Volume-7, Issue-4

Volume-7, Issue-4

July-August, 2021

Research Paper

1. Sign Language recognition system using Convolutional Neural Networks

Communication is key to share and express ideas and thoughts. And not every person has the natural ability to communicate. Mute people communicate with each other and with rest of the people through sign language. Sign language is the way of communication using gestures with hands where each gesture corresponds to particular letter in an alphabet or a word. But to use this every person must have the knowledge of it. But in the real world, it is not the case. With the advancement in the field of deep learning it is possible to solve this problem with low cost. So, this project aims at making it easier for mute people to communicate to the rest of the world. In this project, image of the hand gesture made by the person is captured and is translated to its corresponding meaning in the American sign language system. Equipment such as hand gloves sensor is one of the methods used for sign language detection. But it is expensive and not all of the people in need of it would be able to afford it. A deep learning algorithm called convolutional neural network is used for identifying the gestures and giving the actual letter or word.

Published by: Puramshetty Srinidhi Rao, Potladurthy Sindhu Sri Vatsalya, Ruttala Bhanu Sree Sai, Polavarapu Janshi, Koda InduResearch Area: Deep Learning

Organisation: Andhra University College of Engineering for Women, Visakhapatnam, Andhra PradeshKeywords: Sign language Detection, Image Processing, Convolutional Neural Network

Research Paper

2. Face mask detection system

Face masks have become an increasingly important part of the human lifestyle. Ever since the pandemic began, people have been encouraged to wear face masks to curb the spread of Covid-19. The aim of this project is to replicate on a computer what human beings are able to do so effortlessly - detect the presence of faces in their field of vision. This project aims at using a camera placed in different places around the area, to capture images and detect the presence of a facemask in real-time. The proposed Face Detection System is an application that automates the detection of frontal human faces in a given image. The existence of a mask is indicated by a green square around the person’s face along with the percentage of accuracy of the positioning of the mask. The absence of the mask, however, is indicated by a red square around the person’s face, and its related percentage is also displayed to be accurately used for detecting whether a person is wearing a mask properly or not.

Published by: Korakam Mrudula, M. Sion Kumari, Landa Jayashree, Madala Meghana, Meesala Gnana DeepikaResearch Area: Machine Learning

Organisation: Andhra University College of Engineering for Women, Visakhapatnam, Andhra PradeshKeywords: Face Recognition, Face Localisation, Tensorflow, Normalisation, Real-Time Monitoring

Research Paper

3. Automatic number plate recognition using contours and Convolution Neural Networks

Image processing technology is used in Automatic Number Plate Recognition (ANPR). Automatic Number Plate Recognition (ANPR) is useful for identifying stolen vehicles, smart parking systems, and the use of automobiles in unlawful operations. Character recognition is the first step of ANPR, followed by character segmentation and localization. The technique uses contours and morphological processes to locate the number plate initially. We execute character segmentation after localization. Convolution neural networks (CNN) are used by a segmented character to recognize things because they are known to be good at it. The trained CNN model has an 85.31% accuracy rate.

Published by: Adithya M., Sumitha B. S., Rahul K., Nitish Kumar P., Pramod G. N.Research Area: Computer Science Engineering

Organisation: Atria Institute of Technology, Bengaluru, KarnatakaKeywords: Contours, Morphological Operations, Character segmentation, Convolutional Neural Network, Character recognition, Image processing

Research Paper

4. Driver Fatigue Detection using Deep Learning

Fatigued driving is becoming a dangerous and widespread occurrence for drivers, and it is a key contributor to deadly car accidents. To detect tiredness in drivers, machine learning researchers used a variety of sources of data. The morphological features of both the eye and mouth regions were combined in this work, which looked at the fatigue detection problem in terms of feature quantities, classifiers, and modelling parameters. This particular YOLO model is trained to detect two classes. They are “eyes_open” and “eyes_closed”. As soon as the model detects that a person is closing his/her eyes it rings an alarm to alert the driver and passengers.

Published by: Sujay S., Aditya Ashok Illur, Poornima Kulkarni, Rekha B. S.Research Area: Information Science and Engineering

Organisation: RV College of Engineering, Bengaluru, KarnatakaKeywords: YOLO, CNN, FCN, Filter, Bounding Box

Research Paper

5. Reimagining the city’s identity by strengthening the inner core – A research enquiry for design intervention

A city is its’ past legacy and its present identity. While each city must strive to keep marching forward and upgrade to suit the latest demands of its’ residents, it is important to strike a balance between the past and the present. Flowing towards future ambitions as an urban setting doesn’t necessarily imply a disconnect from its past legacy. The legacy lends the city's identity and gives the citizens a sense of familiarity. Therefore, modern urban planning must not only work towards embracing transition and change of modernity but also strike a balanced relationship between the urban and natural environment. This all-inclusive approach is the soul and crux of cultural heritage management as well. As modernization, commercialization, and urbanization continue to threaten a multitude of historical precincts and buildings, recording and celebrating their existence, acknowledging their contribution to national identity, preserving their associations with the city’s identity today, and protecting them from extinction becomes chiefly important, the corresponding benefit of which is promoting tourism as well. The heritage precincts of Aurangabad city encompass areas surrounding the multitude of the city’s gates of historical significance.

Published by: Kapil Gujarathi, Kuldeep Bhatia, Tushar PaithankarResearch Area: Architecture

Organisation: Marathwada Institute of Technology, Aurangabad, MaharashtraKeywords: Architecture, Heritage, Precinct Development, Urban Planning, Heritage and Conservation

Research Paper

6. Handwritten Digit Recognition using Deep Learning

Deep learning is powerful technique in current generation. This Paper presents the results of handwritten digit recognition on well-known image database using Convolution neural network. Deep learning increases accuracy and reduces computation time as was caused by simple artificial neural network. The applications of digit recognition includes in postal mail sorting, bank check processing, form data entry, etc. The heart of problem lies within the ability to develop an efficient algorithm that can recognize hand written digits and which is submitted by users by the way of a scanner, tablet, and other digital devices. The main objective of this paper is to ensure effective and reliable approaches for recognition of handwritten digits.

Published by: Sanjeeva Kumar, Seenakula Ravi Shankar, Shashank M. V., Vandana K. C., Farhana KausarResearch Area: Machine Learning

Organisation: Atria Institute of Technology, Bangalore, KarnatakaKeywords: Deep learning, Convolution neural network, Artificial neural network

Research Paper

7. Analysis of Dropout in ANN using MNIST Dataset

The concept of Neural Networks is propelled by the neurons within the human brain and researchers needed a machine to imitate the same process. A Neural Network (NN) is a circuit of connected neurons, or in a present-day sense, an artificial neural network, composed of artificial neurons constructed for solving artificial intelligence problems. In the deep neural network, Overfitting is a severe issue. This issue could be caused by unbalanced datasets and incorrect model parameter initialization, which causes the model to adhere too closely to the training data and reduces the model's generalization performance for unknown data. To overcome such problems, Regularization techniques are used. This technique modifies the learning algorithm in a way that increases the model's generalization and performance. Dropout is one such regularization technique for addressing the overfitting problem. During the training, it randomly drops the hidden units or neurons to prevent the units or neurons from co-adaption. This method significantly reduces the overfitting and improves the performance of the neural network model. Dropout is preferred for large neural networks in order to have more randomness.

Published by: Swathi N., Shreeraksha, Shruti A. P., Sparsha S. G., Farhana KausarResearch Area: Artificial Neural Networks

Organisation: Atria Institute of Technology, Bengaluru, KarnatakaKeywords: Neural Network, Overfitting, Regularization, Dropout

Research Paper

8. Impact of social media on societal perception of youngsters: Empirical evidence from graduates in Bangalore City

Today, young people in India use internet and social network more than any middle-aged person. Now days, students are easily getting diverted from the studies because of social networking sites like Orkut, Twitter, Facebook, etc. more time is spending in these kinds of social sites by the youth. Though there is a risk of losing privacy and safety, the youngsters give more importance to such sites as they give chance for getting in contact with classmates, friends and people with common likes and dislikes. Social media has been an important factor in the lives of the people all over the world and providing people a much easy needed connect from shopping to electronic mails, education and business tool. The Social networking sites are giving a window of opportunity for people to connect with parents, relatives and friends who are at a distance or beyond geographical boundaries and reconnect with their old friends, colleagues and mates. It also helps people to make new friends, share content, pictures, audios, videos amongst them. The sample size of the study is 100. A questionnaire is designed to find out the various factors of social media that have impact on youngster’s perception of society. The current research also analyses the advantages and disadvantages of social media and the role of parents and teachers in prevention of misuse of social media.

Published by: Dr. Jaya Patil, Dr. Lakshmi P.Research Area: Journalism, Psychology & Opt. English

Organisation: IFIM College, Bengaluru, KarnatakaKeywords: Social Media, Communication, Internet-based education

Research Paper

9. Case study on measurement of productivity of WFH IT professionals

The Covid-19 crisis has opened senior leaders’ minds to the idea of adopting WFH for all or part of their workforces. In addition to TCS, companies including Twitter, Facebook, Shopify, Siemens, and State Bank of India have announced that they will make remote work permanent even after a vaccine is available. A large-scale transition from traditional, colocated work to remote work arguably began with the adoption of work-from-home (WFH) policies in the 1970s, Thanks to the advent of personal computers, the internet, email, broadband connectivity, laptops, cell phones, cloud computing, and videotelephony, the adoption of WFH increased in the 2000s. This paper attempts to Highlights to understand. To understand the condition of work from home. To measure the effectiveness of work from home. To study impact of work from home on work life balance. 52% of the employees prefer custom environment so that can they work effectively in the good environment, 48% of the respondents get satisfied by taking initiatives while they are working from home, 45% of the respondents have a great response about their work from home as they are able to spend time with their family members, 40% of the company is providing the employees their own separate work life balance policy which has been the highest satisfactory for the employees

Published by: Dr. Veena AngadiResearch Area: Management

Organisation: Bangalore City College, Bengaluru, KarnatakaKeywords: Work From Home, Productivity, Effectiveness

Research Paper

10. Investigation of thermal properties in synthetic fiber reinforced lightweight concrete

The work investigates the basic possibilities to form a fiber reinforced lightweight concrete which posses worthy thermal insulation since on vogue. Thermal conductivity, supreme attention of thermal property that affects heat transfer in concrete by conduction. In general, achieving light weight concrete brings down the thermal conductivity and dead load of the structure. The transforms in FRLWC are primarily related to the density which is correlated to the total porosity. 0.5%, 1% and 1.5% of polypropylene fiber and glass fiber are used in order to enhance the overall concretes characteristics and in a view to restrict the initial crack propagations. Furthermore, weight and thermal conductivity possibly descended by replacing fine aggregate with several materials with low specific gravity (1% of coco-peat powder, 6% perlite, 30% of GGBS and 10% gypsum) which also enhances the workability of fresh mix. M15 grade of concrete specimens are casted and tested for its strength characteristics and thermal property and results with the above-mentioned percentages of fibers and compared for its optimum composition after validation studies. Wall panels of control mix and optimum composition (1% of glass fiber) are modeled and analyzed using the software ABAQUS 6.14-1 and its results are analogized.

Published by: Nandhini S., Muthuraj M. P.Research Area: Civil, Concrete Materials and Science

Organisation: Coimbatore Institute of Technology, Coimbatore, Tamil NaduKeywords: Fiber Reinforced Light Weight Concrete, GGBS, Gypsum, Perlite, Coco Peat, Glass Fiber, Polypropylene Fiber, Thermal Conductivity, and Thermal Resistivity

Research Paper

11. Fringe area transformation of historical Satara village at Aurangabad city

Rapid Urbanization has led to the expansion of cities with changing land use and occupation. These changes have transformed the city hinterlands into Fringe areas / peri-urban settlements. In India, city fringe areas are largely neglected in policy and practices (Randhawa and Marshall, 2014) as they do not belong to any municipal limit and therefore migrants find it easy to settle in these areas. These Fringe areas face serious problems due to inadequate land-use planning and governance. The aim of the research is to study the transformation of historical settlements infringes of Aurangabad city. By detailed studying the settlement history, character and land use pattern, issues and challenges are listed. Based on these listed Issues, the paper highlights the Solutions and Guidelines for the cautious development of these Fringe areas.

Published by: Rajni Sharma, Pranita PranjaleResearch Area: Urban Design-Architecture

Organisation: Marathwada Institute of Technology, Aurangabad, MaharashtraKeywords: Fringe area, Urbanization, Transformation, Urban growth, Issues, Governance

Research Paper

12. Design and Implementation of a Vending Machine and its performance evaluation using EDA tools

In today’s world, vending machines have become an extension of the physical and online stores and are evolving as one of the largest consumption modes. Nowadays, you will be able to see them in malls, offices, stations, parks, etc. These machines are rapidly becoming a great part of one’s shopping experience. This is the reason why a lot of people are looking forward to investing in them and earning money with this very convenient business opportunity. This project aims to design a common vending machine with an additional feature (reverse vending machine) that enables a consumer to recycle the container/wrapper of the item purchased by them for which appropriate incentives are returned. It offers the person to carry out their transaction via cash/card /online payment modes. Unique QR codes/Barcodes are associated with each product to have information about the product and its cost. The reverse vending machine consists of a scanner that scans the code of the product which is inserted into the machine and completes the transaction accordingly. The vending machine is programmed using Verilog HDL and is simulated on ModelSim-Intel FPGA Edition Software. Chip planning, timing, power, and various other design and performance analysis are carried out using Intel Quartus Prime Software Suite.

Published by: Anand Jonathan Roy, Manish Kumar, K. SuganthiResearch Area: Electronics Engineering

Organisation: SRM Institute of Science and Technology, Chennai, Tamil NaduKeywords: Vending Machine, Verilog HDL, Reverse Vending Machine, FPGA, Performance Characterization, Slack, HPWL, Quartus Prime

Research Paper

13. Home security surveillance

Advancing technology in the field of facial recognition systems (FRS) and optical character recognition(OCR), closed-circuit television (CCTV), and automatic license plate readers could make it possible to create a system that could make the gates of society/ homes intelligent. This project examines the convergence of these technologies to design an efficient system and improve the speed and accuracy of potential burglary or break-in identification, also through facial recognition systems and optical character recognition, we aim to automate Guest Authentication and to provide another layer of protection and create a deterrent to burglary and also automate guest authentication via FRS and OCR (which will make the process safer as well as efficient)

Published by: Shubham Tiwari, Rohit Mishra, Ryan Sumbli, Subham GuptaResearch Area: Computer Science

Organisation: The National Institute of Engineering, Mysore, KarnatakaKeywords: Facial Recognition, Optical Character Recognition

Research Paper

14. Use of solar energy to improve the performance of a jaggery manufacturing unit

Jaggery is a boiled sugar cane juice used as a sweetener. Because the combustion process in the jaggery industry has an energy-intensive nature, previous literature studies have introduced various changes in processes and equipment to affect its energy efficiency. This study helps to comprehend commodity alterations and utilization in jaggery by proffering an exergy analysis. The baseline process has been modified operationally to calculate the efficiency of exergies and exergy destruction. By the amendments have respectively enhanced thermal performance and exergy efficiency by 11.2 percent and 0.8 percent. Extensive exergies were expended as excessive energy as flue gas which, due to change requests, was reduced by 11.5 percent. The data indicate that while environmental flue gas was the most apparent type of gas, exergy destruction by irreversible combustion factors caused the largest type of resource use. The study in this report increases the efficiency of energy use as well as setbacks through exergy analytical form.

Published by: Akshay KaushalResearch Area: Agriculture

Organisation: Great Lakes Institute of Management, Bilaspur Khurd, HaryanaKeywords: Jaggery, Sugar, Bagasse, Energy, Temperature

Research Paper

15. Implementation of IoT based smart village for rural development

Villages are considered the heart of our nation India and the economic growth of villages along with cities is as important to us. Hence, for the development to percolate to the grass-root level, the focus must be devoted to the progress of the village. Enabling the concept of IoT (Internet of things) for increasing the possibilities of agriculture growth and productivity, sanitation and well maintenance of drainage which concerned cattle health and human health would lead to the growth of farmers for their smart lifestyle. Therefore, farmers need appropriate facilities and guidance in making their village smart, so this paper IoT implementation proposed for farmers where various data is collected regarding the weather, moist content in soil, blockage and clearance drainage along with harmful gases and dairy products where this information is delivered. This system through raspbian OS, taking input from sensors like IR, UV, LDR. The data is analyzed by collective information and auto-mechanism of some instruments which are connected to reach the target are initiated along sending appropriate messages through GSM to their phones, where Wi-Fi is by default feature included raspberry pi board as no internet connection is required again for communication.

Published by: Shwetha R., Ramyashree P., Sagar R. Sankole, Goutam R.Research Area: IoT

Organisation: Atria Institute of Technology, Bengaluru, KarnatakaKeywords: IoT, Raspbian OS, GSM, and Sensors

Review Paper

16. Dielectric Resonator Oscillator

This paper describes the detailed theory of design of DRO. The design parameters of the Dielectric resonator oscillator (DRO) and the different techniques used to design DRO are illustrated. The use of a negative resistance amplifier (NRC) and the dielectric resonator in the design of DRO are explained.

Published by: Manisha B., Dr. K. Sreelakshmi, Ranjit Kumar DoraResearch Area: Electronics and Telecommunication

Organisation: RV College of Engineering, Bengaluru, KarnatakaKeywords: Resonator, Dielectric Resonator, Dielectric Resonator Oscillator, Negative Resistance Amplifier (NRC)

Research Paper

17. Study on thermal conductivity of fiber-reinforced light weight concrete using natural fibers

Lightweight concrete has lower thermal conductivity and a lower coefficient of thermal expansion. This project aims to develop Eco-friendly thermally insulated lightweight concrete by using fibers. Hemp and sisal are natural fibers that play a major role in the reduction of thermal conductivity. Vermiculite is a naturally available material that can be used for lightweight concrete furthermore provides good thermal insulation. Reducing the thermal conductivity by adding fibers in different proportions (1%,1.5%,2%) in concrete where Vermiculite is partially replaced with fine aggregate and Fly ash is partially replaced with cement in which shows a reduction in thermal conductivity and also it can be used for lightweight concrete. The thermal conductivity of the concrete is tested for different mix proportions. Then the mechanical property and durability of the concrete are tested for different proportions. The thermal conductivity of the fiber-reinforced lightweight concrete is tested and the results show that when the amount of fiber increased the thermal conductivity is low. Thus, the low thermal conductivity is obtained by natural fibers. The mechanical strength of the different proportions of mixes are carried out and results show that the increase in fiber reduces the strength. The plate and wall panel are analyzed in Abaqus for the control mix and low thermal conductivity fiber-reinforced lightweight concrete mix which gives the minimum thermal conductivity and appropriate strength. The results from these experiments are found out that the natural fibers and vermiculite can be a good solution for thermally insulated Eco-friendly building construction

Published by: Shiva Shankari N., Nithyapriya K.Research Area: Civil, Concrete Materials and Science

Organisation: Coimbatore Institute of Technology, Coimbatore, Tamil NaduKeywords: Thermal Conductivity, Natural Fibres, Hemp Fiber, Sisal Fiber, Vermiculite, Fly Ash, Fiber Reinforced Concrete, Light Weight Concrete

Research Paper

18. Improving the accuracy of Neural Networks through Ensemble Techniques

Neural networks usually suffer from model performance problems due to high variance. Ensemble techniques refer to the method of combining multiple models resulting in improving the overall performance of the model. The overall performance can be improved by combining the predictions from multiple models having a good accuracy instead of highly tuning the models, to reduce the variance of predictions and reduce the error due to generalization. In this paper, the different types of ensemble techniques such as stacking ensemble, horizontal voting, and weight average ensemble are being discussed which can be used to improve the model accuracy. The numerous disadvantages of hyperparameter tuning like the wrong choice of parameters, overfitting, and other inefficient optimizing strategies can be overcome using ensemble techniques. The ensemble techniques have numerous advantages such as improving the model performances, reduction of model variance, and so on. Accuracy is improved because results are obtained using the mean predictions of the number of sub-models and the performance is improved with the learning weights of each of the models.

Published by: Monalika Padma Reddy, Deeksha A.Research Area: Neural Networks, Artificial Intelligence

Organisation: Visvesvaraya Technological University, Belgaum, KarnatakaKeywords: Ensemble techniques, Horizontal Voting, Hyperparameters, Neural Networks, Stacked generalization ensemble, Weight Average Ensemble

Research Paper

19. Cold mix technology using granite waste and rubber waste in road construction

Hot Mix Asphalt is used as a paving mix for many decades in road construction. In India, 90 percent of roads are constructed by bituminous pavements only. Certain Imitations associated with hot mix asphalt using are Re emission of greenhouse gases from hot mix plant, that down of plants during the rainy season, problems in maintaining the paving temperature when hauling stances are more, There for to overcome the disadvantages of hot mix asphalt there is an increasing trend for using cold mix design with bitumen emulsion all over the world because of several advantages such as elimination of heating of hinder and aggregate while producing mixes, this helps in protection of the environment and energy conservation.

Published by: Shreyas Anil Patane, Gavrav Pandurang Bavdhane, Dhiraj Pradip Joshi, Omkar Sunil Chavan, Sanika KandalekarResearch Area: Civil Engineering

Organisation: Vivekanand Education Society Polytechnic, Mumbai, MaharashtraKeywords: Cold Mix technology, Emulsion, Aggregate, Anti-striping Agent, Rubber Waste

Research Paper

20. Design of water supply treatment process for rural areas

Every aspect of life requires water. Safe drinking water is a basic human right and a prerequisite for improving global living conditions. A clean water supply is the bedrock of a strong economy, but it is woefully devalued globally. Nearly 1.5 million children die each year from water-related diseases around the world. The health of the inhabitants in rural areas has always been low and suppressed. A proper water supply tends to improve people's quality of life by increasing their usage of clean drinking water, reducing the prevalence of water-borne diseases, and increasing their productivity. A design of the water supply treatment process will prove to be beneficial for people in rural regions with careful planning, economic and financial evaluations along with effective design, operation, storage, and distribution facilities provided.

Published by: Falguni Dachewar, Dr. Harshal WaradeResearch Area: Environmental Engineering

Organisation: Yeshwantrao Chavan College of Engineering (YCCE), Nagpur, MaharashtraKeywords: Treatment Processes, Non-Conventional, Conventional, and Units

Research Paper

21. Effectively developing a recommendation system by implementing collaborative filtering

Recommender structures are developed to predict a client's preferences and recommend items that are likely to be relevant to them. They are most likely the most complicated AI computations used by web businesses to assist with transactions. Collaborative filtering, for example, finds a group of users based on the goods they buy or provide comments on and then recommends popular items in the group. Using variables like Video ID, hate, likes, favourite count, description, and keyword, a video recommendation engine is employed on the YouTube dataset. The most popular online video community on the planet is YouTube. Users' likes and dislikes on the site are used to suggest groups of videos to them. Collaborative content filtering algorithms were used in the suggested system. Data can be collected in a variety of ways, such as downloading with certain categories, ensuring that the information is always up to date. Users will see the top five YouTube videos based on the experimental results.

Published by: Darshan C. M. Pawar, Arthi Sharma V., Syeda Fathima Zohra, Syeda Arbeena, Maqdum ShariffResearch Area: Recommendation System

Organisation: Atria Institute of Technology, Bengaluru, KarnatakaKeywords: Recommendation System, Machine Learning, Collaborative Filtering, Python

Research Paper

22. Strengthening and compressive behavior of composite multilimbed lightweight CFS build up a column

In building construction there are basically two types of structural steel, hot-rolled steel shapes, and cold-formed steel shapes. The manufacturing process of cold-formed steel involves forming the material by either press-braking or cold roll forming to achieve the desired shape. The built-up CFS columns have better performance than CFS columns of single-channel sections. In this study, the structural performance of new types of composite columns: I-shape, C-shape, and Z-shaped CFS columns of partially concrete-filled and fully concrete-filled are analyzed. This axial performance is compared with hot rolled sections (ISMB) using ANSYS 19. A finite element analysis (FEA) model was developed to simulate the structural performance of these specially shaped CFS columns. Columns were analyzed under axial loading conditions. Investigation in buckling improvement due to partially and fully filled in CFS has good scope in the cost-effective method of improving stiffness and strength. Global buckling was the major failure mode detected. From the comparison, it was observed that the weight of CFS is half of ISMB and fully filled concrete CFS I-shaped section has a 111% increase in load than ISMB section

Published by: C. N. Nazinin, Adila Abdulla KunjuResearch Area: Structural Engineering

Organisation: Ilahia College of Engineering and Technology, Mulavoor, KeralaKeywords: CFS Column, Hot Rolled Ismb Column, Finite Element Analysis (FEA), Buckling, Axial Loading, Multi-Limbed Column, Pinned Support, Full Filled Concrete (FC), Partially Filled Concrete (PC).

Research Paper

23. Multi regional GKE cluster implementation on GCP using Terraform

With the increase of threats and attacks, it's more necessary than ever to be prepared, and implementing cloud endpoints for decryption and authorization is getting increasingly difficult. Kubernetes is one of the finest methods for mitigating the risk of multi-regional failures. This paper describes ways to develop effective and efficient ways to achieve it with the best practices to build the global Kubernetes presence for the cloud authorization endpoint with guidance to build infrastructure and DevOps practices that are necessary to make it operate in multi-region, high-availability presence and leveraging Kubernetes and spanner. Also, automation using GitHub Style CI-CD

Published by: Aditya Ashok Illur, Aaryaman T P Katoch, Poornima Kulkarni, Manas M. N.Research Area: Cloud Engineering (Google Cloud)

Organisation: RV College of Engineering, Bengaluru, KarnatakaKeywords: Endpoints, Decryption, Kubernetes, Cloud Authorisation, Multi-Region, Spanner, CI-CD

Research Paper

24. Web development system for online food and stationery products

The daily increasing demand from restaurant travelers created the need to pay more attention to the hospitality industry. Customers need many alternative supplies with ease of ordering and delivery. Technical intervention has come to be obligatory to enhance the excellence of services and commercial enterprises on this monopoly. Pieces of proof have already existed for fragmentary automation of the food ordering procedure in our we of a, most of these technologies applied are primarily based on wi-fi technology. This documented reviews the utilization and combination of a net-based total era for eating places. A dynamic database software system became designed to fetch all the statistics from a centralized database. Consumer software becomes given importance at some point of the improvement of this interface and performance, accuracy was the priority for better consequences and services and to reduce the majority of the human error. It became observed that this gadget became successful in overcoming the shortcomings determined in the previously evolved similar structures. furthermore, this system becomes very cost-effective in development as well as at some point of use. Online food and stationary product ordering device are contingent right here which make simplify the food and stationary product ordering procedure. The used gadget suggests a consumer weld and updates the food list with all to be had optional in order which, it becomes affluence the patron's paintings. Customers can choose a couple of objects to give an order and may view order information earlier than log out. Customers then get an order confirmation from the system. The updated order is located in the string and restored inside the database and again back into real-time. This whole system assists the group of workers to go through the orders in actual time and method them efficaciously with minimal mistakes. Through this website, we will try to give online food and stationery to the students and teachers of my college which was found to be very helpful. Through this website, they can easily get their needful at any time. This website contains a map, where they can order from any shop of their choice

Published by: Manasij Mandal, Dr. Bikramjit Sarkar, Ayusree Nandi, Pritilata Majumdar, Twinkel DharResearch Area: Computer Science Engineering

Organisation: JIS College of Engineering, Kalyani, West BengalKeywords: Web-based, Food, PHP, MYSQL, CSS, HTML, BOOTSTRAP

Research Paper

25. Study on strength of gypsum composite wall panel

Gypsum based composites are widely used in building construction because of their low cost, easy manufacture and many benefits for house living conditions. The wall panels are solid and can be used as load bearing walls. The materials to be used for the panel are gypsum, white cement, glass fibre, and sisal fibre. Gypsum has been widely used in the field of construction engineering due to low energy consumption, cost effective, good fire resistance, thermal and sound isolation properties etc. White cement is a cement with a high tricalcium aluminate content and almost no tetra calcium alumina ferrite. The white cement mortars showed 7% greater tensile strength and 25% greater compression strength than the grey cement mortars. Roving Glass Fibre commercially available E glass fibres can be used to reinforce the gypsum plaster matrix and produce a strong composite material having improved tensile and impact properties. Incorporation of glass fibre increases the mechanical, thermal and water resistance properties. Sisal Fibre is a natural fibre of Agavaceae (Agave) family that yields a stiff fibre, traditionally used in making twine and rope. The advantages of natural fibre composites include lightweight, low-energy production and environmental friendly. Several series of gypsum composites by weight substitution of gypsum with a 1.5% weight of glass fibre and 1% of sisal fibre with proportions such as 20% of white cement are developed and the mechanical properties are to be tested. The axial and shear capacities of gypsum composite wall panel have to be obtained from the experimental tests. The simplified analytical model is verified using the results of ANSYS analysis with materials and properties typical of those used in the building. The results are compared with the experimental results of the test conducted, and results from the model analysis.

Published by: Sivasangari Gopalakrishnan G., Nithyapriya K.Research Area: Civil, Concrete Materials and Science

Organisation: Coimbatore Institute of Technology, Coimbatore, Tamil NaduKeywords: Gypsum Composite Wall, Finite Element Model, Glass Fibers, Sisal Fibers

Research Paper

26. Study on acoustic properties of natural fiber reinforced light weight concrete

Fibers and foams are commonly used in commercial solutions in acoustic applications because of their excellent sound absorption coefficient at high frequencies [1, 2]. The present study focuses on improving the sound absorption property of lightweight concrete by adding coconut fibers in different proportions (0.5%, 1%, and 1.5%) in concrete where fine aggregate is replaced by 7% perlite. Gypsum is added to replace 10% cement to make the concrete lightweight and also to perform as a good sound absorber. A foaming agent is also added to improve the porous property of the concrete [2]. The acoustic absorption coefficient is determined using the impedance tube method-ISO 10534- 1:1996 [7]. The responses from the tests performed are compared and the results are analyzed. The results show that the addition of fiber increases sound absorption property and also the addition of perlite and gypsum which makes the concrete lightweight also has a significant impact.

Published by: Nivetha V., M. P. MuthurajResearch Area: Civil Engineering, Concrete Materials and Science

Organisation: Coimbatore Institute of Technology, Coimbatore, Tamil NaduKeywords: Sound Absorption Coefficient, Perlite, Coconut Fiber, Foaming Agent, Impedance Tube

Review Paper

27. Blood bank management system

Blood is a fundamental component of the human body that is essential for human life; it delivers nutrients and oxygen to all body cells, and we chose the blood bank as our paper because of its significance. A real-time central blood bank management system based on Firebase was created to aid in the management of donor and seeker records, bloodstock monitoring, and providing a service that assures patients have speedy access to blood donors of any sort, whether volunteers, hospitals, or blood banks. The system was designed in such a way that both web-based and android-based platforms are being used. The web platform is used by blood bank system administrators to update available bloodstock information, manage blood requests and donor requests, and the mobile platform is used to search for blood supplies from registered blood banks or hospitals and motivates donors to donate blood by reminding them through notifications. As a result, this platform will play a critical role in making blood quickly available for patients in need, boosting the chances of saving their lives.

Published by: Abhishek Raj Nair, Dhanush Krishnan U., Emy Alphonsa Selastin, Tijo B. Gomez, Nitha L. RozarioResearch Area: Computer Science and Engineering

Organisation: Marian Engineering College, Thiruvananthapuram, KeralaKeywords: Blood Bank Management System, Cloud Storage, Donor, Seeker, Real-Time

Review Paper

28. Review of the impact of residual stresses on various parameters during a wire-cut EDM cutting process

Wire cut EDM is a very sophisticated technique that is utilized in precision manufacturing. Because of the tiny residual stresses that exist inside a grain, mostly as a consequence of the existence of dislocations and other crystalline defects, residual stresses produced during cutting operations must be taken into consideration. The primary goal of this study is to give an overview of current developments in the field of residual stress generation and their impact on different factors such as surface roughness, dielectric material utilized, and pulse on time during wire cut EDM. Examine the methods for measuring residual stress briefly as well.

Published by: Sunil, S. K. S. YadavResearch Area: Advance Manufacturing

Organisation: Harcourt Butler Technical University, Kanpur, Uttar PradeshKeywords: Wire-Cut EDM, Residual Stresses, Performance Parameter, Advance Manufacturing Process

Research Paper

29. Kesla Smart Lock

The information-sharing aspect of information technology is playing a major role in all kinds of business either it’s a non-profit organization or a profit organization. Now a day, all types of business requirements and adopt the facility of advertisement to promote their services and products. Digital advertisement is the current requirement of modern businesses and the information world. Security plays a major role where a Huge amount and expensive things are going to be stored (lockers, personal lockers, house purpose, etc…). The proposed system provides more benefits over a traditional lock, as well as great security. The KEY consists of a Fingerprint Sensor and 16x2 LCD along with a PICI8F452 microcontroller. The LOCK consists of a microcontroller along with a servo motor. Users can perform operations such as locking and unlocking the locker or door. The aim of this project is to make such type of lock which will provide more security as well as cost-efficient implementation. Electronic KEY consists of Fingerprint Sensor as input and LCD display as output device and microcontroller as controlling unit. The Fingerprint Sensor should provide to unlock the key which is set by the user. On the other option, Fingerprint Sensor changing option is gives more security, that only authorized persons can do it. Thus the security of this system is ensured.

Published by: R. Karthik, R. Venkata chalam, Y. Mohan, M. C. Charanraj, K. SwaroopResearch Area: Electrical

Organisation: Kuppam Engineering College, Ekarlapalle, Andhra PradeshKeywords: Finger Print, Microcontroller, LCD Display, Application Software

Research Paper

30. Development and performance evaluation of interlocking bricks using industrial waste materials

Red brick is a basic building material used in the construction of buildings. In the ever-growing construction field, Civil Engineers are searching for new building materials based on economy, durability and efficiency. It should also be eco-friendly. This project aims to create low cost, eco-friendly, sustainable and durable system for the construction of load-bearing walls using the Interlocking Bricks (IB). It is a mortar-less masonry system and cement is also not used in brick manufacturing. The interlocking brick is made using waste materials (i.e. fly ash & GGBS) and hydraulic lime as binder. Mix proportions are varied based on the proportion of waste materials. Comparison of interlocking brick and conventional brick on the basis of compressive strength & water absorption of the brick unit. It was found that interlocking brick composed of 55% of fly ash, 25% of GGBS and 20% of lime had the best results in all the tests. The compressive strength was 30% higher than the conventional red bricks. The interlocking brick wall panel was tested by applying axial compressive load and software analysis is carried out using ANSYS 2021 R1 to compare it with the experimental results to find the degree of accuracy between theoretical and experimental models. Cost analysis is done to compare the rate of construction with conventional red brick masonry and was found that it was almost 40% cheaper.

Published by: Vijay Adhithya A., Kalpana V. G., Malavan K.Research Area: Civil Engineering, Structural Engineering

Organisation: Coimbatore Institute of Technology, Coimbatore, Tamil NaduKeywords: Fly Ash, GGBS, Lime, Compressive Strength, Interlocking Brick, Mortar-less Masonry, ANSYS, and Cost Analysis

Research Paper

31. Cartoonify Image using Bilateral Filter and Adaptive Threshold

In the ever evolving technology and research in various domains processing of an image which having an object in an image, finding out dimensions, the objects count, changing images to blurring effect and providing animated features are given appreciation in the modern world involving media and communication. There are multiple properties in image processing. Each of property helps to produce image with more clarity. Each image is looked through various grids. Each picture element is together viewed as a 2-D matrix. With each cell storing different individual pixel values corresponding to every cell of picture element.

Published by: Saqib Ahamed Sharief, Sanjay S. V., Sunil H. V., Padmini C.Research Area: Computer Science Engineering

Organisation: Atria Institute of Technology, Bengaluru, Karnataka Keywords: Image Processing, Animated Features, 2-D Matrix

Research Paper

32. Android dictionary application in Android studio

For Students, Teachers and any individual across the world, Dictionary plays a significant role in their life in variety of ways. For instance, with the help of dictionaries, Students can understand their subjects better, improve their communication, and improve their grades by using the words correctly. For medical professionals, a dictionary consisting of medical terms, sorted alphabetically, will be helpful for quick reference. The first ever dictionaries are in the form of books, available even now in any bookstore. But they consume lot of time in searching and the risk of losing them or pages being torn-out is high. With the evolution of technology, it is now much easier to search the unfamiliar words on search engines such as google, etc., with an active internet connection. This advancement is much efficient than the custom book-form, yet is far from the best. This is because of some factors like battery consumption, internet charges, etc., that are evident with using search engines. Thus, the need for developing an android dictionary app is in excess. There are some offline dictionary apps that exist before which fulfill the basic requirement of providing meaning for a word or they’re just limited to few features. But they do not provide more features altogether in one app that would help user understand better. For example, a “Easy English Dictionary Offline Voice Word Meaning” app available in the google playstore does not contain features like antonyms, word sharing and it also doesn’t give the context in which the word can be used. In order to take care of all these issues, we created a platform where the user finds all advanced features of the dictionary in a single app. This helps them improve their language and expand their domain of vocabulary. This offline app is developed by using Java for back-end and XML for front-end development, SQLite Database for database creation, and with Android Studio as IDE. This paper gives an understanding about how our application is a package of many features available together, which a dictionary should essentially incorporate in order to provide the user with utmost understanding. In our app, we provide features like definitions, synonyms, antonyms, examples and pronunciations to the words using Text-To-Speech class. The main aspect which distinguishes and makes our app special from the other offline apps is its sharing feature. When a user browses through any document/site on his mobile and comes across a word that he/she is unfamiliar with, the word can be simply shared to the app from that document/site itself. The app then displays the word with its definition, synonyms, etc. This eliminates the extra effort and time spent in opening the app and then searching the word.

Published by: Keerthana Mudadla, M. Sion Kumari, Sadasivuni Nikhitha, Padmanjani Darapureddy, Praneetha MekaResearch Area: Computer Science & Systems Engineering

Organisation: Andhra University College of Engineering for Women, Visakhapatnam, Andhra PradeshKeywords: Text-To-Speech, Android Studio, SQLite Database, Java, XML

Research Paper

33. Effect of Reinforced Aerocon Block Infill And Double Diagonal RCC Strut RC Frames Under Cyclic Loading

Traditional infill materials considerably influence the holistic response of framed structures due to their increased strength and stiffness. At present, aerocon autoclaved aerated concrete (AAC) blocks have widespread use around the world as a prospective infill material. Hence, a smaller scale prototype of a RC frame with Reinforced Aerocon Block Infill was constructed in the laboratory to evaluate its performance under lateral loading. Also, to enhance the load carrying capacity and stiffness characteristics, RC frame with Double Diagonal RC Strut was constructed and tested under lateral loading.This study is intended to investigate the behaviour of RC Frame with Reinforced Aerocon Block Infill and RC Frame with Double Diagonal RC Strut under lateral loading. The load-carrying capacity, Stiffness degradation, Ductility factor , Cumulative ductility factor and Energy dissipation capacity of the RC frames had been documented. The response of the frames showed the complete behaviour of the RC frames under lateral loading. the infill contribution to the overall structural performance, significant enhancement of stiffness, strength and energy dissipation of frame is evident. Compression diagonal failure was eliminated in the brick infill by the presence of reinforcement layers.

Published by: G. Ajisha Selva Santhi, Dr. S. ArulselvanResearch Area: Civil Engineering

Organisation: Coimbatore Institute of Technology, Coimbatore, Tamil NaduKeywords: Cyclic Loading, Aerocon AAC Blocks, Reinforced Block Masonry, Lateral Loading

Research Paper

34. Effectiveness of online teacher education program- A case study

Teachers have to perform multiple roles like academic facilitators, transmitters of knowledge, organizers, and guides. In order to enable teachers to meet these professional expectations, concerned stakeholders work hard to design teachers' training course design, exposure about pedagogical practices is given, updation of knowledge and skills is ensured through in-service teacher training programs. In-service teacher training help teachers to evolve and adapt to the fast-changing global scenario. The spread of the COVID 19 virus forced educators to design and opt for online ways of fostering the professional capabilities of teachers to enable them to get connected to their students through various online modes. The present study focuses on the need and ways of online training for teachers so that they can reduce the learning deficit caused due to corona pandemic. The factors like course design, mode of transaction, hours spent, degree of participation, the competence of teacher educators, exposure, and expertise to use technology add to the effectiveness of any online program. An effective online teacher training program brings desirable behavioral changes in terms of knowledge, skills, and beliefs of the participants.

Published by: Dr. Ritika Dabas, Dr. GeetaResearch Area: Education

Organisation: State Council of Educational Research and Training, New Delhi, DelhiKeywords: Online Teacher Education, Effectiveness, In-Service Teacher Education

Research Paper

35. Interactive inverter for grid-tied solar power generation

Presently a lot of work is being carried out in held of distributed generation. Many distributed generation systems are being designed and connected to the electric grid. At a time when the predictable sources of energy such as coal, oil, etc are fast vanishing, a study of distributed generation systems and building of such systems using renewable energy sources becomes very main. When a DG source is being connected to the grid, there are many constraints to be met one of which is the harmonic content of the current being injected into the grid. The current being injected should have harmonic content compliant to standards such as IEEE This project deals mainly with building the hardware for a grid-interactive inverter. This means that a proper scheme should be present in the system to limit the harmonic current inoculation into grid. The hardware is customized to be used for a PV panels based distributed generation system. In this work, Liters are designed to eliminate only the higher-order harmonics. This is due to the reason that liters would be less bulky and cheap when they are designed to attenuate only the higher-order harmonics. In order to mitigate the lower order harmonics, an adaptive selective harmonic elimination technique (AHE) is used. The validity of the AHE technique is varied in hardware. Overall, the project work involves the building of the inverter hardware, the Liters, transformer and design and implementation of closed-loop control along with AHE scheme.

Published by: K. Mohan, Sarah Babu V., T. Dinesh, K. Rahul Raj, V. PandiyanResearch Area: Electrical

Organisation: Kuppam Engineering College, Ekarlapalle, Andhra PradeshKeywords: Solar Panels, Inverter, Batteries, Led, Capacitor

Case Study

36. Anterior fractured tooth restoration using fiber-reinforced composite: A case report

Anterior teeth fracture is one of the most common types of complaints in the dental office. It affects not only the function and speech of the patient but also the emotional and psychological well-being of the patient due to esthetic concerns. The reconstruction of the structurally compromised anterior tooth is of great challenge to dentists. Conventional composite restoration is the choice of restoration in such cases, but strength is an issue. To provide longevity and strength to restorations fiber-reinforced composites can be used in such cases. In the present article esthetic rehabilitation of anterior fractured tooth using fiber reinforced composites is presented.

Published by: Dr. Pradnya V. Bansode, Dr. Seema D. Pathak, Dr. Madhuri Wavdhane, Dr. Geetam U. DuduskarResearch Area: Dentistry

Organisation: Government Dental College and Hospital, Aurangabad, MaharashtraKeywords: Fibre Reinforced Composite, Fractured Anterior Teeth, Esthetics

Review Paper

37. Review of heat exchanger for subcooling of liquid Nitrogen in GM cryocooler

The heat exchanger is a device that exchanges heat between two flow lines. The goal of this article is to emphasize and presents briefly the heat exchanger designs used for liquefaction of nitrogen gas and subcooling of liquefied gas. Different researchers proposed various heat exchanger designs for liquefaction and subcooling of liquid nitrogen. Liquefied nitrogen gas has many applications. In this article, the heat exchanger designs developed by researchers over time for effective subcooling of liquid nitrogen are addressed and studied. Further content is focused on increasing the effectiveness of this type of heat exchanger for effective subcooling. The gaps in research identified and mentioned in the article.

Published by: Krushna D. Koshti, Prajitsen G. DamleResearch Area: Mechanical Engineering

Organisation: Shrama Sadhana Bombay Trust's College of Engineering and Technology, Jalgaon, MaharashtraKeywords: Liquid Nitrogen, Heat Exchanger, Subcooling

Research Paper

38. 5G Network: The Emerging Trend of the Decade

Everyone loves speed and besides rapid web, so it's nothing unexpected that each significant telecom on the planet is attempting to make it considerably quicker. Smartphone's, watches, homes, and vehicles are progressively requiring stable web associations. To make due on the planet where in consistently the speed changes and where we encourage for increasingly more innovation, here comes the fifth-age innovation: 5G. In future, i.e., a world past 4G, a portion of the excellent goals that should be satisfied are expanded limit, further developed information rate, diminished inertness, and quality assistance. To satisfy these needs, enormous scope improvement in the phone design of 5G is required. This paper essentially lays accentuation on the fifth era for example 5G cell network design and a portion of the fundamental arising advances that can demonstrate productive in acculturating the engineering and summiting the requests of clients. This paper is satisfied with the subtleties identified with 5g with the superb spotlight on the enormous different info various yield innovation and gadget to-gadget correspondence (D2D). An overall believable 5G cell network design is being proposed with the rule taken from the web books and by the point-by-point investigation of the theme.

Published by: Aksh Yadav, Harsh Singh, Siddhant Singh, Advay Surve, Poonam VengurlekarResearch Area: Computer Science

Organisation: Thakur Polytechnic, Mumbai, MaharashtraKeywords: 5G, Wireless Network, Organisation, 5G Network Trend, MIMO

Research Paper

39. Importance of technology in managing indoor air quality

This research investigates the connection between technology and HVAC & then presents a review of the indoor air quality monitoring systems based on usage of technology. Indoor Air Quality (IAQ) is more important than people realize and is often an overlooked hazard. We often miss those nagging and often subtle signals of discomfort that poor air conditions can cause. We may understand that the air is stuffy, or damp, or irritating to our sinuses, but our job tasks seem to be calling us and we ignore the signs that accompany poor IAQ. Underperforming HVAC systems and buildings with poor ventilation expose hundreds of thousands of workers to indoor air contaminants every day.

Published by: Dr. Abhijit SarkarResearch Area: Technology

Organisation: Sharekhan By BNP Paribas, Mumbai, MaharashtraKeywords: IoT, Sensors, Indoor Air Quality(IAQ), Productivity

Research Paper

40. DonateEazy: Web application to assist local donations towards NGOs and non-profit organisations

Around 1.89 billion people, nearly 36% of the world's population live in extreme poverty. Most people lack the basic necessities such as daily meals and housing. Several NGOs and independent organizations work relentlessly around the globe to help deliver the resources to the people in need every single day .In these unprecedented times of COVID-19, the pandemic has hit the unprivileged hardest . The number of people suffering with unemployment and critical health issues has skyrocketed and donations are needed now more than ever . DonateEazy aims to make the majority of the process online, from creating and running campaigns to supporting social causes. It allows the donors to directly get in touch with the NGOs and the volunteers to the donors making the process easier.

Published by: Suhena Sujay, Viviana Perpetua Aranha, Shivani Kini, Ratna Kumari, Dr. Devi KannanResearch Area: Computer Science Engineering

Organisation: Atria Institute of Technology, Bengaluru, KarnatakaKeywords: Web Application, Donation Website, Mern Stack

Research Paper

41. Web application security – Automating the manual exploitation methods and eliminating false positives

Many web application security scanners are prone to false alarms indicating that your website is vulnerable when it isn’t. False positives are a major problem in web application security, as they make security testing slower, less accurate and more frustrating. Proof-Based Web Vulnerability Scanning Technology in DevSecOps/SecDevOps environment will let you eliminate security vulnerabilities as early as possible, helping you save a lot of resources. It would automatically exploit identified web security vulnerabilities and also produce a proof of exploits that confirms that the identified vulnerabilities are genuine and not false positives. In this paper we present a technique to find web vulnerabilities using our proposed algorithm and provide extracted sample data as proofs. Our tool identifies vulnerabilities with the same level of certainty as a penetration tester or bounty hunter. This will assist developers and security teams in fixing vulnerabilities in less possible times.

Published by: Jayshish M. Popat, Mohammad Ashar Nawab, Asuri Ritesh Kumar, Nishant Prakash, Manjula M.Research Area: Security

Organisation: Atria Institute of Technology, Bengaluru, KarnatakaKeywords: Vulnerabilities, Exploits, Proofs, False Positives, Resources

Research Paper

42. Advance skin diseases diagnosis and leaveraging using image processing

Air pollution has a variety of effects on human skin. In heavily populated areas, skin problems are very frequent. These diseases have a severe effect on people's life because they create a significant demand for disease diagnosis. The suggested study on a skin disease detection system uses image processing to get an accurate diagnosis. By studying the input image, the process detailed here seeks to discover skin illness. Filtering the input to eliminate noise, converting the image to a grayscale image, and image segmentation are all part of the approach. Feature extraction is used to reduce the quantity of data that the classifier has to process. The SVM (Support Vector Machine) is then used in the image classification to identify the skin disease. The greater use of technology has resulted in a more efficient and accurate manner of diagnosing the disease, allowing it to be treated more quickly. Skin illnesses such as rosacea, melanoma, psoriasis, and acne can be detected with an accuracy of 89 percent using the proposed method.

Published by: Akhil Reddy, Raghupathi Reddy, Shiva Kumar, Dr. K. Sateesh KumarResearch Area: Image Processing

Organisation: Sreenidhi Institute of Science and Technology (SNIST), Hyderabad, TelanganaKeywords: SVM, GLCM

Research Paper

43. Management of fractured endodontic instruments by file bypass technique: A report of two cases

The separation of an endodontic instrument within the root canal system can be one of the most stressful and unpleasant situations with which the clinician can be confronted. These fractures often occur due to incorrect use of instruments. Different devices and techniques have been developed to retrieve fractured instruments during the endodontic procedures The clinician is confronted with a few options when considering this situation. These options can include leaving the fragment where the fracture occurred and incorporating the fragment to form part of the final obturation or removal from the root canal. It can be stated that the bypass technique can be considered a simple and effective technique for the management of broken instruments into the root canal.

Published by: Dr. Pradnya V. Bansode, Dr. Seema D. Pathak, Dr. Madhuri B. Wavdhane, Lipsita PriyadarshiniResearch Area: Dentistry

Organisation: Government Dental College and Hospital, Aurangabad, MaharashtraKeywords: Instrument Fracture, Instrument Separation, File Fracture, Fractured Instrument, NiTi Rotary File, Root Canal Treatment

Research Paper

44. The efficiency of food waste material for the removal of metal and metalloid from a multi-element solution

Excessive release of wastewater particularly rich in heavy metals from industrial activities is a critical environmental problem worldwide. Many metals, which are toxic and can cause various environmental problems Therefore, their removal from polluted solutions becomes one of the focuses of environmental remediation. The studies have shown the potential of food waste materials as low cost adsorbents for the removal of heavy metals and toxic elements from wastewater. Adsorption processes are being widely used by various researchers for the removal of heavy metals from waste streams and activated carbon has been frequently used as an adsorbent. Despite its extensive use in water and wastewater treatment industries, activated carbon remains an expensive material. In this study, the adsorption capacities of food waste materials along with agricultural and industrial waste by-products such as rice husk and fly ash were evaluated by comparing the adsorbents’ efficiency for the removal of elements from complex element solutions, maintaining homogeneous experimental conditions. The examined materials resulted to be extremely efficient for the adsorption of many elements from multi-element solutions as well as from a heavy metal wastewater. The objective of this research is to study the utilization possibilities of less expensive adsorbents for the elimination of heavy metals from wastewater.

Published by: Nazrin Riyas, Shabins Basheer, Asna Binu, Arjun T. A., Rashida P. K.Research Area: Research Article

Organisation: Ilahia College of Engineering and Technology, Mulavoor, KeralaKeywords: Low-Cost Adsorbents, Adsorbents’ EffiCiency, Metals, Heavy Metal Wastewater, Environmental Remediation

Review Paper

45. Review on Improving the capacity of black cotton soil by using different materials example bio-enzymes and bagasse ash, etc.

Soil is the main part of the foundation; it is very important to build a strong and durable structure. If soil is not stable then, there may cause the failure of the structure. In black cotton, the soil has a very low bearing capacity and high swelling and shrinkage characteristics it forms a very poor foundation, that cannot be affordable, India is the largest area occupied by black cotton soil. India is an agricultural country that comes in the top ten countries in the world it contributes many times through the agricultural field. India consists of 30-40% of Black cotton soil. Maharashtrian Western produces sugarcane on a large scale and bagasse formed by sugarcane. And to improve the strength of soil the stabilization (making more stable) of soil by conducting experiments on Black cotton soil by replacing bagasse ash (4%, 8%,12%,16%,20%). Another material mixed in black cotton soil is bio-enzyme (Terrazyme) with different dosages of 250ml/2m^3,250ml/1.5m^3,250ml/1m^3,250ml/0.5m^3 respectively. Due to this the strength of soil increases.

Published by: Shaikh Pirsab Maqbulsab, Ghogare Satyajeet, B. R. Lagad, Dr. S. R. BhagatResearch Area: Soil Mechanics ( Civil Engineering )

Organisation: Dr. Babasaheb Ambedkar Technological University, Lonere, MaharashtraKeywords: Black Cotton Soil, Soil Stabilization

Research Paper

46. COVID-19 facemask and Social Distancing Detector

The world is facing a huge health crisis due to the rapid transmission of COVID-19. The World Health Organization (WHO) issued several guidelines for protection against the spread of coronavirus. The impact of COVID-19 has fallen on almost all sectors of development, mainly the healthcare system is going through a crisis. According to WHO, the most effective preventive measure against COVID-19 is wearing a mask and maintaining social distance in public places. This paper introduces face masks and social distancing detectors that can be used by the authorities to make mitigation, evaluation, prevention, and action planning against COVID-19 which is causing a health crisis. Detection of people who are not wearing masks and not maintaining social distance is a challenge due to the Outbreak of the Coronavirus pandemic which has created various problems. This paper aims at explaining the design of a system that helps in solving the above issues, i.e detection of mask and social distance.

Published by: Mansi Jha, Priya G. M., Nisha, Pallavi N.Research Area: Machine Learning

Organisation: Atria Institute of Technology, Bengaluru, KarnatakaKeywords: Face Mask Detection, Social Distancing Detection, Convolutional Neural Network

Research Paper

47. Inductor coupled converter

This research work presents a high gain direct current–direct current (DC–DC) converter which is derived from a traditional boost converter. Distributed renewable energy sources such as photovoltaic (PV) modules, wind, and fuel cells are becoming possible alternatives. However, to connect these systems to the grid, reliable DC–DC boost converters with high voltage gain is becoming a requirement. Firstly, a new open-loop DC–DC boost converter with superior performance in terms of voltage step-up ratio and reduced voltage stress on the switches, compared to other existing high gain DC–DC boost converter counterparts is proposed. Along with analyzing the operation principle of the proposed converter. This converter can easily achieve a gain of 20 while benefiting from the continuous input current, effectively maintain the voltage output at the required level, closed loop dc-dc converter with Proportional–Integral-Differential (PID) controller, a multi-loop with Proportional–Integral (PI) was proposed and simulated. a charge controller was designed and operated along with closed loop dc-dc converter to supply load with two different voltage requirements. Based on the simulation results the proposed controller can maintain the output voltage at the required level with respect to the changes in load.

Published by: R. Kotesh, M. Vignesh, B. Lakshmikanth, A. Raman, M. SeenivasanResearch Area: Electrical

Organisation: Kuppam Engineering College, Ekarlapalle, Andhra PradeshKeywords: Converter, High Voltage, Step-Up

Research Paper

48. Aura – Virtual Personal Assistant

Today, with the advancement of technology, virtual personal assistant plays important role in day-to-day life from searching information from the web to automating certain tasks. Various virtual personal assistants exist like Google Assistant, Siri, Cortana. Laika is one such text-based virtual assistant which can perform certain tasks. Laika is simple with a user-friendly interface and can perform simple tasks like making short notes, telling jokes, greetings, and suggest certain tasks. With the increasing popularity of Virtual Personal Assistants, the interaction between humans and their machines has increased significantly. This system can interact with humans and machines without being limited by their physical appearance or capabilities. This system is mainly used in various industries such as education, medical assistance, and home automation. Due to this, the concept of Virtual Personal Assistants has gained widespread acceptance.

Published by: Shubham, Supriya Rani, Sanskar Srivastava, Pallavi T. P.Research Area: ML & AI

Organisation: Atria Institute of Technology, Bengaluru, KarnatakaKeywords: Natural Language Processing (NLP), Stemming Techniques

Review Paper

49. Review paper on industrial wastewater treatment processes

This paper reviewed five (5) researches on industrial wastewater treatment processes, the methods employed in these researches are aerobic, anaerobic or the combination of both methods. The paper tried to briefly discuss the motives of the researchers, their instrumentations and results. These researches include a combined anaerobic-aerobic system for treatment of textile wastewater conducted in Malaysia (2007) by Mahdi et al., Fayza et al., in 2004 conducted a research on chemical industrial wastewater treatment, a preliminary study on nitrogen and organic removal efficiency of a lab-scale system using aerobic and an-aerobic reactors by Florante et al., in 2009, a research on Wastewaters from olive mills and pulp and paper mill industries in Jordan conducted by Bashaar in 2004 and a survey on wastewater treatment plants in the Slovak Repulic by Gašpariková et al., in 2004

Published by: Gopal Ganesh Rathod, Prafulla Dnyaneshwar Baviskar, Balram Lagad, Dr. S. R. BhagatResearch Area: Civil Engineering

Organisation: Dr. Babasaheb Ambedkar Technological University, Nanded, MaharashtraKeywords: Waste Treatment, Oxidation Methods

Research Paper

50. Performance evaluation of non-hierarchical routing protocols for healthcare applications

All wireless sensor network (WSN) is a network of spatially distributed sensors that monitor physical or environmental characteristics. Wireless Body Area Network (WBAN) is a subset of WSN. WBAN is a new technology that is gaining popularity these days, WBAN devices are critical in the process of health monitoring and patient monitoring. Routing protocols will play a critical role in improving the effectiveness of communication between nodes and increasing the lifetime of a WBAN. The development and study of WBAN routing protocols has become a popular research area in recent years, particularly for medical monitoring applications. The energy-aware and high lifetime of the network are important parameters in the patient monitoring, For Health care application requires a unique routing protocol to transmit the data to their intended destination. The different non-hierarchical routing protocols like RPL, CTP presented in this context, The existing algorithms cannot fully satisfy the application requirements. In this paper energy efficient and reliable routing protocol is proposed for healthcare applications, our proposed routing protocol improves the network lifetime and reduce the energy consumption by using a weighted method, we evaluated the performance of proposed routing protocol in various routing parameter and comparing with RPL, CTP routing scheme. the Experimental results shows that proposed routing protocol performs better when compare to other two routing scheme. It is the best replacement with existing methods.

Published by: Suman Shekhar A., Dr. K. SreelakshmiResearch Area: Digital Communication Engineering

Organisation: RV College of Engineering, Bengaluru, KarnatakaKeywords: Wireless Body Area Network, Efficiency, Residual Energy, Routing Protocol, Reliability

Review Paper

51. Review paper on HMM Model for speech recognition systems

In a practical sense, speech reputation via machine has matured. Several speech-recognition algorithms are currently in use in a variety of programs, from a smartphone voice dialer to a voice response tool that costs stock values based on spoken input. One substantial development is that the software of statistical approaches, one of that is that the hidden Markov model (HMM). A speech-reputation process is generally divided into taxonomies primarily based totally on whether or not it needs to cope with particular or nonspecific talkers (speaker-based vs. speaker-impartial) and whether or not absolutely remoted utterances or fluent speech are acceptable (remoted phrase vs. related phrase). Present-day generation can also additionally effortlessly achieve near-ideal accuracy in speaker-impartial remoted-digit reputation, with the handiest 2-three percentage digit-string mistakes while the digit collection is uttered in a certain associated style with the aid of using the regular speaker.

Published by: Abha Anand B., Atul Ranjan Shipu, S. G. Raghavendra Prasad, Sharadadevi KaganurmathResearch Area: HMM

Organisation: RV College of Engineering, Bengaluru, KarnatakaKeywords: Speech Recognition System, HMM, Speaker Based, Speaker Impartial

Review Paper

52. Planning and estimation of G+1 structure of the residential building

Estimation is the scientific way of working out the approximate cost of an Engineering Project before the execution of the work. The project deals with the plan and estimation of a residential building. Since planning, drawing, estimation of any building structure by a manual method using pencil, sheets, etc. takes more time and also there is the possibility of having mistaken while calculation. With advanced technology, we can reduce the time used for drawing and calculation and also human error. The principal objective of this project is to Plan and Estimate Residential Building (G+1) structure. Microsoft Excel helped us by giving accurate measurements for estimation and AutoCAD helped us in drawing accurate measurements for the planning of the proposed building plan. With the help of Microsoft Excel and Auto CAD we successfully found the estimated area of Plot area = 252.84 m 2, Ground floor area = 124.24 m 2, First-floor area = 107.92 m 2, Total floor area = 232.16 m 2, F.S.I Permitted = 1.0, F.S.I consumed = 0.92 & let; 1.0.

Published by: Tanvi Pawar, Keshar Lawane, Garsha Gaikwad, Roshni Virwani, Sanika KandalekarResearch Area: Civil Engineer

Organisation: Vivekanand Education Society Polytechnic, Mumbai, MaharashtraKeywords: Planning, Microsoft Excel, Auto CAD, Estimate, Residential Building, Measurements, (G+1) Structure, Drawing, Calculation

Review Paper

53. A review paper on green concrete

The Concrete used is made by the use of inorganic waste is called Green Concrete. There are more eco-friendly and are used as a means to promote the sustainable development of our planet. This paper is parallel to the Possibility of the use of by-products such as fly ash, pozzocrete, used foundry sand, etc, etc., in the implementation of the program. Green concrete is formed by the partial replacement of cement and fine Aggregate by their respective switches. This paper is concerned with the effect on the compressive strength of the concrete when the cement is partially replaced with pozzocrete P60, up to 30% by weight of cement and fine aggregate is replaced with the used foundry sand is a by 10%, 25% and 50% by weight of cement. For this study, five sets of mixing ratios were prepared. This study was carried out in order to study the function of the advantages of the partial replacement of cement and fine aggregate By their country.

Published by: Dhondiram Vijaykumar Waghmare, Rushikesh Vishnu Divte, Dr. S. R. Bhagat, B. R. LagadResearch Area: Civil Engineering

Organisation: Dr. Babasaheb Ambedkar Technological University, Lonere, MaharashtraKeywords: Blast to the Plate, and the Co2-Emissions, Environmentally-Friendly Concrete, Fly Ash, Green Concrete, Silica Fume

Research Paper

54. Power backup management system

The system power after power cut drastically degrades down, at a point the entire power is dead and the system goes to sleep, due to which person sits ideal if there cause a major outage, this causes major impact for the business as the resolving of late task leads to late deliverance of project, Power Backup Management System will resolve this issue by storing the power unit and use portably at any time.

Published by: Viraj Dnyandeo UtekarResearch Area: IoT & Software

Organisation: University of Mumbai, Mumbai, MaharashtraKeywords: Degrade, Deliverance, Professionalism, Roadblock, Virtual

Research Paper

55. Crop yield prediction and alternate crop prediction using ML

Agriculture is one of the most important occupation practiced in India. It is the broadest economic sector and plays an important role in overall development of the country. About 60% of the land in India is used for agriculture in order to suffice the needs of 1.2 billion people. Thus, modernization of agriculture is very important and thus will lead the farmers our culture towards profit. The proposed method aims to provide an efficient and accurate solution for prediction of yield rate of crop and also providing alternate crop based on given conditions. So, using machine learning algorithms and techniques such as Linear Regression, Random Forest Regressor to identify the pattern among data and process it as per the input condition, the method predicts yield rate of crop and alternate crop. The proposed method takes into consideration factors like location and weather conditions to process the data.

Published by: Disha Chiplonker, Arjun A., Pruthvi M., Rakshith V. R., Sunil G. L.Research Area: Machine Learning

Organisation: Sai Vidya Institute of Technology, Rajanukunte, KarnatakaKeywords: Crop, Crop Prediction, Yield Prediction, Alternate Crop Prediction, Machine Learning, Random Forest Regression, Linear Regression

Review Paper

56. Design of MMIC phase shifter in Ku Band for Antenna Beam steering applications

The paper presents a 4-bit MMIC phase shifter at 14 GHz using eyesight available PDK in the ADS tool. The designed phase shifter has an insertion loss of 4 dB and Return loss of 18 dB with phase angles 22.5, 45, 67.5, 90-degree phase angles.

Published by: Namrata Marigoudar, Dr. K. SreelakshmiResearch Area: Radio Frequency and Microwave Engineering

Organisation: RV College of Engineering, Bengaluru, KarnatakaKeywords: Monolithic Microwave IC, Ku Band, ADS Nonlinear Demo Kit, Phase Shifter

Review Paper

57. Live Care: Virtual healthcare assistant

Within few days COVID-19 transformed our lives and made us go all virtual. Most of the essential services went virtual. However, there were some services that took time, one of them was Healthcare. To prevent the transmission of coronavirus Telemedicine emerged as a very efficient platform in connecting the doctors and patients. The Project aims at supporting the patients as well as the clinicians to bridge the gap and enjoy the service. Further the project will also have steps and tips to use the platform. Telemedicine is not a new concept; it was present before COVID-19 as well. It was more popular in the west and not much followed here.

Published by: Mansi Narwade, Vishakha Arote, Divyansh Swabhawane, Irfan Shaikh, Dr. Chaya JadhavResearch Area: Python (Web Development)

Organisation: Dr. D. Y. Patil Institute of Technology, Pune, MaharashtraKeywords: Telemedicine, Virtual, Patients, Doctor, Healthcare, COVID-19

Research Paper

58. Menu-based Penetration Testing and Vulnerability Assessment

The systems and networks run by an individual or an organization are prone to get exploited by hackers for personal gains or any other motive. The flaws or loopholes in the operating systems or operating procedures and practices may lead to a stage where once they are compromised; there is no going back beyond that point. This is a serious issue that must be rectified and safety measures must be inculcated in the operations. The systems and networks in use must be thoroughly checked for vulnerabilities to ensure protection. This is a required objective in every system and every organization. The project that we are working on is a menu-based vulnerability assessment and penetration testing tool that checks the selected system or network and tries to find the most common and most complex risks associated with the system or network. The tool is called EDITH, which stands for “Executable and Distinguished Interface to Hack”. This tool simplifies the process by allowing the authorized user to choose from the options provided. The simplicity of the tool is what makes it idiosyncratic in the field of penetration testing and risk analysis. The tool is built using advanced python modules that support kernel and terminal levels of access and operation rights. The tool provides a wide range of options to check vulnerabilities and perform penetration testing on the selected system or networks. The options are categorized into network-related tests and system-related tests. The tool is capable of performing penetration tests from a low-security system to a highly secured firewall built system. The tests performed by the tool are completely ethical and do not void any laws unless they are used for illegal purposes. This is a brief description of our project.

Published by: A. N. Anshuman, Abhinandan C., Suraj Upadhya G., Thanushree C., Kishore S. VermaResearch Area: Cyber Security

Organisation: Sai Vidya Institute of Technology, Rajanukunte, KarnatakaKeywords: Vulnerability, Penetration Testing, Analysis, Menu-Based Vulnerability Assessment

Research Paper

59. Genotypic, phenotypic, and heritability studies in groundnut (Arachis hypogaea)

A total of 36 different genotypes maintained under Goldking Research Centre were evaluated in Kharif, 2019 for some variability parameters like GCV, PCV, Heritability, and Genetic advance as percent of the mean. The statistical analysis shows that the estimates of GCV and PCV along with heritability and genetic advance were found to be high for pod yield per plant, plant height number of aerial pegs per plant, biological yield per plant 100 pod weight, and harvest index which indicate that these quantitative characters are preponderantly governed by additive genes so there is a good scope of selection for further improvement in these traits and ultimately pod yield.

Published by: Mempal Dhanyan, S. I. Kapadia, K. S. Patel, P. K. Patel, Sunil Sapavadiya, K.N. PatelResearch Area: Agriculture

Organisation: Goldking Biogene Pvt. Ltd, Ahmedabad, GujaratKeywords: Groundnut, GCV, PCV, Heritability, Genetic Advance

Research Paper

60. Automated air pollution monitoring and forecasting system using Machine Learning

Various Air Quality Monitoring systems have been recently developed and installed in some of the cities such as Mumbai, Bangalore, Delhi, Hyderabad, etc. But the actual results do not satisfy enough. Several issues in the existing system were the number of gases detected were very few. There was a need for such a system that monitors more amounts of gases in less amount of time. Time was also an issue regarding the monitoring of the gases. Some gases consumed an enormous amount of time, so it became crucial to decrease them and make a more efficient system. The proposed system is automated air pollution monitoring and forecasting system using machine learning which uses an Arduino Mega, MQ gas sensors module for its development along with some other basic components like16x2LCD, Buzzer, Potentiometer. MQ135 gas sensor detects gases like NH3, NOx, alcohol, benzene, smoke, CO2, SO2, etc. which are the main reason for degrading air quality. Wi-Fi module is used to connect our system to the Cloud so that all the readings and the data can be transferred to the desired server for forecasting purposes. A trained model is expected to use the ARIMA algorithm for the best prediction purposes. This model is then applied to the upcoming data and forecasting is done. The various existing system was learned which are developed till date, it was found that the air quality numerical model such as WRF-Chem, community Multi-scale air quality model (CMAQ), CAMx, NAQPMS was used. The drawbacks in these models were found like, Source list was not updated in time for WRF-Chem, Detailed information about the source of the pollutants, and other variables are generally not known. After knowing all the facts from the study, this system is expected to use a Scikit machine learning tool for forecasting. The proposed model monitors the upcoming data in no time and if the value goes beyond the threshold value it activates the buzzer and the server is notified.

Published by: Vinayak Pragada, Romil Keniya, Abhijeet Chauhan, Beena BallalResearch Area: Electronics and Computer

Organisation: Vidyalankar Institute of Technology, Mumbai, MaharashtraKeywords: Machine Learning, Arduino, Time Series Forecasting, Gas Sensors

Research Paper

61. Mechanical ventilation for COVID- 19 patients

The main aim of the project is to design a mechanical ventilator and connect it remotely using the Internet of things. With the advancement in technology and IoT devices, a ventilator can be operated remotely. During the COVID-19 pandemic, it is difficult for the doctors to operate a patient on the ventilator from a nearby distance. In order to safeguard our medical staff, a ventilator is designed to operate it remotely. In this system, a ventilator and IoT device/laptop/smartphone are connected to each other over the internet and can take necessary decisions. It can also have communication between each other. It is built using NodeMCU an IoT device

Published by: A. Ramesh Naik, Justin Jose, Umar Fazil M. J., R. Chaithra, P. Kiran KumarResearch Area: Eletrical

Organisation: Kuppam Engineering College, Ekarlapalle, Andhra PradeshKeywords: Blynk, LM298, NODEMCU, COVID- 19, IOT based ventilator, Respiratory Rate, Temperature Sensing, Heartbeat Sensing

Case Study

62. A Wrist drop case study

A 30-year-old man had experienced a humerus shaft fracture. Afterward, he underwent open reduction internal fixation surgery. wrist drop case study

Published by: Gourab MajiResearch Area: Medical Science

Organisation: South Dum Dum Municipal Hospital, Kolkata, West BengalKeywords: Humeral Shaft Fracture, Radial Nerve Injury, Wrist Drop

Research Paper

63. Statistical analysis of the change in accuracy of tabla players with increasing mathematical abilities

Tabla has been the principal percussion instrument in Indian classical music for decades. In this paper, accuracy will be considered as the ability to stay on beat and within the taal, while also increasing the tempo. This paper analyses the difference in the accuracy of a player’s performance based on their mathematical ability. The performances were collected from 5 tabla players with varying mathematical expertise. The performances were analyzed and based on the accuracy, statistical tools were used to compute whether a higher mathematical aptitude will lead to more accuracy.

Published by: Malank GoelResearch Area: Mathematics and Music

Organisation: Delhi Public School, R.K Puram, New Delhi, DelhiKeywords: Tabla, Instrument, Accuracy, Statistics, Standard Deviation, Maths, Mathematical Aptitude, Mathematical Operations, Fibonacci Series


64. Full crowns overrated: save the tooth, salvage the tooth structure with aid of intraoral scanner- A case report

Dentistry has evolved in the recent era whether in the technology of digital impressions or conservative restoration of endodontically treated tooth. Intraoral scanners (IOS) are devices for capturing direct optical impressions in dentistry. Optical impressions reduce patient discomfort. IOS are time-efficient and simplify clinical procedures for the dentist, eliminating plaster models and allowing better communication with the dental technician and with patients. The images of the dentogingival tissues captured by imaging sensors are processed by the scanning software, which generates point clouds. These point clouds are then triangulated by the same software, creating a 3D surface model (mesh). The 3D surface models of the dentogingival tissues are the result of the optical impression and are the ‘virtual’ alternative to traditional plaster models. Porcelain veneers have long been a popular restorative option that have evolved into a well-accepted treatment that can be fabricated in various ways. With the availability of newer high-strength materials such as lithium disilicate and processing technologies like CAD/CAM and heat pressing, dental professionals are now able to produce highly esthetic, high-strength restorations that blend seamlessly with the natural dentition while also withstanding posterior occlusal forces. This has resulted in innovative methods of providing minimally invasive dentistry. So instead of full crowns lets try to save the tooth and salvage the tooth structure. The purpose of this article is to summarize the restorations that may compete the full crowns so that they are kept into the minds of dentists when a tooth is planned to receive cuspal coverage.

Published by: Dr. Pradnya V., Dr. Seema D. Pathak, Dr. Madhuri B. Wavdhane, Dr. Lipsita PriyadarshiniResearch Area: Dentistry

Organisation: Government Dental College and Hospital, Aurangabad, MaharashtraKeywords: Occlusal Tabletops, Intraoral Scanner, CAD/CAM, Lithium Disilicate

Research Paper

65. A Survey paper on image compression technique

In this advanced world where every image is Digitized for transmission and computer processing, whether scanned from two-dimensional analog originals or captured using an image sensor-equipped device such as a digital camera, CAT scanner. This paper provides a survey about JPEG Mini- Image Compression which was developed by “BEAMR”, An imaging Technology Company that powers some of the world's top web publishers, social networks, and media companies which is led by serial entrepreneurs and technology experts, possessing an extensive experience in media compression and delivery.

Published by: Nikhil Jagan MhatreResearch Area: Information Technology

Organisation: Institute of Management and Computer Studies, Thane, MaharashtraKeywords: JPEG Mini, Lossless, BEAMR, Compression Software, JPEG Mini online

Research Paper

66. Reimagine workspace for better productivity during WFH

COVID-19 has brought a significant change in work culture, many skilled workers lost their jobs while those who could survive had to struggle inculcating cognitive & leadership skills which would make them eligible to stand still in the corporate world. Before COVID-19, workplace and rest place was different and each space was enjoyed to the fullest by the people. This segregation between the workplace and the habitable place was much needed but this pandemic coined these two places into one. This pandemic led corporate organizations to allow employees to work from home. The shift of work culture is seen during this pandemic. Social distancing and isolation are mainly observed which led employees to work remotely. Disturbances at home affected work productivity which ultimately resulted in depression and mental illness among the working-age group. Before covid-19 people had a social life, change of environment helped people stay active and have a healthy life. Sudden isolation leads people to suffer psychological disorders as a whole day is spent indoors. A habitable space where people reside plays a significant role in maintaining mental & physical well-being, which includes soothing color scheme, aesthetically appealing interiors, the amount of sunlight the comes in, etc. furthermore design of the workplace at home plays a vital role in provoking creativity and helps employees function effectively with higher productivity. This research paper aims to focus on designing a workplace at home for better productivity of an employee while emphasizing reimagining, developing, and coming up with solutions to cater to the depression and thus uplifting and boosting the creativity with the help of specific materials.

Published by: Vineet Vijay BodheResearch Area: Architecture

Organisation: MIT ADT University, Loni Kalbhor, MaharashtraKeywords: COVID-19, Work, Workplace, WFH, Social Distancing, Isolation, Depression, Transparent Cubical

Research Paper

67. Arduino based oxygen generation

An Oxygen Generator is developed to interface with Home air Conditioner that serves for Home element medical aid & it's managed by a Microcontroller that is connected to water from finish to finish that users can watch and control the entire system. Oxygen levels are to be maintained as per OSHA‐cited acceptable levels. For generating oxygen we are using the Pressure Swing Adsorption Technique with two‐bed molecular sieve columns with Elite filled inside in it which acts as a Filtering component of Nitrogen. When a hassled air is passed through the Elite it filters out Nitrogen ﴾due to its chemical nature Nitrogen molecules gets trapped inside its pores﴿ and allows the rest of the Air workings to pass through it so that we can get oxygen‐enriched air at the outlet and it is given to home

Published by: S. Ganesh, E. Manikanta, Amal Jyothi, B. Venu Reddy Kumar, Dr. V. SekharResearch Area: Electrical

Organisation: Kuppam Engineering College, Ekarlapalle, Andhra PradeshKeywords: Arduino, Oxygen Cylinder, LCD, Relay

Survey Report

68. Need for an Integrated Platform to Bridge the Gaps in Communication of Students & Faculties, at an Intra-College Level - A Survey Analysis

Being part of the scenario, we have faced and observed various challenges in the context of having a communication gap due to accessibility issues. In order to analyze the severity and minimize these gaps of accessibility in between the professional relationship of faculties and students outside the classroom, we have conducted a survey. This paper will present the review's analysis from the survey, in order to understand the need for an integrated platform. A platform that could be responsibly designed in order to shrink this void. It will conclude with the scope of an integrated platform that can be used to facilitate the needs of them both simultaneously.

Published by: Akshat Mukhriya, Deep Singh, Achintya Jaiswal, Abhishek SainiResearch Area: Online Learning

Organisation: IMS Engineering College, Ghaziabad, Uttar PradeshKeywords: Online Learning, Cognitive Presence, Online Modes of Education, ICT in Education, Competetive Competence

Research Paper

69. Solake – An innovative solution for the sustainable revival of lakes tied together with solar renewable energy generation

This project analyses how lakes and water bodies in the country, specifically in the cities, are in a state of disrepair and increasingly becoming extinct. Since lakes and water bodies have a very important role to play in maintaining the groundwater level and providing open spaces for the community, many attempts have been made to revive them, but they have not sustained because of their humongous costs to revive (build) and survive (maintain). This project attempts to provide an environmentally sustainable and economically viable approach to revive lakes and at the same time generating renewable solar energy to self-sustain its ecosystem & generating income by selling extra power produced to Govt. This project is a collaborative effort to bring together technologies and techniques from solar power plant design and implementation, revival and rejuvenation of water bodies, wastewater treatment, and groundwater recharging, and econometric modeling to establish a financially feasible self-sustaining model for the revival of lakes and urban water bodies.

Published by: Malank GoelResearch Area: Sustainability, Solar Power, Environment

Organisation: Delhi Public School, R.K Puram, New Delhi, DelhiKeywords: Lake Revival, Sustainability, Solar Power, Self-Sustaining, Waste Water Treatment, Ground Water, Surface Run-Off, Rejuvenation, Park


70. Analyzing the energy performance of a building and retrofit it into a net energy efficiency building in a warm humid climate

The economic development of a country is closely linked to its energy consumption. Currently, India is ranked 6th in total energy consumption it still needs more energy to keep the pace in control with its future development. At present changes have made to make building more energy efficient keeping the usage of buildings energy consumption in mind The main objective of this thesis is to obtain a clear understanding of the usage of building energy consumption and To study the economic benefits and advantages of an NZE office building in hot and Humid climate and reduce the carbon footprint in future where the energy demands are increasing day by day and to achieve it in a low cost. It is done through evaluating the building performance and energy usage (EUI) by modeling and stimulation by analyzing energy use index, various optimistic design solutions,s and life cycle cost. The study also deals with finding solutions that reflect current trends achieved towards making building more intelligent, self-sustained, and more sustainable.

Published by: Hamilton Shaju, Vidhya NaveenResearch Area: Construction Project Management

Organisation: M.G.R. University, Chennai, Tamil NaduKeywords: Building Performance, Sustainability, Humid Climate

Research Paper

71. Determination of Dynamic PCU values at the signalized intersection for mixed traffic conditions

Traffic conditions in India and many of the developing countries differ from the western country mainly in the composition and lane discipline. Under such conditions, vehicles widely varying in their size, accelerating abilities, and performance capabilities are to share same lanes of the road, which is highly heterogeneous in nature. Especially at signalized intersections. Hence, Passenger Car Unit (PCU) values of several vehicles do not remain static. Recent research works show that the PCU of any type of vehicle can be different at different traffic composition and volume level which points towards the importance of the concept of dynamic PCU. Different methods are used for estimation of PCU by some researchers on signalised intersection under mixed traffic conditions. Objective of the present study is to estimate dynamic PCU values of different vehicle categories at signalised intersection under mixed traffic conditions by Area Occupancy Method. Effect of traffic characteristics on the dynamic PCU value is also analysed. With the use of estimated dynamic PCU by Area occupancy method, mathematical model is developed for estimation of dynamic PCU using regression technique. From the study it was observed that with the increase in vehicle composition dynamic PCU value also increased and the increase in lane width, dynamic PCU value of two wheelers decreased. The lane width and dynamic PCU values of two wheelers is found to have a negative correlation. Mathematical model was developed for the estimation of dynamic PCU of various categories of vehicles using regression by in cooperating the effect of traffic composition and lane width and cycle time.

Published by: Safna Salam, Ayesha Shiraz, Muhammed Asifsha, Suhail A. Shahul, Shifana U. N.Research Area: Civil Engineering

Organisation: Ilahia College of Engineering and Technology, Mulavoor, KeralaKeywords: Signalized Intersection, Area Occupancy, Dynamic

Research Paper

72. Multifunctional agricultural machine

In our day-to-day life lot of traditional process have become automated because of automation of process activities are becoming more economic less labor intensive and most of all less time-consuming so, is the process in agriculture. Automation has been well integrated in various industries. In recent times agriculture an essential and traditional process has been automate which resulted in greater quality as well as quantity of crops and as quality of the product risen in a great amount so is the demand for them in modern consumers. The modern consumers demand organic products which are only possible by the use of organic crops created at farms. This demand will be ever-lasting and grow day by day as the number of consumers keeps steadily increasing because of rapidly increasing population also due to application of automation in agriculture it has brought great comfort to the farmers working on field whom have picked it up and successfully keep up it however automation of agriculture has only been picked up by big companies’ reason being they have the capital ensure the installation and smooth running of automation equipment in agriculture a normal farmer is not able to achieve such a great quality of product and compete against these big companies. If the automation process becomes at a reasonable price where a normal farmer can afford it and have a great product with consistent quality and even greater consumer demand. We are in this project using simple mechanics in order to make the cost of components cheap, affordable and easily replaceable for assembling prototype of a simple semi-automatic device at a reasonable price device for the average farmer. Using technologies such as advance technologies to do the same amount of work quicker and better.

Published by: Harsh Yadav, Siddharth Yadav, Sagar Kanadiya, Himanshu Singh, Vishal KandalgaonkarResearch Area: Mechanical Engineering

Organisation: Pravin Patil College of Diploma Engineering and Technology, Mira Bhayandar, MaharashtraKeywords: Agriculture, Farmer, Automation, Prototype, Plough, Harvest, Seed drilling, Cart, Tool

Research Paper

73. Weed detection using Machine Learning

Agriculture is one of the world's oldest sources of human nourishment. To satisfy the strain of an ever-increasing population, agricultural output must be greatly enhanced. People employed natural techniques to enhance production within the past, like utilising garbage as a fertiliser within the fields, which increased output sufficiently to fulfil the population's needs. Following this epoch, the utilization of lethal chemicals like herbicides skyrocketed. As a result, we've got made extra money while also causing greater environmental damage. the most important goal of this research is to use image processing to detect and take away weeds.So, in this project, we've created a way to decrease herbicide consumption by only spraying them where weeds are present. Using image processing, we were able to locate weeds in the site photos and classify them based on their area and aspect ratio.

Published by: Anupuri Sai Priya, Nadimpalli Lavanya, Pallavi K., G. Nithyasree, Santhosh Reddy P.Research Area: Computer Science and Engineering

Organisation: Sai Vidya Institute of Technology, Rajanukunte, KarnatakaKeywords: Weed, Image, Productivity, Agriculture, Increase

Research Paper

74. Performance evaluation of GMM super-pixel model-based technique with various bleeding detection techniques in WCE images

Wireless Capsule Endoscopy (WCE) is a non-invasive medical process that permits the assessment of the whole gastrointestinal tract that includes small intestine parts ahead of the conventional endoscope scope. This in turn needs the approach of a computer-aided scheme to assess the video frames for reducing the time of diagnosis. In this approach, the performance comparison on various existing techniques like color-based feature extraction, histogram-based approach, Discrete Wavelet Transform (DWT), K-nearest neighbor (KNN), K-means, and Support Vector Machine (SVM) techniques employed in the detection of bleeding to that of the proposed Gaussian Mixture Model (GMM) super-pixel model has been carried out. The study is carried out in terms of feature extraction models used so far and the classification approaches employed so far. Then the experimental study is carried out in terms of existing techniques and the performance is compared with GMM super-pixel feature extraction model and linear SVM to prove the effectiveness of the super-pixel-based model for bleeding detection. From the experimental analysis, the GMM super-pixel model is concluded better for automated bleeding detection.

Published by: Rathnamala S., Dr. S. JenickaResearch Area: Medical Image Processing

Organisation: Sethu Institute of Technology, Virudhunagar, Tamil NaduKeywords: Wireless Capsule Endoscopy, GMM super-pixel, linear SVM, color based feature extraction, histogram based approach, DWT, and KNN algorithm.

Research Paper

75. Comparison of readiness for the practice among Bacculerate and Diplomate Pregraduate Nurses - Are there any differences?

Nursing Education in India is undergoing a major transition in inorder to improve the standards across. Graduate Nurses' transition from educational program to clinical practice is a global concern. They often feel insecure, inadequately prepared and it’s a time of reality shock. Diplomate and Bacculerate programs are the two entry-level courses in Nursing in India. There is documented evidence on the differences between diploma and degree nurses in terms of professional competence. However, readiness for the practice among pregraduate nursing students is less explored in the Indian context. This article will reveal the differences in readiness for the practice among Bacculerate and Pregraduate nurses in the South Indian setting.

Published by: Dinesh Kumar Suganandam, Vinitha Ravindran, Vathsala SadanResearch Area: Nursing Education

Organisation: College of Nursing, Christian Medical College, Vellore, Tamil NaduKeywords: Bacculerate, Diplomate, Nursing, Readiness for practice

Research Paper

76. Calmify: Novel Way to Monitor the Mental Health using IoT

Emotional and mental health is important as it encompasses our psychological, emotional and social wellbeing. It plays a vital role in the health of our relationships, allowing us to adapt to changes in life and deal with adversity. The Covid-19 pandemic has had a major impact on our lives. Many of us are facing challenges that can be stressful, overwhelming and cause strong emotions in adults and children. One in four people in the world will be affected by mental or neurological disorders at some point in their lives. Around 450 million people currently suffer from such conditions, placing mental disorders among the leading causes of ill-health and disability worldwide. Considering this as quintessential and need of the hour, I have developed Calmify a full mental wellness Tech package to help and discover ways to take a healthy approach to your emotional wellness. It includes a mobile application along with a novel and innovative Mental Wellness Smart Glove, which will surely help people to cope with stress in a healthy way. IoT technologies have a great potential in mental health for diagnoses, treatment, and care due to the increased ability to collect real-time data indicating patterns of activity and behaviour of people. On that note, I developed Calmify as an IoT-based BioMedical Embedded System that aims to provide a mental health solution that is efficient, cost-effective, feasible, easy to use and most importantly affordable for everyone. The smart glove is a wearable device that can monitor the mental wellbeing of the patient and provide ML predictions on the onset of serious mental health issues using psychophysiological signals obtained from unobtrusive smart sensors embedded in the glove which can be carried during daily life routines of individuals. Overall, it will be helpful in providing proactive healthcare to the patients.

Published by: Harmanjot SinghResearch Area: Biomedical Engineering

Organisation: Jodhamal Public School, Jammu, Jammu and KashmirKeywords: Mental Health, Emotional Wellbeing, stress detection, mental health problems, mobile application, mental wellness smart glove, wearable device, sensors, Internet of Things (IoT), BioMedical Device, Embedded Systems, monitoring solution, machine learning, prediction, daily life psychophysiological data

Research Paper

77. Sentiment and thematic analysis on E-commerce application for user reviews using Machine Learning

Over the year's we have experienced tremendous growth in the use of ECommerce Applications. Since the pandemic, there has been an escalation in the use of these applications. Hence, we must understand the factors that are affecting the effectiveness of the services. In this paper, we will be analyzing different eCommerce applications on Google Play and App Store by performing sentiment analysis on user reviews by machine learning and then perform thematic analysis to identify the themes of reviews. Sentiment analysis is the process of identifying and categorizing opinions expressed in the text, especially when we want to determine whether the attitude of the customer concerning the services provided is positive, negative ,or neutral. Performing Sentiment analysis manually is a humongous task as there are millions of users. Hence we will be implementing different classifiers using supervised ML algorithms. These Classifiers will be trained and compared, then the classifier with the highest accuracy will be used to predict the sentiment polarity. Later on, we will be performing thematic analysis on positive and negative reviews to determine themes representing various factors affecting the effectiveness of e- commerce apps both positively and negatively. In the end, we will be proposing how to tackle the negative issues that are hampering the services

Published by: Rutuja Sanjay Mane, Aarti Sanjay Sahib, Prachi Sunil Mulay, Sumesh Santosh Mapara, Sulochana SonkambleResearch Area: Machine Learning

Organisation: JSPM Narhe Technical Campus, Pune, MaharashtraKeywords: E-Commerce, Machine Learning, Sentiment Analysis, Thematic Analysis, Applications

Survey Report

78. Medicines for underprivileged patients using android application

Gift of medication is one of the most huge commitments that an individual can make towards the general public. Drugs for health care(DFHC) framework is a mix of site application and android application made for such respectable and incredible reason. The rising innovation in android improvement has made this conceivable. The emergency clinics, patients and clients can enroll through site. Furthermore, on other hand, the android application gives an approach to searcher to look for givers were calling and informing to companions through application on android. This application can likewise be utilized by medication benefactor and searcher where individual can enlist for keen on medication gift .User can get giver area through GPS and calling to them will be available. In DFHC there will be use GPS innovation that will be utilized to follow the route to the medication giver. The client will get the course to arrive at the ideal area and he doesn't need to ask physically, in this manner time can be spared.

Published by: Vishnu R.Research Area: Mobile Application

Organisation: SNS College of Technology, Coimbatore, Tamil NaduKeywords: Drugs for health care (DFHC), Technology, Global Positioning System (GPS), and Android Application

Research Paper

79. Development of a home security Robot using Deep Learning and IoT

The major problem in every urban city is the lack of security to residential areas. The number of thefts, electricity and food wastage at homes in urban areas increase every year due to human error. As per the National Crime Records Bureau (NCRB), 2,44,119 cases of robbery, theft, and burglary took place in residential premises in 2019. Also, electricity consumption in Indian homes has tripled since 2010. In 2019, an urban Indian household consumed about 90 units (kWh) of electricity as a monthly average which is one-third of the monthly world average. To solve these issues, we have proposed an idea of a “Home Security Robot” for a smart city using AI. The Home Security Robot will help in eliminating the reliance on security guards and will effectively monitor everything in the house (if there are any gas leakage, fridge malfunctions, unnecessary electricity wastage, indoor air quality and any unknown movements inside the house). If the owner is under attack, he/she can shout out “HELP” or “SAVE ME "so that the robot can take in the voice command to automatically call the police. The navigation part is done by Arduino and Bluetooth RC Controller App. There are 2 parts (Face Detection & Recognition using Raspberry Pi and IoT system using BOLT module with sensors). The first part has three python programs used for facial detection and recognition using OpenCV with Haar Cascade Classifier and LBPH algorithm. The first program (Face Dataset) is used for collecting images of known users and storing it in a database using Haar Cascade Classifier. The second program (Face Training) is used to train the stored images using LBPH algorithm so the model can distinguish between the users whose faces are stored in database and then these trained images are stored in the trainer.yml file. The third program (Face Recognition) is used to read the trained images stored in the trainer.yml file and then uses Haar Cascade Classifier to recognize the detected face and identifies whether the face belongs to a user or an intruder. The IoT system with the help of BOLT module helps in checking the temperature in the room and checking if any unnecessary lights are on in the room. If the room temperature is outside the safe range specified or if any lights are on, owner will get an alert via SMS.

Published by: Shravan Aruljothi, Sharad Dewanand Parate, Harshit S., Nehal Dinesh AndaniResearch Area: Mechanical Engineering

Organisation: New Horizon College of Engineering, Bengaluru, KarnatakaKeywords: IoT, Deep Learning, Raspberry Pi, BOLT, OpenCV, Haar Cascade Classifier, Viola-Jones Algorithm, LBPH Algorithm

Research Paper

80. Social Cause Marketing (Pink Capitalism) and its impact on consumers’ brand preferences

As its name implies, cause-based marketing is the process of marketing a specific idea, cause, or goal, rather than a specific business, product, or service. These initiatives are often partnerships between a nonprofit organization – typically the driving force behind the” “messaging of the campaign itself – and either an ad agency or corporate partner, which typically handles the execution of the campaign. Although cause-based marketing campaigns can focus predominantly on PPC or social advertising, these campaigns can and often do incorporate” elements of guerilla marketing in their execution. Trying to grab people’s attention is no easy feat these days, and as such many organizations adopt more creative ways of getting their message out, as we’ll see later on. Many cause-based marketing campaigns are organic offshoots of grassroots marketing efforts, which also tend to focus on causes. This paper will discuss thoroughly cause-related marketing through the lenses of Pink Capitalism. It will also discuss how pink capitalism is not entirely an ethically incorrect concept and focus on the silver lining of the same, which would benefit both the NGO as well as the corporations.

Published by: Saniya SavantResearch Area: Marketing

Organisation: SVKM NMIMS School of Law, Navi Mumbai, MaharashtraKeywords: Cause-Related Marketing, Campaign, NGO, Corporations, Pink Capitalism

Research Paper

81. Helping business owners to find potential competitors

Opening a business in any place is not an easy task as it needs lots of things to be considered. One should consider its competitors before opening a business. This project is one attempt to help those business people to find their competitors. In this project, a taco palace is planned to open in the city of Monterrey, Mexico. Here the attempt is to find a neighborhood with not too many competitors with enough customers. To find the neighborhood, considering the latitude and longitude values of the city of Monterrey, Mexico, and can be able to locate the best place to open the restaurant. In this project Foursquare API is used to explore the neighborhoods and get the most common restaurants near that place and using this function clusters can be grouped. For clustering, a K-means clustering algorithm is used. Clusters are used to know the similar business in that areas. Clusters group the similar business and list out all its names. To visualize the neighborhoods Folium library is used.

Published by: Suraksha S. S., Darunya B. C., Priya D., Anisha B. S.Research Area: Deep Learning

Organisation: RV College of Engineering, Bengaluru, KarnatakaKeywords: K-Means Clustering, Folium Library, Foursquare API.

Research Paper

82. Size-specific variation in the rate of oxygen consumption, ammonia excretion, and O: N ratio of freshwater bivalve lamellicorns marginalis during the season of monsoon

Malacology means the study of molluscan animals and also conchology means the study of the molluscan shell. Body mass is one of the best known and most studied characteristics of aquatic animals on scaling of metabolic rates. We studied here how size-specific variation in the rate of oxygen consumption, ammonia excretion, and O: N ratio in Freshwater Bivalve Mollusc Lamellidens marginalis species in an attempt to know how size-specific variation affects their metabolism. The freshwater bivalve molluscs were chosen for experimental work from Bhima River at Siddhatek in August and September for the period of monsoon season with body size i.e. small (75-79 mm in shell-length) and large (90-93 mm in shell-length). In current work reported that the rate of oxygen consumption and O: N ratio was high in the small body-sized bivalve mollusc but the rate of ammonia excretion was low in small body-sized bivalves compared to large ones. The results are discussed in the flush of metabolic processes in fresh-water bivalve molluscs.

Published by: Pritesh Ramanlal GugaleResearch Area: Physiology

Organisation: Rayat Shikshan Sanstha's Balwant College, Vita, MaharashtraKeywords: Size Specific, Variation, Oxygen Consumption, Ammonia Excretion, O: N Ratio, and Monsoon

Research Paper

83. AI-based chatbots for providing health-related information

Chatbots in the health care systems may have the potential to provide patients with access to immediate medical information. Health care chatbots can help patients better manage their own health; improve access and timeliness to care. Al-based Chatbots for supplying health-related information. The System uses artificial intelligence which includes advanced Natural language processing to answer the query Tf-IDF weighting. The User can query any health-related activities through the system. The user does not have to personally go to the health for an inquiry. The software analyses the questions and then answers the user. The software answers the queries as if it is questioned by a person. The software answers using a Graphical user interface which implies that as if a pupil is talking to the user. The user has to register himself to the software and has to log in. After login user can access the bot. A chatbot is a program that communicates with people.

Published by: Dungi Pravalika Reddy, Dadala Shantha Shekinah, Gunisetty Pavani Suvarna Satya, Kolla Hasitha Naidu, Dr. K. SoumyaResearch Area: Artificial Intelligence

Organisation: Andhra University College of Engineering for Women, Visakhapatnam , Andhra PradeshKeywords: Chatbots, AI, Graphical User Interface

Research Paper

84. City cleanliness using geo-tagged images with experimental results

During the process of smart city construction, city planners and managers always spend a lot of energy and money for cleaning street garbage due to the random appearances of street garbage. Consequently, visual street cleanliness assessment is particularly important. However, the existing assessment approaches have some clear disadvantages, such as the collection of street garbage information is not automated and street cleanliness information is not real-time. To address these disadvantages, this paper proposes a novel urban street cleanliness assessment approach using mobile edge computing and deep learning. First, the high resolution cameras installed on vehicles collect the street images. Mobile edge servers are used to store and extract street image information temporarily. Second, these processed street data is transmitted to the cloud data centre for analysis through city networks. At the same time, Faster Region-Convolutional Neural Network (Faster R-CNN) is used to identify the street garbage categories and count the number of garbage. Finally, the results are incorporated into the street cleanliness calculation framework to ultimately visualize the street cleanliness levels, which provides convenience for city managers to arrange clean-up personnel effectively. Index Terms— Smart cities, street cleaning, garbage detection, deep learning, mobile edge computing.

Published by: Krishna Sonawane, Prachi Pingle, Siddhant Lunawat, Trupti Zagade, Dr. Meenakshi ThalorResearch Area: Waste Management

Organisation: AISSMS Institute of Information Technology, Pune, MaharashtraKeywords: Smart Cities, Street Cleaning, Garbage Detection, Deep Learning, Mobile Edge Computing

Research Paper

85. Algorithmic Trading with Deep Learning

In this paper, Artificial Neural Network (ANN) is used to predict trading signals like Strong Buy, Buy, Neutral, Strong Sell and Sell a total of 5 signals. The ANN outputs one of the trading signals based on the market data of cryptocurrencies. The ANN makes use of the candle-stick data along with additional data like Volume, Number of Trades, etc and technical indicators to predict the signals. The ANN is trained on multiple intervals of the market, i.e. 1 minute, 3 minutes, 5 minutes and so on up to 3 days in the intervals. Along with the market data, the paper also makes use of the news articles to better predict the trading signals, this is only used when the ANN predicts the Buy or Sell, and by using the news articles those Buy and Sell signals are converted to Strong Buy and Strong Sell respectively. The ANN was trained on 3 years of data, and Google’s BERT [1] model was trained on almost 1000 news article’s titles on topics related to cryptocurrencies and the model outputs whether it’s a positive or negative title. The accuracy of the ANN models for all the markets is in the range of 85 - 90% and the same accuracy is observed with the BERT model which is trained on the news article’s title.

Published by: Mayank Anuragi, Rakshit Ramnath Naik, Manoj Galanki, Kavitha S. PatilResearch Area: Computer Science

Organisation: Atria Institute of Technology, Bengaluru, KarnatakaKeywords: Algorithmic Trading, Artificial Neural Network, Google BERT, Cryptocurrency Market

Research Paper

86. Reducing crude protein level in commercial layer chicken feed by balancing digestible amino acids

A total of 10 commercial layer farms in the stage of phase-I laying period (25 to 40 weeks) reared in raised platform caged house with uniform management wereselected for the experiment. In each farm, 4000 birds will be selected and divided into two treatment groups of 2000 birds each. The feed formulation with reduced crude protein level (15 per cent) compared to standard level of 17 per cent will be formulated by balancing the digestible amino acids (Lysine, methionine+cysteine, threonine, tryptophan, arginine, isoleucine and valine). Feed ingredients used in feed formulation were maize, cumbu, broken rice, soya bean meal, sun flower cake, deoiled ricebran, rapeseed meal, fish meal,etc. Based on the above study it could be concluded that crude protein reduction is one of the way to reduce feed cost in commercial layer chickens, but should be properly balanced with all the essential digestible amino acids rather than total amino acids basis. But the quality of feed ingredients, loss in body weight and egg weight is the area of concern.

Published by: Sakthivel D., Mani K., Kannan D., Vasanthakumar P.Research Area: Poultry Nutrition

Organisation: Veterinary College and Research Institute, Namakkal, Tamil NaduKeywords: Crude protein, Commercial layers, Chicken, Digestible aminoacids

Research Paper

87. Traffic rule violation detection and reporting system

The increasing number of vehicles in cities can cause high volumes of traffic, and implies that traffic violations become more critical nowadays in India and also around the world. This causes severe destruction of property and more accidents that may endanger the lives of the people. To solve the alarming problem and prevent such unfathomable consequences, traffic violation detection systems are needed. For which the system enforces proper traffic regulations at all times, and apprehends those who do not comply

Published by: B. G. Vinayak, Rakesh M. R., Santosh Reddy P.Research Area: Machine Learning

Organisation: Sai Vidya Institute of Technology, Bengaluru, KarnatakaKeywords: Traffic violation, Tensorflow, OpenCV, OpenALPR API

Research Paper

88. Impact of COVID-19 Lockdown on Air Pollution and Air Quality Index (AQI) in India

From the start of industrialization, air pollution in India and around the globe started increasing with new pollutants coming into existence. The extent of air pollution has also increased in the last few decades, very rapidly affecting human health and the earth's ecosystem badly. During pandemics like it happened in other countries, the same way, in India also government-imposed lockdown that resulted in the termination of all economic activities. The pandemic and imposed lockdown provided improved air quality as a gift to mankind. This duration also shows insight into the relationship between the economy and good air quality. We also get some insight into how to improve air quality without affecting the basic needs of society. This paper aims to examine the variation of the concentration of 5 main contaminants (PM2.5, PM10, NO2, CO and Ozone) before and after the lockdown imposed in 5 major Indian cities. After reading this paper, we get an insight into to what extent we can reduce air pollution by imposing lockdown and how the socio-economic, geographical variance across cities decides the extent of reduction in air pollution. We also get direction for future management strategies and policies to regain economic strength with sustainable improvements. So at the moment, we have to focus on both air pollution management and economic recovery. This study provides insight into the air quality index across the geographical variation of India.

Published by: Ankit KumarResearch Area: Environmental Engineering

Organisation: Indian Institute of Technology, New Delhi, DelhiKeywords: Impact of COVID-19, Lockdown, Air Pollution, Aqi, India, Cities

Research Paper

89. Face recognition based attendance monitoring system

This project is to construct a face recognition-based attendance monitoring system for various educational institutions for taking attendance of students accurately. Previously attendance was taken manually where the professor/ teacher used to record attendance of students in log registers. This process is time-consuming and hectic. The professor/teacher might miss marking the attendance for few students or an illegal third party might manipulate the log register. The accuracy and security were at stake always. Then there was a new attendance system using fingerprints. This system might be accurate but there is a chance of stealing fingerprints from the biometric device for malicious activities. In this project, we use the face which is the most important part of our body. The facial features of individuals are recognized and analyzed for taking attendance. In this project, we use one of the most popular programming languages Python, and its library called OpenCV which is used to capture live images and videos. The face images and details like registration number and name of the student will be saved in files and attendance notes can be seen in Excel Spreadsheet. The image detection and processing are done using the LBPH algorithm which is known for its simple yet efficient performance.

Published by: Keerthi Sree Ganne, B. Prajna, Golagani Naga Kalyani, G. Neha Gagana, Gurugubelli RajaniResearch Area: Deep Learning

Organisation: Andhra University College of Engineering for Women, Visakhapatnam, Andhra PradeshKeywords: Deep Learning, Face Recognition Based Attendance, Opencv, Face Detection, Lbph Algorithm, Image Classifier, Spreadsheet, Camera

Review Paper

90. Planning and designing of G+1 structure of the residential building

The primary objective of this project is to gain sufficient knowledge in the planning and design of buildings. Our project deals with the planning and design of a residential building. Planning of structure was done in Auto cadd software and design of structural components like slab, beam, column, footing, staircase, etc was done by Stadd Pro software. It is a reinforced concrete framed structure consisting of G+1.IS 456:2000 codes are the basic code for general construction in concrete structures, hence all the structural members are designed using the limit state method in accordance with the IS 456:2000 code and design aids. With the help of Microsoft Excel and AutoCAD we successfully found the estimated area of Plot area = 193.97sq.m, Ground floor area = 105.02 sq.m, First floor area = 105.02 sq.m,F.S.I Permitted = 1.0 .

Published by: Harshada Satish Pansare, Shivani Kirdat, Sweta Gathe, Esha Palsmabkar, Fatema TrawadiResearch Area: Civil Engineering

Organisation: Vivekanand Education Society's Polytechnic College, Mumbai, MaharashtraKeywords: Staad Pro, Residential Building, Autocad, Microsoft Excel, G+1 Structure. IS Code 456:2000, Limit State Method

Technical Notes

91. Teacher’s learning on ICT platforms during Pandemic: Relevance for teacher education with special focus on Zoom, YouTube

There is a rise in the importance of teacher’s learning on ICT platforms during times of pandemics. However, there are some important issues to be addressed to make this learning more progress-oriented. In this context, the focus should be on the technical awareness of teachers, the usefulness of the ICT platforms, and the methodology adopted to put the platform to appropriate and productive use. The paper focuses on the relevance of ICT platforms for Teacher Education with a special mention of Zoom and YouTube.

Published by: Lalitha Devi B., Madhumathi P.Research Area: Online Teacher Education

Organisation: National Institute of Technology, Warangal, TelanganaKeywords: Open Learning, ICT Platforms, Teacher Education, Zoom, Youtube, Webinars, Workshops

Review Paper

92. Review on chalcone (preparation, synthesis of pirazolines ring and biological screening based on chalcones and derivation into pirazolines)

Pyrazolines are well-known and important nitrogen-containing 5-membered heterocyclic compounds. Pyrazolines are known to exhibit different biological and pharmacological properties such as anticancer, antibacterial, antifungal, and ant tubercular activities. Chalcones with an enone group between two aromatic rings exhibit remarkable pharmacological activities such as anti-inflammatory, antibacterial, antitumor, antifungal activity.

Published by: Milind Chhaburao NagareResearch Area: Chemistry

Organisation: M.S.G. College, Malegaon, MaharashtraKeywords: Chalcone, Synthesis Methods, Pirazolines, Biological Activity

Research Paper

93. Smart system for student placement prediction

Its goal is to develop college-level forecasting automation, predict the chances of students being placed in information technology companies, and help screen candidates before the hiring process begins. lt involves using machine learning algorithms as a basic model to classify students into appropriate groups, so the results will help them improve their skills and other ways of thinking. The same results are also compared with the results obtained from other models such as logistic regression, random forest, and SVM to obtain the optimal and so on. Placements are considered to be very important for each and every college. The main objective of this model is to predict whether the student gets placed or not in campus recruitment. A high placement rate is a key entity for any educational institution. Hence such a system has a significant place in the educational system of any learning institution.

Published by: Kavya G., Pranitha Y., Sanjana A., Sirisha D. G., Mamatha A.Research Area: Machine Learning

Organisation: Sai Vidya Institute of Technology, Rajanukunte, KarnatakaKeywords: Classification, Machine Learning, Automation, Logistic Regression, Student Placement

Research Paper

94. Change Management & the Concept of Common Data Environment in Indian Construction Industry

Construction industry is that industry in which many spontaneous decisions are taken due to various reasons inadequate information, personal assumptions and the experience of the construction professionals. Project changes and/or adjustments are inevitable as they are a fact-of-life at all stages of a project’s life cycle. Managing changes effectively is crucial to the success of a construction project. There’s a need of the hour that Construction industry needs an Integrated solutions to manage these changes and a systematic change management system to discipline and coordinate the process, for example, documentation, drawing, process, flow, information, cost, schedule and personnel. This research presents an integrated solution by use of OpenKM software. The methodology used will be using OpenKM in the existing construction process and making a more feasible and easy to use interface to counteract the Obstacle due to change management on daily basis and make Time/Cost optimization respectively.

Published by: Khan Waqar Ahmed Imtiyaz, Dr. Sumedh MhaskeResearch Area: Civil Engineering

Organisation: Veermata Jijabai Technological Institute, Mumbai, MaharashtraKeywords: Construction Industry, project changes, change management, OpenKM.

Research Paper

95. Seismic retrofitting and collapse evaluation of irregular bridge with non-linear effects

Performance of bridges with elastic pad bearing is weak in earthquakes. On 2004 Sumatra earth quake Chengappa bridge in Andaman suffered from the dislocation of bridge. This study examine the structural performance of Chengappa bridge with and without dampers. In first model examine the seismic effect of linear bridge with and without damper. In second model seismic effect of double curved bridge is examined with and without damper. Finite element models were developed, time history analysis and dynamic analysis performed using ANSYS to assess the structural performance of these bridge. The dimensions of the bridge used for the analysis taken same as the chengappa bridge for both linear and non-linear effects. Structure were analysed under GM3 earthquake loading. Time period, deck displacement, base shear and acceleration investigated

Published by: Firoz P. Andhru, Remya RajuResearch Area: Structural Engineering

Organisation: Ilahia College of Engineering and Technology, Mulavoor, KeralaKeywords: Linear and Non-Linear, Time History Analysis, Dynamic Analysis, Finite Element Model, Ground Motion3.

Research Paper

96. Clinical evaluation of Standard Q Rapid Ag TEST vs RT PCR

The Pandemic COVID-19 poses the major problem in diagnosing which requires skilled technicians and well-equipped infrastructure. To overcome we have evaluated the Standard Q rapid Ag test for SARS-CoV-2 virus from nasal swab at POC sites which was eventually compared with RT PCR as reference assay. A maximum of 505 samples were collected from the patients who visit hospitals and laboratories for different purposes with appropriate consent form. It is found to be that rapid Ag test shows good sensitivity, specificity and predictive value range with RT PCR and it will be also useful in swarm screening and in emergency conditions.

Published by: Dr. Manjubhashini, Soundaravalli V., Santhiya S., Vidyapoornam N.Research Area: Molecular Biology

Organisation: Rao's Path Lab, Salem, Tamil NaduKeywords: Rapid Antigen Test, SARS-CoV-2, RT-PCR

Review Paper

97. Review paper on improving COVID-19 vaccine distribution in India

With the stark rise in the outbreak of COVID-19 in numerous countries, India, amongst other nations, too is considerably affected by it also it has shaken the global health system and economy by their roots. The virus is still spreading and there are no signs of decreasing the trend. Vaccination is the only effective and important means which could control this situation. Several research institutions and pharmaceutical companies have plunged into the race of vaccine development against COVID‐19 and currently, it is being distributed among normal people. Logistics and supply chain for distribution of vaccine in a country like India where the population is way too much is the challenge. The deployment of COVID-19 vaccines is kind of a challenge because of transportation and storage. Temperature data is an important source of knowledge that can be recorded from different data sources such as sensors. The study focuses on predictive maintenance to manage the vaccine distribution while transporting. Also, it focuses on post-vaccine symptoms data which can be used for improving the vaccine.

Published by: Siddharth Padhiar, Juhi Patel, Gaurav BhattadResearch Area: Big Data

Organisation: NMIMS Deemed-to-be-University, Mumbai, MaharashtraKeywords: Covid-19, Pandemic, Supply chain, Logistic, Big Data Technology, Forecasting

Research Paper

98. Remote control tool to test the interfaces of IoT hub

The proposed Remote-Control service tool allows remote connection of the medical devices with the IoT hub software. The hub provides proactive services to the associate devices and these devices are connected to the hub via the proposed tool. The tool realizes the features offered by the hub and is capable of performing registration of the associate devices via unique identification numbers such as the serial number and material number, or the system identifier along with attribute update feature. The tool is deployed via the CICD pipeline using Azure DevOps. The functional correctness of the code and its comprehensive analysis are done by unit testing and generation of code coverage report respectively.

Published by: Shreevidya S., Nagaraju P., Manoj Kumar PodhaResearch Area: IoT

Organisation: RV College of Engineering, Bengaluru, KarnatakaKeywords: Angular, Azure DevOps, Code Coverage, Electron, Jasmine, Registration, Simulator


99. Enhanced Security implementation in IoT

This research paper is about implementing security protocols in IoT. IoT devices are tremendously getting popularity and are in used frequently by users. Security is more critical in IoT. Here we are using a privacy mechanism approach is Attribute-Based Encryption (ABE). A public-key encryption approach that enables smooth access control, scalable key management, and flexible data distribution. We concern with two types of ABE, B Key-Policy Attribute-Based Encryption (KP-ABE) and Ciphertext-Policy Attribute-Based Encryption (CP-ABE) are the best for secured use of IoT. The main focus of this implementation is to applying security to the pub-sub architecture using KP-ABE. KP-ABE mechanism. We are implementing AES cryptography on the payload. By use of cipher key to generate dynamic S-Box which is changing with every changing of the cipher key. That results in cryptographic strength.

Published by: Punam Mahendra LokhandeResearch Area: IoT

Organisation: Alamuri Ratnamala Institute of Engineering and Technology (ARMIET), Thane, MaharashtraKeywords: IoT, Attribute-Based Encryption (ABE), Cryptography, Pub-Sub Architecture Dynamic S-Box

Review Paper

100. Phishing website detection using Machine Learning

Today internet or websites plays a major role in every person's life. Almost Every sector using the website services like the banking sector using some apps for payment, the passport sector is using for registration and renewal of passport, the government sector for application of PAN cards, adhar cards, etc. This makes human life simpler. But this provides an opportunity to make phishing websites. Phishing websites are the same as legitimate or real websites. The purpose of the phishers is to steal their personal information, account ID, Passwords from individuals and organizations. They even add some tricks by asking security questions like a pet name, city name to gain users' trust. Although legitimate and phishing looks like same there are some features that make difference between that two things. That features such as IP address, URL length, having @ symbol, double slash redirection, Prefix, and suffix, having subdomain, domain registration link, HTTPS tokens, Request URL, URL of anchor, disabling right-click, using a pop-up window, and some more. Already many approaches are proposed for detecting phishing websites machine learning is the most appropriate one. This is because there are some common features that can be identified by machine learning. In this paper, we used a random forest algorithm to detect phishing websites based on features that make difference between both of the websites.

Published by: R. Dhatri, N. Shafiyabi, U. Nithish, P. Vamsi, K. Subrahmanya KousikResearch Area: Information Technology

Organisation: Gudlavalleru Engineering College, Gudlavalleru, Andhra PradeshKeywords: Phishing Websites, Random Forest, Machine Learning, Numpy, Pandas

Research Paper

101. Effect of COVID-19 on consumer behavior in the corporate sector

The coronavirus pandemic has made the longest lockdown ever in the world in history. This pandemic has affected all the human health, food chains, international businesses, companies, global economy as well as it impacts on the behaviour of the consumers. As all the offline stores were closed during the lockdown, a large number of consumers are using online stores to fulfil their needs. In that pandemic situation, purchasing of most products from online stores increased about 6-10% in all over the world. Therefore, the pandemic has increased the use of digital platforms and consumer behaviour has a large impact of covid19. Consumer behaviour helps the marketers to gain knowledge about the expectations of the customers and it makes successful business as the organization provides products according to the customers’ needs. Therefore, consumer behaviour led to an impact of making successful business.

Published by: Priya Nair, Anirrban Ghosh, Sanjay RaoResearch Area: Consumer Behaviour

Organisation: Narsee Monjee Institute of Management Studies, Mumbai, MaharashtraKeywords: Consumer Behaviour, Corporate Houses, Customer, Economic Crisis, Consumption, Buying Behaviour, COVID-19, Brands, Online Stores

Review Paper

102. Glycerol – An alternate energy source for livestock feeding

Glycerol, is being an attractive feed ingredient for cattle, is a by-product of a wide range of industrial applications. Glycerol has potential value in livestock feeding since it improves feed efficiency, metabolism, and can avoid ketosis. Research indicates that glycerol can be a suitable partial grain replacement in the diet of cows during the transition period and at early lactation. The impact on milk yield is not significant, but glycerol mostly decreases milk fat content. The inclusion of glycerol in the dairy ration has an effect on ruminal fermentation patterns. Glycerol is rapidly fermented in the rumen into propionate, and it is metabolized to glucose in the liver through the process of glycogenolysis, additionally, glycerol administration to ruminants can reduce greenhouse gas emissions. The purpose of this review is to highlight the potential benefits and drawbacks related to the use of glycerol in cattle. Glycerol, from biodiesel Industries, must be purified in order to make it a useful product for livestock feeding. The use of glycerol in ruminant nutrition can be justified for several reasons: (i) as a source of energy, (ii) as a glycogenic precursor, and (iii) it may have an effect on milk composition. The high energy value of glycerol provides the opportunity to use it as a partial substitute for grain in dairy rations. Supplementation of glycerol in dairy animals' diets is associated with increased propionate, butyrate, valerate, and isovalerate concentrations in the rumen. Glycerol can be used as 10%–15% of the dietary dry matter (DM) and is a well-established tool for treatment for ketosis in cows. Glycerol increases plasma glucose and may reduce non-esterified fatty acids and hydroxybutyrate levels. The dietary supplementation of glycerol does not have a direct effect on DM intake, milk yield, or milk composition. However, some researchers reported an increase in milk yield after glycerol supplementation associated with decreased milk fat concentration. It is also possible that the concentration in the milk of odd-chain fatty acids and cis-9, trans-11 conjugated linoleic acid may increase after glycerol application.

Published by: Mukesh Sharma, Dr. Manoj Gendley, Dr. Kranti SharmaResearch Area: Animal Nutrition

Organisation: Dau Shree Vasudev Chandrakar Kamdhenu University, Durg, ChhattisgarhKeywords: Dairy Cows, Glycerol, Metabolism, Ketosis, Rumen Microorganism

Research Paper

103. Antimicrobial textiles based on nanosilver

In recent years, Antimicrobial textiles have been an area of great research due to many of their desired properties like reducing infection transmission in the medical environment, enhanced performance, and improving odor control. Their basic feature is to protect the fabric from rotting caused by microbes. Antimicrobial textiles fulfill functions such as preventing cross-infection, arresting microbial metabolism, and protecting the textile from staining, discoloration, and quality deterioration.

Published by: Meenal SinghResearch Area: Nanotechnology

Organisation: Indian Institute of Technology, DelhiKeywords: Rot Proofing, Nanosilver, Antimicrobial, UV-Transmittance, Hydrophobicity, Microencapsulation

Research Paper

104. Stock Sentiment Analysis using News Headlines

Efficient Market Hypothesis is the popular theory about stock prediction. With its failure much research has been carried in the area of prediction of stocks. This project is about taking non quantifiable data such as financial news articles about a company and predicting its future stock trend with news sentiment classification. Assuming that news articles have impact on stock market, this is an attempt to study relation between news and stock trend. To show this, we created three different classification models which depict polarity of news articles being positive or negative.

Published by: Tavva Sai Prathyusha, Thummapala Mounika, Vemaraju Siri chandana, Vysyaraju priyanka, Seepana PriyankaResearch Area: Machine Learning

Organisation: Andhra University College of Engineering for Women, Visakhapatnam, Andhra PradeshKeywords: Sentiment analysis, TF-IDF, Bag-of-words, Random forest, Multinomial Naïve Bayes, Passive-Aggressive Classifier

Research Paper

105. Prediction of chronic kidney disease and diet recommendation

Chronic renal disorder is that the sort of disease within which there's a decrease in kidney function over a period of months or years. Early prediction of CKD is one in all the main problem in medical fields. So automated. tools which use. machine learning techniques determine the patient’s kidney condition which will be helpful to the doctors in prediction of disease.. Our system retrieves the features which are significantly affects the human with CKD, and so the ML technique which automates the classification of the disease into different stages. Our main goal is to predict the disease stage and suggest suitable diet for CKD patients using classification algorithms on medical test records. Diet recommendations for patients are going to be given per the potassium zone which is calculated using blood potassium level to weigh down the progression of CKD.

Published by: Annapoorna B. A., Nisarga Y. N., Rachana R. Shastry, Sreelatha P. K.Research Area: Computer Science

Organisation: Sai Vidya Institute of Technology, Bangalore, KarnatakaKeywords: Chronic Kidney Disease, Glomerular Filtration Rate, Naïve Bayes, Decision Tree, Random Forest, K-Nearest Neighbors Classifier

Research Paper

106. A study on effect of emotional attitude on emotional purchase intention

The study emphasis on emotional attitude and emotional purchase intention, where the study focused on six major items under Emotional Attitude and Emotional purchase Intention. The main purpose of the study is to find the direct effect of Emotional Attitude on Emotional Purchase Intention. It also emphasizes how these impacts the customer’s attitude regarding age, gender, and qualification. This study is applicable in terms of objective and various hypotheses are implemented. To collect the data self-administered questionnaire was designed and the data is collected from the region of Hyderabad, Using a convenient sample of 97 respondents. The data is analyzed with assorted methods like frequency calculation and the Chi-squared test. It was found that gender, age, and education qualification had a very significant role to play. Amos was used to finding the direct effect of Emotional Attitude on Emotional Purchase Intention.

Published by: Namratha, P. Purushotham Rao, Dr. A. PatrickResearch Area: Marketing

Organisation: Osmania University, Hyderabad, TelanganaKeywords: Emotion, Emotional Attitude, Emotional Purchase Intention, Customer’s Attitude

Research Paper

107. Fetal birth weight estimation in high-risk pregnancies through Machine Learning Techniques

Low birth weight of the fetus is considered one of the most critical problems in pregnancy care, which will affect the health of the newborn and in more severe cases will lead to its death. This situation is the reason for the high infant mortality rate throughout the world. In terms of health, artificial intelligence technologies, especially those based on machine learning (ML), can early predict problems related to the health of the fetus throughout pregnancy (even at birth). Therefore, the project proposes an analysis of several ML techniques that can predict whether the fetus will lose weight at birth in its gestational age. The importance of early diagnosis of problems related to fetal development depends on the possibility of increasing the number of days of pregnancy through timely intervention. This intervention will help to improve the weight of the fetus at birth, thus reducing neonatal morbidity and mortality.

Published by: Meghana S., Y. Sree Rushitha, Susan Syeda, Priyanka M., Dr. Shantakumar B. PatilResearch Area: Machine Learning

Organisation: Sai Vidya Institute of Technology, Bangalore, KarnatakaKeywords: Fetal birth weight estimation, Machine learning, linear regression, Random forest Regressor, XGB regression

Research Paper

108. A study on Quality of Life in Indian adults – Outcomes and role of nutrition

Understanding factors influencing the Quality of Life (QoL) of people has been a subject of growing interest, as measurement of QoL includes subjective dimensions of general well-being of individuals. The present study is aimed at assessing the QoL as perceived by Indian adults and arriving at a cutoff for categorizing QoL. A cross-sectional survey was conducted on a stratified sample of 2762 adults in 8 cities representing 4 geographical zones of India - North, South, East and West. WHOQoL-BREF was self-administered to measure QoL while a structured questionnaire and an app-based 24-hr diet recall were used to assess perceptions and practices about health and nutrition that affect QoL. The QoL scores were computed in accordance with WHO manual and cutoff value was arrived based on percentage mean score to categorize respondents as having poor and good QoL. Descriptive statistics were reported as mean, standard deviation, percentage for the scores and other variables, while a two-sample t-test was performed to compare the QoL scores for independent variables. The QoL percentage mean score of 68.5 for the sample population was obtained which was considered as a cutoff for categorizing QoL. It was observed that nearly half of the respondents (46.2%) had poor QoL. Men had a better QoL score than women while older adults had lower scores than younger adults (P<0.01). Being employed and higher socio-economic status positively impacted the QoL. From the 8 cities, Mumbai had the highest percentage of respondents with good QoL. Almost all respondents agreed that nutrition plays an important role in having good QoL, however, protein and micronutrient intake showed a huge gap. In conclusion, QoL assessment could be an important tool towards holistic approach to health and can assist individuals and healthcare professionals to take impactful steps towards improving QoL of the population.

Published by: Dr. Madhavi Marathe, Dr. Pushkala PadmanabhResearch Area: Science

Organisation: Danone India (Nutricia International Private Limited), Mumbai, MaharashtraKeywords: Quality of Life; Indian population; Nutrition; Protein; Physical health; Healthcare; Awareness; WHOQoL-BREF

Research Paper

109. Recognition of Handwritten digits using Machine Learning and Deep Learning algorithms

Digitalization has become very prominent in today’s world. The need for storing information in computers is rapidly increasing. Converting handwritten documents into digital form by humans is often difficult and time-consuming. With the rapid development of technology, human’s reliance on machines to do time-consuming and monotonic tasks also greatly increased. Machine learning and deep learning are the major fields in Computer Science that have developed intelligent algorithms to train machines to do a set of repetitive tasks. Handwritten digit recognition is one of the significant areas of research and development with an increasingly large number of possibilities that could be attained. Handwritten Digit Recognition is the ability of a computer to receive and interpret handwritten input from various sources such as paper documents, photographs, touch screens, and other devices. This paper illustrates handwritten digit recognition with the help of MNIST datasets using Support Vector Machines (SVM) and Convolution Neural Network (CNN) models. The main objective of this paper is to compare the accuracy of the models stated above and develop a Graphical User Interface (GUI) application with the most accurate model.

Published by: Sahithi Akundi, B. Prajna, Bathina Lakshmi Rishitha, Balaka Supraja, Arugula GayathriResearch Area: Machine Learning, Deep Learning

Organisation: Andhra University College of Engineering for Women, Visakhapatnam, Andhra PradeshKeywords: Digitalization, Deep Learning, Machine Learning, Handwritten Digit Recognition, MNIST, Convolution Neural Networks, Support Vector Machine

Research Paper

110. Association of social networking addiction and anorexia nervosa (desire for thinness)

The present research was conducted to study the association between Social Networking addiction and Anorexia Nervosa( desire for thinness) among adolescents. A sample of 913 junior college students were selected as a sample for the present study.The findings suggest that there is no significant association between Social networking addiction and Anorexia nervosa.

Published by: Dr. Khan Zeenat MuzaffarResearch Area: Educational Psychology

Organisation: Marathwada College of Education, Aurangabad, MaharashtraKeywords: Social Networking Addiction Level, Anorexia Nervosa

Survey Report

111. Analysis of business process automation: RPA

This research is a study to explore the features available in the leading RPA software for business. Robotic process automation (RPA) is a leading software technology that helps in building, deploying, and managing software robots that surpass human actions interacting with digital system. The software bot can perform task as of human do like identifying what’s there on the screen, extracting & identifying data, navigating system etc. But RPA robots are more consistent than human. The main highlights of this study discussed the Pros and Cons of RPA.

Published by: Namrata Manohar Dhuri, Dr. Abhijit N. BanubakodeResearch Area: Master in Computer Application

Organisation: MET Institute of Computer Science, Mumbai, MaharashtraKeywords: Robotic Process Automation, Architecture, Lifecycle, Applications

Research Paper

112. The Pink City litter survey: Litter investigation of Kardhani Market Malviya Nagar, Jaipur

Nowadays, Litter is a worldwide problem. Every country expends a large amount of money to clean up litter. The USA expended almost 11 billion dollars annually. Litter is an environmental problem which not only responsible for air, water, and soil pollution but also produces harmful effects on humans, animals, plants, and the risk of fire hazards, endangering. Litter is big a problem also in India. Annual waste generation is almost 62 million tons in India, only 43 million tons collected by the different Govt. & private bodies. It is clear that almost 19-million-ton waste remains in the form of litter so our study focused on identifying the nature and source of litter and on solving this problem. We did a survey to identify nature, source, and public attitudes towards litter. We did 2 types of litter surveys in the Satkaar market, Jaipur (Rajasthan). In the first survey, we collected litter material from three streets of the Satkaar market then took it to the lab for analysis. Firstly we categorized litter into seven categories plastic, paper and cardboard, composite material, glass item, metallic items, food and vegetable waste, and other category waste (foam, rubber, cigarette butts, flower and garland, cloths, bird feather). we found that most littering items ids plastic (almost 40% of total % weight of litter ), average recyclable litter is 34.66 % and biodegradable litter is about 43%.in the second survey I made a set of 23 questions to know the attitude and behavior of public towards litter. We found in this survey that most people think that litter is a crime, both administration, and the public are responsible for litter when the educational level increased then the habit of littering is reduced.

Published by: Ishfaq Ul Abass, Sanjay Kumar Meena, Sumit Kumar, Satynarayan Chaudhary, Shan Ahmad Mir, Raghvendra SharmaResearch Area: Civil Engineering

Organisation: Vivekananda Institute of Technology, Jaipur, RajasthanKeywords: Biodegradable, Kardhani market, Litter, Paper, Plastics, Rubber, Street, Recyclable, Trash

Research Paper

113. Face Mask Detection

Manual surveillance of whether people are wearing a mask or not is not only costly but also a risky process. In this present world, which is being hit by the Coronavirus pandemic, the risk of spread of virus is exponentially high when people are not wearing mask. Thus, the automation of the process of detection of people not wearing mask had become a necessity. Our project uses deep learning techniques to determine whether a person is wearing a mask or not. Our proposed system identifies the mask violators automatically which reduces the risk of transmission of virus and also makes it easier for the authority to monitor the mask violators and take action against them without being put at risk of transmitting the virus. We use MobileNetV2 architecture to efficiently achieve best accuracy which is the key to our system. We were able to achieve accuracy of 99.22% after training the model. Detecting and tracking the face mask is the main aim of the project.

Published by: Bhaskar N. Patel, Siddhant Sipoliya, Shashwat Mishra, Shreyansh, Sreelatha P. K.Research Area: Computer Scienece Engineering

Organisation: Sai Vidya Institute of Technology, Bengaluru, KarnatakaKeywords: Mask, Pandemic, Coronavirus, Surveillance, Automation, Authority, Virus and Deep Learning

Research Paper

114. Multidrug-resistant Acinetobacter baumanii infections – A dreadful superbug to humans

Acinetobacter baumanii is considered to be one of the significant pathogens causing nosocomial infections and outbreaks in hospital settings, especially in ICU. The dreadful concern with Acinetobacter infections is their ability to gain resistance against all commonly used antibiotics like Penicillin, cephalosporins, Fluoroquinolones, carboxypenicillin, carbapenems as a result this Multi-Drug Resistant (MDR) strains increases patient hospital stay, cost of treatment, mortality, and morbidity among affected patients. A total of 146 Acinetobacter isolates were received from various clinical samples. Samples received were routinely subjected to Culture. Gram staining was done. The smear showed Gram-Negative Coccobacilli taken and subjected for further biochemical reactions. Antibiotic susceptibility testing was done by Kirby Bauer disc diffusion method in Muller -Hinton agar plate. The majority of Acinetobacter baumanii isolates were received from the 19-40 age group (45.8%), followed by the 41- 60 (26% ) age group. Most of the Acinetobacter baumanii strains were isolated from wound swab 33.5%, followed by urine 29.4%, sputum 17.1%, Blood 10.2%.Antibiotic sensitivity of 146 Acinetobacter baumanii isolates showed Highest resistance to Ampicillin (100%), Gentamycin (70.5%),Cotrimoxazole (68.4%) , Piperacillin Tazobactam (66.4%) , Ciprofloxacin (63%), Nitrofurantoin (61.6%) , Ceftriaxone (61.6%). Levofloxacin, Amikacin, Tigecycline, Colistin were found to be the most effective antibiotics with a sensitivity of 73.2%, 87.6%, 91.7%, 100% respectively. Of 146 isolates 63 (43%) were Multi-Drug Resistant, i.e isolates showing resistance to more than 3 classes of antibiotics. Hence strict infection control and antimicrobial stewardship policies should be implemented in hospitals to reduce mortality and morbidity associated with Acinetobacter baumanii infections.

Published by: Dr. N. A. Fairoz Banu, Dr. Chitralekha SaikumarResearch Area: Microbiology

Organisation: Sree Balaji Medical College and Hospital, Chennai, Tamil NaduKeywords: Acinetobacter Baumanii, Multi-Drug Resistant, Antimicrobial Stewardship

Research Paper

115. Digital health care system for medical report/ certificate sharing

The health care services industry is always showing signs of change and supporting new advancements and advances. This paper describes our blockchain architecture as a new system solution to supply a reliable mechanism for secure and efficient medical record exchanges. It is going to revolutionize the e-Health industry with greater efficiency by eliminating many of the intermediates as we know them today. Digital Health Care (DHC) reform suggests a new consumer paradigm in data and information processing. Here users can be distributed or access networked collaborative care to a centralized repository of personal health records. The new approach in this paper is to explore the Advanced Block-Chain paradigm for e-Health record-keeping and while addressing the special needs of patient privacy. As society is moving towards peer networking and online practices, we are going to combine the best parts of the two worlds in both the healthcare regulation and the technology revolution while formulating advanced solutions.

Published by: Komal Suresh RautResearch Area: Enggineering

Organisation: Sipna College of Engineering and Technology, Amravati, MaharashtraKeywords: BlockChain, Medical Report Data Accessibility, E-Health System, Reliability, Security; Blockchain, Architecture

Research Paper

116. Facial Recognition with Expression

In this paper, motions are a strong tool in communication and a technique that humans show their emotions is through their facial expressions. one among the difficult and powerful tasks in social communications is countenance recognition, as in non-verbal communication, facial expressions are key. In the field of computing, face expression Recognition (FER) may be a spirited analysis space, with many recent studies using Convolutional Neural Networks (CNNs). during this paper, we demonstrate the classification of FER supported static images, using CNNs, while not requiring any pre-processing or feature extraction tasks. The paper conjointly illustrates techniques to improve future accuracy throughout this space by victimisation preprocessing, which includes face detection and illumination correction. Feature extraction is utilized to extract the foremost prominent components of the face, together with the jaw, mouth, eyes, nose, and eyebrows. what is more, we tend to conjointly discuss the literature review and gift our CNN design, and the challenges of victimisation max-pooling and dropout, that eventually aided in higher performance. we tend to obtained a check accuracy of 61.7% on FER2013 throughout a seven-classes classification task compared to seventy five.2% in progressive classification.

Published by: Manoj P., Mahesh N., Shivakumar Vishwakarma R., Alpha VijayanResearch Area: Computer Science

Organisation: New Horizon College of Engineering, Bengaluru, KarnatakaKeywords: Facial Expression Recognition, CNN, Face Detection, OpenCV , Haar Cascades.

Research Paper

117. Melanoma Classification using Convolutional Neural Network Model Integrated with Tabular Model

Melanoma is a major skin cancer type that has a very high death rate. The various sorts of skin abrasions cause an imprecise analysis because of their high resemblance. Precise categorization of the skin abrasions in the premature phase will allow dermatologists to cure the affected individuals in well time and hence saving their lives. This is backed by a research that shows that 90% of the cases are curable, if identified in the initial phase. With the advancements in the computing power and image classification, automatic detection of the melanoma using computer algorithms has become far reliable. With many methods used, neural networks prove to be the best solution devised to attain the highest accuracy in classifying melanoma through early symptoms. We did our survey to find the drawbacks of recent models that serve this purpose with the goal to overcome them and provide a better solution. With the findings based on this survey, we proposed a model that stives to overcome the drawbacks concluded from the previous models. With an accuracy of ~96%, the proposed model provides better solution in prediciting whether the skin lesions are malignant or not.

Published by: Harshkumar Modi, Bhavya Chhabra, SukkritResearch Area: Computer Science

Organisation: SRM Institute of Science and TechnologyKeywords: Melanoma, Neural Networks, Lesions, automatic detection

Research Paper

118. Development and evaluation of solar photovoltaic driven condensing unit for the solar distillation system

Solar distillation is a promising technology for clean water production in areas with abundant solar energy. The main constraint of this technology is low production capacity. In various studies, it has been found that improving water evaporation and vapor condensation inside distillation units can help in increasing the productivity of the solar distillation unit. In the proposed research work single basin double slope solar distillation unit was modified using external reflectors and a solar photovoltaic driven condenser. Experimentation was carried out for comparative performance evaluation of simple conventional distillation unit and modified distillation unit with external reflector and condenser. It was found that the external reflector on the glass cover increases the incident solar energy and thus increases water temperature inside the distillation unit. The rate of evaporation also increased due to condensing fan and condenser coupled with the distillation unit. Results obtained for comparative performance simple distillation unit and modified distillation unit shows that the productivity of single basin double slope solar distillation unit with reflector and SPV drove condenser was 35%. Also, it was found that the modified distillation unit was economically feasible than the conventional distillation unit.

Published by: Supriya Balasaheb Ghule, Dr. A. G. Mohod, Dr. Y. P. Khandetod, Dr. K. G. Dhande, M. B. PatilResearch Area: Renewable Energy Sources

Organisation: Dr. Balasaheb Sawant Agriculture University, Ahmednagar, MaharashtraKeywords: Single Basin Double Slope Distillation Unit, Solar Photovoltaic, Reflector, External Condenser, Productivity, Efficiency.

Research Paper

119. Voice Based Message System Visually Impaired People

The advancement in computer based accessible systems has opened up many avenues for the visually impaired across a wide majority of the globe. Audio feedback based virtual environment like, the screen readers have helped visually impaired people to access internet applications immensely. However, a large section of visually impaired people in different countries, in particular, the Indian sub-continent could not benefit much from such systems. This was primarily due to the difference in the technology required for Indian languages compared to those corresponding to other popular languages of the world. In this paper, we describe the voice message system architecture that can be used by a visually impaired person to access messages easily and efficiently. The contribution made by this research has enabled the visually impaired people to send and receive voice-based messages in their native language with the help of a mobile device. Our proposed system GUI has been evaluated against the GUI of a traditional message server. We found that our proposed architecture performs much better than that of the existing GUIS. In this project, we use voice to text and text to voice technique access for visually impaired people. This project introduces the Voice based message system structural design that can be used by a visually impaired person to access messaging easily. The involvement of research is helping visually impaired individual to send and receive voice based messages in their inhabitant language with the help of a computer

Published by: Nagesh S., S. Sathish Kumar, Latha K., S. Shanmuga PriyaResearch Area: Voice Recognition Using Artificial Intelligence

Organisation: New Horizon College of Engineering, Bangalore, KarnatakaKeywords: Voice Based, Visually Impaired, Message System, Speech To Text, Text To Speech, Interactive Voice Response and Speech Recognition.

Research Paper

120. An efficient quality-driven of face occlusion detection and recognition

This paper affords a identify and discover human faces in a photograph irrespective of their position, scale, in-aircraft rotation, orientation, pose, illumination, etc. To efficaciously become aware of the individual through surprising the history and different noises withinside the photograph. It has to be easy and powerful for the customers and become aware of faces which might be covered with a scarf, mask, shades, etc, This is one of the vital components that influences the overall performance of face reputation. Many algorithms and technology are proposed to clear up the occluded face reputation wherein we use a haar cascade set of rules that is the simplest one. Initially, this set of rules wishes loads of nice pix(pix of faces) and terrible pix(pix without faces) to teach the classifier then we should extract features from it. Facial detection is prompted through the readability of the photograph, colored or black and white pix. It can simplest help frontal detection of pix and the education does take loads of time with a purpose to separate a terrible face from a nice face.

Published by: Shashidhar V., Harshitha B. S., Kavya K., Kaveri K., Rashmi J. B.Research Area: Image Processing

Organisation: Rajarajeswari College of Engineering, Bengaluru, KarnatakaKeywords: Haar Cascade, Face Detection, Recognition, Nice Face, Terrible Face

Research Paper

121. Automatic Drain Water Cleaner System

The proposed concept is to exchange the manual add gutter cleaning by Automated Drain Water cleaner system. Now-a-days albeit mechanical drainage plays an important role altogether domestic and industrial applications within the proper disposal of sewages from domestic, industries and commercials are still a challenging task. Drainage pipes are using for the disposal and unfortunately sometimes there could even be loss of human life while cleaning the blockages within the system . The Automated Drain Water Cleaning system may be a machine which helps to guard the environment from different sorts of environmental hazards through the promotion waste management by the removal of garbage from the drainage system. These wastes when not removed end up settling in residential places where these wastes are burnt thereby causing global climate change otherwise these wastes block the drainage systems thereby causing flooding. In this project the proposal concept is to exchange the manual add drainage cleaning by automated system. We know that water features a superb importance face to face life, the water flow in drain full of wastes like polythene, bottles etc. The gutters get blocked because of these wastes in water. To overcome this problem and many |to avoid wasting “to save lots of lots of human life we implement a design “Automated Gutter Cleaning system” which we've designed our project to use this in efficient thanks to control the disposal of wastages and with regular

Published by: Kaushik Shet, ASHISH KALEKAR, Amol Yadav, Aniket Bhade, Krushna GhadaleResearch Area: Automobile Engineering

Organisation: Dhole Patil College of Engineering, Pune, MaharashtraKeywords: Drain Water/Gutter, Rain Water

Research Paper

122. Simulation of concrete truck mixer transport operation by using Anylogic software

The studies targets to decrease the time price of concrete mixer vans via way of means of improving the manner of loading unloading the concrete via way of means of the use of Anylogic computational simulation. The paper affords the technique of Anylogic simulation version of concrete blend transportation manner additionally thinking about traits via way of means of ready time for loading and unloading, journey time, distance among rmc plant to production sites, varieties of truckmixer and quantity of trucks. It is in particular targeted on a way to concurrently optimize concrete shipping scheduling. Scheduling of truckmixer without delay influences the operation time and cost. This studies targets to triumph over the problems comes throughout the rmc operation the use of destiny prediction simulation version and allocate the quantity of trucks efficaciously and efficiently.

Published by: Arpit Latad, Pravin chaudhariResearch Area: Construction Management

Organisation: Veermata Jijabai Technological Institute, Mumbai, MaharashtraKeywords: Construction Management, simulation, ANYLOGIC

Research Paper

123. Design and analysis of helicopter rotor

A helicopter's blades are lengthy and are restricted by a secondary perspective proportion. Starting at the tip of the vertices, the blade shapes are such that they reduce drag. They maintain a level of messiness that reduces the lift provided at the corners, where the wind current is fastest and vortex era is greatest. The rotor's huge blades would commit to a variety of materials, including aluminum, composites, and steel. The rotor blades would link to the helicopter rotor center, which is powered toward the engine. In this project, CATIA is used to create a three-dimensional model of a helicopter rotor with 2, 3, and 4 blades. Analyzing data in ANSYS allows for a near-accurate result to be obtained in less time while avoiding the possibility of errors for future advancement.

Published by: Gokulchith S. S., Aromal V. C., Akhil Rajasekharan Nair, Angush S. T., Manu MohanResearch Area: Mechanical Engineering

Organisation: Marian Engineering College, Thiruvananthapuram, KeralaKeywords: Drag, CATIA, ANSYS, Vortex

Research Paper

124. Design and analysis of water jacket in the inline six-cylinder engine

A water jacket is a structure that allows water to pass through a cylinder block in a water-cooled internal combustion engine. Also designed and evaluated is a model with fins like projections around the cylinder outer wall that are in contact with the cooling fluid. This research compares the cooling pattern and flow properties of the three types (original water jacket, water jacket with ribs, and water jacket with fins)

Published by: Anand S. M., Sreeganesh S.V., Akash Prakash, Aswin V. S., Dr. Vishnu B. R.Research Area: Mechanical Engineering

Organisation: Marian Engineering College, Thiruvananthapuram, KeralaKeywords: CFD Analysis, Water Jacket, Cylinder Block, Bore Distortion

Review Paper

125. Prediction of stocks and options in stock market using Machine Learning

Machine learning is a type of artificial intelligence that generates predictions based on data by using past stock market indexes as training ground values. Machine learning makes use of a variety of models to make predictions more accurate and easier. The use of machine learning in stock market prediction technology is a trend that helps make better decisions while choosing assets to own. The aim of stock market prediction is to analyze trends and be able to predict the future value of an asset value over time. The analysis in this paper concentrates on asset value estimation utilizing LSTM-based machine learning. The results for the estimation of prices are conducted on assets like Gold, Bitcoin, and Apple Inc. stock. Open, close, low, and high data of assets, obtained from Yahoo Finance are taken into account while training the model. The proposed model can estimate the stock market's movement accurately for the next 30 days.

Published by: Yathisha T. S., Nirmal Jain C. M., Mithun T. P.Research Area: Stocks and Machine Learning

Organisation: RV College of Engineering, Bengaluru, KarnatakaKeywords: Yahoo Finance, LSTM, Open, Close, High, Low

Research Paper

126. AI multi-agent shopping system

An AI based multi-agent shopping system where system is fed with various product details. The system allows user to register and enter his details about a particular product. The system records all the details provided by user and checks for various items matching his search. The system comes up with a list of items best suited for user needs. The system also suggests other related items that the user may like. The system suggests these items which are likely to be bought by the user based on his previous purchases. The system handles multiple users at a time and provides accurate results. Current e-shopping systems use the Internet as its primary medium for transactions. E-shopping has grown in popularity over the years, mainly because people find it convenient and easy to buy various items comfortably from their office or home. This paper has proposed a personalized e-shopping system that helps customers to purchase quality goods and get suggestions from the system to provide better results.

Published by: Mushtaq Ahamed K. S., Mahesh N., Prasanna Kumar P., Dr. Thirukkumaran R.Research Area: Online Shopping using AI

Organisation: New Horizon College of Engineering, Bangalore, KarnatakaKeywords: E-Shopping, Related Products, Multi-Agent, Suggestions

Case Study

127. Marketing retail analytics using tableau and Knime

We deal with the P.O.S (Point of sales) data for a café chain restaurant. Through findings and analysis, we suggest the best ideas for the restaurant to increase its revenues.

Published by: RaghavResearch Area: Business Analytics

Organisation: Vellore Institute of Technology (VIT), Chennai, Tamil NaduKeywords: Exploratory Analysis, Menu Analysis

Research Paper

128. Electronic Health Records using Blockchain and Cloud computing

Blockchain technology eliminates the need for a central system to guarantee information integrity and custody of data, as well as to mediate transactions and the exchange of crypto assets, by allowing safe and pseudo-anonymous transactions and bilateral agreements between participants. It has crucial qualities like immutability, decentralization, and openness that could help with pressing healthcare challenges including inadequate records at the point of care and restricted access to patients' own medical information. Interoperability software system and technology frameworks to interact safely and efficiently, share data, and utilize that data across healthcare organizations and application vendors, resulting in a more efficient and effective public health system. Due to a lack of interoperability, healthcare today suffers from compartmentalized and disjointed data, hindered communications, and fragmented workflow tools. In a safe and pseudo-anonymous manner, blockchain provides access to longitudinal, full, and adulterate aware medical records that are kept in fragmented systems. The goal of our suggested scheme is to first integrate blockchain technology for EHR and then to enable safe storage of electronic records for users of the framework by defining granular access controls. The following framework gives the EHR system the advantages of a blockchain-based solution that is extensible, secure, and integrated.

Published by: Sonia S. B., Amrutha D., Bhavana C., Ankitha J.Research Area: Block Chain and Cloud Computing

Organisation: Atria Institute of Technology, Bengaluru, KarnatakaKeywords: Blockchain, Health Records, Electronic Health Records, Decentralization, and Scalability

Research Paper

129. Relevance of Dr. Bhimrao Ambedkar in present day

Dr Ambedkar also accepts democracy as a way of life, emphasizing the superiority of the individual, he considers the transformation of power as a means. He used to say that the foundation of democracy is not solidified by giving some constitutional rights. In the concept of his democratic system, 'morality' and 'sociality' have been the two main values, whose relevance increases in the present times. In fact, today the tension in politics has increased so much that the values of political morality have disappeared. Every political party calls for political morality and socialism to make vote banks on its side, but they do not implement these principles after getting power.

Published by: Dr. Prashant UpadhyayResearch Area: Social

Organisation: Late Ram Raj Verma Mahavidyalaya, Sarangpur, Uttar PradeshKeywords: Vaishyas, Kshatriyas, Hinduism, Human Society

Research Paper

130. An overview on bio battery unveiling potential

In the modern age there are so many power sources but one of the more efficient power sources in our Villages are the Bio-Battery, which is an alternate sources of energy. using wastewater- which is a major problem in rural India, Handy source of power generation. Further we can stored energy in the form of Carbohydrates, found in the waste biomass ,contains Microbial Fuel Cells. We can produce electricity in an MFC (Microbial Fuel Cells ) from domestic wastewater and at the same time accomplish biological wastewater treatment. So Bioreactors based on power generation in MFCs are a new approach to waste treatment and power generation.

Published by: Subhash Kumar Sharma, Sushil Kumar SinghResearch Area: Electronics

Organisation: Mahatma Gandhi Post Graduate College, Gorakhpur, Uttar PradeshKeywords: Waste Water, MFC, Bio-reactors and Carbohydrates, Bacteria

Research Paper

131. Comparative Study of IS 1893:2002 & 2016 for G+12 Staff Quarter Residential Building

IS1893 gives guidelines for designing seismic resistant structures. Significant enhancements in seismic resistant design has been seen in recent years. Hence, after a gap of 14 years, Indian seismic code IS: 1893 has been revised in year of 2016. The purpose behind presenting this project is to gain relevant Indian standard codes knowledge that has been used for design of various buildings component such as beam, column, slab, and foundation and stair case using the software Etabs under the earthquake load and wind load acting on the structure

Published by: Rohit Kokane, Prof. P. B. AutadeResearch Area: Structural Engineering, Civil Engineering

Organisation: Dr. V.V.P. College of EngineeringKeywords: Seismic Analysis, Etabs 2019, Comparison between IS 1893:2002 & 2016, Dynamic Analysis

Research Paper

132. Solar Energy for Refrigeration and Air Conditioning

In today’s world, the demand for comfort has been growing at an exponential rate. The utilization of air-conditioning and refrigeration systems has increased, which results in higher costs and consumption of energy. It is one of the main constituents of Global Warming. For example, Indian market of air conditioners was of worth $4.3 billion in 2017and will be of $11 billion by 2023 with a mean growth of 17% per annum.[2] Consequently, India produced roughly 2.5 billion tonnes CO2 within the year 2018. As a result a substitute for conventional method of air conditioning is being searched. Use of solar energy in air conditioning and refrigeration can be a substitute. It help in reduction of the consumption, the demand, and therefore costs of energy, without decreasing the desired comfort. These systems help in air conditioning and may even be used for refrigeration purposes. The can easily be used in commercial and residential apartments, colleges, hospitals, hotels etc. In this paper we will discuss the functioning of these systems and future scope of solar power in air conditioning and refrigeration.

Published by: Vishal Pathak, Shivraj, J. P. KesariResearch Area: Solar Energy

Organisation: Delhi Technological University, DelhiKeywords: Air-conditioning and refrigeration, CO2 emissions, solar power

Research Paper

133. Forecasting of the cotton price using an econometric model

A commodity market is a place for investors to trade in commodities like precious metals, crude oil, natural gas, energy, and spices, among others. Currently, the Forward Markets Commission allows futures trading in India for around 120 commodities. Trading in commodities is great for investors seeking to diversify their portfolio, as these investments often help with inflation. The Indian commodity derivatives market has shown solid flexibility to the Covid-19 pandemic, recovering rapidly from the underlying stock following the nation-wide complete lockdown. This study examines the market fundamentals, contract specification and market and price behaviour is the supreme problem of commodity investors and trader. The present study spotlights the price behaviour/movement and market behaviour/volatile in Indian agricultural commodity market (MCX) using econometric model. The study aims at market fundamentals of the commodity which includes demand, supply, import and export and changes in contract specification. The study also aims to study the volatility and caused effect between futures price and spot price of commodity cotton from the period 2019 to 2020 daily data were collected from Multi Commodity Exchange (MCX). This study also analysed the correlation and co-integration between the spot price and futures price of commodity cotton in Multi Commodity Exchange (MCX). The study employed statistics tools such as descriptive statistics, unit root test (ADF test), correlation test, OLS regression test, co-integration test, granger causality test, GRACH Test and ARIMA. The study found that the existence of normality and absence of unit root in time series data, also risk was higher than the mean return of futures and spot price of commodity cotton. There was low positive correlation between futures price and spot price of commodity cotton. In co-integration between spot and future price of commodity cotton explains that there is a long run relationship and both the prices are interconnected. The GARCH test evidenced that low volatility secured both futures price and spot price of commodity cotton and absence of cause and effect during the study period. The investors have to consider the high volatility commodity futures price which make effective in trading and investments in the aspect of price discovery. The result replicates that each commodity traded or invested in exchange has different price effectiveness concept and the investors and trader should recognise the commodity to hedge price risk. The last step that is ARIMA examines that the best criteria to forecast the cotton future price is ARIMA(0,1)(0,0).

Published by: Prapulla S., R. Sushma, Madhusudhan K.Research Area: Management

Organisation: BMS College of Engineering, Bengaluru, KarnatakaKeywords: Commodity Market, Spot and Future Market, Price Discovery, ADF Test, Garch Test, Granger Causality Test, Arima Model


134. Objectual understanding of moments of earth and relevant systems

This research relating to the effects of the universal system on the environment and living beings in the course of time intervals and understanding the survival systems and practical observation.

Published by: Yalla Venkata Chalapathi RaoResearch Area: Sociology

Organisation: Independent ResearcherKeywords: Psychology, Artificial Intelligence, and Astrobiology

Research Paper

135. implementation and analysis of credit card fraud detection using a Machine Learning Technique

Due to rapid growth in the field of various cashless transactions or digital transactions, credit cards are widely used in almost every work and hence there are more chances of fraudulent transactions. Depending on the type of fraud faced by banks or credit card companies, various measures can be adopted and implemented. Here the credit card fraud detection is based on fraudulent transactions. Generally, credit card fraud activities can happen both offline and online. But in today’s world online fraud transaction activities are increasing day by day. So in order to find online fraud transactions, various methods have been proposed and implemented by various organizations. This project proposes a machine learning technique for credit card fraud detection. Machine learning is the currently used technique implemented in various sectors. It is prioritized due to its ongoing advancements making our lives easier. In the proposed system, we use Random Forest Algorithm (RFA) for finding the fraudulent transactions and the accuracy of the transactions. The main aim is to detect fraud while making a transaction and alert the user if his/her account was accessed by an intruder. Credit card fraud detection using Machine learning is done by using classification and regression techniques. We use the Random Forest algorithm which is a supervised learning algorithm to classify the fraud card transaction into fraud or genuine transactions. This algorithm uses decision trees for classifying the data set. After classifying the dataset a confusion matrix is obtained. The performance of the Random Forest Algorithm is evaluated based on the confusion matrix. The results obtained from the processing data set to give an accuracy of about 70%. The random forest has better efficiency and accuracy than any other machine learning algorithm. This model is implemented by Python and SQL programming languages.

Published by: Sanka Reshmi, Saripalli V. R .Manasa, Siramdas Shyamala, Sreerama Usha Ramya, B. Esther Sunanda, D. SowjanyaResearch Area: Computer Science and Engineering

Organisation: Andhra University College of Engineering for Women, Visakhapatnam, Andhra PradeshKeywords: Credit Card Fraud Detection, Transactions, Random Forest Algorithm, Classification

Research Paper

136. Used car price prediction

This research paper is the combination of datasets collected by cardekho.com and we have used ML to predict the price of a used car by creating a model using python, flask, and HTML the algorithm that we have used is Random Forest Regression. The price of the car is determined by the manufacturer and not everyone can afford it so they look for some low-cost alternative such as used car and this helps to build a big and evergreen used car market but due to the price irregularities this market is facing lots of problems so we have used machine learning to develop a new model that will predict the price and help consumers to buy the used car at a perfect price.

Published by: Abhishek Jha, Dr. Ramveer Singh, Manish, Imran Saifi, Shipra SrivastavaResearch Area: Machine Learning

Organisation: Greater Noida Institute of Technology, Greater Noida, Uttar PradeshKeywords: Used Car Price, Car Price Prediction, Prediction Model, Machine Learning, Random Forest Regression, Seaborn, Python, Flask, Pandas, Numpy.

Research Paper

137. Credit Card Fraud Prediction

Fraud detection by credit companies is essential in this digital era where the majority of financial transactions are made online. Fraudsters use loopholes in the payment systems to their benefit. Such problems can be solved to a large extent if the companies add an extra layer of security before confirming the transactions using machine learning algorithms. This project intends to use the Isolation Forest algorithm to enhance the security of credit card transactions by predicting the credibility of the transaction before authorization. Detecting 100% of the fraudulent transaction, minimizing the incorrect fraud classifications, and making the process automated is our objective.

Published by: Yash Rajesh, Thyagaraj TanjavurResearch Area: Machine Learning

Organisation: BMS Institute of Technology and Management, Bengaluru, KarnatakaKeywords: Credit Card Fraud, Extra Security Layer, Machine Learning Systems, Isolation Forest Algorithm Automated Fraud Prediction

Research Paper

138. Comparative study of industrial steel structure (pre-engineered building) and residential RCC structure

Industrial steel structure (PEB) constructions are very popular to their advantages over conventional RCC construction. RCC structures are bulky and impart more seismic weight and less deflection whereas Steel structures instruct more deflections and ductility to the structure, which are advantages to resisting earthquake forces. Industrial steel structure Construction the better properties of both steel and concrete along with lesser cost, speedy construction, better quality control, sustainability, etc. Hence the aim of the present study is to compare a G+2 story residential RCC structure and an industrial steel structure. Both structures are designed for the same loading condition. Beam and column sections are made of either RCC, Steel (PEB) sections. STAAD PRO software is used for analysis and design and analysis results are compared. Cost-effectiveness based on material cost for Steel structure and RCC structure determined. The study concludes that industrial steel structures (PEB) are the best-suited types of constructions in terms of material cost.

Published by: Mahesh Nivrutti Ghumare, S. N. DauleResearch Area: Structural Engineering, Civil Engineering

Organisation: Dr. Vithalrao Vikhe Patil College of Engineering, Ahmednagar, MaharashtraKeywords: Industrial Steel Structure (PEB), RCC, Analysis, and Design

Research Paper

139. Characteristic study in optimization of Biomethanation process for high TDS spent wash from Distilleries

Acidic in nature, dark brown colored rich source of salts, a highly thick and viscous by-product of the sugar industry is known as Molasses. This molasses also contains sugar which could not be crystallized. It is one of the strongest organic industrial waste and even complex troublesome having extremely very high Chemical Oxygen Demand and Biological Oxygen Demand values. Due to the high concentration of organic contents in distillery spent wash which acts as a potential source of renewable energy. In a developing country like India, distilleries have become a major source of pollution as 88% of its raw materials are converted into waste and discharged into the distillery for every liter of ethanol produced.

Published by: Lalitha Devaraju, Dr. Manju B., Dr. Sathisha N. S., Dr. Kiran B. M.Research Area: Engineering Chemistry

Organisation: Government Engineering College, K. R. Pete, Krishnarajpete, KarnatakaKeywords: Total dissolved solids, Distillery Spent Wash, Organic Effluent

Review Paper

140. Seed Vigor Testing in Cotton: A Review

Attaining seed and seedling vigor in cotton is a goal of both researchers and producers. By separating and defining components of seed and seedling vigor, progress can be achieved. Seed vigor should be distinguished from seed viability and defined in terms of low degree of seed deterioration. Being a connecting link between two generations of plants or crops, seed is a carrier of new technology or new improvements made by the breeders, seed vigour is an important parameter, needs to be assessed primarily to supplement germination and viability tests to gain insight into the performance of a cotton seed lot in the field or in storage. Seeds are prime factor for crop production, human nutrition, and food security. The key component of the performance of crop seeds is the complex trait of seed vigour. In Agriculture, the crop yield and resource use efficiency depend on successful plant establishment in the field, and it is the vigour of seeds that defines their ability to germinate and establish seedlings rapidly, uniformly, and robustly across diverse environmental conditions prevailing in region. Improving vigour to enhance the critical and yield-defining stage of crop establishment remains a primary objective of the agricultural industry. The knowledge of the regulation of seed germination has developed greatly in recent decades. However, the understanding of the basis of variation in vigour and therefore seed performance during the establishment of crops remains limited. Here we consider seed vigour at an eco-physiological, molecular, and biomechanical level. We discuss how some seed characteristics that serve as adaptive responses to the natural environment are not suitable for agriculture. Past domestication has provided incremental improvements, but further actively directed change is required to produce seeds with the characteristics required both now and in the future. In this paper, the focus is to discuss ways in which basic plant science could be applied to enhance seed performance in cotton production.

Published by: Dr. Vaibhav V. Ujjainkar, Dr. Manoj W. MarawarResearch Area: Agriculture

Organisation: Dr. Panjabrao Deshmukh Krishi Vidyapeeth Akola, MaharashtraKeywords: Cotton, Seed Germination, Seed Testing and Seed Vigour

Research Paper

141. Facial emotion recognition and detection

Face and Emotion recognition presents a challenging problem in the field of image analysis and computer vision. The security of information is becoming very significant and difficult. Security cameras are presently common in airports, offices, universities, ATMs, and banks, and in any locations with a security system. Face recognition is a biometric system used to identify or verify a person from a digital image. The Face recognition system should be automatically able to detect a face and its emotions. This system would be able to perform for multiple people at a time.

Published by: Pranav S., Praveen C., Niveditha C. B., Asha Rani BorahResearch Area: Computer Science

Organisation: New Horizon College of Engineering, Bengaluru, KarnatakaKeywords: Face Emotion Recognition, Deep Learning, CNN, Keras

Research Paper

142. CARKART: A Machine Learning and Augmented Reality application to ease car retailing

CarKart is a user-friendly futuristic android application with Machine Learning and Augmented reality capabilities. It enables the user to upload the image of the car which can be processed to detect the foremost probable car. The machine learning model is trained on the Stanford car dataset containing 196 classes of cars. Hence, this problem is categorized as a multi-label classification problem. Additionally, the users are going to be able to view various models of cars available within the market alongside their specifications and video feed, Fetch a list of nearby showrooms and repair centers, set service reminders, provide their feedback, survey on used cars, check their availability and costs, be able to contact car dealers, thereby introducing the concept of retail. The app also displays the live-size 3D prototype of certain selected car models using Augmented Reality. So, the user can consider all the essential factors before arriving at an informed decision as per their requirement.

Published by: Mrunalini M., Kasthuri C. M., Pranjal Sharma, Gururaj S. P.Research Area: Computer Science and Engineering

Organisation: Siddaganga Institute of Technology, Tumkur, KarnatakaKeywords: Machine Learning, Augmented Reality, Android Application

Research Paper

143. Study showing the relationship between online food delivery platforms and revenue earned by restaurants in Mumbai.

Online orders and doorstep delivery are one of the most significant developments in India in recent times. The customers are fortunate to select any food item of their choice from any of the listed restaurants at whatever time to any place. The main objective of this study is to collect information about online food platform and how it influences the revenue earned by restaurants in Mumbai. The data will be collected through the questionnaire distributed to 114 restaurants and 100 customers across Mumbai City who are using online food delivery platforms. Also, interviews will be conducted with the managers to know to analyze the cost and benefits of using an online delivery platform. Also, secondary sources of information like journals and research articles will be used for the purpose of the research. Data will be analyzed using SPSS Package, etc and the conclusion will be based on analyzed data.

Published by: Prachi Malgaonkar, Ayudha RaulResearch Area: Commerce

Organisation: M. L. Dahanukar College of Commerce, Mumbai, MaharashtraKeywords: SPSS Package, Data, Restaurants

Research Paper

144. Cost-effective social distance maintenance in primary schools

During the СОVID-19 раndemiс, teсhnоlоgiсаl sоlutiоns аre сritiсаl keeр оur сities funсtiоnаl, аnd truly the lоng-lаsting imрасts оf engаging teсhnоlоgies оn urbаn аreаs mаy оссur beyоnd СОVID-19. This Reseаrсh Tорiс аims tо reseаrсh the sustаinаbility, tоlerаbility аnd reliаbility оf IоT sоlutiоns in resроnse tо the СОVID-19 раndemiс. In Indiа, mоst оf the eduсаtiоnаl institutiоns shut dоwn аt the beginning оf Mаrсh 2020. Сhildren аnd раrents hаd thоught thаt sсhооls wоuld орen uр аfter twо оr three mоnths. But аfter оne yeаr, the sсhооls remаin сlоsed. Аlsо, sоme sсhооls thаt did орen аre being рооrly аffeсted by the seсоnd wаve оf соvid sрreаd. Аn аutоmаtiс hаnd sаnitizer disрensing mасhine is аutоmаted, nоn-соntасt hаnd sаnitizer disрenser, whiсh finds its use in hоsрitаls, wоrk рlасes, оffiсes, sсhооls аnd fаr mоre. Sаnitizer is essentiаlly а sоlvent, аnd аlsо а reаlly gооd disinfeсtаnt in соmраrisоn tо sоар оr sоlid sоар, аlsо it dоesdon't need wаter tо sсrub оff sinсe it is vоlаtile аnd vароrizes instаntly аfter аррliсаtiоn tо hаnds. We аre аlsо inсluded sосiаl distаnсing in оur рrороsed system by using ultrаsоniс sensоr whiсh indiсаtes the distаnсe between the students аnd system sо thаt соntасtless envirоnment саn be сreаted in оrder tо аvоid sрreаding оf Соvid-19. The effeсtiveness оf the рrороsed аррrоасh in terms оf reliаbility, соst is meаsured аnd рresented in this рарer.

Published by: Joicy Castilino, Vandana C. P., Harshitha Sundarvelu, Helen Hephzibah, Simran FathimaResearch Area: Information Science and Engineering

Organisation: New Horizon College of Engineering (Affiliated to VTU), Bangalore, KarnatakaKeywords: Autоmаtiс Hаnd Sаnitizer, Embedded C, Sensоr, ,Miсrосоntrоller, Sосiаl-Distаnсing

Research Paper

145. Automatic solar tracking and cleaning system

Solar energy is the most abundant source of energy for all the forms of life on the planet Earth. But the solar technology has not developed to the extent of the conventional sources of energy. It faces lots of challenges such as high cost, erratic and unpredictable in nature, need for storage and low efficiency. This project aims at increasing the efficiency of solar panel which leads to increase in overall plant efficiency. This is the purposes to develop the “Solar Tracking and Cleaning System”. The Solar Tracking System is a power generating method from sunlight. This method of power generation is simple and is taken from natural resource. This needs only maximum sunlight to generate power. This project helps for power generation by setting the equipment to get maximum sunlight automatically. This system is tracking for maximum intensity of light. When there is decrease in intensity of light, this system automatically changes its direction to get maximum intensity of light. The cleaning system is using to remove the accumulated dust on its surface on a regular basis and maintain the solar panel output the system is robotic system which could have the nozzle from which the water is sprinkle on the panel and thus the panel get clean. This project also aims to reduce human involvement in the process of solar panel rotating and cleaning.

Published by: Rishikesh Sahebrao Dawange, Pavan Rajendra Shelar, Hemant Shamnath Khare, Vishal Kisan DeoreResearch Area: Mechanical

Organisation: S.N.D College of Engineering, Yeola, MaharashtraKeywords: Automatic Solar Tracking System, Automatic Solar Panel Cleaning System, Increased Efficiency of Solar Panels, Maintenance Free Solar Panel System

Research Paper

146. Automatic classification of diabetic retinopathy using Convolution Neural Network

Diabetic eye disease is a complexity that affects people having diabetes for a longer time. By affecting the blood vessels it can cause blurry vision or even blindness to the patients. Thus, detecting eye disease at an early stage can help many diabetic patients to get the required treatment and intern increases the survival rate. In the proposed system, the CNN algorithm of machine learning is used to detect diabetic eye disease by using thermal images. These images are pre-processed by converting them from RGB to GRAY based on which the required features are extracted. To detect diabetic retinopathy, here the Convolutional Neural Network is used to classify 5 stages of the diseased eye.

Published by: Pooja Pimpalshende, Rahul BhandekarResearch Area: Enggineering

Organisation: Wainganga College of Engineering and Management, Nagpur, MaharashtraKeywords: AI, Machine Learning

Research Paper

147. Remote administration of speed of an induction motor

Induction motors are widely used in many industries and domestic applications. They are used commonly in many open-loop control applications due to their cost, size, efficiency, less maintenance, simplicity and easy manufacture. In the past traditional speed control methods were used to control the speed of the DC motors, But DC motors have commutator and brushes which require more maintenance and are hazardous. So Induction motors are more preferred in these fields. Since most of the industries use Induction motors , controlling of it plays a major role. This project deals with controlling the speed of Induction Motor using Android phone remotely through Bluetooth Technology. We are using android application which uses Bluetooth to connect to the Bluetooth modem of the control circuit. Bluetooth modem is interfaced with the AVR Microcontroller. The Bluetooth slave receives the commands from the Android phone, then The Bluetooth module sends the signal to the Microcontroller. It decodes the signal and generates the pulse width signals which activates its circuit and gives the change in speed of induction motor with respect to the change in firing angle of TRAIC. This way speed can be easily varied and maintained as per the required values. We are not only controlling the speed of the induction motor, we can also detect the temperature and voltage of it which can be displayed on the android phone. Therefore, this project will be helpful in households, commercial use, industries etc

Published by: S. Bala Sai, G. Sharath Kumar, L. Sai Vivek, Baira RavitejaResearch Area: Electrical Engineering

Organisation: Sreenidhi Institute of Science and Technology, Hyderabad, TelanganaKeywords: IoT, Induction Motor, Speed Control


148. A study to assess the effectiveness of structured teaching program on knowledge regarding revised immunization schedule among mothers of under-five age children in selected hospital at the selected city.

A study to assess the effectiveness of structured teaching programme on knowledge regarding revised immunization schedule among mothers of under five age children in selected hospital at selected city.”Objectives: To assess the existing knowledge of mothers regarding revised immunization schedule and to evaluate effectiveness of structured teaching programme on knowledge regarding revised immunization schedule. And To find out the association between pre-test knowledge score with selected demographic variables. Methodology: quantitative research approach was used with quasi experimental one group pre-test and post- test design. Population50 Mothers of under Five Age Children, Purposive Sampling Technique was used for data collection. Result: In the pre-test- 6 (12%) had inadequate knowledge, maximum 44 (88%) had moderately adequate knowledge and no one mothers of under five age children had adequate knowledge regarding revised immunization schedule. In post-test- maximum 47 (94%) Mothers of under-five age children were having adequate knowledge and no one mothers of under-five age children were having inadequate knowledge and remaining 3 (6%) Of mothers of under-five age children were having moderately adequate knowledge regarding revised immunization schedule.

Published by: Fulwanti Natwar Padvi, Sandhya Bhimrao WaghResearch Area: Nursing, Uderfive Age Chilfdren Mother

Organisation: Aurangabad Nursing College, Aurangabad, MaharashtraKeywords: Structured Teaching Programme, Knowledge, Revised Immunization Schedule, Mothers of Under Five Age Children

Research Paper

149. Adaptive traffic management system using traffic API

Traffic congestion is rising in cities around the world. Contributing factors include expanding urban population, aging infrastructure, inefficient and uncoordinated traffic signal timings. According to researchers, Signal Timer issues (like out-of-sync timers) are at the top causing factors of traffic congestion along with a disproportionate number of vehicles and road-work/accidents. The purpose of this article is to illustrate one of the possible solutions to increase the efficiency of existing traffic signals by optimizing signal timings with the help of real-time traffic data using a traffic API. The proposed solution is bolstered by a mathematical equation that follows the principle of equity.

Published by: Soham Bhure, Ritvik Patil, Sanket UmredkarResearch Area: Traffic Management Systems

Organisation: Vishwakarma Institute of Technology, Pune, MaharashtraKeywords: Traffic Density, Traffic Flow, Traffic API, Traffic Congestion, Equity, Optimization

Survey Report

150. A study on various optimization algorithms for task scheduling in cloud computing

The prompt development of storage technologies, processing, and the internet’s success has made the computing resources more available, more influential, and cheaper than before. This drift in the technological field has paved way for the realization of a new computational model which is Cloud Computing. One of the most challenging problems faced in cloud computing is task scheduling, where the clients want their tasks to be finished as per the deadline within the shortest time possible. Task scheduling in the cloud is done based on various parameters such as priority, cost, time, bandwidth, resource utilization, performance, etc. The current work focuses on providing a detailed review of various optimization algorithms for scheduling in the cloud. This study is useful in understanding various optimization algorithms that are used for task scheduling, the way they behave and function. The algorithms presented here are mainly focused to minimize the computational cost and execution time thereby increasing the overall efficiency.

Published by: Gujjala Sai Lakshmi Namitha, Bindu Madhavi SiraparapuResearch Area: Computer Science Engineering

Organisation: SRM Institute of Science and Technology, Chennai, Tamil NaduKeywords: ACO Algorithm, BCO Algorithm, Cloud Computing, Genetic Algorithm, PSO Algorithm, Task Scheduling

Review Paper

151. A study of Wireless Sensor Network security attacks and Intrusion Detection Techniques

Nowadays, remotely impromptu sensor systems have gained popularity in both commercial and military situations. In any case, security is a critical problem for IoT systems due to its distribution in an open and unprotected environment. Also, because the encryption component is still insufficient to support the sensor protection from malicious attacks, a framework for detecting interruptions should be given. While interruption counteraction is an effective and successful strategy against attacks, there may be some assaults for which no established avoidance technique exists. Therefore, apart from protecting the framework against known attacks, the interruption detection framework collects critical data about attack strategies and aids in developing an interruption counteraction framework.

Published by: Nitu Singh Gahlawat, Praveen KanthaResearch Area: Networking

Organisation: BRCM College of Engineering and Technology, Bahal, HaryanaKeywords: Wireless Sensor Network, Intrusion Detection System, Sequential Design

Research Paper

152. Application for Donation Centers

The aim of this application was to look at how donations work and the way small-NGOs are adapting in terms of technology and also the growing crisis around Covid-19 and the way it's affected them adversely. The cross-platform application can facilitate NGOs to publish their desires and what has to be provided to the poor on pressing basis and also the donor will simply select based on their ability to present food, garments or commodities that they will present to those in want. The manual posts can facilitate the users select what they need to present rather than restricted selections. the appliance would be a linking bridge between unaware donors and NGOs searching for bound donors that may profit the necessitous.

Published by: Atul Satam, Ninad Gavli, Bhavna AroraResearch Area: Computer Engineering

Organisation: Atharva College of Engineering, Mumbai, MaharashtraKeywords: Donation, Cross-platform, NGOs, Donors

Research Paper

153. Plague and death in the play Romeo and Juliet

William Shakespeare was an excellent writer that changed the front face of the English language. Romeo and Juliet have been one of the best-known literary works. Through this paper, it can be understood how the external circumstances that had affected England and how Shakespeare has blinded this aspect to the theme of death in his tragedy Romeo and Juliet. The black death had directly and indirectly affected the life of the people as they could see mass destruction all around them and this could be partially evident through the play Romeo and Juliet.

Published by: K. Athira, Dr. Sowmiya L. M.Research Area: Literature

Organisation: Sathyabama Insititute of Science and Technology, Chennai, Tamil NaduKeywords: Plague, Quarantine, Death

Review Paper

154. Sigmund Freud’s Journey from ‘Libido’ Theory to the ‘Unconscious’ Theory in Art

Freud tried to probe deeper into the unknown realm of the unconscious and was successful in this. Freud also conducted psychoanalytic studies on art and thus attempted to find unconscious factors within the artist's own psyche.

Published by: Ridhi Sarraf RiddhimaResearch Area: Art

Organisation: Raja Man Singh University, Gwalior, Madhya PradeshKeywords: Libido, Unconscious, art, theory, dreams, Singmud Freud

Research Paper

155. Fault Detection and Diagnosis in PV System Array

Solar energy has procurement increasing attention in modernistic year. The power generation from solar source is always clean and free from pollution. In recent year, the price of solar PV panel is going downwards which increased the attention to use solar PV application in the recent years. Machine Learning techniques are employed in photovoltaic (PV) systems to make full utilization of PV array output power which depends on solar irradiation and ambient temperature. For such a large scale growing business it is necessary for it to be free of faults so that are ensured smooth and hassle free working.

Published by: Vinit Koli, Abhijit Shankar Iyer, Aniket Kedare, Vinayak More, Milind ParayeResearch Area: Electronics and Telecommunication Engineering

Organisation: Sardar Patel Institute of Technology, Mumbai, MaharashtraKeywords: Faults, Detection, Solar, Arrays, Machine Learning

Research Paper

156. Comparison of the presence of Comorbidities in Recovered and Expired patients with COVID-19 infection

Background The Covid 19 pandemic, has been reverberating across the globe with varying severity & disease presentations. The epidemiological factors associated with the disease included the age & the associated comorbidities like Hypertension, Diabetes Mellitus & Chronic heart & Lung diseases amongst others. Objectives To study the presence of Comorbidities in Covid 19 patients. Methods A retrospective observational study from the laboratory and medical records was conducted on consecutive 100 recovered & Expired patients admitted to a tertiary care centre. Results & Conclusions; The average age of the Recovered & Expired patients was 43.68 years & 58.71 years with a male female ratio of 58:42 & 74::26 respectively. An increase in the age with an increasing no of comorbidities was seen in both the groups. A significant male preponderance was seen showing an increase with increasing number of the associated comorbidities. Amongst other comorbidities, more than 50% of the expired patients were hypertensive compared to only 20% of the recovered patients. 38% of the expired patients were admitted with a history of Diabetes Mellitus compared to 23% of the expired patients. 70% of all patients having Hypertension & 63% of all having DM as the only comorbidity expired from the disease. 86% of all patients with a cardiac disease & 100% of all patients in the study having an associated kidney disease or immunocompromised expired from the disease. Hence a significant association was found between associated comorbidities & mortality in the patients.

Published by: Dr. Anjali Goyal, Dr. Heta Patel, Dr. Chandni Gadara, Dr. Shachi Shah, Dr. Misha AntaniResearch Area: COVID-19

Organisation: Smt. NHL Municipal Medical College, Ahmedabad, GujaratKeywords: COVID-19, Comorbidities, Hypertension, Diabetes Mellitus

Research Paper

157. Detection of macro based attacks in office documents using Machine Learning

With the rapid developments in internet, users share information through document files generated through online or offline office software. Due to implicit trust on the web and wide acceptance of these document files (such as PDF, DOC, Office Open XML), users share documents on the web by trusting third-party services which can be easily exploited by cybercriminals to inject malicious code (Malware) into the document files by various means of exploitations. These exploitations are undetectable and easily evaded on antivirus software which makes the problem of malware detection and classification even more complex. In recent years, the attacks that leverage office documents have gradually increased and thus harder to detect since malware authors use various ways to inject malicious code on to the office documents. They offer flexibility in document structure with numerous features for attackers to exploit. In this paper, a broad classification of macro based malicious document attack is provided along with a detailed description of the attack opportunities available using office documents. A hybrid malware analysis technique is proposed which thoroughly analyze the file for any macro attacks along with decision paradigms such as machine learning is used to detect and classify the malicious document present in Microsoft Office applications such as Word, Excel, Power point.

Published by: Aishwarya, Bhumica B., Sumit Suman, Ravi V.Research Area: Cybersecurity

Organisation: Siddaganga Institute of Technology, Tumkur, KarnatakaKeywords: Macros, Malwares, Random forest, Compound Binary Format

Research Paper

158. College Kendra

The android app “College Kendra” is a package of unique features that a university/college need in their college life. There are 8 features in this android app namely Online Attendance, E-Passbook, Notice Board, Calculator, Anonymous Feedback, Automatic Silent Mode and Distress Alert. These might seem pretty common but they aren’t. This paper describes why in the coming sections. The main feature in this app, the Online attendance is made to save professor’s time on trivial attendance task. The amount of average time saved on daily basis will be 5 minutes. This is the time which will be wasted on taking attendance manually, which accounts over 10 hours per semester and 20 hours per year. Also, through this app we can 100% ensure that the student is really present in the class, thus eliminating proxies. What makes it completely efficient is the One-Time-Password based authentication (OTP). This particular Attendance feature totally eliminates the paper work too. With effective usage, any institute can apply this feature for conducting quick attendance and get better results in less time. The calculator feature I developed isn’t any typical or regular calculator that everyone uses. It doesn’t have the same usual operations. As graduation students use this, it’ll have prime and big-league operations such as bit convertor. The other features help the students with college tasks and non-academic problems. The E-Passbook, Notice Board and Chat Room features included in the app will help with classroom tasks and work as communication media. The Anonymous feedback feature helps to report any issue in the classroom. The Automatic Silent Mode Turner will set the phone in the silent mode automatically when you are in the class. The Distress Alert option would help students to alert others during emergency or unusual situations with just a single click. This paper gives a complete understanding about all the features of our app, which is a complete means of help for a university/college.

Published by: Pranav KongaraResearch Area: Computer Science Engineering

Organisation: Andhra University College of Engineering, Visakhapatnam, Andhra PradeshKeywords: Android Studio, Java, XML, College Kendra, Online OTP Attendance, Calculator, E-Passbook, Online Notice Board, Chat Room, Anonymous Feedback, Automatic Silent Mode Turner, Distress Alert

Research Paper

159. Importance of Feature Selection in Model Accuracy

As a dimensionality reduction strategy, feature selection attempts to select small set of most important features from primary features by eliminating obsolete, data-redundant and non-relevant noisy features. This process of choosing a set of the original variables such that a model based on data containing only these features has the simplest output is known as feature selection. Feature Selection eliminates over-fitting, increases model efficiency by removing redundant functions, and has the added benefit of maintaining the primary feature representation, resulting in improved accuracy. Good learning efficiency, results into higher machine learning model accuracy, lower cost of computation, and efficient model accuracy, is typically the product of feature selection. Recently, researchers in the area of computer vision, deep Learning, data mining, and other fields have shown that several feature selection algorithms resulted in the efficiency in their work through computational theory and research. This paper aims to examine the importance of feature selection in model accuracy. Feature selection is critical for various reasons, which include simplicity, performance, computational efficiency, and accuracy. It is often used in both supervised and unsupervised learning scenarios. These strategies can help boosting the productivity of various machine learning algorithms, as well as coaching. Feature selection decreases learning time and increases data consistency and comprehension.

Published by: Pranjal Rawat, Nitin, Sameer Dev SharmaResearch Area: Data Science And Analytics

Organisation: Uttaranchal University, Dehradun, UttarakhandKeywords: Feature Selection, Over-Fitting, Supervised Learning, Unsupervised Learning, Computer Vision

Research Paper

160. Clustering of JSON document using Derived X-Path Method

In this modern era where data creation is in abundance, handling that data is the biggest question researchers have been trying to solve for the past couple of decades. The data in any form needs to be stored in such a way that the retrieval and manipulation of the data are easier and simpler. In this paper, we look at how huge datasets in JSON format are being analyzed and made into clusters for an easier understanding of the documents that we are handling. This process is done by the first pattern analyzing the documents followed by clustering those documents one by one based on similarity of the attributes (arrays and sub-documents included). The clusters are then evaluated on an algorithm designed specifically for this purpose. To conclude, this paper lays out the model on how to cluster huge JSON documents with varying levels and types.

Published by: Kaushik I.Research Area: Computer Science

Organisation: National Institute of Technology Karnataka (NITK), Mangalore, KarnatakaKeywords: JSON, Cluster, Schema, Attributes, Similarity, Decision Tree, X-Path

Research Paper

161. Application of AI in drug discovery

Target-driven drug discovery is a process in which a known target is used to search for small molecules that interfere with it or influence its role in cells. These methods function well for easily druggable targets with a well-defined structure and well-understood interactions within the cell. However, due to the complexity of cellular interactions and a lack of understanding of intricate cellular pathways, these methods are severely limited. By detecting novel associations and inferring the functional significance of various components of a cellular pathway, AI will conquer these obstacles. It extracts useful knowledge from a broad dataset using complex algorithms and machine learning techniques. QSAR modeling based on structure, de-novo drug design, automated synthesis planning is just a few of the cutting-edge applications available. Screening of the compounds along with optimizing the lead compound, goal validation and selection, nonclinical research and studies, and clinical drug trials are all places where AI is used extensively.

Published by: Mohit Singh Negi, Anosh SinghResearch Area: Computer Applications

Organisation: Uttaranchal Institute of Management, Dehradun, UttarakhandKeywords: Artificial Intelligence, Deep Learning, Drug Discovery, Machine Learning, QSAR

Research Paper

162. AI-based hexapod military robot

Hexapod walking robots have attracted considerable attention for several decades. However, only in the recent past efficient walking machines have been conceived, designed, and build with performances that can be suitable for practical applications. Nowadays many expenses are made in the field defense on adopting primitive security measures to protect the border from trespassers. Some military organizations take the help of robots in risk-prone areas which are not that effective when done by army men. These robots are confined with the camera, sensors, metal detectors, and video screen. The main objective of our system is to get automated gun targeting including some additional parameters like a Wi-Fi module for real-time data processing by the camera at the video screen and IR sensor to trace intruders. Thus, the proposed system using Wi-Fi reduces errors at defense and keeps the nation secure from the foe.

Published by: Srividya C. R., Shreya Adiga H., Vaishnavi J. M., Harshitha H. R., Dipak Cumar V. C.Research Area: Electronics and Communication Engineering

Organisation: Global Academy of Technology, Bengaluru, KarnatakaKeywords: Artificially Intelligent Robot, Military Robot, Surveillance, Raspberry Pi, Face Recognition System

Research Paper

163. Evolution of research collaboration in Indian automobile industry– A Scientometric Analysis with Reference to SIAT during 2001 to 2017

The objective of this research paper on research productivity in the Indian Automotive Industry is to present the transformation of the research community of the Indian automotive Industry in a progressively responsible way, with reference to SIAT conferences held so far. It reveals the dynamic nature of automotive research in the country. The exhibit's research outcome is dominated by specific domains and specific organizations in a dynamic way. It is also elaborating the countries and scientists preferred to collaborate with and their impact on the Indian automotive Industry.

Published by: Joshi Ashutosh Gopal, S. Santhosh, E. PriyanResearch Area: Library and Information Science

Organisation: Mahindra Research Valley, Chengalpattu, Tamil NaduKeywords: Siat, Indian Automotive Industry, Research Publications, Technical Paper, Scientometrics

Technical Notes

164. Discovery of Acoustify

Acoustify app is an app that is used to achieve this objective. With the Acoustify app, we can extract the streaming URLs embedded in a particular website using the URL of that website. By this, we can get the audio streamable URLs from that website, which can be processed further for enhancement of the user’s listening experience.

Published by: Babitha Shetty K., Dr. Surendra ShettyResearch Area: Computer Science

Organisation: N. M. A. M. Institute of Technology, Nitte, KarnatakaKeywords: Streamable URL, Acoustify App

Research Paper

165. Car resale value prediction

India is one of the biggest automobile markets. All over the globe every day many buyers tend to sell their cars after using them for few years. cars24.com, cardekho.com, and OLX.com provide buyers and sellers with an online platform where they can sell and buy used cars. But what should be the price of the car, this is the biggest question ever. Machine Learning algorithms can provide a solution to this problem. Using the history of previously used cars selling data and machine learning techniques such as Supervised Learning we can predict the price of the car. Here the machine learning algorithms such as Random Forest and Extra Tree Regression are used to predict the selling price of the used cars. The result has shown that both algorithms are highly accurate in prediction even the dataset is large or small, irrespective of the size of the dataset they give a precise result.

Published by: Navaneeth M., I. S. Manoj Kumar, Dharshan N., Gavini Hitesh, H. K. VedamurthyResearch Area: Computer Science and Engineering

Organisation: Siddaganga Institute of Technology,Tumkur, KarnatakaKeywords: Car, Price, Prediction, Machine Learning, Random Forest, ExtraTreeRegression


166. Lantana camara: Conversion from soil destructor to constructive approach with green nanoparticles

Lantana camara is considered to be a voracious and poisonous weed, as it spreads rapidly and chocks the native vegetation, spoils animal habitats, biodiversity, leads to shortage of fodder for herbivores, and exerts toxic effects when ingested by livestock, hence L. camara is regularly eradicated by the villagers.The present study was carried out to assses the Hazardous effect of Lantana camara on soil microflora. It is clear from results that Lantana camara possess adverse effect on soil microflora & thereby decreases fertility of nearby soil. The bare land development is final cause of growth of Lantana camara plant on waste / agriculture land . As we know presence of microbial population and their activity in soil is directly proportional to the fertility of soil. In cities & villages Lantana camara is growing in uncontrolled way on waste land and so that it also affect agriculture land via seed migration , resultate into the decrease in soil fertility of agriculture land. On the basis of our study we can suggest that Lantana camara plant growth should be controlled in village,cities & in agriculture land. However, present study advocates its uses by pharmaceutical industries for preparing plant-based antimicrobials drugs in addition to fungal nanoparticles, rather than to throw the eradicated plants as garbage.

Published by: Anmol Sidana, Mamta GokhaleResearch Area: Microbiology

Organisation: St. Aloysius College, Jabalpur, Madhya PradeshKeywords: Antimicrobials Drugs, Fungal Nanoparticle, Lantana Camara, Soil Fertility, Soil Microflora, Spoil Biodiversity, Toxic Effects, Weed.

Research Paper

167. Fabrication of flexography machine with heterogeneous operating modes

A commercial enterprise is important in an Indian financial system, it should give quality products to the consumers with cost-effectiveness. Now a day’s print-on-demand is playing a prominent role within the print industry. Cost per copy is high for printing short-run jobs in conventional flexo printing machines, which are largely supported design and construction, and these are best suitable for production. to beat these problems, fabricating one color mini flexo machine which may be a manual machine, no power supply is given to run the unit of measurement and with fewer sub-systems (Unwinder, unit of measurement, drying unit, and Rewinder). As flexographic inks are liquid inks that need a dryer to calm down the ink permanently on the substrate, so using Two twenty V A.C supplies for the drying unit alone. Therefore cost are going to be reduced for printed electronics, print-on-demand purposes.

Published by: B. N. Durga, D. Sowjanya, R. Abitha, N. Alagu Sundari, R. VivekaResearch Area: Printing and Mechanical

Organisation: Avinashilingam University, Coimbatore, Tamil NaduKeywords: Print-on-Demand, Printed Electronics, Cost Effectiveness, Heterogeneous Operating Modes

Review Paper

168. What happens in the top athletes mind? a review study

During the last decades by the inception of Neuroscience and increasing experimental researches on catecholamine neurotransmission, the importance of Dopamine has been raised more than past. Dopamine is a crucial neurotransmitter with precursors (biosynthesis) –tyrosine, L-DOPA that is implicated in many neuropsychological disorders. Dopamine functions are also has engaged in body movement and as well it has a role in eye movements. Dopamine also has a role in cognitive and enhances visuomotor tasks such as playing baseball games via training by strobospectacle. Therefore, in this article, we explain its role and its architecture (i.e. receptors, basal ganglia, and striatum and their pathways). , and its role in influencing saccade and pursuit eye movements. Finally, we try to answer the main question how do strobotraining affect brain dopamine levels and coordination of athletes' movements?

Published by: Sayed Abulqasem Baqeri, Parastou Kordestani-Moghadam, Henk Koppelaar, Abbas Ali Ramuzi, Gijs Segers, Sayed Mohammad BaqeriResearch Area: Neuroscience

Organisation: Kateb University, Kabul, AfghanistanKeywords: Dopamine, Saccade, Stroboscope Training, Visuo-Motor Skill

Review Paper

169. Analysis of bank telemarketing data using Microsoft Azure machine learning

predict customers' responses to future marketing campaigns & increase the effectiveness of the bank's telemarketing campaign Here in this paper we will empower the bank to foster a more granular comprehension of its client base, foresee clients' reaction to its selling crusade and build up an objective client profile for future advertising plans. By investigating client highlights, like socioeconomics and exchange history, the bank will actually want to anticipate client saving practices and recognize which sort of clients is bound to set aside term installments. The bank would then be able to zero in its promoting endeavors on those clients. This won't just permit the bank to get stores all the more successfully yet in addition increment consumer loyalty by decreasing unwanted ads for specific clients.

Published by: Jaswanth Kankanala, Sravya Sri V., Venkatesh narahariResearch Area: Data Science

Organisation: MODAK, Analytics, Gachibowli, TelanganaKeywords: Bank Marketing, Telemarketing, Machine learning, Logistic regression

Research Paper

170. Design and fabrication of jig for angular drilling

In drilling process the tool and work piece both are perpendicular to each other means the drilling axis parallel and horizontal to machine axis, but in Vertical machine centre (VMC) the radial and angular drilling is easy task but in small machine shop and workshop we can not afford the VMC machines. For that we are trying to design and fabrication a fixture for angular drilling. This proposed method has to design and fabricate the Multipurpose Jig and Fixture, for that component Which has been to reduce the manufacturing cycle time

Published by: Atharv Ajay Chikurdekar, Swaraj Suraj Pawar, Yash Sanjay Khulkarni, Shubham Dattatraya Mali, Kalyani Sudhir KulkarniResearch Area: Mechanical Engineering

Organisation: Rajarambapu Institute of Technology, Islampur, MaharashtraKeywords: Jig, Vertical Machine Centre

Research Paper

171. Campus Buddy

Every institute needs a place where everyone of their institute can communicate with each other so that while sharing some important information/data no one should be left behind. Thus, Making a web application and stand-alone application which can be used by every member of that education institute to get updated about institute activity and can share his/her opinion if required. Thus, binding everyone under one platform gives institute more boost and coordination among its members. Our Automation is accomplished through the medium of a Website and smart phone application. The front end of this system is built with Bootstrap. Bootstrap is the most popular HTML, CSS and JS framework which scales the website and application with a single code base, from phones to tablets to desktops with CSS media queries. The back end of this system is built with firebase. Fast, flexible and pragmatic, JAVA SCRIPT is a server scripting language that empowers some of the most popular websites. FIREBASE is the most popular database system used with JavaScript for storing information categorically. The whole project is also featured with the firebase services such as authentication, database, storage, hosting , messaging, etc.

Published by: Biswajit Sahoo, Bhagat Singh, Mishra Anupam Mukundkumar, Atul Singh, Abhijit DasResearch Area: Web And Software Development

Organisation: Sai Vidya Institute of TechnologyKeywords: Timetable generation ,Attendance record, Academic record, Finance details, Passing of circulars.

Research Paper

172. House Price Prediction using Machine Learning

Machine learning plays a major role in past years in image detection, spam reorganization, normal speech command, product recommendation, and medical diagnosis. Present machine learning algorithm helps in enhancing security alerts, ensuring public safety, and improve medical enhancements. Machine learning system also provides better customer service and safer automobile systems. Designing an effective machine learning model for the prediction of regression and classification problems is a tedious endeavor. Significant time and expertise are needed to customize the model for a specific problem. A significant way to reduce the complicated design is by using Automated Machine Learning (AML) that can intelligently optimize the best pipeline suitable for a problem or dataset. This study utilizes machine learning algorithms as a research method that develops housing price-prediction models. In that point, a housing cost prediction model to support a house vendor or a real estate agent for better information based on the valuation of the house is recommended.

Published by: Mayur Manohar Patil, Bhushan Ramkrushna Upasani, Anup Sanjay Patil, Janhavi Kailas Chaudhari, Priti R. SharmaResearch Area: Computer Engineering

Organisation: Shrama Sadhana Bombay Trust's College of Engineering and Technology, Jalgaon, MaharashtraKeywords: Machine Learning, Automated Machine Learning

Research Paper

173. COVID-19 cases detection using deep neural networks with X-Ray images

Mysterious sickness with flu-like signs became first located in Wuhan town of China. This sickness became resulting from extreme acute respiration syndrome coronavirus 2 (SARSCoV-2). Covid-19 introduced havoc internationally affecting each public fitness and the economy globally. And inflicting the biggest worldwide recession because of the Great Depression. With the fundamental replica variety (R0) ranging from 2-2.5, it's far vital to become aware of the effective instances and deal with them. There is a demand for auxiliary diagnostic tools. The information amassed the usage of the radiology imaging strategies offers exceptional data about the COVID-19 virus. Radiological photographs and superior synthetic intelligence(AI) strategies can work withinside the choice of a brief analysis of the infection. In this we examine, an automated version for COVID-19 detection the usage of chest X-ray photographs is rendered. The rendered version is advanced to cater stable diagnostics for binary category and multi-class category. Our version gave a category accuracy of 98.08 percentage for binary classes and 87.02 percentage for multi-magnificence instances. In our investigation, the Darknet version was used as a classifier for a YOLO (you only look once) real-time object identification system. We are using VGG-sixteen architecture and added filtering on every layer. Our version can be engaged to support radiologists withinside the preliminary screening, and also can be hired through cloud to immediately ​screen patients.

Published by: Dr. S. Usha, Anjali Rani, Aparna Singh, Khushi MathurResearch Area: Computer Science Engineering

Organisation: Rajarajeswari College of Engineering, Bengaluru, KarnatakaKeywords: COVID-19, Machine Learning, CNN

Case Study

174. Robotic arm to pick and place

Robotics has emerged as a more important area in the current technological era. When compared to human labor, robots are more precise. This study presents a method for replicating a human arm by using a smartphone to operate it. A robotic arm is a mechanical device that has been programmed to carry out certain activities. This paper describes the creation of a robotic arm that can pick and place objects and is controlled through Bluetooth. The Android application serves as a transmitter, sending commands to the receiver to control the robotic arm’s movement. The Bluetooth module establishes a connection between the phone and the robotic arm. After linking the robotic arm with the smartphone’s Bluetooth, different moments of the robotic arm may be controlled with a single tap on the android application.

Published by: Sai Krishna Aitha, Y. Deepthi Reddy, P. Mani KumarResearch Area: Technology

Organisation: Sreenidhi Institution of Science and Technology, Hyderabad, TelanganaKeywords: 3D Printing, Bluetooth, Degrees of Freedom, End-Effector, Robotic ARM

Research Paper


Excavators are increasingly being equipped with guiding and automation systems on modern building sites. Recent research has focused on comparing the bucket tip estimation results with the motion measuring method of the boom, stick, and bucket, as well as sensor selection. The method of measuring the cylinder length of the boom, stick, and bucket, as well as the method of measuring the cylinder length of the boom, stick, and bucket, were chosen for this study. The methods of measuring the cylinder length of the boom, stick, and bucket, as well as the method of directly measuring the boom, arm, and bucket, were chosen for this study. These methods are commonly used in guidance and automation systems. To apply the aforesaid methods to a commercial excavator, a low-cost sensor that can be mounted and detached in a modular manner was used. KS best fit predictive test has been conducted for predictive positioning .A default data sheet has been acquired. The entire model was prototyped and designed over a CAD model presented in Solid works.

Published by: Arko Banerjee, Sahil YadavResearch Area: MECHANICAL ENGINEERING

Organisation: TECHANALOGY, Mumbai, MaharashtraKeywords: ndustrial Excavator, Shovel Positioning, inertial measurement unit, Wire drawn Sensor,KS best fit test, Solid works, Path projection

Research Paper

176. Design and Development of Gas detection alert with SMS using Arduino

The idea behind our project is to give a solution by power cut the gas provision as soon as a gas leakage is perceived apart from activating the sounding alarm. In addition to this, the authorized person will receive a message informing him about the leakage.

Published by: Pooja Dnyaneshwar Lambatkar, Kajal Ravikant Chavan, Tejashwini Atmaram Salunkhe, Dipali Maruti Pachangane, Vaishnavi Sunil MohiteResearch Area: Applied Science

Organisation: Yashoda Technical Campus, Satara, MaharashtraKeywords: Arduino, GSM module, LCD display, Arduino IDE

Research Paper

177. Bikers Portal

This is an online Bike and bike parts store that has listings of various bike along with their features. It also consists of Bike service Registration. This system allows user to buy bike, bike parts and inventory online. System allow user to check various articles submitted by user and even comment on them. Credit card payment facility is available. This system also consists of ‘Rent a Bike’ feature where user can ask admin for bike on rent. The visitor who visits the system must register himself by filling up personal details. After registration user can login to the system with his username and password in order to access the system. User can check various bike listing and can view each bikes feature. User can also check the features of the bike as well as inventory parts, and accessories. User may select the product and can add the product to shopping cart. User can make payment through credit cards by clicking on credit card payment option. User must register himself for posting an article. This application is a combination of both sales and inventory management of the bike and bike parts. User can easily purchase bike or bike parts by using this system user does not have to come manually to shop to purchase the product. He can view the bike and bike parts in effective Graphical User Interface. User can view features of each product and can compare the products in order to purchase a better product.

Published by: Ankit Bougal, Abhishek S. K., Lakshminarayan, Chempavathy B.Research Area: Machine Learning, Java Script

Organisation: New Horizon College of Engineering, Bengaluru, KarnatakaKeywords: Online Bike and Bike Parts, Bike Service Registration, Rent a Bike.

Research Paper

178. Imperatives of AI in the classroom

Artificial Intelligence is a very vast field in computer science i.e intelligence in performing tasks that typically require human intelligence. This paper will describe how the education sector uses AI and how it will change the experience of learning for the student as well as for the teachers. The approach of the implementation of AI(Artificial Intelligence) on the education system. This paper also describes the AI technologies used in the education system and brings new changes and new platforms of learning and provides different standards of learning things. And how the education sector is readjusting AI technologies for a better learning experience.

Published by: Tanuja Anna, Deepansh PandeyResearch Area: AI

Organisation: Uttaranchal University, Dehradun, UttarakhandKeywords: Artificial Intelligence, Personalized Assistant, AI-Powered Assistants, Virtual Learning Environment

Research Paper

179. Design and implementation of All-Optical T-flip-flop using Photonic Crystals Waveguides

High-speed communication has a lot of limitations because of slow electronic components. As a solution to these limitations, optical components will be used for high switching speed, low power consumption and large bandwidth, instead of electrical components. We have developed a photonic crystal T-shaped waveguide design to implement T flip-flop. Utilizing optimized parameters such as silicon rod radius and refractive index, this design has been analysed and examined. To implement this structure, the optical interference effect is utilized at a wavelength of 1550 nanometers. This design operates at the refractive index of 3.46 and silicon rod radius of 0.114, giving the best output value with an 14.78dB contrast ratio. Using Finite Difference Time Domain (FDTD) and plane wave expansion, the designed flipflop is simulated

Published by: D. Gowri Sankar Rao, P. Rupa Anjali, M. V. V. Satya Sai, Haridasu AnkaraoResearch Area: Electronics And Communication Engineeringa

Organisation: Godavari Institute of Engineering and Technology, Rajahmundry, Andhra PradeshKeywords: Photonic Crystal Waveguides, All-Optical T flip-flop, Beam Interference Principle, FDTD Method, T-shaped waveguides

Research Paper

180. Laboratory investigation on bituminous concrete mixture properties by modifying bitumen using waste plastic flakes

This paper presents the results of a laboratory study on how effectively the plastic waste could be utilized in bituminous concrete course to improve the properties of bituminous mixture. It has been shows that the addition of plastic waste flakes results in the improved Marshall Stabilities and flow value. The OBC for plain bitumen mixture was 5.33, while for plastic blended bituminous mixture for (i.e., bitumen+ plastic) 80%+20%, 60%+40% and 40%+60% was 6.67, 6.00 and 5.50 respectively. For all mix maximum stability, minimum flow, mean air voids and mean voids filled with bitumen were determined. It was observed that 80% Bitumen+20% Plastic blended mixture has shown very good increased stability value of 48% increase when compared to reference bitumen mixture. The overall result shows that, Marshall Stability value has increased with bitumen mixture modified with plastic waste and the flow value has decreased.

Published by: Supriya C. B., Prakash J., B. H. Manjunath, T. V. MalleshResearch Area: Civil Engineering

Organisation: Sri Siddhartha Institute of Technology, SSAHE University, Tumkur, KarnatakaKeywords: Flow, HMA-Hot Mix Asphalt, Marshall Stabilities, OBC-Optimum Bitumen Content, Plastic Waste Flakes

Research Paper

181. Network packet sniffing

Packet sniffing is a technique for tapping each packet as it streams across the organization. It is a method in which a client sniffs information having a place with different clients of the organization. It is successful in both exchanged organizations and non-exchanged organizations. Packet sniffers can work as an authoritative apparatus or for vindictive purposes. It relies upon the client's goal. This paper examines how sniffing can be done if there should arise an occurrence of the center point and exchanged organization, different packet sniffing strategies, various techniques that AntiSniff uses to identify these sniffing programs are additionally talked about.

Published by: Md Haroon, Dr. Ramveer Singh, Vishant Sharma, Lakshya Kaushik, Alok Kumar MishraResearch Area: Information Technology

Organisation: GNIOT Group of Institutions, Greater Noida, Uttar PradeshKeywords: Packet, Sniffing, Antisniff, Network, Traffic, Analyzer, ARP, Hubbing

Research Paper

182. Breast Cancer Prediction using Machine Learning model

Day by day the number of cancer cases around the world is increasing and it has become a common health issue. One of the most commonly seen cancer is Breast cancer. It has become one of the leading causes of death. in women Breast cancer can be mainly seen in women, but it can be seen in men too. There is a belief that men cannot get breast cancer, but it is not true. Cancer can be treated only if it is detected in the initial stages, if not then it will spread to various parts of the body and its effect is irreversible and it will cause a threat to life. But most of the time it is difficult to detect cancer and also sometimes people ignore the symptoms. In this matter, artificial intelligence can be of great help. Here we have collected a set and then we have built a prediction model to detect stroke based on the different algorithms that are available on machine learning.

Published by: Sanath Kumar A.Research Area: Computer Science

Organisation: N. M. A. M. Institute of Technology, Nitte, Karkala, KarnatakaKeywords: Breast Cancer, Machine Learning Model

Research Paper

183. Imbalanced data handling using Machine Learning

Machine learning algorithm applications still control Internet trade with their seemingly endless options for customization. Great fast data is continuously passed through socially important forecasts to improve online shopping. In the absence of analytical instruments to manage homogeneous data sets and outlines, unforeseen occurrences of data known as imbalanced data are unfortunately still overlooked. Rare cases of substance use are therefore still ignored, causing costly losses or even tragic circumstances. A number of methods have been successfully implemented to meet this challenge over the past 10 years. In many cases, however, there are significant disadvantages due to the non-uniformity of the relevant data when used for diverse application domains.

Published by: Kamal Raj T., Bhavana K., Chandana M. R.Research Area: Machine Learning

Organisation: Rajarajeswari College of Engineering, Bengaluru, KarnatakaKeywords: System Testing, System Architecture, Existing System, Proposed System

Research Paper

184. Design of wheel rim by using design of experiments

There are many failures that occurred such as Defects occurred during manufacturing, Initiation of Crack, over-tightening of bolts, and Corrosion. Some of the people have used FEM methods in their Research. They all have worked only on the negative offset and zero offset wheel rims. In this paper, we are focusing more on the positive offset wheel rim as they consume less material as compared to negative offset and positive offset wheel rims. In this paper, we know the natural frequency and deformation of the original rim and we are going to design more than 2-3 designs for the wheel rim. Using those designs and analysis types such as Static, Modal, and mainly the Design of experiments we are going to produce the alternate design for the wheel rim which will be more sustainable and lesser in cost.

Published by: Mauli Vasant Jadhav, V.C.MALIResearch Area: Engineering

Organisation: Padmabhooshan Vasantdada Patil Institute of Technology (PVPIT), Pune, MaharashtraKeywords: FEM Methods, Wheel Rim

Research Paper

185. Soil quality monitoring, automated irrigation system using machine learning and Blynk

India Ranks the second country in the world in farm output of 64% of cultivated land which depends on monsoons. Irrigation accounts for Fifty-five to seventy-five percent of water usage In the World. Also, nearly sixty percent of this water while irrigation is wasted. So now we have to conserve the water by making use of soil moisture sensors resulting in smart water management Another is an issue is people always focus on the crop yield whereas before the crop yield the other process such as soil quality and soil fertility, which crop to be grown and what fertilizers needed plays a very important role in the yield of the crop. So in our project, we have focused on these factors such as irrigation, prediction for fertilizer, and which crop to be grown. This project takes real-time data from the deployed sensors such as temperature, moister, NPK and ph values into account and predicts the output in the IoT machine learning environment. The system implemented will be introduced to the semi-supervised learning model where we will be applying algorithms such as KNN and random forest and SVM to predict fertility and whereas for the crop along with this we have considered other factors such as season and place.

Published by: Kamal Raj T., Kavya G. S., Firdose Tabassum, Reddy Nagadurga, Keerthana Prakash NayakResearch Area: IoT and Machine Learning

Organisation: RajaRajeswari College of Engineering, Bengaluru, KarnatakaKeywords: IoT, Soil Fertility, PH Values, Microcontroller, Semi-Supervised Learning, Crop Prediction, Fertilizer Prediction Smart Water Management

Research Paper

186. Online interview based on facial expression

Facial expressions of humans carry more information visually than they do verbally. Human-machine interaction is a crucial part of facial expression recognition. The automated facial expression reputation system can be used for many purposes, including detection of intellectual issues and human behavior information. It is still difficult to recognize facial expressions using computers with high recognition charges. The most well-known techniques used in automatic FER systems are based on look and geometry. Normally, facial expression recognition works in four stages, which include preprocessing, face identification, Feature extraction, and Classification. We also used feature extraction and expression classification to identify the seven key human emotions.

Published by: Kamal Raj T., Sourav P Kachwahe, Tejas S., Shashank C., Sanjay H. S.Research Area: Computer Science

Organisation: Rajarajeswari College of Engineering, Bengaluru, KarnatakaKeywords: Haar Cascade, Face Detection, Recognition, Nice Face, Terrible Face

Research Paper

187. Computational Identification of Promoter Regions in Fungal Genomes

Transcription is the mechanism through which proteins are formed and it is done at the promoter regions. The structural property and the stability of DNA (Deoxyribonucleic Acid) are due to the promoters and these promoters are used to distinguish them from other genomic sequences. Genomic expression patterns were determined in the yeast S.cerevisiae in response to the environmental fluctuations. To measure these changes, DNA Microarrays were used. It is revealed that the yeast genome contains a TATA box. Those genes associated with the TATA box show response mainly to stress conditions.

Published by: Sudheer Menon, Shanmughavel Piramanagakam, Gopal AgarwalResearch Area: Genomics

Organisation: Bharathiar University, Coimbatore, Tamil NaduKeywords: Promoter regions, TATA box, Fungal genome, Promoters analysis, PPTase, Saccharomyces cerevisiae


188. A scholastic review of procedural methods undertaking in piloting qualitative interviews

This paper presents the essence of a pilot study being conducted by the researcher on qualitative research in relation to the study on the use of adaptive technology amongst visually impaired students at tertiary institutions in Malaysia. The researcher carried out the pilot work as a ground work prior to undertaking the large scale study and to answer methodological question (Creswell & Poth, 2017). The definitive description and valuable operational functions of pilot studies in qualitative research studies are distinctly identified. Also, to outline the advantages of pilot work, it explicates the particular viable and methodological concerns appearing in the pilot exercise together with the amendments made for the main research study, as a result of the pilot work. This article describes four ways that proved the implementation of the pilot study is crucial. They are (i) finding obstacles and problems with regards to recruiting prospective participants, (ii) the Employing empathy techniques in which researcher is able to describe the experience from the participants’ angle as well as engage himself from a phenomenological perspective, (iii)reflecting the essence of the research process such as the interviews, epoche and transcribing process, alongside its difficulty in carrying out phenomenological inquiry, and (iv) amending interview questions accordingly. It is, therefore, a useful and a fundamental part to undertake the Pilot study for interview in the course of carrying out qualitative research as it identifies the weaknesses and flaws prior to the full scale research study. This paper discusses the preponderance of pilot study, the methods procedural steps used and what educational aspects has the researcher gained during the course of the process.

Published by: Chow Sak ChinResearch Area: Special Education

Organisation: University Pendidikan Sultan Idris, Perak, MalaysiaKeywords: Qualitative, Pilot Study, Adaptive Technology, Visually Impaired, Interview

Research Paper

189. Advanced facial recognition attendance and behavioral feedback system

Manually maintaining an attendance system can be tedious and time-consuming. A smart, automated way to manage attendance can be created using biometrics. Facial recognition is just one example. The problems of proxies and fake attendance can be solved with this system. This system also helps overcome time wasted in calling attendance the traditional way. The previous attendance system that relied on face recognition was flawed. Face occlusion meant that some faces went unnoticed. Therefore, our system helps overcome these issues, makes the system more reliable and useful with various techniques like People Counter and Behaviour Analysis. The detection and recognition of faces are the two most important processes in this system. Following that, crosschecking the detected faces against the database of student's faces can be done. This smart system will allow students to keep track of their attendance and records. It also helps institutions get feedback about a class and helps save time on surveys and questionnaires.

Published by: Shashidhar V., Amandeep Singh, Satyam Sahay, Shah Minhal Fida, Vishveshwar HiremathResearch Area: Image Processing

Organisation: Rajarajeswari College of Engineering, Bengaluru, KarnatakaKeywords: Facial Recognition, SVM, Facial Emotion Recognition, CNN


190. IoT based smart home Automation System using ARM7 LPC2148 & GSM/GPRS

The idea behind home automation is to have greater security, make people’s life easier and comfortable. In today’s life, IoT plays a vital role in automation, which offer people to control home appliances in a proficient manner over the internet by using the advanced communication technologies and automation system. The innovation in the electrical appliances industry that has introduced GPRS-enabled based home appliances in a market, which subsequently offers an alternative for implementing the automated smart home system at a reasonable cost. Considering the Energy management, security benefits of IoT, we have designed IoT-based collaborative affordable home automation and data gathering system to display the data on a web page using the internet via GPRS. The proposed system uses GSM or GPRS technology for controlling, monitoring home appliances & the atmosphere. The prototype is been implemented on ARM LPC2148 controller board, Relays, Bulbs, Motor, Sensors, and Embedded C.

Published by: Priya Khillare, Dr. L. K. RaghaResearch Area: IoT

Organisation: Terna Engineering College, Navi Mumbai, MaharashtraKeywords: HA, ARM LPC2148 Controller, GSM/GPRS, Embedded C Language

Research Paper

191. Real-Time Voice Command/Alert Warning System

The paper discussed vehicle safety devices where in-vehicle people will be getting notifications with the help of RTVCAWS. This could help the drive-in to take control of the car and provide voice notifications derived from the AI by using the Arduino IDE, it gives a remainder about multi aspects that may forget to remain in mind because of some urgency. This project concentrates on developing a voice alert notification about car conditions like what all the major things we want to know about radiator water coolant, brake fluid other turned on switches, voice commands for multiple operations and to get info of forwarding obstacles, it differs from the model of rear-end vehicle collision avoidance system that detects when obstacles are close enough to collide.

Published by: Sachin B. C., Dr. Srinidhi R.Research Area: Safety Devices

Organisation: JSS Science and Technology University, Mysuru, KarnatakaKeywords: Voice Command, Voice Alert, Arduino, Mishaps, Ultrasonic.

Research Paper

192. Bitcoin Price Prediction

In this Paper, Bitcoin Price is all focused is on, in recent times bitcoin has been one of the largest cryptocurrencies and if people are well known about the price of bitcoin in the near future then it may benefit many of them and keeping this in mind the price is predicted taking all the factors which affect bitcoin into consideration.

Published by: N. M. Abhishek, Thimmana Gowda M. U., Vidyananda Alur, Dr. Vinodha KResearch Area: Computer Science and Engineering

Organisation: New Horizon College of Engineering, Bengaluru, KarnatakaKeywords: Bitcoin, Decentralized System, Time Stamp.

Research Paper

193. Home Automation with Arduino Uno

The advancement in the field of technology provides innovative ways of doing work through various smart means. Automation is one such mind-blowing technology which is revolutionizing the present and future generation. In this paper we present a home automation system using Arduino uno and Bluetooth module and also the home appliances area unit connected to the input/output ports of the board through relays. The communication between the mobile phone and the Arduino is through hc 05 Bluetooth module which is low-cost, safe, fast and scalable technique permitting the user with remote control of various lights and appliances within their home.

Published by: Prakruthi S. H., Pooja S., Sheetal N. GowdaResearch Area: Electronics and Communication

Organisation: Independent ResearcherKeywords: Automation, Arduino Uno, Bluetooth module

Research Paper

194. Demand assessment of electric vehicles in public transport: A case of NDMC Area

The hypothesis states that the DTC buses do not suffice the need of passengers in Delhi. A few reports suggest that by 2025 all the buses from DTC might run out. At current only 3760 buses are running, which are in a dilapidated condition. The buses' condition and the average frequency of the buses are as high as 20.76 minutes. So, under the FAME scheme, NDMC has purchased 20 electric buses to run on a pilot project. So the objective of the study is to identify routes to run the electric buses in the NDMC area. The approach adopted was to perform boarding and alighting surveys at the selected bus stops in NDMC. To identify the passengers traveling within NDMC. Therefore, to identify the route for electric buses to ply on the most frequent route traveled by passengers.

Published by: VartikaResearch Area: Electric Vehicle

Organisation: AECOM India Private Limited, Gurugram, HaryanaKeywords: Electric Vehicles, Public Transport, Route identification, DTC Buses, Electric Buses

Research Paper

195. YOUCHAT: An End-to-End Secure Chat Application

A data security prototype needs to be developed through secret messages to disguise messages sent in the desktop chat application youChat. We propose a model to simulate the plaintext information first encrypted by a cryptographic system to replace the plaintext information with ciphertext. The plaintext or plaintext entered into the desktop system becomes ciphertext; the receiver can use a key similar to the sender to read the message. The weakness of this proposal is that the random message system is not directly placed in the chat application; therefore, a message is still needed to terminate the process from the password system to the YouChat application. The advantage of using this model is that the sent message will not be easily re-encrypted by hackers, and it can be used in the computing part of the client.

Published by: Prakash Kumar, Manoj Kumar Chaurasiya, Neelmani Keshav, Vikas Kumar, Vishwajeet JaiswalResearch Area: Information Technology

Organisation: Greater Noida Institute of Technology, Greater Noida, Uttar PradeshKeywords: Data Security, Secret Messages, Desktop Chat Application, Plaintext Information, Encrypted, Cryptographic System, Ciphertext

Research Paper

196. Building information modeling in green buildings

Building information modeling or shortly known as BIM is a procedure utilizing electronic patterns to assist Virtual Design Construction (VDC) that could be streamlining the progress of workflow to develop the performance of the construction. The use of BIM is to issue the features to the energy performance valuation and defensible estimation. This is called Green Building information modeling. Over the last few years, a BIM assumption has increased in many countries and cities. To investigate and to generate the efficiency of energy, BIM-based analyses of the energy can help the groups of the project design. A BIM-based strategy for green building may support the experts, in the result predictions of developments and to reduce its effect on the environment over the supply chains. The potentials of Green BIM are improved while useful facts with data were gathered then issued to facilities administrators including consumers of the building. The present paper described the main features of BIM, description of data needs, and innovations by using BIM. To upgrade the green buildings, other relevant technologies were also used.

Published by: Omar Ahmed KhanResearch Area: Civil Engineering

Organisation: Heriot-Watt University, Edinburgh, ScotlandKeywords: Building Information Modelling, Green Buildings

Research Paper

197. A systematic study of building information modeling and its associated concepts.

Construction projects involve the integration of various factors. The complex process and several aspects associated with building construction increase the demand for proper management. Building Information Modelling (BIM), comes as an aid and helps to control the technical and non-technical elements involved in the building construction process. It helps to design the features of the building, plan energy-effective mechanisms, making the building resilient to all sorts of natural disasters. Considering the efficiency of BIM, civil engineers started using this at the pre-construction, designing, planning stages and in most cases, it is used to control the entire life cycle of the project. BIM is used to design the entire process for the large-scale process while in the case of small-scale projects, it is only used to design a single or a couple of components. This study analyzes the research aspects related to BIM during 2010 -2021 and consolidates the broad research field under four categories to bet better insights.

Published by: Omar Ahmed KhanResearch Area: Civil Engineering

Organisation: R.V. College of Engineering, IndiaKeywords: Building Information Modelling,Energy-Effective Mechanisms

Research Paper

198. Building information modeling and data generation

In the industry of construction, projects are increasing more day by day and are also become complex in the methods of construction technologies which are considered as rapidly developing. The construction projects generated several different kinds of data. Particularly, many input resources are required by the construction phase and it generated a multiple set of data. When so many Information Technology techniques are established for the management of information at the phase of construction, it measured for creating the databases for such data and for linking the various kinds of data jointly are still inadequate. This research aims for suggesting the database system about construction data depend upon the technology of BIM for enabling management of data site generated at the phase of construction. This research analyzed the data generated at the site of construction and then the system of categorization to structure the generated data with a model of the database for structured information storing. By these efforts, confirmations are done that this system of the database is utilized for the accumulation and construction data. It is supposed that, later on, continuous accumulation and construction management data will be allowed for the accumulation of corporate-level knowledge which opposes the accumulation of individual level.

Published by: Omar Ahmed KhanResearch Area: Civil Engineering

Organisation: Heriot-Watt University, Edinburgh, ScotlandKeywords: Building Information Modelling, Construction Data

Research Paper

199. Software for implementing different dimensions of BIM in the construction project

Essentially standard set of building construction measures was reversed to the appropriate assignment program and arrangement for the proceeding project work at the construction site, which was bringing about imperfect observance for the complete cycle. The current investigation on the idea of Building Information Model (BIM) infers the objectives where whole data of each unique element of construction activity is incorporated basically. It helps the Constructors, Designers, and Engineers anticipating what should be created in the synthetic surroundings and to perceive potential plan, development, or operational issues. The system is expanded by BIM into drawings of 3 dimensional (3D) with three-dimensional depth (d), height(h), and width (b), with 4-dimensional time (4D), and with 5 dimensional (5D) time. For setting up the standard process, BIM displays a 5D model to save more amount and time. The project management activities are executed using the concept of BIM is presented in this paper. The BIM apparatus is to help particularly for configuration, characterizing the building capacity and structure, look over the expenses, execution of energy, and timing. Hence BIM is a construction management device

Published by: Omar Ahmed KhanResearch Area: Civil Engineering

Organisation: Heriot-Watt University, Edinburgh, ScotlandKeywords: Visualization, BIM, REVIT, Navisworks Manage, Microsoft Project, 5D

Research Paper

200. Coalitions politics in India: Challenges and its impacts on society

In comparison to other countries, India is pigeonholed by more ethnic and religious groups. Many thinkers regard India as a fascinating place where people of all communities and religions coexist together. The Indian population is polygenetic, with a fascinating mix of ethnicities and civilizations. There are eight "main" faiths, 15 languages spoken in diverse dialects, and a large number of tribes and sects, in addition to multiple castes. How does the coalition government affect the responsiveness of coalition parties to voters? We want to learn more about the relationship between political parties' participation in multiparty governments in this essay as well as their voter receptivity We propose that the divisiveness of policy problems inside the cabinet, as well as ministerial responsibility for policies, influence the amount to which coalition parties respond to voters' policy priorities. To test our hypotheses, we combine data from the Comparative Manifestos Project on issue attention of 55 coalition parties with data on government composition and voter policy priorities from the Comparative Study of Electoral Systems and various election studies from 1972 to 2011 in 45 elections across 16 European countries. Any party can win a majority in the lower house; if they do not, political parties create coalitions in order to secure a majority in the lower house and form a government. The nature, problems, and prospects of coalition governments in the Indian political process will be examined in this research paper. The study of the multi-party system, the emergence of regionalism, and its impact on the pattern of Centre-State interactions are important. Furthermore, because the national government was led by a coalition or minority administration for three decades, from 1989 to 2014, there was no national consensus on a parliamentary majority. Congress ruled from 1952 to 1977 and 1980 to 1989.

Published by: Dr. Ashok Kumar V. PaledResearch Area: Social Science

Organisation: Davanagere University, Tholahunase, KarnatakaKeywords: Politics, Growth Of Regionalism, Challenges, Election, Society

Research Paper

201. Study of seismic response between fixed and isolated bases in RC structure having plan irregularity

The base isolation technique is one of the most widely used earthquake-resistant methods in designing structures. In this study, a G+15 RC structure is considered and modeled for the fixed base and isolated bases i.e., Lead Rubber Bearing (LRB) and High Damping Rubber Bearing (HDRB) using Etabs v19.1.0. The models are then analyzed and the seismic response of the structure is obtained by using equivalent static method and response spectrum method. The results, thus, obtained are compared and graphs of story displacement, story drift, storey shear, and storey acceleration are plotted for the fixed base and isolated bases. From this study, it is evident from the analysis that, the use of base isolation systems helps the structure from being majorly damaged, especially in higher seismic zones.

Published by: Rahul B. M., B. Suguna RaoResearch Area: Structural Engineering

Organisation: Ramaiah Institute of Technology, Bengaluru, KarnatakaKeywords: Lead Rubber Bearing (LRB), High Damping Rubber Bearing (HDRB), Storey Displacement, Storey Drift, Storey Shear, Storey Acceleration

Research Paper

202. Browsing Issues in Large Displays

The internet access is increasingly shifting from the traditional desktop displays to high-resolution giant screen displays. While websites are not optimized for such giant screens, it often delivers a distorted, disconnected and annoying user experience. The challenge in a large display is related to content scaling and placing them on the predictable places to gain visibility. There is a limited research done in this area and we attempted a series of studies in establishing the challenges a user faces while browsing on a large display. We conducted 3 independent pilot studies to understand the problem and discussed the need to create web design guidelines for large displays.

Published by: Alipta BallavResearch Area: Human Computer Interaction

Organisation: Independent ResearcherKeywords: User Centered Design Issues; Large Displays; User experience guidelines

Research Paper

203. Correlation of neck pain and low back pain with Physical activity among dentists in Latur City

BACKGROUND: Back pain represents one of the most common diseases across various populations of workers worldwide. Musculoskeletal pain is related with dental practice, with lower back pain being the most commonly reported. This study analyzes the correlation and the severity of back pain, based on selected demographic variables, and relationship with physical activity among dentists. There is a substantial relationship between work-related back pain and sitting posture. No association was found between sex and existence of pain. METHODOLOGY: The study included 100 professionally active dentists,38 males 62 females, from MIDSR dental college and dental clinics in Latur city. Validated psychometric tools, namely;1) for evaluation of disability due to neck pain and back pain-neck disability index [NDI], oswestry disability index[ODI] respectively,2) for physical activity – international physical activity questionnaire[IPAQ] were used. CONCLUSION: The study findings confirm that the pain in neck and lumbar area represents a serious occupational problem in a large percentage of dentists. Limitation of physical activity leads to more frequent back pain.

Published by: Dr. Pallavi Dangat, Dr. Rafi Mohammed, Dr. Shyam JungadeResearch Area: Physiotherapy

Organisation: MIP College of Physiotherapy, Latur, MaharashtraKeywords: Dentists, Physical Activity, Back Pain, Neck Pain

Research Paper

204. Knowledge and perception on COVID vaccination among adults

COVID is a devastating pandemic that we haven't dreamed of it in 21 st century. Being in this era, man couldn’t able to control its spread despite various researches and advanced technologies. At present, vaccines are the most effective means of health measures to protect the public from the pandemic. The present study is carried out to assess the knowledge and perception of Covid vaccination among adults. A Quantitative research approach with a descriptive design was adopted in this study. A structured knowledge questionnaire and 5-point Likert scale to assess perception on Covid vaccination are used to assess the knowledge and perception on Covid vaccination. The findings reveal that 54 % of participants had moderate knowledge, 33% had adequate knowledge and 13 % of them had inadequate knowledge on Covid vaccination. Regarding perception, 35% of the participants had medium perception, 27% of them had high perception, 29% of them had very high perception, 9% had low perception on Covid vaccination. A positive relationship (r=0.87, -1 r  1)had been found between knowledge and perception on covid vaccination. Adequate awareness regarding covid vaccination among rural areas helps to improve the acceptance rate and thereby pandemics can be kept under control.

Published by: Starina Flower V. M., Dr. Reena Evency A.Research Area: Nursing

Organisation: St. Xavier's Catholic College of Nursing, Nagercoil, Tamil NaduKeywords: Knowledge, Perception, Covid Vaccination

Research Paper

205. Study on dimensional stones available in Southern Asia with specific reference to granite waste

Dimensional stones are used primarily in buildings and construction industry. Almost all the buildings exhibit stones that are shaped, cut or polished for the walls, floors, columns and steps. There are a large number of dimensional stones available in southern Asia such as sandstone, slate, marble, granite, gneiss, etc. which produces huge amount of waste in their manufacturing, cutting and polishing. This waste is dumped in the fields openly and it causes major environmental problems such as land infertility, loss of land infiltration, air pollution, problem in breathing, etc. India has large reserves of granite and huge amount of waste is produced that’s why we have worked on granite specifically. Granite is a coarse grained rock composed mostly of quartz, alkali, feldspar and plagioclase. Green granite is hard enough to resist abrasion, strong enough to bear significant weight, inert enough to resist weathering and it accepts a brilliant polish. Granite is an igneous volcanic rock having good compressive strength and it has always been used in the concrete as a replacement for fine aggregate. But in this research, we have replaced the granite with the cementitious material that is, the cement. For this, we have replaced the granite with cement by 0%, 5%, 10% and 15%. Detailed study has been done to investigate the fresh, mechanical and physical properties of granite waste powder, the compatibility of use of granite waste powder in concrete. Analysis of the fresh, mechanical and physical properties of concrete mixes designed with different mix proportioning quantities with the use of granite waste powder as a cementitious material.

Published by: Mayur Mewara, Mansi Agarwalla, Madhu Yadav, Dr. Harshwardan Singh ChouhanResearch Area: Civil Engineering

Organisation: Poornima College of Engineering, Jaipur, RajasthanKeywords: Dimensional Stones, Granite, Granite Waste, Concrete Mix Design, Partial Replacement, Cementitious Material

Research Paper

206. A lightweight Remote user Authentication Scheme for IoT communication using Elliptic Curve Cryptography

Internet of Things (IoT) has become a new era of communication technology for performing information exchange. With the immense increment of usage of smart devices, IOT services become more accessible. To perform secure transmission of data between IOT network and remote user, mutual authentication, and session key negotiation play a key role. User authentication is becoming crucial in accelerating the environment of internet of things (IOT).It is mostly used in several applications in management of surveillance, healthcare, security etc. In this project, the proposed model is based on ECC-based three-factor remote user authentication scheme that runs in the smart device and preserves privacy, and data confidentiality while communicating with the user.This model establishes a secure session between the user node and IOT node.Here three-factor authentication is performed between the remote user and the gateway as well as between the gateway and sensor node. ECC is a public key encryption technique based on an elliptic curve theory, in this model ECC is used to generate public key and private key at user, gateway and smart device and it is also conjunction with public key encryption techniques like ECDSA algorithm used to perform mutual authentication through digital signatures, ECDH used to create faster, smaller and more efficient symmetric keys in order to provide secure session environment. Finally, the computation and communication overheads of the proposed scheme are reduced to maximum extent to confirm that the proposed scheme is lightweight and secure. We prove the security strength of our proposed system using formal security analysis tool called AVISPA simulation tool. On implementing this tool, it determines that the proposed model is robust with holding various security threats like all active, passive attacks and then confirms its security in the presence of an intruder. It is found that our model holds all the security functionalities. Therefore, it can be concluded that the proposed scheme is secure against relevant existing security attacks and provides security.

Published by: Gudiwada Rajeswari, Pilla Anuradha, Suma Varada, Sireesha Mallula, Dr. Esther Sunanda Bandaru, D. SowjanyaResearch Area: Cryptography

Organisation: Andhra University College of Engineering for Women, Visakhapatnam, Andhra PradeshKeywords: Elliptic Curve Cryptography (ECE) for Private key and Public key generation, Elliptic Curve Discrete Logarithm Problem for Random Elliptic Curve point Generation, Elliptic Curve Digital Signature Algorithm (ECDSA) for Mutual Authentication, Elliptic Curve Diffie-Hellmen(ECDH) for Symmetric Key Generation, Advanced Encryption Standard Algorithm For Encryption/Decryption Secure Hash Function (SHA256) for one-way hashing, User datagram protocol for communication.

Research Paper

207. BIM applications in risk management

Risk Management at the Architecture, Engineering, and Construction (AEC) manufacture is a global problem. The inability to overseen hazards isn't only lead to tasks while gathering project objectives additionally arranging the land-use impacts and further planning the metropolitan spatial plan later on for the urban area development. Due to quick advancement and the BIM-related computerized advances and BIM (Building Information Modelling) selection, and then the hazard management innovation utilization becomes a develop and examination of prompting pattern of interest to an intensive review of the development. This paper provided the overview of conventional risk management, with a complete and broad survey of distributed writing concerning the most recent endeavors of overseeing hazard utilizing innovations, like BIM, programmed rule checking, information-based frameworks, proactive and receptive IT (data innovation)- based security frameworks. The discoveries show that BIM was not only just be used to help the venture advancement measure as a planned risk management apparatus, however, performing further risk analysis instruments based on BIM was permitted. The greater part of the current endeavours have focused on enquiring specialized turns of events, and the administration of development staff security was the primary interest up until this point. In light of existing specialized constraints and the absence of ''human factor" examinations, BIM-based hazard management is not regularly utilized in genuine conditions. To survive this hole, future exploration is recommended that ought to be: (1) having a multi-disciplinary framework of thinking, (2) investigating execution techniques and cycles, (3) incorporate conventional management of risk with new advances, and (4) supporting the improvement interaction.

Published by: Omar Ahmed KhanResearch Area: Civil Engineering

Organisation: Heriot-Watt University, Edinburgh, ScotlandKeywords: Computerized Advances, BIM, Risk Management, Construction Safety Traditional Risk Management

Research Paper

208. A State-of-the-Art Review on Differential Evolution (DE)

Proposing new mutation strategies and adjusting control parameters to improve the optimization performance of differential evolution (DE) are considered vital research studies. Therefore, in this paper, a short review of the most significant contributions on parameter adaptation and developed mutation strategies is presented.

Published by: Sanchari Majumdar, Sangita RoyResearch Area: Bio Inspired Algorithms

Organisation: Narula Institute of Technology, Kolkata, West BengalKeywords: Evolutionary Computation, Global Optimization, Differential Evolution, Mutation Strategy, Adaptive Parameter Control

Research Paper

209. Traumatic brain injury during covid lockdown and relaxation of lockdown comparative study

Road traffic accidents are the common cause of traumatic brain injury in civilian population covid lockdown had decreased head injury cases treated in a tertiary care center because of decreased traffic materials and methods traumatic head injury patients admitted in madras medical college during covid lockdown is compared with patients admitted after relaxation of lockdown by retrospective analysis.

Published by: Raj Kumar R.Research Area: Medical

Organisation: Madras Medical College, Chennai, Tamil NaduKeywords: Covid Lockdown, Head Injury, Madras Medical College, Road Traffic Accident, Traumatic Brain Injury

Research Paper

210. Multiplier and dual multiplier on BCC/weak BCC algebras

Presenting some significant properties of multiplier and dual multiplier defined on BCC/Weak BCC algebras.

Published by: Arbind Prakash, Dr. Ram Lakhan PrasadResearch Area: Computer Science

Organisation: Magadh University , Bodhgaya , Gaya (Bihar)Keywords: BCC/Weak BCC Algebra, Multiplier, Dual Multiplier

Research Paper

211. Microfinance -Succeed in influencing unbanked area

India’s limited success at drawing the unbanked into the formal economy reflects the challenges of drafting public policies that address complex, enduring societal problems like poverty, income inequalities, beneficiaries far away from financial services including Govt. schemes benefits, low level of financial literacy., etc. The vision of RBI Financial Inclusion Plans(FIPs) is providing universal access to banking services and improving the forms of credit delivery, especially for the weaker sections. The successful financial inclusion plan is Business Correspondents are employed to cover unbanked villages through branches. The microfinance sector is the heart core function of financial services in the non-banking finance industry(NBFI) with the coverage of weaker sections of the population which are neglected by bankers in the banking industry. The microfinance sector has grown rapidly over the past few decades and currently, it is serving around 102 million accounts (including banks and small finance banks) of the poor population of India. MFIs are financial companies that provide small loans to people who do not have any access to banking facilities.

Published by: Kumaraswamy Manepalli, Dr. M. Ram KumarResearch Area: Finance

Organisation: Annamalai University, Chidambaram, Tamil NaduKeywords: Unbanked, Financial Inclusion Plans(FIPs), Business Correspondents, Non-Banking Finance Industry(NBFI), Microfinance Institutions (MFIs)

Research Paper

212. A study on the present status and performance of micro, small and medium enterprises in India

Micro, small and medium enterprises are playing a pivotal role in the development of the Indian Economy. MSME is an important sector in the Indian economy because of its enormous contribution to the socio-economic progress of the country. This sector is considered the backbone of the country. Micro, small and medium enterprises contribute about 30% of the country’s gross domestic product (GDP) and 45% of the manufacturing output. MSMEs stand next to the agriculture sector in providing employment opportunities in the country. Approximately 110 million people are occupied in the MSME sector in India. MSMEs are an integral part of the supply chain and contribute about 45% of the overall exports made from India. MSMEs produce and manufacture a variety of products for both domestic as well as international markets. MSMEs are connected with the rural economy because more than half of the MSMEs operate in rural India. MSME sector is dominated by micro-enterprises. India has 6.33 crore MSMEs out of which 6.30 crore — 99.4 percent are micro-enterprises while 0.52 percent — 3.31 lakh are medium and 0.007 percent — 5,000 are medium enterprises. This paper attempts to study the present status, performance of MSMEs in India, and the support provided by the Government for the promotion and development of MSMEs in India.

Published by: Vishwanath S. Pujari, Jyoti Savanur, Rashmi MahendrakarResearch Area: Economics

Organisation: People tree Education Society's, Belagavi, KarnatakaKeywords: MSMEs, GDP, Government Support, Economic Growth, Employment

Research Paper

213. Designing, deploying and managing cloud-native applications effectively using Docker, Jenkins, and Kubernetes.

From storing and retrieving information in databases online to delivering various services such as servers, and computing resources over the internet, cloud computing has brought tremendous advancements in the technological world. One of the major sectors of cloud computing is application development. A wide variety of applications are being developed which offer services for almost every working industry globally. Several debates and discussions have arisen on designing the application in the best way possible. Extensive research studies were done using various parameters such as resource usage, storage, efficiency to determine the most optimal method. Cloud-enabled applications were the primary type developed, followed by cloud-based applications. However, the demand for lightweight and flexible applications designed at the least cost possible rendered these approaches obsolete. That is where the cloud-native model came into the picture. This paper explores the model and presents how it is used to design, deploy, and manage cloud-native applications, including discussing the model's core elements and implementing them in making the application.

Published by: Jyothi Koushik PaladuguResearch Area: Cloud Computing

Organisation: Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana.Keywords: Lightweight, Containers, Microservices, Scalability, Load balancer, DevOps

Research Paper

214. Influence of social media marketing on sales revenue

Social Media these days is among the 'best accessible way' for a product or service to reach out to customers. Local social media sites are the strategy to associate socially. These new media creates confidence in clients by connecting with them at a more profound level. Social web-based promoting is the new mantra for a few producers and service providers since the early days. Advertisers are thinking about various web-based media potential outcomes and starting to apply new friendly tasks at a higher rate than any time in recent memory. Community online marketing and the companies that utilize it have become more sophisticated. One can't stand to have any presence on the social projects if the contender is making waves with its answers and things. Global organizations have distinguished web-based media advancement as a potential advancement framework, utilized them with upgrades to control their showcasing with web-based media advancement. This paper examines the thoughts of online media and web-based media advancement and different perspectives like the turn of events and benefits, viewpoint and significance of web-based media in advancement, web-based media advancement techniques. It's nothing but a framework-based web-media advancement in India.

Published by: Vaddi Jahnavitha, Nalla Aryan Reddy, Kanikapati HimakarResearch Area: Marketing and Sales

Organisation: Christ University, Bengaluru, KarnatakaKeywords: Social Media, Marketing, Sale, Revenue, Advancement, Online Media and Web-Based Media

Research Paper

215. Forecasting air quality using Machine Learning techniques

Air pollution, in general, implies to discharge of impurities into the atmosphere which is harmful to human life and the in-universe. It has the potential to be the most destructive menace humanity has always faced. It gives problems to animals, birds, yield, crops, and forests among other things. To overcome the difficulty, machine learning techniques must be used to anticipate air quality from pollutants. As a result, forecasting the quality of air monitoring and prediction of it has been a significant study area. The actual objective is looking for machine learning-based solutions for forecasting air quality with the highest level of accuracy. The entire dataset will be analyzed using machine learning techniques to calculate large bits of data which are variable identification, univariate analysis, and multi- variate analysis, also bi-variate analysis, missing value treatments, and data validation, data cleaning/preparing, and visualization. Our paper offers a detailed guide to model parameter risk assessment in terms of performance in forecasting air quality pollution calculating prediction accuracy. For presenting a technique using machine learning for reliably predicting the Air Quality Index value by comparing various classifying machine learning methods and producing calculation results in the type of highest accuracy. In addition, the outputs of several machine learning methods from the provided datasets will be compared and discussed, along with an estimation of the user interface which is GUI-based for forecasting air quality using attributes present in the datasets.

Published by: Rajeena R. R., Dr. Usha S, Shalini.G, Sharanya B, Rekha SResearch Area: Air Pollution

Organisation: Rajarajeswari College of Engineering, Bengaluru, KarnatakaKeywords: Machine Learning Algorithms, Pollutant, Air Quality Index, Datasets, Data Visualization, Accuracy, Air Pollution, Prediction

Research Paper

216. Investigation of ferrocement composite beam

Ferrocement is a thin, versatile construction material, with several unique properties and is suitable for a wide range of applications in Civil Engineering. Generally, concrete structures are designed for static loads but sometimes dynamic loads like blasts, etc. Prefabricated elements are used in the construction industry as an alternative system to overcome the formwork problems in addition to getting better quality control. The prefabricated elements made of reinforced concrete are extremely heavy and difficult to transport, placing in position, and construct. Because of its good structural performance and low-cost ferrocement is used in the construction industry. Ferrocement is suitable for the construction of roofing/floor elements, precast units, manhole covers, and the construction of domes, vaults, grid surfaces, and folded plates. So finding the flexural behavior of ferrocement is necessary. Therefore, the flexural strength is determined by varying the meshes in the U-section and varying the thickness of the beam. An experimental and finite element analysis on flexural behavior of ferrocement U-shape channel section reinforced with wire mesh with varying number of wire mesh layers is presented. A finite element analysis of the U-shape ferrocement channel was carried out. The finite element analysis (FEA) has been also used to model the ferrocement U-shape channel for various spans and thicknesses. Ferrocement U-shape channel with varies thickness and number of mesh layers analyzed in ANSYS.

Published by: Akash Bholenath Mune, Pallavi K. PasnurResearch Area: Civil

Organisation: JSPM’s Imperial College of Engineering and Research, Pune, MaharashtraKeywords: Ferrocement, U-Shape Channel Section, Flexure

Research Paper

217. The Grand Mosque of Herat, a symbol of Islamic art and architecture

Afghanistan has been at the crossroads of many human civilizations throughout its glorious history. The magnificent and great works and monuments developed and constructed through its many historical eras represent the skillful and artistic taste and power of thinking of the people inhabiting this glorious ancient land. The Grand Mosque of Herat demonstrates the peak of Islamic art and architecture. It is one of the most beautiful mosques in the region, reflecting the beauty and artistic skills of Islamic art and architecture. The Grand Mosque of Herat is a living testament to Islamic history and culture that has reached its perfection in this corner of Asia.

Published by: Zalmai HotakResearch Area: Social Science

Organisation: Kabul University, Kabul, AfghanistanKeywords: Grand Mosque Of Herat, Islamic Art and Architecture

Research Paper

218. Tamper Detection of Social Media Images using CNN

Images are often manipulated with the intent and purpose of benefiting one party. images are often seen as evidence of a fact or reality, therefore, fake news or any form of publication that uses images that have been manipulated in such a way has the greater capability and potential to mislead. The web permits clients to process any type of digital media within seconds all over the globe. With expanding utilization of digital multimedia contents like pictures and video, the techniques for detecting the digital image forgery have also increased parallelly. people tamper with images to make the image look more pleasant for appearance but it is susceptible if one changed someone’s face within the image and misuses it. Hence this demands automatic tools for identifying the difference between authentic and tampered images. To detect such image falsification, a large amount of image data is required, and a model can process each pixel in the image. In addition, efficiency and flexibility in data training are also needed to support its use in everyday life. The concept of big data and deep learning is the perfect solution to this problem. Therefore, with an Error Level Analysis (ELA), Convolutional Neural Network (CNN)

Published by: Gaurav Shetty, G. S. Shrijitha, Shravika Nempe, Nandan N. K., Shwetha S. ShettyResearch Area: Machine Learning

Organisation: Sahyadri College of Engineering and Management, Mangalore, KarnatakaKeywords: Digital Image Forgery, Photo Editing Software Tools, Image Tampering Detection, Convolutional Neural Network


219. Seismic activity of overhead storage tank by fem analysis

The overhead water tank consists of a tank supported by a scaffolding system composed of columns, braces, and foundations. Overhead water storage tanks have generally performed well in seismic zones. Even so, a large number of tank collapses have been discovered during earthquakes from, as early as the San Francisco earthquake (1906) to the Bhuj earthquake (2001). The observed damage in recent earthquakes shows that it is necessary to choose new methods for transformation while designing the structures. In many earthquake-prone countries, water tanks are continuously being retrofitted or build with control devices to decrease caused stresses, displacements, and base shear during seismic activity. A good perceptive of the seismic behavior of these important structures is necessary in order to meet up safety objectives while containing construction and maintenance. In this paper, we studied circular and rectangular overhead water tanks with different water levels. The static and dynamic analyses of time history were performed on the tanks. The different cases depending on water levels as 0%, 25%, 50%, 75%, and 100% filled were studied. In this project base shear variation, time period for different mode shapes, time history for different earthquakes were calculated by using SAP2000.

Published by: Pooja Khairnar, P. J. Salunke, N. G. GoreResearch Area: Engineering

Organisation: Mahatma Gandhi Mission's College of Engineering and Technology, Navi Mumbai, MaharashtraKeywords: Base Shear, Dynamic Analysis, Stresses, SAP 2000, Time History, FEM Analysis

Research Paper

220. An analysis of usage of Integrated Marketing Communications by Political parties to Influence Voters in Tamil Nadu and Kerala in assembly elections 2021

Today it is necessary to take a fresh look at the communications process and strategy adopted by different political parties to reach out to their voters (consumers). Many political parties have developed a systematic approach to gain the support of voters. The process of reaching out to voters occurs not merely during the elections but is a process that goes on throughout the year. This research paper aims to analyze usage of Integrated Marketing Communications of Major Political Parties on Consumers (Voters) in Tamil Nadu and Kerala in recent assembly elections 2021

Published by: Sunitha B. K., Dr. Sandeep ShashtriResearch Area: Polticial Marketing

Organisation: Jain (Deemed to be) University, Bengaluru, KarnatakaKeywords: Integrated Marketing Communications, Political Parties, Communications Process, Voters (Consumers)

Research Paper

221. Optimization of Sinter FeO at Sinter Plant, Tata Steel Kalinga Nagar

The analysis presented herein shows that the impact of sinter FeO on BF fuel rate is more significant at higher productivity levels (greater driving rates) than sinter RDI. Since typical levers to control sinter RDI are not available (gangue content, etc.) at Tata Steel Kalinganagar (TSK) due to the significant proportion of sinter in the BF burden, controlling sinter RDI at present in TSK requires higher heat input during sintering, which, generally leads to higher sinter FeO. From the data analysis, the suggested band of operation for sinter FeO is 10.4 – 10.8%. In this band of sinter FeO, the RI value can be maintained at 73.5-75.5% with RDI ~ 28-32%. Considering the narrower band of sinter FeO that is preferable for blast furnace operation, there is a scope to reduce carbon rate by 3- 4 kg/t GSn (tonne of Gross Sinter) from its present level of operation (62 kg/t GSn to 58 kg/t GSn average) at the sinter plant.

Published by: Srijith Mohanan, Prajna Mohapatra, Arun Kumar C, Vipul Mohan Koranne, Sabuj Halder, A.S. Reddy, R.V. RamnaResearch Area: Metallurgical Engineering

Organisation: Tata Steel Limited, Duburi, OdishaKeywords: Sinter FeO, RDI, RI, Fuel Rate, K Value

Research Paper

222. COVI SCAN (Face mask detection and social distancing violation detection)

COVID-19 pandemic is a great humanitarian challenge faced by the world today. The pandemic has spread widely causing the world to halt and the number of cases continues to rise. Governments all around the world are working to slow down if not completely stop the spread of this pandemic. Many protocols have been implemented, crucial ones are face masks and social distancing. Since social distancing and wearing a mask are the only monitored ways to avoid the infection till vaccinations become accessible to all. Real times mask detection and social distance violation using computer vision and deep learning techniques. For face mask detection we collected a dataset consisting of with-mask and without-mask labels.

Published by: Shaikh Muskaan, Poojashree, Preksha, Rakshitha R., Manjunatha A. S.Research Area: Covid Prevention

Organisation: Shri Madhwa Vadiraja Institute of Technology and Management, Bantakal, KarnatakaKeywords: Computer Vision, Deep Learning, OpenCV

Research Paper

223. Real driving emissions strategies in heavy-duty vehicles

Bharat Stage 6 Emission Norms will require Real Driving Emissions as an additional type approval requirement from April 2023 in India. There is a significant requirement for reduction in exhaust gas emissions from Bharat stage 4 to Bharat stage 6. Several changes in engine constructions, tuning of the engine, valve, and ignition timing need to be adjusted. Moreover, after treatment device such as catalytic converter, selective catalytic reduction, Diesel particulate filter, exhaust gas recirculation needs to be adopted to meet these norms. Real Driving Emissions takes into account the road profile, the ambient conditions, traffic situations, drivers' behavior, and their influence on emission values. This new test requires equipment called Portable Emission Measurement system which comprises of exhaust flow meter, exhaust gas analyzer, global positioning system, ambient temperature, and ambient pressure sensor, OBD data acquisition device, and connection with vehicle ECU. The overall trip duration shall be between 90-120 minutes which consists of urban, rural, and highway driving. Thus accurate planning of route is required to reduce test failure risk and consequently experimental cost. When the driving conditions like ambient temperature and altitude are changed in order to check for different and extended conditions then there is a change in test results which are called extended test results. In recent studies, it was found that NOx emission was relatively higher compared to the expected result in urban conditions. This is due to constant low speed, deceleration, and acceleration. Thus conformity factor for NOx emissions varies from one emission regulation to another. The aim of this paper is to present the basics of Real driving conditions.

Published by: R. S. Shingnad, Dr S. J. NavaleResearch Area: Automobile Engineering

Organisation: AISSMS College of Engineering, Pune, MaharashtraKeywords: Real Driving Emissions, Driving Conditions, Ambient and Route

Review Paper

224. Air pollution monitoring using IoT

As the world becomes more industrial to support the basic necessities and luxuries of life, adverse effects have been noticed in the environment. One of these adverse effects is air pollution. Air pollution has risen to such a level in certain regions of the world that it has started to cause health-related issues to all of the living beings dwelling in that region. The purpose of this paper focuses on designing and implementation an air pollution monitoring system based on the Internet of Things (IoT) that would read the levels of pollutants in the air and other air quality factors, and thereby transmit these readings via wireless communication to a smart cloud platform where all these readings can be displayed in a distinguished manner. Such a system is a vital need so as to check the atmosphere one life in, and thereby take precautionary measures to protect oneself and the surrounding nature.

Published by: Ajay Suri, Siddhant Sahu, Shivam Sharma, Shalu Rawat, Rishi YadavResearch Area: Electronics and Communication

Organisation: ABES Engineering College, Ghaziabad, Uttar PradeshKeywords: AQI, IoT, Sensor Data, Wifi

Research Paper

225. Antibacterial activity of filter material based on garnet and silver vein graphite composite

Disinfection of microbially contaminated water is an important part of water purification, aiming to inactivate pathogenic microorganisms in water. Silver nanoparticles have attracted tremendous interest for water disinfection because of their antibacterial efficiency. This study focuses on the use of garnet sand coated with silver-graphite composite in deactivating waterborne microbes. Graphite was purified by acid leaching, followed by surface modification with conc. HNO3. The silver-graphite composite material (SVG) was synthesized using AgNO3 as a precursor and trisodium citrate as a reducing agent. SVG was coated around garnet sand with the assistance of three types of clays namely montmorillonite, red clay, and kaolinite. Garnet sand was directly coated with silver nanoparticles to compare the durability and antibacterial efficiency. Garnet sand coated with SVG using red clay (75%) and montmorillonite (75%) showed a higher percentage coating than that used with kaolinite (25%). The antibacterial activity of coated garnet was tested using Escherichia coli. The results revealed that all coated garnet sand samples were able to decrease the concentration of E. coli from water, and no effect was observed from raw garnet sand. The antibacterial efficiencies were (13-70%), (15–57%), (38-67%) for kaolinite, red clay, and montmorillonite coated garnet sand, respectively. The garnet sand coated with silver nanoparticles showed the highest efficiency (96-100%) with the lowest percentage of coating. According to the results obtained, garnet sand coated with SVG using montmorillonite showed the highest antibacterial activity and the highest percentage of the coating. Therefore, this study, suggests that the filter system with the garnet sand coated with SVG using clays can be used as a potentially cost-effective alternative filtration medium for the disinfection of water.

Published by: V. M. Rajindra Swarnamali, A. Sivapaln, K.P.S. Sudumenike, T.H.N.G. Amaraweera, Y.M.S.S. YapaResearch Area: Water Filtration

Organisation: Uva Wellassa University, Badulla, Sri LankaKeywords: Graphite, Antibacterial Activity, Kaolinite, Red Clay, Montmorillonite

Case Study

226. Customer segmentation and prediction analytics in ERP for jewelry domain

Customers are the link to a business's success. Any organization must focus on a huge number of customers, for this customer satisfaction and loyalty should be incorporated along with the long-term goals of the organization. As the backbone for all marketing activities, customer analytics comprises techniques like predictive modeling, data visualization, information management, and segmentation. Customer analytics is becoming critical. Customers have access to information anywhere, any time – where to buy, what to shop for, what proportion to pay, etc. The deeper the understanding of customers' buying habits and lifestyle preferences, the more accurate your predictions of future buying behaviors are going to be – and therefore the more successful you'll be at delivering relevant offers that attract rather than alienate customers. Generally, organizations spend a lot of money to acquire new customers but they do not realize that the majority of the sales and profits come from their existing customers. In this thesis, the existing customers are analyzed and given a customer lifetime score, and based on this score, the customers are nurtured by the sales team to increase the profits. In order to maximize sales and conversions, customer segmentation and product recommendation engine is used effectively. Customer segmentation is the process of dividing the customers into many groups that supported common characteristics so companies can market to every group effectively and appropriately. Segmentation is performed using k means clustering. Segmentation allows marketers to raised tailor their marketing efforts to varied audience subsets. It is important to predict the customer segment for any new customer which can be done using supervised classification algorithms such as Logistic Regression, Naïve Bayes, Random Forest, K Nearest Neighbour, and Support Vector Classifier.

Published by: Mohammed MafazResearch Area: Data Science

Organisation: Loyola College, Chennai, Tamil NaduKeywords: Customer Analytics, Customer Value Analysis, Customer Lifetime Score, Customer Value and Satisfaction, Customer Segmentation, Customer Loyalty, K Means Clustering, Logistic Regression, Naïve Bayes, Random Forest, K Nearest Neighbour, and Support Vector Classifier.


227. Indian Online Art Athenaeum

Creating an Online Art Athenaeum application that provides all end-users to view and purchase exotic Art items from the comfort of their home. The application provides high security for the end-users by enclosing all their personal details. The application has an additional Auction facility for Users to purchase rare art collections.

Published by: Yazhini GopalakrishnanResearch Area: Software Engineering

Organisation: Vellore Institute of Technology, Vellore, Tamil NaduKeywords: Athenaeum, Application, Auction facility, Security, End-Users

Review Paper

228. Surveillance Bot with real time object detection

Computer Vision is a subset of programs and software programs in computer science that can see and understand pictures. Computer Vision has different characteristics, such as image recognition, object detection, processing of images, image processing, etc. Face recognition, car detection, pedestrian counting, online imaging, surveillance systems and self-driving cars are commonly used for object detection.

Published by: Aman Agrawal, Ajay Suri, Akshay Goel, Aman VarshneyResearch Area: Computer Vision

Organisation: ABES Engineering College, Ghaziabad, Uttar PradeshKeywords: YOLO, HAAR, Cascade, OpenCV, COCO

Case Study

229. Survival analysis of heart failure patients using Machine Learning on an imbalanced dataset

In this paper, we have focused on the survival analysis of heart failure patients. The number of individuals diagnosed with coronary failure is increasing and projected to rise by 46 percent by 2030, leading to quite 8 million people with coronary failure. The reason for the increase in heart failure is due to an increase in the number of cases involving high blood pressure, valve disease, thyroid disease, kidney disease, and diabetes [1]. With the growth of machine learning, data mining, statistical analysis, data-modeling predicting whether the person will survive [2] or not after heart failure is possible and it becomes very crucial.

Published by: Mohammed MafazResearch Area: Data Science

Organisation: Loyola College, Chennai, Tamil NaduKeywords: SMOTE, Random Forest, Confusion Matrix

Research Paper

230. Identifying defects during semiconductor manufacturing using Machine Learning

This Project is about identifying defects in the equipment that manufactures semiconductors by using various required parameters. Semiconductor manufacturing is a very delicate process and all the equipment that manufactures semiconductors needs to function properly, and any error in this equipment will cause major damage to the manufacturing process. In this project, we have used various machine learning algorithms and implemented the best one which has more accuracy in identifying defects during the manufacturing of semiconductors.

Published by: Nandini G., K. G. Ashwin Krishnan, Harshith R., Dileep Kumar Simhadri, Gummalla Akhil Kumar ReddyResearch Area: Semiconductor Manufacturing

Organisation: Rajarajeswari College of Engineering, Bengaluru, KarnatakaKeywords: Semiconductor, Manufacturing, Equipment's, Delicate, Machine Learning, Algorithms

Research Paper

231. Detection and estimation of heavy mineral accumulation in coastal areas

To develop a conventional sensor-based system for monitoring the estimation of on-shore heavy mineral accumulation. The existing technology involves an analytical procedure using acidic solutions which is only possible under laboratory testing. Our proposed idea involves the development of an ultrasonic sensor system along with an infrared and moisture sensor module for the estimation of heavy mineral accumulation. The principle of sensor development involves the ultrasonic absorption and infrared absorption capability of specific minerals as each mineral will have a different absorption capacity. The tested samples from the laboratory are further subjected to sensor tests and the data will be evaluated. The data obtained from the sensor will be compared with laboratory test results to observe the relationship between the mineral present and the data obtained. Finally, a prototype model for real-time investigation will be developed. The main advantage of the proposed idea includes the time-efficient process accompanied by instant results which will reduce cost and procedures needed for estimation

Published by: Yaswanth Reddy Putta, Reventh M. S., Sanjay S., B. S. SreejaResearch Area: Electronics

Organisation: Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil NaduKeywords: Mineral, Coastal, Sensors, Infrared, Model.

Case Study

232. Identification of Jewelry Article using Transfer Learning and Image Repository

“IDENTIFICATION of jewelry ARTICLE USING TRANSFER LEARNING AND IMAGE REPOSITORY” maybe a project that aims to automate, boost and revolutionize the task of recognizing Jewellery articles for tagging before adding the article into the inventory. the aim of this project is to optimize the task of stock entry and to scale back the manual work of tagging each and each article. The project involves creating an image repository of varied Jewellery articles by manually clicking the pictures, label the pictures supported the classes, train the model, and eventually classifying the articles in real-time using live camera feed using Transfer Learning, and OpenCV. Once the article is recognized, the model will pass the worth vectors including the name of the article, the image of the article, and a number of pieces of a specific article skilled the live camera. this complete process will help in boosting up the manual process of adding Jewellery articles to inventory, will reduce manpower, be less erroneous, and can economize for the stakeholders during the end of the day.

Published by: Mohammed MafazResearch Area: Data Science

Organisation: Loyola College, Chennai, Tamil NaduKeywords: Transfer learning, YOLO, Darknet, LabelImg, Computer Vision

Review Paper

233. Treatment of landfill leachate by using membrane filtration

The rapid increase in population and industrialization lead to a huge generation of solid waste throughout the country with landfilling as the most common practice for the management of solid waste. There are many methods available like physical, chemical, biological, and membrane filtration. Membrane filtration can be defined as the separation of solid immiscible particles from a liquid or a gaseous stream based primarily based on the size difference. By study it is concluded that as compared to all methods membrane filtration is very efficient, Hence, in this study membrane filtration technique is applied. In this review, the membrane is prepared with readily available materials. We have used Cellulose acetate which is a renewable, biodegradable, bio-based polymer & it is cheap material. Initial characteristics of leachate and after treatment final characters are again determined and compared. Removal efficiency is found.

Published by: Vidyashree G. Walikar, M.Y.GanigerResearch Area: Civil Engineering

Organisation: Basaveshwar Engineering College Bagalkot, Bagalkot, KarnatakaKeywords: Landfill Leachate, Membrane Filtration, Cellulose Acetate

Research Paper

234. Analyzing tweets to classify the opinions of people living in Chennai with respect to the city

This project helps to analyze the public opinion in social media towards Chennai city by the people who live in the city. It presents a comprehensive review of local people who tweet, retweet, like on Twitter about Chennai. For completeness, it includes introductions to social media web scraping, storage, data cleaning, and some sentiment analysis tools. This project also provides a comparative study where we use three different sentiment analysis tools: Naive Bayes, Bert, and Neural Network. Analyzing social media, in particular, Twitter feeds for sentiment analysis, has become a major research activity due to the availability of web-based APIs provided by Twitter services. This project provides a review of leading software tools and how to use web scraping, cleanse using Bert and comparing the tweets with three different tools and showing them in graph and finding out which gives the best accuracy and presenting it to the CHENNAI SMART CITY LTD which comes under the GREATER CHENNAI CORPORATION. The data retrieval techniques that are presented in this paper are valid at the time of doing this project (April 2021), because they are subject to change since social media web scraping APIs are rapidly changing.

Published by: Mohammed MafazResearch Area: Data Science

Organisation: Loyola College, Chennai, Tamil NaduKeywords: Social Media, Sentiment Analysis, Web Scraping, Naive Bayes, Bert, Neural Network

Research Paper

235. Automatic Alphanumeric recognition using Python and OpenCV- A new approach of ANPR

Alphanumeric recognition is a computer aspect that recognizes any digital Image automatically fed from an external source. This system initiates from obtaining digital images, localizing concerned alphanumeric areas, truncating characters and OCR from given alphanumeric characters. This system is intended to be designed and developed for helping in image processing and algorithms to identify the area from where given alphanumeric digits can be identified. These characters in a segmented way are identified with the aid of Open Source Computer Vision Library ( OpenCV) and programmed in python language. In the given source image KNN (k-Nearest Neighbor) algorithm is used to find all possible alphanumeric characters.

Published by: Syed Shafat Adil, Shiv Shankar Pal, Prashant Kumar, Mehul Anand, Sumit GauravResearch Area: Information Technology

Organisation: GNIOT Group of Institutions Greater Noida, Uttar PradeshKeywords: Alphanumeric Character, OpenCV, KNN Algorithm, Optical Character Recognition (OCR), ANPR

Research Paper

236. Fast fashion – Consumer perception and buying practices

The fast fashion industry has changed the way we consume fashion today. The garment industry has continued to neglect the ongoing environmental crisis. Fast fashion focuses on the production of cheap clothing, while completely disregarding its impact on the environment and the labor involved. The concept of green marketing as well as greenwashing play a huge role in understanding how brands portray themselves as “sustainable”, to cater to consumers that value ethical consumption. This research analyzes the primary reason fast fashion is appealing to consumers, their perception and buying practices, through interviews and surveys. The descriptive research elaborates on its impact on the supply chain and the concept of greenwashing. The results suggest that the respondents are reluctant to switch to sustainable alternatives since fast fashion helps them keep up with the latest trends at an affordable price.

Published by: Nikita Daniel, Jinny Maria Sebastian, Jyoti Rawal, Nishtha VermaResearch Area: Fashion

Organisation: National Institute of Fashion Technology, Kangra, Himachal PradeshKeywords: Fast Fashion, Sustainable Practices, Agile Supply Chain

Research Paper

237. A study of micro-teaching approach and its effect on behavior modification of pupil teachers of teachers training institutions of west Bengal

Microteaching is a technique through which the pupil-teacher chooses a single concept of content to deliver a short lesson to a small group of pupils for a short period of time-based on a single teaching skill. In this study, the researchers investigated the effect of the micro-teaching approach on the behavior modification of pupil teachers at the secondary level of education. For this study, the researchers developed the ‘Teaching Skills Observation Scale’ to analyze pupil teachers’ teaching behavior. The study found a positive effect of the micro-teaching approach on the behavior modification of pupil teachers. Significant differences have been found between the mean scores of science stream pupil teachers and social science stream pupil teachers at the first and final observation. The study also found that the mean scores of female pupil teachers were much higher than the mean scores of male pupil teachers at both the first and final observation.

Published by: Md Towhid Islam, Bejarul KarimResearch Area: Teacher Education

Organisation: Department of Education, Aligarh Muslim University, Aligarh, Uttar PradeshKeywords: Micro Teaching, Teachers Training Institution, Teaching Skill, Pupil Teacher, Behaviour Modification

Research Paper

238. Minimart a marketplace using dapp on the ethereum blockchain

As the developments in blockchain technology is drastically growing, led to the creation of smart contracts. Smart contracts are code which are stored and self-executed on blockchain. Due to this, it is possible to implement distributed, decentralized applications with their frameworks to be developed and implemented easily. A proof-of-concept system that implements a distributed online marketplace using the Ethereum framework, where buyers and sellers can engage in e-commerce transactions without the need of Intermediary. Performance is usually measured in terms of gas count. It was determined that costs are significantly less than any other online marketplace. Hence, Ethereum is proving much more significant as a distributed on-chain market.

Published by: Archana A., Harshitha Raj, Yashaswini R., Ashwini C.Research Area: Blockchain

Organisation: Global Academy of Technology, Bengaluru, KarnatakaKeywords: Blockchain, Ethereum, Marketplace, Smart Contract, Decentralized, E-Commerce

Research Paper

239. Drug and Cosmetics Act, 1940

The drugs and Cosmetics Act 1940 is an act of the Parliament of India that regulates the import, manufacture and distribution of drugs in India. The main objective of this law is that drugs and cosmetics sold in India are safe, effective and meet state quality standards. The relevant drugs and cosmetic regulations of 1945 include regulations for the classification of drugs according to a specific program, with instructions for storage, sale, labelling and prescription for each program. . After obtaining approval from the Governor on April 10, 1940, the Ministry of Health The Ministry of Health came into effect on April 1, 1947.

Published by: Varatha Ravindra MenonResearch Area: Drug and Cosmetics Act

Organisation: Symbiosis Law School, Nagpur, MaharashtraKeywords: Drug and Cosmetics Act

Research Paper

240. PV-Based MPPT for standalone DC Micro Grids using Fuzzy Logic

Due to the large variations in production and demand, stand-alone green energy management systems are becoming more important for power sharing and voltage regulation tasks. Traditionally used power management methods use maximum energy factor monitoring (MPPT) algorithms and depend on batteries in the event of a power surge or shortage. However, in order to maintain a constant current-constant voltage (IU) charging regime and extend the life of batteries, energy management methods must be more adaptable with regard to power curtailment. The article offers a technique for battery management of a hybrid solar photovoltaic and wind energy device for stand-alone applications. Due to the non-linear nature of battery charging, which is time-varying with a large time delay, it is challenging to obtain the optimum energy management performance using conventional control methods. The article analyses a fuzzy manipulates method for battery charging and discharging in a renewable energy production system. To extend the battery's life, fuzzy control maintains the appropriate level of charge (SOC). A fuzzy logic-based controller is suggested for use in manipulating the battery state of charge of the intended hybrid system, and its performance is validated in contrast to a conventional PI controller.

Published by: Ram Kumar, Harkamal Deep SinghResearch Area: Electronics And Communication

Organisation: GGS College of Modern Technology, Mohali, PunjabKeywords: MPPT, PI controller, Renewable Energy Sources, Energy Consumption

Research Paper

241. Kidney stone detection using Machine Learning techniques

In nowadays individuals are experiencing different infections. Kidney infections are one of the significant illnesses among them which are expanding day by day like the development of blisters and stones, contamination, tumor, change in kidney position and appearance and so forth We can't disregard kidney-related issues since kidney breaking down can place life in hazard Consequently, to forestall such sort of kidney anomalies in patients, early recognition and avoidance is required. This paper presents an audit on the discovery and acknowledgment of kidney anomalies. The data can be helpful to distinguish and find the kidney infections in the previous stages to play out the careful activity to fix them effectively. Thus, it has a repetitive application space that incorporates PC supported finding framework which assists with identifying kidney anomalies and give a conclusion of likely infection. In addition, a CT picture has numerous issues like low differentiation, spot commotion, gaussian clamor, and different ancient rarities. In this way, there is a major need for better picture quality than remove related highlights. To conquer this test, suitable picture handling procedures as pre-preparing and order strategies have been portrayed. The examination work presents the outline of the different strategies for the discovery and acknowledgment of kidney irregularities. Besides, the goals of these strategies and their presentation are clarified.

Published by: Lepakshi T. V., Dhamini C. L., M. V. Ramya, Rachana C. Hulikatti, Aneesh Jain M VResearch Area: Machine Learning

Organisation: Alvas Institute of Engineering and Technology, Tenkamijar, KarnatakaKeywords: Computed Tomography, Stone, Morphological Transformation, Thresholding

Research Paper

242. Law of torts and sports litigation

The research paper talks about the relation between the Law of Torts and the Field of Sports and how important it is to establish the Law of torts in the Field of Sports. The research paper portrays the relation between Law of torts and sports litigation. The thesis includes various case laws, research papers,s and references from online articles. The evolution of sports in the country has called for proper implementation of laws for the industry and as the of Law of torts in India is still not properly established it is very hard for the sportsperson to claim for damages in a situation where they suffer injury. The transparency of the federal sports authorities in India has also not been fair and transparent as more and more frauds and scams have been disclosed in recent years. The proper establishment of the Law of torts would help the Indian judiciary as determining cases under the Law of torts would be simpler and finding out who is entitled to a claim for legal damages would also become easier. The research portrays different types of torts, cases of sports under the said torts, and the possible remedies that can be provided to the players. The research paper is on the topic of the Law of Torts and Sports Litigation. Secondary research conducted on the topic reveals that proper implementation of the Law of torts, as well as laws made by the Sports Federation of India, is required.

Published by: Avinash PandeyResearch Area: Law Of Torts

Organisation: Kirit P. Mehta School of Law, Mumbai, MaharashtraKeywords: Law of Torts, Sports Litigation, Sports Federation of India, Claim for Damages

Research Paper

243. Gauging the proportion and impact of drug-drug interactions in the prescriptions of geriatric patients on medications affecting the cardiovascular system

Background: Cardiovascular ailments belong to some of the most important contributing factors for the mortality and reduction in quality of life in developing nations. Patients on prescriptions with many medications are at a heightened risk for the development of adverse reactions especially resulting from drug-drug interactions. This study aimed at assessing the pattern, proportion and impact of such Drug-Drug Interactions (DDIs) in patients with various cardiovascular and non-cardiovascular co-morbidities. Methods: This study was conducted in the Department of Internal Medicine of a tertiary care center. The prescription of 200 patients was analysed for demographic information like gender, age, comorbidities and drugs prescribed. DDI was assessed using Micromedex software. Results: This study included 200 prescriptions of people aged 60 years and above. A total of 324 DDIs were identified among which, 24 (7.4%)were major and 127 (39.2)were moderate. The antiplatelet and anticoagulant group of drugs were responsible for the majority of DDI, followed by hypertension medications and diabetic medications Conclusions: It can be concluded from this study that the incidence of DDI rises with the rise in the number of medications in the prescriptions and there is an increase in the number of drugs in the prescription with the increase in the number of co-morbidities.

Published by: Dr. Manoj Kumar A S, Dr. Srihari G. Kulkarni, Dr. N. BhaktavatchalamResearch Area: Medicine

Organisation: Dr. B. R. Ambedkar Medical College and Hospital, Bangalore, KarnatakaKeywords: Cardiovascular drugs, Drug-drug interaction, Major interaction, Moderate interactions

Research Paper

244. Student evaluation and stress detection system using Machine Learning

In this project, we propose a stress recognition algorithm using face images and face landmarks. In the case of stress recognition using a biological signal or thermal image, which is being studied a lot, a device for acquiring the corresponding information is required. In order to remedy this shortcoming, we proposed an algorithm that can recognize stress from images of the students in the classroom acquired with a general camera. We also designed a deep neural network that receives facial landmarks as input to take advantage of the fact that eye, mouth, and head movements are different from normal situations when a person is stressed and also we can identify the emotion of the student, there will conclude that whether the students understanding the concepts or not. Experimental results show that the proposed algorithm recognizes stress more effectively.

Published by: Srinivasa R., T. J. Shashank Uthkarsh, Ravindranath, Tejashwini K, ChidanResearch Area: Computer Science and Engineering

Organisation: Rajarajeswari College of Engineering, Bengaluru, KarnatakaKeywords: CNN, OCR, Student Performance, Technology Social Factors, Academic Reports, Machine Learning

Research Paper

245. Modeling and simulation of the electric vehicle coupled with battery and ultracapacitor

Electric vehicles boom in the market started after the improvement in the battery technology but the improvement needs to be enhanced further. An Electric Vehicle has zero greenhouse gas emissions compared to conventional ICE vehicles or Hybrid Electric Vehicles and hence is a better alternative. An Electric Vehicle has a longer charging time which is a drawback. Hence using Ultracapacitor for fast charging purposes can be coupled with a battery to overcome the drawback. Therefore, improving the transient power capabilities of the battery to satisfy the road load demand is critical. This research studies integration of Ultra-Capacitor (UC) to Battery. The objective is to analyze the effect of integrating UCs on the transient response of the BEV powertrain. UCs have higher power density which can overcome the slow dynamics of batteries. An energy management strategy utilizing a peak power-sharing strategy is implemented. The goal is to decrease the power load on batteries and operate Ultracapacitor in its most efficient region. A complete model to simulate the physical behavior of UC-Integrated BEV is developed using MATLAB/SIMULINK. This increases the life of the battery since its protected from overcurrent. which increases the health of the battery based on the number of charge/discharge cycles.

Published by: Yeshas Raghu GowdaResearch Area: Electric Vehicles

Organisation: JSS Science and Technology University, Mysore, KarnatakaKeywords: Ultracapacitor, SOC, OCV, Powertrain, Regen power

Review Paper

246. Review on the effect of preparative parameters of spray pyrolysis technique on optical and electrical properties of Zinc Oxide thin film

The spray pyrolysis technique is one of the most widely used, simple, and inexpensive techniques to deposit thin films of various materials. The physio-chemical properties of these thin films are depending upon preparative parameters such as concentration of precursor solution, dopants, substrate temperature, spray rate, post-annealing treatments, etc. In this paper, an intensive review of the effect of preparative parameters on the optical and electrical properties of ZnO thin films deposited by the spray pyrolysis method has been presented. These properties of the thin film can be precisely controlled by optimizing the preparative parameters. ZnO due to its attractive optical and electrical properties plays an important role in various electronics, optoelectronics, biomedical and sensing applications.

Published by: Nikam S. V., B .T. JadhavResearch Area: Thin Film

Organisation: Yashavantrao Chavan Institute of Science, Satara, MaharashtraKeywords: Spray Pyrolysis Technique, ZnO Thin Film, Preparative Parameters, Optical And Electrical Properties

Research Paper

247. Electronic Voting Machine Based on IRIS Authentication

In every election, the commission is facing plenty of troubles and problems throughout the election. The foremost and familiar issue faced by the commission is inappropriate confirmation with relevance to the arrangement of casting the votes, duplication or illegal casting of votes. In this paper, a secure and new electoral system is developed to enhance the present legal system using iris recognition. Iris, one amongst the foremost secure biometric of person identification. The counting of vote is going to be immediately which makes voting process efficient, fast, and secure. There by can reduce the proxies drained the election system or electoral system and elect the right candidates as rulers. All details are updated to web server through IOT. The main goal of this article is to avoid duplication of casting votes.

Published by: M. K. Sivaranjani, S.Santhiya, S.Swathika, P.Ramya, G.MohanavelResearch Area: Engineering

Organisation: VSB Engineering College, Karudayampalayam, Tamil NaduKeywords: IRIS, Recognition, Feature Extraction, Matching, IOT


248. Asthma prediction using Machine Learning

Patient telemonitoring brings about a conglomeration of huge measures of data about quiet illness direction. Notwithstanding, the possible utilization of this data for the early expectation of asthma in grown-ups has not been methodically assessed. The point of this examination was to investigate the information for building AI calculations that anticipate asthma before they happen. The investigation dataset involved 278847 records presented by grown-up asthma patients. Prescient displaying included readiness of preparing informational indexes, prescient component choice, and assessment of coming about classifiers. AI classifiers are utilized to foster these prescient models; including Random Forest, Logistic Regression, Decision Tree, and Naïve Bayes strategy. Of the multitude of classifiers carried out, strategic relapse classifier brought about the most elevated expectation precision. Our investigation showed that AI methods have huge potential in creating customized choice help for ongoing illness telemonitoring frameworks. Future examinations may profit with a far-reaching prescient system that consolidates information with different elements influencing the probability of creating asthma. Approaches carried out for cutting edge asthma expectations might be stretched out to early mediation of persistent ailments in patients

Published by: Manasa G. V. Kumar, Yogesh R, Soumya ranjan nayak, Vinod R, Shreyas M SResearch Area: Machine Learning

Organisation: Rajarajeswari College of Engineering, Bengaluru, KarnatakaKeywords: Decision Tree, Random Forest, NaïVe Bayes, Logistic Regression


249. Anomaly detection in pharmaceutical pills using image processing

There are various kinds of technologies available in the market for categorizing and packaging in the production line. Our project here discusses various image processing techniques and their shortcomings in the process. Our aim is to categorize the defective tablets based on their color shape missing tablets, color changes due to oxidation. The images of the tablet strip are captured using the camera. The features are extracted for a defect-less tablet strip. The input image is compared with the reference image present in the database, the amount of features that can be compared with the pre-loaded reference image is compared for a threshold value and is discarded if found to be less by separating them, and rest are allowed to pass for packaging.

Published by: Kaushik T. S., Chandan Prasad, Prajwal V., Dr. Manjula A. V.Research Area: Image Processing

Organisation: NIE Institute of Technology, Anagahalli, KarnatakaKeywords: Template Matching, Feature Descriptors, Feature Matching

Research Paper

250. A speculation technique for the stock market using time series

Using ARIMA (Auto-Regressive Integrated Moving Average) which is a model, this research study presents a method for anticipating stock market values. To begin, historical stock price data is gathered and pre-processed. Pre-processing is a subcategory of Data Mining in which raw original data is processed into a specified format so that the model can use it. Pre-processing is done to fill in the missing values and arrange the data based on the qualities required for developing the prediction model because the raw data to be processed is partly partial or inconsistent with certain errors and missing values. After the data has been filtered and classified, it is standardized by transforming it into a common format that can be used to train the prediction model. The obtained data is then divided into two data - training and testing data, with the majority of the data being used to train the model. And using the variables linked with the stock price, the testing data is fed to the ARIMA model to predict the corresponding stock price on a particular date. The results are used to determine the model's accuracy.

Published by: Rajesh K. S., B. S. Darshith, Amaresh A. Channad, Amaresh R. Vasisth, G. JayavardhanResearch Area: Computer Science Engineering

Organisation: Rajarajeswari College of Engineering, Bengaluru, KarnatakaKeywords: Machine Learning, Dicky Fuller Test, NSE India, Data Extraction, L-Jung Box Test

Review Paper

251. Forensic podiatry evidence and admissibility in court

Daubert standard is a set of criteria used to determine whether expert testimony is admissibility in Court. Under the Daubert standard, the trial judge serves a role as the “gatekeeper” who determines whether expert testimony is considered reputable and relevant. Similarly, the judge employs a Dubert test to verify whether the testimony of the expert is based on scientifically valid reasoning and whether it has been properly applied to the facts of the issue [1][2]. The procedure of scientific examination that fails to comply with the Daubert standard may result in the rejection of any expert testimony in the court. In the matter of footwear impression evidence examination, the evidence of footwear impression identification was first accepted in court in 1786 in the Richardson case at Kirkcudbright in Scotland [3]. Footwear impression evidence has been accepted in the US Court since the 1930s. The techniques and methods used in footwear evidence examination are widely accepted in several forensic science communities and the ACE-V methods have been described in numerous forensic journals, books, and seminars around the world. Evidence of footwear impression is regularly accepted in courts in the United States, Canada, and Europe as well as other many countries in the world but so far several Indian courts have ruled that the footprint and footwear impression evidence is a “rudimentary science” and they cannot be safely relied upon. [4][5][6]

Published by: Harendra Nath SinghResearch Area: Forensic Science

Organisation: Forensic Science Laboratory, Kolkata, West BengalKeywords: Daubert Standard, Forensic Podiatry, Footprint, Footwear Impression Evidence, Expert Witnesses

Research Paper

252. Advancement in filtration techniques of air purifier

The air purifier industry has seen growth in terms of demand and sales. All credit goes to massive industrialization in developing and developed countries. As a result, a lot of research has been focused on the various methods of purifying the air. The effect of air pollution on health is complex and their individual impact varies from one another. It is not only the ambient air quality in the cities but also the indoor air quality in the rural and urban areas that are causing concern. In fact, in the developing world, the highest air pollution explosion occurs in an indoor environment. This paper deals with a sterilizer that integrates multiple layers of filtration, purification, sterilization, and air freshening. This air sterilizer consists of multiple layers of filters. It is capable of purifying indoor pollutants like particulate matter PM1.0, PM2.5, microparticles, smoke, the peculiar smell in the air and reduces hazardous materials such as benzene, amici, fungi, molds, and formaldehyde, etc. also at the same time it can kill bacilli and organic substances in the air. It also destroys air-borne viruses and infecting germs like TB, Influenza, Dengue, Allergies, etc.

Published by: Rima Nandurkar, Pallav Kumar GopalResearch Area: Bio-Medical Engineering

Organisation: Smith Pharmaceuticals, Nagpur, MaharashtraKeywords: Air Pollution, PM1.0, PM2.5, Air Purifiers, Semi-Conductor

Research Paper

253. Smart crop protection system from wild animals and birds using IoT

In forest zone and agricultural fields human-animal conflict is a major problem. Due to those attacks, people lose their crops, livestock, property, and sometimes their lives. So this zone is to be monitored continuously to prevent the entry of wild animals. With regard to this problem, we have made an effort to develop a system which will monitor the field. The system will detect intrusion around the field using a camera that will capture the image of the intruder and sends notifications to farm owners and forest officials using Message. India is an agricultural country. Agriculture has always been India’s most important economic sector. Wildlife tracking involves acquiring information about the behavior of animals in their natural habitat. This information is used both for scientific and conservation purposes. The primary form of information that needs to be obtained is the location of the animal at certain points in time and this is generally referred to as tracking or radio–tracking.

Published by: Sumana P. B., Sanjana.R, Sharanya.M, Harish.N.JResearch Area: IoT

Organisation: Global Academy of Technology, Bengaluru, KarnatakaKeywords: IoT, PIR Sensor, Arduino Uno, Python Anaconda, GPS module, Twilio Messaging Service

Research Paper

254. Web-based system for face mask detection and face recognition

Even though people are now getting vaccinated, it might still take time for things to come back to normal. Until then, wearing masks and social distancing is the most effective preventive measure against the spread of COVID-19. This leads to the necessity of a system that will detect face masks in real-time video streams. Our solution detects whether a person is wearing a mask or not. If he/she is not wearing a mask then his/her photo would be captured and given as input to a face recognition system that will identify the person. The solution further provides the person’s information to the administrator and allows him to take any further action if needed. The above solution is implemented using neural networks to detect masks and the website is created using the Google Flutter framework. The ‘Web-Based System for Face Mask Detection and Face Recognition can be used to ensure the safety of people by implementing it in the large crowd gathering places like college campuses and offices.

Published by: Pranjal Rane, Ritvik Patil, Ojas Natu, Prahlad Pore, Pranay ShridharResearch Area: Computer Science

Organisation: Vishwakarma Institute of Technology, Pune, MaharashtraKeywords: Mask Detection, Deep Metric Learning, Real-Time, Face Recognition, Resnet Neural Network, Dlib, Web App, Firebase

Research Paper

255. Study on heat transfer analysis of AC condenser by varying materials and refrigerants

An AC condenser is a vitally important part of an air conditioning system that performs much of the cooling function. The condenser causes latent heat rejection by the refrigerant. The design of the condenser can vary from system to system. One of the most commonly used designs is the finned tube design. The material of the tubes and the fins, become the decisive factor in the rate of heat rejection and ultimately in the performance of the condenser. In this work, an air-cooled finned tube condenser is designed for a vapor compression cycle-based air conditioning system. The modeling is done using Solidworks and the fluid flow and heat transfer analysis are done in Ansys. To evaluate the effects of different materials on the performance of the condenser, copper is used as the tube material while, Aluminium alloys, 1060, 6060, and 7050 are used for fins. Two different types of refrigerants, namely, R32 and R134a have been used for analysis. Thermal analysis is done to determine the temperature distribution and heat flux for different sets of materials and different refrigerants. By comparing the results obtained with different combinations, the optimal combination can be determined.

Published by: Vemula Nagarjuna, Vasili SrinivasResearch Area: Thermal Engineering

Organisation: Malla Reddy Engineering College(Autonomous), Hyderabad, TelanganaKeywords: Condenser, Fins, Aluminium Alloys 1060, 6060, 7050, Refrigerants R32, R134a, Thermal Analysis, and Heat Flux

Research Paper

256. Fundamental Frequency estimation and analysis of speech signal

The fundamental frequency is a critical component in speech signal processing analysis. The fundamental frequency (fo) is the rate at which the vocal cords vibrate, and the fundamental frequency range for a person is 120 to 400 Hz. This basic frequency varies depending on the size and form of the vocal cords, and it might differ for males, females, and children. Different time domain and frequency domain pitch detection techniques are utilized. The time-domain methods include autocorrelation and AMDF (Average Magnitude Difference Function), whereas the frequency domain algorithm is Cepstrum. The fundamental frequency may be determined by pitch preprocessing and extraction.

Published by: Mahesh M. Kamble, Tejal S.BandgarResearch Area: Engineering

Organisation: PVPIT, Budhgaon, Sangli (affiliated to Dr. Babasaheb Ambedkar Technological University) MaharashtraKeywords: Autocorrelation Function, Speech Recognition System, Center-Clipping Pitch

Research Paper

257. Social distancing monitoring system using computer vision and YOLOv3

In the fight against COVID-19, social separation has proven to be an extremely successful strategy for slowing the disease's transmission. People are being motivated to limit their interactions with one another to reduce the risk of the virus spreading through physical or close touch. In the past, AI/Deep Learning has shown promise in solving a variety of everyday problems. We shall see a full explanation of how we may utilize Python, Computer Vision, and Deep Learning to detect social distancing in public spaces and workplaces in this suggested system. By analyzing the real-time video streams from the camera, the social distancing detection tool can determine whether people have kept a safe distance from each other in public settings and the workplace. We can integrate this tool into their security video systems to check if people at work, in factories, and in stores are keeping a safe distance from one another.

Published by: Devanshi Gupta, Saumya Srivastava, Sonali P. DashResearch Area: Computer Vision

Organisation: Bharati Vidyapeeth Deemed University College of Engineering, Pune, MaharashtraKeywords: COVID-19, Social Distancing, Computer Vision, Birds Eye View, Camera Calibration

Research Paper

258. Production, assay, and optimization of Chitinase enzyme produce by bacterial isolates from fish waste dumped soil

The effective chitinase enzyme reducing organisms were isolated from prawn shell dumped soil. The isolates were named as FS1 &FS2. The chitinase enzyme was produced only when the organisms was grown on medium containing the prawn shell powder. Optimizations of enzyme production (pH, temparture, substrate concentration) were carried out. In this study both FS1(46.7U/ml) FS2 (77.8U/ml) bacterial strain produced maximum chitinase at pH 7.0. maximum chitinase enzyme was obtained in 0.5% substrate concentration (140U/ml) in 96hrs by FS1 and in 0.8% in substrate concentration (93.3U/ml) in 72 hrs. This enzyme was highly used for antifungal activity.

Published by: K. Shameem Rani, S. KulandaivelResearch Area: MICROBIOLOGY

Organisation: MSS Wakf Board College, KK Nagar, Tamil NaduKeywords: Chitin, Prawn Shell, N-acetyl-D-Glucosamine

Research Paper

259. Prediction of the stock price using Machine Learning techniques

As people's interest in forecasting stock prices has been increased in recent years, research on stock price analysis using big data and artificial intelligence. In this paper, we performed sentimental analysis by this work by creating and analyzing a sentimental vocabulary using news items. We can get the positive index of news stories using the sentimental dictionary. We can get the positive index of news stories for each date using the emotive dictionary. We can get the positive index of news stories for each date using the emotive dictionary. We can confirm the utility and possibility of sentimental analysis in the stock market by examining the correlation value between the positive index value and the stock return value.

Published by: Apoorva Y.Research Area: Online

Organisation: Rajarajeswari College of Engineering, Bengaluru, KarnatakaKeywords: Stock Price Analysis, Sentimental Analysis, Sentimental Dictionary, Positive Index Value, Stock Return Value

Research Paper


White pebbles of Silica origin, found in large quantities at Lonar Crater has been reported, though the source and origin of these pebbles as well as big boulders and basaltic rocks appearing white in color is not yet understood still. Research papers on Lonar Crater has not reported the abundance of pebbles and boulders present in Lonar Crater affected area, so far river pebbles and Lonar Crater pebbles exhibits similar in characteristics, physically and in chemical compositions, but boulders of big size are not found in any other water body or wetland water body. It has been reported through this paper of such big boulders and concluding that Lonar pebbles and big size boulders are not Lonar Crater origin. They have been transported by human activity and natural calamity. Boulders and pebbles may not be the evidence of meteorite impacted at Lonar Crater. They are not related to meteorite impact or volcanic eruption. They are not formed from the impacts of meteorites or volcanic eruptions.

Published by: Harishchandra Bala Mali, Raju D. JadhavResearch Area: Maharashtra

Organisation: Independent ResearcherKeywords: River Pebbles, Lonar Crater, Lake Periphery, White Pebbles/Silica Pebbles, Big Size Boulders

Review Paper

261. Object segregation using R-CNN

Computer vision is the science of computers and pack-age systems that can also recognize how images and scenes are perceived. PC Vision consists of a variety of solutions that include image recognition, object recognition, image generation, super-resolution of images, and much more. widely used in facial recognition, vehicle recognition, pedestrian counting, network mapping, security systems, and autonomous cars, but here we have a tendency to specialize in completely different sensible objects, those with different kinds of fruits, buttons, coins, etc. In this project, we use extremely correct object recognition algorithms and methods like RCNN, FastRCNN, FasterRCNN, Mobilnet, and fast but extremely correct methods like SSD. If we understand frameworks by using dependencies like TensorFlow, OpenCV, etc., we can recognize every single object in the image through the realm object in a highlighted area and determine every single object and assign its label to the object. This also includes the precision of every technique used to distinguish between objects.

Published by: Nihal Kumar Singh, Aakash Singh, Ashish Prasad, S. UshaResearch Area: Convolutional Neural Network

Organisation: RajaRajeswari College of Engineering, Bengaluru, KarnatakaKeywords: Object Detection, Tensorflow, Opencv, Python, Tensorboard, R-CNN

Research Paper

262. A novel approach to acquiring communication through ‘LSRW’ skills

Language learning and communication are skill-building activities, which can be developed and acquired by doing…doing…doing a lot of practice. If we talk about language learning and communication, everyone should remember about the four key skills – Listening [L], Speaking [S], Reading [R] and Writing [W]. Without the acquisition of these major skills, it is impossible for anyone to be competent enough to converse in English with others.

Published by: Dr. S. R. KannanResearch Area: English Language Teaching

Organisation: Kathir College of Engineering, Coimbatore, Tamil NaduKeywords: Acquisition, Communication, Listening, Speaking, Reading, Writing

Research Paper

263. Progressive collapse analysis of steel frame structure in different earthquake zones

The progressive collapse of structures is initiated by the loss of one or more load-carrying members. As a result, the structure will seek alternate load paths to transfer the load to structural elements, which may or may not have been designed to resist the additional loads. Failure of overloaded structural elements will cause a further redistribution of loads, a process that may continue until stable equilibrium is reached. Equilibrium may be reached when a substantial part of the structure has already collapsed. The resulting overall damage may be disproportionate to the damage in the local region near the lost member. Loss of primary members and the ensuing progressive collapse are dynamic nonlinear processes.

Published by: Mohammed Aamair Ameen, Jitesh Jagannath DhuleResearch Area: Civil Engineering

Organisation: Trinity College of Engineering and Research, Pune, MaharashtraKeywords: Progressive Collapse, Alternate Load Path, ETABS

Research Paper

264. Psoriasis stages detection through image processing

Air Pollution can have numerous unfavorable impacts on the skin. In thickly populated regions, skin infections are more normal. These infections can effectively affect lives and make an extraordinary requirement for determination. This proposition centers around precise analysis utilizing picture handling. This strategy intends to identify skin infections by looking at the information picture. This includes separating the info picture to eliminate clamor and changing it over to grayscale. At last, picture division is performed. To diminish the information that should be prepared by the classifier, highlight extraction is utilized. To recognize skin illnesses, the SVM (Support Vector Machine), is utilized for picture grouping. Innovation has made it simpler to analyze and treat sickness rapidly. The proposed technique can recognize skin conditions, for example, rosacea and melanoma with a high precision speed of 89%

Published by: Prabaharan J, Srihari U., Sharath C, ThanujKumar V, Vishal SResearch Area: Machine Learning

Organisation: Rajarajeswari College of Engineering, Bengaluru, KarnatakaKeywords: Image Processing, Skin Disease

Survey Report

265. Smart waste management system

India is the second most populated country in this world. Waste produced daily is huge due to this reason waste management has been an unsolved problem for many years in our country. As we step into digitalization and urbanization, we need to take a smart step to curb waste in our country. The system aims at contributing to the smart city by better managing the waste generated. It is one of the many solutions in dealing with the waste generated on daily basis using modern technologies. Major issues of waste management in our city are overfilled garbage bins, improper disposal of waste, and delayed cleaning process. The system addresses these issues using various sensors and other components controlled by RASPBERRY PI 3B+ which helps in detecting and notifying the authorities once the waste is discarded into the garbage bin. With the help of the developed system overfilled garbage bins can be resolved by real-time monitoring of the bins. It also specializes in dealing with improper waste disposal. Through continuous monitoring, the system updates the data to the cloud which can be accessed by the respective authorities and the private sector companies which are collaborated. The system majorly aims at managing waste by implementing modern technologies like Internet of Things and Embedded Systems. The model is a culmination of components like sensors, microcontrollers, motors, etc. The developed system also caters to global problems like pollution, land fillings, and foul smell. Finally, this paper finds a complete survey of solution for waste management problems and helps in keeping our city clean and provides hygienic environment to citizens.

Published by: Ankitha A., Ramya S M, Geetha B V, Supriya K VResearch Area: ELECTRONICS And COMMUNICATION ENGINEERING

Organisation: Vemana Institute of Technology, Bengaluru, KarnatakaKeywords: RASPBERRY PI 3B+, Internet of Things, Embedded System, Sensors

Research Paper

266. Emotion-based media player

Currently, people will overall dynamically have more pressing factors since of the awful economy, high regular expenses, etc Paying thoughtfulness regarding tune is a key development that assists with diminishing pressing factors. Regardless, it may be silly if the music doesn't actually gauge up for the current sensation of the crowd. Additionally, there is no music player which can pick tunes subject to the customer's feelings. To deal with this issue, this endeavor proposes an inclination-based music player, which can suggest songs reliant upon the customer's sentiments; hopeless, happy, fair-minded, and irate. The application gets a facial picture from a web camera. It then uses the request methodology to recognize the customer's inclination. Then, the application returns tunes that have a comparative perspective as the customer's inclination. The test outcomes show that the proposed approach can precisely mastermind the happy inclination considering the way that the beat extent of this inclination is wide.

Published by: Dr. Rajesh K. S., Heba Farheen B., Hemalatha K., Indhu V. S., Sadiya BanuResearch Area: Computer Science Engineering

Organisation: Rajarajeswari College of Engineering, Bengaluru, KarnatakaKeywords: Music Player, Emotion, Heart Rate

Research Paper

267. Analysis on cost-effective cloud server provisioning for the predictable performance of big data analytics

Because of server over-supply, cloud data centers are underused. Cloud providers are offering consumers the option of run king workloads like BID analysis of under-used resources as cheap yet revokable transition servers to increase their use of the data center (e.g., EC2 spot instances, GCE preemptible instances). Although at very low pricing, large data analysis can drastically impact work performance on unreliable cloud transient servers due to instance revocations. This study offers a cost-effective transient server delivery mechanism, iSpot, to address this issue by focusing on Spark as a model of the large-format data analysis system (DAG)-style Directed Acyclic Graph (DAG). First of all, a precise long-term short-term memory (LSTM) pricing prediction approach detects the stable cloud transient servers during the workflow execution. By employing automated work step profiling, Spark's DAG data acquisitions may create the iSpot Supply Strategy to ensure task performance on steady transient servers and develop an analytical model and provide Spark with a lightweight crucial data control mechanism. Extensive EC2- and GCE-instance prototype studies reveal that while saving workplace costs up to 83:8% as compared to state-of-the-art server supply policies, iSpot is able to ensure the performance of large-data analytics running on cloud transient servers. The overhead overtime is still acceptable.

Published by: R. Sumathi, U. DhanunjayaResearch Area: CSE

Organisation: S. K. University, Anantapur, Andhra PradeshKeywords: Directed Acyclic Graph (DAG), Long-term Short Term Memory (LSTM), BIG Data Analysis (BID)

Research Paper

268. Crime Prediction using Naïve Bayes Algorithm

This paper presents the detection of the crimes happening in India. The criminal offenses lead to certain punishment according to the Indian Penal Code (IPC). For particular crimes, particular sections are assigned to punish the criminal or convicts with jail terms and fines. On these pre-processed data sets, by applying the Naïve Bayesian algorithm we create a predictive model which analyzes the data and helps to predict the crime type in a near future. We are using a dataset to apply the Naïve Bayes algorithm to predict crimes in India.

Published by: Mohammad Tahir, Md Asif Anwar, Ruma Afsha Sultana, Manjunath S. R., Fardeen KhanResearch Area: Machine Learning

Organisation: Raja Rajeswari College of Engineering, Bengaluru, KarnatakaKeywords: Naïve Bayes Algorithm, IPC, Text Classification, Real-Time Prediction

Research Paper

269. Modeling and CFD simulation of double pipe heat exchanger with different mass flow rates

In this study, the efficiency of a double pipe heat exchanger with the plain tube as well as coil insert tube is investigated by using water and various nanofluids mixed with water. Silicon Oxide and silver nanofluid are the nanofluids mixed with water at volume fractions of 0.35 percent. The properties of nanofluids are determined by theoretical calculations, which are then used as inputs for analysis. CATIA parametric software is used to build a 3D model of the double pipe heat exchanger (plain and coil insert tube). At different mass flow rates of 0.32, 0.52, and 0.72 kg/sec, CFD analysis is performed on the double pipe heat exchanger with water, silicon oxide, and silver nanoparticle. Furthermore, theoretical calculations on the double pipe heat exchanger were performed.

Published by: Koduri Nithesh, Vasili SrinivasResearch Area: Thermal Engineering

Organisation: Malla Reddy Engineering College, Hyderabad, TelanganaKeywords: CFD, Nano Fluid, CATIA, Coil Inserts, and Mass Flow Rates

Research Paper

270. Heart disease clustering using K-Mean analysis

Clustering is a method of grouping records in a database based on certain criteria. One method of clustering is K-Means Clustering. K-Means Clustering divides data into multiple data sets and can accept data inputs without class labels. This research uses the K-Means Clustering method and implements it on the Heart disease dataset. In this paper, the risk factors that cause heart disease are considered and predicted using the K-means algorithm and the analysis is carried out using publicly available data for heart disease. The dataset holds 209 records with 8 attributes such as age, chest pain type, blood pressure, blood glucose level, ECG in rest, heart rate, and four types of chest pain. To predict heart disease, a K-means clustering algorithm is used along with data analytics and visualization tool. The paper discusses the pre-processing methods, classifier performances, and metrics. In the result section, the visualized data shows that the prediction is accurate.

Published by: Gomanth D ReddyResearch Area: Data Science

Organisation: SRM University, Chennai, Tamil NaduKeywords: Clustering, K-Means Clustering

Research Paper

271. Measurement of service quality in the banking system -A case study of State Bank of India (SBI)

The rapid growth in population and technology in India has led to rapid development in the service industry in the country. The aim of this study is to establish the aspects of the customer’s view on the service quality offered at the State Bank of India (SBI). To place customer’s needs into the quality dimension, a Survey questionnaire is developed to obtain customers' responses on the level of quality of services offered. Then, Factor analysis (FA) was carried out on the customer responses obtained through a questionnaire survey. Analytic Hierarchy Process (AHP) basically helps to establish the weights of the banking service quality dimensions. Technique for Order Preference Similarity to Ideal Solution (TOPSIS) is employed to obtain the ranking of different branches basing on the weights of quality dimension obtain from AHP.

Published by: Levi Ptang Uny CheworeiResearch Area: Engineering

Organisation: Andhra University, Visakhapatnam, Andhra PradeshKeywords: The Survey Questionnaire, Service Quality, Factor Analysis (FA), Analytic Hierarchy Process (AHP), Technique for Order Preference Similarity to Ideal Solution (TOPSIS)

Research Paper

272. The Current Status of Folk Theatre and Traditional Folk Theatre forms of Odisha

The theatrical tradition of Odisha has been flowing through various streams of theatre like Classical Sanskrit Theatre, Folk Theatre, Traditional Folk Theatre and Modern Odia Theatre. Basically the tradition of Folk Theatre and Traditional Folk Theatre has been playing a vital role in the performing art medium of Odisha as well as India since its origin to till today. But subsequently many changes have been occurred in these forms of theatre arts due to the impact of Modernity and Globalization. Some of them have already been died and others are struggling for their survival. So this study aims to identify the exhaustive list of Odia Folk Theatre and Traditional Folk Theatre and its current status.

Published by: Ajita Kumar MuniResearch Area: Art

Organisation: Utkal University of Culture, Bhubaneswar, OdishaKeywords: Folk Theatre, Traditional Folk Theatre, Exhaustive list of Folk Theatre and Traditional Folk Theatre Forms of Odisha, Origin, Development, Content, Style of presentation, Performance and literary aspects, Current Status and conclusion.

Research Paper

273. Development in pervious concrete by using the green concept

Pervious concrete or No fineness concrete is a conventional concrete that is used in foreign countries for draining stormwater and increasing the groundwater level. This project is mainly based on the investigation and increasing the strength characteristics of Pervious concrete. The mix design is designed considering only cement and coarse aggregate since the concrete is a “NO FINENESS CONCRETE”. The mix ratio is considered as 1:6 and the water-cement ratio is taken from 0.4-0.45. The admixtures are added in % of cement for Nano silica & % of concrete for polypropylene. The final outcome to be received is an increase in the strength of pervious concrete by improving their characteristics and make them utilized for Road pavements.

Published by: Amruta Banne, Pratiksha Patil, Harshali Jadhav, Priti Salunke, Rohini Jamadar, Vaibhavi Khatake, Ankita Bura, Ameer Husain JamdarResearch Area: Civil Engineering

Organisation: Vidya Vikas Pratishthan Institute of Engineering and Technology, Solapur, MaharashtraKeywords: Pervious Concrete, Nano Silica

Research Paper

274. Remote locking system for secure examination using MQTT protocol

At every level of education in our system, we have to face examinations to check our knowledge on the curriculum exams designed on our domain basis. Frequently we have heard the news regarding the online exams question paper dropouts which will be a very bad drawback effect in the life of the students hence in our proposed system by using the Remote Locking system the Human intervention is completely removed thus it protects the examination paper dropouts at a maximum level. In the Remote locking system if the lock is released from the authenticated person, then only the paper can be taken printout for the conduction of the exam.

Published by: Kavya R., Sahana B. R., Geethashri K. V.Research Area: IoT

Organisation: Vidya Vikas Institute of Engineering and Technology, Nadanahalli, KarnatakaKeywords: Paper Locking System, Question Paper Dropouts, Remote Locking With Zero Human Intervention

Research Paper

275. Inappropriate construction equipment delay factors a Structural Equation Modelling (SEM) approach

Construction equipment improvement is a trend in the market, and it has several advantages. Inappropriate construction equipment, on the other hand, creates delays in construction projects, harming the firm's reputation. A lot of studies on overall delay have been undertaken around the world. NonethelessHowever, there is a scarcity of studies on construction delays induced by inefficient construction equipment. The purpose of this article is to look into the reasons that cause construction equipment delays and how they affect the firm's reputation. The issues identified in the focus group interviews and the literature survey were used to create a report. To determine the impact of these factors on the progress of Indian building projects, a questionnaire survey was undertaken. The main constraint was that all 300 replies had to be gathered in person from building professionals in order to avoid skewed results. The positive strength of each factor's link was determined using Pearson correlation coefficients. To check if there was a significant difference between the respondents' firm categories, a t-test was utilized. The effective association between the causes of delays due to improper construction equipment and the effects on the company's reputation was validated using structural equation modeling (SEM). The improper construction equipment elements are associated among themselves and combined to influence the company's reputation, according to all of the components investigated by the SEM analysis. To overcome the ineffective equipment delay issues, recommendations are offered.

Published by: Salih MahdiResearch Area: Civil Engineering

Organisation: Andhra University, Visakhapatnam, Andhra PradeshKeywords: Construction Delay, Inappropriate Equipment, Management, Inventory, Equipment Selection Equipment Replacement


276. Prediction of future terrorist activities using Machine Learning algorithm

The exponential increase in internet users has led people to start using technology-based development for carrying out activities against the law. According to the studies made from previous knowledge and experiences it can be found out that, cyber terrorism puts out stress and anxiety, increases feelings of intrusion, threat and hardens the political frame of mind. Therefore, it is important to identify the fact that cyber terrorism has had a very awful and shocking effect on our society. Thus, With the use of a Machine learning model, it helps us to predict the possible future terrorist activities by detecting the instigating text messages in social network platforms. The proposed system aims to develop a method for of prediction of future terrorist activities using a machine learning algorithm that will help the system in detecting potential terrorist attacks and in providing safeguards and strengthening defense for required areas consequently lessens the loss of life and property. Along with that it also provides Fast detection to illegal activity, improving information accuracy. It has the ability to distinguish between instigating (terrorism-related) messages and non-instigation (non-terrorism-based) messages. This method also helps in identifying the user responsible for sending such messages and also recognize the specific messages and also shows the best machine learning algorithm that best fits and that can be used for prediction based on the accuracy analysis of the algorithms.

Published by: Santhosh Kumar S., Akshatha M. N., Arun Malle, Aishwarya Bhat, H. Sai RohitResearch Area: Machine Learning

Organisation: KS School of Engineering and Management, Bengaluru, KarnatakaKeywords: Decision Tree, RFA (Random Forest Algorithm), NBC (Naïve Bayes Classifier), K-NN algorithm, Training phase, Testing Phase

Research Paper

277. Effect of honey mixture therapy on obesity among adolescent girls residing in selected hostels

The present study was conducted to assess the effect of honey mixture therapy on obesity among adolescent girls. Objectives: Assess the degree of obesity among adolescent girls, Assess the effectiveness of honey mixture therapy on obesity among adolescent girls, Find the association between obesity and selected demographic variables of adolescent girls. Methodology: Quantitative approach was used for the study and a pre-experimental one-group pre-test post-test design was selected. This study was based on the Penders health promotion model. Data were collected from 30 obese adolescent girls residing in selected hostels at Perinthalmanna using a nonprobability purposive sampling technique. Semistructured interview schedules on sociodemographic data and physiological methods were used to obtain baseline pre-test measurements. Honey mixture therapy was administered for 45 days and post-test measurements were also collected. The data were analyzed and interpreted by using descriptive and inferential statistics. Results; the mean post-BMI score (27.79) is less than the mean pretest score(28.20). The obtained t value is 0.85 and the p-value is 0.40. The mean difference is not statistically significant. The study also revealed that there is a significant association of obesity with the availability of pocket money. Conclusion; the study concluded that there is a nonsignificant reduction in BMI followed by administration of honey mixture therapy for a period of 45 days.

Published by: Sini Neeruzhi, Surumi K. A.Research Area: Nursing

Organisation: Al Shifa College of Nursing, Perintalmanna, KeralaKeywords: Honey Mixture Therapy, Obesity, Adolescent Girls, BMI

Research Paper

278. Domain-agnostic Customer Sentiment Analysis Platform for MSMEs in E-Commerce

This paper aims to tackle the problem of MSMEs being unable to gauge customer sentiment through text-based reviews on e-commerce platforms. The paper suggests a front-end algorithmic solution to the problem which is simple yet impactful in that it allows MSMEs to understand consumer behavior and psyche with minimal or no resources. The platform, which can be adopted by any e-commerce enterprise, uses web scraping frameworks and natural language processing-based sentiment analysis to extract, demystify, and present various metrics and actionable insights essential to analyze underlying sentiment. The proposed end-to-end solution aids MSMEs in fostering sustainable customer relationships and boosting business growth and prosperity.

Published by: Veer Kejriwal, Aqsa TemrikarResearch Area: Computer Software and Machine Learning

Organisation: Jamnabai Narsee International School, Mumbai, MaharashtraKeywords: MSME, E-commerce, Web-Scraping, Sentiment Analysis, Natural Language Processing

Research Paper

279. Does Anganwadi make a difference in the nutritional status of children?

ICDS centers, commonly known as Anganwadi Centres (AWC) started in the year 1975 mainly to fulfill the nutritional requirement of children along with essential integrated health services. The objective of this research is to know “how Anganwadi centers are working for improving the nutritional status among children”. Methods: The secondary data collected through the National Family Health Survey is used to analyze the effectiveness of Anganwadi Centres on child nutrition. Both bivariate and multivariate analyses have been carried out for this paper. Results: Over the years, the proportion of children accessing supplementary food from the Anganwadi/ ICDS has been declined. Further, recent data shows that percentage of children receiving food is high among poor households as compared to better-off households. However, the results of both bivariate and multivariate analyses show that there is no substantial difference in nutritional status of children between ICDS-covered and non-covered areas. Conclusion: There is no significant positive impact of supplementary nutrition through Anganwadi Centres on the malnutrition status of children. Therefore, the government should take steps for regular monitoring to ensure quality services through the Anganwadi centers. Then only, all the children will access adequate supplementary food and that would definitely make a change in the nutritional status of children.

Published by: Kamalakanta TripathyResearch Area: Health and Nutrition

Organisation: Fakir Mohan University, Balasore, OdishaKeywords: Nutrition, Anganwadi, Children, Supplementary Food

Research Paper

280. IoT based string failure detection and monitoring system

To harness reliable energy efficiently, the photovoltaic string system must remain in its best condition. This requires continuous maintenance and monitoring. However, in the case of weather dependable energy yield change. We proposed a novel real-time monitoring system utilizing a small but efficient artificial neural network that is adequate to run on a low-cost system. To get the desired electrical output in various environmental conditions, it is required to analyze the faulty, or shaded, or dust-covered string, and maintain it with an intelligent monitoring system. The proposed string monitoring system can identify if the string exhibit degradation due to fault conditions.

Published by: Srijeyanthi P., Sivakumar R., Cebu A., Karthick C., Rajeshwaran M., Subhash S.Research Area: Engineering

Organisation: V. S. B Engineering College, Karur, Tamil NaduKeywords: String Fault, Arduino, Solar, Dust Sensor, Energy Yield

Research Paper

281. Insights of IPL: 2008 to 2020 and why it is interesting

Cricket runs through every Indian’s blood; without Cricket one cannot imagine India. Cricket is also the most famous outdoor sport in India as there is a huge craze of it in every age group of people. Also, India has been very much the pioneer of modern-day cricket that is the T20, it can be said that because of the Indian Premier League the advent of T20 started in the world. In the modern era with such high technologies available in every sport, one of the most important things is statistical data. This research paper mainly focuses on the results of the matches taking various factors into consideration such as the toss analysis, season-wise number of matches, team performances, and also the venues where the matches were played.

Published by: Rakshit Patel, Mihir BrahmbhattResearch Area: Data Mining and Analysis

Organisation: G H Patel College of Engineering and Technology, Anand, GujaratKeywords: Statistical Data, Factors, Analysis

Research Paper

282. Light Fidelity Trident

All around the world, the internet continues to transform how we connect with others, organize the flow of things, and share information. With its growing influence on individual consumers and large economies alike, the internet has become an increasingly vital part of our day-to-day lives. In the era of IoT (internet of things) security, speed and cost are the major problems that are to be solved in the world. The current wireless networks that connect us to the Internet are very slow when multiple devices are connected. Also with the increase in the number of devices which access the Internet, the availability of fixed bandwidth makes it much more difficult to enjoy high data transfer rates and to connect a secure network. The solution to this problem is the light fidelity trident technology which ensures high security, speed and a much broader spectrum for transmission compared to the existing technology. The IoT devices can be made compatible and in-sync with Light fidelity trident, for a more enhanced functioning. Light fidelity trident can conveniently accommodate multiple access points, as it is required by IoT connectivity, by using simple light bulbs as terminals. Light fidelity trident concept is similar to Light fidelity but uses the concept of RGB multiplexing scheme to produce white light spectrum. Each color carries different data, so the speed is ten times better than conventional Light fidelity. Light fidelity trident is not only faster than the existing light fidelity but also thrice more secure. Light fidelity trident is the future of data communication.

Published by: Keerthan Gowda B. M.Research Area: Network Engineering

Organisation: Jain Pre-University College, V V Puram, Bengaluru, KarnatakaKeywords: Internet, IoT (Internet of Things), Bandwidth, Light Fidelity Trident, Light Fidelity, RGB(Red, Green, Blue), Light Spectrum, Data Communication

Research Paper

283. The phenomenal growth and mastering the tradition of Bharatanatyam

A concept of framing work to approach the Bharatanatyam recital which incorporates a variety of dance compositions set in Bharatanatyam is Margam. Through the element of Margam, the theme of the evolution of the self/ spirit on the spiritual path is put forth. “The traditional order of the Bharatanatyam from alarippu to thillana is the sequence for revealing the spiritual through the corporeal. Typically a sequence of Bharatanatyam recitals consists of an invocatory piece, a central piece, an abhinaya piece, and a culminating piece. Today this art evolving and changing the scenarios from a pure ritual art of the temple to the performance sequences on the stage.

Published by: S. Sophia, Dr. S. SubbulakshmiResearch Area: Fine Arts

Organisation: Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, Tamil NaduKeywords: Bharathanatyam, sculptures, Badami, Aihole, Vijayanagar, Halebid, Belur, Chinayya, Ponnayya, Shivanandan, Vadivelu, Tanjore quartet, Marga (format) to the Bharatanatyam, Jetti Taayamma, Kōlar Tradition, Mysūru tradition, Mūgur tradition, Nañjangud tradition, Thodayamangalam / Pushpanjali / Mallari / Kautuvam / Allaripu Jatiswaram, Shabdam, Varnam / Swarajati, Padam / Javali, Astapadi, Kirtanam, Tillana, Slokam, Mangalam

Research Paper

284. Child malnutrition: Rural-urban disparities in Jabalpur district

Malnutrition among children under five has remained a major public health challenge in developing countries and has constituted a long-time barrier to a healthy life and a constant threat to human capital development. It is widely noted that children raised in urban areas are generally healthier than in rural areas. Therefore to know the gap between rural-urban children under five years a study was conducted in Jabalpur District. To find the prevalence of malnutrition, a house-to-house survey was conducted. Gomez classification was used to classify children on the basis of weight for age. Results showed that 53.44% of children were malnourished in urban areas while a maximum of 66.67% of children was found malnourished in rural areas.

Published by: Samiha Tiwari, Dr. Nandita Sarkar, Dr. Meera ViadyaResearch Area: Child Malnutrition (Food and Nutrition)

Organisation: Govt. M.H. College of Home-Science and Science for Women (Autonomous.), Jabalpur, Madhya PradeshKeywords: Child Malnutrition, Rural-Urban, Under Five Years

Case Study

285. Casestudy of drainage line improvement at Kumar chowk, Solapur

This study is carried out to review various research works carried out by researchers on the effects of poor drainage on road pavement. Poor drainage causes early pavement distresses leading to driving problems and structural failures of roads as pointed out by researchers. To prevent or minimize premature pavement failures and to enhance the performance of the road, it is imperative to provide adequate drainage, the review covered: the importance of highway drainage systems in road construction, requirements of the highway drainage systems, and effects of the bad drainage systems on roads. The research pointed out areas of concern for drainage designers and road engineers that are of great importance during road construction to ensure that, the constructed road is put to use without failure before the actual design life. The review concluded that the effect of poor drainage conditions on a road is very adverse. It causes the failure of roads in different ways and as well economic hardship on inhabitants of affected communities with the devastating effect of sicknesses as a result of breeding of mosquito especially on streets in towns with poor drainage capacity. Proper drainage system provided to the road at its early edge. Therefore effective engineering practices should be considered necessary during the design, construction, and management of roads and drainage channels.

Published by: Shubham Devidas Hibare, Ashwini Shrirang Bhosale, Viresh Rajshekar Swami, Lalita Sudarshan Dussa, Bhavana Satish Burla, VIJAYRAJ KURMADAS PATIL, Rajeshwari Ambadas Bidave, Sanjay R. BugadeResearch Area: Civil Engineering

Organisation: Vidya Vikas Pratishthan Institute of Engineering and Technology, Solapur, MaharashtraKeywords: Drainage, Roads

Research Paper

286. Effect of rebar coating in the prevention of corrosion in RC structure

Corrosion of the reinforcement in concrete structures had been realized to be a serious problem worldwide in the 60s & 70s & the number of damages still increased considerably in the 80s. Corrosion in steel reinforcement is one of the most significant factors in the deterioration of Reinforced Concrete Structures Rebars Corrosion carbonation of Concrete & Chloride Attack Affects almost 50% The Durability of concrete structures. Earlier studies Indicated the Reinforced Concrete structures Remain durable for the whole of their design life, Approximately more than 60 years, Even maintenance-free. The purpose of this study is to evaluate and compare the relative merits of the two coating systems for reinforcing bars in concrete. Also, this study helps to know the nature and characteristics of both epoxy coated and Zinc Coated Steel for use as reinforcement in concrete. Also presented is an overview of the results from recent experimental work on the comparative corrosion behavior of uncoated Steel, epoxy-coated steel, and Zinc Coated Steel in concrete.

Published by: Thejus H. R., Sanjay B. N., Ravikumar R., Santhosha G., Shalini G. V.Research Area: Civil Engineering

Organisation: RajaRajeshwari College of Engineering, Bengaluru, KarnatakaKeywords: Rebar, Corrosion, Epoxy, Zinc, Reinforcing Steel

Research Paper

287. S-Pay (Secure Payment system for students)

S-Pay proposes a cashless transaction system for small-scale organizations such as schools and colleges, by designing an RFID terminal device and database server. The designed system consists of an RFID card as e-money which will be implemented in an ID Card, terminal transaction device, and database server. RFID acts as a unique ID owned by the user to identify themselves to authorize their transactions. The main objective of this project is to reduce the amount of human effort in dealing with cash inside campuses and also making it easy for students to purchase items inside the campus without compromising safety. Each transaction will be authorized by a PIN that is only known to the owner of the card. A website is developed from which students can log in to their account and know their current balance, see their transaction log and also change their PIN if required. Moreover, students won't be able to spend this money outside the college campus as the money is credited to their account which in turn is credited to a database that is not valid outside the campus, it is more like a currency that is only valid inside the campus.

Published by: Vaishnav G., Megha M. S., Sandra Sivaprasad, Nishley Elizabeth JosephResearch Area: Computer Science

Organisation: Marian Engineering College, Kazhakkoottam, KeralaKeywords: RFID, Raspberry Pi, Database

Research Paper

288. Studies on diversity of medicinal plants in Dnyanganga wild life sanctuary of Buldhana district (Maharashtra)with reference to animal uses

India in the world is known for its indigenous biodiversity. As per India is concerned, medicinal plants have prime importance in the Indian religion, tradition, and Ayurveda. Buldhana district is a remote and small city in the Vidarbha region covering 966 thousand hectares area situated at 19.51N’ and 75.57 E -76 .40 E. Climate is dry, cold and the forest type is dry and deciduous with rainfall of 685mm. the forest coverage is 1168 sq.km., which is 12% of the total area. It harbors relatively rich plant diversity of flowering plants, timber trees, and medicinally important species. The significant information about these plants is collected from the local tribals, Ayurveda, and authentic publications.

Published by: Dr. Rasika N. PatilResearch Area: Life Science

Organisation: Shri Shivaji College of Arts, Commerce, and Science, Akola, MaharashtraKeywords: Biodiversity, Medicinal Plants, Forest, Ayurveda, Etc

Research Paper

289. Role of rural credit in the socio-economic development of Himachal Pradesh

In India, rural development is contemplated as a prerequisite for fastening the pace of economic development and the welfare of the common masses. Rural development environs all the objectives of advancement and amelioration of the overall quality of the rural life through the provision of minimum needs and livelihood, adequate development of manpower resources, and infrastructural facilities. Thus, the present paper makes an attempt to analyze the need and the importanc