Volume-7, Issue-5

September-October, 2021

Research Paper

1. Application of lean principles to reduce break down cases in processes in automotive product development- A case study of Toyota company limited

The production process in the manufacturing industries has proven wasteful of the resources in the production process over time. integrating lean principles in manufacturing activities has brought notable success in a complex and slow production process in an industry. This study aims at integrating lean principles into a product development process to eliminate breakdown cases as it makes the process easy as well as speeding up the product development in the automotive industry. Three major phases are applied in product development namely; the early concept phase, middle core design, and the launch phase. An exceptional definition of products development of lean principles is applied to come up with an analysis framework. Through interviews, observations, documentation, and experience barriers that cause a large number of wastes can be established. Lean principles will then be applied to eliminate such causes in the product development and then derive the conclusion that shows the industry the process of lean in product development in the entire process

Published by: Levi Ptang Uny CheworeiResearch Area: Engineering

Organisation: Andhra University, Visakhapatnam, Andhra PradeshKeywords: Lean, Quality Tools, Productivity, Lean Principles, Continuous Improvements, Lean Manufacturing, Lean Transformation

Research Paper

2. Encryption and real-time decryption for protecting machine learning models in Android applications

With the Increasing use of Machine Learning in Android applications, more research and efforts are being put into developing better-performing machine learning algorithms with a vast amount of data. Along with machine learning for mobile phones, the threat of extraction of trained machine learning models from application packages (APK) through reverse engineering exists. Currently, there are ways to protect models in mobile applications such as name obfuscation, cloud deployment, last layer isolation. Still, they offer less security, and their implementation requires more effort. This paper gives an algorithm to protect trained machine learning models inside android applications with high security and low efforts to implement it. The algorithm ensures security by encrypting the model and real-time decrypting it with 256-bit Advanced Encryption Standard (AES) inside the running application. It works efficiently with big model files without interrupting the User interface (UI) Thread. As compared to other methods, it is fast, more secure, and involves fewer efforts. This algorithm provides the developers and researchers a way to secure their actions and making the results available to all without any concern.

Published by: Aryan VermaResearch Area: Computer Science Engineering

Organisation: National Institute of Technology, Hamirpur, Himachal PradeshKeywords: Android, Mobile Applications, Security, Data Encryption, Model Deployment

Research Paper

3. Analysis of Bitcoin and Blockchain using Game Theory and Behavioural Economics

This paper presents a brief overview of the role that game theory plays in Blockchain Technology and the Bitcoin market, with a focus on how human behavior influences the market for digital currencies. Through this analysis, the viability of digital currencies as a replacement for conventional money is explored.

Published by: Aishi BasuResearch Area: Economics

Organisation: Independent ResearcherKeywords: Game Theory, Behavioral Economics, Blockchain, Bitcoin

Research Paper

4. Building an Intelligent Agent to play Flappy Bird using NEAT

Games are an efficient way to measure the progress of AI. Artificial intelligence has been making rapid advances in recent years, and one way to see how it is progressing is by playing games. Go, Atari2600 and Chess are some AI agents which even defeated human players. These AI agents require or have a training stage involved. In this paper, we propose a training strategy to develop an Artificial Intelligence agent using the NeuroEvolution of Augmenting Topologies (NEAT) algorithm to play the Flappy Bird Game. NEAT basically implements a genetic algorithm that generates ANNs. Our agent learns to safely dodge all the barriers and flap its way through them, optimally playing the famous “Flappy Bird” game.

Published by: Pratik Manoj Desai, Rhugaved Rajendra NarmadeResearch Area: Computer Engineering

Organisation: College of Engineering, Pune, MaharashtraKeywords: Flappy Bird IA, NEAT, Flappy Bird with NEAT, Flappy Bird AI, Artificial Intelligence, Neural Network, Genetic Algorithm, Flappy Bird, Neuro Evolution

Research Paper

5. Effectiveness of Doula care on anxiety and labor outcome among parturients

Pregnancy is a natural event, speculated to be of celebration and joy. But anxiety and fear about childbirth often inhibit most women from enjoying this childbirth experience. Supportive measures involve continuous support during labor by doula and doula care is effective in these situations to reduce anxiety. This study was conducted to assess the effectiveness of doula care on anxiety and labor outcome among parturients in Kanyakumari, India. Methods: This was a quasi-experimental study, conducted among 30 primi parturients who were selected using consecutive sampling techniques, in 2021 in Kanyakumari, India. The tools used for data collection was interview schedule composed of demographic and obstetrical variables, anxiety scale, and labor outcome checklist. Collected data is entered in Excel and analyzed in SPSS 20 using appropriate descriptive (f,%) and inferential statistics (Independent ‘t’ test). Results: Regarding anxiety pretest anxiety scores did not differ significantly between the experimental and control group (p=1.000). After doula care, in the post-test, there was a significantly low anxiety level in the experimental group as compared to the control group (P & lt; 0.001). Conclusion: Doula care is effective in the reduction of anxiety and promotes labor outcomes during childbirth.

Published by: Joylet Paulian, Dr. Arzta Sophia R., Dr. Santhi AppavuResearch Area: Nursing

Organisation: Apollo College of Nursing, Chennai, Tamil NaduKeywords: Doula, Doula Care, Parturients, Anxiety, Labour Outcome

Research Paper

6. Rake- A cross-platform digital product

Rake is a cross-platform release-ready digital product that is a production-level app, making use of all the latest Firebase technologies. This app uses Firebase MLKit, Firebase Firestore & Firebase Authentication for its core functionality. It also uses libraries like Retrofit, Glide, GSON, and more third-party libraries for other functionalities. Firebase MLKit is used to recognize handwriting and text in images, objects in images, and also scan barcodes. This contributes to the main purpose of our app, which labels images and provides the user with context-aware actions of what the user can do next. Firebase Authentication is used to authenticate and help users log in & signup into the app. This uses OAuth 2.0 under the hood, so it is a very secure mechanism for login. Firebase Firestore is used as a database to store the user’s scanned data so that he can refer to it for later use. We’re also using our own custom TensorFlow Lite model, named ‘mobilenet’, to detect images. The app can be accessed via the web portal as well. Firebase Authentication lets the user login on to the web portal, which can be found at the rake.now.sh, and give the user access to his data on Firebase Firestore. This extended functionality where the user can access his data enhances the ease of use and makes sure that the user doesn’t always need a mobile device to see his previously scanned data.

Published by: Ganavi J., Amith S. BharadwajResearch Area: Web Development and Machine Learning

Organisation: Altiostar, Bangalore, KarnatakaKeywords: Image Classification, Text Recognition, Barcode Scanning, Reverse Image Search, REST API, Android, Web Mining, Cross-Platform, Firebase


7. Supercharge the dopamine naturally for a good feel

“Happiness depends on ourselves.” More than anybody else. Yes when an exogenic force shakes our mental equilibrium to drop down, we must be aware to reboot with our God’s pharmacy app that is inbuilt in our body. Dopamine also plays a big role in our ability to think, plan, focus, and engage in activities; it drives motivation. If dopamine levels are low, we may struggle with motivation or feel a little down. Thankfully, there are some incredible ways to increase dopamine levels naturally. So, let us dive into the natural mood-boosting hacks that will drive us to positivity and success. This article scribes down to unveil the ways to boost our hanging android that is sad and sorrows, weary and worn out by just activating the hormone app that is inbuilt as God’s Pharmacy.

Published by: Dr. Esther John, Priscilla PrabuResearch Area: Community Health Nursing

Organisation: Ganga Institute of Health Sciences, Coimbatore, Tamil NaduKeywords: Dopamine, Boosting, Supercharge

Research Paper

8. Automated real-time detection and reporting accidents using IoT based helmet

In recent days, road accidents are occurred as regular habits by mainly using motorbikes. The goal of this project is proposed to prevent, detect and report the accidents to the respective authorities. This may reduce severe accidents and as well as may save the lives of people. We propose the solution, where the helmet itself initiates communication to report the accident using a person’s phone. Our design consists of Arduino Microcontroller, transmitter and receivers, and sensors. By using RF transmitter and indicator, indicates that the person is wearing a helmet, if it doesn’t indicate which means the person doesn’t wear a helmet. Only then does the bike get started. So, this will be the initial prevention in this design. If a severe accident occurs, the pressure sensor in the helmet detects the pressure limit, then python code executes and triggers the alert message using cloud authentication. Mobile application catches the trigger and obtain the device’s location and sends the alert message to nearby hospitals, relations. There will also be a buzzer sound to alert the nearby people to draw attention, even if it is unable to send an alert message. If there is a mild accident and no injury, there will be a reset button to cancel the sending of the alert messages using a secret PIN.

Published by: Karthik B.Research Area: Internet of Things

Organisation: Panimalar Engineering College, Chennai, Tamil NaduKeywords: Accident Reporting, Accident Prevention, Emergy Alerts

Research Paper

9. Adsorption Behavior of Cu, Al, Mn, Sr, Pb, Cd, Zn, and Ca Metal Ions on Cation Exchange Resign Dowex 50 WX8 (NH4+ form) from Aqueous Acetone – Ammonium Propionate Media

In the field of inorganic separation, the incentive to explore the use of non-aqueous or mixed solvent has been enhanced selectivity’s, discovered quite early in such media for Zeolites [1] and ion exchange resins [2]. The partial substitution of an aqueous solution by organic solvent produces a number of changes in an exchange system. The electrolyte plays a significant role in the ion exchange equilibrium with aqueous solutions. This effect is expected to be even more important in the adsorption equilibriums of metal ions from mixed aqueous organic solvents. Adsorption equilibrium depends on the properties of the organic solvent and the reaction with resin and electrolytes which determine the equilibrium. The metal ion exchange on cation exchangers and their uses has been done.

Published by: Rajan KambleResearch Area: Chemistry

Organisation: Bhogawati Mahavidyalaya, Kurukali, MaharashtraKeywords: Dowex 50 WX8 (NH4+ form), Ammonium Propionate, Distribution Coefficients, Binary Mixtures, Eluting Agent

Review Paper

10. The Effect of Nylon Fibers in Self-Consolidating Concrete (SCC)

Self-compacted concrete (SCC) is a unique type of concrete that settles into the formwork and fills all of its corners without the use of compaction or vibration. Because SCC has a higher flowability, it becomes brittle and performs poorly under stress and bending. One of the most effective ways to increase the tensile and flexural performance of SCC is to include randomly distributed short and discontinuous fibers. In this regard, this experimental study is undertaken to investigate the effect of nylon fibers (NF) on the fresh and hardened properties of SCC. Two different lengths, 20 mm and 12 mm, were used, as well as five different volumetric percentages of NF, 0.1, 0.2, 0.3, 0.4, and 0.5 percent. The results demonstrated that adding NF to SCC had a minor effect on its fresh characteristics. However, the magnitude of the influence is not large enough to be considered a significant factor. According to EFNARC criteria, the fresh characteristics of whole mixtures are within the required range. With the addition of NF, the strength qualities improve. the extent of increment is greater for the longer length of NF. The optimum volumetric fraction of NF for producing high strength SCC was found as 0.5%. The fresh properties of complete combinations are within the required range, according to EFNARC guidelines. The strength properties enhance with the addition of NF. The length of NF has a significant impact on the amount of increment. The volumetric proportion of NF required to produce high-strength SCC was discovered to be 0.5 percent.

Published by: Qasim AlsherifyResearch Area: Civil Engineering

Organisation: Andhra University, Visakhapatnam, Andhra PradeshKeywords: Self-Compacting Concrete, SCC, Nylon Fibers, NF

Review Paper

11. Sentiment analysis of COVID-19 Vaccination Tweets on Twitter using Machine Learning Algorithm

After Declaring pandemic in March 2020 public health prevention measures have proven to be somewhat effective in limiting the spread of COVID-19. Protective immunity through vaccination will be great importance of in ending the pandemic. This work aims to identify the sentiments of the masses towards vaccination by analyzing the text tweets. 68,654 tweets are retrieved from Twitter posted within the timeline from December 2020 to January 2021. Sentiment, polarity score, and subjectivity score were computed and analyzed on the basis of text and date columns. According to the polarity and subjectivity scores, tweets were classified as positive, negative, and neutral using the TextBlob library of natural language processing. Also, the user’s view on the vaccination was analyzed using machine learning algorithms such as Naïve Bayes (NB) and Logistic Regression (LR). The highest accuracy achieved was 90% by Logistic Regression (LR). It was observed from the results that the sentiments towards the vaccine were positive on the initial day but a shift to negative sentiments was observed. Later, the sentiment towards vaccines is again positive.

Published by: Disha JethvaResearch Area: Information Technology

Organisation: Shah and Anchor Kutchhi Engineering College, Mumbai, MaharashtraKeywords: COVID-19, Machine Learning, Naïve Bayes, Sentiment Analysis, Time Series Analysis, Vaccine

Case Study

12. The Biofuel Price Stabilization Mechanism

This article studies the capacity of biofuels to reduce motor fuel price fluctuations. We hypothesize the dependence between crude oil and biodiesel blend prices in Spain and the EU. Copula models are a method of study. Results suggest that the practice of blending biodiesel with diesel can protect consumers against extreme crude oil price increases. This can also help reduce the carbon emissions and the Green House Gases (GHG's) emitted upon burning fossil fuels

Published by: Soham DasResearch Area: Chemical Engineering, Sustainable Energy

Organisation: JSPM's Blossom Public School, Pune, MaharashtraKeywords: Biodiesel, Copula, Green House Gases (GHG's)

Research Paper

13. Hydraulic Analysis of Lekhnath small town Water Supply Distribution Network, Pokhara Metropolitan City, Nepal

Drinking Water is the most important factor to be considered for a sustainable and healthy life for humans. United Nation’s Sustainable Goal No. 6 also considers ensuring the availability of clean and safe drinking water to all. Water Distribution Network designed earlier is having challenges in fulfilling the growing need for water supply. Forecasting and monitoring the flow, pressure, demand, and quality of water in the water distribution networks are key requirements for sustainable and reliable water supply. Lekhnath, due to the recent merger with the biggest metropolitan city of Nepal, Pokhara, has created the rapid growth of population resulting in haphazard pipeline extension in this area. For hydraulic analysis of Lekhnath Small Town Water Supply Distribution Network, one of the networks i.e, Shishuwakhudi distribution network was taken as problem analysis. This hydraulic analysis research case is a part of ongoing doctoral research and Youth-led Initiative ‘drink Pani’ on ‘Water Supply and Quality Monitoring using Emerging Technologies’ where the capacity building of Youth and Women through data-driven engagements (Water-informatics) is one of the core targets in the overall project-work package. The preliminary analysis of water quality is also derived from Young Water Volunteers (YWVs) under the research work on Youth-led Participatory Sensing (YPS) Model to enhance drinking water security of the study area. The Shishuwakhudi Water Distribution Network (WDN) supplies water to 1138 households at present and consisting of 41 junction nodes and an 11.2km distribution pipeline distributing water from a reservoir. With field survey, household at each node of the network was determined. Demand-driven analysis using EPANET was done to determine the pressure deficit at the various nodes. Demand pattern based on design guidelines was adopted for analysis. In the present scenario, four nodes at end of the network showed negative pressure at peak hours (5 am- 7 am). At other times, the pressure was above 10m head. Demand was forecasted for 10 years from now by projecting the household population based on the growth rate of census 2011. When projected to the future scenario, the existing pipeline showed only 17% reliability with a minimum pressure requirement of 10 m head as per norms of urban water supply projects in Nepal.

Published by: Kripa Ranjit, Amrita Gautam, Kishor Kumar Shrestha, Amin MinaeiResearch Area: Civil Engineering - Water Supply Engineering And Management

Organisation: Institute of Engineering, Tribhuvan University, Pokhara, NepalKeywords: Water Distribution Network (WDN), Water Supply and Quality Monitoring, EPANET, Hydraulic Analysis, Reliability, Youth-led Initiative, Capacity Building

Research Paper

14. Accident detection and rescue system

The Rapid growth of technology and infrastructure has made our lives easier. The advent of technology has also increased the traffic hazards and the road accidents take place frequently which causes huge loss of life and property because of the poor emergency facilities. The incidence of accidental deaths increased by 44.2% in 2011 from 2001. Our project will provide an optimum solution to this drawback. Nowadays we are able to track vehicles using many applications which helps in securing personal vehicles, public vehicles, feet units and others. Furthermore, there is a rapid increase in the occurrence of Road accidents. This paper is about a system that is developed to automatically detect an accident and alert the nearest hospitals and medical services about it. This system can also locate the place of the accident so that the medical services can be directed immediately towards it. The goal of this paper is to build up an Accident Alert System Using Arduino. The system comprises Sensors, GPS & GSM Module support in sending messages. The Sensors is used to detect vibrations and impact are used to detect an accident. Short Message will contain GPS [Latitude, Longitude] which helps in locating the vehicles

Published by: Mihri Lad, Om Bellilkatti, Kanshiq Ladha, Deepak KhachaneResearch Area: IOT

Organisation: New Horizon Institute of Technology and Management, Thane, MaharashtraKeywords: GSM, GPS, Arduino


15. Morphometric Analysis of middle Kaligandaki Sub Basin and Flood Mapping using HEC-RAS

Watershed analysis based on morphometric parameters gives an idea about the basin characteristics regarding slope, topography, soil condition, runoff characteristics, surface water potential, etc. These characteristics are very important for watershed planning and management. The potential disaster of flash flood and soil erosion is anticipated by studying morphometric parameters of the Kaligandaki basin. In the middle Kaligandaki sub-basin, the Kaligandaki river from Tatopani to Modibeni has human settlements concentrated along its sides like the Beni bazaar. They are always at risk of erosion and flood inundation. In monsoon, due to heavy rainfall, the Kaligandaki river erodes and inundates the lands near its bank. From the analysis of morphometric parameters, the erosion and inundation of land near river banks are justified. The study of flood inundation map obtained by processing discharge of river in HEC-RAS indicates the settlement and structures near the river are very prone to flood disaster. This study can be referenced for flood planning and disaster reduction measures in the Beni bazaar.

Published by: Kalyan Paudel, Kaushal Chandra G. C.Research Area: Civil Engineering

Organisation: Tribhuvan University, Kirtipur, NepalKeywords: Morphometric Parameters, Flood Inundation, Erosion

Research Paper

16. Breast Cancer Classification using Python

This article aims to evaluate the prediction models of machine learning classification in terms of accuracy, objectivity, and reproducible of the diagnosis of malignant neoplasm with fine needle aspiration. Also, we seek to add one more class for testing in this database as recommended in earlier studies. We present six various classification methods: Multilayer Perceptron, Decision Tree, Support Vector Machine, Random Forest, and Deep Neural Network for evaluation. In the field of assisted cancer diagnosis, it's expected that the involvement of machine learning in diseases will give doctors a second opinion and help them to form a faster / better determination. There is an enormous number of studies in this area using traditional machine learning methods and in other cases, using deep learning for this purpose.

Published by: M. Rishika Reddy, P. Harshavardhan, V. Aashrith Surya, Kosgi Rohith, D. HaswanthResearch Area: Computer Science

Organisation: The ICFAI Foundation for Higher Education, Hyderabad, TelanganaKeywords: Machine Learning, Support Vector Machine, Deep Neural Network, Decision Tree, Random Forest

Case Study

17. Assessing the knowledge of caregivers of patients undergoing peritoneal dialysis in the Mahaweli c region, Sri Lanka

Continuous Ambulatory Peritoneal Dialysis (CAPD) was identified as the best alternative treatment for developing countries like Sri Lanka having an increasing number of CKD and CKDu patients. Caregivers of CAPD patients play an important role in this treatment regime. However, the assessment of knowledge of caregivers of CAPD patients was not conducted systematically. This study aims to evaluate the knowledge of caregivers and improves the knowledge. The study was conducted in three stages, i.e. pre-interventional, interventional and post-interventional. The results obtained by the pre-intervention were analyzed and gaps were identified under each key area. Strategies were identified to achieve better patient safety practices. Further, the training/ workshop plan was conducted to improve the knowledge of caregivers at Divisional Hospital Girandurukotte. To check the effectiveness of the intervention statistically, a paired t-test was used. Correct answer count was obtained for each caregiver before and after data sets separately and marks were assigned for knowledge of each caregiver. Then averages were calculated for both datasets. Finally, using the paired t-test, before and after average marks were compared. The percentage of caregivers who gave correct answers increased after the intervention. Paired T-test results illustrate that there is a significant difference between before and after intervention Since the p-value is less than the 5% significance level, it can be concluded that after the intervention average marks of caregivers increased. Therefore, this intervention positively impacts the caregiver’s awareness. Therefore, continuous educational programs for all patients and caregivers who receiving CAPD treatment are recommended to improve knowledge about treatment.

Published by: Y. M. S. S. Yapa, L. Gunerathne, S. N. Kumari, S. R. JayasingheResearch Area: Health

Organisation: Postgraduate Institute of Medicine, University of Colombo, Colombo, Sri LankaKeywords: CAPD, Mahaweli C Region, Caregivers

Research Paper

18. Restoring data from one cloud to another cloud in case of disaster

Nowadays, a tremendous amount of information is produced, and it needs a data recovery management system so that the data can be recovered in case of a disaster. Different cloud service providers offer security to the users and clients despite the risk that their systems may go down due to disaster. So, there is a need to recover data services in the developing stage, which requires evolution and organized powerful data rescue methods if data is lost in a disaster. Recovery methods aim to support user’s sensitive data that should be protected in a disaster. There are many reasons for it. Various procedures have been submitted in an environment like security breach (ransomware attack), water flood, sudden fire, earthquake, device mistake, or non-expected reason for deletion of information which might not be available permanently. Recovery aims to eliminate massive data recovery from one cloud platform to another cloud platform, which can be considered a part of cloud computing.

Published by: Prashant BiradarResearch Area: Cloud Computing & Backup

Organisation: College of Engineering, Pune, MaharashtraKeywords: Aws, Azure, Cloud

Review Paper

19. Factors influencing Immunization Coverage among children 12-23 months of age in Bastar division from 2013 to 2020 – A review.

Bastar is a backward division in the state of Chhattisgarh with a large tribal population (32%). It is affected by left-wing extremism [2] It has 7 districts, and all are included in the Aspirational district program of NITI Aayog. In India, proper vaccination could prevent about 3 million deaths per year [2,15]. This vaccination drive is affected by several factors, which may vary from place to place depending on social, cultural, and developmental status Although there are many studies on factors influencing immunization in other parts of the country, there was a dearth of literature in Bastar division. This study reviews the literature for the factors affecting immunization coverage in the Bastar division, a culturally unique entity. After removing duplicates from the 23 articles, a total of 12 factors were discovered. The main issues were a lack of human resources, inaccessibility, low female literacy, and a lack of infrastructure. Haat bazaars, a lack of awareness, a sick infant, an inconvenient time, AEFI, the place of delivery, lockdown, and birth order were among the others.

Published by: Dr. A. Rabiya Basri, Dr. S. Nagulan, Dr. Punit JhaResearch Area: Health and Science

Organisation: District Hospital, Bijapur, ChhattisgarhKeywords: Factors, Immunization Coverage, Bastar

Review Paper

20. Problems in India's rural area and rural development programmes

India is a predominantly rural country with a rural population of over 65%. To develop India effectively, it is important to develop villages first. That is why Mahatma Gandhi's future lies in the villages of India. Seventy years after our country's independence, there is no sustainable development in rural areas. In the direction of alleviating these problems, the government needs to undertake different rural development programs. As the countryside embodies its own design, character, and elegance, it is necessary to engage the rural population in the effort to alleviate these problems and hire an economist or sociologist with special knowledge of rural meaning and society. The Indian economy is characterized by agrarian dominance. More than 60 percent of India's population is engaged in agricultural activities for livelihood and survival. The Indian economy wants to make $ 5 trillion by 2025. The rural economy plays an important role in this sector. The rural economy has the potential to create decent and productive jobs and contribute to sustainable development and economic growth. Promoting decent work in the rural economy is key to eradicating poverty and meeting the nutritional needs of the growing country's population.

Published by: Dr. TejaswiniResearch Area: Economics

Organisation: Government First Grade College, Tekkalakote, Ballari, KarnatakaKeywords: Development Rural Area, Agricultural Activities

Research Paper

21. Smart Intravenous Monitoring System

In the Medical field, the Need for good patient care in hospitals, assessment, and management of fluid and electrolytes is the most fundamental thing required. Almost in all hospitals, an assistant/nurse is responsible for monitoring the electrolyte’s bottle level. But unfortunately most of the time, the observer may forget to change the bottle at the correct time due to their busy schedule. To overcome this critical situation, an IoT-based automatic alerting and indicating device is proposed where the sensor is used as a level sensor or weight sensor. The Automated glucose stream control and observing framework are tied in with checking the progression of glucose consequently. At whatever point if patients get a lot of tiredness that time medical caretaker will put the glucose for the recuperation of patients. While putting the glucose bottle she just needs to control the progression of glucose amount. In the event that the glucose bottle got unfilled, a medical caretaker ought to be there to supplant or evacuate the container. In case the nurse isn't there, that time the patient's body blood will flow into the container in an inverted bearing. For taking the weight of the bottle we use a Weighing scale. As indicated by the weighing scale the flow will control the progression of glucose. Many devices introduce a drastic change for monitoring the body measures like blood pressure, heartbeat rate, diagnosis of heart attack symptoms, and much more automatically with interdisciplinary nature. The health care system is becoming more valuable these days. In this proposed system the IV fluid monitoring system automatically sends a message to the nurse through SMS technology. This technology reduces the work of the nurse instead of keeping on watching an IV Fluid system. One of the greatest advantages of our project is the ease of interface with users which functionally can be managed by means of the mobile application.

Published by: Guru S. S., Abdul Razack M., Harish D., Jino RichardsonResearch Area: Computer Science

Organisation: Prathyusha Engineering College, Tirur Village, Tamil NaduKeywords: Polyvinyl Chloride (PVC), Single-Chip Microprocessor (SCM), Intravenous (IV), Integrated Development Environment (IDE)

Review Paper

22. Identifying Malicious Facebook Apps

Third-party apps are a big reason for Facebook's success and addictiveness, with 20 million installs every day [1]. Regrettably, hackers have discovered the potential of leveraging applications to propagate malware and spam. The issue is already serious, as we discovered that at least 13% of the apps in our database are malicious. Until far, researchers have concentrated their efforts on spotting malicious messages and campaigns. In this research, we examine whether we can tell if a Facebook application is malicious just by looking at it. The development of FRAppE—Rigorous Facebook's Application Evaluator—arguably the first tool focused on detecting fraudulent apps on Facebook— was a major contribution. We used data acquired by observing the posting behavior of 111K Facebook applications across 2.2 million Facebook users to create FRAppE. First, we identify a collection of characteristics that assist us in distinguishing between malicious and benign programs. As an example, we find that malicious apps often share names with other apps, and they typically request fewer permissions than benign apps. Second, leveraging this FRAppE can detect malicious apps with 99.5 percent accuracy, no false positives, and a low false-negative rate, according to our findings (4.1 percent ). , We investigate the ecology of malicious Facebook apps and the ways by which they spread. Surprisingly, we discover that many apps collaborate and promote one another; in our dataset, 1,584 apps enable the viral spread of 3,723 additional apps through their posts. In the long run, we see FRAppE as a step toward establishing an independent watchdog for app evaluation and ranking, with the goal of alerting Facebook users before they install apps.

Published by: Dr. Ali Ahmed RazzaqResearch Area: Computer Engineering

Organisation: Andhra University, Visakhapatnam, Andhra PradeshKeywords: Online Social Networks, Facebook Apps, Malicious Apps, Profiling Apps

Research Paper

23. Perspectives regarding the quality of supervision among dental postgraduate students in Bengaluru city, Karnataka

Supervision is an important pillar in supporting the learning environment throughout post-graduate education. It is also one of the most important contributors to the successful completion of a higher education degree and to a student’s positive academic experience. Objectives:- The aim of the present study was to assess the perspectives regarding the quality of supervision among dental postgraduate students in Bengaluru city, Karnataka. Methods:- From a total of 18 dental colleges,9 colleges were randomly selected using a lottery method. All the postgraduate students from these selected dental colleges were included in the study. A total of 297 students participated in the study. The results were analyzed using SPSS, version 19(SPSS Inc. Chicago, IL, USA) in frequencies and percentages described as basic information. Results:- Overall, the majority of the post-graduate students were satisfied with the supervision they received and had similar perspectives about all the domains. Conclusions:- The study concluded that post-graduate students were satisfied with the overall supervision they received. The main elements contributing to a positive supervision experience were support, guidance, availability, and good communication between supervisees and supervisors.

Published by: Dr. Preetika Parmar, Dr. Radha G., Dr. Rekha R.Research Area: Dental

Organisation: Vokkaligara Sangha Dental College and Hospital, Bengaluru, KarnatakaKeywords: Post Graduate Students, Supervision, Dental Students, Quality of Supervision

Research Paper

24. Green Internet of Things in smart cities

‘Change is the only constant thing in the world.” The invention of the computer resulted in wanting more better computers and greater and advanced features. The same goes on for IoT. The Internet of Things also known as IoT is the ultimate building block for smart objects. A search for better and environmentally sound function resulted in Green IoT. A Smart city comprises all the basic necessities but in a smarter version. From the bed light before sleeping to the automated alarm to wake one up. Everyone is surrounded by Smart objects. These objects have definitely made our life easier. However, a change in life may have both good and bad consequences. Despite the benefits of IoT, energy consumption is still on the rise. This problem brought the solution motivated by achieving a sustainable smart city incorporated with Green IoT. This not only saves the extra energy which it was utilized priorly by IoT but also works efficiently. The Green IoT is a new advancement in technology and this paper discusses the merits, demerits, and various recommendations.

Published by: Sakshi Sushilkumar PatelResearch Area: Computer

Organisation: G. H. Patel College of Engineering and Technology, Anand, GujaratKeywords: Internet of Things, IoT, Green IoT, Sustainable, Smart Cities

Research Paper

25. Facial expression recognition

Facial expression is a very difficult task (FER) due to the variation of facial expression across the human population and to the context-dependent variation even for the same individual. We can see that FER  has many applications in the fields like human behavior interpretation and human-computer interface. The study of Mehrabian shows that 55% of the message is comprised of facial expression while 7% of the communication is conveyed by linguistic language whereas 38% by paralanguage during human communication. This shows that facial expression has a significant role in communication. The proposed system uses a webcam to capture our face and determine whether you were smiling or not. The system uses an OpenCV computer vision library to preprocess the webcam image, and in this system, we have used a logistic regression algorithm to train on a provided dataset and evaluate the new image.

Published by: Sakil Ansari, Rohan RautResearch Area: Machine Learning

Organisation: DELL Technologies, Bengaluru, KarnatakaKeywords: Facial Expression Recognition, Facial Expression, Feature Extraction, Classification

Research Paper

26. A study of Machine Learning algorithms to predict liver cirrhosis and its stage

In the early stages, cirrhosis usually doesn’t cause symptoms. Only through routine blood tests or liver biopsy does a doctor diagnose damage to the liver. Using Machine learning we develop a model that can assist doctors in diagnosing the early stages of liver cirrhosis before it gets fatal. In this study, we use various machine learning algorithms to determine the liver cirrhosis stage. Data is collected from the Mayo Clinic trial, USA, in primary biliary cirrhosis (PBC) of the liver conducted between 1974 and 1984. The performance of the algorithms was evaluated using the ROC-AUC curve which is a very practical method of model evaluation for classification problems. Results showed that by applying Logistic Regression to predict the cirrhosis stage we get a ROC-AUC score of 0.74 which is considerable in view of the instance we have.

Published by: Prakash AryanResearch Area: Artificial Intelligence

Organisation: Poornima University, Vidhani, RajasthanKeywords: Supervised Machine Learning, Disease Prediction, Python

Research Paper

27. Recreating Solar Panels: An Integrated Approach

As solar power becomes increasingly popular as a clean and renewable energy source, there is a need to better understand the technology used to convert sunlight into electricity. Bell Labs first used the photovoltaic effect to harness the striking of photons on a solar panel to create an electrical charge. In my paper, I propose two novel methods to increase the efficiency of solar panels. The first method utilizes solar tracking and computer science to tilt solar panels to face directly toward the sun throughout the day to maximize photon strikes. The second method concentrates photons through a magnifying glass to maximize the surface area of light being focused onto the panel. Developing better approaches such as those suggested in my paper have the potential to make solar panels more efficient and affordable, thereby increasing the scope of the solar power market.

Published by: Praneel MidhaResearch Area: Engineering, Technology and Design

Organisation: Vasant Valley School, New Delhi, DelhiKeywords: Solar Energy, Solar Schemes, History of Solar Panels, Working, Method to Calculate Tilt Angle, Solar Tracking, Concave Lens, Survey, Future Utilisation

Research Paper

28. In-vitro Antimicrobial activity of Moringa Oleifera and Ocimum Sanctum leaves against subclinical mastitis-causing pathogens

Among the 164 culturally positive samples, In vitro drug sensitivity test was conducted on 20 samples, and among these 19, 17, 15, 13, 9, and 7 samples showed a sensitivity of 95.00, 85.00, 75.00, 65.00, 45.00, and 35.00 percent to Enrofloxacin, Ceftriaxone, Amoxicillin + Clavulanic acid, Tetracycline, Gentamicin, and Streptomycin, respectively. These samples also showed maximum sensitivity to leaf extract of Moringa oleifera and Ocimum sanctum at 30 mg and 50 mg concentrations with the highest zone of inhibition as 16mm and 20mm, respectively.

Published by: Dr. Aruna Maramulla, Dr. Ambica Gadige, Dr. Lakshmi Kosapati, Dr. Swathi Bommu, Dr. Padmaja Katta, Anilkumar BanothuResearch Area: Veterinary Medicine

Organisation: College of Veterinary Science, Hyderabad, TelanganaKeywords: Invitro, Antibiotic Activity, Moringa Oleifera, and Ocimum Sanctum

Research Paper

29. Spatial Distribution of Cholera cases in Damaturu Town, Yobe State, Nigeria

Cholera disease appears to be a serious infections disease that bedeviled many locales, particularly in developing countries. A single case of cholera is a threat to neighboring areas and a global concern. The distribution of the disease is largely determined by series of environmental factors such as climate, local geography as well as living standards. Similarly, poor sanitation and hygiene are part of the drivers for the disease progression in most affected communities. Based on 10 years of data from the epidemiological unit, this study undertook the spatial analysis of cholera disease incidences in the Damaturu Local government area so as to determine the hotspots of the disease in the area and awareness of the disease among people. Also, six wards were purposively selected and questionnaires were administered to 381 household respondents. Descriptive statistics and GIS tools were used to analyze the data. Results were presented in maps and frequency tables. The findings reveal that there are three high vulnerable areas, five moderate areas, and three low-risk areas. The epidemic was concentrated in Nayinawa, Kukareta, and Maisandari wards. Nearest to the water body and high population density are factors that determine the spread of cholera disease in the study area. Further research is needed especially in the environmental factors influencing the occurrence of cholera in other to prevent and control future outbreaks and disasters.

Published by: Hadiza Usman, Falmata Usman CharangiResearch Area: Medical Geography

Organisation: Yobe State University, Damaturu, NigeriaKeywords: Cholera Outbreak, Hotspot Maps, Epidemics, Endemic, Damaturu, Yobe State

Research Paper

30. Spatial planning in museums for display gallery and its importance

The major issue in the designing of any exhibit space involves one question as to how the layout of the space interacts with the layout of the objects In museums display gallery is a very important area as it is the heart of museum .so while designing the gallery spatial planning is a very important role to play .spatial planning of display gallery not only gives clear vision for curator but also for the visitor who is going to visit the museum. Area for smooth movement of visitors is also one of the aspects for consideration of spatial planning .museums are known for their artifacts and arranging the artifacts in display gallery is directly proportionate to the number of visitors. if the museum has a nice display arrangement along with interesting spaces for visitor’s it will create great revenue for its future .museum will sustain for long life for future generations also .museums in Maharashtra are having great heritage value despite those values it is found that rethinking about display gallery is needed to add some heritage value for its future exitance .few museums are well care taken about its planning and few are still neglected. In few museums are having very high value for their intangible heritage and definitely rethinking should be needed for designing display areas.

Published by: Meghana Patil, Dr. O. P. ChhanganiResearch Area: Architecture

Organisation: Apex University, Jaipur, RajasthanKeywords: Display Gallery, Spatial Planning, Curator, Intangible, Heritage, Heritage Value, Exhibition Space, Etc.

Research Paper

31. Application of operational research in the oil and natural gas industry

Operations research is a science/process in which one applies mathematics to real-life business problems to come up with the most highly effective and efficient solutions/ decisions. Algorithms, simulations, and optimization are the key to finding any solution with the help of OR. The oil and natural gas industry were one of the early adopters of this scientific process and the use of OR helped this industry to grow and overcome several hurdles throughout. The report further provides insights into the different problems faced in the operations of the business in this industry and how different models and theories of Operations Research help in making the best decisions regarding it. We have also discussed in detail how several oil corporations have used OR in their functioning.

Published by: Kajal Mendiratta, Astha Banka, Mehar Swarup, Viraj Chahal, Sanchay BhararaResearch Area: Operations Research

Organisation: Narsee Monjee Institute of Management Studies (NMIMS), Bengaluru, KarnatakaKeywords: Operations Research, Oil, Natural Gas, Chevron, Texaco, Trolls West, China's National Petroleum Corporation

Research Paper

32. Design and analysis of fairings for bicycles

Aerodynamics is the study of moving air's properties and the interactions between moving air and solids. Rider gets slammed into air particles while riding that get compressed once rider hit them and then become spaced out once they flow over the rider. The distinction in atmospheric pressure from your front to your back creates a retardant force. The force that's perpendicular to the oncoming flow direction is the lift force. It contrasts with the drag force. Aerodynamic shapes reduce this pressure drag and lift by minimizing that difference in pressure and allowing the air to flow more smoothly over your front, reducing the low-pressure wake behind the cyclist and reducing this drag, and increasing speed in this paper; fairings designed. NACA airfoil as a base, fairings are designed using CATIA.CFD analysis is carried out on the bicycle with a fairing to calculate drag and lift force. As the position of cyclists isn't modified and due to fairing, the air resistance reduces, which may increase the comfort level of cyclists. From this analysis, the economical fairing can be determined, facilitating additional drag and producing less lift.

Published by: P. Teja Bhavani, Y. Seetharama Rao, B. V. Ramana MurthyResearch Area: Mechanical Engineering

Organisation: Gayatri Vidya Parishad College of Engineering, Visakhapatnam, Andhra PradeshKeywords: Human-Powered Vehicle, Fairings, Drag, Lift, Coefficient of Drag, Coefficient of Lift, CFD Analysis

Research Paper

33. Highlighting symbolism in Maya Angelou's I Know Why the Caged Bird Sings

The purpose of this paper is to explain the strong presence of symbols in I Know Why the Caged Bird Sings by Maya Angelou. In literary works, a symbol is employed to bring out ideas, conceptions, beliefs, and opinions in a more efficient method. Symbolism allows for a multi-dimensional approach to literary writings, allowing readers to grasp the substance of the texts with more clarity. Symbolism is a highly illustrative form of communication that reveals the ultimate truth. The desired meanings are indirectly conveyed through signs and symbols. The goal of symbolism is to achieve a far more profound and significant understanding. Rather than speaking it out loud, an author can employ symbols to convey her views.

Published by: Shruthi J.Research Area: English

Organisation: Independent ResearcherKeywords: Symbolism, Caged Bird, Momma's Store, Arkansas, Self-Acceptance, African-American

Research Paper

34. Application of wind energy in the DC motor control using MATLAB/SIMULINK.

Commercial wind energy is one of the most economical sources of new electricity available today. In this power point presentation, the main objective is to explain how wind energy is used in the control of DC motor. Wind Energy Conversion System (WECS) is done by using a doubly fed induction generator driven turbine in MATLAB/SIMULINK. Speed control of a machine is the most vital and important part in any industrial organization. Now, this DC motor control is done with the help of a H-Bridge circuit. The AC output obtained from the wind energy is converted into DC and is fed to the DC motor. Results obtained by the implementation of WECS and DC motor control model in SIMULINK are presented. Additionally, the switching states required for the four-quadrant operation of a DC motor are presented.

Published by: K. Aravinda Shilpa, Allu Sumalatha, Dalli Bhavya Raga Akanksha Reddy, Katcha Kavya, Chalugu Sai KumariResearch Area: Electrical And Electronics Engineering

Organisation: Andhra University College of Engineering for Women, Visakhapatnam, Andhra PradeshKeywords: H-Bridge, DC Motor Control, Wind Energy Conversion, DC Motor Control Using Matlab/Simulink.

Research Paper

35. A robust TLBO algorithm for solving the ELD problem

This work focuses on a teaching learning-based optimization (TLBO) algorithm for solving economic load dispatch (ELD) problems. The TLBO technique is a recently developed optimization algorithm based on the influence of the teaching-learning process. The best possible dispatches scheduled of the thermal generator are finding using the TLBO algorithm that minimization of fuel cost of a given system. To test the effectiveness of the TLBO algorithm, the proposed algorithm has been applied to three and six generating unit systems for fuel cost minimization. The simulation results achieved by the proposed method are better-optimized solutions for fuel cost minimization.

Published by: Hariom Sharma, Arun PachoriResearch Area: Power System

Organisation: Jabalpur Engineering College, Jabalpur, Madhya PradeshKeywords: Economic Load Dispatch, Evolutionary Computing, Fuel Cost Minimization, TLBO

Research Paper

36. A comparative study to analyze the efficacy of walking and balance training on fall prevention among the elderly population

A comparative study to analyze the efficacy of walking and balance training on fall prevention among the elderly population. OBJECTIVE To find out the comparative effects of walking and balance training on fall prevention in the elderly population. DESIGN: The study is a pretest and post-test experimental design comparative in nature. PARTICIPATION: Twenty subjects aged between 75-85years old with prone to fall were selected from old age home Podanore and treated with walking and balance training. OUTCOME MEASURE: The outcome was measured by using ‘The -4 Stage Balance test’ RESULTS: Statistical analysis done by using paired ‘t’ test and unpaired ‘t’ test showed that there was a significant improvement in subjects who underwent the treatment with walking and balance training. CONCLUSION: It concluded that the patients who underwent the walking had a better effect when compared to the patient who underwent balance training.

Published by: G. Jency Thangasheela, J. Macklin Abraham NavamaniResearch Area: Physiotherapy

Organisation: Cherraan's College of Physiotherapy, Coimbatore, Tamil NaduKeywords: Elders. Fall Prevention, Balance, Walking

Review Paper

37. A holistic view on the National Wind Resource Assessment Program (NWP) of India

India is blessed with immense renewable energy resources in general and wind energy resources in particular. Evaluating the potential of wind energy resources in changing the energy scenario in the country is vital for the development of wind turbine installations in near future. About 38600 MW capacity wind power plants are installed so far as up to December 2020. In the wind energy conversion/utilization, India stands in the fourth position in the world and it is one of the countries with the largest ground measurement databases exclusively for wind power projects. This paper presents a complete overview of the National Wind Resource Assessment Programme (NWP) being implemented by the Government of India through the National Institute of Wind Energy (NIWE) and its role in facilitating the Indian Wind Industry in achieving its key position in the global wind energy scenario.

Published by: Hari Bhaskaran Anangapal, J. Bastin, R. Vinod Kumar, Rajesh KatyalResearch Area: Wind Resource Assessment Studies

Organisation: National Institute of Wind Energy, Chennai, Tamil NaduKeywords: National Wind Resource Assessment Program (NWP), Wind Energy, Wind Resource, India, Wind Power, Offshore

Research Paper

38. Visual relationship detection and Scene Graph Generation using the Bi-Directional Gated Recurrent Unit

Visual relationship detection is an intermediate image understanding task that detects two objects and classifies a predicate that explains the relationship between two objects in an image. Relations among entities play a central role in image understanding. Due to the complexity of modeling (subject, predicate, object) relation triplets, it is crucial to develop a model that cannot only recognize seen relations but also generalize to unseen cases. Inspired by a previously proposed visual translation embedding model, the context-augmented translation embedding model can capture both common and rare relations. The previous Visual translation embedding model maps entities and predicates into a low-dimensional embedding vector space and learns the embeddings guided by the constraint predicate, union(subject, object). In addition to the framework is combined with a language model that learns which relationships are more suitable between pairs of object classes. The model solves the scene graph inference problem using the standard Bi-GRU model and learns to iteratively improve its predictions. Our joint model can take advantage of contextual cues to make better predictions on objects and their relationships from an image. This work explicitly models the objects and their relationships using scene graphs, a visually grounded graphical structure of an image. Where in the graph, the nodes are represented as the objects, and the directed vertex is represented as relationships. The experiments show that our model significantly outperforms previous methods on generating scene graphs using the Visual Genome dataset.

Published by: Monesh S.Research Area: Computer Science

Organisation: Anna University, Chennai, Tamil NaduKeywords: Bi-Directional GAN, Scene Graph, Faster CNN, Visual Relationship Prediction, Computer Vision, Deep Learning, Visual Genome Dataset

Research Paper

39. Vehicle area impact on fuel efficiency in platoon management

Due to the continuous increase in highway transport, the expectation on the automotive manufacturer is increasing for more fuel-efficient solutions. Vehicle platooning attracts considerable attention from the manufacturers and customer business model because of reduced fuel consumption which gives more profits during transportation. Vehicle Platooning is a technique where highway traffic is organized into a group of close-following vehicles called platoon or convoy. In-vehicle platoon management, the lead vehicle is led by one or more following vehicles in the longitudinal direction. This research work focuses on the impact of the vehicle area on fuel efficiency and also demonstrates the importance of vehicle area to achieve better fuel efficiency during platoon management. This paper has been divided into four sections, it starts with an introduction to the vehicle platoon and state of art. The second part of the work describes basic mathematical modeling to analyze vehicle area impact in platoon management. The third part describes the analysis of vehicle area impact in the platoon management and finally concluding the research work.

Published by: M. S. Sunitha Patel, Dr. Srinath S.Research Area: Safe Vehicle Systems, Image Processing

Organisation: Sri Jayachamarajendra College of Engineering, Mysuru, KarnatakaKeywords: Vehicle Platoon, Vehicle Area, Platoon Management, Fuel Efficiency

Research Paper

40. IoT based home automation using FPGA

A comfortable lifestyle is improving with the advance in technology day by day. Internet helps us provide any required information which any individual wants. IoT abbreviation for Internet of things helps us not only to get a comfortable lifestyle but also helps us to establish smooth and errorless transfer in communication. In-Home automation any appliance can be connected through IoT and can be used by our smart phones through application. Home automation is the future of smart homes. Wireless Communication using Wi-Fi is always placed into consideration compared to wired communication, as it is not only reliable but also easy to use. Wireless Communication like Bluetooth, Zigbee has a very short range. IoT uses WiFi to transfer data and it also helps to transfer data over a long-range using Static IP addresses and the Internet. FPGA helps to establish smooth connection between FPGA and home appliances. FPGA board provides high security and flexibility to the circuit. Home appliances are controlled using an FPGA board and it receives commands in serial communication from IoT Module through the application in the smartphone. It can also give us alerts through our application and also through the web IP address which can be protected by a password. It can also help us in long-distance communication with home appliances. There are many more advantages that can help us lead a comfortable lifestyle with IoT and FPGA board.

Published by: Aadesh Pawar, Shubham Gurav, Vanshika Parkar, Swarnima Patole, Satendra ManeResearch Area: Wireless Communication, VLSI

Organisation: Vidyalankar Institute of Technology, Mumbai, MaharashtraKeywords: IoT (Internet of Things), FPGA, VHDL, Hardware Description Language, Android Application

Research Paper

41. Intelligent Accident Detection and Alert System

Road accidents rates are very high nowadays due to various factors. Timely medical aid can help in saving lives. Traffic congestion, lack of ambulance services, no network connectivity are the major elements that delay the provision of medical help. An automated response system is required to resolve these factors. For building such automated systems smartphones with their in-built sensors are excellent platforms. In this paper, we introduce the ADAS (Advanced driver-assistance systems) which will reduce the time gap and ensure medical assistance immediately. The server and the ADAS software are the two main components of this system. In this ADAS client system, the location can be identified with the support of in-built sensors in the Smartphone and it will alert the nearest medical assistance provider, which will enable the team to arrive at the accident site on time. The action time and the death tolls can be decreased with the help of this ADAS system.

Published by: Saravanan T., Swetha S., Sowmiya S., Sindhu N. R., Sneha T., Rithika S.Research Area: Computer Science

Organisation: Bannari Amman Institute of Technology, Sathyamangalam, Tamil NaduKeywords: Accident Detection, Vehicle Accident Alert System, Location Tracking, Smartphone, Medical Assistance, Sensors Software

Survey Report

42. Impact of work from home on Communications in COVID-19 Pandemic

COVID-19 had adversely affected the global economy, causing mass disruption and unemployment. It had tremendously affected all the sectors, causing predicaments in daily chores. Several measures were laid out to re-establish regular routines, Work From Home was one of them. We conducted this study to check the impact of the COVID-19 on communication during Work From Home and the work environment during the corona pandemic. This article describes the working trends during Work From Home in the COVID-19 era of the Indian population. Difficulties developed during working from home and their potential solutions have been highlighted. This paper had discussed the virtual working regimes during Work From Home based on an online survey conducted; we have considered several socio-economic and geographical factors. We focused on working professionals working from home during the first phase of the coronavirus pandemic in India dated between April 2020 to August 2020, where 220 working professionals participated. This article also weighs the importance of electronic meeting platforms, categorized into personal & social network platforms, professional meeting platforms, and remote access and control platforms. The data analysis and interpretation showed that the Work From Home had proven to be more productive for the information technology sector than the manufacturing industry because of the nature of the work involved.

Published by: Yogesh Patil, Ashik Kumar Patel, Yash Gopal Mittal, Ashmak Moon, Sudhanshu Dubey, Milind Akarte, Balkrishna Narkhede, Manoj Kumar Tiwari, K. P. KarunakaranResearch Area: Public Relations

Organisation: National Institute of Industrial Engineering (NITIE), Mumbai, MaharashtraKeywords: Work From Home, Telecommuting, Communication, COVID-19, Coronavirus Pandemic

Research Paper

43. Application of Information Technology in Stock Market

India was introduced to the Internet in the early '90s and the users started to increase rapidly. India stands 5th in the list of countries by the number of internet users. The Stock markets introduced Internet trading (online trading) in February 2002 which has brought a tremendous change in trading. The National Stock Exchange started the first form of online trading wherein users/investors can buy/sell stocks in a day without much paperwork. Earlier it used to take around 60 days to buy/sell stocks in stock markets and the investor also had to go through loads of paperwork. But thanks to Internet the wait has been curbed and in the last ten years, Indian capital markets have recorded 1488% of growth in exchange turnover. The online trading system of NSE is used by companies to make IPOs through book building. It is a fully automated screen-based bidding system that allows trading members to enter bids on behalf of their clients. All bids received by the system are numbered, time-stamped, and stored in the book till the last day of the book-building process, and the offer price is determined after the bid closing date. While ensuring efficient price discovery, this system reduces the time taken for the completion of the issue process.

Published by: Disha BhagatResearch Area: Information Technology

Organisation: Podar International School, Mumbai, MaharashtraKeywords: Information Technology (IT), Stock market, Capital Market, Stock Exchange, IPO (Initial Public Offer), Automated Trading, Technological advancement, Algorithm Trading, Transaction chain, Stock trading sector, Tradelect, Web-based trading, Markets in Financial Instruments Directive (MiFID).

Research Paper

44. Plant Disease Recognition using Artificial Intelligence

The project Plant Disease recognition using AI is made for the farmers to take care of their farms and fields and to help them by recommending and suggesting to them a proper guideline for control measures to be taken. In this Project `Plant Disease Recognition using AI` we have focused on Detecting some plant diseases using Artificial Intelligence by using Various Algorithms like CNN Algorithm. We have used Hardware components like Sensors, Raspberry pi, and ADC convertors and created a sort of handheld device for taking readings from plants and by using face recognition algorithms like CNN and KNN algorithm we detect the disease by comparing the images from the standard images. In This project, we have used Thinkspeak which represents the data from IoT in a pure database format so that the data can be easily analyzed by using various DBMS Techniques. After getting the data from Thinkspeak that data will be undergoing through the various algorithm that we have mentioned in the project which is performed at the backend. In the frontend for the results to be displayed for the user, we will be creating a dashboard that will inform the user about the various diseases that the plant/crop is undergoing. For that we will be using app developing methods like react.js, node.js, ML5.js, etc. . We have used Tensor Flow which is one of the Machine Learning libraries for performing Machine Learning. IoT using Thinkspeak is used as this way we have combined all the software and the hardware aspects of our project to result in a hardcore product which would be very beneficial for the farmers of our country to take proper care of the crops and to take preventive measures so that there won't be any loss to farmers. This project is aiming to make the farmer’s life easy and better. The Sensor Programming is done in python and uploaded to the firebase.

Published by: Taha Qureshi, Durgesh Upadhyay, Rahul Prabhu, Adarsh JadhavResearch Area: A.I and Image Processing using CNN Algorithm

Organisation: Vidyalankar Institute of Technology, Mumbai, MaharashtraKeywords: Plant Disease Recognition, Artificial Intelligence, CNN Algorithm, Sensor Programming

Research Paper

45. Application of Operations Research in Financial Decision Making

“O.R. is the application of scientific methods, techniques and tools to problems involving the operations of a system so as to provide those in control of the system with optimum solution to the problem. -Churchman, Ackoff and Aronoff.” This report includes the application of OR (Operations research) in financial industry. How OR's instruments would avail in solving quandaries such as portfolio management, asset allocation, investment strategies and imperil evaluation etc. Finance management is a very delicate process and needs a very profound understanding in order to realise its functioning. Most of the times avail of experts is required to understand it’s working. OR gives a very efficient method to solve things and get the optimal solution thereby minimizing extra costs and jeopardizations. The topics discussed in the report are 1) Monte Carlo Simulation 2) Index Tracking Fund (Includes Quadratic Programming) 3) Data Envelopment Analysis (DEA). It is difficult to utilize operations research when you wish to make decisions but the conditions are not matched, and when differing objectives conflict with each other. The problems which are being solved through this report are 1) Financial Risk Management 2) Passive Portfolio Optimization 3) Banking Operations and Decision Making.

Published by: Harsh Bhalla, Prachi Kedia, Pulkit Ganeriwala, Moksh Khurrana, Avish ParakhResearch Area: Operations Research

Organisation: SVKM's Narsee Monjee Institute of Management Studies, Bangalore, KarnatakaKeywords: Operation Research, Risk Management, Portfolio Optimization, Money, Financial Problems, Decision Making

Research Paper

46. A model to predict COVID-19 epidemics with application to India, Canada, and France

In this work, our gathering develops a differential conditions model of Coronavirus pandemics. We will most likely expect forward in time the future number of cases from early definite case data in regions all through the world. Our model unites the going with huge parts of Coronavirus pandemics: (1) the amount of asymptomatic compelling individuals (with uncommonly delicate or no signs), (2) the amount of intriguing declared overpowering individuals (with outrageous incidental effects) also, (3) the amount of demonstrative unreported overwhelming individuals (with less genuine indications). We apply our model to Covid plagues in India, Canada, and France.

Published by: Dheepa R.Research Area: Mathematical

Organisation: Thanthai Hans Roever College, Elambalur, Tamil NaduKeywords: COVID-19 Epidemic, Reported and Unreported Cases, Isolation, Quarantine, Public Closings

Research Paper

47. Operational Intelligence for Retail Industry

Operational intelligence in a new domain which is being explored by every business industry to know their customers in a better way possible and satisfy their need. Whenever customers want to purchase any product from a retail website they put a lot of time in searching for the right product at right price from right place. Its becomes difficult to get all this things at one place customer has to check all the sites on which the product is available and then compare and then decide even after deciding he is not sure whether he is getting the product at right price and getting all this information at real time is tedious task. The main objective involves, getting the required information of product price from different websites at real time whenever the customer wants to make a comparison. Giving appropriate discounts on the product so that the business is not in loss and the customers are retained, sending proper messages to respective customer at proper time regarding the best offers. Tracking the customer activities and making its use to the fullest for the benefits of the business industry. The websites which are present till date to not help customer find the right product at right price no real-time comparison of product prices are shown at one place. The customer select product after doing his research and then purchase the product depending on the reviews of the product and the feedback from other customers. There is no mechanism to check whether the reviews provided by other customers are genuine or not. Getting all the information about price at a single place will save time and won't keep a customer in a blind spot while purchasing the product from right place at right price. They will get instant messages regarding the rise or fall of prices or the discounts which will be provided along with that they do not need to worry about the feedback of the product as the products which are being provided is from same brand or company which other websites provide. The website is just a platform for B2C e-commerce

Published by: Shubham Singh, Rishabh Singh, Dilip Sharma, Abhishek SandResearch Area: Operational Intelligence

Organisation: Thakur College of Engineering and Technology, Mumbai, MaharashtraKeywords: Operational Intelligence, Retail Industry, Data Mining, Web Crawler, Python Django, B2C Commerce

Survey Report

48. Career discrepancy and subjective well-being among undergraduate students in close liaison to career decision self- efficacy

The current study aims to establish a possible relation between three variables: career discrepancy. career decision self-efficacy, and subjective well-being. Respondents were 86 subjects currently enrolled as undergraduate students within the territorial boundaries of India. Subjects were to answer items present in the three forms while filling in certain demographic details. The current study had four hypotheses; a negative correlation between career discrepancy and self-efficacy; a positive correlation between self-efficacy and subjective well-being; a negative correlation between career discrepancy and subjective well-being; and career discrepancy and self-efficacy significantly predicting relationship with subjective well-being. Results concluded a significant agreement with the hypothesis, but all correlations were weak. Multiple linear regression revealed a moderate level of prediction, with both career discrepancy and career decision self-efficacy significantly predicting the subjective well-being

Published by: Riya Rajesh Shah, Anushka Thacker, Mitali Maral, Bhavi Mehta, Krutik Shah, Krisha Vyas, Hetvi Sanghavi, Kavya ShahResearch Area: Psychology

Organisation: University of Mumbai, Mumbai, MaharashtraKeywords: Career Discrepancy, Career Decision Self-Efficacy, Satisfaction with Life Satisfaction, Subjective Well-Being

Review Paper

49. Study of medicinal plant species diversity: A scenario of Bhor Taluka, Pune district

The present study focuses on the current state of detailed information about some medicinally important plant species that have been used traditionally. It goes over the general information regarding their traditional uses. Also trying to enhance their sustainable development and conservation. This research will undoubtedly help to guide others who are interested in this field.

Published by: Dr. Govind Santoba Dhulgande, Dr. M. W. Patale, Anuja Kante, Dr. Deepak ShelkeResearch Area: Medicinal Botany

Organisation: Sir Parashurambhau College, Pune, MaharashtraKeywords: Medicinal Plant Species, Traditional Use, Sustainable Development, Conservation, Etc.

Research Paper

50. Application of Operations Research in Human Resource Management

We wanted to see how operational research may be used in the subject of Human ResourceManagement in this study work. It has long been a known fact that when work is done without the use of any scientific equipment, humans are prone to make mistakes. After conducting extensive research in the field of human resource management, we discovered that training, selection, recruiting, and other activities in many businesses are based on bias and partial perspectives. We also discovered that the average capital invested in training and development programs is significantly more than it should be. This prompted us to link the concept of organizational research to Human Resource Management, namely, maximizing happiness at the lowest possible cost. With this goal in mind, we set out to study previous articles to learn more about how firms are already employing OperationsResearch techniques. Operations research (OR) is a problem-solving and decision makinganalytical method that is effective in the management of businesses. Problems are broken down into simple components in operations research, and then the mathematical analysis is used to answer them in predetermined steps. The future of decision-making is OperationsResearch. In this context, operational research serves a critical role in enhancing management productivity and ensuring that scarce resources are managed more effectively. The existing state of the art in India is compared to its potential in terms of economic incentives and disincentives, social, cultural, and political considerations, computer availability and usage, OR staff availability, and current management approaches.

Published by: Arpit Kurl, OM Pokar, Pranav Sund, Vinay Phogat, Tanmay TulsyanResearch Area: Operations Research

Organisation: SVKM's Narsee Monjee Institute of Management Studies, Bengaluru, KarnatakaKeywords: Operations Research Project, HR, HRM, NMIMS Project in OR

Research Paper

51. Optimal holiday destination selection

It is important for people to select the proper leisure destinations to spend their vacations. Each vacation location would have its own expenses, own entertainment, and own risks. Thus, wisely selecting the proper destination to spend a vacation is of paramount importance for any person for phycological reasons. In this paper, we formulate the holiday destination selection as a mixed-integer programming model (MILP). We also show how to solve this problem using a simple meta-heuristics, a max-min ant system (MMAS). The MMAS shows that it is an effective way that people can use to select holiday destinations. The suggested algorithm can be used as a base for a mobile application that people all over the world can use for their holiday planning.

Published by: Sammy IbrahimResearch Area: Optijization

Organisation: New Valley University, Cairo, EgyptKeywords: Max-Min Ant System, Holiday, Selection Problem

Research Paper

52. Application of Operational Research in Optimization of Agricultural Sector

The goal of this study is to see if operation research approaches are suitable and applicable to decision-making in farming. The methods and principles of operational research can be applied to agriculture and development in a variety of ways. The process and problems are investigated as to how operational research can be put into use in the manner to optimize value. The technique of integrating advanced logical theories and models to aid in better decision making and resource utilisation is termed as operations research. This research is focused on the use of operations research methodologies in the realm of agriculture. They are used in a variety of elements of agriculture, including day-to-day decisions made by farmers such as selecting the best grain, farm planning, cost reduction and profit maximisation on a single farm, and crop production and transportation. This research study uses scenarios and issues to demonstrate several Operations Research theories and models applied to agriculture.

Published by: Anya Agarwal, Archit Dubey, Shubh Agrawal, Vedant Sanyal, Vidhi VermaResearch Area: Operations Research

Organisation: SVKM's Narsee Monjee Institute of Management Studies, Bangalore, KarnatakaKeywords: Operations Research, Agriculture, Linear Programming, Queuing Theory, Game Theory, Inefficiency

Review Paper

53. The Potential Role of mRNA Vaccine: In treating SARS-CoV-2

An effective vaccine is needed to halt the proliferation of SARS-CoV-2 that is: Severe Acute Respiratory Syndrome Coronavirus-2. An RNA vaccine is a type of vaccine that uses a copy of a natural chemical called messenger RNA (mRNA) to produce an immune response. COVID-19 BNT162b1 mRNA vaccine has been proved omnipotent enough for eliciting robust CD4+ and CD8+ T Cell responses and powerful antibody responses. COVID-19 mRNA vaccine can make fake versions of the viral protein especially, S antigenic protein but, potent enough to elicit a primary immune response against the COVID-19 virus. T Cells and commendatory cytokine retaliation induced by the BNT162b1 mRNA vaccine propose that it has a future to protect against SARS-CoV-2 Keywords: SARS-CoV-2; COVID-19 BNT162b1 mRNA Vaccine; Spike Antigenic Protein; Protection Against SARS-CoV-2.

Published by: Anisha Patil, Dr. Ramneet KaurResearch Area: Biotechnology

Organisation: New Arts, Commerce and Science College, Ahmednagar, MaharashtraKeywords: SARS-CoV-2; COVID-19 BNT162b1 mRNA Vaccine; Spike Antigenic Protein; Protection Against SARS-CoV-2.

Research Paper

54. Use of Operations Research in Aviation-Scheduling of Aircraft and Crew

In these testing times of the pandemic, the aviation industry has suffered huge losses and the key is to optimize the cost by mathematical and technological advancements. Operations research helps optimizing fleet and crew to maximize efficiency, reduce costs and reduce delays. This paper deals with how integer linear programming and simulations help to solve the problem.

Published by: Varun Oza, Anusha Bisht, Anushka Khurana, Gouri Malhotra, Madhav Acharya, Khushi AhujaResearch Area: Operations Research

Organisation: Svkm'S Narsee Monjee Institute of Management Studies, Bengaluru, KarnatakaKeywords: Operations Research, Aviation, Fleet Scheduling, Crew Rostering, Linear Programming

Review Paper

55. Using The Transfer Matrix Method Analyzing Muffler Performance

Internal combustion engine is considered as a major source of noise pollution. And these engines are used for various purposes such as, in power plants, automobiles, locomotives, and in various manufacturing machineries. Engine created noise pollution becomes a vital concern when used in residential areas or areas where noise creates hazard. Generally, noise level of more than 80 dB is injurious for human being. Exhaust noise and the noise produced due to friction of various parts of the engine are the main sources of noise in an engine. The exhaust noise is the most dominant one and to reduce this noise, various kinds of mufflers are generally used. The construction and the working procedure of mufflers usually affects the level of exhausts noise reduction. Engine makers have been making mufflers for more than 100 years. As the name suggests, muffler serves the primary purpose as to reduce or muffle the noise emitted by the internal combustion engine. Technology for muffler has not changed very much over the past 100 years. The exhaust is passed through a series of chambers in reactive type mufflers or straight through a perforated pipe wrapped with sound damping material in an absorptive type muffler. Both types are having strengths and weaknesses. The reactive type muffler is generally restrictive and prevents even the good engine sounds from coming through, but it does a good job of reducing noise. On the other hand, most absorptive type mufflers are less restrictive, but allow too much engine noise to come through. Despite of the packing material, absorptive type mufflers tend to get noisier with time.

Published by: Borase Dipali Dipak, Patil Sandeep, Swarnkar HemantkumarResearch Area: Mechanical Engineering

Organisation: Shree Gulabrao Deokar College of Engineering, Jalgaon, MaharashtraKeywords: Analysis, Investigation, Validation, Research, Comparison

Online paper publication is ongoing for the current issue and authors can submit their paper for this issue until 22nd September, 2021.