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Research Paper

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. Suganthi

Author: Anand Jonathan Roy

Paper ID: V7I4-1160

Paper Status: published

Published: July 2, 2021

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Research Paper

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 Pranjale

Author: Rajni Sharma

Paper ID: V7I4-1155

Paper Status: published

Published: July 2, 2021

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Research Paper

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.

Author: Nandhini S.

Paper ID: V7I4-1148

Paper Status: published

Published: July 2, 2021

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Research Paper

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 Angadi

Author: Dr. Veena Angadi

Paper ID: V7I4-1146

Paper Status: published

Published: July 2, 2021

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Research Paper

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.

Author: Dr. Jaya Patil

Paper ID: V7I4-1162

Paper Status: published

Published: July 2, 2021

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Research Paper

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 Kausar

Author: Swathi N.

Paper ID: V7I4-1145

Paper Status: published

Published: July 2, 2021

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