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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 Sharma

Author: Ishfaq Ul Abass

Paper ID: V7I4-1382

Paper Status: published

Published: July 18, 2021

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Survey Report

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. Banubakode

Author: Namrata Manohar Dhuri

Paper ID: V7I4-1396

Paper Status: published

Published: July 16, 2021

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Research Paper

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 Muzaffar

Author: Dr. Khan Zeenat Muzaffar

Paper ID: V7I4-1287

Paper Status: published

Published: July 16, 2021

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Research Paper

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 Gayathri

Author: Sahithi Akundi

Paper ID: V7I4-1381

Paper Status: published

Published: July 15, 2021

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Research Paper

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 Padmanabh

Author: Dr. Madhavi Marathe

Paper ID: V7I4-1370

Paper Status: published

Published: July 15, 2021

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Research Paper

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. Patil

Author: Meghana S.

Paper ID: V7I4-1342

Paper Status: published

Published: July 15, 2021

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