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Review Paper

Role of machine learning in text classification – An extensive review

Cyberspace has elevated business insights and created a virtual space to store all forms of information online. Due to the rapid development in the online world, the usage of digital documents has increased because it is comfortable for the users to share, update or keep track of the records in one place without losing data. However, maintaining massive data does not suit optimal decision-making and is extremely expensive for storage, processing, and collection. There is a gigantic possibility that human annotators make errors while classifying data because of distraction, monotony, fatigue, and failure to meet the requirements. Once the text classification method uses machine learning approaches, the process will execute with fewer mistakes and more accuracy. The main goal of this review paper is to highlight and explain the role of different machine learning methodologies in text classification. Concurrently, this paper describes the challenges faced by other machine learning techniques and text representation. Furthermore, this review paper will provide an extensive survey on how various machine learning techniques such as Neural Networks, Naive Bayes, Logistic Regression, Random Forest, Decision Trees, and Support Vector Machine (SVM) - are implemented in Text classification.

Published by: Amisha Srivastava, Kushagra Jain

Author: Amisha Srivastava

Paper ID: V7I6-1203

Paper Status: published

Published: November 18, 2021

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Research Paper

Issues and challenges faced by vendors in unorganized setup – A study on vegetable vendors of Chhatarpur District, Madhya Pradesh

Developing countries like India with flooded populations provide a very limited amount of employment avenues in organized sector that needs highly skilled individuals. So the extended need of employment remains unmet which insists the majority of unskilled and illiterate population to dig the opportunities available in unorganized sector. Vegetable vending on being an unorganized sector work provides opportunities for unskilled people to get engaged with very low level of initial investment but in absence of any policy or rule at ground level the situation of vendors remains abysmal. The paper intends to ascertain the problems, gender representation, socio-economic status, literacy level and other issues encountered by vegetable vendors in Chhatarpur district of Madhya Pradesh. Data has been collected from three different vegetable markets of Chhatarpur. Study infers that vendors have multiple challenges and impediments which forced them to live a miserable life. Appropriate policies, social security schemes, permanent place of selling and curbing on goons at ground level can have positive impact on the lives of vegetable vendors and their family members.

Published by: Gautam Choudhary, Angita Raghuwanshi

Author: Gautam Choudhary

Paper ID: V7I6-1195

Paper Status: published

Published: November 17, 2021

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Research Paper

Design, analysis, and fabrication of an electric hybrid dune buggy

This paper's main goal is to discuss all aspects of designing an electric hill buggy. In this consideration, a hitherto unseen and lighter rising buggy chassis is offered. Using Autodesk Combination 360, a CAD model of the chassis was created, as well as a Limited Component Investigation. To mimic the effect behavior on the chassis, a stacking model of 4g, 6g, 8g, 10g, and 16g was used, Fabric selection, chassis design, crosssection assurance, and roll cage quality requirements were all part of the planning and development process. To build up our directing, we followed Ackermann's controlling geometry. Lotus Shark was used to plan and test the suspension architecture of the rover speed and clamp force of the vehicle. The results of simulations performed in Autodesk Fusion 360 under various loading situations revealed that this design has shown appropriate resistance to deformation in front, rear, and side-impact testing. There was more than one aspect of safety in every circumstance. As a result, the suggested design was shown to be totally safe in testing settings. Before putting it to the test in real-world situations, however, comprehensive modeling and simulation studies are required. The Lotus Shark simulations revealed that the suspension geometry chosen for our design had the least amount of bump steer, camber angle shift, and toe angle change during suspension bump and droop. A dune buggy is a vehicle designed for use on dunes and roads. Such a type of vehicle is primarily used for recreational purposes.

Published by: Poojith Kannan T., Karthick S., Santhana Srinivasan A., Raghul Yadhav E., Ranjit Kumar

Author: Poojith Kannan T.

Paper ID: V7I6-1193

Paper Status: published

Published: November 16, 2021

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Survey Report

A Review on Health Monitoring System

Mobile devices are largely used in almost every aspect nowadays as they are easy to carry and access. Considering this large use of mobile phones, it will be beneficial to use them in the healthcare system to make the medical data easy to carry, accessible, manageable, and will increase efficiency. We looked at the pros and downsides of some of the proposed systems, as well as other methodologies, during the survey. Every year, a big number of people are diagnosed with chronic diseases, necessitating an enormous amount of medical resources. As a result of the expanding patient population at healthcare facilities, remote monitoring techniques are becoming increasingly important. The healthcare industry's technology has advanced at a remarkable pace in recent years. According to the past few years' estimation and recent findings, remarkable growth has been observed in data acquisition and monitoring systems for healthcare. One of the research papers proposed a system that aims at improving healthcare management by analyzing health parameters like blood pressure, body temperature, heart rate, and predicting heart problems. Especially for the patients when they are mobile, this is of great advantage. The system aims to alert the application user in case of any abnormalities by analyzing the health parameters.

Published by: Akansha Khandale, Dhanada Kapre, Kashish Dhoot, Kartik Khandelwal, Dr. Dattatraya Adane

Author: Akansha Khandale

Paper ID: V7I6-1169

Paper Status: published

Published: November 12, 2021

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Dissertations

Method development and validation for the simultaneous estimation of Atenolol, Hydrochlorothiazide, and Losartan potassium by using RP-HPLC

A simple, precise, rapid, and accurate RP-HPLC method was developed for the simultaneous estimation of Atenolol, Hydrochlorothiazide, and Losartan Potassium in pharmaceutical bulk drugs and tablet dosage forms. The method was developed by using HPLC (Shimadzu LC2010-CHT) with UV detector and Symmetry C18 (4.5 x 100mm, 5µm, make: waters) at 1.2 ml/min flow, column temperature – 27°C and a mixture of Methanol and water in the ratio of 65: 35 v/v as Mobile phase and diluent at 225nm wavelength, injection volume of 20µl with Isocratic flow for 10minutes run time. The accuracy studies show that % recovery for Atenolol, Hydrochlorothiazide, and Losartan Potassium at 50%, 100%, and 150% were found to be within 98-102%. Retention times were found to be 1.467 min, 2.208 min and 3.292 min for Atenolol, Hydrochlorothiazide and Losartan Potassium respectively.

Published by: Saithangpuia, Dr. Mohd. Omar

Author: Saithangpuia

Paper ID: V7I6-1191

Paper Status: published

Published: November 12, 2021

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Research Paper

Dietary fat intake pattern of adults during the COVID-19 pandemic in the City of Mumbai, India

Obesity is a growing public health issue across the globe and in India, which is increasing the risk of other chronic diseases. A high quantity of fats and an imbalance of fatty acids contribute to inflammation and faster disease progression. To study the food-based dietary fat intake patterns of adults during the COVID-19 outbreak in the city of Mumbai, India. Adults (n=103), both males and females (30-60 years of age) were selected from one of the cities in India, Mumbai, by purposive sampling, meeting the inclusion and exclusion criteria. In this survey, a KAP questionnaire was administered to understand the fat intake patterns. The data was analyzed by SPSS 26 to obtain mean and SD, frequencies, and percentages. The majority of the participants (60.2%) reported being overweight, while only 27.2% of the participants reported with normal BMI. Sixty-six percent of the participants reported ‘not checking’ the nutrition labels before purchasing any packaged food items; 32% showed to be never changing their cooking oils, and 51.5% of them reported to be re-heating the oil. The present study had the majority of the participants leading a sedentary lifestyle due to pandemic situations and nationwide lockdown. It also covers various aspects of lifestyle behaviors and eating habits, particularly of dietary fats which contribute as major risk factors to develop non-communicable diseases (NCDs).

Published by: Sweta Sharma, Dr. Monal Velangi

Author: Sweta Sharma

Paper ID: V7I6-1186

Paper Status: published

Published: November 12, 2021

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