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Research Paper

IoT based string failure detection and monitoring system

To harness reliable energy efficiently, the photovoltaic string system must remain in its best condition. This requires continuous maintenance and monitoring. However, in the case of weather dependable energy yield change. We proposed a novel real-time monitoring system utilizing a small but efficient artificial neural network that is adequate to run on a low-cost system. To get the desired electrical output in various environmental conditions, it is required to analyze the faulty, or shaded, or dust-covered string, and maintain it with an intelligent monitoring system. The proposed string monitoring system can identify if the string exhibit degradation due to fault conditions.

Published by: Srijeyanthi P., Sivakumar R., Cebu A., Karthick C., Rajeshwaran M., Subhash S.

Author: Srijeyanthi P.

Paper ID: V7I4-1787

Paper Status: published

Published: August 16, 2021

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Research Paper

Does Anganwadi make a difference in the nutritional status of children?

ICDS centers, commonly known as Anganwadi Centres (AWC) started in the year 1975 mainly to fulfill the nutritional requirement of children along with essential integrated health services. The objective of this research is to know “how Anganwadi centers are working for improving the nutritional status among children”. Methods: The secondary data collected through the National Family Health Survey is used to analyze the effectiveness of Anganwadi Centres on child nutrition. Both bivariate and multivariate analyses have been carried out for this paper. Results: Over the years, the proportion of children accessing supplementary food from the Anganwadi/ ICDS has been declined. Further, recent data shows that percentage of children receiving food is high among poor households as compared to better-off households. However, the results of both bivariate and multivariate analyses show that there is no substantial difference in nutritional status of children between ICDS-covered and non-covered areas. Conclusion: There is no significant positive impact of supplementary nutrition through Anganwadi Centres on the malnutrition status of children. Therefore, the government should take steps for regular monitoring to ensure quality services through the Anganwadi centers. Then only, all the children will access adequate supplementary food and that would definitely make a change in the nutritional status of children.

Published by: Kamalakanta Tripathy

Author: Kamalakanta Tripathy

Paper ID: V7I4-1779

Paper Status: published

Published: August 16, 2021

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Research Paper

Domain-agnostic Customer Sentiment Analysis Platform for MSMEs in E-Commerce

This paper aims to tackle the problem of MSMEs being unable to gauge customer sentiment through text-based reviews on e-commerce platforms. The paper suggests a front-end algorithmic solution to the problem which is simple yet impactful in that it allows MSMEs to understand consumer behavior and psyche with minimal or no resources. The platform, which can be adopted by any e-commerce enterprise, uses web scraping frameworks and natural language processing-based sentiment analysis to extract, demystify, and present various metrics and actionable insights essential to analyze underlying sentiment. The proposed end-to-end solution aids MSMEs in fostering sustainable customer relationships and boosting business growth and prosperity.

Published by: Veer Kejriwal, Aqsa Temrikar

Author: Veer Kejriwal

Paper ID: V7I4-1750

Paper Status: published

Published: August 16, 2021

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Research Paper

Effect of honey mixture therapy on obesity among adolescent girls residing in selected hostels

The present study was conducted to assess the effect of honey mixture therapy on obesity among adolescent girls. Objectives: Assess the degree of obesity among adolescent girls, Assess the effectiveness of honey mixture therapy on obesity among adolescent girls, Find the association between obesity and selected demographic variables of adolescent girls. Methodology: Quantitative approach was used for the study and a pre-experimental one-group pre-test post-test design was selected. This study was based on the Penders health promotion model. Data were collected from 30 obese adolescent girls residing in selected hostels at Perinthalmanna using a nonprobability purposive sampling technique. Semistructured interview schedules on sociodemographic data and physiological methods were used to obtain baseline pre-test measurements. Honey mixture therapy was administered for 45 days and post-test measurements were also collected. The data were analyzed and interpreted by using descriptive and inferential statistics. Results; the mean post-BMI score (27.79) is less than the mean pretest score(28.20). The obtained t value is 0.85 and the p-value is 0.40. The mean difference is not statistically significant. The study also revealed that there is a significant association of obesity with the availability of pocket money. Conclusion; the study concluded that there is a nonsignificant reduction in BMI followed by administration of honey mixture therapy for a period of 45 days.

Published by: Sini Neeruzhi, Surumi K. A.

Author: Sini Neeruzhi

Paper ID: V7I4-1739

Paper Status: published

Published: August 16, 2021

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Thesis

Prediction of future terrorist activities using Machine Learning algorithm

The exponential increase in internet users has led people to start using technology-based development for carrying out activities against the law. According to the studies made from previous knowledge and experiences it can be found out that, cyber terrorism puts out stress and anxiety, increases feelings of intrusion, threat and hardens the political frame of mind. Therefore, it is important to identify the fact that cyber terrorism has had a very awful and shocking effect on our society. Thus, With the use of a Machine learning model, it helps us to predict the possible future terrorist activities by detecting the instigating text messages in social network platforms. The proposed system aims to develop a method for of prediction of future terrorist activities using a machine learning algorithm that will help the system in detecting potential terrorist attacks and in providing safeguards and strengthening defense for required areas consequently lessens the loss of life and property. Along with that it also provides Fast detection to illegal activity, improving information accuracy. It has the ability to distinguish between instigating (terrorism-related) messages and non-instigation (non-terrorism-based) messages. This method also helps in identifying the user responsible for sending such messages and also recognize the specific messages and also shows the best machine learning algorithm that best fits and that can be used for prediction based on the accuracy analysis of the algorithms.

Published by: Santhosh Kumar S., Akshatha M. N., Arun Malle, Aishwarya Bhat, H. Sai Rohit

Author: Santhosh Kumar S.

Paper ID: V7I4-1754

Paper Status: published

Published: August 12, 2021

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Research Paper

Inappropriate construction equipment delay factors a Structural Equation Modelling (SEM) approach

Construction equipment improvement is a trend in the market, and it has several advantages. Inappropriate construction equipment, on the other hand, creates delays in construction projects, harming the firm's reputation. A lot of studies on overall delay have been undertaken around the world. NonethelessHowever, there is a scarcity of studies on construction delays induced by inefficient construction equipment. The purpose of this article is to look into the reasons that cause construction equipment delays and how they affect the firm's reputation. The issues identified in the focus group interviews and the literature survey were used to create a report. To determine the impact of these factors on the progress of Indian building projects, a questionnaire survey was undertaken. The main constraint was that all 300 replies had to be gathered in person from building professionals in order to avoid skewed results. The positive strength of each factor's link was determined using Pearson correlation coefficients. To check if there was a significant difference between the respondents' firm categories, a t-test was utilized. The effective association between the causes of delays due to improper construction equipment and the effects on the company's reputation was validated using structural equation modeling (SEM). The improper construction equipment elements are associated among themselves and combined to influence the company's reputation, according to all of the components investigated by the SEM analysis. To overcome the ineffective equipment delay issues, recommendations are offered.

Published by: Salih Mahdi

Author: Salih Mahdi

Paper ID: V7I4-1723

Paper Status: published

Published: August 12, 2021

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