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Thesis

Effectiveness of relaxation therapy on stress among teachers of mentally challenged schools

Stress is an inevitable word in this fast-spinning technical world. Efficient and Effective performance depends on the better psychological well-being of the employees. A study is conducted to assess the Effectiveness of Relaxation therapy on stress among 120 teachers of mentally disabled children. A quantitative research approach with a pre-experimental one-group pre-test post-test design is adopted. Data collected through self-report using the stress Assessment Scale. The findings revealed that there is a significant reduction of stress (t=23.68,p<0.001) and showed that relaxation therapy is effective in reducing stress.

Published by: Dr. Feby G., Dr. Sharmila Jansi Rani

Author: Dr. Feby G.

Paper ID: V7I3-1197

Paper Status: published

Published: May 8, 2021

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Research Paper

An integrated approach for the smart grid using the data compression and encryption algorithm

Smart Grid network continuously monitors the electricity demand and usage through various smart appliances. Continuous monitoring generates a large amount of redundant data. Besides that, the data is sensitive to attacks. To overcome these challenges, we have designed an integrated approach for a smart grid using the data compression and encryption algorithm. We have used the DRACO algorithm for data compression. Further, we have designed an improved chaotic cubic map algorithm by hybrid it with AES layers to enhance security. For validation purposes, the data is randomly generated and various performance metrics are calculated for it. In the last, the proposed integrated approach is compared with the existing approaches. The results show that the proposed approach is superior to the existing approaches.

Published by: Sukhjinder Singh, Puneet Jain

Author: Sukhjinder Singh

Paper ID: V7I3-1215

Paper Status: published

Published: May 8, 2021

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Review Paper

A literature review on EELS – Intrinsic characteristic of producing electric current

An eel scientifically known as Anguilliformes is a fish consisting of ray fins which belong to the Actinopterygii family i.e. family of eels in freshwater. It has 8 suborders, 19 families and 119 genera, and somewhere around 800 species. Eels have various intrinsic and extrinsic characteristics which alter and develop when they grow physically. Eels have an elongated structure (long length fish) with a length ranging from 5cm to 4m and weighing from 30g-25kg (in adults). Eels swim by generating waves from their body structure .they can swim in both forward and reverse directions forming body waves. They generally reside in deep waters or sea in holes called “eel’s pit”. Some of the eels may stay at freshwaters but they too will come back to the seas for breeding. There are two types of eels that are commonly seen one is deep-sea spiny eels and the other is the electric eels producing an electric current of high voltage. Both these characteristics of eels help them from protecting themselves from predators. This review paper considers the lather characteristics of the eels of producing electric current using their own intrinsic characters and how they behave during the act of producing current

Published by: Shreyas Bharatharaj Katagal, Rohith R., Sachin B. A., Karthigeyan S.

Author: Shreyas Bharatharaj Katagal

Paper ID: V7I3-1210

Paper Status: published

Published: May 8, 2021

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Review Paper

Gender bias at workplace and the remedial measures

Despite the substantial rise in the number of women joining the workforce, gender parity continues to suffer, especially at higher positions. In India, 85% of working women claim to have missed out on a promotion or hike because of their gender. About two-thirds of working women (63%) and working mothers (69%) say they faced discrimination at work due to familial and household responsibilities. It is the need of the hour for organizations to reimagine their diversity practices and offer greater flexibility to caregivers, to increase female participation in the workforce. Reduced and flexible schedules, more sabbaticals, and new opportunities to upskill and learn are critical offerings that can help organizations attract, hire, and retain more female talent. Gender bias is the tendency to prefer one gender over another. It is a form of unconscious bias, or implicit bias, which occurs when one individual unconsciously attributes certain attitudes and stereotypes to another person or group of people.

Published by: Arshyaa Suhag

Author: Arshyaa Suhag

Paper ID: V7I3-1228

Paper Status: published

Published: May 8, 2021

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Research Paper

Static and thermo-mechanical analysis of brake disc and pad using finite element analysis

In the automobile, the braking system is a very important part. The brake pad plays important role in braking. Previously Asbestos is used as a brake pad, but asbestos is not good for the environment and human health. So, the use of Asbestos is prohibited. Currently, a lot of research is going on to find out a brake pad material that will replace Asbestos. Some materials selected for the brake pad are Carbon Fibre, Sic, ZrO2, S2 Glass fiber. Out of this material, Carbon Fibre is a material used for Brake pads. The static and thermomechanical analysis is performed in ANSYS Workbench. For this analysis, Carbon fiber is used for the brake pad and the Aluminium alloy is used brake disc. In static analysis, the deformation and stresses are found out and in thermomechanical analysis, Thermal effects are added to find out the deformation and stresses. It found that after the addition of thermal effects, the deformation and stresses are increased considerably. But both stresses and deformation values are within the failure limit

Published by: Akshay Pacharne, Pramod Kathamore

Author: Akshay Pacharne

Paper ID: V7I3-1219

Paper Status: published

Published: May 8, 2021

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Research Paper

Traffic prediction for intelligent transportation system using machine learning

Traffic is the most major issue in an urban area. The most problem comes because of traffic in all developed cities, So people suffer a lot of time in the road traffic. This time is totally a waste for me personally and for society. In most urbanized areas space is a scarce commodity. Therefore, better management of the existing roads to increase or maintain their capacity level is the only solution. So this project is to develop a tool for predicting accurate and also predict time to help the community. Because of accidents, traffic signals, even repairing the roads these problems are causing traffic. If we get information which is near about all above and many more daily life situations which can affect traffic jam then deriver take the decision on the basis of the situation to move or take other decision. In the current situation, traffic data have been generating exponentially. The already some available prediction methods for traffic flow but those are unsatisfactory to handle real-world application. In this project, we proposed to use a machine-learning algorithm to analyze the traffic with better performance

Published by: Dhanashree Dnyaneshwar Raut, Susmita Salvi, Ankita Gupta, Pranali Patil

Author: Dhanashree Dnyaneshwar Raut

Paper ID: V7I3-1190

Paper Status: published

Published: May 8, 2021

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