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Research Paper

Design and fabrication of thermosyphonic water purification system

Lack of clean drinking water in rural areas is a huge problem during the occurrences of floods and other environmental disasters. Often, it takes a long time to transport potable water to these areas resulting in health issues for the residents. In this research, a solar power-based water purification system using PCM to produce clean drinking water in flood-affected areas or remote areas where potable water is difficult to obtain is proposed. The purification system available is not easy to get for poor people. So we are using a different technique for water purification system is Thermosyphon solar distillation technique, which is very cheap and convenient. These Thermosyphon purification system is a modification of conventional solar still but the efficiency achieved is much higher then the conventional solar still.

Published by: Kartik Balkrishna Patil, Shrikant Tarinicharan Patro, Siddhart Sunil Patil, Aditya Vishnu Phadke, Akhtarhusen Momin

Author: Kartik Balkrishna Patil

Paper ID: V7I3-1360

Paper Status: published

Published: May 19, 2021

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Review Paper

A comparative study and classification on different underwater image enhancement techniques

Underwater images play a vital role in marine engineering, marine research etc. These images can be used for control of underwater vehicles, study of corals, fishes and other specious. Underwater images suffer poor visibility and some important details may loss because of scattering and absorption. Obtaining a clear underwater image is very important and it is difficult too. Underwater image enhancement has been an active research topic over many years and several techniques has been proposed. This paper introduces a study on various techniques used to enhance the underwater images and classified the techniques into four categories.

Published by: Swathy N.

Author: Swathy N.

Paper ID: V7I3-1358

Paper Status: published

Published: May 19, 2021

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Research Paper

Glacial lakes outburst floods GLOF in the Indian Himalayas – A geotechnical resilient exemplification of hazard assessment

A glacial lake outburst flood occurs when the dam blocking the glacier's path collapses. The dam may comprise glacier ice or a terminal moraine, eroded material from the sides and bottom of a valley, which the glacier pushes to the front. The collapse may occur due to erosion, build-up of water pressure, an avalanche, heavy snow, earthquake, volcanic eruption under the ice, or if a large portion of a glacier breaks off and massively displaces the waters in a glacial lake at its base. When the outburst occurs, water dammed by a glacier or a moraine is released. Glacial lakes may hold millions to hundreds of millions of cubic meters of water. Catastrophic failure of the containing ice or glacial sediment can release this water over a period of minutes or a few days.

Published by: Arghadeep Dasgupta

Author: Arghadeep Dasgupta

Paper ID: V7I3-1344

Paper Status: published

Published: May 19, 2021

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Research Paper

Automatic temperature sensing with detail collection system using LabVIEW

In this situation of the Covid-19 pandemic, it is advised by the government to check the body temperature as well as a collection of details of every person before entering the building. The conventional method for doing so is by manually checking the temperature using an infrared thermometer and the details are collected on a register. This system involves the risk of transmission of infection. In order to overcome the above-mentioned problem, this paper proposes the way in which the temperature and the details are collected automatically without any physical contact. MLX90614 is an infrared temperature sensor that is connected to the gate of the building in order to grant access or denial of entry. The details of people are collected using LabVIEW software. This paper comprises three sections: Data collection using LabVIEW, Temperature sensing using MLX90614, and Door access control using DC Motor and driver unit.

Published by: Sooraj S., Sanjana S. N., Adithya S. Nair, S. Akshara Priya, Sony S.

Author: Sooraj S.

Paper ID: V7I3-1336

Paper Status: published

Published: May 19, 2021

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Research Paper

Traffic sign recognition and classification using CNN

We investigate the present status of traffic sign classification and recognition talking about what makes it a particular issue of visual item characterization. With noteworthy cutting-edge results, it is not difficult to fail to remember that the area stretches out past explained datasets and ignore the issues that should be looked at before we can begin preparing classifiers. We talk about such issues, give an outline of past work done, go over openly accessible datasets, and present another one. Following that, arrangement tests are directed utilizing a solitary CNN model, further than utilized beforehand and prepared with dropout and softmax. We apply it over different datasets from Germany and Belgium, their convergences and association, beating people, and other single CNN designs for traffic sign characterization.

Published by: Rahul P. Shinde, Sourav Chidanand, Dileep Kumar T., Rajveer Singh, Shweta Singh

Author: Rahul P. Shinde

Paper ID: V7I3-1318

Paper Status: published

Published: May 17, 2021

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Research Paper

Secondary traumatic stress and subjective well-being among frontline workers during the COVID-19 pandemic

The Covid-19 pandemic has deeply affected one’s mental as well as physical health. The front-line healthcare workers have been adversely impacted while having to work in a high-stress and trauma-exposed environment. They faced emotional and physical strain and the study attempts to understand the secondary traumatic stress in times of a global emergency and its impact on their subjective well-being. The researchers of the current study contended that secondary traumatic stress was inversely related to positive affect in frontline health care workers. A positive correlation was also expected between secondary traumatic stress and negative affect. This was studied among a sample of 200 front-line healthcare workers. The results of the current study provided significant evidence to support the proposed hypothesis. A highly significant regression was found between secondary traumatic stress and negative affect.

Published by: Soumita Ramesh, Vrishti Jain, Kanira Sand, Sanjana Barot, Roshni Parti, Anjini Kochhar

Author: Soumita Ramesh

Paper ID: V7I3-1312

Paper Status: published

Published: May 17, 2021

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