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Solar-powered semi-autonomous vehicle for agricultural usage

The Farm Assistant Robotic Mobile robot, abbreviated as F.A.R.M, is a four-wheel-drive, solar-powered semi-autonomous vehicle designed specifically to suit the needs of a typical Indian farm. Indian agriculture is composed of many crops, rice, and wheat being the most popularly consumed. F.A.R.M has been designed to keep commercial rice and wheat plantations as the primary focal point but can be extended to other farms with minor tweaks. The 20-kg robot can drive with a continuous transnational speed of 8 m/s on moderately rough terrain. The on-board solar panel generates about 150-W of average power when directly under the sun i.e., a 90-degree angle of elevation. The power-control system uses an MPPT based charging system to recharge the batteries and supply loads. The robot has two modes of control; first using a handheld controller, and second using control buttons through a web page. Various features include a pesticide sprayer, live video surveillance, internal system reporting, invasive animal detection using computer vision, and a self-sustained solar energy-based power system.

Published by: Soubhik Mazumdar, Abhinav Bhattacharya, Kirti Bhagat, Aayush Kumar, Shivam Gupta, Kunal Sahni, Menaka R.

Author: Soubhik Mazumdar

Paper ID: V6I4-1359

Paper Status: published

Published: August 11, 2020

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Research Paper

Wireless sensor networks for agricultural and other applications and routing protocols with challenges of routing protocols

Wireless Sensor Networks has sparked a modern path of industrial and technical science. India's agriculture sector is declining day by day, impacting biodiversity output efficiency. There's a pressing need in the sector to address the issue of recovering capital and getting it back to higher development. A dataflow model of information is built linking various dispersed inputs to the crop frameworks. The society around us is automating the substitution of manual operations with the advent of technology because it becomes energy-intensive and less man work becomes consumed

Published by: Anusha D., Vanishree K.

Author: Anusha D.

Paper ID: V6I4-1370

Paper Status: published

Published: August 11, 2020

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Research Paper

The role of the arts during a global pandemic

This Research Paper describes the correlation between the arts and the Covid-19 lockdown. It explores the psychological implications of the lockdown and the role of the arts as a coping mechanism.

Published by: Ariya Maskara

Author: Ariya Maskara

Paper ID: V6I4-1331

Paper Status: published

Published: August 11, 2020

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Research Paper

Operational modal analysis of a bike chassis

This paper is about Modal analysis performed on a bike chassis and validated simulated data with experimental data. This paper also has information for simulated data on operational conditions simulated on a bike for modal analysis.

Published by: Mohamed Hafeez, Varun V. Bhat, V. Ajay, Santhosh Kumar H. V.

Author: Mohamed Hafeez

Paper ID: V6I4-1318

Paper Status: published

Published: August 9, 2020

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Survey Report

The association of body mass index with high blood pressure among adults

AIM: The aim of this study was to determine the correlation between BMI and BP among adults. Methods: The descriptive research study (google form survey) was carried out on adult patient age group 30-90 years with hypertension disease, residing in Jogeshwari, Mumbai between 20 march to 10 April 2020, after being granted approval from the college. Results: We found that 55% of participants were overweight and 27% of participants were obese only 18% of participants were normal/healthy. Therefore, Overweight and obesity are risk factors for HBP. The majority of individuals in this study with HBP are over 50 years old which is further followed by 40-49 years old. Therefore, age is also significantly associated with BP. We also observed that positive family history of HT as well as diabetes was significantly associated with BP. CONCLUSION: The study demonstrated that BMI is closely associated with BP among the elderly population. Because From the results, it is very evident that overweight and obesity occur as a result of less physical activity. All the obese/over-weight participants do not engage in any form of exercise. Exercise is a very important factor to consider in decreasing the incidence of overweight and obesity in populations. This is because exercise helps the body to burn fat and utilizes excess calories. Therefore, the risk of hypertension was higher among population groups who were overweight or obese. BP is also associated with rising age independently. there was a positive and significant correlation among BMI, age, BP. The increased rate of obesity or weight with respect to an increase in age could be due to the fact that older people are less physically active but maintain the same energy intake as during their earlier years. Hence, the excess energy that is not expended is stored as fat, increasing their chances of becoming obese. Prevalence of 27% prehypertension among overweight/obese suggested an early clinical detection of prehypertension and intervention including life style modification, particularly weight management.

Published by: Asma Mafiz Ansari, Dr. Arpita Verma

Author: Asma Mafiz Ansari

Paper ID: V6I4-1337

Paper Status: published

Published: August 9, 2020

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Research Paper

Fingerprint matching algorithm using multipoint minutiae matching algorithm using SVM approach

Abstract Fingerprints are considered as an interesting distinguishing proof of an individual and because of simple access it‟s the best and one of the quickest strategies utilized in biometric recognizable proof frameworks. They are exceptional, so secure and solid to utilize and does not change for one out of a lifetime. What’s more, next to these things unique finger impression acknowledgment exceptionally utilizing particulars coordinating system is modest, dependable, and precise up to an agreeable point of confinement. In the proposed system a fingerprint matching algorithm is developed by multi-point minutiae matching with the help of the SVM Algorithm. The performance of the proposed system is evaluated on various parameters and compared with the existing system.

Published by: Gurwinder Singh, Puneet Jain

Author: Gurwinder Singh

Paper ID: V6I4-1344

Paper Status: published

Published: August 9, 2020

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