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Research Paper

Vehicle detection and classification using Deep Neural Networks

Insightful transportation frameworks have recognized a proportion of consideration somewhat recently. In this space vehicle arrangement and restriction is the key errand. In this assignment the greatest test is to separate the highlights of various vehicles. Further, vehicle grouping and identification is a difficult issue to recognize and find in light of the fact that wide assortment of vehicles doesn’t follow the path discipline. In this article, to distinguish and find, we have made a convolution neural organization without any preparation to group and identify objects utilizing a cutting edge Deep neural organization dependent on quick locales. In this work we have considered three kinds of vehicles like transport, vehicle and bicycle for grouping and recognition. Our methodology will utilize the whole picture as information and make a bouncing box with likelihood evaluations of the element classes as yield. The aftereffects of the investigation have shown that the projected framework can significantly improve the exactness of the discovery..

Published by: Sathishkumar M., Kavya N., Kowsalya P., Nandhini G, Kaviyadharshini S.

Author: Sathishkumar M.

Paper ID: V7I3-1706

Paper Status: published

Published: June 14, 2021

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Research Paper

Video anomaly detection

Security is always a main concern in every domain, due to a rise in crime rate in crowded events or suspicious lonely areas. Abnormal detection and monitoring have major applications of computer vision to tackle various problems. Due to the growing demand in the protection of safety, security, and personal properties, the needs and deployment of video surveillance systems can catch all the anomaly and anomalies play important role in surveillance detection. Anomaly detection is used to identify the odd pattern or abnormal behaviors in the surrounding. Surveillance videos are able to capture and store a variety of anomalies in the surrounding. People detection and tracking are of important research fields that have gained a lot of attention in the last few years. Most of the time, the timely and accurate detection of video anomalies is the main objective of security applications. The video anomalies such as anomalous activities and anomalous entities are defined as abnormal or irregular events that are different from normal events happening every day. In this paper, we present how surveillance videos are used to detect anomalies.

Published by: Vishal Singh, Keyur Madane, Himanshu Sugandhi, Ankit Joshi, B. S. Satpute

Author: Vishal Singh

Paper ID: V7I3-1859

Paper Status: published

Published: June 14, 2021

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Survey Report

Offline lectures are effective tools to improve concentration

Educational institutions (schools, colleges, and universities) in India are currently based only on traditional methods of learning, that is, they follow the traditional set-up of face-to-face lectures in a classroom. Although many academic units have also started blended learning, still a lot of them are stuck with old procedures. The sudden outbreak of a deadly disease called COVID-19 caused by a coronavirus (SARS-COV-2) shook the entire world. The World Health Organization announced its pandemic. This pandemic of COVID-19 is observed in every sector around the world. This virus spread very quickly, so WHO said to take 2 feet distance & there is a need of lockdown because of this all world is locked. This pandemic situation very badly affected every sector, and it's very badly affected a student's life. Crossing this situation challenges the education system. The world and teachers were forced to move to an online method of teaching overnight. Many academic institutions that previously avoided changing their traditional educational attitudes do not have them. Options without a complete shift to online teaching and learning. Online teaching is more readily accepted. This research is highlighting the impact of COVID-19 in education and the effectiveness of offline lectures and online lectures. This study is received from 10th standard student to Ph.D. student response to an online class and investigate student’s perception of the effectiveness and concentration between online class and offline class. The method uses data analysis foreign from the questionnaires using qualitative and quantitative approaches to provide data for content analysis to find student opinion.

Published by: Manish Balasaheb Pawar, Somshankar Narasappa Maitri, Shabnam S. Mahat

Author: Manish Balasaheb Pawar

Paper ID: V7I3-1857

Paper Status: published

Published: June 14, 2021

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Research Paper

ISO 22000: 2018 Implementation (FSMS)

The ISO 22000/FSMS is the most advanced universal management system for food safety. Implementing this standard will help any organization to achieve top-notch safety and will be able to eliminate all hazards way before creating any kind of waste, accidents, or any customer complaints. This paper indicates the initial documentation and implementation of the FSMS standard in the plastic molding industry.

Published by: Ashish Kortikar, Sunil Kuber

Author: Ashish Kortikar

Paper ID: V7I3-1851

Paper Status: published

Published: June 14, 2021

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Review Paper

Reliable selection of hot-swap FETs

Hot Swapping causes a sudden change in the loading conditions of the system which in turn affects the current drawn. Hot-Swap circuits which are used to protect the end equipment employ an external FET which must survive the sudden stress generated from the inrush current. The selection of MOSFET for a hot-swap application is a highly iterative and time-consuming process. This report gives an overview of the concepts and calculations that need to be considered to decide the right MOSFET for the application.

Published by: Nagaraja Sekhar U., Dr. Nithin M.

Author: Nagaraja Sekhar U.

Paper ID: V7I3-1850

Paper Status: published

Published: June 14, 2021

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Review Paper

Power generation from exhaust gases of bike

Regarding the age of power from motorcycles, this paper manages the use of exhaust gas. In recent times in the automobile world, numerous and astounding ideas are made and even the previous concepts are being improved to meet and conquer the new age difficulties. Now, the electrical aspect has come into the picture and supporting the automobile sector. With the help of waste gases emitted by the vehicle silencer which are normally released into the environment using a straightforward system like DC generator and silencer; Electrical force is produced through this is the crucial change made.

Published by: Rushikesh Borate, Omkar Kadam, Saqib Deshmukh, Saurabh Sirsikar

Author: Rushikesh Borate

Paper ID: V7I3-1843

Paper Status: published

Published: June 14, 2021

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