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841 results on '"Singh, R. A."'

31. Digital data provenance for the power grid based on a Keyless Infrastructure Security Solution

Author

Sebastian-Cardenas, D., primary, Gourisetti, S., additional, Mylrea, M., additional, Moralez, A., additional, Day, G., additional, Tatireddy, V., additional, Allwardt, C., additional, Singh, R., additional, Bishop, R., additional, Kaur, K., additional, Plummer, J., additional, Raymond, G., additional, Johnson, B., additional, and Chawla, A., additional

Published
2021
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37. COVID-19 Monitoring System using Social Distancing and Face Mask Detection on Surveillance video datasets

Author

Ruchita R Biradar, Rujula Singh R, Nikhil Nayak, and Sahana Srinivasan

Subjects
FOS: Computer and information sciences, DBSCAN, Computer Science - Machine Learning, business.industry, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Pattern recognition, Convolutional neural network, Object detection, Machine Learning (cs.LG), Binary classification, Noise (video), Artificial intelligence, F1 score, Cluster analysis, business, Face detection
Abstract

In the current times, the fear and danger of COVID-19 virus still stands large. Manual monitoring of social distancing norms is impractical with a large population moving about and with insufficient task force and resources to administer them. There is a need for a lightweight, robust and 24X7 video-monitoring system that automates this process. This paper proposes a comprehensive and effective solution to perform person detection, social distancing violation detection, face detection and face mask classification using object detection, clustering and Convolution Neural Network (CNN) based binary classifier. For this, YOLOv3, Density-based spatial clustering of applications with noise (DBSCAN), Dual Shot Face Detector (DSFD) and MobileNetV2 based binary classifier have been employed on surveillance video datasets. This paper also provides a comparative study of different face detection and face mask classification models. Finally, a video dataset labelling method is proposed along with the labelled video dataset to compensate for the lack of dataset in the community and is used for evaluation of the system. The system performance is evaluated in terms of accuracy, F1 score as well as the prediction time, which has to be low for practical applicability. The system performs with an accuracy of 91.2% and F1 score of 90.79% on the labelled video dataset and has an average prediction time of 7.12 seconds for 78 frames of a video., Comment: I, Rujula Singh R, would like to apologize to the research community for the confusion caused by the inconsistency in author lists between multiple versions of this paper. I take full responsibility for this error and will be more diligent in the future to ensure the accuracy and consistency of our research publications

Published
2021

48. Implementation of a DC Micro-grid for House Hold Applications

Author

G. Arunkumar, S. Banumathi, B Keerthi Vardhan, Indragandhi, and Raja Singh. R

Subjects
Battery (electricity), State of charge, Power rating, Electricity generation, Power Balance, business.industry, Computer science, business, Load profile, Automotive engineering, DC-BUS, Renewable energy
Abstract

The energy demand around the globe is raising drastically due to changes in-terms of technology and industrial growth around the world. Also, due to the conventional power generation, pollution is rising. Hence there is a need of clean and reusable power generation of power, so the best solution for this is renewable energy sources. Battery management system is done by using the proposed algorithm, which will ensure power balance in the system. Converters are used to interconnect the solar and battery to DC bus link. To control the battery, state of charge and current direction of battery are considered. The sizing of the system and design of the system is analyzed in this work. And a 250W power rating system is designed according to the application need, according to the load profile and a battery management is proposed to control the battery charging and discharging.

Published
2018

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