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13,692 results on '"Kumar, T"'

22. The 4m International Liquid Mirror Telescope: Construction, operation, and science

Author

Surdej, Jean, Hickson, Paul, Misra, Kuntal, Banerjee, Dipankar, Ailawadhi, Bhavya, Akhunov, Talat, Borra, Ermanno, Dubey, Monalisa, Dukiya, Naveen, Filali, Sara, Hellemeier, Joschua, Kharayat, Manisha, Kumar, Brajesh, Kumar, Hitesh, Kumar, Mukesh, Kumar, T. S., Kumari, Priyanshi, Negi, Vibhore, Pospieszalska-Surdej, Anna, Prabhavu, Sarath, Pradhan, Bikram, Pranshu, Kumar, Rawat, Himanshu, Reddy, B. Krishna, Pillai, Arun Sasidharan, Singh, Khushal, Tremblay, Suzanne, Turakhia, Saakshi, and Vijay, Sahaana

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The International Liquid Mirror Telescope (ILMT) project was motivated by the need for an inexpensive 4 metre diameter optical telescope that could be devoted entirely to astronomical surveys. Its scientific programmes include the detection and study of transients, variable objects, asteroids, comets, space debris and low surface brightness galaxies. To this end, a collaboration was formed between the Institute of Astrophysics and Geophysics (Li\`ege University, Belgium), several Canadian universities (University of British Columbia, Laval University, University of Montreal, University of Toronto, York University, University of Victoria) and the Aryabhatta Research Institute of Observational Sciences (ARIES, India). After several years of design work in Belgium and construction in India on the ARIES Devasthal site, the telescope saw its first light on 29 April 2022. Its commissioning phase lasted from May 2022 until June 2023 (beginning of the monsoon). The ILMT was inaugurated on 21 March 2023 and has been in regular operation since October 2023. The telescope continuously observes the sky passing at the zenith using the SDSS g', r', and i' filters. This paper describes the ILMT, its operation, performance and shows some initial results., Comment: 12 pages, 18 figures, accepted for publication in Astronomy & Astrophysics

Published
2025
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23. Enhancing Lifelong Multi-Agent Path Finding with Cache Mechanism

Author

Tang, Yimin, Yu, Zhenghong, Zheng, Yi, Kumar, T. K. Satish, Li, Jiaoyang, and Koenig, Sven

Subjects
Computer Science - Robotics, Computer Science - Artificial Intelligence
Abstract

Multi-Agent Path Finding (MAPF), which focuses on finding collision-free paths for multiple robots, is crucial in autonomous warehouse operations. Lifelong MAPF (L-MAPF), where agents are continuously reassigned new targets upon completing their current tasks, offers a more realistic approximation of real-world warehouse scenarios. While cache storage systems can enhance efficiency and reduce operational costs, existing approaches primarily rely on expectations and mathematical models, often without adequately addressing the challenges of multi-robot planning and execution. In this paper, we introduce a novel mechanism called Lifelong MAPF with Cache Mechanism (L-MAPF-CM), which integrates high-level cache storage with low-level path planning. We have involved a new type of map grid called cache for temporary item storage. Additionally, we involved a task assigner (TA) with a locking mechanism to bridge the gap between the new cache grid and L-MAPF algorithm. The TA dynamically allocates target locations to agents based on their status in various scenarios. We evaluated L-MAPF-CM using different cache replacement policies and task distributions. L-MAPF-CM has demonstrated performance improvements particularly with high cache hit rates and smooth traffic conditions., Comment: arXiv admin note: substantial text overlap with arXiv:2403.13421

Published
2025

34. Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X

Author

Shekar, Pavan C, Kanhangad, Vivek, Maheshwari, Shishir, and Kumar, T Sunil

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Gastrointestinal (GI) bleeding, a critical indicator of digestive system disorders, re quires efficient and accurate detection methods. This paper presents our solution to the Auto-WCEBleedGen Version V1 Challenge, where we achieved the consolation position. We developed a unified YOLOv8-X model for both detection and classification of bleeding regions in Wireless Capsule Endoscopy (WCE) images. Our approach achieved 96.10% classification accuracy and 76.8% mean Average Precision (mAP) at 0.5 IoU on the val idation dataset. Through careful dataset curation and annotation, we assembled and trained on 6,345 diverse images to ensure robust model performance. Our implementa tion code and trained models are publicly available at https://github.com/pavan98765/Auto-WCEBleedGen., Comment: 11 pages, 4 figures, challenge

Published
2024

46. Blockchain-Based Anomaly Detection and Intrusion Prevention in IoT Networks

Author

Ganesh Kumar, G., Kanakaprabha, S., Venu Gopal, Gaddam, Shaik, Riaz, Senthil Kumar, T., Udhaya Kumar, T., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Lin, Frank, editor, Pastor, David, editor, Kesswani, Nishtha, editor, Patel, Ashok, editor, Bordoloi, Sushanta, editor, and Koley, Chaitali, editor

Published
2025
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