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194 results on '"Suman Jana"'

1. An Improved Parametric Method for Selecting Different Types of Tesla Transformer Primary Coil to Construct an Artificial Lightning Simulator

Author

Suman Jana, Pabitra Kumar Biswas, Thanikanti Sudhakar Babu, and Hassan Haes Alhelou

Subjects
Ansys, flat spiral coil, helical coil, high voltage test, inverse conical coil, impulse generator, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Due to the intermittent and hazardous nature of lightning impulse, researchers rely on artificial impulse generators to study it. The Tesla coil is a commonly used device to generate artificial lightning. This paper presents a parametric analysis of the primary side coil of the Tesla transformer. The analysis employs seven key electrical properties: skin depth, current density, voltage distribution, Ohmic loss, electric field strength, charge density, and energy content. These parameters are used to evaluate the response of various coil types to high voltage impulses. The Ansys high-frequency electromagnetic solver is used to perform a comparative analysis of essential parameters. The results can aid lightning researchers and Tesla coil designers in determining the optimal designs for Tesla primary coils in the future. The analyzed data is validated using Tesla coil hardware, which is used as an artificial lightning producer to test the feasibility of a lightning energy harvester.

Published
2023
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2. Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures

Author

Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Henry Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, and Gesualdo Scutari

Subjects
Resilience, autonomous systems, resilience by design, resilience by reaction, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64
Abstract

In this article, we put forward the substantial challenges in cyber resilience in the domain of autonomous systems and outline foundational solutions to address these challenges. These solutions fall into two broad themes: resilience-by-design and resilience-by-reaction. We use several application drivers from autonomous systems to motivate the challenges in cyber resilience and to demonstrate the benefit of the solutions. We focus on some autonomous systems in the near horizon (autonomous ground and aerial vehicles) and also a little more distant (autonomous rescue and relief). For resilience-by-design, we focus on design methods in software that are needed for our cyber systems to be resilient. In contrast, for resilience-by-reaction, we discuss how to make systems resilient by responding, reconfiguring, or recovering at runtime when failures happen. We also discuss the notion of adaptive execution to improve resilience, execution transparently and adaptively among available execution platforms (mobile/embedded, edge, and cloud). For each of the two themes, we survey the current state, and the desired state and ways to get there. We conclude the paper by looking at the research challenges we will have to solve in the short and the mid-term to make the vision of resilient autonomous systems a reality. This article came out of discussions that started at the NSF-sponsored Grand Challenges in Resilience Workshop held at Purdue in 2019 with the co-authors contributing to going into the depth of the issues and then this article.

Published
2020
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5. Position: TrustLLM: Trustworthiness in Large Language Models.

Author

Yue Huang, Lichao Sun 0001, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang 0001, Huan Zhang 0001, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang 0001, Mohit Bansal, James Zou 0001, Jian Pei, Jian Liu, Jianfeng Gao 0001, Jiawei Han 0001, Jieyu Zhao, Jiliang Tang, Jindong Wang 0001, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He 0001, Lifu Huang, Michael Backes 0001, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu 0001, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu 0001, Tianyi Zhou 0001, William Wang 0001, Xiang Li 0001, Xiangliang Zhang 0001, Xiao Wang, Xing Xie 0001, Xun Chen, Xuyu Wang, Yan Liu 0002, Yanfang Ye 0001, Yinzhi Cao, Yong Chen, and Yue Zhao 0016

Published
2024

10. TrustLLM: Trustworthiness in Large Language Models.

Author

Lichao Sun 0001, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu 0002, Yijue Wang, Zhikun Zhang 0001, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang 0001, Huan Zhang 0001, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang 0001, Mohit Bansal, James Zou 0001, Jian Pei, Jian Liu, Jianfeng Gao 0001, Jiawei Han 0001, Jieyu Zhao, Jiliang Tang, Jindong Wang 0001, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He 0001, Lifu Huang, Michael Backes 0001, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu 0001, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu 0001, Tianyi Zhou 0001, William Wang 0001, Xiang Li 0001, Xiangliang Zhang 0001, Xiao Wang, Xing Xie 0001, Xun Chen, Xuyu Wang, Yan Liu 0002, Yanfang Ye 0001, Yinzhi Cao, and Yue Zhao 0016

Published
2024
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