Adaptive Power Quality for Power Management Units using Smart Technologies
暫譯: 使用智慧技術的電源管理單元自適應電能品質
Vaish, Arti, Kumar Goswami, Pankaj, Bhatia, Surbhi
相關主題
商品描述
This proposed book covers the issues associated in smart systems due to the presence of onboard nonlinear components. It discusses the advanced architecture of smart system for power management unit. It explores the issues in power management and identifies the hazardous signal in power management unit of smart devices.
商品描述(中文翻譯)
本書提議涵蓋由於機載非線性元件的存在而引發的智慧系統相關問題。它討論了智慧系統在電源管理單元的先進架構。書中探討了電源管理中的問題,並識別智慧設備電源管理單元中的危險信號。
作者簡介
Arti Vaish is a professor in the Department of Computer Engineering,
School of Engineering and Technology at O. P. Jindal University, Raigarh,
CG, India. She earned her PhD degree from Netaji Subhash Institute of
Technology, Delhi University, New Delhi, India (2012). She has registered
20 patents and published and presented more than a hundred research
papers in SCI indexed/Scopus indexed international journals and at
international and national conferences. She has authored six books. She
has over 18 years of rich experience in academia and research. She is a
recipient of the 2021 Who's Who in the World(R) Lifetime Achievement
Award and was successfully nominated as a candidate for the 2018-2021
edition of Who's Who in America. She received an academic excellence
award from WeGrow and the Ministry of Micro, Small and Medium
Enterprises (MSME) in 2020 and the best researcher award in 2020 from
the Institute of Technical and Scientific Research (ITSR) Foundation. She
had guided six PhD students. Dr Arti has been a reviewer for several
archived journals at the international level: Progress in Electromagnetic
Research, Wireless Personal Communication, the IETE Journal of
Research, and WSEAS Transactions, to name a few of them.
Pankaj Kumar Goswami earned B.Tech., M.Tech, and PhD degrees in the
area of Electronic Engineering and has 15 years of teaching experience
in reputed organisations. He has more than 30 international publications
in peer-reviewed journals, including IEEE Explore, which are Scopus and
SCI indexed. His main areas of research are machine learning, the internet
of things, wideband antenna designs, cognitive radios, and power quality
issues in non-linear electronic devices. He has organised several national
and international conferences, symposia, and webinars. Dr Goswami has
also registered several patents in the fields of antenna design, the internet
of things, and machine-learning-based applications under the Intellectual
Property Rights of the Government of India. He is an e-educator in the
field of machine learning using Python. He is actively associated in NAAC
SSR preparations at university interfaces and has visited several times the
SAARC countries of Nepal, Bhutan, the seven sisters (Arunachal Pradesh,
Assam, Manipur, Meghalaya, Mizoram, Nagaland, and Tripura), and the
"brother" state Sikkim for various academic promotional activities. He
is a professional member of several national and international bodies
such as, IEEE, IETE and ISTE. Dr Goswami has been involved in various
educational outreach activities through online sessions on artificial intelligence,
machine learning, and smart antennas.
Surbhi Bhatia holds a doctorate in Computer Science and Engineering from
Banasthali University, which she earned in 2018 in the area of machine
learning and social media analytics. She earned project management professional
certification from the Project Management Institute, USA. She
is currently an assistant professor in the Department of Data Science,
School of Science, Engineering and Environment, University of Salford,
Manchester, United Kindgom. She has more than ten years of teaching
experience in different universities in India and Saudi Arabia. She is also
a consultant in the Research Lab, India. She is an editorial board member
for the International Journal of Hybrid Intelligence and for SN Applied
Sciences. She has registered eight national and international patents in
India, Australia, and the USA. She has published many papers in reputed
journals and in high indexing databases (SCI, SCIE, Scopus, Web of
Science, ESCI). She currently serves as a guest editor of special issues for
the journals SN Applied Sciences, Computer, Materials and Continua,
and Internet of Things. She has delivered talks as a keynote speaker at
IEEE conferences and in faculty development programmes. She has conducted
workshops for All India Council for Technical Education (AICTE)
programmers and chaired technical sessions at many conferences. She has
authored two books published by Springer and Wiley. She has also edited
seven books with CRC Press, Elsevier, and Springer. She was selected
for the prestigious "Best Young National Award" by the IRDP group of
journals in India. She has had many projects approved by the Ministry
of Education, Saudi Arabia and holds a Deanship of Scientific Research
in Saudi Arabia and DST, India. Her areas of interest are Data Mining,
Machine Learning, Sentiment Analysis, Natural Language Processing,
and Data Analytics.
Mokhtar Shouran earned a BSc degree in Control Engineering from the
College of Electronic Technology, Bani Walid, Libya, in 2011. He earned
an MSc degree with distinction in Electronics and Information Technology
from the University of South Wales, Treforest, UK, in 2017. He was also
awarded a certificate of excellence. Shouran is currently pursuing a PhD
degree in Load Frequency Control in Power Systems at the Wolfson
Centre for Magnetics, Cardiff University, Cardiff, UK. His research interests
include Optimisation Algorithms, Fuzzy Logic Control, Sliding Mode
Control, Traditional Control, and Power System Stability and Control.
作者簡介(中文翻譯)
Arti Vaish 是印度 Raigarh O. P. Jindal 大學工程與技術學院計算機工程系的教授。她於 2012 年在新德里德里大學的 Netaji Subhash 技術學院獲得博士學位。她已註冊 20 項專利,並在 SCI 和 Scopus 索引的國際期刊及國際和國內會議上發表和展示了超過一百篇研究論文。她著有六本書籍,擁有超過 18 年的學術和研究豐富經驗。她是 2021 年 Who's Who in the World(R) Lifetime Achievement 獎的獲得者,並成功被提名為 2018-2021 年版的 Who's Who in America 候選人。她於 2020 年獲得 WeGrow 和微型、小型及中型企業部 (MSME) 的學術卓越獎,並於 2020 年獲得技術與科學研究所 (ITSR) 基金會的最佳研究者獎。她曾指導六名博士生。Arti 博士曾擔任多個國際期刊的審稿人,包括 Progress in Electromagnetic Research、Wireless Personal Communication、IETE Journal of Research 和 WSEAS Transactions 等。
Pankaj Kumar Goswami 獲得電子工程領域的 B.Tech.、M.Tech. 和博士學位,並在知名機構擁有 15 年的教學經驗。他在同行評審的期刊上發表了超過 30 篇國際論文,包括 IEEE Explore,這些期刊均為 Scopus 和 SCI 索引。他的主要研究領域包括機器學習、物聯網、寬頻天線設計、認知無線電和非線性電子設備中的電能質量問題。他組織了多個國內和國際會議、研討會和網絡研討會。Goswami 博士還在天線設計、物聯網和基於機器學習的應用領域註冊了多項專利,這些專利均在印度政府的知識產權下。他是使用 Python 的機器學習領域的電子教育者,並積極參與大學的 NAAC SSR 準備工作,曾多次訪問南亞區域合作聯盟 (SAARC) 國家,包括尼泊爾、不丹、七姐妹(阿魯納恰爾邦、阿薩姆邦、曼尼普爾、梅加拉亞邦、米佐拉姆邦、那加蘭邦和特里普拉邦)以及“兄弟”國家西藏進行各種學術推廣活動。他是多個國內和國際組織的專業成員,如 IEEE、IETE 和 ISTE。Goswami 博士通過在線課程參與了各種教育外展活動,主題包括人工智慧、機器學習和智能天線。
Surbhi Bhatia 擁有來自 Banasthali 大學的計算機科學與工程博士學位,於 2018 年獲得,研究領域為機器學習和社交媒體分析。她獲得了美國項目管理協會的項目管理專業認證。她目前是英國曼徹斯特薩爾福德大學科學、工程與環境學院數據科學系的助理教授。她在印度和沙烏地阿拉伯的不同大學擁有超過十年的教學經驗。她還是印度研究實驗室的顧問。她是 International Journal of Hybrid Intelligence 和 SN Applied Sciences 的編輯委員會成員。她在印度、澳大利亞和美國註冊了八項國內和國際專利。她在知名期刊和高索引數據庫(SCI、SCIE、Scopus、Web of Science、ESCI)上發表了多篇論文。她目前擔任 SN Applied Sciences、Computer, Materials and Continua 和 Internet of Things 期刊特刊的客座編輯。她曾在 IEEE 會議和教職員發展計劃中擔任主題演講者,並為全印度技術教育委員會 (AICTE) 的計劃舉辦工作坊,並在多個會議上主持技術會議。她著有兩本由 Springer 和 Wiley 出版的書籍,並編輯了七本由 CRC Press、Elsevier 和 Springer 出版的書籍。她被印度 IRDP 期刊集團選為“最佳青年國家獎”的獲得者。她的多個項目獲得沙烏地阿拉伯教育部的批准,並在沙烏地阿拉伯和印度的 DST 擔任科學研究院院長。她的研究興趣包括數據挖掘、機器學習、情感分析、自然語言處理和數據分析。
Mokhtar Shouran 於 2011 年在利比亞 Bani Walid 的電子技術學院獲得控制工程學士學位。2017 年,他在英國南威爾士大學 Treforest 獲得電子與信息技術的優異碩士學位,並獲得卓越證書。Shouran 目前正在卡迪夫大學的 Wolfson 磁性中心攻讀電力系統負載頻率控制的博士學位。他的研究興趣包括優化算法、模糊邏輯控制、滑模控制、傳統控制以及電力系統的穩定性和控制。