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Titlebook: Proceedings of the 13th National Technical Seminar on Unmanned System Technology 2023—Volume 1; NUSYS’23 Zainah Md. Zain,Zool Hilmi Ismail,

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书目名称Proceedings of the 13th National Technical Seminar on Unmanned System Technology 2023—Volume 1
副标题NUSYS’23
编辑Zainah Md. Zain,Zool Hilmi Ismail,Rama Rao Karri
视频video
概述Discusses advances in unmanned system and marine technologies.Provides researchers and policy-makers with insights into technology development and utilization.Describes technologies and applications d
丛书名称Lecture Notes in Electrical Engineering
图书封面Titlebook: Proceedings of the 13th National Technical Seminar on Unmanned System Technology 2023—Volume 1; NUSYS’23 Zainah Md. Zain,Zool Hilmi Ismail,
描述.This book comprises the proceedings of the 13th National Technical Symposium on Unmanned System Technology 2023 (NUSYS’23) held on October 2–3, 2023. It covers a number of topics, including intelligent robotics, novel sensor technology, control algorithms, acoustics signal processing, imaging techniques, biomimetic robots, green energy sources, and underwater communication backbones and protocols, and it appeals to researchers developing marine technology solutions and policy-makers interested in technologies to facilitate the exploration of coastal and oceanic regions...This book is part of a 2-volume series of these conference proceedings, it represents Volume 1 in the series..
出版日期Conference proceedings 2024
关键词Underwater Vehicle Technology; Artificial Intelligent Subsea System; Control Systems; Software Engineer
版次1
doihttps://doi.org/10.1007/978-981-97-2007-1
isbn_softcover978-981-97-2009-5
isbn_ebook978-981-97-2007-1Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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https://doi.org/10.1007/978-981-97-2007-1Underwater Vehicle Technology; Artificial Intelligent Subsea System; Control Systems; Software Engineer
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Munther Mohamed-Abdulhussein,Rosmiwati Mohd-Mokhtars among organisms and large temporal variations. The researchers in the OFR project were motivated by their interest in the history of ecosystems and the intera978-4-431-68000-0978-4-431-67879-3Series ISSN 0070-8356 Series E-ISSN 2196-971X
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Cuckoo Search Algorithms for Maximum Power Point Intelligent Tracking of PV Array Under Partial Shading Conditions,racking time between (0.17–0.23) s under different partial shading conditions. The results were compared with the P&O method, which showed its superiority in tracking accuracy, tracking speed, peak power, tracking power, and tracking efficiency for MPP.
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