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Titlebook: Computational Intelligence Methods for Green Technology and Sustainable Development; Proceedings of the I Yo-Ping Huang,Wen-June Wang,Hoai-

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書(shū)目名稱Computational Intelligence Methods for Green Technology and Sustainable Development
副標(biāo)題Proceedings of the I
編輯Yo-Ping Huang,Wen-June Wang,Hoai-Nam Quach
視頻videohttp://file.papertrans.cn/233/232396/232396.mp4
概述Provides recent advances in Green Technology and Sustainable Development in Industrial Revolution 4.0.Presents selected papers from the 6th International Conference on Green Technology and Sustainable
叢書(shū)名稱Lecture Notes in Networks and Systems
圖書(shū)封面Titlebook: Computational Intelligence Methods for Green Technology and Sustainable Development; Proceedings of the I Yo-Ping Huang,Wen-June Wang,Hoai-
描述This book provides readers with peer-reviewed research papers presented at the 6th International Conference on Green Technology and Sustainable Development (GTSD) held in Nha Trang City, Vietnam, from July 29 to 30, 2022. The book is original work of researchers from academia and industry focusing on the theme “Green technology and sustainable development in Industrial Revolution 4.0” not only to raise awareness of the vital importance of sustainability in education, technology, and economic development, but also to highlight the essential roles of technology innovation for the green future. The book presents a wide range of research aspects including energy engineering, electric power systems, renewable energy systems, automatic control engineering, robotics, vehicle engineering, material engineering, construction engineering, mechanical engineering, vibrations, computational analysis, numerical investigation, system failure, technological solutions in health care, and so on. Throughthorough research basing on both experimental and numerical methods, the authors feature either solutions for existing problems or optimization and improvement for performance of existing methods. The
出版日期Conference proceedings 2023
關(guān)鍵詞GTSD 2022; Computational Intelligence; Green Technology; Green Information Technologies; Sustainable Dev
版次1
doihttps://doi.org/10.1007/978-3-031-19694-2
isbn_softcover978-3-031-19693-5
isbn_ebook978-3-031-19694-2Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Lecture Notes in Networks and Systemshttp://image.papertrans.cn/c/image/232396.jpg
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Auxetic Structure Design with Virtual Element Method (VEM)-Based Topology Optimization,n. Then, a pattern copy constraint is used to form an auxetic macrostructure—a negative Poisson’s ratio structure. Besides, benchmark auxetic designs are rapidly prototyped using 3D printers and tested with tensile experiments to show the link of the topology optimization method with additive manufacturing.
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Handbuch der allgemeinen Pathologier visibility circumstances because of the lack of detail and information. These situations can easily cause collisions and many dangerous accidents for transportation. Many previous efforts have focused on improving images only in a single case, such as low-light, fog, or dust. This way leads to sel
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https://doi.org/10.1007/978-3-663-04354-6, due to Betz’s law, single-stage HAWTs only can extract the maximum of 59.3% of the energy available in the wind. This means that more than 40% of the energy from the wind is theoretically wasted. Therefore, a new idea of a horizontal coaxial dual-stage wind turbine with independent rotation is pro
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