Information Engineering for Ports and Marine Environments - Mu, Lin; Wang, Lizhe; Wang, Mingwei
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This book describes how to build the ocean dynamics model in information assurance technology for port shipping and ocean environment. It also talkss about the three basic modules necessary for the process of modeling namely atmospheric module, wave module and current module.

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Produktbeschreibung
This book describes how to build the ocean dynamics model in information assurance technology for port shipping and ocean environment. It also talkss about the three basic modules necessary for the process of modeling namely atmospheric module, wave module and current module.
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Autorenporträt
Lin Mu is a professor and doctoral supervisor of College of Life Sciences and Oceanography, Shenzhen University. He was born in 1977, received Ph.D. degree from Ocean University of China and majored in physical oceanography. Dr. Mu has been devoted to the research fields of informational maritime safety support and applied oceanography, and has obtained significant achievements in recent years. He has published 3 monographs and over 50 research papers, 20 of which are covered by Science Citation Index. As the chief scientist, he has been presiding important projects such as National Key Research and Development Program of China, National Natural Science Foundation Project of China and National Science and Technology Support Program of China. In the field of informational maritime safety support, Prof. Mu is specialized in marine oil-spill pollution warning and firstly developed a prediction and warning system of marine oil-spill, search and rescue integration in China, which has been used successfully in a series of accident issues. As an expert in marine search and rescue techniques, he studied, predicted and analyzed the drifting trajectory of the debris of Flight MH370, which provided technical support for related emergency responses. In the field of applied oceanography, Prof. Mu proposed a real-time tidal level prediction system based on statistics and dynamic model by coupling the real-time monitoring data of meteorology and tidal level, statistical prediction method of tide, atmospheric and marine dynamics model, which conquered the drawbacks of traditional models and brought clear economic benefits. Lizhe Wang is a "ChuTian" Chair Professor at School of Computer Science, China University of Geosciences (CUG), and a Professor at Institute of Remote Sensing & Digital Earth, Chinese Academy of Sciences (CAS). Prof. Wang received B.E. & M.E from Tsinghua University and Doctor of Engineering from University Karlsruhe (Magna Cum Laude), Germany. Prof. Wang is a Fellow of IET, Fellow of British Computer Society. Prof. Wang serves as an Associate Editor of IEEE TPDS, TCC and TSUSC. His main research interests include HPC, e-Science, and remote sensing image processing. Mingwei Wang received his Ph.D. degree from Wuhan University, Wuhan, China, in 2018. He obtained the B.S. and M.S. degrees from Hubei Normal University, Huangshi, China, in 2011 and Hubei University of Technology, Wuhan, China, in 2015. He is currently a full-time scientific researcher in School of Geological Survey, China University of Geosciences, Wuhan, China. His major research interests include remote sensing image processing, swarm intelligence and machine learning.