Lin Mu

Information Engineering for Ports and Marine Environments

Ebook (PDF Format)

Information Engineering for Port and Marine Environments provides the technology of tidal level prediction, the technology of oil spill early-warning, and the research for the theory of storm sedimentation, the construction for monitor ability, the early-warning service for numerical simulation and operational, which involves many aspects such as theoretical research, system establishment, and application of information technology, et al. Because of the certain prospective and advancement of multiple work, it will play a positive role in promoting the related technology of the field.There are several of important offshore ports in China, such… Mehr

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Produktdetails

Weitere Autoren: Wang, Lizhe / Wang, Mingwei

ISBN: 978-1-00-005162-9
EAN: 9781000051629
Produktnummer: 33903045
Verlag: Taylor & Francis Ltd.
Sprache: Englisch
Erscheinungsjahr: 2020
Seitenangabe: 254 S.
Plattform: PDF
Masse: 68'538 KB
Abbildungen: 246 schwarz-weiße Abbildungen, 20 schwarz-weiße Tabellen

Über den Autor

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 technicalsupport 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.