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Titlebook: Information Computing and Applications; Second International Baoxiang Liu,Chunlai Chai Conference proceedings 2011 Springer-Verlag GmbH Ber

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书目名称Information Computing and Applications
副标题Second International
编辑Baoxiang Liu,Chunlai Chai
视频video
概述Fast track conference proceedings.Unique visibility.State of the art research
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Information Computing and Applications; Second International Baoxiang Liu,Chunlai Chai Conference proceedings 2011 Springer-Verlag GmbH Ber
描述This book constitutes the refereed proceedings of the Second International Conference on Information Computing and Applications, ICICA 2010, held in Qinhuangdao, China, in October 2011. .The 97 papers presented were carefully reviewed and selected from numerous submissions. They are organized in topical sections on computational economics and finance, computational statistics, mobile computing and applications, social networking and computing, intelligent computing and applications, internet and Web computing, paralelle and distributed computing, and system simulation and computing.
出版日期Conference proceedings 2011
关键词Web service; complex dynamical networks; hybrid networking; mobile sensor networks; software requirement
版次1
doihttps://doi.org/10.1007/978-3-642-25255-6
isbn_softcover978-3-642-25254-9
isbn_ebook978-3-642-25255-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
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The Research of Weighted-Average Fusion Method in Inland Traffic Flow Detectionlity, can effectively improve the robustness of the system measurements, it can get accurate test results. For inland river ships traffic flow testing various sensing device for the collected data format is not the same, weighted average estimate data fusion method is suitable for the situation.
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Statistical Analysis of Number of Applicants for Entrance Examination for MA Degree in China Based oiction model, compared two models, and took some relative optimum processing. At last, using grey metabolic prediction model to forecast the number of students who take part in the entrance exams for postgraduate schools in next five years, provided a reference for the relevant departments.
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