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An integrated decision method for prediction of tropical cyclone movement by using genetic algorithm

Science China Earth Sciences 2005年第3期48卷 429-440页

作者： YANG Yuanqin1 & WANG Jizhi2 1. National Meteorological Center, Beijing 100081,China 2. Chinese Academy of Meteorological Sciences, Beijing 100081, China 1. National Meteorological Center 100081 Beijing China 2. Chinese Academy of Meteorological Sciences 100081 Beijing China

In this study an integrated decision method for the multi-prediction results of tropical cyclone movements by using genetic algorithm (GA) has been adopted. A genetic learning artifi- cial neural network (GLANN) as a learning mechanism for track prediction was developed through training with the huge samples of typhoon tracks from 1884 to 2002. The prediction of typhoon motion is to consider how to suit the dynamic change of environment, where typhoon passed through. The neural network structure is described by GA. A fitness function for choice of GA is given to approach the maximum of fitness (the minimum of the errors). Parallel comparing analyses for prediction abilities of unusual typhoon tracks in recent years by GLANN with multi-forecast methods were conducted. More types of cases were employed in the comparing analyses, which consist of the typhoon, Winnie, No.11, in 1997, characterized by a long life over the ocean and in the mainland with severe effect on China, the 10 unusual typhoon tracks in the 1990s, the tracks with landfall and affected action in 1998 and the typhoons born in the Northwestern Pacific and the South China Sea in 2000, including the 24—48 h forecast, etc. The results indicated that for prediction ability of typhoon tracks, specially for unusual typhoons, GA decision-making developed in this study is superior to the others.

关键词： genetic algorithm, integrated decision, prediction of tropical cyclone.

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Fast mode decision algorithm for spatial resolutions down-scaling transcoding to H.264

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2006年第z1期7卷 70-75页

作者： BU Jia-jun MO Lin-jian CHEN Chun YANG Zhi School of Computer Science Zhejiang University Hangzhou 310027 China School of Computer Science Zhejiang University Hangzhou 310027 China School of Computer Science Zhejiang University Hangzhou 310027 China School of Computer Science Zhejiang University Hangzhou 310027 China

A fast mode decision algorithm is proposed in this paper to accelerate the process of transcoding videos into H.264with arbitrary rate spatial resolution down-scaling. The proposed algorithm consists of three steps. First, an early-stop technique is introduced to determine the 16× 16-mode blocks, which take up about 70% of all the macroblocks; then, a bottom-up merging process is performed to determine the mode of rest non-early-stopped blocks; and then, we adopt half-pixel motion estimation to further refine the acquired predictive motion vectors. In order to obtain the predictive motion vectors for early-stop and merging processes, we propose a motion vector composition scheme, which can reuse the information in the input pre-encoded videos to handle the spatial resolution down-scaling. Experimental results showed that our algorithm is about four times faster than the Cascaded-Decoder-Encoder method and has negligible PSNR drop and little bit rate increase.

关键词： Transcoding, H.264, Mode decision, Motion composition

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Non-commitment Entropy： A Noval Modalityfor Uncertainty Measurement

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计算机科学与技术汇刊（中英文版） 2015年第2期4卷 27-34页

Three-way decision rule is the extension of traditional two-way decision. In the real environment, a decision maker is not easy tomake choice between acceptance and rejection for the uncertainly or incomplete information. In this case, people used to choosethree-way decision for the uncertain and high risky decision with extra but necessary cost. Meanwhile some general uncertaintymeasures are proposed by generalizing Shannon＇s entropy. The theory of information entropy makes the uncertainty measuresmore accuracy in boundary of three-way decision. In this paper, we propose several types of non-commitment entropy by usingthe relation of the ＇third＇ decision-non-commitment, and employ the proposed model to evaluate the significance of theattributes for classification as well.

关键词： Three-way decision, Entropy, Uncertainty Measurement

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