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Tool path planning based on conformal parameterization for meshes 被引量:3
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作者 Zhao Jibin Zou Qiang +1 位作者 Li Lun Zhou Bo 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2015年第5期1555-1563,共9页
The similarity property of conformal parameterization makes it able to locally preserve the shapes between a surface and its parameter domain, as opposed to common parameterization methods. A parametric tool path plan... The similarity property of conformal parameterization makes it able to locally preserve the shapes between a surface and its parameter domain, as opposed to common parameterization methods. A parametric tool path planning method is proposed in this paper through such parameterization of triangular meshes which is furthermore based on the geodesic on meshes. The parameterization has the properties of local similarity and free boundary which are exploited to simplify the formulas for computing path parameters, which play a fundamentally important role in tool path planning, and keep the path boundary-conformed and smooth. Experimental results are given to illustrate the effectiveness of the proposed methods, as well as the error analysis. 展开更多
关键词 Conformal parameterization Error analysis Local similarity:Tool path Triangular mesh
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Analyzing the Potential Influence of Shanghai Stock Market Based on Link Prediction Method
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作者 Hongxing YAO Yunxia LU 《Journal of Systems Science and Information》 CSCD 2017年第5期446-461,共16页
In this paper, we analyze the 180 stocks which have the potential influence on the Shanghai Stock Exchange(SSE). First, we use the stock closing prices from January 1, 2005 to June 19, 2015 to calculate logarithmic th... In this paper, we analyze the 180 stocks which have the potential influence on the Shanghai Stock Exchange(SSE). First, we use the stock closing prices from January 1, 2005 to June 19, 2015 to calculate logarithmic the correlation coefficient and then build the stock market model by threshold method. Secondly, according to different networks under different thresholds, we find out the potential influence stocks on the basis of local structural centrality. Finally, by comparing the accuracy of similarity index of the local information and path in the link prediction method, we demonstrate that there are best similarity index to predict the probability for nodes connection in the different stock networks. 展开更多
关键词 correlation coefficient local structural centrality potentially influential stocks local information similarity index path similarity index
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