YUE Liqun, XIA Qing, LIU Jiajia, CHEN Ke. Analysis of 3D Visualization System Hardware Interfering Factors with Partial Least-Squares Regression Method[J]. Geomatics and Information Science of Wuhan University, 2012, 37(6): 746-749.
Citation: YUE Liqun, XIA Qing, LIU Jiajia, CHEN Ke. Analysis of 3D Visualization System Hardware Interfering Factors with Partial Least-Squares Regression Method[J]. Geomatics and Information Science of Wuhan University, 2012, 37(6): 746-749.

Analysis of 3D Visualization System Hardware Interfering Factors with Partial Least-Squares Regression Method

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  • Received Date: April 18, 2012
  • Published Date: June 04, 2012
  • We get some experiment data by flying on global multi-area and multi-level 3D terrain at different machine configuration.Then using the method of partial least-squares regression,we do study and analysis on the 11 hardware elements which affect 3D visualization system running capability.There is high collinearity in the data,making the least-squares regression not reliable.Using the partial least squares regression,the effect of collinearity can be mitigated effectively,and the affected complexion about 3D visualization system running efficiency by hardware elements can be easily reflected.We conclude that the main hardware affecting elements to 3D visualization system are CPU basic frequency,L2 Cache,and Memory,and L2 Cache plays an important role on the running speed of 3D visualization system.
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