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	Nonlinear analysis method for predicting optical surface deformations resulted from assembly process (EI CONFERENCE) 会议论文 OAI收割 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, April 26, 2010 - April 29, 2010, Dalian, China Dong W.; Yong Y.; Guang J. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 There are three main nonlinear elements in the large mirror assemblies which are screw pretension adhesive stress and state changes in the assembly process. The optical shape will be influenced seriously by these factors. But the impacts will not be shown in linear analysis results because as the simplification these factors have been ignored. The nonlinear analysis method for predicting optical surface deformations resulted from assembly process is discussed in detail. Take a typical mirror support structure for example the nonlinear analysis model was established. Comparing the calculation results with the optical shape test it is illustrated that nonlinear analysis is more accurate and closer to the test result. And according to the simulation result the bowl-shaped depression which was discovered in the test can also be explained reasonably. 2010 Copyright SPIE - The International Society for Optical Engineering.
	Infrared face recognition using linear subspace analysis (EI CONFERENCE) 会议论文 OAI收割 MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, October 30, 2009 - November 1, 2009, Yichang, China 作者: Wang D. 收藏 \| 浏览/下载：35/0 \| 提交时间：2013/03/25 Infrared image offers the main advantage over visible image of being invariant to illumination changes for face recognition. In this paper based on the introduction of main methods of linear subspace analysis such as Principal Component Analysis (PCA) Linear Discriminant Analysis(LDA) and Fast Independent Component Analysis (FastICA) the application of these methods to the recognition of infrared face images offered by OTCBVS workshop are investigated and the advantages and disadvantages are compared. Experimental results show that the combination approach of PCA and LDA leads to better classification performance than single PCA approach or LDA approach while the FastICA approach leads to the best classification performance with the improvement of nearly 5% compared with the combination approach. 2009 Copyright SPIE - The International Society for Optical Engineering.
	Main changes in the new edition of the International Code of Botanical Nomenclature - the "Vienna Code" 期刊论文 OAI收割 ACTA PHYTOTAXONOMICA SINICA, 2007, 卷号: 45, 期号: 2, 页码: 251_255 Zhang, LB; Yang, QE; Turland, NJ; McNeill, J 收藏 \| 浏览/下载：33/0 \| 提交时间：2011/07/08 nomenclature Vienna Code main changes