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	Research on esplanade-cleaning robot’s target recognition 会议论文 OAI收割 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, Inner Mongolia, China, JUL 15-17, 2011 作者: Fan YY(范有余); Liu Y; Liu Y; Liu Y; Liu Y 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/02/26 Algorithms Cleaning Least squares approximations Mechanics Cleaning-robots Distance measuring Least square methods Target recognition Tricolor characteristics
	Research on esplanade-cleaning robot's target recognition 会议论文 OAI收割 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, Inner Mongolia, China, July 15, 2011 - July 17, 2011 作者: Li JH; Liu Y; Fan YY(范有余) 收藏 \| 浏览/下载：19/0 \| 提交时间：2017/06/20 Cleaning-robots Distance measuring Least square methods Target recognition Tricolor characteristics
	Study on the calculation and application for asphericity of rectangle off-axis aspherics (EI CONFERENCE) 会议论文 OAI收割 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, November 19, 2008 - November 21, 2008, Chengdu, China 作者: Xuan B.; Song S.-M.; Xie J.-J.; Xie J.-J.; Zhang H. 收藏 \| 浏览/下载：70/0 \| 提交时间：2013/03/25 Asphericity which affects the manufacturing process and the grinding quantity is an important parameter of optical aspherics. In this paper the approximation the least square fitting wavefront aberration sag methods are given for the calculation of optical asphericity. The effects of different definitions of optical asphericity are analysed to optimize the process of manufacture. A sag method is presented to solve the best-fit sphere and asphericity for an off-aixs aspheric mirror with a rectangle aperture of 180mm145mm and polishing quantity and distribution plots are given. The optical manufacturing and testing technology for different choices of best-fit spheres and asphericity are described and analyzed. Therefore proper definition of optical asphericity which is useful to manufacturing is very important for optical fabrication and test. 2009 SPIE.
	The study on the near infrared spectrum technology of sauce component analysis (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Li S.; Wang C.; Chen X.; Chen X.; Chen X. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 The author Shangyu Li engages in supervising and inspecting the quality of products. In soy sauce manufacturing quality control of intermediate and final products by many components such as total nitrogen saltless soluble solids nitrogen of amino acids and total acid is demanded. Wet chemistry analytical methods need much labor and time for these analyses. In order to compensate for this problem we used near infrared spectroscopy technology to measure the chemical-composition of soy sauce. In the course of the work a certain amount of soy sauce was collected and was analyzed by wet chemistry analytical methods. The soy sauce was scanned by two kinds of the spectrometer the Fourier Transform near infrared spectrometer (FT-NIR spectrometer) and the filter near infrared spectroscopy analyzer. The near infrared spectroscopy of soy sauce was calibrated with the components of wet chemistry methods by partial least squares regression and stepwise multiple linear regression. The contents of saltless soluble solids total nitrogen total acid and nitrogen of amino acids were predicted by cross validation. The results are compared with the wet chemistry analytical methods. The correlation coefficient and root-mean-square error of prediction (RMSEP) in the better prediction run were found to be 0.961 and 0.206 for total nitrogen 0.913 and 1.215 for saltless soluble solids 0.855 and 0.199 nitrogen of amino acids 0.966 and 0.231 for total acid respectively. The results presented here demonstrate that the NIR spectroscopy technology is promising for fast and reliable determination of major components of soy sauce.