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	Study on dual peg-in-hole insertion using of constraints formed in the environment 期刊论文 OAI收割 INDUSTRIAL ROBOT-AN INTERNATIONAL JOURNAL, 2017, 卷号: 44, 期号: 6, 页码: 730-740 作者: Su, Jianhua; Li, Rui; Qiao, Hong; Xu, Jing; Ai, Qinglin \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2018/03/03 Attractive Region Peg-in-hole Sensor-less
	Design and simulation of CMOS star sensor lens with large relative aperture and wide field (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, August 12, 2011 - August 14, 2011, Harbin, China Zhong X.; Jin G. 收藏 \| 浏览/下载：60/0 \| 提交时间：2013/03/25 A 50mm focal length F/1.25 Gaussian type optical system is designed in this paper which has 20field of view. Actual star image adding optical cross-talk effect of CMOS(Complementary Metal Oxide Semiconductor) detector is simulated by non-sequential ray tracing in ZEMAX optical design and analysis software to evaluate its performance. The distortion relative to image spot centriod is introduced and calculated by simulated star images which is less than 0.03% of lens in this paper. Thermal adaptability is discussed by opt-mechanic thermal analysis which shows the RMS spot radius of marginal filed changes less than 0.7m under 10C temperature gradient and changes less than 1m during homogeneous temperature changing from 40C to 40C. The results of analyses and simulations show the design of this lens can achieve the requirement of high precision CMOS star sensor well. 2011 IEEE.
	A real-time two-dimensional correlation speed measurement based on image (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China 作者: Yu L. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 In order to implement two-dimensional moving object's non-contact and real-time speed measurement in this paper wc proposed a new method which was based on the characteristic of FPGA and a real-time two-dimensional correlation speed measurement was proposed on image processing using high speed CMOS shown in figure 1. Experimental installation was shown in figure 2 a cardboard with images which was fixed in electric control movement device was moving to simulate moving object the CMOS image sensor gathered image signals of the cardboard and the image signals was output to FPGA after a serials pretreatment such as binaryzation etc. Logical operation insteaded mathematical operation on FPGA to implement two frames image's cross-correlation operations as the formula (10) in this paper and finally calculate the two-dimensional velocity. Through experiment result of table 1 we drawn an conclusion the accurarcy of the method in this paper was less than 1 pixel and the method can be used at a certain speed ranges of two-dimensional real-time speed measurement. 2010 IEEE.
	Using bidirectional binary particle swarm optimization for feature selection in feature-level fusion recognition system (EI CONFERENCE) 会议论文 OAI收割 2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009, May 25, 2009 - May 27, 2009, Xi'an, China 作者: Wang D.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 In feature-level fusion recognition system the other is optimizing system sensor design to get outstanding cost performance. So feature selection become usually necessary to reduce dimensionality of the combination of multi-sensor features and improve system performance in system design. In general there are two main missions. One is improving the recognition correct rate as soon as possible the optimization is usually applied to feature selection because of its computational feasibility and validity. For further improving recognition accuracy and reducing selected feature dimensions this paper presents a more rational and accurate optimization Bidirectional Binary Particle Swarm Optimization (BBPSO) algorithm for feature selection in feature-level fusion target recognition system. In addition we introduce a new evaluating function as criterion function in BBPSO feature selection method. At the last we utilized Leave-One-Out method to validate the proposed method. The experiment results show that the proposed algorithm improves classification accuracy by two percentage points while the selected feature dimensions are less one dimension than original Particle Swarm Optimization approach with 16 original feature dimensions. 2009 IEEE.
	Design and analysis of large spaceborne light-weighted primary mirror and its support system (EI CONFERENCE) 会议论文 OAI收割 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies, AOMATT 2007: Large Mirrors and Telescopes, July 8, 2007 - July 12, 2007, Chengdu, China Yan Y.; Jin G.; Yang H.-B. 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/03/25 With the development of the resolution of spaceborne remote sensor the diameter of the primary mirror of spaceborne telescope becomes larger and larger. The distortion of primary mirror which is influenced by the mirror material structure self-weight support system and temperature environment affects optical image quality finally. In this paper an on-axis TMA high-resolution Cassegrain optical payload with a primary mirror whose diameter is 650mm was designed and the effects of the influence factors of the distortion acts on the on-axis TMA optical system primary mirror had been analyzed by means of Finite Element Analysis. During work the technology of the primary mirror design had been summarized and general consideration of the primary mirror design technology also had been described at the same time. Considering the telescope manufacture and work station a reasonable and optimal structure of the primary mirror sub-assembly is taken finally. In the end the distortion of the primary mirror during its fabrication station and work station had been analyzed by integrated Finite Element Analysis Method. The results implicated the synthesis profile error (P-V value) for the primary mirror is less than /10 and all the indexes of the primary mirror satisfy the requirements of the optical system.
	Active pixel sensor geometrical characteristic effects on star image subdivided locating accuracy for star tracker (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China 作者: Liu J.; Liu J.; Liu J.; Li J.; Li J. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 Active pixel sensor (APS) star tracker becomes an investigated hotspot because of its technical advantages. And centroid algorithm is a subpixel method proper to star position calculation because of its high accuracy and simplicity. When centroid algorithm is applied on APS star tracker APS pixel geometrical characteristics might effect on star image position accuracy. Because the amplifier circuit and other function circuits inter pixel of APS take up some pixel area the Fill Factor is less than 100%. Moreover the active sensitive area has a certain geometrical shape such as square rectangle and L shape. The Fill Factor of pixel influences on star image subdivided locating accuracy when using centioid algorithm. In this paper we have analyzed all pixel geometrical characteristics influence on the star position accuracy. From simulation experiments we can conclude that Fill factor and pixel geometric shape influence on star position accuracy. The star locating error increased when Fill Factor decreased and different geometrical shape of active sensitive area of pixel can make different influence on star location accuracy the symmetrical sensitive area in x or y axis have symmetrical location error in the same axis.