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	Optical signal noise ratio increased by multiplexing algorithm for QSFP+ module (EI CONFERENCE) 会议论文 OAI收割 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, August 23, 2012 - August 25, 2012, Xi'an, China Yu H.-C.; Zheng X.-F.; Cheng P.; Yu W.-J. 收藏 \| 浏览/下载：43/0 \| 提交时间：2013/03/25 In order to increase OSNR (Optical Signal Noise Ratio Secondly Thirdly OSNR) of QSFP+ module the realization steps of the multiplexing algorithm is provided this algorithm is applied in QSFP+ module and the corresponding circuit of host board is designed and the experimental result shows that multiplexing algorithm is able to increase OSNR 2 dB. 2012 IEEE. a multiplexing algorithm is proposed. Firstly the development of optical module and the characteristics of QSFP+ module are illustrated
	Image registration based on Mexican-hat wavelets and pseudo-Zernike moments (EI CONFERENCE) 会议论文 OAI收割 2012 World Automation Congress, WAC 2012, June 24, 2012 - June 28, 2012, Puerto Vallarta, Mexico 作者: Liu Y.; Liu Y.; Liu Y. 收藏 \| 浏览/下载：37/0 \| 提交时间：2013/03/25 Image registration is a key technique in pattern recognition and image processing and it is widely used in many application areas such as computer vision remote sensing image fusion and object tracking. A method for image registration combining Mexican-hat wavelets and pseudo-Zernike moments is proposed. Firstly feature points are extracted using scale-interaction Mexican-hat wavelets in the reference image and sensed image respectively. Then pseudo-Zernike moments are used to match them and classical RANSAC used to eliminate the wrong matches. And then the well match points are used to estimate the best affine transform parameters by least squares minimization. At last the sensed image is transformed and resampled to accomplish the image registration. The experiments indicate that the proposed algorithm extracts feature points and matches them exactly and eliminates wrong matched points effectively and achieves nice registration results. 2012 TSI Press.
	Design of reimaging F/1.0 long-wavelength infrared optical system (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China 作者: Zhang X.; Zhang X.; Zhang X. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 A reimaging F/1.0 long-wavelength infrared optical system is proposed. The design has a flexible opto-mechanical layout. The design process is as follows. Firstly the catadioptric reimaging system consists of two reflecting mirrors and a relay lenses. Two reflecting mirrors make up of the first imaging system and are therefore free of chromatic aberrations while low dispersion lenses were used in the reimaging system so the optical system do not need achromatic design for a high image quality. Then to correct high-order aberrations resulting from large relative aperture more parameters need to be used with aspheric or diffractive surfaces due to modern optic technology development. Here aspheric is selected for easily manufacture. Finally the design is completed with the help of ZEMAX software. The effective focal length of the objective is 120mm and the field of view (FOV) is 4. The simulated final design shows adequate image quality and the modulation transfer function (MTF) is close to diffraction limit. The effect of the surrounding environmental temperature is analyzed using the concept of thermal defocusing and the thermal compensation is discussed. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
	Improved algorithm of LED display image based on composed correction (EI CONFERENCE) 会议论文 OAI收割 International Conference on Advances in Computer Science, Environment, Ecoinformatics, and Education, CSEE 2011, August 21, 2011 - August 22, 2011, Wuhan, China Song X.-J.; Ma X.-Q.; Liu W.-Y.; Zheng X.-F. 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/03/25 In order to enhance the display result of the LED display image an improved algorithm of LED display image based on composed correction is proposed. Firstly the correction principle and the development status of the current correction technologies of the LED display image is introduced and the two main correction technologies are analyzed. Secondly the theory of composed correction is proposed by constructing a mathematical model. Thirdly this algorithm is achieved in VHDL which is one of hardware description language and verified in an experimental platform. Experimental results show that this algorithm is able to enhance the display result of the LED display image significantly. 2011 Springer-Verlag Berlin Heidelberg.
	Pre-process technique study of a high performance remote image sensor structural Finite Element Analysis (EI CONFERENCE) 会议论文 OAI收割 2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010, April 16, 2010 - April 18, 2010, Chengdu, China 作者: Zhang L.; Xu Y.-S.; Zhang L. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 High precision structural Finite Element Analysis (FEA) results are required in the development of a remote image sensor. HperMesh and MSC. Nastran are employed in the image sensor structural FEA. This paper discusses some technical issues about the Finite Element (FE) modeling of the image sensor. In order to obtain authentic analysis results the part-to-whole handling schema i.e. handling method and research work is implemented in a small part of the model firstly and a revised method is used in the whole structural in succession has been proposed. Some emphasis is mainly put on the FE handling of bolted joint bearing and inter-element connection. The interface handling methods such as CBEAM plus partial MPC bolted joint model hybrid element bearing model and RBE3 beam-to-solid connection have been produced and successfully implemented in the image sensor structural FEA. 2010 IEEE.
	Intersectant multi-target serial number fuzzy match by multi-parameters (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang Y.-J. 收藏 \| 浏览/下载：156/0 \| 提交时间：2013/03/25 In order to match the intersectant targets' tab when these objects separate a kind of method that makes use of fuzzy multi-parameter to match targets is proposed. Multi-parameters include the forecasted position after targets separate target speed target size and geometry shape and different parameter corresponds to different influence coefficient evaluate the integrated matching coefficient that every observation target corresponds to forecasted target and the corresponding relationship that matching coefficient is the biggest is the best matching result. In order to locate the position and speed of forecasted target a new method of track forecast is proposed firstly Hough transform is used to the object's track before objects intersect by this the object's positions that the warp between forecasted location and observation location is large enough is eliminated then least square method is used for track forecast by the remainder valid positions and get hold of the forecasted position when objects separate. The experiment results show: when tracking the bulky objects which intersect and separate the right identification probability of traditional least square method is 87.5% and the right identification probability of fuzzy match by multi-parameters can attain 96% the reliability improves in evidence.
	An improved adaptive neural network method for control system (EI CONFERENCE) 会议论文 OAI收割 2006 International Conference on Machine Learning and Cybernetics, August 13, 2006 - August 16, 2006, Dalian, China Wang L.-M.; Xie M.-J.; Wu D.-Y. 收藏 \| 浏览/下载：16/0 \| 提交时间：2013/03/25 Classical methods for designing a controller depend on the accuracy of system model. However plant's models and other parts in a physical system can not accurately represent all possible dynamics. Thus the controller designed is usually not the optimal one. In this article a new simple adaptive control method which combines the classical frequency domain method with the neural network theory is proposed. Firstly we can obtain a controller using classical method. Secondly we use the coefficients in digitized controller equation as the initial values of an Adaline network. Finally LMS learning rules is used to adjust the weights adaptively. Experimental results show that this method is very effective in improving the performance of conventional controller. 2006 IEEE.