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	Pragmatic Implementation With Non-Gaussian Devices of Noise-Limited Weak Value Amplification 期刊论文 OAI收割 IEEE PHOTONICS JOURNAL, 2021, 卷号: 13, 期号: 2, 页码: 11 作者: Wu, Hao; Wu, Peng; Luo, Zheng-Chun; Xu, Li-Ping; Xie, Jia-Heng \| 收藏 \| 浏览/下载：31/0 \| 提交时间：2021/04/06 Phase measurement Wave functions Measurement uncertainty Couplings Sensitivity Light sources Frequency measurement Weak measurement phase estimation precision optimization
	Surface shape optimization for the space membrane reflector (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 作者: Zhang Y.; Zhang P. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 Space membrane reflector is very promised for optical quality application with the merits of ultra-lightweight and flexible. In order to improve the surface precision of membrane reflectors the formation and surface shape error of a membrane at uniform load are studied based on the henky-cambell equations of circular membrane. The ANSYS software is used to build an optimization model of membrane reflector surface shape in which the yield strength is the state variable the surface load on ten concentric annular regions of the mirror is the design variable and the minimum RMS between ideal surface and mirror surface is the target function. and the theoretical and experimental result show that RMS and PV of the optimized surfaces are reduced respectively than those before optimization. In a word this paper offers the theoretical and experimental basis of the polyimide membrane reflector. 2011 IEEE.
	The registration of aerial infrared and visible images (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Educational and Information Technology, ICEIT 2010, September 17, 2010 - September 19, 2010, Chongqing, China 作者: Liu J.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/03/25 In order to solve the registration problem of different source image existed on aerial image fusion algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed high accuracy and high reliability. Basically with little restriction of gray level properties a new alignment measure is applied which can efficiently measure the image registration extent and tolerate noise well. Even more the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that the study attains the registration accuracy of pixel level and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms and the registration result has higher accuracy and stability which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect and is easy for application and very suitable for engineering use. 2010 IEEE.
	Design and realization of hybrid ACO-based PID and LuGre friction compensation controller for three degree-of-freedom high precision flight simulator 期刊论文 OAI收割 Simulation Modelling Practice and Theory, 2009, 卷号: 17, 期号: 6, 页码: 1160-1169 Duan, H. B.; Liu, S. Q.; Wang, D. B.; 于秀芬收藏 \| 浏览/下载：43/0 \| 提交时间：2014/05/04 Ant Colony Optimization (ACO) Proportional-Integral-Derivative (PID) LuGre friction Three degree-of-freedom (3-DOF) High precision flight simulator Modularization Industrial Personal Computer (IPC)
	Measuring system on 3-D pose of the remote revolving target based on intersection measurment and its precision analysis (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Li Q.-A.; Li X.-R.; Liang C.-P.; Qiao Y.-F. 收藏 \| 浏览/下载：13/0 \| 提交时间：2013/03/25 In this paper a method of measuring the 3-D pose of the remote revolving target such as rocket or missile by using the intersected measuring system with a proper algorithm is described. This passage creates a math model of intersected measuring system with dual - photoelectric theodolite and the formula to calculate the target attitude angles are presented.The measuring precision of this method is analyzed in detail by using the relative error theory and then it makes optimization design for structure parameters of intersected measuring system with dual - photoelectric theodolite by computer simulation so different optimization results according to different location of target are obtained and the system lay-out measuring principles are also presented. By using this method we may acquire the measuring precision higher than 0.5 if the measuring stations are arranged correctly.
	Study on color model conversion for camera with neural network based on the combination between second general revolving combination design and genetic algorithm (EI CONFERENCE) 会议论文 OAI收割 ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China 作者: Li Z.; Zhou F.; Wang C.; Li Z. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 Munsell color system is selected to establish the mutual conversion between RGB and Lab* color model for camera. The color luminance meter and CCD camera synchronously measure the same color card XYZ value is gotten from the color luminance meter the training error is 0.000748566 it can show that the method combining second general revolving combination design with genetic algorithm can optimize the hidden-layer structure of neural network. Using the data of testing set to test this network and calculating the color difference between forecast value and true value the color picture captured from CCD camera is expressed for RGB value as the input of neural network and the Lab* value converted from XYZ value is regarded as the real color value of target card which the difference is not obvious comparing with forecast result the maximum is 5.6357 NBS namely the output of neural network. The neural network of two hidden-layers is considered the minimum is 0.5311 NBS so the second general revolving combination design is introduced into optimizing the structure of neural network and the average of color difference is 3.1744 NBS. which can carry optimization through unifying project design data processing and the precision of regression equation. Their mathematics model of encoding space is gained and the significance inspection shows the confidence degree of regression equation is 99%. The mathematics model is optimized by genetic algorithm optimization solution is gotten and function value of the goal is 0.0007168. The neural network of the optimization solution is trained