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	Dynamical stochastic resonance for nonuniform illumination image enhancement 期刊论文 OAI收割 IET Image Processing, 2018, 卷号: 12, 期号: 12, 页码: 2147-2152 作者: Zhang, Yongbin; Liu, Hongjun; Huang, Nan; Wang, Zhaolu \| 收藏 \| 浏览/下载：52/0 \| 提交时间：2018/12/18 Image Enhancement Image Fusion Stochastic Processes Iterative Methods Differential Equations Brightness Dynamical Stochastic Resonance Nonuniform Illumination Image Enhancement Dark Tones Low-contrast Image Enhancement Nonlinear Iteration Monostable Langevin Equation Iteration Parameters Intensity Distribution Visibility Balance Naturalness Balance Illumination Compensation Component Computational Time No-reference Perceptual Quality Assessment Lightness Order Error Low-computational Complexity
	Classification of hyperspectral image based on SVM optimized by a new particle swarm optimization (EI CONFERENCE) 会议论文 OAI收割 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China 作者: Gao X.; Yu P.; Yu P. 收藏 \| 浏览/下载：19/0 \| 提交时间：2013/03/25 Support Vector Machine (SVM) is used to classify hyperspectral remote sensing image in this paper. Radial Basis Function (RBF) which is most widely used is chosen as the kernel function of SVM. Selection of kernel function parameter is a pivotal factor which influences the performance of SVM. For this reason Particle Swarm Optimization (PSO) is provided to get a better result. In order to improve the optimization efficiency of kernel function parameter firstly larger steps of grid search method is used to find the appropriate rang of parameter. Since the PSO tends to be trapped into local optimal solutions a weight and mutation particle swam optimization algorithm was proposed in which the weight dynamically changes with a liner rule and the global best particle mutates per iteration to optimize the parameters of RBF-SVM. At last a 220-bands hyperspectral remote sensing image of AVIRIS is taken as an experiment which demonstrates that the method this paper proposed is an effective way to search the SVM parameters and is available in improving the performance of SVM classifiers. 2012 IEEE.
	Structure buckling reliability analysis of supercavitating projectile (EI CONFERENCE) 会议论文 OAI收割 2nd Annual Conference on Electrical and Control Engineering, ICECE 2011, September 16, 2011 - September 18, 2011, Yichang, China 作者: Zhou L. 收藏 \| 浏览/下载：12/0 \| 提交时间：2013/03/25 Because the underwater velocity of supercavitating projectile is very high its structure undergo high longitudinal force. It is necessary to perform structure buckling reliability analysis because the randomicity of structural own parameters and flow parameters should be considered. Critical buckling load of supercavitating projectile is calculated by Galerkin method. The partial matrixes of critical buckling load implicit function to each random variable are deduced and structural buckling reliability index is calculated by limit step length iteration method. Numerical results show that the critical buckling load and structural buckling reliability index increase with the increase of the ratio of base diameter to cavitator diameter. And structural buckling reliability index increase with the decrease of velocity coefficient. 2011 IEEE.
	On semi-convergence of parameterized Uzawa methods for singular saddle point problems 期刊论文 OAI收割 LINEAR ALGEBRA AND ITS APPLICATIONS, 2009, 卷号: 431, 期号: 5-7, 页码: 808-817 作者: Zheng, Bing; Bai, Zhong-Zhi; Yang, Xi \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2018/07/30 Saddle point problem Singular matrix Parameterized Uzawa method Semi-convergence Optimal iteration parameters Semi-convergence factor
	Optimization Inversion of Contaminant Transport Model Parameters in Unsaturated Soil 会议论文 OAI收割 Wuhan City, PEOPLES R CHINA, APR 24-26, 2009 作者: Liang Bing; Zhao Ying; Xue Qiang \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2018/06/05 contaminant transport model parameters optimization inversion least square method Newton iteration method
	Pull-In Instability Of Micro-Switch Actuators: Model Review 期刊论文 OAI收割 International Journal of Nonlinear Sciences and Numerical Simulation, 2008, 页码: 175-183 作者: Lin WH(林文惠); Zhao YP(赵亚溥) 收藏 \| 浏览/下载：966/62 \| 提交时间：2009/08/03 Pull-In Micro And Nano-Switches Error Estimation Theoretical Models Nanoscale Electrostatic Actuators Van-Der-Waals Variational Iteration Method Rf Mems Switches Torsional Actuators Microelectromechanical Systems Behavior Parameters Stability Forces