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Two Classes of Linear Codes with Two or Three Weights 会议论文
8th International Workshop on Signal Design and Its Applications in Communications (IWSDA), SEP 24-28, 2017
作者:  Xu, Guangkui;  Cao, Xiwang;  Gao, Jian;  Luo, Gaojun
收藏  |  浏览/下载：15/0  |  提交时间：2019/12/31
Research on the method of feature extraction based on ARM platform 会议论文
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON ADVANCED DESIGN AND MANUFACTURING ENGINEERING, 2015-01-01
作者:  Zheng, Dezhi;  Wang, Kunming;  Cheng, Jialin;  Fan, Shangchun
收藏  |  浏览/下载：8/0  |  提交时间：2020/01/06
Determination of Stress Intensity Factor for Cracked Brazilian Disc Using Weight Function 会议论文
12th International Conference on Fracture and Damage Mechanics (FDM 2013), Sardinia, ITALY, 2013-09-17
作者:  Zhao Yanhua;  Liu Jin;  Gao Hongbo;  He Huanan;  Zhang Tao
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/09
Surface Interpolation to Image with Edge Preserving 会议论文
22nd International Conference on Pattern Recognition (ICPR), AUG 24-28, 2014
作者:  Zhang, Ling;  Zhang, Caiming;  Zhou, Yuanfeng;  Li, Xuemei
收藏  |  浏览/下载：6/0  |  提交时间：2019/12/31
Adaptive Firefly Optimization Algorithm Based On Stochastic Inertia Weight 会议论文
6th International Symposium on Computational Intelligence and Design (ISCID), Hangzhou, PEOPLES R CHINA, OCT 28-29, 2013
作者:  Liu, CN;  Tian, YF;  Zhang, Q;  Yuan, J;  Xue, BB
收藏  |  浏览/下载：4/0  |  提交时间：2017/01/18
An Optimization Design of the Weight of Cost Function in Stochastic Robustness Analysis and Design 会议论文
2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013-01-01
作者:  Wen Yongming;  Wu Sentang
收藏  |  浏览/下载：2/0  |  提交时间：2020/01/06
Research on Rural Highway Maintenance Quality Evaluation System Based on Triangle Whitenization Weight Function 会议论文
1st International Conference on Advances in Civil Infrastructure Engineering (ICACIE 2012), Changsha, PEOPLES R CHINA, SEP 15-16, 2012
作者:  Wang, Aijun*;  Qiao, Jianzheng
收藏  |  浏览/下载：1/0  |  提交时间：2019/12/28
Study on ultra-light secondary baffle for coaxial two-mirror telescope (EI CONFERENCE) 会议论文
2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012, August 5, 2012 - August 8, 2012, Chengdu, China
Zhang L.; Jia X.; Xie P.; Xing L.
收藏  |  浏览/下载：47/0  |  提交时间：2013/03/25
The coaxial two-mirror telescope consists of two mirrors facing each other. Classical two-mirror arrangements are Gregorian and Cassegrain. These systems are usually applied to space telescopes and often have optical baffles to prevent stray light from entering the focal plane. The optical baffles consist of concentric rings suspended between the secondary and the primary mirror. The secondary baffle for a large two-mirror optical system is designed and analyzed in this paper. According to mission of a telescope  the structure should have high stiffness and high reliability and light weight. Compared with invar  aluminum alloy and titanium alloy  carbon fiber composite is currently the best material in terms of weight-to-strength ratio. It also has advantages of high temperature tolerance and low thermal expansion. So carbon fiber composite is chosen as material to meet requirements of the coaxial telescope. In this paper  optimization method based on finite element analysis (FEA) is used for design the secondary baffle. Minimum weight of the baffle is chosen as an objective function. Thicknesses of former tube and vanes are chosen as variables. Analysis results show that the designed secondary baffle has maximum diameter of 180mm  total length of 120mm and weighs 142g. And its fundamental frequency reaches 651Hz. Therefore the baffle has many advantages  such as ultra-light weight  high stiffness and dimensional stability  etc. The optimization method and the baffle design can be helpful to other coaxial telescopes  such as Cassegrain  Gregorian and their subdivisions. 2012 IEEE.  
Classification of hyperspectral image based on SVM optimized by a new particle swarm optimization (EI CONFERENCE) 会议论文
2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China
Gao X.; Yu P.; Mao W.; Peng D.
收藏  |  浏览/下载：18/0  |  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.  
The Effect of Abscission of Insulation Lining of Electromagnetic Flowmeter on Output Signal 会议论文
VIBRATION, STRUCTURAL ENGINEERING AND MEASUREMENT II, PTS 1-3, 2012-10-19
作者:  Gao, Song[1];  Li, Bin[2];  Yin, Shi Yi[3];  Li, Xue Jing[4]
收藏  |  浏览/下载：2/0  |  提交时间：2019/04/30

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