期刊：
Information Technology Journal,2013年12(5):1004-1010 ISSN：1812-5638
通讯作者：
Li, J.-S.
作者机构：
[Wang, Jia-Jia; Hu, Sai-Chun; Li, Jia-Sheng; Xiao, Wei-Chu; Tian, Wang-Lan] College of Communication and Electronic Engineering, Hunan City University, Hunan Yiyang, 413000, China
通讯机构：
[Li, J.-S.] C;College of Communication and Electronic Engineering, Hunan City University, China
关键词：
Add-window interpolation;Harmonic and inter-harmonic;Small hydro
作者机构：
[Tian, Wanglan; Li, Mengxing] School of Communication and Electronic Engineering, Hunan City University, Yiyang 413000, China;[Huang, Longyang] Air Traffic Management College, Civil Aviation Flight University of China, Guanghan 618307, China
作者：
Liu, Hean;Kuang, Zhike;Zhang, Cizhen;Yilly, Goodson A.
期刊：
Journal of Networks,2013年8(12):2804-2811 ISSN：1796-2056
作者机构：
[Liu, Hean; Kuang, Zhike] School of Information Science and Engineering, Hunan City University, Yiyang Hunan 413000, China;[Yilly, Goodson A.] Nigerian Turkish Nile University, Abuja, Nigeria;[Zhang, Cizhen] Public Courses Department, Xiangnan University, Chenzhou Hunan 423000, China
作者机构：
[Tan Guan-zheng; Tan Yue] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China.;[Tan Yue; Deng Shu-guang] Hunan City Univ, Sch Commun & Elect Engn, Yiyang 413000, Peoples R China.
通讯机构：
[Tan Guan-zheng] C;Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China.
关键词：
particle swarm optimization;differential evolution;chaotic local search;reliability-redundancy allocation
摘要：
In order to solve reliability-redundancy allocation problems more effectively, a new hybrid algorithm named CDEPSO is proposed in this work, which combines particle swarm optimization (PSO) with differential evolution (DE) and a new chaotic local search. In the CDEPSO algorithm, DE provides its best solution to PSO if the best solution obtained by DE is better than that by PSO, while the best solution in the PSO is performed by chaotic local search. To investigate the performance of CDEPSO, four typical reliability-redundancy allocation problems were solved and the results indicate that the convergence speed and robustness of CDEPSO is better than those of PSO and CPSO (a hybrid algorithm which only combines PSO with chaotic local search). And, compared with the other six improved meta-heuristics, CDEPSO also exhibits more robust performance. In addition, a new performance was proposed to more fairly compare CDEPSO with the same six improved meta-heuristics, and CDEPSO algorithm is the best in solving these problems.
摘要：
The WiFi network is one of the most rapidly developing wireless communication networks, which makes wireless office and wireless life possible and greatly expands the application form and scope of the internet. At the same time, the WiFi network security has received wide attention, and this is also the key factor of WiFi network development. This paper makes a systematic introduction to the WiFi network and WiFi network security problems, and the WiFi network security technology are reviewed and compared. In order to solve the security problems in WiFi network, this paper presents a new WiFi network security model and the key exchange algorithm. Experiments are performed to test the performance of the model, the results show that the new security model can withstand external network attack and ensure stable and safe operation of WiFi network.
期刊：
Information Technology Journal,2013年12(11):2201-2206 ISSN：1812-5638
通讯作者：
Li, J.-S.
作者机构：
[Li, Jia-Sheng; Tian, Wang-Lan] College of Communication and Electronic Engineering, Hunan City University, Hunan Yiyang, 413000, China;[Wang, Ying-De] Department of Electronics and Communication Engineering, Changsha University, Hunan Changsha, 410003, China
通讯机构：
[Li, J.-S.] C;College of Communication and Electronic Engineering, Hunan City University, China
关键词：
Distributed generation;Genetic algorithm;RBF neural network;Singular value
作者机构：
[丁同浩; 李玉山; 蒋冬初; 路建民; 闫旭; 曲咏哲] Research Inst. of Electronic CAD, Xidian Univ., Xi'an 710071, China;[蒋冬初] School of Comm. and Electronic Eng., Hunan City Univ., Yiyang 413000, China
通讯机构：
Research Inst. of Electronic CAD, Xidian Univ., China
期刊：
Applied Mechanics and Materials,2013年416-417:1187-1191 ISSN：1662-7482
通讯作者：
Hean, L.
作者机构：
[Shen, Hao] Institute of Computer and Communication, Hunan University of Technology, Hunan Zhuzhou 412007, China;[Liu, Hean] School of Information Science and Engineering, Hunan City University, Yiyang, Hunan 413000, China
期刊：
International Journal of Applied Mathematics & Statistics,2013年51(22):333-342 ISSN：0973-1377
作者机构：
[Xiao, Weichu] College of Communication and Electronic Engineering, Hunan City University, Yiyang 413002, Hunan, China;[Chen, Weihong] College of Information Science and Engineering, Hunan City University, Yiyang 413002 Hunan, China
关键词：
Adaptive color image;Brightness;Color threshold;Contrast;Image segmentation
期刊：
Lecture Notes in Electrical Engineering,2013年208(1):769-774 ISSN：1876-1100
通讯作者：
Tao, L.
作者机构：
[Zhang, Tao; Tao, Lixin] Institute of Computer and Communication, Hunan University of Technology, Zhuzhou 412007 Hunan, China;[Zhong, Ning; Wu, Shuguang] Modern Education Technology Center, Hunan University of Technology, Zhuzhou 412007 Hunan, China;[Liu, Hean] Network Information Center, Hunan City University, Yiyang 413000, China
摘要：
The issue of optimal placement of wireless sensor networks (WSNs) is one of the major challenges for dynamic monitoring of bridges. It should be solved based on combining the effective monitoring of the dynamic performance of a bridge with the energy consumption of WSNs. Thus, the relationship between the bridge modal and the energy consumption of wireless networks is derived. Optimizing sensor location is achieved by using the improved wavelet particle swarm algorithm, which overcomes the disadvantage of the conventional particle swarm algorithm by applying mutation operator to the selected particles with certain small probability. Based on the comparison between the ANSYS simulation results and the measured bridge data, as well as the energy distribution diagram of WSNs, the proposed method is shown to reflect the dynamic performance of the test bridge well. Moreover, the method effectively controls the energy consumption of WSNs and achieves reasonable optimization effects. Therefore, this method can be used for dynamic monitoring of wireless sensors in various bridge types.
作者机构：
[李玉山; 路建民; 蒋冬初; 曲永哲; 闫旭] Research Inst. of Electronic CAD, Xidian Univ., Xi'an 710071, China;[蒋冬初] School of Comm. and Electronic Eng., Hunan City Univ., Yiyang 413000, China
通讯机构：
Research Inst. of Electronic CAD, Xidian Univ., China
期刊：
Lecture Notes in Electrical Engineering,2013年208(1):781-787 ISSN：1876-1100
通讯作者：
Kuang, Z.(3270813@qq.com)
作者机构：
[Zhong, Ning; Wu, Shuguang] Modern Education Technology Center, Hunan University of Technology, Hunan Zhuzhou 412007, China;[Tao, Lixin] Institute of Computer and Communication, Hunan University of Technology, Zhuzhou 412007 Hunan, China;[Kuang, Zhike] Network Information Center, Hunan City University, Yiyang 413000, China
