期刊：
Advances in Information Sciences and Services,2012年4(23):575-582 ISSN：1976-3700
通讯作者：
Yang, G.(yanggelan@126.com)
作者机构：
[Jin, Hui] College of Automobile and Transportation Engineering, Liaoning University of Technology, Jinzhou, 121001, China;[Yang, Gelan] School of Information Science and Engineering, Hunan City University, Yiyang, 413000, China
通讯机构：
[Yang, G.] S;School of Information Science and Engineering, , Yiyang, 413000, China
摘要：
The paper describe a simulated annealing approach for solving the buffer allocation the problem of optimizing cyclic schedules in polyester staple fiber production lines. The problem entails the determination of the sequence of products in large production lines with the objective of minimizing sum of costs for changeover and holding inventory. The problem concerns the planning and scheduling of a production of two sequence of stages each involving one production line that are interconnected by storage buckets. A mixed-integer programming (MILP) model for cyclic schedules in polyester staple fiber plants is formulated according to traveling salesman problem (TSP). The MILP formulation was applied to a real-world manufacturing facility producing seven final products and solved by a Simulated Annealing algorithm. The computational results are compared to manual in the plant and verified the effectiveness and applicability of the proposed methods.
期刊：
International Journal of Advancements in Computing Technology,2011年3(10):266-273 ISSN：2005-8039
通讯作者：
Yang, G.(glyang@mail.ustc.edu.cn)
作者机构：
[He, Qian; Yang, Gelan] Department of Computer Science, Hunan City University, Yiyang, 413000, China;[Deng, Xiaojun] College of Computer and Communication, Hunan University of Technology, Zhuzhou, 412008, China;[He, Qian] College of Mathematics and Econometric, Hunan University, Changsha, 410000, China
通讯机构：
[Yang, G.] D;Department of Computer Science, , Yiyang, 413000, China
关键词：
Data analysis;Image manifolds;Manifold learning
摘要：
Data correspondences and data matching are important tasks of high-dimensional data analysis. In this paper, we discuss a family of semi-supervised learning algorithms for studying different manifold data sets corresponding. The algorithm improves local embedding or density models by elevating their status to full global dimensionality reduction without requiring any modification to their training procedures or cost functions. By using self correspondence between examples in the same data set, the method can improve the performance of these data sets with limited numbers of examples. The effectiveness of the presented schemes is validated by applying it to the problems of coil20 sequence alignment. The curse of dimensionality in these problems is overcome by exploiting the low dimensional structure of image manifolds.
期刊：
Lecture Notes in Electrical Engineering,2011年87 LNEE(VOL. 2):603-610 ISSN：1876-1100
通讯作者：
Jin, H.(Jinhuixia1980@163.com)
作者机构：
[Jin, Huixia] Department of Physics and Telecom Engineering, Hunan City University, Yiyang, China;[Yang, Gelan] Department of Computer Science, Hunan City University, Yiyang, China;[Tang, Jun] Department of Information Engineering, Hunan Urban Construction College, Xiangtan, China
期刊：
Lecture Notes in Electrical Engineering,2011年87 LNEE(VOL. 2):311-317 ISSN：1876-1100
通讯作者：
Deng, X.(little_army@139.com)
作者机构：
[Deng, Xiaojun; Wen, Zhiqiang; Zhang, Tao; Deng, Bing] College of Computer and Communication, Hunan University of Technology, Zhuzhou, China;[Yang, Gelan] Department of Computer Science, Hunan City University, Yiyang, China
期刊：
The Journal of Information and Computational Science,2010年7(13):2681-2688 ISSN：1548-7741
通讯作者：
Yang, G.(glyang@mail.ustc.edu.cn)
作者机构：
[Yang, Gelan] Department of Computer Science, Hunan City University, Yiyang 413000, China;[Yang, Gang] Department of Power and Energy Systems, Ecole Supé,rieur d'Electricit(Supé,lec), Gif-sur-Yvette Cedex, France;[Jin, Huixia] Department of Physics and Telecom Engineering, Hunan City University, Yiyang 413000, China
通讯机构：
Department of Computer Science, Hunan City University, China
期刊：
The Journal of Information and Computational Science,2010年7(13):2739-2748 ISSN：1548-7741
通讯作者：
Jin, H.(jinhuixia1980@163.com)
作者机构：
[Jin, Huixia] Department of Physics and Telecommunication Engineering, Hunan City University, Yiyang, 413000, China;[Yang, Gelan] Department of Computer Science, Hunan City University, Yiyang, 413000, China
通讯机构：
Department of Physics and Telecommunication Engineering, Hunan City University, China
关键词：
Clonal selection algorithm;Genetic algorithm;Information retrieval;Parallel genetic immune clonal algorithm;Vector space model
期刊：
The Journal of Information and Computational Science,2009年6(2):837-844 ISSN：1548-7741
通讯作者：
Shu, W.(shuwanneng@yahoo.com.cn)
作者机构：
[Jin, Huixia; Yang, Gelan] Department of Computer Science, Hunan City University, Yiyang, Hunan, 413000, China;[Shu, Wanneng] College of Computer Science, South-Central University for Nationalities, Wuhan 430074, China;[Wang, Yuanzhi] School of Computer and Information, Anqing Normal College, Anqing 246011, China
通讯机构：
College of Computer Science, South-Central University for Nationalities, China
关键词：
Clonal Selection;Genetic Algorithm;Information Retrieval;Vector Space Model
期刊：
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9,2009年:2660-2663
通讯作者：
Yang, Gelan
作者机构：
[Yang, Gelan] Hunan City Univ, Dept Comp Sci, Yiyang, Peoples R China.;[Jin, Huixia] Hunan City Univ, Dept Phys & Telecom Engn, Yiyang, Peoples R China.;[Xu, Xue] Univ Sci & Technol China, Dept Automat, Hefei, Peoples R China.
通讯机构：
[Yang, Gelan] H;Hunan City Univ, Dept Comp Sci, Yiyang, Peoples R China.
关键词：
local tangent space alignment;semi-supervise learning;local block coordinate;manifold regression
摘要：
In many practical machine learning and data mining applications, unlabeled training examples are readily available but labeled ones are fairly expensive to obtain. Therefore, semi-supervised learning algorithms have attracted much attention. In this paper, semi-supervised regression via local block coordinate algorithm is proposed. This algorithm preserves more geometrical knowledge of the high-dimensional data by local tangent space alignment, we take the method of automatic alignment of local representations to realize preserving the linear projection between every local coordinate and the global coordinate. Experiments show that method can effectively exploit unlabeled data to improve regression estimates.
期刊：
SECOND INTERNATIONAL CONFERENCE ON COMPUTER AND ELECTRICAL ENGINEERING, VOL 2, PROCEEDINGS,2009年:109-111
通讯作者：
Zhou Cuihong
作者机构：
[Yang Gelan; Zhou Cuihong] Hunan City Univ, Dept Comp Sci, Yiyang 413000, Hunan, Peoples R China.
通讯机构：
[Zhou Cuihong] H;Hunan City Univ, Dept Comp Sci, Yiyang 413000, Hunan, Peoples R China.
关键词：
locally linear embedding;face recognition;manifold learning
摘要：
Image data taken with various capturing devices are usually multidimensional and therefore they are not very suitable for accurate classification normally expecting to operate only on a small set of relevant features. Locally Linear Embedding is an effective nonlinear dimensionality reduction method for exploring the intrinsic characteristics of high dimensional data. In this paper, novel Local linear embedding for face classification is proposed. We modify the LIE algorithm by preserving more geometrical knowledge of the high-dimensional data, then combining with simple classifiers such as the nearest mean classifier. Experimental simulations are shown to yield remarkably good classification results in high dimension face image sequence.
期刊：
Proceedings of the 2008 International Conference on Computer and Electrical Engineering, ICCEE 2008,2008年:296-299
通讯作者：
Jin, Huixia
作者机构：
[Jin, Huixia] Hunan City Univ, Dept Phys & Telecom Engn, Yiyang 413008, Peoples R China.;[Yang, Gelan; Tu, Li] Hunan City Univ, Dept Comp Sci, Yiyang 413008, Peoples R China.;[Yang, Yatao] Beijing Elect Sci & Technol Inst, Beijing 100070, Peoples R China.
通讯机构：
[Jin, Huixia] H;Hunan City Univ, Dept Phys & Telecom Engn, Yiyang 413008, Peoples R China.
摘要：
The mutual authentication mechanism in the IEEE802.16e can avoid the man-in-middle attack, and can protect the multi-hop WiMax security in efficiency. An improved X.509 certificate based on ECC algorithm is designed, then an enhanced mutual authentication flow was proposed in this paper, which enhances the security and working efficiency of the mutual authentication in multi-hop WiMax system. The proposed scheme heightens the security and practicability of WiMax system, which has better referenced value to the improvement of IEEE 802.16e standards.
