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Fairness resource allocation and scheduling for IEEE 802.16 mesh networks

Journal of Networks 2010年第6期5卷 724-731页

作者： Peng, Limin Cao, Zhanmao Computer application teaching and research department Guangzhou Sport University Guangzhou 510500 China School of Computer Science and Engineering South China University of Technology Guangzhou 510641 China

The IEEE 802.16 standard provides a scheme for creating multi-hop relay networks, which can be deployed as a high speed wide area wireless network at low cost. Although the standard defines signaling mechanisms in mesh mode, however, it doesn't specify wireless resource management in the protocol. In this paper, we address the problem of resource allocation with the goal of providing fairness access to wireless channel for all the nodes as well as high network throughput in IEEE 802.16 mesh networks. We first define node's unsatisfactory index and throughput function. Then, a multi-objective programming formulation is proposed for optimizing network performance. Accordingly, a dynamic programming based resource allocation and scheduling algorithm is presented to provide an optimal resource allocation to achieve fairness among different nodes as well as high network throughput in IEEE 802.16 mesh networks. Simulation results show that our proposed algorithm significantly provides both fairness of channel access and optimal network throughput. © 2010 ACADEMY PUBLISHER.

关键词： Resource allocation

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Reference point estimation in fingerprint image

Reference point estimation in fingerprint image

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IEEE International Conference on Computational Intelligence and Computing Research

作者： C. Z. Geevar P. Sojan Lal Department of Computer Application MGM''s College of Engineering and Technology Kuttippuram India School of Computer Science Mahatma Gandhi University Kottayam India

Due to different imaging conditions, a fingerprint image may suffer from problems like translation, rotation, scaling and elastic distortion. A fingerprint recognition algorithm should address these problems for efficiency. One solution is to uniquely detect a reference point and align the fingerprint image based on the detected reference point. Accurate estimation of reference point is one of the major challenges in an automatic fingerprint recognition system. This paper presents a novel method to estimate a reference point for all types of fingerprints by tracing the chain coded contour of a fingerprint image. Chain codes are used to represent an image contour by a connected sequence of straight line segments of specified length and direction. The algorithm identifies the unique reference point as the point of maximum curvature changes in the fingerprint convex ridges. Experimental results show that our proposed algorithm can uniquely estimate a reference point for all types of fingerprints.

关键词： Fingerprint recognition Image matching Pixel Estimation Shape Labeling Turning

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Sparse kernel principal angles for online process monitoring

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Journal of Computational Information Systems 2010年第5期6卷 1601-1608页

作者： Gan, Liangzhi Liu, Haikuan Shen, Xinfa School of Electrical Engineering and Automation Xuzhou normal University Xuzhou 221116 China Institute of Computer Application Technology College of Computer Science Hangzhou Dianzi University Hangzhou 310027 China

In this paper, a nonlinear process monitoring technique based on sparse kernel principal angle (SKPA) is proposed. Kernel method can efficiently solve nonlinear problem in high-dimensional feature spaces with nonlinear kernel functions, but can also lead to over learning. We derive a new SKPA to overcome the shortcoming. The basic idea of SKPA is to first map the input space into a Reproduced Hilbert Feature Space via nonlinear mapping and then to compute the basis or approximate basis of the feature space. The basis or approximate basis can represent all the samples by the way of linear combination. Then one can compute the principal angles in that feature space. By this way, the principal angles can be represented by the basis or approximate basis, so the solution is sparse. This is the reason that we call it SKPA. According to Vapnik's theory, SKPA can get better generalization. In comparison to common nonlinear kernel principal angles techniques, SKPA requires only the solution of an eigenvalue problem and does not entail any nonlinear optimization. In addition, the number of principal components need not be specified prior to modeling. In this paper, SKPA was applied to fault detection in one example system: the simulation benchmark of the Tennessee Eastman process. The proposed approach effectively captured the nonlinear relationship in the process variables in much simpler way compared to common KPA. Copyright © 2010 Binary Information Press May, 2010.

关键词： Fault detection

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Robust incremental LMS over wireless sensor network in impulsive noise

Robust incremental LMS over wireless sensor network in impul...

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2010 International Conference on Computational Intelligence and Communication Networks, CICN 2010

作者： Panigrahi, T. Panda, G. Mulgrew, B. Majhi, Babita Department of Electronics and Communication Engineering National Institute of Technology Rourkela 769008 India School of Electrical Science Indian Institute of Technology Bhubaneswar 713002 India Institute for Digital Communication Unversity of Edinburgh United Kingdom Department of Computer Application SOA Unversity Bhubaneswar India

ISBN: (纸本)9780769542546

Distributed wireless sensor networks have been proposed as a solution to environment sensing, target tracking, data collection and others. Energy efficiency, high estimation accuracy, and fast convergence are important goals in distributed estimation algorithms forWSN. This paper studies the problem of robust adaptive estimation in impulsive noise environment using robust cost function like Wilcoxon norm and error saturation nonlinearity. The incremental cooperative scheme conventionally used in sensor network in which each node have local computing ability and share them with their predefined neighbors, is not robust to impulsive type of noise or outliers. In this paper the robust norm is introduced in incremental cooperative distributed network to estimate the desired parameters in presence of Gaussian contaminated impulsive noise. © 2010 IEEE.

关键词： Impulse noise

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New Approach to Path Explosion Problem of Symbolic Execution

New Approach to Path Explosion Problem of Symbolic Execution

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International Conference on Pervasive Computing Signal Processing and applications (PCSPA)

作者： Xu Xiao Xiao-song Zhang Xiong-da Li School of Computer Science & Engineering University of Electronic Science and Technology Chengdu China Chengdu Informationization Technique Application Development Center Chengdu China

This paper is dedicated to the study of Symbolic Execution and improves the core algorithm of it using Heuristic learning, search and Function Abstraction to effectively address the path explosion problem, which will trigger the vulnerabilities that the traditional method can not find and improve the efficiency, precision and accuracy of software vulnerability discovery.

关键词： Software Explosions Algorithm design and analysis Heuristic algorithms Software algorithms Security Testing

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An approach to extracting building objects in natural images

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of science and Technology (Natural science Edition) 2010年第8期38卷 38-41页

作者： Li, Lingling Jin, Taisong Li, Cuihua Li, Yuan Department of Computer Science and Application Zhengzhou Institute of Aeronautical Industry Management Zhengzhou 450015 China School of Information Science and Technology Xiamen University Xiamen 361005 China School of Architecture and Civil Engineering Xiamen University Xiamen 361005 China

A new approach to extract building objects was proposed. Firstly, rival penalized competitive learning(RPCL) algorithm was used to improve segmentation granularity of super-pixel algorithm based on graph theory;Secondly, the spatial envelope was used to classify the image patches using support vector machine (SVM) classifier, and distinguish building and non-building category in the image;Finally, building hypothesis in the image was verified based on structure of the building category. The experiments show on standard dataset that the proposed algorithm outperforms other similar algorithms on building extraction, and also meet the real-time requirements in general application.

关键词： Buildings

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Novel algorithm of label placement in digital map based on grid

Novel algorithm of label placement in digital map based on g...

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International Conference on Communication System Networks and applications (ICCSNA)

作者： Shao Xiao-yan He Lei Peng Xuan Department of Computer Science and Application Zhengzhou Institute of Aeronautical Industry Management Zhengzhou China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou China Information and Engineering University Zhengzhou China

Label placement is very important when we display the electronic map. It will affect the beauty of electronic map. Furthermore, in order to display label placement in real-time, the computational complexity can not be too high. A novel algorithm of label placement is expounded based on the thinking of grid. It first divides the screen simply, then those three objects of points, arcs and polygons will be dealt with. The label configuration is reasonable, and does not result in any overlap. The experimental result indicates this algorithm is simple and effective. It can meet the demand of high quality map dynamic label placement and is successfully applied in commercial GIS.

关键词： Complexity theory Roads Industries

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Leaf Vein Extraction Using a Combined Operation of Mathematical Morphology

Leaf Vein Extraction Using a Combined Operation of Mathemati...

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International Conference on Information engineering and computer science (ICIECS)

作者： Xiaodong Zheng Xiaojie Wang Department of Computer Science and Application Zhengzhou Institute of Aeronautical Industry Management Zhengzhou China School of Mechanical Engineering University of Zhengzhou Zhengzhou China

The type of the leaf vein can be a useful parameter in automatic identification of plant species. Leaf vein extraction is the precondition of discriminating the leaf vein type. In this paper a new method is presented for leaf vein extraction based on mathematical morphology. Firstly, the color image of the plant leaf is transformed to gray image according to the hue and intensity information. Secondly, a combined operation of mathematical morphology is applied to the image to eliminate the color overlap between the whole leaf vein and the whole background. Thirdly, image segmentation is performed with OSTU method. Finally, the leaf vein can be got after some processing on details. Experiments have been conducted with several images and the results show the effectiveness of the method. The basic idea of the method is also applicable to other linear objects extraction.

关键词： Veins Morphology Image color analysis Image segmentation Noise Feature extraction Surface morphology

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Research of education evaluation information mining technology based on analytical hierarchy process (AHP) and Genetic Algorithm (GA)

Research of education evaluation information mining technolo...

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International Conference on Advanced computer Theory and engineering, ICACTE

作者： Junle Yu Baoshan Sun College of Application Technology Tianjin Professional University Tianjin China School of Computer Science and Software Engineering Tianjin Professional University Tianjin China

ISBN: (纸本)9781424465392

This paper has surveyed the education evaluation method and technology both at home and abroad, and studied on the question of education evaluation information's mining. In view of the evaluation index system of high and secondary vocational education, on the basis of AHP method it has improved the deficiency of AHP's quantitative analysis. The modified Genetic Algorithm method is used to constructed the data mining model on the basis of AHP method. This paper has taken a scientific quantitative analysis on the evaluation model's weight, and provided a vastitude future of education evaluation index system's quantification.

关键词： Education Genetics Biological system modeling

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Using an integrated feature set to generalize and justify the Chinese-to-English transferring rule of the 'ZHE' aspect

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Journal of Zhejiang University-science C(computers and Electronics) 2010年第9期11卷 663-676页

作者： Yun-hua QU Tian-jiong TAO Serge SHAROFF Narisong JIN Ruo-yuan GAO Nan ZHANG Yu-ting YANG Cheng-zhi XU School of International Studies Zhejiang University Hangzhou 310058 China Institute of Fluid Physics China Academy of Engineering Physics Mianyang 621900 China Center for Translation Studies University of Leeds Leeds LS2 9JT UK Center for Applied Linguistics Hangzhou Normal University Hangzhou 310012 China School of Computer Science and Technology Zhejiang University Hangzhou 310027 China Sensor Network and Application Research Center Graduate School Chinese Academy of Sciences Beijing 100049 China School of Economics Zhejiang University Hangzhou 310027 China Zhejiang University City College Hangzhou 310015 China

In machine translation(MT) practice,there is an urgent need for constructing a set of Chinese-to-English aspect transferring rules to define the transferring *** integrated feature set was used to generalize and justify the Chinese-to-English transferring rule of the 'ZHE' aspect(ZHE Rule).A ZHE classification model was built in this *** impacts of each set of temporal,lexical aspectual,and syntactic features,and their integrated impacts,on the accuracy of the ZHE Rule were *** 600 misclassified corpus sentences were manually examined.A 10-fold cross-validation was used with a decision tree *** main results are:(1) The ZHE Rule was generalized and justified to have a higher accuracy under the two metrics:the precision rate and the areas under the receiver operating characteristic curve(AUC).(2) The temporal,lexical aspectual,and syntactic feature sets have an integrated contribution to the accuracy of the ZHE *** syntactic and temporal features have an impact on ZHE aspect derivations,while the lexical aspectual features are not predictive of ZHE aspect derivation.(3) While associated with active verbs,the ZHE aspect can denote a perfective *** study suggests that the temporal and syntactic features are the predictive ZHE aspect classification features and that the ZHE Rule with an overall precision rate of 80.1% is accurate enough to be further explored in MT *** machine learning method,decision tree,can be applied to the automatic aspect transferring in MT research and aspectual interpretations in linguistic research.

关键词： ZHE aspect transferring rule(ZHE Rule) Machine learning Decision tree Aspect classification Integrated feature set

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