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IEEE International Symposium on computer Network and Multimedia technology, CNMT

作者： Limin Peng Suyun Sun School of Computer Science and Engineering South China University of Technology Guangzhou China Department of Computer Engineering Guangdong Industry Technical College Guangzhou China

In order to improve network coverage and throughput at low cost, a mesh mode is defined in IEEE 802.16 standard recently. Although the standard defines the multiple access signaling mechanisms, it doesn't specify resource allocation issue. In this paper, we address the problem of resource allocation with the goal of achieving optimization network throughput in WiMax mesh networks. We first establish mathematical formulation for this problem that takes into account spatial reuse so that system's gain is maximized. Then, a dynamic programming based link scheduling algorithm is presented to provide an optimal resource allocation for achieving maximal network throughput in WiMax mesh networks. Simulation results show that our proposed algorithm significantly improves the performance of the WiMax mesh networks in terms of link scheduling.

关键词： Dynamic programming Dynamic scheduling WiMAX Mesh networks Resource management Scheduling algorithm Throughput Job shop scheduling Routing Telecommunication traffic

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A new algorithm of infrared image enhancement based on rough sets and curvelet transform

A new algorithm of infrared image enhancement based on rough...

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International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

作者： Jian-Hui Tan Ao-Chang pan Jian Liang Yong-Hui Huang Xiao-yan Fan Jan-Jia Pan Faculty of Information Engineering Guangdong University of Technology Guangzhou China Department of Computer Science Yangjiang Vocational and Technical College Yangjiang China Guangdong University of Technology Guangzhou Guangdong CN Hong Kong Baptist University Kowloon HK HK

Infrared image enhancement is a research focus as well as one of the difficulties in the field of information processing. Rough sets theory is a new mathematical tool to solve the issue of ambiguity and uncertainty. Curvelet transform develops from wavelet transform and has noticeable effect in denoising and signal enhancing. Based on the features of infrared image and human visual properties and combined the rough sets theory and curvelet transform, this paper has put forward a new algorithm to enhance the weak infrared image. Based on human visual properties and noise conditional properties, this algorithm first partitions an infrared image into different sub-images in accordance with two properties: pixel gradient value and noise. Then enhance the sub-images via curvelet transforming. Experiments results have shown that this new algorithm can achieve good enhancing effect and can meet the actual needs of infrared image enhancement.

关键词： Infrared imaging Image enhancement Rough sets Partitioning algorithms Wavelet transforms Humans Focusing Information processing Uncertainty Noise reduction

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Fault Diagnosis Model of Rotating Machinery Based on Artificial Immunity and Its Application

Fault Diagnosis Model of Rotating Machinery Based on Artific...

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International Workshop on Intelligent Systems and Applications, ISA

作者： Jian Cen Qing-Hua Zhang Bu-Gong Xu Ting-Yu Gao Hong-Fang Li College of Automation Science and Engineering South China University of Technology Guangzhou China College of Automation GuangDong Polytechnic Normal University Guangzhou China College of Electronic Information and Computer Maoming University Maoming China

Based on artificial immunity, this paper combines the artificial immune principle and non-dimensional parameters to put forward a rotating machinery fault diagnosis model and algorithm. The algorithm can be used to train the detectors with the unique character of the fault one by one mapping, the trained detector can be applied to a single and complex fault diagnosis; Using the dimensionless parameter relationship of complex fault and single fault, a complex fault diagnosis method has been obtained. The effectiveness of the method has been shown by simulation results.

关键词： Fault diagnosis Machinery Immune system Fault detection Detectors Binary codes Educational institutions Time domain analysis Artificial immune systems Biological system modeling

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Electrochemical preparation of nanostructured TiO2 as anode materials for Li ion batteries

Electrochemical preparation of nanostructured TiO2 as anode ...

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2008 MRS Fall Meeting

作者： Duan, Huanan Chen, Xiangping Gnanaraj, Joe Liang, Jianyu Department of Mechanical Engineering Worcester Polytechnic Institute 100 Institute Rd. Worcester MA 01609 United States College of Material Science and Technology South China University of Technology Guangzhou Guangdong 510644 China Yardney Technical Products Inc. 82 Mechanic Street Pawcatuck CT 06379 United States

ISBN: (纸本)9781615677634

TiO2 is an attractive anode material for Li-ion batteries due to its high capacity, high mechanical stability during Li intercalation/ deintercalation process, limited side reactions with the electrolyte, low cost, and environmental friendliness. In this study, titanium hydroxide gel films were prepared in acidic aqueous solutions of TiOSO4, H2O 2 and KNO3 by potentiostatic cathodic electrosynthesis on various copper substrates, including planar Cu foil, mechanically polished planar Cu foil, and Cu nanorod arrays grown on Cu foil. Crystalline TiO 2 films were obtained by heat treating the electrodeposited titanium hydroxide gel films at 500 °C in argon atmosphere. The morphology and microstructure of the TiO2 films were characterized by scanning electron microscope (SEM) and X-ray diffraction (XRD). SEM results showed that after deposition, each Cu nanorod has been covered by a layer of TiO2 gel, forming a core-shell structure. The effects of Cu nanorod arrays on the morphology and the electrochemical property of the TiO2 deposits were discussed. © 2009 Materials Research Society.

关键词： Titanium dioxide

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Fault diagnosis for mobile robots with imperfect models based on particle filter and neural network

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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Duan, Zhuohua Cai, Zixing Yu, Jinxia College of Information Science and Engineering Central South University Changsha 410083 Hunan China Department of Computer School of Information Engineering Shaoguan University Guangdong Shaoguan 512003 China Department of Computer Science and Technology Henan Polytechnic University Jiaozuo 454003 Henan China

ISBN: (纸本)3540344373

Fault detection and diagnosis (FDD) are increasingly important for wheeled mobile robots (WMRs), especially those in unknown environments such as planetary exploration. There are many kinds of fault diagnosis methods available for mobile robots, including multiple model-based approaches, particle filter based approaches, sensor fusion based approaches. Currently, all of these methods are designed for complete models. However, completely modeling a system is difficult, even impossible. In this paper, particle filter and neural network are integrated to diagnose complex systems with imperfect models. Two features are extracted from particles: the sum of sample weights, and the maximal a posteriori probability. These features are further feed to a neural network to decide whether the estimation given by the particle filter is credible or not. An incredible estimation indicates that the true state isn't included in the state space, i.e. it is a novel state (or an unknown fault). This method preserves the merits of particle filter and can diagnose known faults as well as detect unknown faults. It is testified on a real mobile robot. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Mobile robots

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Implementations of Grid-Based Distributed Parallel Computing

Implementations of Grid-Based Distributed Parallel Computing

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International Multi-Symposiums on computer and Computational sciences (IMSCCS)

作者： Weiwei Lin Changgeng Guo Deyu Qi Yuehong Chen Zhang Zhili College of Computer Engineering and Science South China University of Technology Guangzhou Guangdong China Department of Information Engineering Xuchang Vocational and Technical College Xuchang China Department of Computer Science Polytechnic Normal University Guangzhou China Center of Network Xuchang University Xuchang China

Grid computing provides new solutions for numerous complex problems. It is an inevitable trend to implement the distributed parallel computing of large-scale problems with the grid. This paper presents two implementations for distributed parallel computing on globus toolkit, a wide-used grid environment. The first implementation, loosely coupled parallel services is used to achieve the large-scale parallel computing that can be broken down into independent sub-jobs by using the corresponding implementation framework, and the second implementation, grid MPI parallel program is able to deal with specialized applications, which can't easily be split up into numerous independent chunks, by using the proposed implementation framework. Finally, two examples of large-scale parallel computing based on proposed implementations are achieved and the experimental results are shown. We make a beneficial attempt to implement distributed parallel computing on grid computing environments

关键词： Parallel processing Grid computing Concurrent computing Large-scale systems computer networks Distributed computing Resource management Application software computer architecture Service oriented architecture

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Refining algorithm based on extreme genetic algorithm for multiple sequence alignment

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Jisuanji Gongcheng/computer engineering 2006年第2期32卷 200-202页

作者： Deng, Weilin Hu, Guiwu Zheng, Qilun Peng, Hong Hu, Jinsong Department of Computing Guangdong Industry Technical College Guangzhou 510300 China College of Computer Science and Engineering South China University of Technology Guangzhou 510640 China Department of Mathematics Guangdong Business College Guangzhou 510320 China

The MSA (Multiple Sequence Alignment) problem is NP-hard. In order to achieve a sound alignment, progressive and iterative approaches are generally used, but progressive approaches are unable to adjust misalignments in early stages. Iterative approaches face the challenge on how to escape from local optimal alignments. This paper proposes a novel algorithm for refining multiple sequence alignment, which is based on extreme genetic algorithm (EGA) and mine strategy. EGA is based on recombining extreme elements, which reduces the search time efficiently and finds global extreme easily. Mine strategy can mine bad-aligned blocks in alignment done by other algorithms. Firstly, it mines bad-aligned blocks from multiple sequence alignment using mine strategy. Secondly, all bad-aligned blocks are realigned by EGA. When an initial alignment has been generated by progressive approaches, the novel refinement algorithm can adjust misalignments in initial alignment. A final alignment is generated by incorporating the strength of progressive and iterative approaches. The novel algorithm is tested with the datasets from BAliBASE.

关键词： Genetic algorithm Multiple sequence alignment Recombination extreme

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Abstracts from the 6th International Conference on the engineering of Sport, 10-14 July 2006, Olympic Hall, Munich, Germany Abstracts

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SPORTS engineering 2006年第2期9卷 107-127页

作者： [Anonymous] University of Massachusetts Lowell USA Science & Mathematics Department Kettering University Flint USA University of Illinois USA Western Michigan University USA Washington State University USA Casecade Engine USA Kanazawa University Japan Sumitomo Light Metal Japan Massachusetts Institute of Technology USA Nanyang Technological University Bioengineering Singapore University of Vienna Anthropology Austria Department of Mechanical Engineering University of Bath UK INSA Lyon France PETZL France Sports Materials Research Group University of Birmingham UK Laboratoire de Modélisation des Activités Sportives Bourget du Lac France Technical University Kaiserslautern Germany Department of Engineering Mechanics United States Air Force Academy Colorado Springs USA SRAM Corporation Colorado Springs USA Sports Engineering Research Group University of Sheffield UK Sports Engineering CSES Sheffield Hallam University USA Sports Engineering CSES Sheffield Hallam University UK Technische Universität München Germany Rush University Medical Center Chicago USA Faculty of Sports Science Department of Sport Equipment & Materials TU München Germany RMIT University Australia Institute of Health and Sports Sciences University of Tsukuba Ibaraki Japan Machine and Control Department Polytechnic University Kanagawa Japan SRI Sports Ltd. Hyogo Japan SRI Research and Development Ltd. Hyogo Japan Mizuno Corporation Osaka Japan Fukuoka Institute of Technology Fukuoka Japan University of Limerick Éire Graduate School of Engineering Hokkaido University Japan Faculty of Engineering Kitami Institute of Technology Japan University of Calgary Canada TaylorMade-adidas Golf Company USA Davis Mechanical Engineering University of California USA Davis Mechanical & Aeronautical Engineering University of California USA University of Wales Institute Cardiff Cardiff School of Sport UWIC Cardiff Cardiff School of Sport UWIC Wales Loughborough University UK Cranfield University UK Cr

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A multiple particle filters method for fault diagnosis of mobile robot dead-reckoning system

A multiple particle filters method for fault diagnosis of mo...

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作者： Cai, Zixing Duan, Zhuohua Cai, Jingfeng Zou, Xiaobing Yu, Jinxia School of Information Science and Engineering Central South University Changsha Hunan China Department of Computer School of Information Engineering Shaoguan University Shaoguan Guangdong China Department of Electrical and Computer Engineering University of Akron Akron OH 44306 United States College of Information Science and Engineering Central South University Changsha Hunan China Department of Computer Science and Technology Henan Polytechnic University Jiaozuo Henan China

ISBN: (纸本)0780389123

Fault detection and diagnosis (FDD) is increasingly important for wheeled mobile robots (WMRs). One of the most promising approaches is the so-called particle filter (also known as sequential Monte Carlo) method. In this paper, rule based inference and multiple particle filters are integrated to diagnose hard faults of WMR's dead reckoning system. The rule based inference method is employed to determine the states of the movement of the robot in plane and each state of movement is monitored with a particle filter. This approach presents a general framework to combine domain knowledge with particle filters. The key advantage of the proposed method is that it decreases the size of the state space for each particle filter. As a result, it decreases particle number and increases efficiency and accuracy for each particle filter. Experiment performed on a mobile robot shows the improvement in accuracy and efficiency. © 2005 IEEE.

关键词： Failure analysis

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A multiple particle filters method for fault diagnosis of mobile robot dead-reckoning system

A multiple particle filters method for fault diagnosis of mo...

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2005 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Zixing Cai Zhuohua Duan Jingfeng Cai Xiaobing Zou Jinxia Yu School of Information Science and Engineering Central South University Changsha Hunan China Department of Computer School of Information Engineering Shaoguan University Guangdong China Department of Electrical and Computer Engineering University of Akron Akron OH USA College of Information Science and Engineering Central South University Changsha Hunan China Department of Computer Science & Technology Henan Polytechnic University Jiaozuo Henan China

ISBN: (纸本)0780389123

关键词： Particle filters Fault diagnosis Mobile robots Monitoring Fault detection Orbital robotics State-space methods Information science Monte Carlo methods Gaussian noise

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