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International Workshop on Intelligent Networks and Intelligent Systems (ICINIS)

作者： Yingchun Guo Ming Yu Xiaojing Lin Yanhong Liang School of Computer Science and Software Engineering Hebei University of Technology Tianjin China

The conventional image coding metrics based wavelet focus on separable wavelet decomposition, which are not fit for human visual system to extract natural images features, while true dimensional wavelet decomposition can deal with them. This paper studied construction of true bidimensional wavelet filter banks and analyzed similarity of decomposed subbands, furthermore, presented a kind of binary-tree coding by using wavelet trees organized by quad-tree SPIHT for reference. Experiments show that at low bitrates this coding scheme gives results superior to those of quad-tree SPIHT on famous 97 wavelet.

关键词： Image coding Filter bank Wavelet analysis Voice mail Intelligent networks Frequency Wavelet coefficients Intelligent systems computer science software engineering

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The Research and Design on the Workflow Model and Verification Technology Based on BPEL

The Research and Design on the Workflow Model and Verificati...

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International Conference on Computational Intelligence and software engineering (CiSE)

作者： Sui Xin JianHong Ma YuanYuan Li LiJia Zhang School of Computer Science Technology and Software Engineering Hebei University of Technology Tianjin China

The workflow technology is a key technology to achieve business process automation. However, there is some interoperation drawback in dealing with the distributed business process which has been the bottleneck in the effective collaboration among enterprises. In this paper, we have discussed and designed the workflow technology based on the BPE and an interoperable workflow model has been brought forward based on the cross-platform web service. At the same time we discussed the verification technology of workflow to ensure the achievement of business objectives to be right. Finally, we designed a BPEL-based workflow modeling technology, improved the previous verification algorithm to complete the verification.

关键词： Web services computer science software engineering Collaborative work Web and internet services Switches Design automation Algorithm design and analysis Protocols Communication standards

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The Research of Thermal Analysis of Cast Iron Based on Wavelet Filter and Support Vector Machine

The Research of Thermal Analysis of Cast Iron Based on Wavel...

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International Workshop on Intelligent Networks and Intelligent Systems (ICINIS)

作者： Youxi Wu Jinhai Liu Jianman Li DanDan Hou School of Computer Science and Software Hebei University of Technology Tianjin China School of Material Science and Engineering Hebei University of Technology Tianjin China

Thermal analysis becomes an important tool to reflect the solidification behavior of cast irons. In this paper, wavelet filter and Support Vector Machine (SVM) are used to search six important characteristic numbers of thermal analysis in order to improve the calculating reliability and accuracy of thermal analysis. Firstly, wavelet filter is used to filter the cooling curve and cooling rate curve. Then the equations of cooling curve and cooling rate curve are established by SVM. At last, six important characteristic numbers of thermal analysis are calculated. The experiment demonstrates that using this method can obtain better performance than other method.

关键词： Cast iron Wavelet analysis Filters Support vector machines Cooling Temperature Materials science and technology Chemical analysis Discrete wavelet transforms Intelligent networks

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A novel interacting multiple model algorithm based on multi-sensor optimal information fusion rule

A novel interacting multiple model algorithm based on multi-...

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2009 American Control Conference, ACC 2009

作者： Fu, Xiaoyan Jia, Yingmin Du, Junping Yuan, Shiying Beijing 100083 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo Henan 454000 China

ISBN: (纸本)9781424445240

In this paper, a novel interacting multiple model (IMM) algorithm is proposed, which utilizes a multi-sensor optimal information fusion rule to combine multiple models in the linear minimum variance sense instead of famous Bayes' rule. Furthermore, the diagonal matrices are used as the updated weights of models, which are applied to distinguish the effects produced by different dimensions of state, so the new algorithm is named as diagonal interacting multiple model (DIMM) algorithm. Extensive Monte Carlo simulations indicate that the proposed DIMM algorithm has better accuracy of estimation than the IMM algorithm with no increase in the execution time, which confirm that the DIMM algorithm is a competitive alternative to the classical IMM algorithm. © 2009 AACC.

关键词： Monte Carlo methods

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Distributed H∞ consensus control for networks of multiple agents with linear coupling dynamics

Distributed H∞ consensus control for networks of multiple a...

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ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009

作者： Liu, Yang Jia, Yingmin Du, Junping Yu, Fashan Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9784907764333

This paper is devoted to the consensus control for a network of autonomous agents with high-dimension linear coupling dynamics and subject to external disturbances. By transforming the consensus control problem into an H∞ control problem, we propose a distributed state feedback protocol, and obtain conditions in terms of linear matrix inequalities (LMIs) to ensure the consensus with a prescribed H∞ performance level for networks with zero and nonzero communication delays, respectively. Furthermore, the undetermined feedback matrix of the proposed protocol is also solved. A numerical example is included to validate the theoretical results. © 2009 SICE.

关键词： Multi agent systems

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Adaptive multi-class support vector machine for microarray classification and gene selection

Adaptive multi-class support vector machine for microarray c...

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ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009

作者： Li, Juntao Jia, Yingmin Du, Junping Yu, Fashan Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9784907764333

This paper proposes an adaptive multi-class support vector machine for simultaneous microarray classification and gene selection. By evaluating the gene ranking significance, the adaptive multi-class support vector machine is shown to encourage an adaptive grouping effect in the process of building classifiers, thus leading a sparse multi-classifiers with enhanced interpretability. Based on a reasonable correlation between the two regularization parameters, an efficient solution path algorithm is developed for solving the proposed support vector machine. Experiments performed on the leukaemia data set are provided to verify the obtained results. © 2009 SICE.

关键词： Support vector machines

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A novel fingerprint recognition algorithm using 2DPCA and RBFNN

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Journal of Information and Computational science 2009年第4期6卷 1899-1906页

作者： Ni, Jianyun Xu, Qinmin Lei, Ming Luo, Jing Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjin University of Technology Tianjin 300191 China School of Electrical Engineering Tianjin University of Technology Tianjin 300191 China School of Computer Science and Technology Tianjin University of Technology Tianjin 300191 China College of Electrical Engineering and Automation Tianjin Polytechnic University Tianjin 300160 China

Fingerprint recognition algorithm based on minutiae has large computation, slow recognition speed as a result of complex processing, such as image enhance, smooth, binary, and thinning. A novel fingerprint recognition algorithm Using 2DPCA(Two-Dimensional Principal Component Analysis) has been proposed in this paper. Firstly, original images are decomposed into high-frequency and lowfrequency components with the help of Wavelet Transform (WT), and high-frequency components are ignored, so the prime features of original images can be attained. Secondly, the projected features are solved by 2DPCAFinallyfingerprint recognition can be realized by Radial Basis Function Neural Network (RBFNN). The algorithm combines the optimization of the 2DPCA and the adaptability of RBFNN. The experimental results based on FVC2002 have verified that the proposed algorithm has higher robustness to the fingerprint images which has the change of shift and rotation and light than IDFFWNN. © 2009 Binary Information Press.

关键词： Wavelet transforms

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THE APPLICATION OF BINOCULAR RANGING IN THE TRAFFIC ACCIDENT PROCESSING

THE APPLICATION OF BINOCULAR RANGING IN THE TRAFFIC ACCIDENT...

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2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

作者： MU LI ZHEN-ZHOU WANG JING-YUN WANG JIAO-MIN LIU Editorial Department of Academic Journal Hebei University of Science and TechnologyShijiazhuang 05 Institute of Information Science & Engineering Hebei University of Science and TechnologyShijiazhu School of Computer Science and Software Hebei University of Technology Tianjin 300130 China School of Computer Science and Software Hebei University of TechnologyTianjin 300130 China

Traffic accident scene processing is a significant content to traffic supervisory work. The development and application of photographic survey and the digital picture processing technology provide the powerful tool for solved this difficult problem. This article proposed applies binocular ranging to the traffic accident processes. We have priority introduced the technology of survey principle, image filtering and image match which used in this method.

关键词： Traffic accident processing Binocular ranging Image match Image filtering

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Location security in geographic ad hoc routing for VANETs

Location security in geographic ad hoc routing for VANETs

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International Conference on Ultra Modern Telecommunications and Workshops (ICUMT)

作者： Ziwei Ren Wenfan Li Shaoen Wu Qing Yang Lei Chen Computer Science and Software Engineering Southern Polytechnic State University Marietta GA USA Computer Science and Software Engineering Aubum University Auburn AL USA School of Computing University of Southern Mississippi Hattiesburg MS USA Department of Computer Science Sam Houston State University Huntsville TX USA

Vehicle-to-vehicle communication among vehicular ad hoc networks (VANETs) plays an important role in providing a high level of safety and convenience to drivers. Geographic routing protocol has been identified to be suitable for VANETs because of the special nature of such networks, e.g., frequently changed network topology and high dynamic mobility. There is considerable functional research about geographic routing, but the node location security issues have not been vastly concentrated on so far. While selecting every hop, the performance and security can be impacted severely by false position because of the position information importance for geographic routing. Making use of directional antennas, we propose a novel detection mechanism capable of recognizing nodes faking about their positions in beacon message. By checking through which directional antenna beacon messages are received, ones' neighborhood can be easily divided into two groups. In addition, combined with the three malicious node detection rules, nodes can efficiently detect malicious nodes around them after exchanging neighbors grouping information with each others. As the evaluation based on simulations shows, our position verification system can detect malicious nodes successfully and can prevent attacks on geographic routing by false position.

关键词： Vehicles Routing protocols computer science Ad hoc networks Directional antennas software engineering Network topology Information security Intelligent transportation systems Road safety

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Applying LBP Operator to Gabor Response for Palmprint Identification

Applying LBP Operator to Gabor Response for Palmprint Identi...

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International Conference on Information engineering and computer science (ICIECS)

作者： Linlin Shen Zhen Ji Lei Zhang Zhenhua Guo School of Computer Science and Software Engineering Shenzhen University Shenzhen China Biometrics Research Centre Department of Computing Hong Kong Polytechnic University Hong Kong China

ISBN: (纸本)9781424449934

We proposed in this paper an accurate and efficient approach for palmprint identification. In this method, a Gabor wavelet is first convolved with the palmprint image to produce a response image, where LBP is then applied to code the relation among the magnitude of wavelet response at central pixel with that of its neighbors. The method is fully tested using the public PolyU palmprint database. In the experiment, 3864 test images are identified by the proposed method against the 1158 templates. While palm code achieves only about 89% accuracy, over 96% accuracy is achieved by the proposed G-LBP approach. Our approach could identify a palmprint image within 200 ms.

关键词： Feature extraction Testing Pixel Hamming distance Principal component analysis Linear discriminant analysis Wavelet domain computer science software engineering Biometrics

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