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Study and implementation of agent-based grid resource monitoring model

Study and implementation of agent-based grid resource monito...

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International Conference on Information Science and Engineering (ICISE)

作者： Liu Ming Junqi Zhang Yu Wang Jie Li Department of Computer Science and Technology The Key Laboratory of Embedded System and Service Computing Ministry of Education University of Tongji Shanghai China

ISBN: (纸本)9781424476169

Grid is a promising infrastructure which enables scientists and engineers to access geographically distributed resources. Grid computing is a new technology which focuses on aggregating various kinds of resource (e.g., processor cycles, disk storage, and contents) into one computing platform. The realization of grid computing requires a resource agent to manage and monitor available resources. Based on study of past models, this paper presents a new agent-based resource monitoring model whose main feature is multi-layered monitoring architecture, which enhances the ability to monitor related resource efficiently. In the meantime, the new model has been implemented in the development of a resource monitoring module integrated within a academic grid project.

关键词： Monitoring Computational modeling Databases Grid computing Automation Resource management XML

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Constructing Prioritized Interaction Test Suite with Interaction Relationship

Constructing Prioritized Interaction Test Suite with Interac...

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International Workshop on Education Technology and computer Science, ETCS

作者： Jianjun Yuan Zuowen Jiang The Key Laboratory of Embedded System and Service Department of Computer Science and Technology Computing Ministry of Education of China University of Tongji Shanghai China

ISBN: (纸本)9781424463886;9780769539874

Interaction testing has addressed some issues on how to select a small subset of test cases. In many systems where interaction testing is needed, the entire test suite is not executed because of time or budget constraints. It is important to prioritize the test cases in these situations. On the other hand, there are not always interactions among any factors in real systems. Moreover, some factors may need N-way (N>2) testing since there is a closer relationship among them. We present a model for prioritized interaction testing with interaction relationship and propose a greedy algorithm for generating variable strength covering arrays with bias.

关键词： system testing Software testing computer science education Greedy algorithms Costs Educational technology computer science Laboratories embedded system embedded computing

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Secure Mobile Services by Face and Speech Based Personal Authentication

Secure Mobile Services by Face and Speech Based Personal Aut...

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2010 IEEE International Conference on Intelligent Computing and Intelligent systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

作者： Linlin Shen Songhao Zheng Wei Li Nengheng Zheng Shenzhen Key Laboratory of Embedded System Design College of Computer Science & Software Engineerin College of Information & Engineering Shenzhen University Shenzhen China

With the popularity of mobile devices, people are now able to access mobile services like website surfing, e-banking, e-shopping and voice-mail etc. anywhere anytime. Most of the services require secure biometric based personal authentication. This paper aims to improve the accuracy of personal authentication in mobile environment by integrating multiple modal biometrics, i.e. face and speech. A specially designed Mobile Biometry (MOBIO) database was used to test the performances. While facial biometrics achieved an average EER of 27.3％, speech biometrics achieved an average EER of 33.4％. The multiple modals biometric system reduces the average error rate to 21.0％, which clearly proves the usefulness of fusing face and speech information.

关键词： Face recognition speech recognition fusion

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Hand-Based Biometrics Fusing Palmprint and Finger-Knuckle-Print

Hand-Based Biometrics Fusing Palmprint and Finger-Knuckle-Pr...

引用

International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics (ETCHB)

作者： Linlin Shen Li Bai Zhen Ji Shenzhen Key Laboratory of Embedded System Design School of Computer Science & Software Engineering Shenzhen University Shenzhen China School of Computer Science University of Nottingham Nottingham UK

Although biometrics technology has progressed substantially, its performance is still to be improved for real applications. This paper aims to improve the accuracy of personal identification, when only single sample is registered as template, by integrating multiple hand-based biometrics, i.e. palmprint and finger-knuckle-print. To make fusion much easier, the same feature, so called fusion code, and decision level fusion strategy are used. Experimental results show that much better performance than single modal biometrics has been achieved.

关键词： Biometrics Feature extraction Databases Accuracy Fingers Face Pixel

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A Gabor wavelet based palmprint recognition algorithm and its implementation on TI TMS320VC5509A platform

A Gabor wavelet based palmprint recognition algorithm and it...

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Chinese Conference on Pattern Recognition

作者： Zeng, Qiming Ji, Zhen You, Junmin Li, Wei College of Computer Science and Software Engineering Shenzhen University Shenzhen 518060 China Shenzhen Key Laboratory of Embedded System Design Shenzhen 518060 China

ISBN: (纸本)9781424472109

A Gabor wavelet based palmprint recognition algorithm is introduced in this paper. With high recognition rate and low computational complexity, the algorithm is suitable for portable platform. TI TMS320VC5509A is a high performance digital signal processor (DSP) provided by Texas Instruments Corporation. By using the 5509A chip as the core processor, working with AVR microcontroller, CPLD device and CMOS image sensor, the hardware platform is constructed. By porting the recognition algorithm to the hardware platform, a portable palmprint recognition system is proposed in this paper. Experimental results on PolyU palmprint database and actual captured palmprint image database have demonstrated that, the implemented recognition system can indicate palmprints effectively with little computation time and chip resources required. ©2010 IEEE.

关键词： Palmprint recognition

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Feature Selection Technique for Hyperspectral Imagery Classification with Noise Reduction Preprocessing

Feature Selection Technique for Hyperspectral Imagery Classi...

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Chinese Conference on Pattern Recognition (CCPR)

作者： Sen Jia Zhen Ji Zexuan Zhu Yuntao Qian Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University Shenzhen China College of Computer Science University of Zhejiang Hangzhou China

The rich information available in hyperspectral imagery has posed significant opportunities for material classification and identification. The main problem encountered with the classification process is the high dimensionality of hyperspectral data and the low-sized training dataset. Hence, dimensionality reduction is often adopted to avoid the "curse of dimensionality" phenomenon. However, noise generated by various sources (primarily the sensor and the atmosphere) inevitably decrease the precision of the classifier. In this paper, two wavelet-based methods, wavelet shrinkage and discrete wavelet transform, are applied to preprocess the hyperspectral imagery in sequence, denoising the spatial images and spectral signatures, respectively. After that, affinity propagation, which is a recently proposed feature selection approach, is used to choose representative features from the noise-reduced data. Experimental results demonstrate that the features acquired by the new scheme make the classification results more accurate than those without noise reduction preprocessing.

关键词： Hyperspectral imaging Discrete wavelet transforms Noise reduction Noise Accuracy

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Hierarchical alternating least squares algorithm with Sparsity Constraint for hyperspectral unmixing

Hierarchical alternating least squares algorithm with Sparsi...

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IEEE International Conference on Image Processing

作者： Sen Jia Yuntao Qian Jiming Li Yan Li Zhong Ming Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University Shenzhen China College of Computer Science University of Zhejiang Hangzhou China

In this paper, we not only extend the temporal hierarchical alternating least squares (HALS) to spatial domain, but also incorporate two necessary characteristics of material abundances, full additivity and sparsity, to unmix hyperspectral data. The new algorithm is abbreviated as HALSSC (HALS with Sparsity Constraint). Different from the other endmember extraction approaches, the proposed algorithm does not need the existence assumption of pure pixel of each endmember in the scene. Experimental results on highly mixed synthetic data and real hyperspectral data from Washington DC mall confirm the accuracy of the developed algorithm.

关键词： Hyperspectral imaging Pixel Signal processing algorithms Data mining Reflectivity Materials

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Precisely Locating Multi-QR Code Based on Straight Line Fitting

Precisely Locating Multi-QR Code Based on Straight Line Fitt...

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Chinese Conference on Pattern Recognition (CCPR)

作者： Qiang Huang Ming Li Zhen Ji Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University China College of Computer Science and Software Engineering Shenzhen University China

QR code as a code which can be recognized quickly and in all directions, has been widely used in every walk of life. This paper proposed an approach to exactly locate the QR code, which based on the frame points of the QR code finder pattern to fit line in order to get the four frame lines of the QR code. Compared with commonly used HOUGH transform, our approach reduces a lot of memory and time consumption. Experiment validates that the proposed method can precisely locate multi-QR codes in complicate background.

关键词： Electronic mail Software engineering Educational institutions computer science Laboratories Cities and towns embedded systems

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Feature extraction and selection hybrid algorithm for hyperspectral imagery classification

Feature extraction and selection hybrid algorithm for hypers...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Sen Jia Yuntao Qian Jiming Li Weixiang Liu Zhen Ji Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University Shenzhen China College of Computer Science University of Zhejiang Hangzhou China

Due to the enormous amounts of data contained in hyperspectral imagery, the main challenge for hyperspectral image classification is to improve the accuracy with less computation complexity. Hence, dimensionality reduction (DR) is often adopted, which includes two different kinds of methods, feature extraction and feature selection. In this paper, discrete wavelet transform (DWT) and affinity propagation (AP), which belong to feature extraction and feature selection respectively, are combined together to accomplish the DR task. Firstly, DWT-based features are extracted from the original hyperspectral data; secondly, AP is applied to select representative features from the obtained ones. Experimental results demonstrate that, compared with some other DR methods which only make use of feature extraction or feature selection, the features acquired by the hybrid technique make the classification results more accurate.

关键词： Feature extraction Hyperspectral imaging Discrete wavelet transforms Accuracy Approximation methods Noise

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Precisely locating multi-QR code based on straight line fitting

Precisely locating multi-QR code based on straight line fitt...

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Chinese Conference on Pattern Recognition

作者： Huang, Qiang Li, Ming Ji, Zhen Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University 518060 China College of Computer Science and Software Engineering Shenzhen University 518060 China

ISBN: (纸本)9781424472109

关键词： Hough transforms

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