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Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： Yuntao Qian Sen Jia Jun Zhou Antonio Robles-Kelly College of Computer Science University of Zhejiang Hangzhou China Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University Shenzhen China Canberra Research Laboratory NICTA Canberra ACT Australia College of Engineering and Computer Science Australian National University Canberra ACT Australia

Hyperspectral unmixing is a crucial preprocessing step for material classification and recognition. In the last decade, nonnegative matrix factorization (NMF) and its extensions have been intensively studied to unmix hyperspectral imagery and recover the material end-members. As an important constraint, sparsity has been modeled making use of L 1 or L 2 regularizers. However, the full additivity constraint of material abundances is often overlooked, hence, limiting the practical efficacy of these methods. In this paper, we extend the NMF algorithm by incorporating the L 1/2 sparsity constraint. The L 1/2 -NMF provides more sparse and accurate results than the other regularizers by considering the end-member additivity constraint explicitly in the optimisation process. Experiments on the synthetic and real hyperspectral data validate the proposed algorithm.

关键词： Hyperspectral imaging Pixel Signal to noise ratio Equations Cost function Materials

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DCMTs: Supporting Dynamically Created Migratory Threads

DCMTs: Supporting Dynamically Created Migratory Threads

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IEEE International Conference on Computational science and engineering, CSE

作者： Yueting Zhu Wu Zhang Hai Jiang Yu Lei Junjie Peng Department of Computer Science and Engineering Shanghai University Shanghai China Department of Computer Science and Engineering University of Technology Arlington TX USA Department of Computer Science Arkansas State University Jonesboro AR USA Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy and Sciences China

Thread migration is an effective technique for fault resilience and load balancing in high performance computing. However, flexible thread migration is not easy to achieve. In this paper, we present an approach to creating migratory threads dynamically at application level. The targets must be executable source files. Compared to the static ones, the number of threads created during migration with the new scheme is independent from the context. Various thread cases are considered for migration. Thread state is handled at application level. Variables are saved in structures in C language for speedy state construction. In order to solve the inability of traditional methods in tracking the created threads, a tree of active function calls is used to record the callback. The preprocessor of the proposed one is written in YACC for accuracy and programmability. The migration enabling process is transparent to programmers with the help of the preprocess. The experimental results have demonstrated the effectiveness of this approach.

关键词： Instruction sets Switches computer science Electronic mail Data preprocessing Flexible printed circuits

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Coding Gabor Features for Multi-Modal Biometrics

Coding Gabor Features for Multi-Modal Biometrics

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Chinese Conference on Pattern Recognition (CCPR)

作者： Linlin Shen Zhen Ji Yuwen Li Li Bai Shenzhen Key Laboratory of Embedded System Design School of Computer Science & Software Engineering Shenzhen University China Shenzhen Institute of Information Technology Shenzhen China School of Computer Science University of 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. To make fusion much easier, the same feature, so called fusion code, and decision level fusion strategy are used. Two fusion cases, face & palmprint and FKP & palmprint were taken as examples to verify the effectiveness. Experimental results show that much better performance than single modal biometrics has been achieved.

关键词： Face Biometrics Feature extraction Databases Testing Biomedical imaging Accuracy

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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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Stability of different feature selection methods for selecting protein sequence descriptors in protein solubility classification problem

Stability of different feature selection methods for selecti...

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Annual IEEE Symposium on computer-Based Medical systems

作者： Simon Kocbek Gregor Stiglic Igor Pernek Peter Kokol Research Institute Faculty of Health Sciences University of Maribor Maribor Slovenia Faculty of Electrical Engineering and Computer Science Laboratory for System Design Maribor Slovenia

Predicting protein solubility has gained lots of intention in the recent years and several descriptors have been defined to describe proteins in these works. Therefore, different feature selection methods have been used for selecting the most important attributes. An empirical study, that aims to explain the relationship between the number of samples and stability of seven different feature selection techniques for protein datasets, is presented.

关键词： Proteins Amino acids Stability analysis Support vector machines Databases Numerical stability Correlation

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Color estimation base on a giving color estimation PC-based system

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Procedia - Social and Behavioral sciences 2010年第1期2卷 120-124页

作者： Jin Tao Hitoshi Hoshino Yusaku Fujii Jia Hongzhi Koichi Maru Hou Wenmei Shanghai Key Laboratory of Modern Optical System School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai 20093 China Department of Electronic Engineering Faculty of Engineering Gunma University Gunma 376-8515 Japan

A person's clothes color information was estimated by using a prototype PC-based system. The novel concept can be divided into 3 stages. First, space-variant color filter is put onto the lens of the monochrome security camera. Secondly, when a crime takes place, the camera records suspected person. Finally, just after the crime, characteristics of the space-variant color filter are measured by the police, and the color of the clothes of the suspected person is estimated. In this experiment six kind reference color cloth were used. The result shows using this system to estimate the clothes color is easily, rapidly and precisely.

关键词： Color estimation Crime prevention Information technology

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A model checking approach for solving epistemic riddles

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Jisuanji Xuebao/Chinese Journal of computers 2010年第3期33卷 406-413页

作者： Luo, Xiang-Yu Su, Kai-Le Gu, Ming Key Laboratory of Security for Information System of Ministry of Education School of Software Tsinghua University Beijing 100084 China School of Computer and Control Guilin University of Electronic Technology Guilin Guangxi 541004 China School of Electronics Engineering and Computer Science Peking University Beijing 100871 China

This paper aims to model and solve the Sum and Product Riddle in public announcement logic. A dynamic epistemic model is proposed, that is the linear temporal combination of the epistemic model of environment and the epistemic models after each announcement, such that the authors' model checking technique for temporal epistemic logic can be extended to support the modeling and verification of public announcement logic. This model checking method not only can help to find all solutions, but also verify related temporal epistemic properties. Such characteristic is not fully supported by the current version of MCK, MCMAS and DEMO. The authors implemented the proposed method in the symbolic model checker MCTK via OBDD and verified the sum and product riddle. The experimental results show that the proposed method is correct and efficient.

关键词： Model checking

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Relationships and data sanitization: A study in scarlet 10

Relationships and data sanitization: A study in scarlet

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Proceedings of the 2010 New Security Paradigms Workshop

作者： Bishop, Matt Cummins, Justin Peisert, Sean Singh, Anhad Bhumiratana, Bhume Agarwal, Deborah Frincke, Deborah Hogarth, Michael Dept. of Computer Science University of California at Davis Davis CA 95616-8562 United States Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 United States Dept. of Computer Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand Pacific Northwest National Laboratory Richland WA 99352 United States Dept. of Pathology and Laboratory Medicine University of California Davis Health System Sacramento CA 95820 United States

ISBN: (纸本)9781450304153

Research in data sanitization (including anonymization) emphasizes ways to prevent an adversary from desanitizing data. Most work focuses on using mathematical mappings to sanitize data. A few papers examine incorporation of privacy requirements, either in the guise of templates or prioritization. Essentially these approaches reduce the information that can be gleaned from a data set. In contrast, this paper considers both the need to ''desanitize'' and the need to support privacy. We consider conflicts between privacy requirements and the needs of analysts examining the redacted data. Our goal is to enable an informed decision about the effects of redacting, and failing to redact data. We begin with relationships among the data being examined, including relationships with a known data set and other, additional, external data. By capturing these relationships, desanitization techniques that exploit them can be identified, and the information that must be concealed in order to thwart them can be determined. Knowing that, a realistic assessment of whether the information and relationships are already widely known or available will enable the sanitizers to assess whether irreversible sanitization is possible, and if so, what to conceal to prevent desanitization. © 2010 ACM.

关键词： Data privacy

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Robustify a job-shop schedule according to the payload of the machine

Robustify a job-shop schedule according to the payload of th...

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7th International Conference on Service systems and Service Management, ICSSSM'10

作者： You, Zhiyang Sun, Zhigang Zhao, Xibin Zang, Daxin Department of Computer Science and Technology Tsinghua University Beijing 100084 China School of Software Tsinghua University Beijing China Key Laboratory of Information System Security Ministry of Education School of Software Tsinghua University Beijing 100084 China Software Engineering Institute Beijing University of Aeronautics and Astronautics Beijing 100084 China

ISBN: (纸本)9781424464876

Robust scheduling is an effective way to solve job-shop scheduling problem (JSP) under a dynamic and stochastic environment with uncertainties, which may lead to numerous schedule disruptions. Maintaining the optimization obtained, the robust schedule is more stable in execution. The vast majority of the researches on robust scheduling concentrate on the development of the robustness and stabilization with an optimization target that minimizes makespan. However, other optimization targets are needed in reality, and in this paper, we introduce another optimization target that maximizes the payload of the machine, which can reflect the capacity of machine. This work applies a two-step way to achieve a robust schedule. A baseline schedule in the deterministic environment is generated first, which pursues standard optimization criterions, and then the temporal buffers are inserted into the baseline schedule which make the schedule absorb some level of unexpected disruption without rescheduling. According to the payload of each machine which should be close to the maximum at any time in execution, we can get each size of the temporal buffers inserted into the different operations. An extensive experiment is used to show the relative performance of the proposed robust schedule. It is shown that the schedule is robust and stable under the stochastic disturbance coupling with minimal makespan tardiness and symmetry payload. ©2010 IEEE.

关键词： Stochastic systems

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A fuzzy inference system applied to defect detection in flat steel production

A fuzzy inference system applied to defect detection in flat...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Alice Borselli Valentina Colla Marco Vannucci Marco Veroli Communication and Perception Engineering PERCRO Laboratory Centre of Excellence of Information Pontedera Italy Department of Computer Science and System Engineering Antonio Ruberti University of Roma La Sapienza Rome Italy

Recently in many industrial fields the exploitation of vision systems for quality control had a considerable increase, which is mainly due to the technological progress experienced by such systems, that, with respect to the past, made their performance more appealing and more reliable while the associated costs are decreased. The advantages of these kind of systems in terms of savings in human resources and improved quality monitoring have become far more evident, by encouraging their adoption in a wide variety of production cycles. The present paper deals with the elaboration and information extraction from images, that represent portions of the surface of flat steel products, and describes an algorithm for defect detection and classification. The overall classification procedure is composed of a preliminary part that is mostly related to image processing and analysis, which aims at pointing out the defect (independently on the class it belongs to), as well as to the extraction of relevant features of the detected defect; the second part exploits a fuzzy inference system in order to analyze the type of defect and solves a classification problem that presently can be addressed only with the support of a human operator. Fuzzy inference systems are suitable to this application because they are able to mimic and reproduce the human reasoning.

关键词： Steel Surface treatment Feature extraction Shape Surface morphology Brightness

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