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International Conference on Control and Automation (ICCA)

作者： Grzegorz Bocewicz Zbigniew A. Banaszak Wojciech Muszynski Department of Computer Science and Management Technical University Koszalin Koszalin Poland Department of Business Informatics Warsaw University of Technology Warsaw Poland Institute of Computer Engineering Control and Robotics Wroclaw University of Technology Poland

This paper deals with resource allocation in multi-project manufacturing system design, where more than one shared renewable resource type may be required by the manufacturing operation and the availability of each type is time limited. The aim of the paper is to present a knowledge-based and constraint programming-driven approach to resource allocation where that data can be imprecise. The presented design scheme is used as a framework for developing a task oriented decision support tool for project portfolio prototyping (DST4P 3 ). The tool provides a prompt and interactive service to a set of routine queries defined in terms of both direct and inverse resource allocation tasks.

关键词： Resource management Production Fuzzy set theory Decision making Portfolios Decision support systems Electronic mail Logic programming Job shop scheduling Automatic control

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Investigation of Consensus problem over combined wired/wireless network

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Journal of Information Science and Engineering 2009年第4期25卷 1267-1281页

作者： Cheng, Chien-Fu Wang, Shu-Ching Liang, Tyne Department of Computer Science National Chiao Tung University Hsinchu 300 Taiwan Graduate Institute of Informatics Chaoyang University of Technology Taichung 413 Taiwan

Wireless networks have become ubiquitous, making combined wired/wireless network a popular trend of development in nowadays. Therefore, the Consensus problem in combined wired/wireless network is an important topic. Over the past few years, a considerable number of studies have been made on pure wired networks. However, no studies have ever tried to solve the Consensus problem in combined wired/wireless networks. in order to meet the characteristics of combine wired/wireless networks (the limited resources have made the computation ability of mobile processors often weaker than that of stationary processors) and reduce the number of rounds of message exchange required, most of the communications and computation overhead must be fulfilled within by the consensus-servers. Therefore, we introduce a hierarchical concept in our system model. Only consensus-servers need to exchange messages and compute the common value. in this paper, we will investigate the Consensus problem in combined wired/wireless network to enhance fault-tolerance and reliability. Besides, we also prove our protocol is able to tolerate a maximum number of allowable faulty components with minimum rounds of message exchange required.

关键词： Fault tolerance

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An ontology of image representations for medical image mining

An ontology of image representations for medical image minin...

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IEEE EMBS International Conference on Information technology Applications in Biomedicine (ITAB)

作者： Dimitris K. Iakovidis Daniel Schober Martin Boeker Stefan Schulz Department of Informatics and Computer Technology Technological Educational Institute of Lamia Lamia Greece Department of Medical Biometry and Statistics University of Freiburg Germany

Ontologies are an effective means to formally specify and constrain knowledge. They have proved their utility in various data mining applications, especially in annotating text to render it machine interpretable. More challenging research perspectives arise when ontologies are used to annotate images where the information is encoded in numeric pixel values rather than in natural language. Current approaches to bridge the gap between the pixel-based foundational representation and high level image semantics include the utilization of taxonomies describing 2D spatial relations between the depicted objects and hence linking image features with semantics. To this end we present a novel ontological approach that formalizes concepts and relations regarding image representations for medical image mining. It provides descriptors for pixels, image regions, image features, and clusters. It extends previous approaches by including assertions of spatial relations between clusters in multidimensional feature spaces. The relational assertions enable the linkage between a given image, image region and feature(s) to the object they represent. The proposed approach is more general than most current approaches and can be easily extended to support multimodal data mining.

关键词： Ontologies Image representation Biomedical imaging Pixel Data mining Rendering (computer graphics) Natural languages Bridges Taxonomy Joining processes

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Contribution to the Fault Tolerance for Hybrid Control Systems with Multiple Faults

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IFAC Proceedings Volumes 2009年第8期42卷 235-240页

作者： George K. Fourlas Department of Informatics and Computer Technology Technological Educational Institute (T. E. I.) of Lamia 35100 Lamia Greece (Tel: +30-22310-60186)

Many diagnosis approaches are based in the assumption of single faults. This assumption may result to erroneous diagnosis statement in case where multiple faults occurs. Thereby multiple fault diagnosis is a challenging task especially in the control of large scale complex systems that can be viewed as hybrid systems. This owed to the fact that multiple faults are hard to detect because there consequences can mask or compensate to each other. The goal is to detect multiple faults as early as possible and provide a timely warning. A key issue is to prevent local faults to be developed into system failures that may cause safety hazards, stop temporarily the production and possible detrimental environment impact. This can be achieved by fault tolerant witch means that despites the faults occurrences the system is able to recover its original task with the same or degraded performance. Fault tolerance can be considered that it is constituted by two basic tasks, fault diagnosis and control redesign. In our work we addressed mainly to the first task introducing a method for multiple fault diagnosis in hybrid systems, while we propose a framework for fault tolerant hybrid control systems, which allows retaining acceptable performance under systems faults. The method is tested via a simple application to an electric power transmission system presented in our previous work.

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Evaluating resistance of MCML technology to power analysis attacks using a simulation-based methodology

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作者： Regazzoni, Francesco Eisenbarth, Thomas Poschmann, Axel Großschädl, Johann Gurkaynak, Frank Macchetti, Marco Toprak, Zeynep Pozzi, Laura Paar, Christof Leblebici, Yusuf Ienne, Paolo ALaRI University of Lugano Lugano Switzerland Horst Görtz Institute for IT Security Bochum Germany University of Bristol Department of Computer Science Bristol United Kingdom Swiss Federal Institute of Technology ETH Zurich Switzerland Nagracard SA Cheseaux-sur-Lausanne Switzerland School of Engineering EPFL Lausanne Switzerland Faculty of Informatics University of Lugano Lugano Switzerland School of Computer and Communication Sciences EPFL Lausanne Switzerland

ISBN: (纸本)3642010032

This paper explores the resistance of MOS Current MoDe Logic (MCML) against attacks based on the observation of the power consumption. Circuits implemented in MCML, in fact, have unique characteristics both in terms of power consumption and the dependency of the power profile from the input signal pattern. Therefore, MCML is suitable to protect cryptographic hardware from Differential Power Analysis and similar side-channel attacks. In order to demonstrate the effectiveness of different logic styles against power analysis attacks, two full cores implementing the AES algorithm were realized and implemented with CMOS and MCML technology, and a set of different types of attack was performed using power traces derived from SPICE-level simulations. Although all keys were discovered for CMOS, MCML traces did not presents characteristic that can lead to a successful attack. ©Springer-Verlag Berlin Heidelberg 2009.

关键词： Side channel attack

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Feature extraction from EEG signals in P300 spelling system

Feature extraction from EEG signals in P300 spelling system

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SICE Annual Conference

作者： Kana Omori Tomonari Yamaguchi Katsuhiro Inoue Kyushu Institute of Technology Fukuoka Japan Department of Systems Innovation and Informatics Graduate school of Computer Science and Technology Kyushu Institute of Technology 680-4 Kawazu Iizuka Fukuoka 820-8502 Japan Department of Systems Innovation and Informatics Faculty of Computer Science and Technology Kyushu Institute of Technology 680-4 Kawazu Iizuka Fukuoka 820-8502 Japan

Recently, there are many studies on brain computer interface (BCI) system and some use EEG response at oddball paradigms. The aim of this paper is to extract feature (i.e. P300 response) from the EEG signals to improve the spelling system. We propose the method to analyze the averaged EEG signal concerned time and spatial. It is confirmed that the processing period with feature extraction is able to be shortened by averaging multi-channels. Effective information is obtained from the EEG signal near of the center part.

关键词： Feature extraction Electroencephalography Enterprise resource planning Brain computer interfaces Technological innovation informatics computer science Data mining Pattern recognition Scalp

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Feature extraction of EEG during motor imagery and cognition by using morphological MRA

Feature extraction of EEG during motor imagery and cognition...

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SICE Annual Conference

作者： Tomonari Yamaguchi Mitsuhiko Fujio Katsuhiro Inoue Gert Pfurtscheller Department of Systems Design and Informatics Kyushu Institute of Technology Fukuoka Japan Laboratory of Brain-Computer Interface Graz University of Technology Graz Austria

Electroencephalograph (EEG) recordings during right and left hand motor imagery can be used to move a cursor to a target on a computer screen. Such an EEG-based brain-computer interface (BCI) can provide a new communication channel to replace an impaired motor function. Recently, we have proposed the detection method of Error Potential in order to add the fail safe function to BCI system. In this paper, feature extraction method based on morphological multi-resolution analysis is introduced to extract features concerned with motor imagery and cognition simultaneously from EEG signals. Morphological filter is composed of nonlinear operation between signal and structural function. We propose some design methods of structural function that decide the filter characteristic of morphology. These algorithms are compared to DWT from the view point of filter characteristics. Consequently, effectiveness of our method is confirmed.

关键词： Feature extraction Electroencephalography Cognition Filters Brain computer interfaces Communication channels computer errors Image analysis Signal analysis Design methodology

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Median variant of fuzzy c-means

Median variant of fuzzy c-means

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17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2009

作者： Geweniger, Tina Zühlke, Dietlind Hammer, Barbara Villmann, Thomas University of Leipzig - Med. Dep Computational Intelligence Group Semmelweisstrasse 10 04103 Leipzig Germany Fraunhofer Institute for Applied Information Technology Life Science Informatics Schloss Birlinghoven 53229 Sankt Augustin Germany Clausthal University of Technology Institute of Computer Science Clausthal-Zellerfeld Germany University of Applied Sciences Mittweida Department of Mathematics/Physics/Informatics Computational Intelligence Group Technikumplatz 17 09648 Mittweida Germany

In this paper we introduce Median Fuzzy C-Means (MFCM). This algorithm extends the Median C-Means (MCM) algorithm by allowing fuzzy values for the cluster assignments. To evaluate the performance of M-FCM, we compare ... 详细信息

ISBN: (纸本)2930307099

关键词： Fuzzy systems

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Mutual information approximation via maximum likelihood estimation of density ratio

Mutual information approximation via maximum likelihood esti...

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IEEE International Symposium on Information Theory

作者： Taiji Suzuki Masashi Sugiyama Toshiyuki Tanaka Department of Mathematical Informatics University of Tokyo Japan Department of Computer Science Tokyo Institute of Technology Japan Department of Systems Science Kyoto University Japan

We propose a new method of approximating mutual information based on maximum likelihood estimation of a density ratio function. The proposed method, Maximum Likelihood Mutual Information (MLMI), possesses useful properties, e.g., it does not involve density estimation, the global optimal solution can be efficiently computed, it has suitable convergence properties, and model selection criteria are available. Numerical experiments show that MLMI compares favorably with existing methods.

关键词： Mutual information Maximum likelihood estimation Kernel informatics computer science Random variables Information theory Statistics Testing Machine learning

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A Model-Driven Reverse Engineering Approach for Semantic Web Services Composition

A Model-Driven Reverse Engineering Approach for Semantic Web...

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WRI World Congress on Software Engineering, WCSE

作者： Weijun Sun Shixian Li Defen Zhang YuQing Yan Faculty of Computer Guangdong University of Technology Guangzhou China Department of Computer Science Sun Yat-Sen University Guangzhou China Department of Computer Application Shenzhen Institute of Information Technology Shenzhen China School of Informatics Guangdong University of Foreign Studies (GDUFS) Guangzhou China

ISBN: (纸本)9781424435661

Web service technologies are becoming increasingly important for integrating service-oriented applications. The Web services reverse engineering process becomes necessary in order to facilitate the reuse and composition of Web services. This paper describes a model driven Web service reverse engineering process, where Web service descriptions (WSDL) are transformed to UML models, then the generated UML models are integrated into composite Web services, finally the new Web service descriptions (OWL) are generated.

关键词： Reverse engineering Semantic Web Web services Unified modeling language Ontologies OWL XML Web and internet services Space technology Software engineering

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