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International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems: Foreword

International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems 2005年第5期13卷 vii-viii页

作者： Teng, Choh Man Kern-Isberner, Gabriele Institute for Human and Machine Cognition 40 South Alcaniz Street Pensacola FL 32502 United States Department of Computer Science University of Dortmund 44221 Dortmund Germany

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A haptically enhanced broadcasting system

A haptically enhanced broadcasting system

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World Haptics Conference

作者： Jongeun Cha Jeha Ryu Seungjun Kim Byungha Ahn Human-Machine-Computer Interface Laboratory Department of Mechatronics Gwangju Institute of Science and Technology South Korea System Integration Laboratory South Korea

In this paper, we discuss a haptically enhanced broadcasting system. Four stages of a proposed system are briefly analyzed: scene capture, edit, transmission, and display with haptic interaction. In order to show usef... 详细信息

ISBN: (纸本)0769523102

关键词： Haptic interfaces Multimedia communication Layout Internet Web server Digital multimedia broadcasting Multimedia systems TV broadcasting Streaming media computer graphics

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A framework of social interaction support for ubiquitous learning

A framework of social interaction support for ubiquitous lea...

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International Conference on Advanced Information Networking and Applications (AINA)

作者： Guozhen Zhang Qun Jin Man Lin Department of Human Informatics and Cognitive Sciences Waseda University Tokorozawa Saitama Japan Department of Computer Science Saint Francis Xavier University Antigonish NS Canada

ISBN: (纸本)0769522491

This paper describes the computer supported ubiquitous learning system and the social interaction between learners. We define the ubiquitous learning with five prime attributes, and present a generalized social interaction support model for the ubiquitous learning. Moreover, in order to support learners with increasing social skill, a solution for constructing social interaction in ubiquitous learning environment is designed, which includes three major functions; encounter, communication and collaboration support functions.

关键词： Pervasive computing Personal digital assistants computer networks Learning systems computer science education Ubiquitous computing computer interfaces Embedded computing humans Collaboration

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Acoustic feature combination for robust speech recognition

Acoustic feature combination for robust speech recognition

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： A. Zolnay R. Schluter H. Ney Human Language Technology and Pattern Recognition Lehrstuhl für Informatik VI Computer Science Department RWTH Aachen University Aachen Germany

In this paper, we consider the use of multiple acoustic features of the speech signal for robust speech recognition. We investigate the combination of various auditory based (mel frequency cepstrum coefficients, perceptual linear prediction, etc.) and articulatory based (voicedness) features. Features are combined by linear discriminant analysis and log-linear model combination based techniques. We describe the two feature combination techniques and compare the experimental results. Experiments performed on the large-vocabulary task VerbMobil II (German conversational speech) show that the accuracy of automatic speech recognition systems can be improved by the combination of different acoustic features.

关键词： Robustness Speech recognition Mel frequency cepstral coefficient Linear discriminant analysis Cepstrum Feature extraction Automatic speech recognition Autocorrelation Cepstral analysis Concatenated codes

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Algorithms for structural comparison and statistical analysis of 3D protein motifs

Algorithms for structural comparison and statistical analysi...

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10th Pacific Symposium on Biocomputing, PSB 2005

作者： Chen, Brian Y. Fofanov, Viacheslav Y. Kristensen, David M. Kimmel, Marek Lichtarge, Olivier Kavraki, Lydia E. Departments of Computer Science Rice University Houston TX 77005 United States Department of Statistics Houston TX 77005 United States Baylor College of Medicine Struct and Comp. Biol and Mol. Biophys. Prog Houston TX 77030 United States Department of Molecular and Human Genetics Houston TX 77030 United States

ISBN: (纸本)9812560467

The comparison of structural subsites in proteins is increasingly relevant to the prediction of their biological function. To address this problem, we present the Match Augmentation algorithm (MA). Given a structural motif of interest, such as a functional site, MA searches a target protein structure for a match: the set of atoms with the greatest geometric and chemical similarity. MA is extremely efficient because it exploits the fact that the amino acids in a structural motif are not equally important to function. Using motif residues ranked on functional significance via the Evolutionary Trace (ET), MA prioritizes its search by initially forming matches with functionally significant residues, then, guided by ET, it augments this partial match stepwise until the whole motif is found. With this hierarchical strategy, MA runs considerably faster than other methods, and almost always identifies matches in homologs known to have cognate functional sites. Second, in order to interpret matches, we further introduce a statistical method using nonparametric density estimation of the frequency distribution of structural matches. Our results show that the hierarchy of functional importance within structural motifs speeds up the search within targets, and points to a new method to score their statistical significance.

关键词： Proteins

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Advanced robotic residence for the elderly/the handicapped: realization and user evaluation

Advanced robotic residence for the elderly/the handicapped: ...

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IEEE International Conference on Rehabilitation Robotics (ICORR)

作者： Jin-Woo Jung Jun-Hyeong Do Young-Min Kim Kwang-Suhk Suh Dae-Jin Kim Z.Z. Bien Human-friendly Welfare Robot System research center KAIST South Korea Department of Electrical Engineering and Computer Science KAIST Daejeon South Korea

A novel advanced robotic residence, Intelligent Sweet Home (ISH), is developed at KAIST, Korea for testing advanced concepts for independent living of the elderly and the physically handicapped. The work focuses on human-friendly technical solutions for motion/mobility assistance, health monitoring, and advanced human-machine interfaces that provide easy control of both assistive devices and home-installed appliances. To improve the inhabitant's comfort, an intelligent bed, intelligent wheelchair and mechatronic transfer robot were developed. And, various interfaces based on hand gestures and voice, and health monitoring system were studied. This paper emphasizes the realization scheme of Intelligent Sweet Home and user evaluation by a physically handicapped person.

关键词： Senior citizens Intelligent robots Monitoring Testing Man machine systems Motion control Home appliances Wheelchairs Mechatronics Mobile robots

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The WSU model for engineering mathematics education

The WSU model for engineering mathematics education

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2005 ASEE Annual Conference and Exposition: The Changing Landscape of Engineering and Technology Education in a Global World

作者： Klingbeil, N.W. Mercer, R.E. Rattan, K.S. Raymer, M.L. Reynolds, D.B. Wright State University Dayton OH 45435 United States Department of Mechanical and Materials Engineering Wright State University United States Department of Mathematics and Statistics Wright State University United States Department of Electrical Engineering Wright State University United States Department of Computer Science and Engineering Wright State University United States Department of Biomedical Industrial and Human Factors Engineering Wright State University United States

This paper summarizes progress to date on the WSU model for engineering mathematics education, an NSF funded curriculum reform initiative at Wright State University. The WSU model seeks to increase student retention, motivation and success in engineering through application-driven, just-in-time engineering math instruction. The WSU approach begins with the development of a novel freshman-level engineering mathematics course (EGR 101). Taught by engineering faculty, the course includes lecture, laboratory and recitation components. Using an application-oriented, hands-on approach, the course addresses only the salient math topics actually used in a variety of core engineering courses. These include the traditional physics, engineering mechanics, electric circuits and computer programming sequences. The EGR 101 course replaces traditional math prerequisite requirements for the above core courses, so that students can advance in the engineering curriculum without having completed a traditional freshman calculus sequence. This has enabled a significant restructuring of the engineering curriculum, including the placement of formerly sophomore-level engineering courses within the freshman year. The WSU model concludes with the development of a revised engineering mathematics sequence, to be taught by the math department later in the curriculum. The result has shifted the traditional emphasis on math prerequisite requirements to an emphasis on engineering motivation for math, with a just-in-time placement of the new math sequence. The current paper summarizes the motivation, goals and development to date of the WSU model, which is currently in its first year of implementation. The paper reflects modifications since the approach was first reported one year ago, and includes a preliminary assessment of student performance and perception during the first run of EGR 101.

关键词： Engineering education

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Please STeP/spl ***/IN: a socio-technical platform for in situ networking

Please STeP/spl ***/IN: a socio-technical platform for in si...

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Asia-Pacific Conference on Software Engineering

作者： Y. Nishinaka M. Asada Y. Yamamoto Y. Ye SRA Key Technology Laboratory Inc. Shinjuku Tokyo Japan Knowledge Interaction Design Laboratory RCAST University of Tokyo Meguro Tokyo Japan Department of Computer Science University of Colorado Boulder CO USA

This paper describes a system called STeP/spl ***/IN (standing for socio-technical platform for in situ networking) that assists software developer to find and learn Java API libraries. It provides individualized search interface for Java developers, examples that illustrate the usage, and more distinctively a facilitating mechanism that connects Java developers to exchange expertise based on their expertise and social relations. STeP/spl ***/IN is designed and developed based on the dynamic community theory, a new collaboration form that we have proposed.

关键词： Intelligent networks Java Software libraries Documentation Laboratories Object oriented programming Productivity Software standards Packaging computer science

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Feature selection for classification of SELDI-TOF-MS proteomic profiles

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Applied Bioinformatics 2005年第4期4卷 227-246页

作者： Hauskrecht, Milos Pelikan, Richard Malehorn, David E. Bigbee, William L. Lotze, Michael T. Zeh III, Herbert J. Whitcomb, David C. Lyons-Weiler, James Department of Computer Science University of Pittsburgh Pittsburgh PA United States University of Pittsburgh Cancer Institute University of Pittsburgh Pittsburgh PA United States Clinical Proteomics Facility University of Pittsburgh Pittsburgh PA United States Department of Pathology University of Pittsburgh Pittsburgh PA United States Department of Surgery University of Pittsburgh Pittsburgh PA United States Department of Medicine Cell Biology and Physiology Department of Human Genetics University of Pittsburgh Pittsburgh PA United States Cancer Biomarkers Laboratory University of Pittsburgh Pittsburgh PA United States Centers for Pathology and Oncology Informatics University of Pittsburgh Pittsburgh PA United States Center for Biomedical Informatics University of Pittsburgh Pittsburgh PA United States Department of Computer Science 5329 Sennott Building University of Pittsburgh Pittsburgh PA 15260 United States

Background: Proteomic peptide profiling is an emerging technology harbouring great expectations to enable early detection, enhance diagnosis and more clearly define prognosis of many diseases. Although previous research work has illustrated the ability of proteomic data to discriminate between cases and controls, significantly less attention has been paid to the analysis of feature selection strategies that enable learning of such predictive models. Feature selection, in addition to classification, plays an important role in successful identification of proteomic biomarker panels. Methods: We present a new, efficient, multivariate feature selection strategy that extracts useful feature panels directly from the high-throughput spectra. The strategy takes advantage of the characteristics of surface-enhanced laser desorption/ionisation time-of-flight mass spectrometry (SELDI-TOF-MS) profiles and enhances widely used univariate feature selection strategies with a heuristic based on multivariate de-correlation filtering. We analyse and compare two versions of the method: one in which all feature pairs must adhere to a maximum allowed correlation (MAC) threshold, and another in which the feature panel is built greedily by deciding among best univariate features at different MAC levels. Results: The analysis and comparison of feature selection strategies was carried out experimentally on the pancreatic cancer dataset with 57 cancers and 59 controls from the University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, USA. The analysis was conducted in both the whole-profile and peak-only modes. The results clearly show the benefit of the new strategy over univariate feature selection methods in terms of improved classification performance. Conclusion: Understanding the characteristics of the spectra allows us to better assess the relative importance of potential features in the diagnosis of cancer. Incorporation of these characteristics into feature selection strat

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Annotation-based rescue assistance system for teleoperated unmanned helicopter with wearable augmented reality environment

Annotation-based rescue assistance system for teleoperated u...

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IEEE International Workshop on Safety, Security, and Rescue Robotics (SSRR)

作者： M. Koeda Y. Matsumoto T. Ogasawara Collage of Information Science and Engineering Department of Human and Computer Intelligence Ritsumeikan University Kusatsu Shiga Japan Graduate School of Information Science Robotics Laboratory Nara Institute of Science and Technology Ikoma Nara Japan

We introduce an annotation-based rescue assistance system for a teleoperated unmanned helicopter with an wearable augmented reality (AR) environment. In this system, an operator controls the helicopter remotely while watching an annotated view from the helicopter through a head mounted display (HMD) with a laptop PC in a backpack. Virtual buildings and textual annotations assist the rescue operation indicating the position to search rapidly and intensively. The position and the attitude of the helicopter is measured by a GPS and a gyroscope, and sent to the operator's PC via a wireless LAN. Using this system, we conducted experiments to find persons and verified the feasibility.

关键词： Helicopters Augmented reality Control systems Gyroscopes Wireless LAN Global Positioning System Cameras Information science Intelligent robots Robot kinematics

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