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IEEE International Conference on systems, Man and Cybernetics

作者： Xuelong Li Steve Maybank Dacheng Tao School of Computer Science and Information Systems University of London London UK Department of Computing Hong Kong Polytechnic University Hong Kong China

Human body motions, including gait information, are a promising biometrics resource. In this paper, the human silhouette is segmented into seven components for visual surveillance applications, namely, head, arm, body, thigh, front-leg, back-leg, and feet. The legs are classified as front-leg or back-leg because of the bipedal walking style: during walking, the left-leg and the right-leg are in front or at the back in turn. The motions of the individual components and of a number of combinations of components are then studied for gender recognition. For HumanID recognition under different cases, the performances of and underlying links amongst the seven human gait components are analyzed.

关键词： Biometrics Surveillance Humans Legged locomotion Cameras Iris Footwear Probes Authentication Authorization

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Teaching Web services using WSExplorer

Teaching Web services using WSExplorer

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Frontiers in Education (FIE) Conference

作者： Jagadeesh Nandigam Venkat N. Gudivada Mostafa El-Said School of Computing & Information Systems Grand Valley State University Allendale MI USA Engineering and Computer Science Marshall University Huntington WV USA

It is important for Web services developers to know "under the hood" aspects of Web services technology for both creating and consuming them. To fulfill this need, we have developed WSExplorer, a tool for teaching Web services concepts and its building blocks. It facilitates hands-on experimentation with the inquiry aspect of UDDI registries, obtaining and analyzing WSDL documents, invoking Web service operations, and examining SOAP requests and responses. This paper begins with a brief introduction to Web services so that the paper is self-contained. Next, we describe how WSExplorer can be used in distributed computing and related courses to learn the underlying technical aspects of Web services. We discuss motivation, rationale, and approach for the exercises that we have designed for use in these courses. More specifically, the exercises explore: discovering Web services using UDDI registry; understanding the structure of a WSDL document; understanding how XML schemas are written by examining the WSDL schema; verifying that a retrieved WSDL document is valid against its schema; identifying operations and I/O message formats supported by a Web service; locating the operations identified by the WSDL analyzer in the corresponding WSDL document; examining SOAP requests/responses and validating them against the corresponding WSDL; and interacting with Web services developed by other students in the class.

关键词： Education Web services Simple object access protocol Application software XML Distributed computing Semantic Web Service oriented architecture Logic programming computer languages

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Enhancing Student Learning In database Courses With Large data Sets

Enhancing Student Learning In Database Courses With Large Da...

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37th Annual Frontiers in Education Conference (FIE 2007), vol.4

作者： Venkat N. Gudivada Jagadeesh Nandigam Yonglei Tao Engineering and Computer Science Marshall University Huntington WV USA School of Computing and Information Systems Grand Valley State University Allendale MI USA

Rapidly increasing storage device capacities at ever decreasing costs have resulted in mushrooming of publicly available large data sets on the Web. In this paper, we describe a novel approach to teaching relational database course by using such data repositories. We demonstrate our approach using the *** product database, though the approach is generic and is applicable to other data repositories. The Amazon database is supposedly the largest product database ever in existence. We have used the Amazon Web Services API and .NET/C# application to extract a subset of the product database to enhance student learning in a relational database course. This realistic data served various activities of the course and provided a rich backdrop to demonstrate more interesting features of SQL and Oracle cost-based query optimization. Central to the course is a semester-long team project. We discuss the details of data extraction from ***, conceptual and logical data modeling, logical and physical database design, database creation and data loading, database querying, and database application development.

关键词： Amazon e-commerce service Enhancing student learning Large data sets Relational database course

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Emotion in HCI

Emotion in HCI

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21st British HCI Group Annual Conference: People and computers XXI HCI.But Not as We Know It, HCI 2007

作者： Peter, Christian Beale, Russell Crane, Elizabeth Axelrod, Lesley Fraunhofer Institute for Computer Graphics Joachim Jungius Str. 11 Germany School of Computer Science University of Birmingham Edgbaston Birmingham United Kingdom University of Michigan Division of Kinesiology 401 Washtenaw Ave. Ann Arbor MI 48108 United States Department of Information Systems and Computing Brunel University UB8 3PH United Kingdom

ISBN: (纸本)9781902505954

An increasing number of conferences, symposia, workshops, journals and books address the subject of emotions and their role in Human-computer Interaction, including workshops at the last two HCI conferences. The need for discussion, exchange of ideas, and interdisciplinary collaboration is ever-increasing as the community grows. This workshop will meet the requirements of individuals working in fields affected by emotion, giving them a podium to raise their questions and work with like-minded people of various disciplines on common subjects. It will focus around four sessions, and will use predominantly small group work, rather than being presentation-based. © 2007, Christian Peter, Russell Beale, Elizabeth Crane & Lesley Axelrod.

关键词： Human computer interaction

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Workshop Report: information Visualization–Human-Centered Issues in Visual Representation, Interaction, and Evaluation

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information Visualization 2007年第3期6卷 189 - 196页

作者： Andreas Kerren John T. Stasko Jean-Daniel Fekete Chris North Computer Science Department School of Mathematics and Systems Engineering (MSI) Växjö University äxjö Sweden School of Interactive Computing & GVU Center Georgia Institute of Technology Atlanta GA U.S.A. INRIA Unité de Recherche Futurs Université Paris-Sud Orsay Cedex France Department of Computer Science and Center for Human–Computer Interaction Virginia Tech Blacksburg VA U.S.A.

From 28 May to 1 June 2007, a seminar on ‘information Visualization–Human-Centered Issues in Visual Representation, Interaction, and Evaluation’ took place at the International Conference and Research Center for computer science, Dagstuhl Castle, Germany. One important aim of this seminar was to bring together researchers and practitioners from information Visualization and related fields, as well as from application areas, for lively discussion and interaction. The seminar allowed critical reflection on actual research efforts, the state of field, evaluation challenges, and other important topics. This report summarizes the event.

关键词： information visualization visualization human-centered aspects evaluation visual analytics interaction exploration human–computer interaction

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A Time-Frequency Based Method for the Detection of Epileptic Seizures in EEG Recordings

A Time-Frequency Based Method for the Detection of Epileptic...

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Annual IEEE Symposium on computer-Based Medical systems

作者： Alexandros T. Tzallas Markos G. Tsipouras Dimitrios I. Fotiadis Department of Medical Physics Medical School University of Ioannina (UoI) Ioannina Greece Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Ioannina Greece

A electroencephalographic (EEG) signals, concerning epileptic seizures, is proposed. First, segments of the EEG signals are analyzed using a time-frequency distribution and then, several features are extracted for each segment, representing the energy distribution over the time-frequency plane. Those features are used as an input in an artificial neural network (ANN), which provides the final classification of the EEG segments (existence of epileptic seizure or not). The evaluation results are very promising, indicating overall accuracy from 89.4% to 99%.

关键词： Time frequency analysis Epilepsy Electroencephalography Signal analysis Feature extraction Patient monitoring Intelligent systems information systems computer science data mining

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Integration of global and local knowledge for fuzzy expert system creation -Application to Arrhythmic Beat Classification

Integration of global and local knowledge for fuzzy expert s...

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29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2007), vol.10

作者： Markos G. Tsipouras Themis P. Exarchos Dimitrios I. Fotiadis Unit of Medical Technology Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Ioannina Greece Department of Medical Physics Medical School University of Ioannina (UoI) Ioannina Greece

In this work, we propose a method for the automated expert system creation. The method is based on the integration of global knowledge (i.e. knowledge from the field experts) and local knowledge (i.e. knowledge derived from the available data) in a single inference engine. Starting from an initial set of rules (expert's knowledge) and an annotated dataset, data mining is performed to the dataset and a second set of rules is acquired. Both of them are integrated into a single set of rules. Fuzzy modeling is then applied to the rules, transforming them into a fuzzy model, and finally, an optimization technique is used to tune the fuzzy model's parameters. The method is applied to a medical domain problem, the cardiac arrhythmic beat classification and satisfactory results have been obtained. The method experiences several advantages compared to approaches based solely on expert's knowledge or mined knowledge while the ability to interpret the decisions made from the created fuzzy expert system is a major advantage compared to "black box" approaches.

关键词： Hybrid intelligent systems Fuzzy sets Engines data mining Decision trees Expert systems Electronic switching systems Genetic algorithms Artificial neural networks Vocational training

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Multichannel Segmentation of cDNA Microarray Images using the Bayes Classifier

Multichannel Segmentation of cDNA Microarray Images using th...

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29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2007), vol.9

作者： Nikolaos Giannakeas Dimitrios I. Fotiadis Laboratory of Biological Chemistry Medical School University of Ioannina (UoI) Ioannina Greece Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Ioannina Greece

Microarray technology provides a powerful tool for the quantification of the expression level for a large number of genes simultaneously. Image analysis is a crucial step for data extraction of microarray gene expression experiments. In this paper we propose a supervised method for the segmentation of microarray images. The Bayes classifier is employed for a pixel by pixel classification. The proposed method classifies the pixels of the image in two classes, foreground and background pixels. For this task, an informative set of features is used from both, green and red channels. The method is evaluated using a set of 5184 spots (consisting of ～15000000 pixels), from the Stanford Microarray database (SMD) and the reported classification accuracy is 82%.

关键词： Image segmentation Pixel data mining Fluorescence Biomedical imaging Shape Image color analysis Gene expression Image databases Spatial databases

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A supervised method to assist the diagnosis of Alzheimer's Disease based on functional Magnetic Resonance Imaging

A supervised method to assist the diagnosis of Alzheimer's D...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Evanthia E. Tripoliti Dimitrios I. Fotiadis Maria Argyropoulou Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina and Biomedical Research Institute FORTH Ioannina Greece Department of Radiology Medical School University of Ioannina (UoI) Ioannina Greece

In this work we present a supervised method to assist the diagnosis of Alzheimer's disease (AD) based on functional magnetic resonance images (fMRI). The method consists of five stages: a) preprocessing of fMRI data to remove non-task related variability, b) modeling the way in which the BOLD response depends on stimulus, c) feature extraction from fMRI data, d) feature selection and e) classification using the Random Forests algorithm. The proposed method is evaluated using data from 41 subjects (14 young adults, 14 non demented older adults and 13 demented older adults).

关键词： Alzheimer's disease Magnetic resonance imaging Brain Positron emission tomography Testing Hemodynamics Computed tomography Spatial resolution Image resolution Blood flow

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Developing a computer science-specific learning taxonomy 07

Developing a computer science-specific learning taxonomy

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2007 Working Group Reports on ITiCSE on Innovation and Technology in computer science Education, ITiCSE-WGR 2007

作者： Fuller, Ursula Johnson, Colin G. Ahoniemi, Tuukka Cukierman, Diana Hernán-Losada, Isidoro Jackova, Jana Lahtinen, Essi Lewis, Tracy L. Thompson, Donna McGee Riedesel, Charles Thompson, Errol Computing Laboratory University of Kent CanterburyCT2 7NF United Kingdom Institute of Software Systems Tampere University of Technology Tampere Finland School of Computing Science Simon Fraser University BurnabyBC Canada Department of Lenguajes Y Sistemas Informáticos Universidad Rey Juan Carlos Madrid Spain Faculty of Management Science and Informatics University of Zilina Zilina Slovakia Department of Information Technology Radford University RadfordVA24142 United States Department of Learning Commons Simon Fraser University BurnabyBC Canada Department of Computer Science and Engineering University of Nebraska Lincoln 259 Avery Hall LincolnNE68588-0115 United States Massey University Wellington New Zealand

ISBN: (纸本)9781450378420

Bloom's taxonomy of the cognitive domain and the SOLO taxonomy are being increasingly widely used in the design and assessment of courses, but there are some drawbacks to their use in computer science. This paper reviews the literature on educational taxonomies and their use in computer science education, identifies some of the problems that arise, proposes a new taxonomy and discusses how this can be used in application-oriented courses such as programming.

关键词： Taxonomies

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