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Research and training environment for digital design and test

Research and training environment for digital design and tes...

34th Annual Frontiers in Education: Expanding Educational Opportunities Through Partnerships and Distance Learning - Conference Proceedings, FIE

作者： Ubar, Raimund Wuttke, Heinz-Dietrich Tallinn University of Technology Computing Engineering Department Raja 15 12618 Tallinn Estonia Ilmenau Technical University Faculty of Informatics and Automation post box 10 0565 D-98684 Ilmenau

An environment directed to e-learning is presented for teaching test generation and fault diagnosis in digital circuits. The environment consists of a set of Java applets for learning basics of test preliminary and of a set of low-cost tools for research oriented training in more advanced topics of test. The tools support university courses on digital electronics, computer hardware, testing and design for testability. They help to learn by hands-on exercises how to generate tests, how to build self-testing systems, how to analyze the quality of tests or testing hardware and how to localize faults in hardware. The tasks chosen for hands-on training represent simultaneously real research problems, which allow to foster in students critical thinking, problem solving skills and creativity. © 2004 IEEE.

关键词： Engineering education

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Appointments for 2005-2006 term

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IEEE Transactions on Very Large Scale Integration (VLSI) Systems 2005年第7期13卷 773-782页

作者： Ranganathan, Nagarajan Agrawal, Vishwani D. Chakradhar, Srimat T. Chakrabarty, Krishnendu Courtois, Bernard DeMara, Ronald Hu, Xiaobo Sharon Ismail, Yehea I. Jha, Niraj K. John, Lizy Kurian Ker, Ming-Dou Koren, Israel Liu, Bin-Da Marculescu, Diana Marculescu, Radu Narayanan, Vijaykrishnan Nassif, Sani R. Nowick, Steven M. Sapatnekar, Sachin S. Sherlekar, Sunil Sylvester, Dennis Vemuri, Ranga Pham, Michael Department of Computer Science and Engineering University of South Florida Tampa FL 33620 United States Department of Computer Science and Engineering Nanomaterials and Nanomanufacturing Research Center University of South Florida Tampa United States IEEE United States Systems United States Department of Electrical and Computer Engineering Rutgers University New Brunswick NJ United States IETE India ACM NEC Laboratories America Inc. Princeton NJ United States Duke University Durham NC United States ACM SIGDA Sigma Xi United States Laboratory of Techniques of Informatics and Microelectronics for Computer Architectecture ASME IMAPS IEEE Computer Society University of Central Florida Orlando United States Computer Engineering Program SEECS Department of Computer Science and Engineering University of Notre Dame Notre Dame IN United States Northwestern University Evanston IL United States Department of Electrical Engineering Princeton University Princeton NJ United States Association for Computing Machinery Austin United States UT Austin Engineering Foundation United States Department of Electronics Engineering National Chiao-Tung University Taiwan Department of Electrical and Computer Engineering University of Massachusetts Amherst United States Department of Electrical Engineering Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States Electrical and Computer Engineering Faculty Carnegie Mellon University Pittsburgh PA United States Computer Science and Engineering Department Pennsylvania State University University Park United States IBM Austin Research Laboratory Austin TX United States Columbia University New York NY United States Department of Electrical and Computer Engineering University of Minnesota Minneapolis United States Tata Consultancy Services Centre of Excellence for Embedded Systems India Department of Electrical Engineering IIT Bombay India Department of Electrical Engineering Uni

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The Healthgrid White Paper 3

The Healthgrid White Paper

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3rd Annual Conference of the Healthgrid Association, Healthgrid 2005

作者： Breton, Vincent Dean, Kevin Solomonides, Tony Aloisio, Giovanni Benkner, Siegfried Bilofsky, Howard Blanquer, Ignacio Brady, Michael Cannataro, Mario Chouvarda, Ioanna Claerhout, Brecht De Moor, Georges De Neve, Wilfried De Wagter, Carlos Fiore, Sandro Hassan, Kinda Heeren, Germaine Hernández, Vicente Herveg, Jean A.M. Hofmann, Martin Jones, Chris Koutkias, Vassilios Lloyd, Sharon Lonsdale, Guy Alonso, Victoria L. Maglaveras, Nicos Maigne, Lydia Malousi, Andigoni Martín-Sánchez, Fernando McClatchey, Richard Medico, Enzo Miguet, Serge Mirto, Maria Montagnat, Johan Nørager1, Sofie Nozaki, Kazunori Oliveira, Ilídio Castro Pennec, Xavier Poullet, Yves Merino, Juan Pedro Sánchez Strizh, Irina G. Taillet, Michel Tristram, Clive Tverdokhlebov, Nikolay Veltri, Pierangelo Ziegler, René CNRS-IN2P3 LPC Campus des Cézeaux AubiereCedex63177 France Internet Business Solutions Group Cisco Systems 9 New Square Bedfont Lakes Middlesex FelthamTW14 8HA United Kingdom University of the West of England Bristol CEMS Coldharbour Lane BristolBS6 6TH United Kingdom Center for Advanced Computational Technologies ISUFI Dept. of Innovation Engineering University of Lecce Via per Monteroni Lecce73100 Italy Institute of Scientific Computing University of Vienna Nordbergstrasse 15 ViennaA-1090 Austria University of Pennsylvania School of Engineering and Applied Science Computer and Information Science Center for Bioinformatics 1416 Blockley Hall 423 Guardian Drive PhiladelphiaPA19104-6021 United States Universidad Politecnica de Valencia Camino de Vera/n Valencia46022 Spain FRS FREng Dept. of Engineering Science Oxford University Parks Road OxfordOX1 3PJ United Kingdom Magna Graecia University of Catanzaro School of Bioinformatics and Biomedical Engineering Campus di Germaneto Viale Europa Germaneto Catanzaro88100 Italy Aristotle University The Medical School Lab of Medical Informatics Box 323 Thessaloniki54124 Greece Custodix NV Verlorenbroodstraat 120 Bus 14 MerelbekeB-9820 Belgium Research in Advanced Medical Informatics and Telematics UZ Gent 5K3 De Pintelaan 185 GentB9000 Belgium Department of Radiotherapy Ghent University Hospital Building P7 De Pintelaan 185 GentB-9000 Belgium Laboratoire LIRIS Université Lumière Lyon 2 Campus Porte des Alpes 5 avenue Pierre Mendès France Bron69676 France av. E.Mounierlaan 83 Brussels1200 Belgium Faculté de Droit de Namur - FUNDP Centre de Recherches Informatiques & Droit 5 rempart de la Vierge Namur5000 Belgium Schloss Birlinghoven Sankt Augustin53754 Germany CERN Geneva 231211 Switzerland Oxford University Computing Laboratory Wolfson Building OxfordOX1 3QD United Kingdom C&C Research Laboratories NEC Europe Ltd. Rathausallee 10 Sankt AugustinD-53757 Germany Medic

ISBN: (纸本)158603510X

Over the last four years, a community of researchers working on Grid and High Performance computing technologies started discussing the barriers and opportunities that grid technologies must face and exploit for the development of health-related applications. This interest lead to the first Healthgrid conference, held in Lyon, France, on January 16th–17th, 2003, with the focus of creating increased awareness about the possibilities and advantages linked to the deployment of grid technologies in health, ultimately targeting the creation of a European/international grid infrastructure for health. The topics of this conference converged with the position of the eHealth division of the European Commission, whose mandate from the Lisbon Meeting was "To develop an intelligent environment that enables ubiquitous management of citizens’ health status, and to assist health professionals in coping with some major challenges, risk management and the integration into clinical practice of advances in health knowledge." In this context "Health" involves not only clinical procedures but covers the whole range of information from molecular level (genetic and proteomic information) over cells and tissues, to the individual and finally the population level (social healthcare). Grid technology offers the opportunity to create a common working backbone for all different members of this large "health family" and will hopefully lead to an increased awareness and interoperability among disciplines. The first HealthGrid conference led to the creation of the Healthgrid association, a non-profit research association legally incorporated in France but formed from the broad community of European researchers and institutions sharing expertise in health grids. After the second Healthgrid conference, held in Clermont-Ferrand on January 29th–30th, 2004, the need for a "white paper" on the current status and prospective of health grids was raised. Over fifty experts from different areas of grid tec

关键词： Health risks

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Supporting and Assessing First Year Programming: The Use of WebCT

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Innovation in Teaching and Learning in Information and Computer Sciences 2004年第1期3卷

作者： Sayers H.M. Nicell M.A. Hagan S.J. School of Computing and Intelligent Systems Faculty of Informatics University of Ulster hm.sayers@ulster.ac.ukma.nicell@ulster.ac.uksj.hagan@ulster.ac.uk

Java is used to teach introductory programming to a large cohort enrolled on a variety of degree programmes presented on the University of Ulster’s Magee Campus. There are two introductory programming modules taught in the first year through the traditional medium of lectures underpinned by tutorials and practical laboratory classes. Typically the class is composed of students ranging widely in ability, age, experience and motivation. Historically, students seemed to have great difficulty in achieving a reasonable standard within the twelve-week semester and each year their performance in programming presented a significant hurdle to their academic progression. In an effort to provide opportunities for guided self study and individual progress monitoring, an integrated suite of on-line resources was developed within a WebCT environment. This arrangement provided for stepped tutorials which mapped onto the lecture materials, informal (non-assessed) progress tests and formal (assessed) class tests. Upon completion, the assessed tests returned the score attained along with model solutions for those questions scored as incorrect, and the non-assessed tests returned an immediate response of correct or incorrect along with appropriate feedback. This paper presents the resources provided within the WebCT environment along with a study of students’ experiences. The use of WebCT for coursework assessment was used in conjunction with the more traditional methods of laboratory tests and written tests ( a 50-50 split). Further, a comparison of both coursework and examination results with those of a previous cohort of first year students who did not have access to the WebCT resources and who were assessed solely using traditional methods is presented. This comparison indicates that academic concerns that the adoption of on-line multiple-choice assessment would have a deleterious impact on performance within the more traditional time-limited, end-of-semester written examination w

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Concept decomposition by fuzzy k-means algorithm

Concept decomposition by fuzzy k-means algorithm

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IEEE/WIC International Conference on Web Intelligence, WI 2003

作者： Dobsa, J. Basic, B.J. University of Zagreb Faculty of Organization and Informatics Pavlinska 2 Varazdin42000 Croatia University of Zagreb Faculty of Electrical Engineering and Computing Unska 3 Zagreb10000 Croatia

ISBN: (纸本)0769519326

The method of latent semantic indexing (LSI) is an information retrieval technique using a low-rank singular value decomposition (SVD) of the term-document matrix. Although the LSI method has empirical success, it suffers from the lack of interpretation for the low-rank approximation and, consequently, the lack of controls for accomplishing specific tasks in information retrieval. A method introduced by Dhillon and Modha is an improvement in that direction. It uses centroids of clusters or so called concept decomposition for lowering the rank of the term-document matrix. We focus on improvements of that method using fuzzy k-means algorithm. Also, we compare the precision of information retrieval for the two above methods. © 2003 IEEE.

关键词： Data mining

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Autonomic computing - a means of achieving dependability?

Autonomic Computing - a means of achieving dependability?

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International Conference and Workshop on Engineering of Computer-Based Systems

作者： R. Sterritt D. Bustard School of Computing and Information Engineering Faculty of Informatics University of Ulster UK

Autonomic computing is emerging as a significant new approach to the design of computing systems. Its goal is the development of systems that are self-configuring, self-healing, self-protecting and self-optimizing. Dependability is a long-standing desirable property of all computer-based systems. The purpose of the paper is to consider how autonomic computing can provide a framework for dependability.

关键词： Systems engineering and theory Computer errors Fault tolerant systems Fault tolerance Communities Software systems Testing Mathematics Design engineering informatics

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Towards an autonomic computing environment

Towards an autonomic computing environment

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International Workshop on Database and Expert Systems Applications

作者： R. Sterritt D. Bustard School of Computing and Mathematics University of Ulster UK School of Computing and Mathematics Faculty of Informatics University of Ulster UK

Autonomic computing is a promising new concept in system development. It aims to (i) increase reliability by designing systems to be self-protecting and self-healing; and (ii) increase autonomy and performance by enabling systems to adapt to changing circumstances, using self-configuring and self-optimizing mechanisms. This paper discusses the type of system architecture needed to support such objectives.

关键词： Computer architecture Humans Conferences Databases Expert systems Mathematics Reliability engineering informatics Autonomic nervous system Computer science

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Biomedical pattern discovery and visualisation based on self-adaptive neural networks

Biomedical pattern discovery and visualisation based on self...

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

作者： Haiying Wang F. Azuaje N. Black School of Computing and Mathematics University of Ulster UK Faculty of Informatics University of Ulster UK

With the rapid growth of the amount of biomolecular data, there is an increasing need to develop powerful techniques to enhance pattern discovery capabilities of bioscientists and machines. Based on a self-adaptive neural network, this paper presents a new approach to biomolecular pattern identification and visualisation. The method is applied to the classification of leukaemia samples, which are described by their expression profiles. The results indicate that this framework may significantly facilitate and improve pattern discovery and visualisation tasks, in comparison to traditional algorithms such as the Kohonen self-organising map.

关键词： Neural networks Bioinformatics Biological system modeling Data visualization Gene expression Genomics Data mining Artificial neural networks Sequences Quantization

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Adaptive pre-filtering for retinal vessel detection in HRT images

Adaptive pre-filtering for retinal vessel detection in HRT i...

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Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST'03

作者： Yang, Xiaoyun Morrow, Philip Scotney, Bryan Sch. of Computing and Info. Eng. Faculty of Informatics University of Ulster Cromore Rd. Coleraine Co. Londonderry BT52 1SA United Kingdom

Accurate detection of blood vessels and the measurement of vessel diameter can be used in the analysis of disease processes of the retina. In retinal HRT images two distinct categories of blood vessels exist: those that give the appearance of being 'hollow' and those which do not. In this paper, we propose a new pre-processing step and an associated set of edge detection templates for the accurate identification of 'hollow' blood vessels. Our pre- processing step filters images using an adaptive LoG kernel, matched to the cross-section profile of the vessel, which enhances the edges of the blood vessel and strengthens the contrast between the edge boundaries, the background image and the central hollow part of the vessels. A specifically designed set of templates in 24 directions is then used to detect the position of the edges of the blood vessels and to trace their centre lines.

关键词： Tomography

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A markup language for electrocardiogram data acquisition and analysis (ecgML)

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BMC Medical informatics and Decision Making 2003年第1期3卷 1-13页

作者： Wang, Haiying Azuaje, Francisco Jung, Benjamin Black, Norman School of Computing and Mathematics University of Ulster Newtownabbey BT37 0QB Co. Antrim United Kingdom Centre for Health Informatics Trinity College Dublin Dublin 2 Ireland Faculty of Informatics University of Ulster Newtownabbey BT37 0QB Co. Antrim United Kingdom

Background: The storage and distribution of electrocardiogram data is based on different formats. There is a need to promote the development of standards for their exchange and analysis. Such models should be platform-/ system- and application-independent, flexible and open to every member of the scientific community. Methods: A minimum set of information for the representation and storage of electrocardiogram signals has been synthesised from existing recommendations. This specification is encoded into an XML-vocabulary. The model may aid in a flexible exchange and analysis of electrocardiogram information. Results: Based on advantages of XML technologies, ecgML has the ability to present a system-, application- and format-independent solution for representation and exchange of electrocardiogram data. The distinction between the proposal developed by the U.S Food and Drug Administration and ecgML model is given. A series of tools, which aim to facilitate ecgML-based applications, are presented. Conclusions: The models proposed here can facilitate the generation of a data format, which opens ways for better and clearer interpretation by both humans and machines. Its structured and transparent organisation will allow researchers to expand and test its capabilities in different application domains. The specification and programs for this protocol are publicly available.

关键词： Electronic Patient Record Document Type Definition Clinical Document Architecture Data Mining System Clinical Data Interchange Standard Consortium

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