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40th EASD Annual Meeting of the European Association for the Study of Diabetes : Munich, Germany, 5-9 September 2004

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Diabetologia 2004年第SUPPL 1期47卷 A1-A464页

作者： Veitenhansl, M. Stegner, K. Hierl, F.-X. Dieterle, c. Feldmeier, H. Gutt, B. Landgraf, R. Garrow, A. P. Vileikyte, L. Findlow, A. Waterman, c. Boulton, A. J. M. Shankhdhar, K. Shankhdhar, L. Shankhdhar, U. Petrova, N. L. Foster, A. V. M. Edmonds, M. E. Ferraresi, R. caravaggi, c. De Giglio, R. cavaiani, P. Pogliaghi, i. Sommariva, E. Katz, i. A. Harlan, A. Miranda-Palma, B. Prieto-Sanchez, L. Armstrong, D. G. Bowker, J. H. Mizel, M. S. cernea, S. Wohlgelernter, J. Kidron, M. Modi, P. Raz, i. Arbit, E. Nosek, L. Kapitza, c. Beckett, P. Gelfand, R. Goldberg, M. Heise, t. testa, M. A. turner, R. R. Hayes, J. F. Scranton, R. E. Simonson, D. c. Yang, Y.-W. Hsu, Y.-J. Naujok, O. Francini, F. Jörns, A. tiedge, M. Lenzen, S. Abdel-Wahab, Y. H. A. Marenah, L. Orr, D. F. Shaw, c. Flatt, P. R. chokkalingam, K. Mansell, P. i. clausen, P. Ekbom, P. Damm, P. Feldt-Rasmussen, U. Nielsen, B. Mathiesen, E. R. Feldt-Rasmussen, B. Dewan, S. Da Silva, N. ternan, P. Mc Leong, K. S. Wilding, J. P. H. Asatiani, N. Kurashvili, R. Dundua, M. Shelestova, E. Pagava, K. Ramazashvili, M. Hod, M. Smirnov, S. Petersen, J. L. A. Justesen, t. i. Ringholm Nielsen, L. Müller, c. Højlund, K. Wensaas, A. Kase, E. t. Aas, V. Rustan, A. c. thoresen, G. H. Levin, K. Beck-Nielsen, H. Gaster, M. im, S.-S. Kang, S.-Y. Kim, S.-Y. Ahn, Y.-H. Lihn, A. S. Schmoll, D. Werner, t. Kienitz, A. Meyer, M. Barthel, A. Ailett, F. Sutherland, c. Walther, R. Grempler, R. Sasson, S. Reich, R. tenenbaum, t. Alpert, E. Anfossi, G. Russo, i. traversa, M. Massucco, P. Mattiello, L. Doronzo, G. trovati, M. Lally, S. tan, c. Y. Owens, D. tomkin, G. H. Porchay, i. Péan, F. Bellili, N. Betoulle, D. Balkau, B. tichet, J. Marre, M. Fumeron, F. chatellier, G. Alhenc-Gelas, F. Nichols, G. A. Brown, J. B. Hayes, R. P. Bowman, L. Drexel, H. Saely, c. H. Marte, t. Benzer, W. Langer, P. Hoefle, G. Moll, W. Aczel, S. Karagiannis, E. Lübben, G. Urquhart, R. Edwards, G. Bruce, S. Howlett, H. S. c. cugnardey, N. turner, K. c. Park, J.-S. Fiedorek, F. t. Avogaro, A. Gallo, A. Pinton, P. Riz Innenstadt Klinikum der Universität München München Germany Diabetes Center Medizinische Klinik München Germany Medicine The University of Manchester Manchester UK Medicine University of Manchester Manchester UK Podiatry The University of Salford Manchester UK Department of Medicine/Division of Endocrinology Diabetes and Metabolism University of Miami Miami USA Department of Medicine Manchester Royal Infirmary Manchester UK Podiatry L.K.Diabetes Centre Lucknow India Diabetology L.K.Diabetes Centre Lucknow India Medical Nutrition L.K.Diabetes Centre Lucknow India Diabetic Foot Clinic King’s College Hospital London UK Haemodinamic Department - Cardiovascular Division Magenta Hospital Milan Italy Center for the Study and Treatment of Diabetic Foot Pathology Abbiategrasso Hospital Milan Italy Center for the Study and Treatment of Diabetic Foot Pathology Abbiategrasso Hospital Abbiategrasso Italy Department of Orthopedics University of Miami Miami USA Department of Surgery Southern Arizona Veterans Affairs Medical Center Tucson USA Surgery Southern Arizona VA Medical Center Tucson USA Podiatric Medicine and Surgery Rosalind Franklin University School of Medicine and Science North Chicago USA Diabetes Department Center of Diabetes Nutrition and Metabolic Disorders Clug-Napoca Romania Diabetes Unit Hadassah University Hospital Jerusalem Israel Diabetes Unit Hadassah Hebrew University Hospital Jerusalem Israel Research Department Generex Biotechnology Corporation Toronto Canada Hadassah Hebrew University Hospital Jerusalem Israel Medical Research Emisphere Technologies Inc. New York USA Profil Institut fuer Stoffwechselforschung GmbH Neuss Germany Profil Institute for Metabolic Research Neuss Germany Management Profil Inst. für Stoffwechselforschung Düsseldorf Germany Institute for Metabolic Research Profil Neuss Germany Biostatistics Harvard School of Public Health Boston USA Clinical Research Phase V Technologies Wellesley Hills US

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Real time nonlinear ARMA model structure identification

Real time nonlinear ARMA model structure identification

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international conference on Digital Signal Processing (DSP)

作者： E.N. Demiris S.D. Likothanassis B.G. Konstadopoulou D.G. Karelis Department of Computer Engineering and Informatics University of Patras Patras Greece Computer Technology Institute (C.T.I.) Patras Greece University of Patras Artificial Intelligence Research Center Patras Greece Second Public Financial Department of Parras Hellenic Ministry of Finance Patras Greece Department of Electrical Engineering T.E.I. of Patras Patras Greece

this paper addresses the nonlinear autoregressive moving average (NARMA) identification problem in connection with the choice of the model structure (order) and computation of the time varying system coefficients. We introduce an intelligent method that is based on the reformulation of the problem in the standard state space form and the subsequent implementation of a bank of extended Kalman filters, each fitting a different order model. the problem is reduced then to selecting the true model, using the well known multi-model partitioning theory. Simulations illustrate that the proposed method is selecting the correct model order and identifies the time varying model parameters in real time, while it is insensitive to the noise variations.

关键词： Autoregressive processes Signal processing algorithms Signal processing informatics Artificial intelligence Public finance time varying systems State-space methods Fitting Statistics

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AN OBJEct-ORiENtED tOOLBOX FOR ADAPtiVE NEURAL NEtWORKS' iMPLEMENtAtiON

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international Journal on Artificial intelligence tools 2001年第3期10卷 345-371页

作者： GEORGE D. MANiOUDAKiS SPiRiDON D. LiKOtHANASSiS University of Patras Department of Computer Engineering and Informatics Patras 26500 Greece Computer Technology Institute (C.T.I.) 3 Kolokotroni Str. Patras 26221 Greece

Neural Networks are massively parallel processing systems, that require expensive and usually not available hardware, in order to be realized. Fortunately, the development of effective and accessible software, makes their simulation easy. thus, various neural network's implementation tools exist in the market, which are oriented to the specific learning algorithm used. Furthermore, they can simulate only fixed size networks. in this work, we present some object-oriented techniques that have been used to defined some types of neuron and network objects, that can be used to realize, in a localized approach, some fast and powerful learning algorithms which combine results of the optimal filtering and the multi-model partitioning theory. thus, one can build and implement intelligent learning algorithms that face both, the training as well as the on-line adjustment of the network size. Furthermore, the design methodology used, results to a system modeled as a collection of concurrent executable objects, making easy the parallel implementation. the whole design results in a general purpose tool box which is characterized by maintainability, reusability, and increased modularity. the provided features are shown by the presentation of some practical applications.

关键词： Neural Networks (NN) Object-Oriented (OO) Localized approaches of EKF (MEKA, EBP) Multi-model partitioning theory

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Shape, contour and Grouping in computer Vision 1

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丛书名： Lecture Notes in computer Science

1999年

作者： David A. Forsyth Joseph L. Mundy Vito Gesú Roberto cipolla

ISBN: (数字)9783540468059

ISBN: (纸本)9783540667223

computer vision has been successful in several important applications recently. Vision techniques can now be used to build very good models of buildings from pictures quickly and easily, to overlay operation planning data on a neuros- geon’s view of a patient, and to recognise some of the gestures a user makes to a computer. Object recognition remains a very di cult problem, however. the key questions to understand in recognition seem to be: (1) how objects should be represented and (2) how to manage the line of reasoning that stretches from image data to object identity. An important part of the process of recognition { perhaps, almost all of it { involves assembling bits of image information into helpful groups. there is a wide variety of possible criteria by which these groups could be established { a set of edge points that has a symmetry could be one useful group; others might be a collection of pixels shaded in a particular way, or a set of pixels with coherent colour or texture. Discussing this process of grouping requires a detailed understanding of the relationship between what is seen in the image and what is actually out there in the world.

关键词： image Processing and computer Vision Pattern Recognition computer Graphics Artificial intelligence

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contributory presentations/posters

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Journal of Biosciences 1999年第1期24卷 33-198页

作者： N. Manoj V. R. Srinivas A. Surolia M. Vijayan K. Suguna R. Ravishankar R. Schwarzenbacher K. Zeth Diederichs G. M. Kostner A. Gries P. Laggner R. Prassl Madhusudan Pearl Akamine Nguyen-huu Xuong Susan S. taylor M. Bidva Sagar K. Saikrishnan S. Roy K. Purnapatre P. Handa U. Varshney B. K. Biswal N. Sukumar J. K. Mohana Rao A. Johnson Vasantha Pattabhi S. Sri Krishna Mira Sastri H. S. Savithri M. R. N. Murthy Bindu Pillai Kannan M. V. Hosur Mukesh Kumar Swati Patwardhan K. K. Kannan B. Padmanabhaa S. Sasaki-Sugio M. Nukaga t. Matsuzaki S. Karthikevan S. Sharma A. K. Sharma M. Paramasivam P. Kumar J. A. Khan S. Yadav A. Srinivasan t. P. Singh S. Gourinath Neelima Alam A. Srintvasan Vikas chandra Punit Kaur ch. Betzel S. Ghosh A. K. Bera S. Bhattacharya S. chakraborty A. K. Pal B. P. Mukhopadhyay i. Dey U. Haldar Asok Baneriee Jozef Sevcik Adriana Solovicova K. Sekar M. Sundaralingam N. Genov Dong-cai Liang tao Jiang Ji-ping Zhang Wen-rui chang Wolfgang Jahnke Marcel Blommers S. c. Panchal R. V. Hosur Bindu Pillay Puniti Mathur S. Srivatsun Ratan Mani Joshi N. R. Jaganathan V. S. chauhan H. S. Atreya S. c. Sahu K. V. R. chary Girjesh Govil Elisabeth Adjadj Éric Quinjou Nadia izadi-Pruneyre Yves Blouquit Joël Mispelter Bernadette Heyd Guilhem Lerat Philippe Milnard Michel Desmadreil Y. Lin B. D. Nageswara Rao Vidva Raghunathan Mei H. chau Prashant Pesais Sudha Srivastava Evans coutinho Anil Saran Leizl F. Sapico Jayson Gesme Herbert Lijima Raymond Paxton thamarapu Srikrishnan c. R. Grace G. Nagenagowda A. M. Lynn Sudha M. cowsik Sarata c. Sahu S. chauhan A. Bhattacharya G. Govil Anil Kumar Maurizio Pellecchia Erik R. P. Zuiderweg Keiichi Kawano tomoyasu Aizawa Naoki Fujitani Yoichi Hayakawa Atsushi Ohnishi tadayasu Ohkubo Yasuhiro Kumaki Kunio Hikichi Katsutoshi Nitta V. Rani Parvathy R. M. Kini takumi Koshiba Yoshihiro Kobashigawa Min Yao Makoto Demura Astushi Nakagawa isao tanaka Kunihiro Kuwajima Jens Linge Seán O. Donoghue Michael Nilges G. chakshusmathi Girish S. Ratnaparkhi P. K. Madhu R. Varadarajan c. tetreau Molecular Biophysics Unit Indian Institute of Science Bangalore India Austrian Academy of Sciences Institute of Biophysics and X-ray Structure Research Graz Austria Faculty of Biology University of Konstanz Germany Institute of Medical Biochemistry University of Graz Austria Howard Huges Medical Institute Department of Chemistry & Biochemistry University of California La Jolla USA Department of Chemistry & Biochemistry University of California San Diego La Jolla USA Molecular Biophysics Unit India Department of Microbiology &Cell Biology Indian Institute of Science Bangalore India Macromolecular Structure Laboratory NCI - Frederick Cancer Research and Development Center ABL - Basic Research Program Frederick USA Department of Crystallography and Biophysics University of Madras Chennai Biochemistry Department Indian Institute of Science Bangalore India Condensed Matter Physics Division B.A.R.C. Trombay Mumbai Condensed Matter Physics Division Bhabha Atomic Research Centre Trombay Mumbai IMCB The University of Tokyo Tokyo Japan Mitsubishi Chemical Corporation Yokohama Research Center Yokohama Japan Faculty of Pharmaceutical Sciences Chiba University Chiba Japan Department of Biophysics All India Institute of Medical Sciences New Delhi India Department of Biophysics All India Institute of Medical sciences New Delhi India Institüt Physiologische Chemie Hamburg Germany Biophysics Department Bose Institute Calcutta India Slovak Academy of Sciences Institute of Molecular Biology Bratislava Slovakia Indian Institute of Science Bioinformatics Centre Bangalore Departments of Chemistry and Biochemistry Biological Macromolecular Structure Center USA Bulgarian Academy of Sciences Institute of Organic Chemistry Sofia Bulgaria Chinese Academy of Sciences Institute of Biophysics Beijing China Novartis Pharma AG Preclinical Research Basel Switzerland Department of Chemical Sciences Tata Institute of Fundamental Research Mumbai India Solid State Physics Div

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A run time support system for multiprocessor machines 90

A run time support system for multiprocessor machines

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Proceedings of the 4th international conference on Supercomputing

作者： M. A. tsoukarellas t. S. Papatheodorou Computer Technology Institute (C.T.I.) P.O.Box 1122 26110 Patras Greece and Department of Computer Engineering and Informatics University of Patras Patras Greece

ISBN: (纸本)9780897913690

We report on the design and development of a Run time Support System (RtS) which overcomes known disadvantages of other existing systems. the RtS is independent of the configuration - if the system is reconfigured there is no need to change user's processes. it supports both synchronous and asynchronous communication.A system based on the same design philosophy with this RtS is actually implemented for messages of arbitrary length in the prototype of the PADMAVAti machine, being developed within ESPRit Project 1219 (967). Experiments were conducted in this environment and performance measurements were obtained and are reported here.

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