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

作者： I. Antoniou T. Nanou D. Fotiadis A. Likas Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina and Biomedical Research Institute FORTH Ioannina Greece

We present an intelligent web-based system, called h-Life, which addresses the monitoring and improvement of health and lifestyle through the provision of customized dietary plans. Additional plan-related services including monitoring, alerting, reminding and evaluation, complement the functionality of the h-Life system. Several innovative components are integrated in order to efficiently manage the storage, access and retrieval of medical and personal data. Based on the latest technologies in intelligent and communication systems, the system provides the user with personalized dietary plans and lifestyle information, tailored to the individual needs. The h-Life system is based on a scalable and interoperable architecture that can be easily extended to accommodate future needs. Apart from a personal health assistant for the end-users, h-Life is a valuable tool for the health professionals that can remotely monitor their customers and manage the medical knowledge utilized by the system.

关键词： intelligent systems Biomedical monitoring computerized monitoring Logic Medical services Databases Information retrieval Remote monitoring Patient monitoring Cardiovascular diseases

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PLACEBO: a computational platform for health professionals and bioengineers

PLACEBO: a computational platform for health professionals a...

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

作者： F. Vartziotis D.I. Fotiadis I.E. Lagaris A. Likas Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Ioannina Greece Department of Computer Science University of Ioannina and Biomedical Research Institute FORTH Ioannina Greece

In this article, we present PLACEBO, an innovative software and hardware platform, which intends to solve biomedical problems formulated in terms of partial differential equations. It can be networked with various imaging devices, such as MRI and CT and can be used for pre-operative surgical planning. It employs an effective computational environment for solving partial differential equations, which is based on neural networks. This approach, in order to exploit the parallel character of the neural networks, is implemented partly in specialized hardware hosted on a commercial PC. There are two operation levels. A user-level, targeting health professionals that need to solve a set of predefined biomedical problems, and a bioengineering level, which allows the construction of problem sets. Since ease of use is of paramount importance for these kind of platforms, a friendly graphical user-interface is being developed.

关键词： Biomedical computing Partial differential equations Neural networks Biomedical imaging Magnetic resonance imaging Computed tomography Surgery computer networks Neural network hardware Biomedical engineering

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Buffering fuzzy maps in GIS

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Spatial Cognition and Computation 2003年第2-3期3卷 207-222页

作者： Guesgen, Hans W. Hertzberg, Joachim Lobb, Richard Mantler, Andrea Department of Computer Science University of Auckland PMB 92019 Auckland New Zealand Fraunhofer Institute for Autonomous Intelligent Systems Germany University of North Carolina United States

In this paper, we show how standard GIS operations like the complement, union, intersection, and buffering of maps can be made more flexible by using fuzzy set theory. In particular, we present a variety of algorithms for operations on fuzzy raster maps, focusing on buffer operations for such maps. Furthermore, we show how widely-available special-purpose hardware (in particular, z-buffering in graphics hardware) can be used for supporting buffer operations in fuzzy geographic information systems (GIS). © 2003, Lawrence Erlbaum Associates, Inc.

关键词： Geographic information systems

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Neural network robot controller based on structural learning with forgetting

Neural network robot controller based on structural learning...

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IEEE International Symposium on intelligent Control (ISIC)

作者： Xiang Yu S.X. Yang M. Ishikawa Dvanced Robotics and Intelligent Systems (ARK) Lab School of Engineering University of Guelph Guelph ONT Canada Department of Brain Science and Engineering Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology Kitakyushu Japan

In this paper, a neural network based controller is proposed for robot manipulators. By considering the second order term of the Taylor expansion of the robot dynamics, the weight tuning algorithm can guarantee the tracking performance of the robot with unknown dynamics. The generic structure selection problem for the neural network controller is addressed by using the structural learning with forgetting, which can automatically remove the redundancy in the structure. Simulations have been conducted on trajectory tracking for various elliptic trajectories. The result demonstrates the effectiveness of the proposed controller.

关键词： Neural networks Robot control Biological neural networks Manipulator dynamics intelligent robots Control systems Robust stability Trajectory Power system modeling Equations

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Evolutionary Optimization of Markers in Clothes Production

Evolutionary Optimization of Markers in Clothes Production

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作者： Filipič, Bogdan Fister, Iztok Mernik, Marjan Department of Intelligent Systems Jožef Stefan Institute Jamova 39 SI-1000 Ljubljana Slovenia Mura European Fashion Design Plese 2 SI-9000 Murska Sobota Slovenia Fac. of Elec. Eng./Computer Science University of Maribor Smetanova 17 SI-2000 Maribor Slovenia

Optimization of markers plays an important role in preparation of order-based industrial production of clothes. Given a matrix, of pieces in size numbers and designs, the task is to find a list of combinations of size numbers to accomplish a work order. The outcome of this step influences the number of cut out pieces, the amount of material used in the production phase, and the speed of the work order processing. As numerous factors affect the production costs and several conflicting criteria can be involved in marker assessment, marker optimization is a demanding task. In this paper, minimum number of markers per work order is used as an optimization criterion. Marker optimization is formally defined as a knapsack problem, and an evolutionary algorithm is proposed to solve the task. It is tested on real problem instances from industrial clothes production and compared with several other algorithms. Its results on complex work orders are shown to be superior to those of other tested algorithms.

关键词： Fabrics

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An overview of RoboCup-2002 Fukuoka/Busan

An overview of RoboCup-2002 Fukuoka/Busan

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作者： Asada, Minoru Obst, Oliver Polani, Daniel Browning, Brett Bonarini, Andrea Fujita, Masahiro Christaller, Thomas Takahashi, Tomoichi Tadokoro, Satoshi Sklar, Elizabeth Kaminka, Gal A. Dept. of Adaptive Machine Systems Osaka University Osaka Japan University of Koblenz-Landau Artificial Intelligence Group Koblenz Germany University of Hertfordshire Hertfordshire United Kingdom Robotics Institute Carnegie Mellon University Pittsburgh PA United States Department of Electronics Politecnico di Milano Milano Italy GMD-Japan Research Laboratory Kitakyushu Japan Department of Computer Engineering Kobe University Kobe Japan Computer Science Department Ber Ilan University Ramat Gan Israel Computer Science Department Carnegie Mellon University Pittsburgh PA United States

This article reports on the Sixth Robot World Cup Competition and Conference (RoboCup-2002) Fukuoka/Busan, which took place from 19 to 25 June in Fukuoka, Japan. It was the largest RoboCup since 1997 and held the first humanoid league competition in the world. Further, the first ROBOTREX (robot trade and exhibitions) was held with about 50 companies, universities, and institutes represented. A total of 117,000 spectators witnessed this marvelous event, To the best of our knowledge, this was the largest robotic event in history.

关键词： Artificial intelligence

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Automatic discovery of the number of MUAP clusters and superimposed MUAP decomposition in electromyograms

Automatic discovery of the number of MUAP clusters and super...

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

作者： C.D. Katsis D.I. Fotiadis A. Likas I. Sarmas Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina and Biomedical Research Institute FORTH Ioannina Greece University Hospital of Ioannina Ioannina Greece

A novel data driven method for needle EMG decomposition is presented. The method is capable of automatically detecting the number of MUAPs. Superimposed MUAPs are detected and decomposed automatically into their constituents. No a priori knowledge of the number of MUAPs is required. The method is evaluated using a dataset consisting of 8 normal, 8 suffering from myopathy and 7 suffering from neuropathy subjects. The success rate on finding the correct number of clusters was 95%, 89% and 80%, respectively.

关键词： Electromyography Electrodes Muscles Signal processing Needles Signal resolution Neuromuscular Data acquisition Band pass filters Low pass filters

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A multicriteria decision based approach for ischaemia detection in long duration ECGs

A multicriteria decision based approach for ischaemia detect...

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

作者： Y. Goletsis C. Papaloukas D.I. Fotiadis A. Likas L.K. Michalis Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina and Biomedical Research Institute FORTH Ioannina Greece Department of Cardiology Medical School University of Ioannina (UoI) Ioannina Greece

A new method based on a multicriteria classification algorithm, which is applied on data extracted from the electrocardiographic signal and the patient's history, is described for the detection of ischaemic episodes in long duration electrocardiographic recordings. The classification procedure is embedded into a four-stage system of automated ischaemia diagnosis. Using a task-specific cardiac beat database the multicriteria method was properly adjusted to classify each presented cardiac beat as ischaemic or normal. The method was tested using the cardiac beat database and we achieved good results, equal or even better than other reported methods, demonstrating the efficiency of the proposed methodology.

关键词： Electrocardiography Medical diagnostic imaging Databases Heart Interference Contamination Polynomials Filters intelligent systems Information systems

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Test arenas and performance metrics for urban search and rescue robots

Test arenas and performance metrics for urban search and res...

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Proceedings 2003 IEEE/RSJ International Conference on intelligent Robots and systems (IROS 2003) (Cat. No.03CH37453)

作者： A. Jacoff E. Messina B.A. Weiss S. Tadokoro Y. Nakagawa National Institute of Standards and Technology Gaithersburg MD US Intelligent Systems Division National Institute for Standards and Technology Gaithersburg MD USA Department of Computer Science and Systems Engineering Kobe University Kobe Japan National Museum of Emerging Science and Innovation Exhibition Development Group Tokyo Japan

In this paper, we discuss the development and proliferation of robot test arenas that provide tangible, realistic, and challenging environments for mobile robot researchers interested in urban search and rescue applications and other unstructured environments. These arenas allow direct comparison of robotic approaches, objective performance evaluation, and can ultimately provide a proving ground for field-able robotic systems such as those used at the World Trade Center collapse. International robot competitions using these arenas require robots to negotiate complex and collapsed structures, find simulated victims, and generate human readable maps of the environment. A performance metric is presented which quantifies several pertinent robot capabilities and produces an overall score used to evaluate and compare robotic implementations. Future directions for the arenas and the competitions are also discussed.

关键词： Testing Measurement Mobile robots Orbital robotics intelligent robots Humans Robot sensing systems Artificial intelligence Collaboration Technological innovation

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Grace: An autonomous robot for the AAAI Robot Challenge

Grace: An autonomous robot for the AAAI Robot Challenge

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作者： Simmons, Reid Goldberg, Dani Goode, Adam Montemerlo, Michael Roy, Nicholas Sellner, Brennan Urmson, Chris Schultz, Alan Abramson, Myriam Adams, William Atrash, Amin Bugajska, Magda Coblenz, Michael MacMahon, Matt Perzanowski, Dennis Horswill, Ian Zubek, Robert Kortenkamp, David Milam, Tod Wolfe, Bryn Maxwell, Bruce Robotics and Computer Science Carnegie Mellon University Pittsburgh PA United States Robotics Institute Carnegie Mellon University Pittsburgh PA United States ACT-R Research Group Human-Computer Interaction Institute Carnegie Mellon University Pittsburgh PA United States Carnegie Mellon University Pittsburgh PA United States Carnegie Mellon Robotics Institute Carnegie Mellon University Pittsburgh PA United States Intelligent Systems Section Navy Ctr. Appl. Res. Artif. Intell. Naval Research Laboratory Washington DC United States George Mason University Fairfax VA United States Naval Research Laboratory Washington DC United States Georgia Institute of Technology Atlanta GA United States School of Computer Science Carnegie Mellon University Pittsburgh PA United States Stanford University Austrian Research Institute for AI NASA Johnson Space Center Stanford CA United States Intelligent Multimodal Multimedia G. Navy Ctr. Appl. Res. Artif. Intell. Naval Research Laboratory Washington DC United States

The article discusses an autonomous robot for the AAAI Robot Challenge. In an attempt to solve as much of the AAAI Robot Challenge as possible, five research institutions representing academia, industry and government integrated their research into a single robot named Grace. The article describes the first-year effort by the Grace team, including not only the various techniques each participant brought to Grace but also the difficult integration effort itself.

关键词： Artificial intelligence

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