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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： S. Widz D. Slezak K. Revett Department of Robotics and Multi-Agent Systems Polish-Japanese Institute of Information Technology Warsaw Poland Department of Computer Science University of Regina Regina Canada Department of Computer Science University of Luton Luton UK

We introduce a multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We use genetic algorithms to tune the parameterized attributes a... 详细信息

关键词： Magnetic resonance imaging Image segmentation Genetic algorithms Brain Histograms computer science Rough sets Alzheimer's disease Parkinson's disease Testing

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A novel shape descriptor based on interrelation quadruplet 1

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International Conference on Image Analysis and Recognition, ICIAR 2004

作者： Han, Dongil You, Bum-Jae Oh, Sang-Rok Department of Computer Engineering Sejong University 98 Gunja-Dong Gwangjin-GuSeoul143-747 Korea Republic of Intelligent Robotics Research Center Korea Institute of Science and Technology 39-1 Haweolkok-Dong Seongbuk-GuSeoul136-791 Korea Republic of

ISBN: (数字)9783540301257

ISBN: (纸本)3540232230

In this paper, we propose a new shape descriptor, which represents the 2-D shape information by using the concept of interrelation quadruplet. For this purpose, the polygonal approximation of 2-D shape is applied first. The line segments can be extracted from the polygonal shapes and the definition of interrelation quadruplet between ling segments is introduced. The properties of interrelation quadruplet that is invariant to translation, rotation and scaling of a pair of line segments is described. Several useful properties of the interrelation quadruplet are also derived in relation to efficient partial shape recognition. The shape recognition using the interrelation quadruplet requires only small space of storage and is shown to be computationally simple and efficient. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Artificial intelligence

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PDS control of macro-micro arm

PDS control of macro-micro arm

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International Workshop on Advanced Motion Control (AMC)

作者： M. Kimata Y. Morita H. Ukai H. Kando F. Matsuno Department of Computer Science & Engineering Faculty of Engineering Nagoya Institute of Technology Japan Department of Mechanical Engineering and Intelligent Systems Faculty of Electrecommunications University of Electro-Communications Japan

This paper presents a Lyapunov-based positioning controller for a macro-micro arm suppressing the bending vibration of the macro arm. On the basis of the distributed parameter model, the output feedback control law is constructed using Lyapunov method. The asymptotic stability on the neighborhood of the desired states of the closed-loop system is proved. The proposed controller consists of the PD feedback of the motor angle and a feedback of the bending strain at the tip of the macro arm. Some simulations are performed to show the effectiveness of the proposed controller.

关键词： Orbital robotics Manipulators Vibration control Lyapunov method Strain control Feedback Shafts Rotors Control systems Safety

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Modular hybrid Petri nets for studying multi-operational production systems where parts follow multiple alternative processes

Modular hybrid Petri nets for studying multi-operational pro...

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IEEE International Conference on robotics and Automation (ICRA)

作者： G.J. Tsinarakis K.P. Valavanis Intelligent Systems and Robotics Laboratory Department of Production Engineering and Management Technical University of Crete Chania Greece Department of Computer Science and Engineering University of South Florida Center for Robot-Assisted Search and Rescue Tampa FL USA

This work presents a modular hybrid timed Petri net (MHTPN) methodology used to study multi-operational production systems in which parts are used for the production of different product types. This research generalizes work presented in Tsinarakis, GJ et al., (2003) that studied production systems where all parts of the same type were used for the production of a type of final products following a common route. 3 fundamental system modules are derived; their MHTPN models are defined, followed by modules synthesis to obtain the overall system Petri net. For any topology, system's nodes and invariants are calculated. Applicability of the method is illustrated through an analytical example.

关键词： Petri nets Production systems Topology Fluid dynamics Assembly intelligent robots Hybrid intelligent systems Laboratories Production engineering Engineering management

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A method for arrhythmic episode classification in ECGs using fuzzy logic and Markov models

A method for arrhythmic episode classification in ECGs using...

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computers in Cardiology (CinC)

作者： M.G. Tsipouras Y. Goletsis D.I. Fotiadis Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Ioannina Greece Biomedical Research Institute-FORTH Ioannina Greece

A method for arrhythmic episode classification using only the RR-interval signal is presented. The method is based on fuzzy logic and Markov models, while classification is performed for nine categories of cardiac rhythms. A two-stage classifier is applied. In the first stage, a fuzzy system classifies the episode using the mean value and standard deviation of the RR-intervals. In the second, the RR-interval signal is transformed to character sequences, which are classified by Markov models. Two representation techniques are used for the extraction of the character sequences: symbolic dynamics and one based on the RR-interval length. The classification of an episode is achieved combining the outcomes of the two stages. The MIT-BIH arrhythmia database is used for the evaluation of the proposed method. The obtained results indicate high performance (accuracy 73%) in arrhythmic episode classification.

关键词： Electrocardiography Fuzzy logic Rhythm Databases Cardiology Testing intelligent systems Information systems computer science Signal processing

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Scaling Behavior in a Stochastic Self-Gravitating System

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Physical Review Letters 2004年第16期92卷 161101-161101页

作者： N. V. Antonov Department of Theoretical Physics St. Petersburg University Uljanovskaja 1 St. Petersburg Petrodvorez 198504 Russia and Intelligent Systems Laboratory Swedish Institute of Computer Science Box 1263 SE-164 29 Kista Sweden

A system of stochastic differential equations for the velocity and density of classical self-gravitating matter is investigated by means of the field theoretic renormalization group. The existence of two types of large-scale scaling behavior, associated with physically admissible fixed points of the renormalization-group equations, is established. Their regions of stability are identified and the corresponding scaling dimensions are calculated in the one-loop approximation (first order of the ε expansion). The velocity and density fields have independent scaling dimensions. Our analysis supports the importance of the rotational (nonpotential) components of the velocity field in the formation of those scaling laws.

关键词： Random processes

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Multisensor-based human tracking behaviors with Markov chain Monte Carlo methods

Multisensor-based human tracking behaviors with Markov chain...

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IEEE-RAS International Conference on Humanoid Robots

作者： T. Miyashita M. Shiomi H. Ishiguro Intelligent Robotics and Communications Laboratories Advanced Telecommunication Research Institute International Keihanna Science City Kyoto Japan ATR IRC and Department of Adaptive Machine Systems Osaka University Suita Osaka Japan

For communication robots, it is important to find a communication partner and attract his or her attention in daily environments. In this paper, we propose a method for communication robots to detect and track a human actively in order to communicate with him or her. We apply Markov chain Monte Carlo methods (MCMC) to human detection and tracking behaviors with a humanoid robot that has four types of sensors. Thus, by utilizing our method, the robot can detect and track humans with irregdar motion in complicated daily environments. While tracking a human, it tries to attract attention by verbal and nonverbal communication. We verify the validity of our method by performing experiments with a humanoid-type communication robot named Robovie.

关键词： Humans Humanoid robots Robot sensing systems Infrared sensors intelligent robots Robot vision systems Charge-coupled image sensors Cameras Tactile sensors Laboratories

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Phase resetting in central and peripheral sinoatrial node cell models

Phase resetting in central and peripheral sinoatrial node ce...

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computers in Cardiology (CinC)

作者： D.G. Tsalikakis H.G. Zhang D.I. Fotiadis G.P. Kremmydas Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Ioannina Greece University of Manchester Institute of Science and Technology Manchester UK Biomedical Research Institute-FORTH Ioannina Greece

We characrerite the eflects of external stimulation on central and peripheral sinoatrial node (SAN) celh using the Zhang et al. model [XI. Phase transition curves (PTCs) for brief (0.5ms) depolarizing and hyperpolarising electrical current pulses of varying amplitude and of timing spanning the whole period are obtained. The application of a critical depdarizing stimulus (about 0.4 nA) during the late repolarization phase of the action potential resulted in annihilation of activity in central SAN cells, revealing the existence of a stable singularity in the corresponding model con3guration. The peripheral SAN cell does not exhibit a similar singularity and annihilation Of the normal acrivity.

关键词： Storage area networks Differential equations Timing Limit-cycles Mercury (metals) intelligent systems Information systems computer science Pacemakers Heart

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Noisy optimization problems - a particular challenge for differential evolution?

Noisy optimization problems - a particular challenge for dif...

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Congress on Evolutionary Computation

作者： T. Krink B. Filipic G.B. Fogel EVALife Department of Computer Science University of Aarhus Aarhus Denmark Department of Intelligent Systems Jožef Stefan Institute Ljubljana Slovenia Natural Selection Inc. La Jolla CA USA

The popularity of search heuristics has lead to numerous new approaches in the last two decades. Since algorithm performance is problem dependent and parameter sensitive, it is difficult to consider any single approach as of greatest utility overall problems. In contrast, differential evolution (DE) is a numerical optimization approach that requires hardly any parameter tuning and is very efficient and reliable on both benchmark and real-world problems. However, the results presented in this paper demonstrate that standard methods of evolutionary optimization are able to outperform DE on noisy problems when the fitness of candidate solutions approaches the fitness variance caused by the noise.

关键词： Search problems computer science intelligent systems Optimization methods Evolutionary computation Convergence Parameter estimation Data engineering Reliability engineering systems engineering and theory

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Development of flexible neural probes and their application to rat brain interfaces

Development of flexible neural probes and their application ...

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SICE Annual Conference

作者： T. Suzuki S. Takeuchi D. Ziegler O. Fukayama Y. Morishita D. Frutiger K. Ishii K. Mabuchi Graduate School of Information Science and Technology University of Tokyo Tokyo Japan Institute of Industrial Science (IIS) University of Tokyo Tokyo Japan Institute of Robotics and Intelligent Systems Swiss Federal Institute of Technology Zurich Switzerland Department of Neurosurgery Kameda Medical Center Kanagawa Japan Department of Neurosurgery Kameda Medical Center Kamogawa Japan

ISBN: (纸本)4907764227

In this paper, descriptions of various flexible neural probes and a rat car system, which we developed, are presented. The probe is sufficiently flexible to enable minimally invasive recording. Some of these probes have micro-fluidic channels integrated into the probe that can be used to inject chemicals into neural tissues and achieve a stable interface with the nervous system. The focus is on issues concerning 1) stable recording with electrodes placed in fluidic channels, 2) improved mechanical stiffness by filling channels with a solid that dissolves in neural tissues, and 3) the probe's application to a nerve regeneration electrode. The rat car system uses signals recorded from a rat motor cortex to control the car carrying the rat. It is being developed as an application of a brain-machine interfacing (BMI) system.

关键词： Probes Electrodes Silicon Solids Control systems intelligent robots Minimally invasive surgery Filling Neural prosthesis Biological materials

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