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第11届国际模糊系统协会世界大会

作者： J.Botzheim C.Cabrita L.T.Kóczy A.E.Ruano Department of Telecommunication and Mediainformatics Budapest University of Technology and Economics Hungary Centre for Intelligent Systems University of Algarve Portugal Department of Telecommunication and Mediainformatics Budapest University of Technology and Economics Hungary Institute of Information Technology and Electrical Engineering Széchenyi István University Gyr Hungary Centre for Intelligent Systems University of Algarve Portugal

In our previous papers fuzzy model identification methods were discussed. The bacterial algorithm for extracting fuzzy rule base from a training set was presented. The Levenberg-Marquardt method was also proposed for determining membership functions in fuzzy systems. The combination of the evolutionary and the gradient-based learning techniques will be called bacterial memetic algorithm. In this paper this new kind of memetic algorithm is introduced for fuzzy rule extraction. The paper presents how the bacterial algorithm can be improved with the Levenberg-Marquardt technique.

关键词： bacterial algoritm, Levenberg-Marquardt method, memetic algorithm

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Optimal capacity provisioning in communication networks with random demand

Optimal capacity provisioning in communication networks with...

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IEEE Workshop on High Performance Switching and Routing

作者： Jun Wu Wuyi Yue Shouyang Wang CAS Academy of Mathematics and Systems Science슠Chinese Academy of Sciences Beijing China Institute of Intelligent Information and Communications Technology Konan University Kobe Japan Department of Information Science and Systems Engineering Konan University Kobe Japan Academy of Mathematics and Systems Science Chinese Academy and Sciences Beijing China

ISBN: (纸本)0780389247

In this paper, we present a stochastic model for optimizing bandwidth capacity provisioning in communication networks (CNs) with the loss rate constraint and profit shortfall risk. The model is proposed for offline traffic engineering optimization, which takes a centralized view of bandwidth allocation, performance control and risk of network profit shortfall. First, we introduce a loss rate constraint in the CN optimization model and derive the optimal capacity of the bandwidth allocation with the loss rate constraint. Then, we use mean-variance approach to analyze the risk averseness in CNs. Finally, numerical results are shown to reveal the impacts of the loss rate constraint and the risk averseness on the CNs performance.

关键词： Communication networks Constraint optimization Communication system traffic control Channel allocation Stochastic processes Bandwidth Traffic control Centralized control Risk analysis Performance loss

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Comparisons and discussion of three typical robot path planning approaches

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Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and technology) 2005年第SUPPL.期36卷 315-319页

作者： Wang, Qi-Zhi Wang, Hong-Zhi School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China Laboratory of Complex System and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 10080 China Laboratory of Intelligent Technology and Systems Tsinghua University Beijing 100084 China Shenyang Coking and Coal Gas Limited Company Shenyang 110026 China

Three typical path planning methods, i.e. artificial potential field, probabilistic path planning and biologically inspired neural network, were introduced. The analysis and comparisons were made in relating to genera... 详细信息

关键词： Artificial potential fields Biologically inspired neural network Obstacle avoidance Probabilistic path planning Robot path planning

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A data mining based approach for the EEG transient event detection and classification

A data mining based approach for the EEG transient event det...

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Annual IEEE Symposium on Computer-Based Medical systems

作者： T.P. Exarchos A.T. Tzallas D.I. Fotiadis S. Konitsiotis S. Giannopoulos Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Ioannina Greece Biomedical Research Institute-FORTH Ioannina Greece Department of Neurological Clinic University Hospital of Ioannina Ioannina Greece

An automated methodology which detects transient events in EEG recordings and classifies those as epileptic spikes, muscle activity, eye blinking activity and sharp alpha activity is presented. It is based on data mining algorithms and includes four stages: (I) EEG preprocessing and transient events detection, (II) clustering of transient events and feature extraction, (III) feature discretization and (IV) association rule mining and classification. The methodology is evaluated using a dataset of 25 EEG recordings and the obtained overall accuracy is 84.35%. The major advantage of our approach is that it is able to provide interpretation for the decisions made since it is based on a set of association rules.

关键词： Data mining Electroencephalography Event detection Epilepsy Feature extraction Association rules Brain Muscles Medical diagnostic imaging intelligent systems

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Soft sensor suits as man-machine interface for wearable power amplifier

Soft sensor suits as man-machine interface for wearable powe...

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IEEE International Conference on systems, Man and Cybernetics

作者： Y. Suzuki T. Tanaka S. Kaneko S. Moromugi M.Q. Feng Department of Mechanical Engineering and Intelligent Systems University of Electro-Communications Chofu Tokyo Japan Graduate School of Information and Science Technology Hokkaido University Sapporo Hokkaido Japan Faculty of Engineering Nagasaki University Bunkyo Nagasaki Japan California Institute of Telecommunications and Information Technology University of California Irvine CA USA

The authors have developed innovative soft sensor suits embedded with electromyogram (EMG) and a variety of sensors for measuring human muscle activities. The sensor suits serve as a man-machine interface for human power amplification. This paper focuses on the EMG part of the sensor suits to study the fundamental issue of torque estimation based on the sensor readings. An innovative auto-calibration system is developed in this study based on multi-regression analysis and neural networks, where an universal database, rather than individual database for each operator, is proposed and as a result, the calibration time is dramatically decreased. The calibration system can also compensate for sensor positioning errors. In the end, the sensor suits are applied as a man-machine interface for a soft power amplifier composed of artificial muscles. The artificial muscles are successfully controlled using the torque information estimated by the EMG sensor suits. The relation between torque estimation errors on sensor suits and maneuverability of power amplifier is experimentally verified.

关键词： Wearable sensors User interfaces Power amplifiers Electromyography Muscles Humans Torque Databases Calibration Anthropometry

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An hybrid training method for B-spline neural networks

An hybrid training method for B-spline neural networks

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IEEE International Symposium on intelligent Signal Processing

作者： C. Cabrita J. Botzheim A.E.B. Ruano L.T. Koczy CSI Centre for Intelligent Systems FCT Universidade do Algarve Faro Portugal Department of Telecommunication and Media Informatics Budapest University슠of슠Technology슠and슠Economics Hungary Institute of Information Technology and Electrical Engineering Széchenyi István University Gyor Hungary

Current and past research has brought up new views related to the optimization of neural networks. For a fixed structure, second order methods are seen as the most promising. From previous works we have shown how second order methods are of easy applicability to a neural network. Namely, we have proved how the Levenberg-Marquard possesses not only better convergence but how it can assure the convergence to a local minima. However, as any gradient-based method, the results obtained depend on the startup point. In this work, a reformulated evolutionary algorithm - the bacterial programming for Levenberg-Marquardt is proposed, as an heuristic which can be used to determine the most suitable starting points, therefore achieving, in most cases, the global optimum.

关键词： Spline Neural networks Microorganisms Genetic programming Evolutionary computation Convergence Multi-layer neural network Network topology Hybrid intelligent systems information technology

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Object detection based on radial reach filter under the change of background

Object detection based on radial reach filter under the chan...

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Optomechatronic Machine Vision

作者： Wajima, N. Takahashi, S. Ito, M. Satoh, Y. Kaneko, S. Department of Intelligent Mechanical Systems Engineering Kagawa University 2217-20 Hayashi-Cho Takamatsu-City Kagawa 761-0396 Japan Hitachi Research Laboratory Hitachi Ltd. 7-1-1 Oomika-Cho Hitachi-City Ibaragi 319-1292 Japan National Institute of Advanced Industrial Science and Technology 1-1-1 Umezono Tukuba-City Ibaragi 305-8568 Japan Graduate School of Information Science and Technology Hokkaido University Kita14 Nishi9 Sapporo-City Hokkaido 060-0814 Japan

In this paper, we propose a new method of object detection. In the past, there are various methods of object detection. Especially, the method of the background subtraction has the effectiveness. However, the methods based on brightness differences are easily influenced by change in lighting condition. In this paper, we use Radial Reach Filter (RRF). RRF is called as the effective method of the change in lighting conditions. However, RRF is not considered change that caused by moving objects on the background image. Then, we propose the new method of object detection that considered motion of the moving objects on the background image. And. we verify the effectiveness by the experiments using a time series image.

关键词： Object recognition

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Introduction

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Robotica 2005年第4期23卷 399-399页

作者： Bradley J. Nelson Hyung Suck Cho Institute of Robotics and Intelligent Systems Swiss Federal Institute of Technology (ETH) Zurich (Switzerland). Department of Mechanical Engineering Korea Advanced Institute of Science and Technology Taejeon (South Korea).

This special issue on Micro/Nano Robotic Perception, Control and Manipulation describes several complementary research efforts from Asia, the United States, and Europe. The topic is timely and the work published in this special issue shows how traditional robotics research is contributing to the emerging micro and nano technologies that are already beginning to demonstrate a strong impact on our society. At milli to microscales, three research efforts in inspection and microassembly are presented. From the University of Minnesota, a force controlled microgripper for photonics microassembly applications is presented. Another important aspect of microassembly is the tracking and alignment of microparts using vision feedback. Work by Dr. Yesin at the Swiss Federal institute of technology-Zurich (ETHZ) is directed towards using CAD model-based full 3DOF tracking for closed-loop control of automated microassembly. Moving towards submicron and nano scales, work from the University of Oldenburg in Germany in developing a novel platform for nanohandling using mobile microrobots has given rise to interesting concepts in how systems that perform future nanomanipulation tasks may be configured. A paper co-authored by researchers at the University of California-Berkeley and Carnegie Mellon University considers the use of optical tweezers integrated with chemical linkages for manufacturing 2D and 3D structures at micro and nanoscales. A microbial separation system at the University of Nagoya uses a novel touch sensor and a micropipette, and demonstrates the interesting research problems that exist in the rapidly emerging field of BioMicrorobotics. It is clear that micro/nano robotics research efforts, like those presented in this special issue, represent a key component of robotics studies, and illustrate one direction where robotics must head in order to ensure that the field of robotics remains relevant to science, engineering and society as a whole.

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A new endoscopic microcapsule robot using beetle inspired microfibrillar adhesives

A new endoscopic microcapsule robot using beetle inspired mi...

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IEEE/ASME (AIM) International Conference on Advanced intelligent Mechatronics

作者： E. Cheung M.E. Karagozler Sukho Park Byungkyu Kim M. Sitti The NanoRobotics Lab and the Department of Mechanical Engineering Carnegie Mellon University Pittsburgh PA USA The NanoRobotics Lab and the Department of Electrical & Computer Engineering Carnegie Mellon University Pittsburgh PA USA Senior Research Scientists at the Intelligent Microsystem Center Korea Institute of Science and Technology Information Seoul South Korea The director of the NanoRobotics Lab and an AssistantProfessor with the Department of Mechanical Engineering and Robotics Institute Carnegie Mellon University Pittsburgh PA USA

The diagnosis of gastrointestinal diseases within the small intestine has been greatly advanced with the introduction of the endoscopic microcapsule in recent years. In an effort to increase its reliability and expand its functionality, a mechanism for stopping and locomoting the capsule within the digestive tract is proposed in this paper. This mechanism, actuated by shape memory alloy wires, utilizes a synthetic microfibrillar adhesive similar to the attachment mechanisms employed by beetles. This fibrillar attachment mechanism is a combination of molecular adhesion caused by van der Waals forces and liquid adhesion caused by capillary forces. The molecular adhesion is enhanced by the presence of microfibers, and the liquid adhesion arises from a secretion from the beetle's footpad. A synthetic version of the beetle's footpad was fabricated from PDMS using a silicon mold. Another version was created from SU-8 using photolithography. Testing revealed decent adhesion with glass and prepared pig intestine in vitro both with a silicone oil to simulate the secretion and without it. A prototype robot with simple polymer adhesive pads for stopping successfully attached and detached inside a flexible vinyl tube. An inch worm locomotion mechanism is proposed and is in the preliminary stages of fabrication and testing

关键词： Robots Adhesives Intestines Fluids and secretions Testing Gastrointestinal tract Diseases Digestive system Shape memory alloys Wires

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Journal of information Science and Engineering: Editorial notice

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Journal of information Science and Engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

No abstract available

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