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作者： Agmon, Noa Agrawal, Vikas Aha, David W. Aloimonos, Yiannis Buckley, Donagh Doshi, Prashant Geib, Christopher Grasso, Floriana Green, Nancy Johnston, Benjamin Kaliski, Burt Kiekintveld, Christopher Law, Edith Lieberman, Henry Mengshoel, Ole J. Metzler, Ted Modayil, Joseph Oard, Douglas W. Onder, Nilufer O'Sullivan, Barry Pastra, Katerina Precup, Doina Ramachandran, Sowmya Reed, Chris Sariel-Talay, Sanem Selker, Ted Shastri, Lokendra Singh, Satinder Smith, Stephen F. Srivastava, Siddharth Sukthankar, Gita Uthus, David C. Williams, Mary-Anne Department of Computer Science University of Texas at Austin United States Center for Knowledge Driven Information Systems Infosys Labs India Adaptive Systems Section Naval Research Laboratory Washington DC United States Department of Computer Science University of Maryland College Park United States EMC's Center of Excellence in Ireland Research Europe at EMC Ireland Department of Computer Science University of Georgia United States School of Informatics University of Edinburgh United Kingdom Department of Computer Science University of Liverpool United Kingdom Department of Computer Science University of North Carolina Greensboro United States Faculty of Engineering and Information Technology University of Technology Sydney Australia VeriSign Inc. United States Department of Computer Science University of Texas at El Paso United States Machine Learning Department Carnegie Mellon University United States Massachusetts Institute of Technology Media Laboratory United States Carnegie Mellon University's Silicon Valley Campus United States Darrell W. Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computing Science University of Alberta Canada College of Information Studies Institute for Advanced Computer Studies University of Maryland College Park United States Department of Computer Science Michigan Technological University United States Department of Computer Science University College Cork Ireland Cognitive Systems Research Insitute Athens Greece School of Computer Science McGill University Canada Stottler Henke Inc. United States School of Computing University of Dundee United Kingdom Department of Computer Engineering Istanbul Technical University Turkey Convergence Lab Infosys Technologies Ltd. United States Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor United States Robotics Institute Carnegie Mellon University United States University of Wisconsin

The AAAI-11 workshop program was held Sunday and Monday, August 7-18, 2011, at the Hyatt Regency San Francisco in San Francisco, California USA. The AAAI-11 workshop program included 15 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Activity Context Representation: Techniques and Languages;Analyzing Microtext;Applied Adversarial Reasoning and Risk Modeling;Artificial Intelligence and Smarter Living: The Conquest of Complexity;Artifiicial Intelligence for Data Center Management and Cloud Computing;Automated Action Planning for Autonomous Mobile Robots;Computational Models of Natural Argument;Generalized Planning;Human Computation;Human-Robot Interaction in Elder Care;Interactive Decision Theory and Game Theory, 2010;Language-Action Tools for Cognitive Artificial Agents: Integrating Vision, Action, and Language;Lifelong Learning from Sensorimotor Experience;Plan, Activity, and Intent Recognition;and Scalable Integration of Analytics and Visualization. This article presents short summaries of those events. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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Predictive control of convex polyhedron LPV systems with Markov jumping parameters

Predictive control of convex polyhedron LPV systems with Mar...

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Chinese control and Decision Conference, CCDC

作者： Yanyan Yin Fei Liu Peng Shi Hamid Reza Karimi Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi 214122 China Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd CF37 1DL United Kingdom Department of Engineering Faculty of Engineering and Science University of Agder N-4898 Grimstad Norway

The problem of receding horizon predictive control of stochastic linear parameter varying systems is discussed. First, constant coefficient matrices are obtained at each vertex in the interior of linear parameter varying system, and then, by considering semi-definite programming constraints, weight coefficients between each vertex are calculated, and the equal coefficients matrices for the time variable system are obtained. Second, in the given receding horizon, for each mode sequence of the stochastic convex polyhedron linear parameter varying systems, the optimal control input sequences are designed in order to make the states into a terminal invariant set. Outside of the receding horizon, stability of the system is guaranteed by searching a state feedback control law. Finally, receding horizon predictive controller is designed in terms of linear matrix inequality for such system. Simulation example shows the validity of this method.

关键词： Markov processes Predictive control Equations Educational institutions Programming Symmetric matrices

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Temperature-modulated synchronization transition in coupled neuronal oscillators

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Physical Review E 2012年第3期85卷 031910-031910页

作者： Yasuomi D. Sato Keiji Okumura Akihisa Ichiki Masatoshi Shiino Hideyuki Câteau Department of Brain Science and Engineering Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology 2-4 Hibikino Wakamatsu Kitakyushu 808-0196 Japan Frankfurt Institute for Advanced Studies (FIAS) Johann Wolfgang Goethe University Ruth-Moufang-Strasse 1 D-60438 Frankfurt am Main Germany RIKEN BSI-TOYOTA Collaboration Center RIKEN Brain Science Institute 2-1 Hirosawa Wako Saitama 351-0198 Japan Department of Physics Faculty of Science Tokyo Institute of Technology 2-12-1 Ohokayama Meguro-ku Tokyo 152-8551 Japan

We study two firing properties to characterize the activities of a neuron: frequency-current (f-I) curves and phase response curves (PRCs), with variation in the intrinsic temperature scaling parameter (μ) controlling the opening and closing of ionic channels. We show a peak of the firing frequency for small μ in a class I neuron with the I value immediately after the saddle-node bifurcation, which is entirely different from previous experimental reports as well as model studies. The PRC takes a type II form on a logarithmic f-I curve when μ is small. Then, we analyze the synchronization phenomena in a two-neuron network using the phase-reduction method. We find common μ-dependent transition and bifurcation of synchronizations, regardless of the values of I. Such results give us helpful insight into synchronizations tuned with a sinusoidal-wave temperature modulation on neurons.

关键词： Neurons

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Generation of discrete frequency and wavelength for secured computer networks system using integrated ring resonators

Generation of discrete frequency and wavelength for secured ...

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International Conference on Computer and Communication engineering, ICCCE

作者： I. S. Amiri k. Sarkhanlou A. Nikoukar A. Shahidinejad J. Ali P. P. Yupapin Institute of Advanced Photonics Science Nanotechnology Research Alliance Universiti Teknologi Malaysia (UTM) Johor Bahru Malaysia Department of Computer Software Engineering Comprehensive University of Applied and Practical Sciences Ardebil Iran Faculty of Computer Science & Information Systems (FCSIS) Universiti Teknologi Malaysia (UTM) Johor Bahru Malaysia Advanced Research Center for Photonics Faculty of Science King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

In this study, a system of discrete optical pulse generation via a series of microring resonator (MRR) is presented. Chaotic signals can be generated by an optical soliton or a Gaussian pulse within a MRR system. Large bandwidth signals of optical soliton are generated by input pulse propagating within the MRRs, which can be used to form continuous wavelength or frequency with large tunable channel capacity. Therefore, distinguished discrete wavelength or frequency pulses can be generated by using localized spatial pulses via a networks communication system. Selected discrete pulses are more suitable to generate high-secured quantum codes because of the large free spectral range (FSR). Quantum codes can be generated by using a polarization control unit and a beam splitter, incorporating to the MRRs. In this work, frequency band of 10.7 MHz and 16 MHz and wavelengths of 206.9 nm, 1448 nm, 2169 nm and 2489 nm are localized and obtained which can be used for quantum codes generation applicable for secured networks communication.

关键词： Optical solitons Optical filters Optical pulses Optical ring resonators Nonlinear optics Optical polarization

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Gain-Scheduled H-infinity Observer Design for Nonlinear Stochastic systems with Time-Delay and Actuator Saturation

Gain-Scheduled H-infinity Observer Design for Nonlinear Stoc...

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American control Conference

作者： Yanyan Yin Peng Shi Fei Liu Hamid Reza Karimi Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi Jiangsu 214122 P. R. China Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd CF37 1DL United Kingdom Department of Engineering Faculty of Engineering and Science University of Agder N-4898 Grimstad Norway

ISBN: (纸本)9781457710957

In this paper, we propose a method for designing continuous gain-scheduled robust H_∞ observer on a class of extended stochastic nonlinear systems subject to time delay and actuator saturation. Initially, gradient linearization procedure is applied to describe such extended nonlinear systems into several model-based linear systems. Next, a robust linear H_∞ observer is designed to such linear stochastic models. Subsequently, a convex hull set is investigated and sufficient condition is derived in terms of feedback observer to determine whether a given initial condition belongs to an ellipsoid invariant set. Finally, continuous gain-scheduled approach is employed to design continuous nonlinear observers on the entire extended nonlinear jump system. A simulation example is given to illustrate the effectiveness of developed techniques.

关键词： Nonlinear stochastic system time delay Observers actuators system clock INITIAL CONDITIONS Nonlinear systems

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Numerical analyses of circuit constants and eddy current distribution in the brain in transcranial magnetic stimulation using eccentric figure-eight coils

Transactions of Japanese Society for Medical and Biological ...

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Transactions of Japanese Society for Medical and Biological engineering 2012年第1期50卷 180-188页

作者： Kato, Takuya Sekino, Masaki Matsuzaki, Taiga Nishikawa, Atsushi Saitoh, Youichi Ohsaki, Hiroyuki Department of Electrical Engineering and Information Systems Graduate School of Engineering The University of Tokyo Japan Department of Neuromodulation and Neurosurgery Office for University-Industry Collaboration Osaka University Japan Home Healthcare Research and Development Department Teijin Pharma Limited Japan Bioengineering Course Division of Applied Biology Faculty of Textile Science and Technology Shinshu University Japan Department of Advanced Energy Graduate School of Frontier Sciences The University of Tokyo Japan

We previously proposed an eccentric figure-eight coil design which induces sufficient currents in the brain at lower output powers of stimulator. In the present study, numerical analyses were performed with various coil design parameters, such as outer and inner diameters and number of turns, to investigate the influence of these parameters on the eddy current distribution in the brain and the coil characteristics. Increases in the inner diameter, the outer diameter, and the number of turns caused increases in the induced currents. In order to downsize the stimulator system, we need to strengthen the eddy current in the brain, maintaining inductance as small as possible. Our results show that it is effective to enlarge outer diameter. In addition, there is only small difference in the eddy current distributions between the eccentric coil and the concentric coil in direction along with the coil plane and with depth of the brain.

关键词： Numerical analysis

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Development of JAUS-compliant controller using python

Development of JAUS-compliant controller using python

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50th Annual Conference on Society of Instrument and control Engineers, SICE 2011

作者： Cho, Takumi Kobayashi, Kazuyuki Watanabe, Kajiro Ohkubo, Tomoyuki Kurihara, Yosuke Department of Systems and Control Engineering Faculty of Engineering Hosei University Tokyo Japan Faculty of Engineering Hosei University Tokyo Japan Faculty of Science and Technology Seikei University Tokyo Japan

ISBN: (纸本)9784907764395

JAUS was originally defined by the United States department of Defense for enhanced interoperability between different types of unmanned systems and controllers. In order for unmanned systems to accomplish various missions, messages are defined based on the JAUS Reference Architecture. In this paper, we describe a JAUS-compliant controller for the JAUS Challenge in the Intelligent Ground Vehicle Competition (IGVC). To achieve rapid controller version-up during the competition, we employed Python language and MATLAB, a combination that enabled rapid modification during the debugging process. The validity of the proposed approach was verified through the IGVC 2011 competition. © 2011 SICE.

关键词： Python

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Artifactual component classification from MEG data using support vector machine

Artifactual component classification from MEG data using sup...

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Biomedical engineering International Conference (BMEiCON)

作者： Montri Phothisonothai Fang Duan Hiroyuki Tsubomi Aki Kondo Kazuyuki Aihara Yuko Yoshimura Mitsuru Kikuchi Yoshio Minabe Katsumi Watanabe Research Center for Advanced Science and Technology Department of Electrical Engineering and Information Systems University of Tokyo Tokyo Japan Institute of Industrial Science Collaborative Research Center for Innovative Mathematical Modelling University of Tokyo Tokyo Japan Faculty of Humanities University of Toyama Toyama Japan Kanazawa University Kanazawa Japan Research Center for Child Mental Development Graduate School of Medical Science Kanazawa University Kanazawa Japan

ISBN: (纸本)9781467348904

Recently, an independent component analysis (ICA) has been proven to be an effective method for removing artifacts and noise in multi-channel physiological measures. ICA can extract independent component (IC) which was directly regarded as artifacts. In this paper, we propose an automatic method for classifying physiological artifacts from magnetoencephalogram (MEG) data. The artifactual ICs were classified based on support vector machine (SVM) algorithm. The following parameters: kurtosis (K), probability density (PD), central moment of frequency (CMoF), spectral entropy (SpecEn), and fractal dimension (FD) were used as input vector of SVM. The proposed method showed the average classification rates of 99.18%, 92.33%, and 98.15% for cardiac (EKG), ocular (EOG), and high-amplitude changes (HAM), respectively.

关键词： Support vector machines Electrooculography Electrocardiography Noise Integrated circuits Independent component analysis Educational institutions

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A residential distributed-generating system with photovoltaic cells and hydrogen-storage type fuel cells and its operational scheme

A residential distributed-generating system with photovoltai...

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作者： Machida, Yuuki Funabiki, Shigeyuki Department of Electronic and Control Systems Engineering Interdisciplinary Faculty of Science and Engineering Shimane University 1060 Nishikawatsu-cho Matsue 690-8504 Japan

Output power in photovoltaic systems changes steeply with the change of the solar irradiance and overall PV temperature. The change of output power has influence on the electric power quality of the system. This paper proposes a novel operational scheme of the residential distributed power generation system using solar cells and hydrogen-storage type fuel cells. In order to level the output power which changes steeply the fuel cells are connected to the PV system in parallel. Thus the generated power of all the system can be leveled. However, the hydrogen is required in order to generate electricity by the fuel cells. Therefore, the electrolyzer which is hydrogen manufacturing equipment is installed in the system. It is confirmed by the simulation that the distributed power generation system operates according to the proposed operational scheme and its system is available for residential supplies. © 2011 The Institute of Electrical Engineers of Japan.

关键词： Fuel cells

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Multi-channel template extraction for automatic EEG spike detection

Multi-channel template extraction for automatic EEG spike de...

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IEEE/Institute of Complex Medical engineering International Conference on Complex Medical engineering

作者： Ji, Zhanfeng Sugi, Takenao Goto, Satoru Wang, Xingyu Nakamura, Masatoshi Department of Advanced Systems Control Engineering Saga University Saga Japan Department of Automation East China University of Science and Technology Shanghai China Research Institute of Systems Control Saga Japan

ISBN: (纸本)9781424493241

A multi-channel template extraction method is proposed for automatic EEG spike detection. The template is extracted automatically without any prior knowledge. The template extraction algorithm consists of three steps. Firstly, all possible spike events are detected. Secondly, the focus channels are identified for each event. Thirdly, the multi-channel template is extracted for each focus channel. The algorithm produces template adapted to not only individual patient, but also individual focus. The method was evaluated using the recordings from two epilepsy patients. The results suggested that template method should be of multi-channel for spike detection. © 2011 IEEE.

关键词： Extraction

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