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International Joint Conference on Neural Networks (IJCNN)

作者： T. Ishigaki T. Higuchi K. Watanabe Department of Statistical Science The Graduate University for Advanced Studies (SOKENDAI) Tokyo Japan System Control Engineering Department Hoxi University Tokyo Japan Prediction and Knowledge Discovery Research Center Research Organization of Information and Systems Tokyo Japan System Control Engineering Department Hosei University Tokyo Japan

Conventional sensors have been designed to minimize noise effects. Any sensor that is designed to detect a certain physical variable is influenced to a certain degree by other physical variables. This suggests that any sensor is potentially tap able of detecting multiple physical variables. In the present study, we consider sensing devices that are easily influenced by several physical variables and make full use of their multi-sensing characteristics through statistical signal processing and machine learning techniques with a wide variety of prior information. The proposed sensor design approach is completely different from the conventional approach with respect to system design and has advantages in terms of cost and system simplification compared to existing approaches. This new idea can be realized by developing a novel multiple-input/single-output sensor that can detect various variables such as pressure, acceleration, temperature and light emission by a single device. The sensor is applied to monitor the symptoms of tire, earthquake and break-in for the purpose of home security. The proposed security system consists of the following three steps: (1) detection of disaster by a probabilistic outlier detection procedure using an auto-regressive model, (2) disaster feature extraction by Kalman filter on a state space model, and (3) disaster classification by multiclass support vector machine.

关键词： Sensor systems Security Sensor phenomena and characterization Temperature sensors Signal processing Machine learning Costs Acceleration Monitoring Tires

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Modeling interactions in artificial transportation systems using petri net

Modeling interactions in artificial transportation systems u...

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International Conference on Intelligent Transportation

作者： Fenghua Zhu Zhixue Wang Fei-Yue Wang Shuming Tang Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China Program for Advanced Research Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA Key Laboratory for Complex Systems and Intelligence Science Chinese Academy and Sciences Beijing China Institute of Automation Shandong Academy of Sciences Jinan China

Agents and interactions between them are two key roles in modeling artificial transportation systems. This paper presents a formal theory to describe interactions between agents, which, together with the well developed models to describe components as agents, completes the first step towards establishing the formal structure for artificial transportation systems. By describing individual agents and the interactions between them as independent simple sequence processes and directive communication channels respectively, we models the whole system as one sequential communications system, which is one special type of Petri net. The theory is flexible enough to model diversified interactions between agents, and the resultant model possesses favorable properties. A case study of modeling road network has been conducted for the purpose of illustration

关键词： Transportation Intelligent systems automation Traffic control System testing Communication channels Communication systems Roads Electronic mail Costs

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Robust Super-Exponential Methods for Blind Deconvolution of MIMO-IIR systems with Gaussian Noise

Robust Super-Exponential Methods for Blind Deconvolution of ...

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Proceedings of 2006 IEEE International Symposium on Circuits and systems,Volume 7

作者： Kiyotaka Kohno Yujiro Inouye Mitsuru Kawamoto Department of Electronic and Control Systems Engineering Shimane University Matsue Shimane Japan Information Technology Research Institute National Institute of Advanced Industrial Science and Technology Tsukuba Ibaraki Japan

The so called ''super-exponential" methods (SEMs) are attractive methods for salving multichannel blind deconvolution problem. The conventional SEMs, however, have such a drawback that they are very sensitive to Gaussian noise. To overcome this drawback, the robust super-exponential method (RSEM) were proposed for single-input single-output infinite impulse response (SISO-IIR) channels and for multi-input multi-output (MIMO) static channels (instantaneous mixtures). While the conventional SEMs use the second- and higher-order cumulants of observations, the RSEM nses only the higher-order cumulants of observations. Since higher-order cumulants are insensitive to Gaussian noise, the RSEM is robust to Gaussian noise, We proposed an RSEM extended to the case of MIMO-IIR channels (convolutive mixtures). To show the validity of the proposed RSEM, some simulation results are presented.

关键词： Noise robustness Deconvolution Gaussian noise MIMO Independent component analysis Signal processing Robust control Industrial electronics Centralized control control systems

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A Review on Vision-Based Pedestrian Detection for Intelligent Vehicles

A Review on Vision-Based Pedestrian Detection for Intelligen...

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IEEE International Conference on Vehicular Electronics and Safety (ICVES)

作者： Zhenjiang Li Kunfeng Wang Li Li Fei-Yue Wang Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China Advanced Research in Complex Systems Department Of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA Key Laboratory for Complex Systems and Intelligence Science Chinese Academy and Sciences Beijing China

Vision-based pedestrian detection techniques for smart vehicles have emerged as a hot research topic in the field of vehicular electronics and driving safety. A vision-based system can recognize pedestrians in front of the moving vehicle, then warns the driver of the dangerous situation loudly or slows the vehicle down automatically to protect both drivers and pedestrians. In general, the vision-based pedestrian detection process can be divided into three consecutive steps: pedestrian detection, pedestrian recognition, and pedestrian tracking. In this paper, a great variety of methods associated with these three steps is introduced and compared in detail. In addition, the implementation of vision-based pedestrian detection on vehicles is also presented. In the end, we analyze the difficulties and the research trend in the future.

关键词： Vehicle detection Intelligent vehicles Vehicle driving Vehicle safety Driver circuits Protection Road accidents Radar detection Vehicular and wireless technologies Microwave sensors

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An Urban Traffic control System Based on Mobile Multi-Agents

An Urban Traffic Control System Based on Mobile Multi-Agents

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IEEE International Conference on Vehicular Electronics and Safety (ICVES)

作者： Zhenjiang Li Fei-Yue Wang Qinghai Miao Feng He Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA Key Laboratory for Complex Systems and Intelligence Science Chinese Academy and Sciences Beijing China

This paper presents an urban traffic control system using the multi-agent technology, called aDAPTS for agent-based Distributed and Adaptive Platform for Transportation systems. Based on the proposed system architecture, we divide an urban traffic system into five different functional modules and define five types of agents correspondingly. The composition and structure of each agent is discussed in detail and the correlation among them is addressed. Methods for verification and validation in artificial transportation systems are also studied in this paper.

关键词： Traffic control control systems Distributed control Transportation Intelligent agent Automatic control Hardware Environmental management Artificial intelligence Helium

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Eigenvector algorithms using reference signals for blind source separation of instantaneous mixtures

Eigenvector algorithms using reference signals for blind sou...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： M. Kawamoto K. Kohno Y. Inouye IBMC Research Center RIKEN Nagoya Japan National Institute for Advanced Industrial Science and Technology Tsukuba Ibaraki Japan Department of Electronic and Control Systems Engineering Shimane University Matsue Shimane Japan

This paper presents an eigenvector algorithm (EVA) derived from a criterion using reference signals, in which the EVA is applied to the blind source separation (BSS) of instantaneous mixtures. The proposed EVA works such that source signals are simultaneously separated from their mixtures. This is a new result, which has not been clarified by the conventional researches. Moreover, by modifying the criterion, the corresponding EVA which is robust to Gaussian noise is derived. Simulation results show the validity of the proposed EVAs

关键词： Blind source separation Source separation Filters MIMO Gaussian noise Electrical equipment industry Electronics industry Industrial control Industrial electronics Centralized control

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Three-phase control for Miniaturization of a Snake-like Swimming Robot

Three-phase Control for Miniaturization of a Snake-like Swim...

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IEEE International Conference on Robotics and Biomimetics

作者： Jonathan Rossiter Boyko Stoimenov Yoshihiro Nakabo Toshiharu Mukai Bio-mimetic Control Research Center Institute for Physical and Chemical Research Nagoya Japan Department ofEngineering Mathematics University of Bristol Bristol UK Safety Intelligence Research Group Intelligent Systems Institute National Institute for Advanced Industrial Science and Technology Tsukuba Japan

We present the design and control of a soft undulating snake-like swimming robot that can be miniaturized down to the millimeter scale. We consider the miniaturization of an ionic polymer metal composite (IPMC) robot with respect to Reynolds number and propose biologically inspired undulating motion as a suitable swimming mechanism that can scaled down in excess of three orders of magnitude. We examine the control system needed to generate this undulating motion and take inspiration from poly-phase electrical power delivery systems to greatly simplify the control system, while maintaining the ability to move forwards and backwards and to turn. As a result of the simplified three-phase control we can further simplify the structure of the robot and make miniaturization more practical.

关键词： control systems Animals Intelligent robots Actuators Scalability Service robots Chemical industry Chemical technology Polymers Motion control

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Stereo Vision based Relative Pose and Motion Estimation for Unmanned Helicopter Landing

Stereo Vision based Relative Pose and Motion Estimation for ...

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International Conference on Information and automation (ICIA)

作者： Cui Xu Liankui Qiu Ming Liu Bin Kong Yunjian Ge Department of Automation University of Science and Technology Hefei Anhui China Center for Biomimetic Sensing and Control Research Institute of Intelligent Machines Chinese Academy and Sciences Hefei Anhui China Department of Electrical and Computer Systems Engineering Monash University Melbourne VIC Australia

In this paper, we present a real-time stereo vision based pose and motion estimation system that will be used for landing an unmanned helicopter on a moving target such as a ship deck. The vision algorithm mainly consists of a feature extraction task and a pose and motion estimation task. The 2D planer target with regular features defined can significantly simplify the feature extraction task such as corner detection and feature points matching. To effectively estimate the distance between the camera carrier and target a stereo camera system is applied. By means of sub-pixel corner location the precisions of pose estimation and relative motion detection can be improved. We present results from semi-physical simulation which show that our vision algorithm is accurate and robust. The methodology provides an effective subsystem for the development of autonomous robot helicopter that will land on a given target under the guide of vision.

关键词： Stereo vision Motion estimation Helicopters Feature extraction Cameras Robot vision systems Real time systems Marine vehicles Metalworking machines Computer vision

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Estimation of current density distributions from EEG/MEG data by maximizing sparseness of spatial difference

Estimation of current density distributions from EEG/MEG dat...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： W. Nakamura S. Koyama S. Kuriki Y. Inouye Laboratory for advanced brain signal processing Brain Science Institute RIKEN Japan Department of electronic and control systems engineering Interdisciplinary faculty of science and engineering Shimane university Japan Lab of electromagnetic sensing Research Institute for electronic science Hokkaido university Japan

Separation of EEG (electroencephalography) or MEG (magnetoencephalography) data into activations of small dipoles or current density distribution is an ill-posed problem in which the number of parameters to estimate is larger than the dimension of the data. Several constraints have been proposed and used to avoid this problem, such as minimization of the L1-norm of the current distribution or minimization of Laplacian of the distribution. In this paper, we propose another constraint that the current density distribution changes at only a small number of areas and these changes can be large. By numerical experiments, we show that the proposed method estimates current distribution well from both data generated by strongly localized current distributions and data generated by currents broadly distributed

关键词： Current density Neurons Electroencephalography Current distribution Data engineering Brain modeling Data analysis control systems systems engineering and theory Signal processing

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Walker detection in outdoor scenes using spatial-temporal feature analysis of variation regions

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systems and Computers in Japan 2006年第7期37卷 37-46页

作者： Haga, Tetsuji Sumi, Kazuhiko Yagi, Yasushi Advanced Technology R and D Center Mitsubishi Electric Corp. Amagasaki 661-8661 Japan Graduate School of Informatics University of Kyoto Kyoto 606-8501 Japan Institute of Scientific and Industrial Research Osaka University Ibaraki 567-0047 Japan Mitsubishi Electric Corp. Industrial Systems Research Group Advanced Technology R and D Center Information Processing Society of Japan Information Science Research Group Graduate School University of Kyoto Department of Industrial Science Research IEEE Society of Instrument and Control Engineers of Japan Robotics Society of Japan

We propose an image processing algorithm to detect walkers in outdoor images containing movement in the background such as swaying trees or irregular reflections from water. Previously proposed methods to detect walkers focus on the fact that locally distributed movement is reinforced along a spatial and temporal path marked out by an object such as a human that moves at approximately a constant speed and in a straight line while other background movement tends to cancel itself out. However, false alarms can occur with methods that are based on the time-averaged strength of movement due to mistaken associations between moving objects and the fact that temporary movement in high-contrast areas can significantly raise the average value. In our method we use features based on a spatially averaged strength of movement and the uniformity of movement over time in addition to the time-averaged strength of movement, attempting to distinguish walkers from background movement within a feature space made up of these three features. In experiments with real images we have confirmed that the proposed method can reduce the rate of both false positives and false negatives compared to a method that focuses only on the time-averaged strength of movement. In addition, we have constructed an on-line system to implement the proposed method and the results of evaluation experiments conducted in a real-life environ ment over a period of two weeks show that we were able to obtain a level of performances in which the failure rate was less than 1 percent and false alarms occurred less than three times per day. © 2006 Wiley Periodicals. Inc.

关键词： Image processing

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