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Canadian Conference on Electrical and Computer engineering (CCECE)

作者： Zeng-Guang Hou Min Tan M.M. Gupta P.N. Nikiforuk N. Homma Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China Intelligence Systems Research Laboratory College of Engineering University of Saskatchewan Saskatoon SAS Canada School of Health Sciences Faculty of Medicine University of Tohoku Sendai Japan

Neural networks, including support vector machines (SVMs), and principal component analysis (PCA) etc., and their applications have received increasing attentions from many fields such as information processing and systems control. In this paper, we study some useful features of the neural networks, support vector machines and principal component analysis, and apply these methods to the information processing, localization and navigation problems of mobile robots on the basis of the information acquired with multiple sensors, such as visual, ultrasonic and infrared sensors. A Hopfield-type neural network scheme is proposed for real-time optimization and navigation applications. To recognize the doorplate numbers and human faces, support vector machine is proposed for the vision system of the mobile robot. The principal component analysis network is used to process the data acquired by the ultrasonic and infrared sensors to obtain the location and orientation information of the robot. The principal component network can also give feasible directions for movements

关键词： Neural networks Navigation Mobile robots Principal component analysis Support vector machines Infrared sensors Information processing Process control Control systems Motion planning

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New Gaussian mixture state estimation schemes for discrete time hybrid Gauss-Markov systems

New Gaussian mixture state estimation schemes for discrete t...

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American Control Conference (ACC)

作者： R.J. Elliott F. Dufour W.P. Malcolm Haskayne School of Business Seurfield Hall University of Calgary Calgary AB Canada Mathematiques Appliquees de Bordeaux Universite Bordeaux 1 Talence France National ICT Australia (NICTA) Systems Engineering and Complex Systems Research School of Information Sciences and Engineering Australian National University of Canberra ACT Australia

In this article we compute state and mode estimation algorithms for discrete-time Gauss-Markov models whose parameter-sets switch according to a known Markov law. Our algorithms are distinct from extant methods, such as the so called interacting multiple model algorithm (IMM) and sequential Monte Carlo methods, in that they are based on exact hybrid filter dynamics. The fundamental difficulty in estimation of jump Markov systems, is managing the geometrically growing history of candidate hypotheses. In our scheme, we address this issue by proposing an extension of an idea due to Viterbi. Our scheme maintains a fixed number of candidate paths in a history, each identified by an optimal subset of estimated mode probabilities. We compute a finite dimensional sub-optimal filter, which estimates the hidden state process and the mode probability. A computer simulation is provided.

关键词： State estimation Gaussian processes Filters Switches History Viterbi algorithm Filtering Australia Computer simulation Maximum likelihood estimation

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The effect of solution treatments, cooling rates, and natural aging times on the mechanical properties of 6061-T4 aluminum

The effect of solution treatments, cooling rates, and natura...

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59th Meeting of the Society for Machinery Failure Prevention Technology: Essential Technologies for Successful Prognostics

作者： Cullip-Brennan, P. Ordonez-Chu, A. Villalobos, E. Lee, E. McLennan, J. Clark, R. Ogren, J. Es-Said, O.S. National Science Foundation Research Experience for Undergraduate Program Mechanical Engineering Department Loyola Marymount University Los Angeles CA 90045 United States NAVAIR Code 4342 MS Building 2188 Patuxent River MD 20670-1908 United States Boeing Satellite Systems Inc. 2260 E. Imperial Hwy. EI Segundo CA 90245 United States

The influence of varying the thermal processing parameters on the physical and mechanical properties of 6061-T4 aluminum alloy was studied. The variables altered were solution treatment temperatures, quenching media and natural aging durations. The influence of varying these parameters on the tensile strength, electrical resistivity and hardness of the alloy is discussed and correlated.

关键词： Hardness

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Congestion management via international dynamic flight list and customer submitted multiple routing option

Congestion management via international dynamic flight list ...

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AIAA 5th Aviation Technology, Integration, and Operations Conference, ATIO and the AIAA 16th Lighter-than-Air systems Technology Conference and Balloon systems Conference

作者： Klopfenstein, Mark W. Wilmouth, Gretchen Smith, Philip J. Spencer, Amy Jon Mintzer, M. Sud, Ved Matron Aviation Inc. Herndon VA 20170 Ohio State University Columbus OH 43210 Cognitive Systems Engineering. Inc. Ostrander OH 43061 Metron Aviation. Inc. Herndon VA 20170 Federal Aviation Administration Washington DC 20591 Research and Concept Development Metron Aviation Inc. 131 Eiden St Herndon VA 20170 AIAA Industrial and Systems Engineering Program Ohio State University 210 BE 1971 Neil Ave Columbus OH Aviation System Development 7197 Calhoun Rd Ostrander OH 43061 SME Advance Research Metron Aviation Inc. 131 Eiden St Herndon VA 20170 TFM Research Air Traffic Organization System Operations Programs 800 Independence Avenue. S.W Washington DC 20591

ISBN: (纸本)1563477408

We propose a new concept for managing en route congestion that allows NAS customers to submit prioritized lists of alternative routing options for their (lights, and provides traffic managers with a tool that algorithmically takes these customer preferences into consideration as it assigns reroutes and delays to (lights subject to traffic flow constraints .set by the traffic managers. This concept has the potential to reduce the workload of traffic managers, while allowing them liner control over traffic in uncertain weather situations, and giving NAS customers greater flexibility to operate their flights according to their business priorities. Perhaps one of the most significant benefits is the ability to recapture system capacity that is currently lost when severe weather (or other capacity limiting factors) does not materialize as predicted. This is due to the system "remembering" a flight's original routing preference. Presently this concept is being evaluated through a series of Storyboards, simulations and human in the loop exercises with operational personnel from the airlines, business aviation, and traffic management communities. Copyright © 2005 by Metron Aviation. Inc.

关键词： Air traffic control

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DIRECT ROBUST ADAPTIVE NONLINEAR CONTROL with DERIVATIVES ESTIMATION

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IFAC Proceedings Volumes 2005年第1期38卷 229-234页

作者： D.V. Efimov I.Yu. Tyukin Control of Complex Systems Laboratory Institute of Problem of Mechanical Engineering Bolshoi av. 61 V.O. St-Petersburg 199178 Russia Laboratory for Perceptual Dynamics RIKEN (Institute for Physical and Chemical Research) Brain Science Institute 2-1 Hirosawa Wako-shi Saitama 351-0198 Japan

In this paper we propose a novel adaptive control algorithm which allows to handle the issues of detectability, robustness and transient performance of adaptive systems. The controller structurally is similar to that of Panteley et al (2002). It is designed, however, on the grounds of rather different philosophy – estimation of the derivatives of plant state. In addition to systems which can be rendered to be asymptotically stable by means of the state feedback, plants satisfying assumption of partial asymptotic stability are considered.

关键词： adaptive control robustness persistent excitation

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ONLINE TRAFFIC LIGHT CONTROL THROUGH GRADIENT ESTIMATION USING STOCHASTIC FLUID MODELS

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IFAC Proceedings Volumes 2005年第1期38卷 90-95页

作者： Christos G. Panayiotou William C. Howell Michael Fu Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Department of Mathematics Applied Mathematics Scientific Computation Program University of Maryland College Park MD 20742 USA Smith School of Business and Institute for Systems Research University of Maryland College Park MD 20742 USA

In this paper, we consider the problem of dynamically regulating the timing of traffic light controllers in busy cities. We use a Stochastic Fluid Model (SFM) to model the dynamics of the queues formed at an intersection. Based on this model, we derive gradients of the queue lengths with respect to the green/red light lengths within a signal cycle. We report preliminary numerical results comparing the performance of the estimates with finite-difference and smoothed perturbation analysis estimates. Then all estimators are used to optimize the traffic system via Stochastic Approximation.

关键词： Traffic control perturbation analysis stochastic approximation

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Appointments for 2005-2006 term

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IEEE Transactions on Very Large Scale Integration (VLSI) systems 2005年第7期13卷 773-782页

作者： Ranganathan, Nagarajan Agrawal, Vishwani D. Chakradhar, Srimat T. Chakrabarty, Krishnendu Courtois, Bernard DeMara, Ronald Hu, Xiaobo Sharon Ismail, Yehea I. Jha, Niraj K. John, Lizy Kurian Ker, Ming-Dou Koren, Israel Liu, Bin-Da Marculescu, Diana Marculescu, Radu Narayanan, Vijaykrishnan Nassif, Sani R. Nowick, Steven M. Sapatnekar, Sachin S. Sherlekar, Sunil Sylvester, Dennis Vemuri, Ranga Pham, Michael Department of Computer Science and Engineering University of South Florida Tampa FL 33620 United States Department of Computer Science and Engineering Nanomaterials and Nanomanufacturing Research Center University of South Florida Tampa United States IEEE United States Systems United States Department of Electrical and Computer Engineering Rutgers University New Brunswick NJ United States IETE India ACM NEC Laboratories America Inc. Princeton NJ United States Duke University Durham NC United States ACM SIGDA Sigma Xi United States Laboratory of Techniques of Informatics and Microelectronics for Computer Architectecture ASME IMAPS IEEE Computer Society University of Central Florida Orlando United States Computer Engineering Program SEECS Department of Computer Science and Engineering University of Notre Dame Notre Dame IN United States Northwestern University Evanston IL United States Department of Electrical Engineering Princeton University Princeton NJ United States Association for Computing Machinery Austin United States UT Austin Engineering Foundation United States Department of Electronics Engineering National Chiao-Tung University Taiwan Department of Electrical and Computer Engineering University of Massachusetts Amherst United States Department of Electrical Engineering Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States Electrical and Computer Engineering Faculty Carnegie Mellon University Pittsburgh PA United States Computer Science and Engineering Department Pennsylvania State University University Park United States IBM Austin Research Laboratory Austin TX United States Columbia University New York NY United States Department of Electrical and Computer Engineering University of Minnesota Minneapolis United States Tata Consultancy Services Centre of Excellence for Embedded Systems India Department of Electrical Engineering IIT Bombay India Department of Electrical Engineering Uni

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Coping with trial-to-trial variability of event related signals: A Bayesian inference approach

Coping with trial-to-trial variability of event related sign...

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European Signal Processing Conference (EUSIPCO)

作者： Mingzhou Ding Kevin Knuth Yonghong Chen Steven L. Bressler Charles E. Schroeder Department of Biomedical Engineering University of Florida Gainesville FL USA NASA Ames Research Center Moffett Field CA USA Center for Complex Systems and Brain Sciences Florida Atlantic University Boca Raton FL USA Nathan Kline Institute Orangeburg NY USA

In electroneurophysiology, single-trial brain responses to a sensory stimulus or a motor act are commonly assumed to result from the linear superposition of a stereotypic event-related signal (e.g. the event-related potential or ERP) that is invariant across trials and some ongoing brain activity often referred to as noise. To extract the signal, one performs an ensemble average of the brain responses over many identical trials to attenuate the noise. To date, this simple signal-plus-noise (SPN) model has been the dominant approach in cognitive neuroscience. Mounting empirical evidence has shown that the assumptions underlying this model may be overly simplistic. More realistic models have been proposed that account for the trial-to-trial variability of the event-related signal as well as the possibility of multiple differentially varying components within a given ERP waveform. The variable-signal-plus-noise (VSPN) model, which has been demonstrated to provide the foundation for separation and characterization of multiple differentially varying components, has the potential to provide a rich source of information for questions related to neural functions that complement the SPN model. Thus, being able to estimate the amplitude and latency of each ERP component on a trial-by-trial basis provides a critical link between the perceived benefits of the VSPN model and its many concrete applications. In this paper we describe a Bayesian approach to deal with this issue and the resulting strategy is referred to as the differentially Variable Component Analysis (dVCA).We compare the performance of dVCA on simulated data with Independent Component Analysis (ICA) and analyze neurobiological recordings from monkeys performing cognitive tasks.

关键词： Brain modeling Visualization Mathematical model Bayes methods Noise Detectors Standards

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FOREWORD

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International Journal of Foundations of Computer Science 2005年第1期16卷 1-2页

作者： JACIR L. BORDIM KOJI NAKANO ARNOLD L. ROSENBERG ATR Adaptive Communications Research Laboratories 2-2-2 Hikaridai Seika-cho Soraku-gun Kyoto 619-0288 Japan Department of Artificial Complex Systems Engineering School of Engineering Hiroshima University 1-4-1 Kagamiyama Higashi-Hirhoshima 739-8527 Japan Department of Computer Science University of Massachusetts Amherst Amherst MA 01003-9264 USA

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Evolutionary systems: Modelling organisational innovation

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Innovation 2005年第4期7卷 389-401页

作者： Dr James S. Baldwin[a] Peter M. Allen Professor Head[b] Keith Ridgway Professor Director[c] Dr Belinda Winder[d] [a] Lecturer Strategic Management School of Management University of Sheffield Sheffield United Kingdom[b] Complex Systems Management Centre School of Management Cranfield University Bedford United Kingdom[c] Advanced Manufacturing Research Centre with Boeing Department of Mechanical Engineering University of Sheffield Sheffield United Kingdom[d] Senior Lecturer Department of Psychology Nottingham Trent University Nottingham United Kingdom

SummarySummaryThe aim of this paper is to present the results of combining two complementary areas of research. The first area is manufacturing cladistics, a classification system where best practice can be mapped allowing organisations to locate their position in evolution, the position of competitors and the chance to re-engineer their organisation using the classification as a guide. The second area is evolutionary systems modelling, which has successfully been applied to ecosystems, urban systems, industrial networks, economics and financial markets. Using an evolutionary framework, designed to model through simulation the evolution of manufacturing form, new structural organisations may be explored. In addition, organisational innovation and the consequences of particular decisions in the context of introducing new technologies and practices to the existing structure may also be investigated.

关键词： evolutionary systems modelling evolutionary systems simulation manufacturing cladistics organisational structures organisational innovation management commitment

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