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IEEE International Conference on Control System, computing and Engineering (ICCSCE)

作者： W.L. Khong W.Y. Kow Y.K. Chin I. Saad K.T.K. Teo Modelling Simulation and Computing Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

Vehicle tracking is a vital approach to assist the on-road traffic surveillance system. Since the on-road vehicles is increasing, occlusion and overlapping of vehicles is often happen in the traffic surveillance scene. Therefore, segmentation and tracking of the occlusion or overlapped vehicle can be a challenging task in surveillance system via image processing. In this paper, a multiple cues overlapping vehicle tracking algorithm is proposed to continuously track the occluded vehicle effectively. The earlier vehicle tracking systems are normally based on colour feature which will leads to inaccurate results when the background colour is complex or too similar with the target vehicle. On the other hand, shape feature will increase the accuracy but consume more computation time in the resampling process during overlapping. The experimental results show that enhancement of the particle filter resampling process with multiple cues is capable to track the overlapped vehicle with higher accuracy and without compromising the processing time.

关键词： Vehicles Color Target tracking Shape Particle filters Histograms Accuracy

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CUSUM-Variance Ratio based Markov Chain Monte Carlo algorithm in overlapped vehicle tracking

CUSUM-Variance Ratio based Markov Chain Monte Carlo algorith...

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International Conference on Computer Applications and Industrial Electronics (ICCAIE)

作者： W.Y. Kow W.L. Khong Y.K. Chin I. Saad K.T.K. Teo Modelling Simulation and Computing Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

Markov Chain Monte Carlo (MCMC) is one of the algorithms that have been widely implemented in tracking vehicle for traffic surveillance purposes. The sampling efficiency of the algorithm is essential to determine the vehicle position accurately. However, the sample size of the algorithm is still remaining an issue as non-optimal sample size will defect the tracking accuracy, especially when the moving vehicle is overlapped. Adaptive sample size of MCMC has been implemented using CUSUM Path Plot and Variance Ratio algorithms to perform vehicle tracking. CUSUM Path Plot determines the samples convergence rate by calculating the hairiness of the sample size whereas Variance Ratio method computes two sets of MCMC to determine the samples steady state. This paper proposes the fusion of CUSUM-Variance ratio algorithm to enhance the tracking efficiency. Experimental results shows that the CUSUM-Variance Ratio method have a better performance in tracking the overlapping vehicle with higher accuracy and more optimal sample size compared to the standalone CUSUM Path Plot and Variance Ratio approaches.

关键词： Vehicles Target tracking Convergence Indexes Accuracy Silicon Algorithm design and analysis

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Multiple intersections traffic signal timing optimization with genetic algorithm

Multiple intersections traffic signal timing optimization wi...

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IEEE International Conference on Control System, computing and Engineering (ICCSCE)

作者： Y.K. Chin K.C. Yong N. Bolong S.S. Yang K.T.K. Teo Modelling Simulation and Computing Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

Traffic congestion in the urban area occurs more frequent than the past due to rapidly increasing on road vehicle usage rates. It could seriously hinder the development of urban area if a well management system has not being established. These scenarios necessitate the development of advance traffic management systems to increase the performance of signalized intersection. Traffic signal timing management (TSTM) system which comprise of genetic algorithm based optimization is proposed. Using a proper TSTM system, network traffic flow can be improved with considerably less cost than other infrastructural improvements. The proposed genetic algorithm based optimization approach allows signal timing parameters such as offset, cycle time, green split and phase sequence to be optimized with objective of minimum delay and better traffic fluency. The proposed GATSTM system has the ability to handle and manage the dynamic changes of the traffic networks condition by calibrating the system parameters accordingly.

关键词： Timing Genetic algorithms Vehicles Biological cells Optimization Traffic control

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Kernel-based object tracking via particle filter and mean shift algorithm

Kernel-based object tracking via particle filter and mean sh...

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International Conference on Hybrid Intelligent Systems (HIS)

作者： Y. S. Chia W. Y. Kow W. L. Khong A. Kiring K. T. K. Teo Modelling Simulation and Computing Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

One of the critical tasks in object tracking is the tracking of fast-moving object in random motion, especially in the field of machine vision applications. An approach towards the hybrid of particle filter (PF) and mean shift (MS) algorithm in visual tracking is proposed. In this proposed system, complete occlusion and random movement of object can be handled due to its ability in predicting the object location with adaptive motion model. In addition, the PF is capable to maintain multiple hypotheses to handle clutters in background and temporary failure. However PF requires a large number of particles to approximate the true posterior of the target dynamics. Therefore, MS algorithm is applied to the sampling process of the PF to move these particles in gradient ascent direction. Consequently a small sample size will be sufficient to represent the system dynamics accurately. The proposed approach is aimed to track the moving object in random directions under varying conditions with acceptable computational time.

关键词： Target tracking Kernel Image color analysis Adaptation models Particle filters Histograms

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Assessment of student preparation for discrete event simulation courses

Assessment of student preparation for discrete event simulat...

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simulation Winter Conference

作者： L. Chwif M.R.P. Barretto R.J. Paul Department of Industrial Engineering Mauá School of Engineering Sao Caetano do Sul Brazil Mechatronics Laboratory University of São Paulo Sao Paulo Brazil Centre for Applied Simulation Modelling Department of Information Systems and Computing Brunei University Uxbridge Middlesex UK

Over the past years, there has been a growth in simulation courses both at undergraduate and postgraduate levels. A discrete event simulation course, as with any non-basic course, has some prerequisites that must be satisfied by students before attending classes. Statistics, computer programming and modeling are the most important, together with knowledge on the specific field being simulated (manufacturing, logistics, etcetera). Are students sufficiently prepared to follow a course on simulation? This work is related to the construction, application and analysis of an assessment instrument to evaluate student prerequisite knowledge for a discrete event simulation course. The proposed questionnaire was given to the 5/sup th/ year engineering students at the beginning of our first year (72 hours) discrete event simulation introductory course at Maua School of Engineering. The results obtained show the importance of making an assessment evaluation in order to improve the quality of simulation learning.

关键词： Discrete event simulation Computational modeling Statistics Programming Computer simulation Computer aided manufacturing Virtual manufacturing Logistics Application software Instruments

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On simulation model complexity

On simulation model complexity

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simulation Winter Conference

作者： L. Chwif M.R.P. Barretto R.J. Paul Mechatronics Laboratory University of São Paulo Sao Paulo Brazil Centre for Applied Simulation Modelling Department of Information Systems and Computing Brunei University Middlesex UK

Nowadays the size and complexity of models is growing more and more, forcing modelers to face some problems that they were not accustomed to. Before trying to study ways to deal with complex models, a more important and primary question to explore is, is there any means to avoid the generation of complex models? The primary purpose of this paper is to discuss several issues regarding the complexity of simulation models, summarizing the findings in this area so far, and calling attention to this area that, despite its importance, appears to remain at the bottom of simulation research agendas.

关键词： Computational modeling Computer simulation Mechatronics Information systems Computer performance Project management Resource management Time factors Software performance Animation

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simulation optimization with the linear move and exchange move optimization algorithm

Simulation optimization with the linear move and exchange mo...

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simulation Winter Conference

作者： M.R.P. Barretto L. Chwif T. Eldabi R.J. Paul Mechatronics Laboratory University of Sao Paulo Sao Paulo Brazil Centre For Applied Simulation Modelling Department of Information Systems And Computing Brunei University Uxbridge Middlesex UK

The linear move and exchange move optimization (LEG) is an algorithm based on a simulated annealing algorithm (SA), a relatively recent algorithm for solving hard combinatorial optimization problems. The LEO algorithm was successfully applied to a facility layout problem, a scheduling problem and a line balancing problem. We try to apply the LEO algorithm to the problem of optimizing a manufacturing simulation model, based on a steelworks plant. This paper also demonstrates the effectiveness and versatility of this algorithm. We compare the search effort of this algorithm with a genetic algorithm (GA) implementation of the same problem.

关键词： Computational modeling Input variables Computer simulation Low earth orbit satellites Optimization methods Constraint optimization Simulated annealing Mechatronics Scheduling algorithm Job shop scheduling

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PARALLEL AND DISTRIBUTED TLM COMPUTATION WITH SIGNAL-PROCESSING FOR ELECTROMAGNETIC-FIELD MODELING

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INTERNATIONAL JOURNAL OF NUMERICAL modelling-ELECTRONIC NETWORKS DEVICES AND FIELDS 1995年第3-4期8卷 169-185页

作者： SO, PPM ESWARAPPA, C HOEFER, WJR NSERC/MPR Teltech Research Chair in RF Engineering Department of Electrical and Computer Engineering University of Victoria Victoria British Columbia V8W 3P6 Canada Poman So received his B.Sc. degree in computer science and physics from the University of Toronto Toronto Onatario Canada in 1985. He obtained his B.A. Sc. and M.A.Sc. degrees in electrical engineering (summa cum laude) from the University of Ottawa Ottawa Ontario Canada in 1987 and 1989 respectively. Mr So was a research engineer in the University of Ottawa from January 1989 to October 1991 his research interests included CAD techniques of microwave circuits and numerical methods for electromagnetic wave modelling. He specialized in the development of electromagnetic engineering CAD software and successfully implemented a number of electromagnetic wave simulators based on the two-dimensional and three-dimensional transmission-line matrix methods. From August 1990 to February 1991 he accompanied Professor W. J. R. Hoefer to Rome Italy and Sophia Antiopolas France. During that time he implemented a parallel version of the 3D-TLM simulator for the CM-2 Connection Machine using C-Star and X Windows Library. He is a research engineer and a Ph.D. student at the University of Victoria Victoria British Columbia Canada. He ported the 2D- and 3D-TLM simulators to DECmpp 1200 massively parallel computer using MPL C and C++. He also combined OSA90/hope a commercially available microwave CAD program with a 2D-TLM simulation module for geometry optimization using the Datapipe technique of OSA90/hope. Recently he has developed a distributed client-server computing technique for the TLM method this technique could accelerate the TLM simulation by more than an order of magnitude. Channabasappa Eswarappa received the M.Tech. degree in electrical engineering from the Indian Institute of Technology Kanpur India in 1983 and Ph. D. degree from the University of Ottawa Canada in 1990. He worked as an Assistant Executive Engineer and later as

This paper describes the implementation of transmission-line matrix (TLM) method algorithms on a massively parallel computer (DECmpp 12000), the technique of distributed computing in the UNIX environment, and the combination of TLM analysis with Prony's method as well as with autoregressive moving average (ARMA) digital signal processing for electromagnetic field modelling. By combining these advanced computation techniques, typical electromagnetic field modelling of microwave structures by TLM analysis can be accelerated by a few orders of magnitude.

关键词： Mathematical models

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