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Simulation Modeling by Fuzzy Nets

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Journal of systems Engineering and Electronics 1993年第4期4卷 25-31页

作者： Xingui, He Beijing Inst of System Engineering Beijing China

Fuzzy technology is a newly developed discipline based on fuzzy mathematics. In the recent years, it has been successfully applied into many areas, such as process control, diagnosis, evaluation, decision making and scheduling, especially in simulation where accurate mathematical models can not or very hard be established. In this paper, to meet the demands of fuzzy simulation, two fuzzy nets will first be presented, which are quite suitable for modeling the parallel or concurrent systems with fuzzy behavior. Then, a concept of active simulation will be introduced, in which the simulation model not only can show its fuzzy behavior, but also has a certain ability which can actively perform many very useful actions, such as automatic warning, realtime monitoring, simulation result checking, simulation model self-adapting, error recovery, simulating path tracing, system states inspecting and exception handling, by a unified approach while some specified events occur. The simulation model described by this powerful simulation modeling tool is concurrently driven by a network interpreter and an event monitor that all can be implemented by software or hardware. Besides, some interesting applications are given in the paper.

关键词： Computer hardware Computer software Decision theory Fuzzy sets Mathematical models Monitoring parallel processing systems Petri nets Process control Random processes Scheduling

APPLICATION OF MVP IN REAL TIME IMAGE processing

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Chinese Journal of Aeronautics 2000年第1期13卷 30-33页

作者：戴擎宇杨占昕何佩琨 Department of Electrical Engineering Beijing Institute of Technology Beijing 100081 China

MVP is a digital signal processor, which is of MIMD structure and fit for multimedia application. MVP has several processors in it, and its operation is characteristic of parallelism and pipeline; therefore, real-time signal processing can be done on it. This paper presents the image processing system based on MVP, explains the principles of parallel task assignment and hardware pipeline design, and gives out the example of target tracking and edge detection.

关键词： Computer hardware Edge detection Image processing MIM devices Multimedia systems parallel processing systems Random access storage

parallel Distributed CFAR Detection Optimization Based on Genetic Algorithm with Interval Encoding

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Chinese Journal of Aeronautics 2010年第3期23卷 351-358页

作者：于泽周荫清北京航空航天大学电子信息工程学院

Aiming at parallel distributed constant false alarm rate （CFAR） detection employing K/N fusion rule,an optimization algorithm based on the genetic algorithm with interval encoding is proposed. N-1 local probabilities of false alarm are selected as optimization variables. And the encoding intervals for local false alarm probabilities are sequentially designed by the person-by-person optimization technique according to the constraints. By turning constrained optimization to unconstrained optimization,the problem of increasing iteration times due to the punishment technique frequently adopted in the genetic algorithm is thus overcome. Then this optimization scheme is applied to spacebased synthetic aperture radar （SAR） multi-angle collaborative detection,in which the nominal factor for each local detector is determined. The scheme is verified with simulations of cases including two,three and four independent SAR systems. Besides,detection performances with varying K and N are compared and analyzed.

关键词： parallel processing systems synthetic aperture radar detectors genetic algorithms optimization encoding