This article is a brief exposure of the process approach to a newly emerging area called "discrete event systems" in control theory and summarizes some of the recent developments in this area. Discrete event systems is an area of research that is developing within the interstices of computer, control and communication sciences. The basic direction of research addresses issues in the analysis an...

normal 0 false false false en-us x-none ar-sa microsoftinternetexplorer4 background: urban living and transition of illnesses, today has led hygienic centers for dedicating services to serious challenge management of an outpatient center is very difficult. worse is that the patient advice and service time is much less than waiting time. many people to avoid long waiting go to private treatment ...

this article proposes composition of fuzzy sets theory with discrete-event simulation and puts it into application in order to model uncertain activity duration in simulating a real-world system. the purpose of this paper is to assess the usefulness of fuzzy simulation for modeling uncertain activity duration, especially when insufficient or no sample data is available. in this research, fuzzy ...

Simulation is often used to solve problems in many areas in the form of problem analysis. Real time graphic applications such as videogames typically use a continuous simulation scheme. This operating scheme has disadvantages that can be avoided by using a discrete event simulator as the application kernel. This paper proposes the integration of a discrete event simulator into a real time graph...

During the past few years, a lot of work has been done on behavioral models and simulation tools. But a need for modeling strategy still remains. The VHDL-AMS language supports the description of analog electronic circuits using Ordinary Differential Algebraic Equations (ODAEs), in addition to its support for describing discrete-event systems. For VHDL-AMS to be useful to the analog design ...

With the growing use of computer modeling and simulation, in all aspects of engineering, the scope of traditional optimization has to be extended to include simulation models. Some unique aspects have to be addressed while optimizing via stochastic simulation models. The optimization procedure has to explicitly account for the randomness inherent in the stochastic measures predicted by the mode...

the purpose of this study is to examine different scenarios for implementing operations in the pre-construction phase of a project, based on several competing criteria with different importance levels in order to achieve a more efficient execution plan. this paper presents a new framework that integrates discrete event simulation (des) and data envelopment analysis (dea) to rank different scena...

A new methodology for the asynchronous discrete event-driven simulation of parallel computers is proposed. This methodology integrates sequential and distributed simulation in a unified paradigm and is applicable to the simulation of all classes of parallel computer architectures. In our own simulation work we accelerated simulations by more than an order of magnitude with parallel execution sp...

This paper presents a new distributed simulation methodology for hierarchical Discrete Event System Specification(DEVS) models. The DEVS formalism provides a formal basis for specifying discrete event models in a modular, hierarchical form. For distributed simulation of DEVS models, a synchronization mechanism is required to control the advance of simulation clocks. The proposed methodology emp...