• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.4
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• pp.125-132
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• 2004

Computer simulation is widely known as a very powerful and practical tool to understand behaviors of considered systems and evaluate design alternatives. However, to use simulation technologies, one should acquire simulation languages, statistics, etc. Also, lots of resources such as time and money are necessary to develop models and analyze statistical data. These obstacles prevent one from adopting simulation tools easily. This paper presents practical guidelines for successful application of simulation. Firstly, we propose how to acquire simulation tools to help one who is going to use simulation techniques. Next guidelines are for introducing simulation software set including simulation and support softwares. Lastly, guidelines for simulation project management are presented.

• International Journal of Contents
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• v.17 no.3
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• pp.38-47
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• 2021

The purpose of this study was to analyze the effectiveness of integrated simulations conducted by virtual simulation and in situ simulation among nursing college students during COVID-19. This study was conducted from July 7 to 9, 2020 and the participants included 126 fourth-year nursing college students. Integrated simulation consisted of virtual simulation, teledebriefing, pre-briefing, in situ simulation, and debriefing. The results showed that after the use of various simulation modules and the training of integrated simulations incorporating virtual and in situ simulation training, critical thinking (t=5.20, p=<0.001), clinical judgment (t=6.71, p=<0.001), and simulation effectiveness (t=3.53, p=0.001). These findings could help establish the direction for more diverse forms of simulation-based education and it should be conducted in future nursing simulation during this COVID-19 pandemic era.

• Journal of the Korean Society for Precision Engineering
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• v.12 no.5
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• pp.136-148
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• 1995

In this study, a model integration method is pressented as a new method for development of a parametric simulation model. This method enable us to integrate the special simulation models for each production subsystem into a large simulation model. Not only this large simulation model but also each special simulation model for each production subsytem can be used independently. Using this integration method man can reduce the development time and cost for simulation model development. To show the usefulness of this method, a simulation model for a production system with robots is developed by this model integration method. This simulation model is realized by the integration of two special simulation models, one model for a machining subsystem and the other model for a transport subsystem. The modeled production system consists of the robotic cells for machining and a transport subsystem which enable the material flow among the robotic cells. The flow of workpiece in each robotic cell is not fixed. All machines in a robotic cell are only served by robots.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.1033-1039
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• 2005

Parallel and distributed simulation is concerned with the efficient execution of large-scale discrete event simulation models on multiprocessors and distributed platforms. After the development of WWW, many efforts in the parallel and distributed simulation have been made for modeling, particularly building simulation languages and creating model libraries that can be assembled and executed over WWW. However, web-based parallel and distributed simulation is restricted by heterogeneous computing environments. Recently, the advent of XML and web services technology has made these efforts enter upon a new phase. Especially, the web services as a distributed information technology have demonstrated powerful capabilities for scalable interoperation of heterogeneous systems. This paper aims to develop and evaluate the parallel and distributed simulation using the web services technology. In particular, a prototype multi-pass simulation framework is implemented using Java-based web services technology. It focuses on the efficiency of multi-pass simulation used for optimization through the distribution of simulation replication to several simulation service providers. The development of parallel and distributed simulation using web services will help solve efficiently large-scale problems and also guarantee interoperability among heterogeneous networked systems.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.11
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• pp.2966-2977
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• 1996

As design of very large circuits is made possible by rapid development of VLSI technologies, efficient fault simulation is needed. Ingeneral, fault simulation requires many computer resources. As general-purpose multiprocessors become more common and affordable, these seem to be an attractive and effective alternative for fault simulation. Efficient fault simulation of synchronous sequential circuits has been reported to be attainably by using a linear iterative array model for such a circuit, and combining parallel fault simulation with russogate fault simulation. Such fault simulation algorithm is parallelized on a general-purpose multiprocessor with shard memory for acceleration of fault simulation. Through the experimenal study, the effect of the number of processors on speed-up of simulation, processor utilization, and the effect of multiprocessor hardware on simulation performance are studied. Some results for experiments with benchmark circuits are shown.

• Proceedings of the Korea Society for Simulation Conference
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• 2002.11a
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• pp.85-89
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• 2002

Development of distributed simulation environment must be required in order to simulate the distributed models regionally and inter-operate with running simulations individually, Simulation based on DEVS formalism is difficult to simulate the distributed models. DEVS formalism is modeling methodology. To specify model, this formalism separates behavior and structure, therefore it is able to design complex model easily. HLA is standard framework of distribute simulation environment, It is defined to facilitate the interoperability and the reusability. RTI (Run Time Infrastructure) is software that provides common service to simulation systems and implementation of the HLA Interface Specification. Method of implementation is that modules cooperating with RTI are added to simulator on DEVS simulation environment. On the DEVS simulation environment (DEVS-Obj -C) that already developed, Highest class of abstract simulator uses service that RTI provide, then This environment is able to change DEVS model into Federate and run distribute simulation that inter-operates with the RTI. Because this distributed simulation environment includes convenience of modeling that obtains through the DEVS formalism and accompanies HLA standard, this environment make it possible to simulate with_ complex systems and heterogeneous simulations

• Journal of the Korean Institute of Telematics and Electronics
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• v.24 no.4
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• pp.559-567
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• 1987

In this paper, the real time simulation of continuous dynamic system was performed by general integration algorithms using multiprocessor. For the stable simulation, the relation between stability of integration method and integration step-size was investigated from the stability graph. As a typical illustration, the real-time digital simulation and the real-time hard-ware-in-the-loop simulation of flight control system were performed and reviewed. Moreover through the real-time simulation, the design verification and performace test of flight control system could be evaluated. The computer used for simulation is AD10, which is a very high-speed special-purpose computer designed specifically for a time-critical simulation of large and complex models of dynamic systems. The simulation validity is demonstrated by comparing hardware simulation results with software simulation results.

• Journal of the Korea Society for Simulation
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• v.14 no.2
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• pp.15-24
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• 2005

The goal of a distributed simulation such as battle field simulation is to combine all kinds of simulations in the same synthetic environment and to make people interact at the same time. It is a key issue to share the same synthetic environment among simulations. To support reusability and affordability in the modeling and simulation area, DMSO(Defense Modeling and Simulation Office) of USA developed concepts such as HLA(High Level Architecture) and SEDRIS (Synthetic Environmental Data Representation and Interchange Specification). In the industrial simulation area, the digital manufacturing is the main stream. To reduce cost and to reuse simulation environment, the standardization becomes the focus of digital manufacturing. This study proposes to use SEDRIS to improve interoperability of manufacturing data. The simulation data of DELMIA, which is a leading commercial digital manufacturing solution, is mapped and translated into the SEDRIS transmittal format. Mapping of the manufacturing simulation data and the synthetic environment are implemented and verified through experiments.

• Journal of the Korea Society for Simulation
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• v.8 no.1
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• pp.101-111
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• 1999

The Web-based simulation was introduced for conducting simulation experiments in the Internet and the Web. Due to the use of the Java language, the Web-based simulation can have such characteristics as reusability, portability, and the capability of execution on the Web. Most of existing Web-based simulation tools have focused mainly on the development of the runtime simulation libraries and mechanisms on the Web. Thus, the model development work in such Web-based simulation tools still requires hand-written coding of model developers. This paper presents a visual model development environment for the Web-based simulation. The proposed environment provides a framework for model development and animation. To show the effectiveness of the proposed environment, we perform simulation experiments for transaction routing algorithms in a distributed transaction processing system.

• Proceedings of the Korea Society for Simulation Conference
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• 1997.04a
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• pp.3-7
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• 1997

Simulation is commonly used to find the best values of decision variables for problems which defy analytical solutions. "Simulation Optimization" technique is used to optimize the expressed in analytical of mathematical models. In this research, we will study Reverse-Simulation optimization method which is quite different from current simulation optimization methods in literature. We will focus on the on-line determination of steady-state method which is very important issue in Reverse-Simulation optimization, and the construction of Reverse-Simulation algorithm with expert systems. Especially, in the case of multiple objectives because of the dependency of simulation model, all objectives do not satisfied simulataneously. In this paper, therefore, we process simulation optimization using objectives with priority to optimize multiple objectives under single run.ingle run.