• Journal of the Korea Society for Simulation
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• v.8 no.2
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• pp.57-72
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• 1999

With the rapidly increasing complexity of decision-marking or system development in the fields of industry, management, etc., modelling techniques using simulation has become more highlighted. Particularly, the advent of parallel computer systems not only has opened a new horizon of parallel simulation, but also has greatly contributed to the speed-up of the execution of simulation. The implementation of parallel simulation, however, is not a easy job for those who accustomed to the existing computer systems. And it is also necessarily confronted with the problem of synchronization conflict in the process. Thus, how to allow a wider community of users to gain access to parallel simulation while solving synchronization conflicts has become an important issue in simulation study. As a method to solve these problems, this paper is primarily concerned with the implementation of GPSS which is a generally used simulation language for discrete event simulation, onto a parallel computer using C-LINDA. For that, this paper, is to suggest a model and algorithm and to experiment it using a case.

• Journal of the Korea Society for Simulation
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• v.9 no.4
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• pp.25-40
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• 2000

The cost of simulation modeling, the expertise required, and the pains of starting a new each time are impediments to more wide spread adoption of simulation technology. In addition, one of the most critical problems in the field of computer simulation today is the lack of published models and physical objects within the World Wide Web (WWW) allowing such distribution. From the viewpoint of WWW as distributed model repositories, it can be assumed that very many simulation models exist on the web. This paper is based on the premise that WWW is a distributed repository. Design Pattern, web-oriented technology like Java and CORBA, which are especially to cope with distributed objects, are introduced and discussed in detail for integration of simulation model. In this paper an architecture of model integration is proposed, which presents the whole procedure of model integration and how the Internet technologies are connected in. The central focus of this research is on the technical realization of integrating simulation models as distributed objects

• Journal of the Korea Society for Simulation
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• v.13 no.2
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• pp.23-34
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• 2004

Regenerative simulation (RS) is a method of stochastic steady-state simulation in which output data are collected and analysed within regenerative cycles (RCs). Since data collected during consecutive RCs are independent and identically distributed, there is no problem with the initial transient period in simulated processes, which is a perennial issue of concern in all other types of steady-state simulation. In this paper, we address the issue of experimental analysis of the quality of sequential regenerative simulation in the sense of the coverage of the final confidence intervals of mean values. The ultimate purpose of this study is to determine the best version of RS to be implemented in Akaroa2 [1], a fully automated controller of distributed stochastic simulation in LAN environments.

• Journal of the Korean Society for Railway
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• v.10 no.3 s.40
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• pp.306-312
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• 2007

This paper presents the optimal design method of the train repair facility based on the simulation analysis. The train is divided into the power car, motorized car and passenger car for the simulation process analysis and train repair facility is composed of each subsystems such as a blast, dry and wash workshop. In simulation analysis, we consider the critical (dependent) factors and design (independent) factors for the optimal design. Therefore, a simulation optimization uses Evolution Strategy (ES) in order to find the optimal design factors. Experimental results indicate that simulation design factors are sufficient to satisfy the conditions of dependent variables. The proposed analysis method demonstrates that simulation design factors determined by the simulation optimization are appropriate for real design factors in a real situation and the accuracy and confidence for the simulation results are increased.

• Journal of the Society of Naval Architects of Korea
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• v.46 no.3
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• pp.303-312
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• 2009

Recently, requests for the accurate process planning using modeling and simulation technique are increasing in many engineering fields including shipbuilding industry. In this study, Combined DEVS(Discrete EVent System specification) and DTSS(Discrete Time System Specification) simulation kernel is developed, and an integration strategy of dynamics simulation module and graphics module is also implemented. To evaluate the efficiency and applicability of the simulation kernel and integration strategy, these are applied to the block erection simulation of offshore structures.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.2
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• pp.228-240
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• 2013

Purpose: This study was to evaluate the applicability of an emergent care management simulation practicum which is for enhancing nursing students' emergent care management competency based on the Nursing Education Simulation Model. Methods: One group pre-post experimental design was conducted for evaluation of the applicability of the simulation practicum. A convenient sample of 60 senior nursing students was participated. The simulation practicum was provided for 26 hours per student at the end of the first semester of senior year. Educational practices in simulation scale, simulation design scale and learning outcomes were measured. Higher positive correlations between variables represent applicability. Descriptive analysis, paired t-test and Pearson correlation coefficient were used for data analyses. Results: Among contractual components of nursing education simulation model, educational practices in simulation and simulation design (r=.80, p<.010), learning outcomes (r=.71-.28, p<.050), simulation design and learning outcomes (r=.72-.30, p<.050) were significantly correlated. Critical thinking (t=-3.63, p<.050) and problem solving competence (t=-2.55, p<.050) were significantly increased by this simulation practicum. It represents the applicability of an emergent care management simulation practicum. Conclusion: This emergent care management simulation practicum was appropriate to enhance the nursing students' emergent care management coping competency.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.10a
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• pp.9-10
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• 2001

Simulation has been evolved with the advance of computer and technique of modeling application systems. Early simulations were numerical analysis of engineering models known as continuous simulation, analysis of random events using various random number generators thus named as Monte Carlo simulation, iud analysis o(\\\\`queues which are prevalent in many real world systems including manufacturing, transportation, telecommunication. Discrete-event simulation has been used far modeling and analyzing the systems with waiting lines and inefficient delays. These simulations, either discrete-event, continuous, or hybrid, have played a key role in industrial age by helping to design and implement the efficient real world systems. In the information age which has been brought up by the advent of Internet, e-business has emerged. E-business, any business using Internet, can be characterized by the network of extended enterprises---extended supply and demand chains. The extension of value chains spans far reaching scope in business functions and space globally. It also extends to the individual customer, customer preferences and behaviors, to find the best service and product fit for each individual---mass customization. Simulation should also play a key role in analyzing and evaluating the various phenomena of e-business where the phenomena can be characterized by dynamics, uncertainty, and complexity. In this tutorial, applications of simulation to e-business phenomena will be explained and illustrated. Examples are the dynamics of new economy, analysis of e-business processes, virtual manufacturing system, digital divide phenomena, etc. Partly influenced by e-business, a new trend of simulation has emerged called agent-based simulation, Agent-based simulation is a technique of simulation using software agent that have autonomy and proactivity which are useful in analyzing and integrating numerous individual customer's behavior. One particular form of agent-based simulation is swarm. This tutorial concludes with the illustration of swarm or swarm Intelligence applied to various e-business applications, and future directions and implications of this new trend of simulation.

• Proceedings of the Korea Society for Simulation Conference
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• 2002.05a
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• pp.197-201
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• 2002

APESS(Advanved Plant Engineering & Simulation System) is a dynamic simulation software for power plant which is being developed by Doosan Heavy Industries & Construction Co., Ltd. This Paper represents the GUI implementation of APESS on Windows NT/2000 operating system.

• Journal of the Korea Society for Simulation
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• v.4 no.1
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• pp.87-97
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• 1995

Simulation techniques are used to improve the productivity of a textile factory. A simulation model is developed for the analysis of investment for dyeing process equipment, such as dryers and bleachers. For modeling and analysis, AIM (Analyzer for Improving Manufacturing) is used. AIM is a manufacturing oriented simulation software developed by Pritsker Corp. AIM provides interactive model building and simulation, automatic animation, and powerful graphic outputs. thereby, drastically reducing modeling efforts and also enhancing communication capabilities.

• Journal of the Korea Society for Simulation
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• v.11 no.2
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• pp.67-75
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• 2002

This paper proposes a parallel simulation algorithm for bounded Petri nets in a single processor, which exploits the SIMD(Single Instruction Multiple Data)-type parallelism. The proposed algorithm is based on a data packing scheme which packs multiple bytes data in a single register, thereby being manipulated simultaneously. The parallelism can reduce simulation time of bounded Petri nets in a single processor environment. The effectiveness of the algorithm is demonstrated by presenting speed-up of simulation time for two bounded Petri nets.