• 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.

• Journal of the Korea Institute of Military Science and Technology
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• v.19 no.2
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• pp.244-251
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• 2016

In defense domain, mission level and engagement level simulation tools exist. In order to experiment a simulation scenario for obtaining results of both mission level and engagement level simulations, we should write a same simulation scenario in a mission level simulation tool as well as an engagement level simulation tool, and we have to operate these tools for analysis of each purpose. Moreover, we could not guarantee that these scenarios are completely same since each scenario is composed of different fidelities of simulation models, although the scenarios are written by a same experimenter and with same simulation purpose. To deal with the difficulties, I propose an approach to analysis of both mission level and engagement level simulations from one simulation result. For this, I have built Composite Combat Mission Planning Simulation Environment (CCMPSE). In this paper, the HLA/RTI based simulation composition technology and my experiences for the designed Composite Combat Mission Planning Simulation Control System (CCMPSCS) are explained. Moreover, This paper also conducts a case study with EADSIM, SADM, and the CCMPSCS. Finally, this paper provides lesson learned from the case study.

• Journal of the Korea Institute of Military Science and Technology
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• v.10 no.1
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• pp.78-85
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• 2007

A gun is still one of the major weapons of a combat ship. To assess the ship's fire control capability which is influenced by tracking system, fire control algorithm, gun, the ship itself, target behavior, environment and engagement situation, simulation system for gun-oriented engagement for surface ship is needed. This paper proposes the process for designing and implementing a gun-oriented engagement simulation system using DEVS(Discrete Event Simulation Specification), which is a formalism based on the set theory. It consists of the following activities : 1) analyzing the characteristics of a gun-oriented engagement, 2) constructing the deterministic model of the combat ship of study with DEVS, 3) modeling properties of each entity showing as stochastic errors. With this process, the gun-oriented engagement simulation system is developed and applied for the combat system under development.

• Journal of the Korea Society for Simulation
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• v.5 no.1
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• pp.81-90
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• 1996

In this paper, we propose a new events ordering mechanism for the optimistic distributed simulation of DEVS models. To simulate DEVS models in a distributed environment, a synchronization protocol is required for correct simulation. Time Warp is the most well-known optimistic synchronization protocol for distributed simulation. However, employing the Time Warp protocol in distributed simulation of DEVS models incurs events ordering problem due to the semantic difference between Time Warp and DEVS, Thus, to resolve such semantic difference, we devise the time-and-priority-stamp and $\varepsilon$ -delay schemes. The proposed schemes can order simultaneous events correctly in Time Warp-based distributed simulation of DEVS models.Time Warp and DEVS, Thus, to resolve such semantic difference, we devise the time-and-priority-stamp and $\varepsilon$ -delay schemes. The proposed schemes can order simultaneous events correctly in Time Warp-based distributed simulation of DEVS models.

• Journal of the Korea Society for Simulation
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• v.7 no.1
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• pp.69-83
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• 1998

In this paper, we present the results of simulation by running parallel VHDL simulation on typical MPP(Massively Parallel Processor) systems such as IBM SP2 and SGI Origin 2000. Parallel simulation uses the synchronous protocol and parallel program is implemented using MPI(Message Passing Interface) based on message passing model, so that it can urn on any parallel programming environment which supports MPI, a standard communication library. And then GVT(Global Virtual Time) computation for parallel simulation is based on the global broadcasting with MPI＿Bcast(), which is a standard function in MPI and piggybacking. Our benchmark exhibits that as size of VHDL grows, the parallel simulation has a better performance compared with the sequential simulation. In addition, we also show the results of comparison between IBM SP2 and SGI Origin 2000 by applying the same application to those indirectly.

• Journal of Korean Academy of Nursing
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• v.41 no.2
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• pp.245-255
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• 2011

Purpose: This study was conducted to examine the effects of simulation-based education regarding care in a cardio-pulmonary emergency care as related to knowledge, clinical performance ability, and problem solving process in new nurses. Methods: An equivalent control group pre-post test experimental design was used. Fifty new nurses were recruited, 26 nurses for the experimental group and 24 nurses for the control group. The simulation-based cardio-pulmonary emergency care education included lecture, skill training, team-based practice, and debriefing, and it was implemented with the experimental group for a week in May, 2009. Data were analyzed using frequency, ratio, chi-square, Fisher's exact probability and t-test with the SPSS program. Results: The experimental group who had the simulation-based education showed significantly higher know-ledge (t=5.76, p<.001) and clinical performance ability (t=5.86, p<.001) for cardio-pulmonary emergency care compared with the control group who had traditional education but problem solving process was not included (t=1.11, p=.138). Conclusion: The results indicate that a simulation-based education is an effective teaching method to improve knowledge and clinical performance ability in new nurses learning cardio-pulmonary emergency care. Further study is needed to identify the effect of a simulation-based team discussion on cognitive outcome of clinical nurses such as problem solving skills.

• Journal of the Society of Naval Architects of Korea
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• v.45 no.4
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• pp.441-454
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• 2008

Shipyard design and equipments layout problem, which are directly linked with the productivity of ship production, is an important issue serving as reference data of production plan for later massive production of ships. So far in many cases, design of a shipyard has been relying on the experienced engineers in shipbuilding, resulting in sporadic and poorly organized processes. And thus, economic losses as well as trials and errors in that accord have been pointed out as inevitable problems. This paper extracts a checklist of major elements to fine tune the shipbuilding yard designing process and the input/output data based on the simulation based shipbuilding yard layout designing framework and methodology proposed in existing researches, and executed initial architecture to develop software that integrates all the relevant processes and designing tools. In this course, both user request and design data by the steps are arranged and organized in the proposed layout design template form. In addition, simulation is done based on the parent shipbuilding process planning and scheduling data of the ship product, shipbuilding process and work stage facilities that constitute shipbuilding yard, and design items are verified and optimized with the layout and equipment list showing optimal process planning and scheduling effects. All the contents of this paper are based on simulation based shipbuilding yard layout designing methodology, and initial architecture processes are based on object oriented development methodology and system engineering methods.

• Journal of Korean Academy of Nursing
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• v.47 no.6
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• pp.842-853
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• 2017

Purpose: This study was conducted to identify effects of debriefing based on the clinical judgment model for nursing students on their knowledge, skill performance, clinical judgment, self-confidence and learner satisfaction during simulation based end-of-life care (ELC) education. Methods: Simulation based ELC education was developed in six steps as follows: selection of learning subjects and objects, development of learning tools, a trial run of simulation-based education, students' skill training, and evaluators' training. Forty-eight senior nursing students (25 in the experimental group and 23 in the control group) participated in the simulation-based ELC education using a high-fidelity simulator. Debriefing based on the clinical judgment was compared with the usual debriefing. Results: ANCOVA showed that there were differences in knowledge (F=4.81, p=.034), skill performance (F=68.33, p<.001), clinical judgment (F=18.33, p<.001) and self-confidence (F=4.85, p=.033), but no difference in satisfaction (t=-0.38, p=.704) between the experimental and control groups. Conclusion: This study found that debriefing based on the clinical judgement model is effective for supporting nursing students for reflecting on clinical judgment and improving their diverse competencies in complex clinical settings such as ELC.

• The Korean Journal of Emergency Medical Services
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• v.11 no.3
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• pp.31-45
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• 2007

Purpose : The simulation-based training in this research consists of theory and practice. Before the training, target students took a test on the competence of basic life support. Based on the result, they were separated as the subject group and comparison group. The simulation-based training was offered to the subject group and the traditional training was given to the comparison group. As soon as the training was completed, a follow-up study was conducted. Methods : This research aimed to figure out the effect of the simulation-based training on the competence of basic life support of the students Emergency Medical Technology. To this end, the nonequivalent pretest-posttest-quasi-experimental design using a comparison group was conducted. Results : The first hypothesis was that 'The group who took the simulation-based training would show higher points in the knowledge of basic life support than the group who took the traditional training.' Among those who took prior theory education, the subject group showed $69.38{\pm}20.43$ points while the comparison group showed $76.25{\pm}21.33$ points(t = -0.658, p = 0.531). Among those who took prior theory education and training, the subject group showed $82.86{\pm}10.86$ points while the comparison group showed $79.33{\pm}15.45$ points(t = 0.705, p = 0.487). Since there were no significant statistical differences between the two groups, the first hypothesis didn't hold. It showed few differences between the two training methods. The second hypothesis was that 'The group who took the simulation-based training would show higher points in the basic life support skills than the group who took the traditional training.' Among those who took prior theory education, the subject group showed $65.75{\pm}7.66$ points while the comparison group showed $46.88{\pm}13.48$ points(t = -3.442, p = 0.004). Among those who took prior theory education and training, the subject group showed $79.50{\pm}11.40$ points while the comparison group showed $62.13{\pm}11.44$ points(t = 4.091, p = 0.000). Since there were significant statistical differences between the two groups, the second hypothesis held. It showed substantial differences between the two training methods. Conclusion : The group who took the simulation-based training showed more positive effects on the competence of basic life support than those who took the traditional training. Therefore, it is confirmed that the simulation-based training is a useful method to improve clinical work performance of the students Emergency Medical Technology.

• Korean Journal of Adult Nursing
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• v.20 no.4
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• pp.548-560
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• 2008

Purpose: This study was conducted to develop a simulation-based education course and to evaluate the results after the application for second year nursing students. Methods: This study was a non-equivalent control pre-post design. Based on the clinical situation scenarios about patients with COPD and MI, a total of two simulation-based learning modules was developed. Pretest and posttest was conducted to evaluate the difference in critical thinking disposition, problem solving, and clinical competence between two groups of 102 students for the experimental group, 2007 and 90 students for the control group, 2006. The experimental group conducted a clinical performance evaluation in the final test, on December 10, 2007. Results: In the experimental group, knowledge related to learning objectives was significantly increased and core intervention was performed almost exactly, but the same result was not observed in domains of analysis of laboratory test, and nursing education for patients. Self-evaluated clinical competence and problem solving level were significantly more improved in the experimental group than control group, but critical thinking disposition level wasn't. Conclusion: In conclusion, a simulation-based education course needs to utilize self-directed learning module like computer-based learning through web contents and MicroSim and video productions for improving nursing students' critical thinking.