• 한국시뮬레이션학회논문지
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• 제11권3호
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• pp.1-12
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• 2002

Experimental design in simulation provides an efficient way of economizing simulation runs since a considerable number of simulation runs that originally were planned can be reduced by this approach. This experimental design method is an active area of research together with the output analysis and so no single panacea seems to exist so far. Thus, selection of techniques of experimental design and output analysis more likely depends upon the objective of simulation analysis, budget constraint and sometimes the analyst's subjective judgment. This paper attempts to describe an experimental design methodology for port investment analysis using a case study in a bulk terminal in Korea. Detailed display will be focused on simulation period, warm-up period, the number of replications needed in production runs after brief explanation on the system configuration.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2001년도 The Seoul International Simulation Conference
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• pp.72-76
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• 2001

Experimental design in simulation provides an efficient way of economizing simulation runs since a considerable number of simulation runs that originally were planned can be reduced by this approach. This experimental design method is an active area of research together with the output analysis and so no single panacea seems to exist so far. Thus, selection of techniques of experimental design and output analysis more lithely depends upon the objective of simulation analysis, budget constraint and sometimes the analysts subjective judgment. This paper attempts to describe an experimental design methodology for port investment analysis using a case study in a bulk terminal in Korea. Detailed display will be focused on simulation period, warm-up period, the number of replications needed in production runs after brief explanation on the system configuration.

• 한국가시화정보학회지
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• 제4권1호
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• pp.8-13
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• 2006

Fire simulation has been developed for decades to analyze fire cases and provide a tool to study fundamental fire dynamics and combustion. There are three way of fire simulation which are a full scale simulation, an experimental simulation and a computational simulation. In case of a full scale simulation, because a higher cost, a higher risk, more efforts are needed, a demand for it has been decreased. But recently a demand for an experimental simulation and a computational simulation has been increased. A computational simulation has several advantages; lower cost, short period, many case studies, more visual results, a quantitative result and etc. FDS(Fire Dynamics Simulator) which has been developed in BFRL(Building and Fire Research Laboratory), NIST(National Institute of Standards and Technology) is a popular world wide code for fire simulation. Lack of accurate predictions by the model could lead to erroneous conclusions with regard to fire safety. All results should be evaluated by the informed judgment of the qualified user.

• Journal of the Korean Physical Society
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• 제73권10호
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• pp.1466-1472
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• 2018

A key comparison has been made between the air-kerma standards of the National Institute of Metrology (NIM), China, and other Asia Pacific Metrology Programme (APMP) members in the medium-energy X-ray. This paper reviews the primary standard Free-air ionization chamber correction factor experimental method and Monte Carlo simulation method in the NIM. The experimental method and the Monte Carlo simulation method are adopted to obtain the correction factor for the medium-energy X-ray primary standard free-air ionization chamber at 100 kV, 135 kV, 180 kV, 250 kV four CCRI reference qualities. The correction factor has already been submitted to the APMP as key comparison data and the results are in good agreement with those obtained in previous studies. This study shows that the experimental method and the EGSnrc simulation method are usually used in the measurement of the correction factor. In particular, the application of the simulation methods is more common.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.180-186
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• 2022

This study is a pilot study to confirm the effectiveness of training after applying emergency simulation training for inactive nurses and to present a new model of simulation training operation method. In this study, the control group is a group that directly participates in the simulation activity, and the experimental group is the group that observes the control group's simulation activity. Experimental group and control group were matched 1:1 to experience all the roles of the resuscitation team. The study participants were 5 inactive nurses in the experimental group and 5 inactive nurses in the control group, and the total training time was 5 hours. The emergency simulation operation composition consists of theory education, skill education, and simulation. The interview was conducted. The educational satisfaction of the participants was 4.65 points for theory education and 4.70 points for practical education based on 5 points. Participants' performance confidence improved from 3.60 points before operation to 7.20 points after operation. Emergency simulation operation consisted of pre-test, theory education, skill education, simulation implementation, debriefing, and post-test. Participants expressed that the choice of group greatly reduced the burden and anxiety about performing the role of the resuscitation team. However, difficulties and inexperience in the operation of the defibrillator were reported in the experimental group. The control group reported that the simulation activity of the experimental group was not significantly different from theirs. Through the results of this study, it was confirmed that emergency simulation education not only reduced the burden and anxiety of inactive nurses, but also had an effect of education. Based on the research results, it is proposed to expand the participants and verify the effectiveness of education through specific variables such as learning commitment, learner confidence, simulation satisfaction, and team effectiveness.

• Child Health Nursing Research
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• 제21권4호
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• pp.293-301
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• 2015

Purpose: This study was done to analyze the effectiveness of simulation-based integrated practice program (maternal-child) on nursing knowledge, self-confidence, and clinical competence of nursing students. Methods: A nonequivalent control group pre-post experimental design was used to compare experimental and control group. The experimental group received the integrated simulation practice and the control group received a separate simulation for maternal care and for newborn care. Results: The experimental group who had the integrated simulation had significantly higher scores for self-efficacy on nursing handover (F=0.480 p=.012) and oxygen therapy in newborn care (F=3.262 p=.037), and for clinical competence (F=2.639, p<.001) and personal satisfaction with debriefing compared to the control group (F=2.179, p=.044). But the experimental group did not have significantly higher scores in nursing knowledge. Conclusions The results indicate that an integrated simulation practice is an effective practice method to improve self-confidence, clinical competence and satisfaction. Also this study had significance in providing a setting similar to the clinical situation.

• Food Science and Biotechnology
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• 제16권3호
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• pp.361-366
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• 2007

As the application of quantitative risk assessment (QRA) to food safety becomes widespread, it is now being questioned whether experimental results and simulated results coincide. Therefore, this paper comparatively analyzed experimental data and simulated data of the cross contamination, which needs summation of the simplest calculations in QRA, of chicken by Monte Carlo simulation and fuzzy math computation. In order to verify summation, the following basic operation was performed. For the experiment, thigh, breast, and a mixture of both parts were preserved for 24 hr at $20^{\circ}C$, and then the cell number of Salmonella spp. was measured. In order to examine the differences between experimental results and simulated results, we applied the descriptive statistics. The result was that mean value by fuzzy math computation was more similar to the experimental than that by Monte Carlo simulation, whereas other statistical descriptors by Monte Carlo simulation were more similar.

• 한국시뮬레이션학회논문지
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• 제2권1호
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• pp.125-133
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• 1993

A statistical method is described for estimation of the unknown constants in a theory using both of the computer simulation data and the real experimental data, The best linear unbiased predictor based on a spatial linear model is fitted from the computer simulation data alone. Then nonlinear least squares estimation method is applied to the real experimental data using the fitted prediction model as if it were the true simulation model. An application to the computational nuclear fusion devices is presented, where the nonlinear least squares estimates of four transport coefficients of the theoretical nuclear fusion model are obtained.

• 설비공학논문집
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• 제12권1호
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• pp.12-19
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• 2000

The multi type heat pump system may provide more energy savings and better environmental conditions than the single type heat pump system may do. In order to design a multi type heat pump system, it may be recommended to develop the system simulation program, which can predict the characteristics of the system such as unit capacities, power consumptions, and system COP's. In this study, the steady state simulation program of the multi type heat pump system was developed. The results from the simulation program were compared with those from the experimental tests which were performed in the environmental chamber, Cooling tests show 3.11% and 0.94% of error in capacity and COP, and heating tests show 3.30% and 1.90% of error in capacity and COP, respectively. Therefore, the steady state simulation program developed for this study can effectively be used for the design and the performance prediction of the multi type heat pump system.

• Journal of the Korean Data and Information Science Society
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• 제21권5호
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• pp.853-861
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• 2010

선박운항 안정성 평가를 위한 시뮬레이션 설계 시 선박운항에 영향을 미치는 요인들을 고려하여 실험조건을 설정한다. 배속 시뮬레이션에서는 이론적으로 수많은 실험조건도 수행 가능하나, 동일 실험조건 하에서는 동일 항해위험 관련 측정치를 얻으므로 확률모형이 아니다. 실시간 시뮬레이션은 실험에 참여하는 선박운항 전문가로 인한 변동이 발생하여 확률모형 분석이 가능하나 소요되는 실험시간으로 인하여 실험회수의 제한이 있다. 그리하여 배속 시뮬레이션을 활용하여 항해 위험도가 높은 실험조건을 선택하고, 선택된 실험조건에서만 실시간 시뮬레이션을 실시하여 항만 항해 위험도를 산정하고 있다. 이전 연구에서는 전문가의 주관적 판단이나 확률분포함수 개념을 활용하여 항해 위험도가 높은 실험조건을 선택하는 방법이 제안되었다. 그러나 이 방법들은 최종 횡단 데이터를 활용하여 시뮬레이션 과정에서 발생하게 되는 위험도를 측정하는 방법으로는 적절하지 못하다. 본 연구에서는 시뮬레이션의 항적 데이터로부터 얻는 주성분 점수를 활용하여 이상 실험조건을 진단하고 항해 위험도 높은 지점을 판단하는 방법을 제안하고 실증분석 결과도 제시하였다.