• Journal of The Korean Society of Agricultural Engineers
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• v.47 no.4
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• pp.3-12
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• 2005

The object of this study is to develop simulation model using GASS for analyzing complex agricultural marketing. It's hard to analyze agricultural marketing system which consists of many marketing unit by economic mathematical model. This paper proposes simulation model based on GASS which can reduce complexity of system, and applies the national average wholesale cost and retail cost of alpine Chinese cabbage at 2001, 2002 to proposed simulation model.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.553-556
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• 1996

The cell loss probability recommended in the B-ISDN is in the range of 10$^{-8}$ ~ 10$^{-12}$ . When a simulation technique is used to analyze the performance of the ATM switching system, an enormous amount of computer time is required. In this study, we derive an importance sampling simulation technique that can be used to evaluate the loss probability obtained by the importance sampling simulation is very close to that obtained by the ordinary simulation and the computer time can be reduced drastically by the importance sampling simulation.

• Journal of the Korean Society of Visualization
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• v.4 no.1
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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 Korea Society of Computer and Information
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• v.25 no.7
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• pp.39-46
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• 2020

Recently, for designing virtual characters in the battle game field effectively, some methods are very needed to predicate the win rates of the battle of them efficiently. In this paper, we propose a method to solve this problem by combining simulation and machine learning. Firstly, a simulation is used to analyze the win rates of the battle of virtual characters in the battle game. In addition, we apply a regression model based machine learning scheme to predict win rates of the battle of virtual characters according to their abilities. Our experimental results using suggested method show that it is almost no difference between the win rates of the simulation and the prediction results using the machine learning scheme. And also, we can obtain good performance in the experiment using only simple regression based machine learning model.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.20 no.6
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• pp.544-550
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• 2009

To analyze the threat decision performance of MWR(Missile Warning Radar) give analysis on condition that we decide the effective threat using the POC(Probability of Over Countermeasure)/PUC(Probability of Under Countermeasure). Thus, we execute the simulation using the Monte-Carlo method to analyze effect, but the execution time of simulation took longer than we expected. In this paper, the effect analysis is proposed using the probability model to reduce the execution time of simulation. We present the setting method of parameter for probability model and the effect analysis result of MWR using the simulation. Also, we present the comparison result of simulation execution time for Monte-Carlo and probability model.

• Journal of Biosystems Engineering
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• v.41 no.3
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• pp.145-152
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• 2016

Purpose: This study aims to establish the effect of pinhole position errors in the planet carrier of a planetary gear set (PGS) on load sharing among the planet gears in the hydromechanical transmission (HMT) system of an agricultural tractor. Methods: A simulation model of a PGS with five planet gears was developed to analyze load sharing among the planet gears. The simulation model was verified by comparing i ts r esults w ith those of a model developed in a previous s tudy. The verified simulation model was used to analyze the load-sharing characteristics of the planet gears with respect to the pinhole position error and the input torque to the PGS. Results: Both simulation models had identical load magnitude sequences for the five planet gears. However, the load magnitudes on the corresponding planet gears differed between the models because of the different stiffnesses of the PGS components and the input torques to the PGS. The verified simulation model demonstrated that the evenness of load sharing among the planet gears increases with decreasing pinhole position error and increasing input torque. Conclusions: The geometrical tolerance of the pinhole position should be properly considered during the design of the planet carrier to improve the service life of the PGS and load sharing among the planet gears.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.1184-1186
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• 1997

In this paper, we analyze the induced voltage and current in the underground transmission cable. To analyze it, we select the 154[kV] underground transmission system which is located in the city. In the case of the steady state, the single phase fault, and three phase fault in the underground cable, we analyze the induced voltage and current for an equivalent model through EMTP simulation. Also, the components of an equivalent model and the computer simulation using EMTP is described.

• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.708-710
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• 2013

Web based simulation service is utilized to computationally analyze various phenomena in real world according to the progress of network and computing technology. To provide suitable simulation service, web based simulation service will be improved by analyzing execution data. Especially, an API for data retrieval is designed, because every analyst needs different data. In this paper, we design the retrieval API for a user to analyze the web based simulation execution data, which is used on CFD (Cumputational Fluid Dynamics) and Chemistry. The designed retrieval API provides an simulation execution data depending on an user requirement such as a user type, an execution period, and an affiliation, which is based on the core information such as an user, a simulation program, and a cyberlab. Besides, a developer can provides a suitable information for a user to execute a simulation well such as a simulation statistics, an execution trend, and a frequent error.