• Journal of the Korea Society for Simulation
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• v.12 no.4
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• pp.103-111
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• 2003

A distributed sewer cluster system is a cost-effective system to provide a service application for clients with reliable, scalable, available, and fault-tolerant features. In order to provide high quality services, it is necessary to evaluate service performances, tune the server system, and analyze performances. In this paper, we propose a simulator to generate workloads based on statistic configuration according to estimated application traffics, apply workload scheduling algorithms, and evaluate the simulation results. We introduce the simulator design modelling and architecture. By using flexible parameters, the simulator is able to generate various patterns of workloads with different statistics, and configure system environments such as the number of server nodes, system resources considered, and their capacities. With this simulator, we introduce two scenarios: one is to find appropriate thresholds for the best performance of cluster system, and the other is to find the suitable scheduling algorithm for workload characteristics of service applications.

• Proceedings of the Korea Society for Simulation Conference
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• 2003.11a
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• pp.27-34
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• 2003

A distributed server cluster system is a cost-effective system to provide a service application for clients with reliable, scalable, available, and fault-tolerant features. In order to provide high quality services, it is necessary to evaluate service performances, tune the server system, and analyze performances. In this paper, we propose a simulator to generate workloads based on statistic configuration according to estimated application traffics, apply workload scheduling algorithms, and evaluate the simulation results. We introduce the simulator design modelling and architecture. By using flexible parameters, the simulator is able to generate various patterns of workloads with different statistics, and configure system environments such as the number of server nodes, system resources considered, and their capacities. With this simulator, we introduce two scenarios: one is to find appropriate thresholds for the best performance of cluster system, and the other is to find the suitable scheduling algorithm for workload characteristics of service applications.

• Journal of Biosystems Engineering
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• v.20 no.3
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• pp.262-274
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• 1995

A rice mill pilot plant was designed and developed in the basis of the simulation results on the mill plants. The performance of the developed rice mill plant was evaluated, and the simulation model on the mill system was validated with the experimental data in the mill plant. The results of this study were as followings : 1. A rice mill pilot plant with the capacity of 0.5 t/h was designed and developed. 2. The hulled ratio of the mill plant was 87.3%, and the milled rice recovery and the head rice recovery of the cleaned rice were 74% and 87% , respectively. The degree of milling of the cleaned rice was 10.6% with a high polish. The intensity of the cleaned rice appeared high compared with that of the milled rice in the analysis of whiteness test using an image processing system. 3. The bottleneck, processing time, and production amount of the developed mill system almost coincided with those of the simulation of the rice mill plant. The developed simulation model of the rice mill plant was proven to be applicable to the design of a rice mill plant through experiments.

• 한국신재생에너지학회:학술대회논문집
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• 2007.11a
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• pp.133-136
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• 2007

In this work, 3-dimensional, non-isothermal numerical simulation was performed to analyse the effects of contact resistance and electric conductivity of GDL on the fuel cell performance. For numerical simulation contact resistance of Carbon and Stainless steel was measured. The simulation results reveal that 10 times change of electric conductivity leads only 6.5% decrease of PEMFC performance. But stainless steel which has high contact resistance decrease fuel cell performance over 25% at a high current density region than carbon. This results show that suitable Surface treatment technology is needed for metal bipolar plate, especially stainless steel.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2012.05a
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• pp.184-186
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• 2012

In this work, 3-dimensional, non-isothermal numerical simulation was performed to analyse the effects of contact resistance and electric conductivity of GDL on the fuel cell performance. For numerical simulation contact resistance of Carbon and Stainless steel was measured. The simulation results reveal that 10 times change of electric conductivity leads only 6.5% decrease of PEMFC performance. But stainless steel which has high contact resistance decrease fuel cell performance over 25% at a high current density region than carbon. This results show that suitable Surface treatment technology is needed for metal bipolar plate, especially stainless steel.

• 한국전산유체공학회:학술대회논문집
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• 2008.03b
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• pp.428-431
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• 2008

Korea Aerospace Research Institute(KARI) is achieving the Korea Space Launch Vehicle(KSLV) program according to National Space Technology Development Program. KSLV-I will be composed to liquid propellant(first stage) and solid propellant(second stage) propulsion system. The propulsion system of KSLV-I second stage is solid kick motor with high expansion ratio and its starting altitude is 300km high. In order to verify the performance of upper stage propulsion system designed to operate in the upper atmosphere, test facility which can simulate high altitude is needed. High Altitude Simulation Test Facility is composed to Thrust Measurement System, Control & Measurement system, Diffuser, SKID for cooling water supply to diffuser, CCTV, fire protection system and so on. This paper introduces TMS adapted to High Altitude Simulation Test for KSLV-I Kick Motor Development and results of hot firing test for its performance verification.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.11a
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• pp.477-478
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• 2010

• Journal of Distribution Science
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• v.14 no.9
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• pp.31-45
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• 2016

Purpose - This study develops a simulation model that looks at the dynamics between social capital and business performance in strategic networks to understand their behaviors in relation to each other, and to suggest dynamic relationship strategies. Research design, data, and methodology - Based on existing literature, this study identifies the complex causal loop diagram on social capital and business performance in strategic networks, and converts them into a simulation model for observing how the changes in business environment and relationship dependency affect social capital and business performance. Results - The simulation results showed that, first, the formation in social capital and business performance of networks with low relationship dependency was less affected by the changes in business environment. Second, the formation in social capital and business performance of networks with high relationship dependency was negatively impacted by the changes in business environment. In other words, higher relationship dependency strengthened the impact of changes in business environment on business performance. Conclusions - Thus, this study confirmed that in strategic networks, the changes in business environment and the degree of relationship dependency dynamically affect business performance, and that relationship dependency mediates the degree in which changes in the business environment affect business performance. The results of the simulations were further verified through actual business cases.

• Proceedings of the KIPE Conference
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• 2007.07a
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• pp.226-228
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• 2007

SRM drive systems are designed to meet operating standards such as low cost, constant torque independent of rotor position, a desired operating speed range, high efficiency, and high performance. In applications using small motors, low cost and high performance with self-starting capabilities are highly desired. This paper discusses a novel two phase SRM (TPSRM) that has high performance characteristics with self-starting capability, low manufacturing cost with a two phase inverter and simple magnetic structure, and high efficiency. The principle of operation, analysis, and simulation for design are presented. The machine design is verified using finite element analysis (FEA) software. Analysis and simulation results are given to validate the TPSRM design.

• Korean Journal of Adult Nursing
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• v.25 no.2
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• pp.170-182
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• 2013

Purpose: This study investigated the effectiveness of simulation training with a hybrid model of student nurses' performance ability and reported self confidence. Methods: A nonequivalent control group with pre-posttest was designed. Data collection was done during the first semester in 2012 at a college of nursing in Seoul. Nursing performance ability and reported self confidence related to taking care of patients with urinary problems were evaluated. The treatment group (n=96) received simulation training of a catheterization procedure with a hybrid model involving standardized patients and a mannequin. Nursing students in the comparison group (n=84) did not receive the simulation training but would receive it prior to their next clinical practicum's. Results: The treatment group showed a significantly higher performance ability and reported self confidence than that of the comparison group. The perceived helpfulness and contentment of the simulation training in experimental group was high. Conclusion: The findings of this study demonstrated that simulation with a hybrid model was effective in teaching skills prior to the clinical experience which suggests that skill development is not dependent on the actual clinical situation. Nurse educators should consider simulation training as a tool beyond that of clinical practicum.