• Title, Summary, Keyword: simulation

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Mapping Digital Manufacturing Simulation to Synthetic Environment using SEDRIS (SEDRIS를 이용한 디지털 생산 시뮬레이션과 합성 환경 매핑)

  • Moon, Hong-Il;Han, Soon-Hung
    • Journal of the Korea Society for Simulation
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    • v.14 no.2
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    • pp.15-24
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    • 2005
  • The goal of a distributed simulation such as battle field simulation is to combine all kinds of simulations in the same synthetic environment and to make people interact at the same time. It is a key issue to share the same synthetic environment among simulations. To support reusability and affordability in the modeling and simulation area, DMSO(Defense Modeling and Simulation Office) of USA developed concepts such as HLA(High Level Architecture) and SEDRIS (Synthetic Environmental Data Representation and Interchange Specification). In the industrial simulation area, the digital manufacturing is the main stream. To reduce cost and to reuse simulation environment, the standardization becomes the focus of digital manufacturing. This study proposes to use SEDRIS to improve interoperability of manufacturing data. The simulation data of DELMIA, which is a leading commercial digital manufacturing solution, is mapped and translated into the SEDRIS transmittal format. Mapping of the manufacturing simulation data and the synthetic environment are implemented and verified through experiments.

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Comparison of Multi-Mode Simulation and SimMan(R) Simulation on Evaluation of Nursing Care for Patients with Dyspnea (호흡곤란환자 간호의 실습교육평가에서 Multi-mode와 SimMan(R) 시뮬레이션 활용 비교)

  • Lee, Suk-Jeong;Roh, Young-Sook;Kim, Ju-Ok;Jang, Kie-In;Ryoo, Eon-Na;Park, Young-Mi
    • The Journal of Korean Academic Society of Nursing Education
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    • v.16 no.1
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    • pp.51-60
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    • 2010
  • Purpose: The purpose of this study was to compare the effects of nursing simulations between multi-mode simulation and $SimMan^{(R)}$ simulation on nursing students' nursing competency, satisfaction, and simulation participation experience in nursing care for patients with dyspnea. Method: Subjects were 107 junior nursing students in R College of Nursing in Seoul from June to November in 2009. Students were allocated to either a Multi-mode simulation group or a $SimMan^{(R)}$ simulation group. The multi-mode simulation consisted of standardized patients combined with Vital Sim, comparing the $SimMan^{(R)}$ group. Result: The Multi-mode simulation group reported higher levels of nursing competency (p=.017) but lower communication skills (p<.001) compared to the $SimMan^{(R)}$ simulation group. There were no meaningful differences in satisfaction of simulation education between the two groups. The $SimMan^{(R)}$ simulation group received a substantial health assessment and the Multi-mode simulation group experienced reality in caring for standardized patients. Conclusion: The findings of this study demonstrated that Multi-mode simulation has similar educational effects like $SimMan^{(R)}$ simulation and suggest that nurse educators should match simulation fidelity with educational goals for effective education.

Combined discrete event and discrete time simulation framework for the improvement of shipbuilding process planning (조선 공정 계획의 수립 완성도 향상을 위한 이산 사건 및 이산 시간 혼합형 시뮬레이션 프레임워크)

  • Cha, Ju-Hwan;Roh, Myung-Il;Bang, Kyung-Woon;Lee, Kyu-Yeul
    • Journal of the Korea Society for Simulation
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    • v.17 no.4
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    • pp.71-80
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    • 2008
  • In this study, a simulation framework, which can support developing various simulation systems for the improvement of process planning in shipbuilding such as the block erection, the block turn-over, and so on, is proposed. In addition, a simulation kernel, which is a key component of the simulation framework, is implemented according to the concept of the combined discrete event and discrete time simulation. To evaluate the efficiency and applicability of the proposed simulation framework, it is applied to the block erection process in shipbuilding. The result shows that the proposed simulation framework can provide the consistent, integrated development environment for a simulation system, as compared with existing studies and commercial simulation systems.

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A Statistical Estimation of The Universal Constants Using A Simulation Predictor

  • Park, Jeong-Soo-
    • Proceedings of the Korea Society for Simulation Conference
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    • pp.6-6
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    • 1992
  • This work deals with nonlinear least squares method for estimating unknown universial constants C in a computer simulation code real experimental data(or database) and computer simulation data. The best linear unbiased predictor based on a spatial statistical model is fitted from the computer simulation data. Then nonlinear least squares estimation method is applied to the real data using the fitted prediction model(or simulation predictor) as if it were the true simulation model. An application to the computational nuclear fusion device is presented.

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Extending the DEVS formalism toward Geometrical Kinematic Modeling and Simulation for Virtual Manufacturing Environment (가상제조환경을 위한 형상기구학 모델링 및 시뮬레이션으로의 DEVS 확장)

  • 황문호
    • Proceedings of the Korea Society for Simulation Conference
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    • pp.24-29
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    • 1999
  • Proposed in this paper is a modeling and simulation methodology for a virtual manufacturing environment. Based on DEVS formalism[Zeigler 76], the proposed model, so called GKDEVS, is designed to descript the geometrical knematic structure as well as event-driven and continuous state dynamics. In terms of abstract simulation algorithm[Zeigler 84], the simulation method of GKDEVS is proposed for combined discrete-continuous simulation. Using the GKDEVS, and FMS model consisting of a turing machine, a 3-axis machine and a RGV-mounted robot is constructed and simulated.

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Analysis of Physical Distribution System in Harbour by Simulation (선박입출항 시뮬레이션을 통한 항만 물류시스템의 분석)

  • 임재민
    • Proceedings of the Korea Society for Simulation Conference
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    • pp.21-24
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    • 1998
  • Simulation modeling has become an extremely important approach to analyzing complex system. In recent years the number of people using simulation as problem-solving aid has increased. In this Paper, we developed a simulation model for analyzing the physical distribution system in ports. We used Arena 2.2 which is a kind of simulation software based common simulation language, SIMAN V. And then, we applied this model to kwangyang port(partially) and analyzed the effect of it upon port system in according to change of the quantity of goods transported.

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A Simulation Model for Master Production Schedule (MPS) Evaluation System (기준생산계획 평가 시스템을 위한 시뮬레이션 모델)

  • 최성훈
    • Proceedings of the Korea Society for Simulation Conference
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    • pp.106-110
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    • 1998
  • Some successful scheduling systems are based on simulation technique. However, they are relatively expensive. A cost-effective solution is to apply general-purpose simulation software to the scheduling system. This paper is concerned with developing a simulation model for MPS(Master Production Schedule) evaluation system. The target system of the model is PC production system. AIM (Analyzer for Improving Manufacturing system), a well-known manufacturing oriented simulation software, is used for modeling tool. Eventually, the model can be included into an MPS evaluation system as simulation module and a scheduler can use the system to verify the MPS in advance.

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Performance Evaluation of a Parallel DEVS Simulation Environment of P-DEVSIM ++ (병렬 DEVS 시뮬레이션 환경(P-DEVSIM ++) 성능 평가)

  • 성영락
    • Journal of the Korea Society for Simulation
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    • v.2 no.1
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    • pp.31-44
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    • 1993
  • Zeigler's DEVS(Discrete Event Systems Specification) formalism supports formal specification of discrete event systems in a hierarchical , modular manner. Associated are hierarchical, distributed simulation algorithms, called abstract simulators, which interpret dynamics of DEVS models. This paper deals with performance evaluation of P-DEVSIM ++, a parallel simulation environment which implements the DEVS formalism and associated simulation algorithms in a parallel environment. Performance simulator has been developed and used to experiment models of parallel simulation executions in different conditions. The experimental result shows that simulation time depends on both the number of processors in the parallel system and the communication overheads among such processors.

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A Simulation Output Analysis Environment by utilizing Elastic Stack (Elastic Stack을 이용한 시뮬레이션 분석 환경 구성)

  • Hwang Bo, Seong Woo;Lee, Kang Sun;Kwon, Yong Jun
    • Journal of the Korea Society for Simulation
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    • v.27 no.3
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    • pp.65-73
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    • 2018
  • In this paper, we propose a simulation output analysis environment using Elastic Stack technology in order to reduce the complexity of the simulation analysis process. The proposed simulation output analysis environment automatically transfers simulation outputs to a centralized analysis server from a set of simulation execution resources, physically separated over a network, manages the collected simulation outputs in a fashion that further analysis tasks can be easily performed, and provides a connection to analysis and visualization services of Kibana in Elastic Stack. The proposed analysis environment provides scalability where a set of computation resources can be added on demand. We demonstrate how the proposed simulation output analysis environment can perform the simulation output analysis effectively with an example of spreading epidemic diseases, such as influenza and flu.

Effects of a Virtual Reality Simulation and a Blended Simulation of Care for Pediatric Patient with Asthma (천식 아동 간호에 대한 가상현실 시뮬레이션과 블렌디드 시뮬레이션 교육 효과)

  • Kim, Mikang;Kim, Sunghee;Lee, Woo Sook
    • Child Health Nursing Research
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    • v.25 no.4
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    • pp.496-506
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    • 2019
  • Purpose: The purpose of this study was to examine the effects of a virtual reality simulation and a blended simulation on nursing care for children with asthma through an evaluation of critical thinking, problem-solving processes, and clinical performance in both education groups before and after the educational intervention. Methods: The participants were 48 nursing students. The experimental group (n=22) received a blended simulation, combining a virtual reality simulation and a high-fidelity simulation, while the control group (n=26) received only a virtual reality simulation. Data were collected from February 25 to 28, 2019 and analyzed using SPSS version 25 for Windows. Results: The pretest and posttest results of each group showed statistically significant improvements in critical thinking, problem-solving processes, and clinical performance. In a comparison of the results of the two education groups, the only statistically significant difference was found for critical thinking. Conclusion: Simulation-based education in child nursing has continued to involve high-fidelity simulations that are currently run in many programs. However, incorporating a new type of blended simulation, combining a virtual reality simulation and a high-fidelity simulation, into the nursing curriculum may contribute to the further development of nursing education.