• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.355-364
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• 2018

The purpose of this study is to investigate the effect of simulation practice combining problem-based learning on nursing knowledge, self-confidence, critical thinking tendency and problem solving ability. The subjects of this study were 45 students who took two courses of nursing situation practice in the fourth grade of S university in S area. Data were collected before and after the simulation exercise using the self-report questionnaire. The problem-based learning and the simulation practice convergence training were conducted for three weeks with two hours per week, and the post- integration nursing knowledge, self-confidence, critical thinking disposition, and problem solving ability scores were improved. Nursing knowledge, self-confidence, and critical thinking tendency were positively correlated with problem solving ability and proved the effectiveness of problem-based learning and simulation training. Therefore, education programs combining problem-based learning and simulation training on various topics should be developed and utilized.

• Korean Journal of Computational Design and Engineering
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• v.20 no.1
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• pp.11-21
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• 2015

Currently, the United States, the United Kingdom, Australia etc. are actively utilizing energy simulation for efficiency evaluation of building energy. However, domestic energy efficiency assessment system doesn't use energy simulation system properly at present: parameters based architecture plans and Ashrae Standard are inputted for the evaluation, because the input parameters for the simulation haven't been established yet. This fact causes poor reliability during energy simulation, as the values of the two standards are different from each other. Therefore, the aim of the study is to set domestic standard parameter for BIM-based energy performance evaluation, focusing on possession area per person of occupants at government office in Korea. We found that the difference among the result values occurred approximately 3% in the energy simulation. As a result of the analysis, possession area per person of occupants in Government office is $31.87m^2$. Other input parameters may be set based on this. This will increase the reliability of energy simulation through a domestic standard parameter.

• The Korean Journal of Emergency Medical Services
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• v.18 no.3
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• pp.91-104
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• 2014

Purpose: This study aimed to confirm the effects of a simulation-based program on knowledge and clinical performance in the post-operative management of emergency patients. Methods: This was a pre- and post-research design with a nonequivalent control group and randomly sampled 29 experimental and control groups, respectively from nursing department juniors for 4 weeks from September of 2014. The experimental group received lectures, team study, team simulation, and debriefing in post-operative management of simulation-based emergency patients and control group conducted in the traditional lecture-type setting. Educational learning effects were measured by using the knowledge and clinical performance measurement tools of 15 and 20 items, respectively. Data were analyzed by using the SPSS program, including frequency, ratio, and results from the Chi-square test, Fisher's exact test, Kolmogorov-Smirnov test, t-test. Results: Our research results indicate that, the experimental group showed significantly higher knowledge and clinical performance score compared with the control group. Conclusion: We confirmed that education on post-operative management of simulation-based emergency patients was an effective educational method to improve the knowledge and clinical performance of nursing students.

• Journal of the Korea Society for Simulation
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• v.22 no.4
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• pp.29-38
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• 2013

Modeling and simulation technology is being used in various fields. Especially in the field of military, Simulation-Based Acquisition (SBA) is recognized as a essential policy. To effectively carry out SBA, modeling and simulation techniques should be applied in the whole life-cycle for the weapon system development, and the framework and tools which can help the rapid component development and reusability are needed. In this research, we use the simulation framework based on modeling formalism for enhancement of reusability and a GUI-based modeling environment for rapid M&S component development. The Proposed framework can act as plug-in components on the basis of XML-based object model, so that the flexible design is possible for the change of the model and simulation structure. In addition, our methods are effective to implement the functions for supporting simulation such as the model data logging and communication with external systems. In this paper, we describe an architecture and functions for the framework and tools.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.525-537
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• 2020

This study aimed to determine the current state and characteristics of simulation-based operating processes in nursing education based on the Jeffries theoretical framework in South Korea by taking an integrated look at study findings in order to provide a scientific basis for future simulation-based operating processes. We searched eight databases, including the Korea Education and Research Information Service, National Library, Korean Studies Information Service System, National Digital Science Library, Korea Institute of Science and Technology Information, KOREAMED, and Korean Medical Database, using terms "simulation" and "nursing" as keywords in November 2017 in the Korean language. Sixteen studies were identified, reviewed, and appraised in this integrative review. The literature was categorized into these themes: general study characteristics, operation method, teaching and learning methods, subject characteristics, outcome variables, and theoretical framework. The simulation processes in nursing education in South Korea that were analyzed in this study did not fully reflect the main concepts suggested in the NLN Jeffries simulation framework. Thus, simulation program developers need to consider and incorporate a variety of strategies, based on the identification of essential components, to improve simulation effectiveness.

• Journal of the Society of Naval Architects of Korea
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• v.59 no.4
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• pp.200-206
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• 2022

This study is to develop database by an experimental method for the development of condition based maintenance for auxiliary equipment in marine engine systems. Existing ships have been performing regular maintenance, so the actual measurement data development is very incomplete. Therefore, it is best to develop a database on land tests. In this paper, a database developed by an experimental method is presented. First, failure case analysis and reliability analysis were performed to select a failure mode. For the failure simulation test, a test bed for land testing was developed. The failure simulation test was performed based on the failure simulation scenario in which the failure simulation test plan was defined. A 1.5TB failure simulation database has been developed, and it is expected to serve as a basis for ship failure diagnosis and prediction algorithm model development.

• Journal of the Korea Society for Simulation
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• v.22 no.2
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• pp.73-83
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• 2013

This paper presents design and implementation of the monitoring system for the distributed simulation of underwater warfare. As importance of defense modeling and simulation(M&S) has raised, Simulation-Based Acquisition(SBA) was authorized for an obligatory process in the development process of weapon systems. Yet, it requires tremendous resources to develop a large-scale simulation system that describes complex and broad battlefields. Therefore, an approach of the distributed system was devised to develop a new simulation system combining legacy simulators that were developed for confined purpose and sole operations. High-Level Architecture(HLA) of distributed systems is a standardized protocol by IEEE for the distributed simulation system and Run-Time Infrastructure(RTI) is an implementation of HLA to structure efficient distributed systems. The main objective of this paper is to derive appropriate monitoring factors for underwater warfare simulation, design and implementation of the monitoring system to analyze the factors based on HLA/RTI.

• Proceedings of the Korea Society for Simulation Conference
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• 2003.11a
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• pp.87-93
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• 2003

This paper reviews existing message-filtering schemes and presents a quantization-based message-filtering approach which reduces state update transmission and message traffic requirement. For a realization of the approach we develop a DEVS-based integrator which provides behavior and characteristic of the quantization-based approach. We take a spaceship and space traveling system as a case study to evaluate performance of the quantization-based approach. The approach is validated by DEVSJAVA simulations of the case study. The comparison of message traffic requirement between DTSS (Discrete Time System Specification)-based and DEVS-based systems apparently shows system performance improvement through the quantization-based approach.

• Fibers and Polymers
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• v.7 no.4
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• pp.436-441
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• 2006

An integrated platform for garment drape simulation system has been developed. In this system, garment patterns from conventional two-dimensional CAD systems can be assembled into a three-dimensional garment on a parametrically resizable realistic human body model. A fast and robust particle-based physical calculation engine has been developed for garment shape generation. Then a series of geometric and graphical techniques were applied to create realistic impressions on simulated garments. This system can be used as the rapid prototyping tool for garments in the future quick-response system.

• Journal of the Korea Society for Simulation
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• v.3 no.2
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• pp.1-13
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• 1994

Deep reasoning procedures are model-based, inferring single or multiple causes and/or timing relations from the knowledge of behavior of component models and their causal structure. The overall goal of this paper is to develop an automated deep reasoning methodology that exploits deep knowledge of structure and behavior of a system. We have proceeded by building a software environment that uses such knowledge to reason from advanced symbolic simulation techniques introduced by Chi and Zeigler. Such reasoning system has been implemented and tested on several examples in the domain of performance evaluation, and event-based control.