• The Journal of Korean Academic Society of Nursing Education
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• v.18 no.2
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• pp.206-219
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• 2012

Purpose: Incorporating simulation modalities into nursing education is known to be effective in enhancing education outcomes. Standardizing the nomenclature of simulation modalities and developing a comprehensive conceptual framework for guiding the development of simulation modules are mandated given the prevalence and disorganization of simulation education. This article, thus, was aimed to summarize literature and propose a conceptual framework for structuralizing simulation education in Korea. Methods: A comprehensive literature review on CINAHL, PubMed, RISS, KISS, DBpia and renowned Korean nursing journals was conducted including articles from 2002 to 2011. Results: The nomenclature of simulation modalities was clarified and summarized. Twenty-eight studies on the effects of simulation education were summarized in a table demonstrating the state of the science in simulation research. In addition, 'a conceptual framework for three-dimensional nursing simulation education' was proposed, described in detail, and diagramed. According to 'the 3D simulation framework', each three axes, i.e., the scope of practice, complexity, and student competency, has three phases in accomplishing a high level of competency. Conclusion: The proposed '3D simulation framework' is hoped to be a theoretical guide in designing a clinical curriculum utilizing simulation and developing detailed simulation modules in clinical practicum courses.

• International Journal of Naval Architecture and Ocean Engineering
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• v.8 no.5
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• pp.496-510
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• 2016

Simulation technology is a type of shipbuilding product lifecycle management solution used to support production planning or decision-making. Normally, most shipbuilding processes are consisted of job shop production, and the modeling and simulation require professional skills and experience on shipbuilding. For these reasons, many shipbuilding companies have difficulties adapting simulation systems, regardless of the necessity for the technology. In this paper, the data model for shipyard production simulation model generation was defined by analyzing the iterative simulation modeling procedure. The shipyard production simulation data model defined in this study contains the information necessary for the conventional simulation modeling procedure and can serve as a basis for simulation model generation. The efficacy of the developed system was validated by applying it to the simulation model generation of the panel block production line. By implementing the initial simulation model generation process, which was performed in the past with a simulation modeler, the proposed system substantially reduced the modeling time. In addition, by reducing the difficulties posed by different modeler-dependent generation methods, the proposed system makes the standardization of the simulation model quality possible.

• Journal of the Korea Institute of Military Science and Technology
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• v.19 no.2
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• pp.244-251
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• 2016

In defense domain, mission level and engagement level simulation tools exist. In order to experiment a simulation scenario for obtaining results of both mission level and engagement level simulations, we should write a same simulation scenario in a mission level simulation tool as well as an engagement level simulation tool, and we have to operate these tools for analysis of each purpose. Moreover, we could not guarantee that these scenarios are completely same since each scenario is composed of different fidelities of simulation models, although the scenarios are written by a same experimenter and with same simulation purpose. To deal with the difficulties, I propose an approach to analysis of both mission level and engagement level simulations from one simulation result. For this, I have built Composite Combat Mission Planning Simulation Environment (CCMPSE). In this paper, the HLA/RTI based simulation composition technology and my experiences for the designed Composite Combat Mission Planning Simulation Control System (CCMPSCS) are explained. Moreover, This paper also conducts a case study with EADSIM, SADM, and the CCMPSCS. Finally, this paper provides lesson learned from the case study.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.10a
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• pp.349-353
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• 2001

There are many excellent characters of Java-based simulation compared with existing ones in the respect of running on the Internet/Web, reuse, integration and etc.. In this paper, the main idea of design and realization of Java-based modeling and simulation software for DEVS will be discussed in detail.

• The Journal of Korean Academic Society of Nursing Education
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• v.23 no.1
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• pp.95-107
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• 2017

Purpose: The aim of this study was to assess the efficacy of web-based simulation and high-fidelity simulation on acute heart disease patient care. Methods: The project used a comparative study design with two simulation-based training modalities. A total of 144 nursing students participated in this study: 76 students in a web-based simulation, and 68 students in a high-fidelity simulation. Participants rated their self-efficacy, problem-solving ability, interest in learning, level of stress, satisfaction with the simulation experience, and level of difficulty of the simulation. Results: The scores for self-efficacy, problem-solving ability, and interest in learning including interest in clinical training in the high-fidelity simulation group was higher than in the web-based simulation group. However, there were no significant differences in interest in learning, including interest in nursing knowledge, and in lab training, level of stress, satisfaction with the simulation experience, and level of difficulty of the simulation. Conclusion: A high-fidelity simulation of acute heart disease patient care might be beneficial to developing many more abilities for nursing students than would a web-based simulation. Also, since the web-based simulation improved interest in nursing knowledge, it could be a viable alternative to high-fidelity simulation. Further study is needed to verify the effects of varied levels of simulation-based care with more rigorous outcomes.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.10a
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• pp.484-484
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• 2001

The sophistication of current software applications results in the increasing cost fur software development time. The component-based software development framework is proposed to overcome the difficulty and time-consuming requirements by modularity and reusability. As is the general software case, a component-based simulation framework encourages the reusability of the real system model based on the modularity of the applied simulation methodology. This paper presents a component-based simulation environment that is based on the DEVS/COM run-time infrastructure. The DEVS (Discrete Event System Specification) formalism provides a formal modeling and simulation framework for the generic dynamic systems [1] and Microsoft's COM (Component Object Model) is one of the strongest competitor fur the component standard. The reusability by the DEVS/COM simulation environment saves model development time remarkably and component technology make simulator itself to be a subparts of real application.

• Journal of the Korea Society for Simulation
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• v.8 no.4
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• pp.33-51
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• 1999

In this study, the system level network simulation is considered with adaptive array antenna in CDMA mobile communication system. A network simulation framework is implemented based on IS-95A/B system to consider dynamic handoff, system level network behavior, and deploying strategy into the overall CDMA mobile communication network under adaptive array algorithm. Its simulation model, such as vector channel model, adaptive beam forming antenna model, handoff model, and power control model, are described in detail with simulation block. In order to maximize SINR of received signal at antenna, Maximin algorithm is particularly considered, and it is computed at each simulation snap shot with SINR based power control and handoff algorithm. Graphic user interface in this system level network simulator is also implemented to define the simulation environments and to represent simulation results on real mapping system. This paper also shows some features of simulation framework and simulation results.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.3
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• pp.73-80
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• 2014

In this paper, we propose an incremental simulation method in event-driven HDL simulation to reduce the simulation execution time. In general, the simulation is repeated with a series of design changes. Incremental simulation is an efficient simulation method that shortens the simulation execution time for the following simulation by using the result of previous simulation. We have observed the effectiveness of the proposed approach through the experimentation with multiple real designs.

• Proceedings of the Korea Society for Simulation Conference
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• 1994.10a
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• pp.12-12
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• 1994

Simulation output knowledge analysis is one of problem-solving and/or knowledge adquistion process by investgating the system behavior under study through simulation . This paper describes an approach to simulation outputknowldege analysis using fuzzy neural network model. A fuzzy neral network model is designed with fuzzy setsand membership functions for variables of simulation model. The relationship between input parameters and output performances of simulation model is captured as system behavior knowlege in a fuzzy neural networkmodel by training examples form simulation exepreiments. Backpropagation learning algorithms is used to encode the knowledge. The knowledge is utilized to solve problem through simulation such as system performance prodiction and goal-directed analysis. For explicit knowledge acquisition, production rules are extracted from the implicit neural network knowledge. These rules may assit in explaining the simulation results and providing knowledge base for an expert system. This approach thus enablesboth symbolic and numeric reasoning to solve problem througth simulation . We applied this approach to the design problem of broadband communication network.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.6
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• pp.473-479
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• 2013

This paper introduces user intervention to control simulation states during the execution of a simulation for military engagements. In an engagement simulation, it covers both a discrete event system and a continuous state system. Thus a system for the engagement simulation can have numerous simulation states, because there are lots of factors to decide states of an engagement that are derived during an execution of the simulation (e. g. detection probability, moving speed, moving path, and so on). It means both a result and progression of simulations are important outputs. Configuration of an engagement simulation scenario and expectation of simulation states, though, is hindered by the number of generate-able states. In order to solve the obstacle, the engagement simulation system should be controllable by user intervention during a simulation execution. This paper is to define objects of user intervention, and to design control processes of defined objects.