• Journal of the Korean Applied Science and Technology
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• v.36 no.3
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• pp.709-725
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• 2019

This study aimed to determine the effects of simulation-based practice education on nursing students' employability, career exploration behavior and decision-making self-efficacy. A non-equivalent control group pre-posttest of quasi-experimental design was used. A total of 120 nursing students located in J provinces, 60 students for the experimental group and 60 students for the control group. Study participants were a third-year student at college of nursing student. The experimental group participated in the study for 6 weeks. The results showed that the simulation-based practice education significantly improved employability(t=-2.31, p=.023) and career exploration behavior(t=-3.05, p=.003) of nursing students. However, there was no significant difference in the decision-making self-efficacy(t=-.87, p=.387). In conclusion, simulation-based practice education should be strengthened because it is useful for education of nursing students.

• Journal of the Korean Applied Science and Technology
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• v.39 no.2
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• pp.182-192
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• 2022

The purpose of this study was to investigate the effects of flow experience and learning competency on learning satisfaction after virtual simulation-based nursing practice education for the elderly. The subjects of this study were 72 nursing students and data were collected through online surveys from April 2 to May 7, 2021. Data were analyzed using the SPSS/WIN 24.0 program by descriptive statistics, Pearson's correlation, multiple regression analysis. As a result of the study, the learning satisfaction of nursing students after virtual simulation education showed a significant positive correlation with flow experience (r=.656, p<.001) and learning competency (r=.672, p<.001). The most influential factors on learning satisfaction were learning competency (𝛽=.459, p<.001) and flow experience (𝛽=.413, p<.001), and the explanatory power of the model was 60.9%. Therefore, in order to improve learning satisfaction after virtual simulation education, it is suggested to develop ways to promote flow experience in practice and improve individual learning capabilities.

• Journal of Navigation and Port Research
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• v.43 no.3
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• pp.143-152
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• 2019

In this paper, the towing stability of the LNG bunker barge was estimated. Currently, LNG bunkering barge is being developed for the bunkering of LNG (Liquefied Natural Gas), an eco-friendly energy source. Since the LNG bunkering barge assumes the form of a towed ship connected to the tow line, the towing stability of the LNG bunker barge is crucial f not only for the safety of the LNG bunker barge but also the neighboring sailing vessels. In the initial stages, a numerical code for towing simulation was developed to estimate the towing stability of the LNG bunkering barge. The MMG (Maneuvering Mathematical modeling Group) model was applied to the equations of motion while the empirical formula was applied to the maneuvering coefficients for use in the initial design stage. To validate the developed numerical code, it was compared with published calculation and model test results. Towing simulations were done based on the changing skeg area and the towing position of the LNG bunkering barge using the developed numerical codes. As a result, the suitability of the designed stern skeg area was confirmed.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2021.03a
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• pp.85-86
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• 2021

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.523-533
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• 2019

The convergence of engineering and IT technology has brought many changes to the industry as well as academic research. In particular, computer simulation technology has evolved to a level that can accurately simulate actual physical phenomena and analyze them in real time. In this paper, we describe the CFD technology, which is mainly used in industry, and the post processor that uses the augmented reality which is emerging as the post-processing. Research on the visualization of fluid simulation results using AR technology is actively being carried out. However, due to the large size of the result data, it is limited to researches that are published in a desktop environment. Therefore, it is limitation that needs to be reviewed in actual space. In this paper, we discuss how to solve these problems. We analyze the fluid analysis results in the post-processing, and then perform optimizing data (more than 70%)to support operation in the mobile environment. In the visualization, lightweight data is used to perform real-time tracking using cloud computing, The analysis result is matched to the screen and visualized. This allows the user to review and analyze the fluid analysis results in an efficient and immersive manner in the various spaces where the simulation is performed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.466-469
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• 2011

Recently, a new theoretical and methodological approach for computational science is becoming more and more popular for analyzing and solving scientific problems in various scientific disciplines such as Computational fluid dynamics, Chemistry, Physics, Structural Dynamics, Computational Design and applied research. Computational science is a field of study concerned with constructing mathematical models and quantitative analysis techniques and using large computing resources to solve the problems which are difficult to approach in a physical experimentally. In this paper, we present R&D of EDISON open integration platform that allows anyone like professors, researchers, industrial workers, students etc to upload their advanced research result such as simulation SW to use and share based on the cyber infrastructure of supercomputer and network. EDISON platform, which consists of 3 tiers (EDISON application framework, EDISON middleware, and EDISON infra resources) provides Web portal for education and research in 5 areas (CFD, Chemistry, Physics, Structural Dynamics, Computational Design) and user service.

• Journal of the Korea Society for Simulation
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• v.28 no.2
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• pp.131-137
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• 2019

The operation of the precision-guided missiles with seekers is becoming more and more dominant since the modern wars became geographically localized like anti-terror campaigns and civil wars. Imaging seekers are relatively low-price and applicable to various operational conditions. The image tracker, however, requires highly advanced method for the target tracking under harsh missile flight condition. Missile roll can reduce the tracking performance since it introduces big differences in imagery. The missile roll is inevitable because of the disturbance and flight control error. Consequently, the errors of the subsystems should be under control for the stable performance of the tracker and the whole system. But the performance prediction by some simple metric is almost impossible since the target signature and the tracker are highly nonlinear. We established M&S tool for a precision-guided missile with imaging seeker and analyzed the roll effects to tracking and system performance. Furthermore, we defined the specification of missile subsystems through error analysis to guarantee system performance.

• Journal of the Korea Institute of Military Science and Technology
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• v.11 no.2
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• pp.80-87
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• 2008

The LVC(Live, Virtual, Constructive) system of CTC(Combat Training Center) is at the very cutting edge of modeling and simulation technology, which has become widely accepted an enabler for a new military training transformation. In this paper, the architecture of LVC system is proposed for the Korean brigade-level CTC, and high level operational architecture, system architecture, and technical standard architecture are suggested.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2021.03a
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• pp.106-107
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• 2021

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.554-557
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• 2016

Recently, supercomputer has been increasingly adopted as a computing environment for scientific simulation as well as education, healthcare and national defence. Especially, supercomputing system with heterogeneous computing resources is gaining resurgence of interest as a next-generation problem solving environment, allowing theoretical and/or experimental research in various fields to be free of time and spatial limits. However, traditional supercomputing services have only been handled through a simple form of command-line based console, which leads to the critical limit of accessibility and usability of heterogeneous computing resources. To address this problem, in this paper, we provide the design and implementation of web-based HPC (High Performance Computing) job management framework for computational scientific simulation. The proposed framework has highly extensible design principles, providing the abstraction interfaces of job scheduler (as well as bundle scheduler plug-ins for LoadLeveler, Sun Grid Engine, OpenPBS scheduler) in order to easily incorporate the broad spectrum of heterogeneous computing resources such as cluster, computing cloud and grid. We also present the detailed specification of HTTP standard based RESTful endpoints, which manage simulation job's life-cycles such as job creation, submission, control and status monitoring, etc., enabling various 3rd-party applications to be newly created on top of the proposed framework.