• 한국컴퓨터정보학회논문지
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• 제23권1호
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• pp.103-109
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• 2018

The purpose of the study is to investigate the effect of a simulation training of BLS in paramedics in pre-hospital situation. This a nonequivalence control quasi-experimental study. The study subjects were 8 paramedics of experimental group and 8 paramedics of control group in K fire department. An informed consent was written by the subjects after explaining of the purpose of the study. The study methods consisted of conventional education and practice training. The conventional education was done for 30 minutes and the practice training was taken by four trainees of one group and the instructor demonstrated Basic Iife Support (BLS) performance for three minutes. Each trainer peformed BLS for ten minutes. In the beginning of the course, two paramedics got off from the ambulance and performed BLS including 5 cycles of Cardiopulmonary Resuscitation (CPR). Soon after the BLS, another two paramedics performed pre-hospital BLS survey. The education was guided by two professors of emergency medical technology, two Basic Iife Support instructors, and two emergency rescue directors. Pre-hospital BLS was measured by a 5-point Likert scale. Higher score means higher performance skills. The data were analyzed using SPSS/WIN 22.0 program set at significance level of p<05. The effect of simulation education was much more significant than the conventional education in BLS. The simulation education is very important and effective in improving the clinical performance skills of paramedics than the conventional education. The simulation education can provide the virtual environment of cardiac arrest to the paramedics. In conclusion, the simulation education can provide the effective teaching methods for various practice performance skills and solution by critical thinking in the paramedics and healthcare providers in the future.

• 천문학회보
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• 제45권1호
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• pp.38.2-38.2
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• 2020

Horizon Run 5 (HR5) is a cosmological hydrodynamical simulation which captures the properties of the Universe on a Gpc scale while achieving a resolution of 1 kpc. This enormous dynamic range allows us to simultaneously capture the physics of the cosmic web on very large scales and account for the formation and evolution of dwarf galaxies on much smaller scales. Inside the simulation box. we zoom-in on a high-resolution cuboid region with a volume of 1049 × 114 × 114 Mpc3. The subgrid physics chosen to model galaxy formation includes radiative heating/cooling, reionization, star formation, supernova feedback, chemical evolution tracking the enrichment of oxygen and iron, the growth of supermassive black holes and feedback from active galactic nuclei (AGN) in the form of a dual jet-heating mode. For this simulation we implemented a hybrid MPI-OpenMP version of the RAMSES code, specifically targeted for modern many-core many thread parallel architectures. For the post-processing, we extended the Friends-of-Friend (FoF) algorithm and developed a new galaxy finder to analyse the large outputs of HR5. The simulation successfully reproduces many observations, such as the cosmic star formation history, connectivity of galaxy distribution and stellar mass functions. The simulation also indicates that hydrodynamical effects on small scales impact galaxy clustering up to very large scales near and beyond the baryonic acoustic oscillation (BAO) scale. Hence, caution should be taken when using that scale as a cosmic standard ruler: one needs to carefully understand the corresponding biases. The simulation is expected to be an invaluable asset for the interpretation of upcoming deep surveys of the Universe.

• 문화기술의 융합
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• 제9권3호
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• pp.49-56
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• 2023

본 연구는 간호학과 학생을 대상으로 시뮬레이션 교육과정을 통해 간호의 본질과 의미를 탐색해 보는 질적 연구이다. 본 연구에서는 경상북도 M시 일개 대학 4학년의 간호학생으로 교육 과정 중 시뮬레이션을 이수한 18명의 학생을 대상으로 하였다. 자료 수집은 시뮬레이션 수업을 통해서 자신이 생각하는 간호의 부분을 파악해 보도록 하는 자유형식의 보고서와 인터뷰를 통하여 작성하도록 하였다. 수집된 자료는 Krippendorff의 현상학적 방법을 사용하여 분석하였다. 시뮬레이션 수업을 통한 간호 의미를 분석한 결과 3개 범주, 10개 주제, 28개 의미 있는 진술로 도출되었다. 3개의 범주는 '가상의 간호', '생각 하는 간호', '더불어 함께 하는 간호'로 도출되었다. 본 연구결과 간호학생들은 가상이라는 시뮬레이션을 통해 간호의 철학을 기반으로 예측 불가한 상황속의 간호를 풀어가는 나름의 해결책을 강구하고 있었다. 이는 추후 다양한 임상현장과 흡사한 다양한 사례를 심도 깊고 학생의 경험을 인식하는 시뮬레이션 교육의 프로그램을 개발과 이에 기초자료로 활용되기를 기대한다.

• 한국간호교육학회지
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• 제23권2호
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• pp.224-235
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• 2017

Purpose: This purpose of this study was to investigate the effectiveness of educational design according to Goal-based Scenario constituent elements such as educational goals, mission, cover story, role, scenario operation, resources, and feedback in simulation training. Methods: The subjects of this study were 130 nursing students in their senior year who enrolled in the simulation exercise I course. They were divided into a total of 10 groups in which less than 20 students were assigned. In order to verify the effectiveness of the simulation training through Goal-based Scenario instructional design, a design of non-equality control group was carried out. Results: The results of this study were as follows: Critical thinking (t=1.81, p=.073) and problem solving ability (t=1.79, p=.076), course satisfaction (t=8.61, p<.001) and academic performance (t=5.48, p=.001) were supported. Conclusion: This study applied a Goal-based Scenario simulation program to present clear objectives for simulating training and to advance learning methods that are appropriate to the current education environment. In addition, this study has significance in presenting an instructional model for various simulated practice education and can be used as useful basic data related to simulated training education.

• Journal of Construction Engineering and Project Management
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• 제3권3호
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• pp.23-34
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• 2013

As climate change and environmental pollution become one of the biggest global issues today, new renewable energy, especially solar photovoltaic (PV) system, is getting great attention as a sustainable energy source. However, initial investment cost of PV system is considerable, and thus, it is crucial to predict electricity generation accurately before installation of the system. This study analyzes the loss ratio of solar photovoltaic electricity generation from the actual PV system monitoring data to predict electricity generation more accurately in advance. This study is carried out with the following five steps: (i) Data collection of actual electricity generation from PV system and the related information; (ii) Calculation of simulation-based electricity generation; (iii) Comparative analysis between actual electricity generation and simulation-based electricity generation based on the seasonality; (iv) Stochastic approach by defining probability distribution of loss ratio between actual electricity generation and simulation-based electricity generation ; and (v) Case study by conducting Monte-Carlo Simulation (MCS) based on the probability distribution function of loss ratio. The results of this study could be used (i) to estimate electricity generation from PV system more accurately before installation of the system, (ii) to establish the optimal maintenance strategy for the different application fields and the different season, and (iii) to conduct feasibility study on investment at the level of life cycle.

• 한국콘텐츠학회논문지
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• 제13권11호
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• pp.236-248
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• 2013

본 연구의 목적은 표준화 환자를 활용한 신경계 환자 간호 시뮬레이션 학습을 위한 시나리오 개발과 그의 효과를 평가하기 위함이다. 단일군 사전 사후 설계이며 연구 참여자는 4학년 간호대학생이다. 본 연구는 자발성 뇌출혈 환자 사례의 시나리오를 개발하였고, 표준화 환자를 활용한 간호시뮬레이션 학습시나리오는 간호학생의 문제해결능력 및 임상수행능력을 향상시켰다. 본 연구를 통해 간호학생이 의식사정 등을 포함한 간호사정을 학습함으로써 보다 전문적인 간호사로 성장할 수 있는 계기가 될 수 있다는 점에서 의의가 있으며, 추후 표준화 환자를 활용한 시뮬레이션 학습 시나리오가 다양한 분야에서 개발되어야 함을 제언한다.

• 환경영향평가
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• 제8권1호
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• pp.29-40
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• 1999

This study focuses on one of typical energy-intensive industries, the cement industry. The purpose of the study is to propose $SO_2$ emission reduction measures in the cement industry. This study partially employed and modified AIM(Asia-Pacific Integrated Model) developed by Japan National Environmental Research Institute to develop AIM/KOREA SULFUR model for simulation. In the study, a base scenario, and mitigation scenarios(a use of low-sulfur contain fuel, fuel conversion to cleaner energy, an induction of desulfurization systems, and energy saving) were employed. The results of the simulation are summarized below: The sulphur dioxide emission from the cement industry in 1992 was estimated to be 106,000 metric tons; however, according to base scenario, sulphur dioxide emission is expected to be increased to 219,000 metric tons, which is 2.1 times greater than that in 1992 by year 2020. To alleviate such increasement, simulation results under various scenarios proved that some degrees of reduction may be possible by an induction of desulfulization systems although there may be numerous ways to interpretate the simulation results.

• Perspectives in Nursing Science
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• 제9권2호
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• pp.119-126
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• 2012

Purpose: The purpose of this study was to evaluate the effects of mechanical ventilation simulation on the clinical judgment and self-confidence of nursing students. Methods: This study was a quasi-experimental study. From one university, 118 undergraduate nursing students participated in this study. Sixty students were in the intervention group, and fifty-eight students were in the control group. A simulation scenario utilizing a high-fidelity human simulator focusing on nursing care for patients with a mechanical ventilator was developed for this study. Data were collected with a self-report survey method before the intervention, right after intervention, and two weeks later. Results: Students in the intervention group showed significantly higher increases in clinical judgment and self-confidence than those in the control group at the immediate posttest. Moreover, 2 weeks later, the increase in clinical judgment and self-confidence from the pretest among the intervention group was significantly larger than those in the control group. Conclusion: Utilizing simulation education focusing on patients with a mechanical ventilator may contribute to training more competent nurses in the area of critical care nursing. It may also serve to provide a better critical care environment for the safety and health of patients.

• 한국항만학회지
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• 제12권2호
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• pp.251-260
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• 1998

For the purpose of building the simulation model on cargo handling capacity in container terminal we composed a model of container logistics system which has a 4 subsystem; cargo handling transportation storage and gate complex system. Several data are used in simulation which were gained through a field study and a basic statistic analysis of raw data on BCTOC from January to Jane in 1998. The results of this study are as follows; First average available ratios of each subsystems were 50% for G/C, 57.5% for Y/T, 56% for storage system and 50% for gate complex. And there were no subsystems occurring specific bottleneck. Second comparing the results of simulation to the results of basic statistics analysis we can verifying the suitability of this simulation model. Third comparing the results of this study to the results of existed similar study in 1996, we were able to confirm the changes of container logistics system in BCTOC.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.375-385
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• 2013

As climate change and environmental pollution become one of the biggest global issues today, new renewable energy, especially solar photovoltaic (PV) system, is getting great attention as a sustainable energy source. However, initial investment cost of PV system is considerable, and thus, it is crucial to predict electricity generation accurately before installation of the system. This study analyzes the loss ratio of solar photovoltaic electricity generation from the actual PV system monitoring data to predict electricity generation more accurately in advance. This study is carried out with the following five steps: (i) Data collection of actual electricity generation from PV system and the related information; (ii) Calculation of simulation-based electricity generation; (iii) Comparative analysis between actual electricity generation and simulation-based electricity generation based on the seasonality; (iv) Stochastic approach by defining probability distribution of loss ratio between actual electricity generation and simulation-based electricity generation ; and (v) Case study by conducting Monte-Carlo Simulation (MCS) based on the probability distribution function of loss ratio. The results of this study could be used (i) to estimate electricity generation from PV system more accurately before installation of the system, (ii) to establish the optimal maintenance strategy for the different application fields and the different season, and (iii) to conduct feasibility study on investment at the level of life cycle.