• Journal of the Korea Society for Simulation
• /
• v.25 no.3
• /
• pp.15-28
• /
• 2016

It is necessary to analyze underwater acoustics channel(UAC) modeling and simulation for underwater weapon system development and acquisition. In order to analyze UAC, there are underwater acoustics propagation numerical analysis models(Ray theory, Parabolic equation, Normal-mode, Wavenumber integration). However, If these models are used for multiple frequency signal analysis, they are inaccurate to calculate result of analysis effectiveness and restricted for signal processing and analysis. In this paper, to overcome this problem, we propose simple/multiple frequency signal analysis model of the Pseudospectral Time-Domain Method synthetic environment UAC applied to underwater environment noise model as like as realistic underwater environment. In order to confirm the validation of the model, we performed the 9 scenarios simulation(4 scenarios of single frequency signal, 4 scenarios of multiple frequency signal, 1 scenario of single/multiple frequency signal like submarine radiated noise) for validation and confirmed the validation of this model through the simulation model.

• Journal of Digital Convergence
• /
• v.19 no.1
• /
• pp.229-237
• /
• 2021

The purpose of this study is to verify the effects of Simulation-based Chest Tube Drainage Management Nursing Education on the Nursing Students' Response to Scenario Experiences, Confidence in Learning, and Problem Solving Abilities. This study was performed with a one-group pretest-posttest design, and a total of 133 junior nursing students have participated in the research (31 teams of simulation-based education). According to the results of the study, most of the students have shown a positive response to the scenario experience after the simulation training, while their confidence in learning and problem-solving skills have improved significantly. This proves that simulation-based training using simulators can be very effective in practical nursing training. It is expected that this research could make a meaningful contribution to improving the overall quality of field-oriented practical training and clinical practice.

• Proceedings of the Korean Information Science Society Conference
• /
• 2001.04a
• /
• pp.760-762
• /
• 2001

본 논문은 침입 시나리오를 모델하고, 침입의 진행을 시뮬레이션할 수 있는 IDPN을 제안한다. 제안된 IDPN은 기존의 상태변환 다이어그램[1]이나, 퍼지 페트리 넷[2]의 기능을 강화한 것으로, 협동침입과 재침입을 탐지할 수 있고, 침입의 진행에 따른 경고를 발생할 수 있다는 장점이 있다.

• Journal of Internet Computing and Services
• /
• v.24 no.6
• /
• pp.107-117
• /
• 2023

It must be possible to assess how combat actions taking place in cyberspace affect the military's major mission systems and weapon systems. In order to analyze the mission impact caused by a cyber attack through cyber M&S, the target mission system and cyber warfare elements must be built as a model and a scenario for simulation must be authored. Many studies related to mission impact analysis due to cyber warfare have been conducted focusing on the United States, and existing studies have authored separate scenarios for physical battlefields and cyber battlefields. It is necessary to build a simulation environment that combines a physical battlefield model and a cyber battlefield model, and be able to integrate and author mission scenarios and cyber attack/defense scenarios. In addition, the physical battlefield and cyber battlefield are different work areas, so authoring two types of scenarios for simulation is very complicated and time-consuming. In this paper, we propose a method of using mission system information to prepare the data needed for scenario authoring in advance and using the pre-worked data to author an integrated scenario. The proposed method is being developed by reflecting it in the design of the scenario authoring tool, and an integrated scenario authoring in the field of counter-fire warfare is being performed to prove the proposed method. In the future, by using a scenario authoring tool that reflects the proposed method, it will be possible to easily author an integrated scenario for mission impact analysis in a short period of time.

• The KIPS Transactions:PartA
• /
• v.9A no.4
• /
• pp.519-524
• /
• 2002

In this paper we study the qualify of sequential coverage analysis under a scenario of distributed stochastic simulation known as MRIP(Multiple Replications In Parallel) in terms of the confidence intervals of coverage and the speedup. The estimator based in the F-distribution was applied to the sequential coverage analysis of steady-state means. in simulations of the $M/M/1/{\infty},\;M/D/I/{\infty}\;and\;M/H_{2}/1/{\infty}$ queueing systems on a single processor and multiple processors. By using multiple processors under the MRIP scenario, the time for collecting many replications needed in sequential coverage analysis is reduced. One can also easily collect more replications by executing it in distributed computers or clusters linked by a local area network.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.13 no.11
• /
• pp.5163-5168
• /
• 2012

The aim of this study is to develop the supply-demand model(dynamic recursive simulation model) on the Hallabong tangor. In order to analyze the effects of alternative policy scenarios on the Hallabong tangor sector. Simulation runs were experimented for the period, 2011~2021, with three different scenarios. The major simulation results are as follows. The results of baseline show that in the year, 2021, acreage, production, price received by farm would be 2,051.5ha, 62,049.1 ton, 2,537.4 won per kg respectively. The results of scenario I (shipping control scenario) show that in the year, 2021, acreage, production, price received by farm would be 2,079.4ha, 62,984.9 ton, 2,836.3 won per kg respectively. The results of scenario II(the rate of economic growth 3.5%) show that in the year, 2021, acreage, production, price received by farm would be 2,039.5ha, 61,647.5 ton, 2,417.3 won per kg respectively. Finally, The results of scenario III(Survey of experts) show that in the year, 2021, acreage, production, price received by farm would be 2,053.7ha, 62,124.4 ton, 2,574.8 won per kg respectively. Therefore, economic recession can be a negative role in the industrial growth and price of Halabong tangor, but expansion of Hallabong tagor's export and processing can be a very positive role in the industrial growth and price of Halabong tangor.

• Journal of The Korean Society of Grassland and Forage Science
• /
• v.42 no.1
• /
• pp.1-9
• /
• 2022

This study was carried out to compare the DMY (dry matter yield) of IRG (Italian ryegrass) in the southern coastal regions of Korea due to seasonal climate scenarios such as the Kaul-Changma (late monsoon) in autumn, extreme winter cold, and drought in the next spring. The IRG data (n = 203) were collected from various Reports for Collaborative Research Program to Develop New Cultivars of Summer Crops in Jeju, 203 Namwon, and Yeungam from the Rural Development Administration - (en DASH). In order to define the seasonal climate scenarios, climate variables including temperature, humidity, wind, sunshine were used by collected from the Korean Meteorological Administration. The discriminant analysis based on 5% significance level was performed to distinguish normal and abnormal climate scenarios. Furthermore, the DMY comparison was simulated based on the information of sample distribution of IRG. As a result, in the southern coastal regions, only the impact of next spring drought on DMY of IRG was critical. Although the severe winter cold was clearly classified from the normal, there was no difference in DMY. Thus, the DMY comparison was simulated only for the next spring drought. Under the yield comparison simulation, DMY (kg/ha) in the normal and drought was 14,743.83 and 12,707.97 respectively. It implies that the expected damage caused by the spring drought was about 2,000 kg/ha. Furthermore, the predicted DMY of spring drought was wider and slower than that of normal, indicating on high variability. This study is meaningful in confirming the predictive DMY damage and its possibility by spring drought for IRG via statistical simulation considering seasonal climate scenarios.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2002.05a
• /
• pp.590-597
• /
• 2002

LNG고압펌프계통은 천연가스 고압 송출에 있어 가용도가 매우 중요한 계통이다. 본 연구에서는 현재 적용되고 있는 예방(계획)정비주기를 가용성 측면에서 재검토했다. 확률적인 운전대수와 운전 및 보전 형태에 연관된 여러제약이 고려할 때 계통 불가용도를 정량화하기 위하여 시뮬레이션 기법을 적용했다. 중도 절단된 형태의 펌프 수명 데이터를 분석해 욕조형의 고장율 함수를 도출했으며 보수시간 데이터를 분석해 확률분포모수를 구했다. 또한 주요 펌프부대설비에 대해서는 상수형의 고장율과 보전율을 도출했다. 분석된 확률모수를 작성된 시뮬레이션 모형에 입력하고 과거의 운전대수 시나리오를 설정해 실험한 결과와 실제 보수 및 운전 자료를 비교해 모형의 유효성을 보였다. 그리고 차후 예상되는 운전요구대수 시나리오를 기정하고 각 예방정비주기별로 반복 실험하여 계통의 불가용도를 보이고 적합한 예방정비주기를 도출했으며 펌프부품 교체비용의 기대 절감액을 보였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2022.06a
• /
• pp.115-116
• /
• 2022

자율운항선박 원격제어시스템 구현을 위해서는 통신네트워크의 활용은 필수적이다. 하지만 현재 VSAT, LTE, WIFI를 활용한 통신네트워크의 방해요인중 하나는 시간지연이다. 다양한 연구를 통해 시간지연의 측정과 감소를 위한 연구가 진행중에 있다. 본 연구에서는 이러한 시간지연에 따라 항해사의 제어형태를 파악하기 위한 준비단계로 해양사고 재결서를 통해 분석한 결과를 바탕으로 시나리오를 개발하여 시뮬레이션을 통한 선박조종성능 만족도 평가를 시행하였다. 향후 이를 바탕으로 시간지연에 따라 원격제어자에게 선박조종성능을 저해하는 요인을 식별하고 이를 제거 및 방지하기 위한 방법에 대해 제안하고자 한다.

• Journal of Digital Convergence
• /
• v.10 no.4
• /
• pp.287-295
• /
• 2012

This study aims to develop the methods for effective patient flow in the medical center through simulation modeling. To achieve this, we developed three simulation scenarios based on max/min processing time and addition of X-ray by 15 patient tracks from real hospital data. The simulation software used in this study is Flexsim HC 2.7. According to the scenario 1 on 15 patient tracks' LOS by max processing time, there is a great difference between average length of stay(LOS) and max LOS. And average LOS increases greatly depending on the number of patients by the hours. There is no need to add extra X-ray because the addition of X-ray has not much influence in average LOS. It is possible to make good decisions on patient flow management and medical equipment purchasing through simulation modeling. The concrete simulation scenario as a tool for decision support will contribute to efficiency in hospital management.