• Proceedings of the Korea Society for Simulation Conference
• /
• 2003.11a
• /
• pp.127-132
• /
• 2003

현재의 네트워크는 다양한 서버, 라우터, 스위치 등 여러 장치들로 구성된 복잡한 구조를 가지고 있다. 정책 기반의 프레임워크는 복잡한 네트워크를 단순화하고 자동화하여 관리할 수 있는 도구를 제공한다. 본 논문에서는 여러 보안 시스템 모델들이 사용할 수 있는 취약성 정보들을 집약시킴으로써 보안 시스템간의 정보 공유를 쉽게 할 수 있는 SVDB (Simulation based Vulnerability Data Base)를 구축하였다. 또한 SVDB를 활용하여 보안 규칙을 유도하고 유도된 보안 규칙을 정책 기반 프레임워크에 적용할 수 있는 환경을 구성하였다. 정책 기반의 프레임워크에서 취약점 데이터베이스를 이용한 정책 유도와 적용을 검증하기 위해 서비스 거부 공격 (Denial of Service)과 Probing 공격을 사용하여 시뮬레이션을 수행하였다. 정책 기반의 프레임워크에서 보안 시뮬레이션을 수행함으로써 적용될 보안 정책이 기대되는 대로 동작하는지 검증할 수 있는 환경을 제공할 수 있을 것이다.

• Nuclear Engineering and Technology
• /
• v.51 no.5
• /
• pp.1436-1443
• /
• 2019

A fast gamma-ray dose rate assessment method for complex geometries based on stylized model reconstruction and point-kernel method is proposed in this paper. The complex three-dimensional (3D) geometries are imported as a 3DS format file from 3dsMax software with material and radiometric attributes. Based on 3D stylized model reconstruction of solid mesh, the 3D-geometrical solids are automatically converted into stylized models. In point-kernel calculation, the stylized source models are divided into point kernels and the mean free paths (mfp) are calculated by the intersections between shield stylized models and tracing ray. Compared with MCNP, the proposed method can implement complex 3D geometries visually, and the dose rate calculation is accurate and fast.

• Wind and Structures
• /
• v.31 no.6
• /
• pp.549-560
• /
• 2020

Methods for stochastic simulation of non-Gaussian wind pressure have increasingly addressed the efficiency and accuracy contents to offer an accurate description of the extreme value estimation of the long-span and high-rise structures. This paper presents a linear prediction and z-transform (LPZ) based Cumulative distribution function (CDF) mapping algorithm for the simulation of multivariate non-Gaussian fluctuating wind pressure. The new algorithm generates realizations of non-Gaussian with prescribed marginal probability distribution function (PDF) and prescribed spectral density function (PSD). The inverse linear prediction and z-transform function (ILPZ) is deduced. LPZ is improved and applied to non-Gaussian wind pressure simulation for the first time. The new algorithm is demonstrated to be efficient, flexible, and more accurate in comparison with the FFT-based method and Hermite polynomial model method in two examples for transverse softening and longitudinal hardening non-Gaussian wind pressures.

• Journal of Multimedia Information System
• /
• v.7 no.4
• /
• pp.263-268
• /
• 2020

This paper introduces an event modeling and simulation system using behavior trees. The system aims to overcome the limitations of existing fixed, simple scenario-based training content, and to extend the behavior of objects to enable various experience deployments. To achieve this goal, we made specific tasks of behavior trees can change according to users' reaction and developed an adaptive simulation module that can analyze and execute behavior trees that changes at runtime. In order to validate our approach, we applied the adaptive behavior tree simulation to the scenarios in our virtual reality simulation-based fire training system we have been developing and demonstrated the implementation results.

• Nuclear Engineering and Technology
• /
• v.56 no.7
• /
• pp.2516-2523
• /
• 2024

This study aims to validate the dosimetric characteristics of Low Dose Rate (LDR) I-125 source Geant4-based Monte Carlo code. According to the recommendation of the American Association of Physicists in Medicine (AAPM) task group report (TG-43), the dosimetric parameters of a new brachytherapy source should be verified either experimentally or theoretically before clinical procedures. The simulation studies are very important since this procedure delivers a high dose of radiation to the tumor with only a minimal dose affecting the surrounding tissues. GEANT4 Monte Carlo simulation toolkit associated brachytherapy example was modified, adapted and several updated techniques have been developed to facilitate and smooth radiotherapy techniques. The great concordance of the current study results with the consensus data and with the results of other MC based studies is promising. It implies that Geant4-based Monte Carlo simulation has the potential to be used as a reliable and standard simulation code in the field of brachytherapy for verification and treatment planning purposes.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.23 no.2
• /
• pp.224-235
• /
• 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.

• IE interfaces
• /
• v.15 no.3
• /
• pp.230-240
• /
• 2002

Information technologies centered on the internet in the area of shipbuilding and marine engineering further incur the needs to increase the flexibility of the organization, the dispersion of work process, and the use of out sourcing, as well as the globalization of related market. In near future, electronic commerce and concurrent engineering based on CALS/EC and the Internet will be an integral part of the environment and upon these changes, ship design and construction will become a computer supported cooperative work of many dispersed and specialized groups. As the means of active response to these environmental changes, many new concepts such as digital shipbuilding, virtual shipyard, and simulation based design are appearing. In this paper, the concept and current status of digital manufacturing in general manufacturing industry will be reviewed. Then, related technologies, area of application and methods of digital manufacturing in shipbuilding and marine industries are presented. In addition, virtual assembly simulation system for shipbuilding(VASSS), a tool for crane operability and block erection simulation in virtual dock based on 3D product model, will be introduced.

• Journal of the Korean Applied Science and Technology
• /
• v.35 no.1
• /
• pp.20-35
• /
• 2018

This study was conducted to investigate the relationship among debriefing of nursing simulation based education and vocational basic competencies and attempts have been made to provide basic data necessary for improving vocational basic competencies in nursing students. Participants were 203 4th-year nursing students at K college in J province. Debriefing of nursing simulation based education was positively correlated with vocational basic competencies. The factor influencing vocational basic competencies of nursing students was provokes engaging discussions. Based on these findings, programs that develop discussion activity of nursing simulation based education are necessary for nursing students to promote vocational basic competencies.

• Journal of Construction Engineering and Project Management
• /
• v.3 no.3
• /
• pp.23-34
• /
• 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.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.18 no.1
• /
• pp.14-24
• /
• 2012

Purpose: This study was conducted to identify the effect of simulation-based education relevant to the care of patients with acute renal failure (ARF) for third-year nursing students. Methods: This study was a non-equivalent control pre-posttest design. Based on the clinical situation scenarios pertaining to patients with ARF, a simulation-based learning module was developed using Human Patient Simulator version 6 (HPS6) manufactured by Medical Education Technologies Inc. The pretest was conducted so as to evaluate the difference in prior knowledge and clinical competence between two groups. The control group consisted of 91 students during the 2010 academic year and the experimental group consisted of 94 students during the 2011 academic year. Data were analysed using SPSS/win 10.1. Results: In the experimental group, knowledge related to care for ARF patients was not significantly increased; however, clinical competence improved significantly for the experimental group. Conclusion: In conclusion, the simulation-based education program was effective in contributing towards the development of clinical competence. Increased development of clinical competence is vital for today's clinical environment where nursing professionals need the necessary knowledge, thinking, and performance skills to meet the needs of the hospital and their patients.