• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.29-35
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• 2011

In this paper, an integrated simulation model for designing multi-agent system based DEMS (distributed energy management system) in stand-alone micro-grid system is proposed. In the design of the EMS(energy management system), the multi-agent based DEMS are more effective than conventional centralized EMS, but it is difficult to design the DEMS by general design tools for power system because of various states of a microgrid system during operation of stand-alone mode. Also, since performance test of the DEMS using a real system is inefficient, an integrated simulation model is required for designing an effective multi-agent system based DEMS. The proposed model consists of Matlab/SimPowerSystems based simulation model of the microgrid system and the Multi-agnet based DEMS designed by Matlab/StateFlow tool. In order to show the effect of the proposed model, the model outputs are analyzed for specified operation conditions.

• Journal of the Korea Society for Simulation
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• v.16 no.4
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• pp.23-31
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• 2007

Anti-Air Warfare(AAW) functionality of the naval combat system is the key functionality to ensure the ship's survivability. We have applied a novel method using model-based-simulation to analyze and design AAW functionality of the Patrol Killer Experimemnt Combat System. In this approach, an AAW functional model is described with the FSM(Finite State Machine) and directly executed for the AAW simulation. After prototyping using model based simulation, Hardware In Loop Simulation(HILS) is conducted as the AAW functionality is interfaced with the other ones of the combat system for completing the integration of the system components. This incremental and iterative development approach based on the model based simulation can minimize the development risks and costs caused by the system complexity for military system, bringing out the merit of the rapid prototyping.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.326-326
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• 2004

시뮬레이션과 가상 엔지니어링을 활용하여 공작기계 및 생산시스템의 초기 개발기간 또는 기존의 생산시스템의 변경기간을 단축하는 동시에 진단, 관리 기술에도 응용하여 생산시스템의 신뢰도를 높이기 위해서 시뮬레이션을 기반으로 하는 공작기계의 설계 및 관리도구가 필요하고 또 이 프레임을 일관되고 효율적으로 설계하고 구성하기 위해서 공작기계의 시뮬레이션 모델이 필요하다.(중략)

• Proceedings of the Korea Society for Simulation Conference
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• 1998.10a
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• pp.51-56
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• 1998

본 연구는 산림, 기상, 지형, 소방 정보 등을 토대로 최적의 산불 진화 전략 수립을 위한 산불 진화 전문가 시스템의 설계 방법론 제시를 주목적으로 한다. 기존의 산불 정보 시스템들은 GIS 데이터와 기상 관련 데이터, 산불 발생 지점에 대한 지형 데이터를 이용하여, 산불 확산에 따른 피해 정도 및 확산 범위에 예측을 목표로 접근하고 있다. 그러나, 이를 활용하여 최적의 진화 전략을 생성시킬 수 있는 연구는 아직까지 제시된 바가 없다. 따라서 본 연구에서는 기존의 산불 정보 시스템을 기반으로 이산 사건 모델링 및 시뮬레이션 기법, 규칙기반 SES (RUSES: Rule-based System Entity Structure), 그리고 유전 알고리즘 등을 이용하여 최적의 산분 진화 전략을 생성할 수 있는 산불 진화 전문가 시스템의 설계 방법론을 제안한다.

• Journal of the Korea Society for Simulation
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• v.29 no.3
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• pp.27-40
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• 2020

When analyzing the effectiveness of a defense system in a virtual battlefield with a simulation model is referred to as forward simulation, reverse simulation is required to design a good defense system with high effectiveness. That is, using the simulation model, it is necessary to find the engineering factors, measures of performance, and operational tactics that are demanded to achieve high effectiveness of the system. However, the efficiency of reverse simulation is still a concern since many replications of forward simulation are required for conducting reverse simulation. In this paper, we introduce various efficient algorithms to reduce the number of replications and a reverse simulation tool for utilizing these algorithms easily. The tool allows practitioners to easily and efficiently conduct reverse simulation for design a good defense system based on simulation models. This is demonstrated with the case studies on the design of warship's defense system and the design of military network system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.357-360
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• 2022

본 논문에서는 대용량 데이터에서 빠르게 주변 데이터를 접근하기 위한 자료구조인 최근접 이웃 탐색(Nearest neighbor search, NNS) 문제를 빠르게 풀 수 있는 바이토닉 정렬(Bitonic sort) 기반 해시 테이블을 GPU기반에서 설계하는 방법과 이를 통해 입자 기반 물리 시뮬레이션을 고속화할 수 있는 방법에 대해 살펴본다. 본 논문에서는 CUDA 아키텍처를 이용하여 해시 테이블을 설계하였으며, 계산양이 가장 큰 데이터 정렬부분을 최적화함으로써 NVIDIA에서 제공하는 CUDA 해시 테이블보다 빠른 결과를 얻을 수 있으며, 이 자료구조를 입자 기반 시뮬레이션에 통합함으로써 고성능 시뮬레이션을 쉽게 제작할 수 있다.

• Journal of the Korea Society for Simulation
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• v.24 no.1
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• pp.9-16
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• 2015

In this paper, the multi-resolution simulation of standard linkage architecture is consists of the engineering-level (QUEST), engagement-level (SADM), the mission-level (EADSIM). It was developed the engineering-level model using battle experiment integrated development environment in the battle experimental engineering system. The engagement level model was developed using the SADM and the mission-level model was developed using EADSIM. The standard linkage architecture is designed and implemented in order to interlocking model of multiple layers. Each different simulation programs in a distributed environment was designed by HLA interface specifications for satisfying interworking. Also the integrated interoperation gateway was developed for relaying the each different simulation programs. The effective naval weapon system for measure of effectiveness develops using to improve the fidelity of the model between the various layers through multi-resolution interoperation simulation. According to the operator requirement is quickly battlefield environment can be constructed. The other simulation program that being designed through standards linkage architecture can linkage easily and efficiently.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.05a
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• pp.55-61
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• 2001

본 논문에서는 시뮬레이션 기반 최적화에서 유전자 알고리즘을 이용하여 후보 모델을 자동으로 생성하는 기법을 제안하였다. 이 방법론은 잘 알려진 계획-생성-평가의 틀을 기반으로 구축되었다. 계획은 확장된 AND-OR 트리(AND, OR, Multiple AND 노드를 갖는 트리)를 이용하여 가능한 모든 후보 모델을 표현하였고, 이러한 트리 상에서 후보 모델을 자동생성하기 위하여 유전자 알고리즘을 사용하였다. 마지막으로 생성된 후보 모델을 평가하기 위하여, 시뮬레이션을 수행하였다. 시뮬레이션을 이용한 평가를 통하여 목적에 맞는 후보 모델을 찾을 수 있게 된다. 본 논문에서 제시한 방법론의 효율성은 DSP 프로세서 설계 예제를 통하여 보여주었다.

• Journal of the Korea Society for Simulation
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• v.22 no.4
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• pp.39-47
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• 2013

Simulation based Battle Experimentation is to examine the readiness for a battle using simulation technology. It heavily relies on the weapon systems modeling and simulation. To analyze the characteristics and complexity of the weapon systems in the experiment, the modeling & simulation environment has to be able to break down the system of systems into components and make the use of high fidelity components such as real hardware in simulation. In that sense, the modular and hierarchical structure of DEVS (Discrete EVent System Specification) framework provides potentials to meet the requirements of the battle experimentation environment. This paper describes the development of the DEVS integrated development environment for Simulation based Battle Experimentation. With the design principles of easy, flexible, and fast battle simulation, the newly developed battle experimentation tool mainly consists of 3 parts - model based graphical design tool for making DEVS models and linking them with external simulators easily through diagrams, the experiment plan tool for speeding up a statistic analysis, the standard components model libraries for lego-like building up a weapon system. This noble simulation environment is to provide a means to analyze complex simulation based experiments with different levels of models mixed in a simpler and more efficient way.

• Journal of the Korea Computer Graphics Society
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• v.25 no.3
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• pp.55-63
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• 2019

Recently, the GPU computing method has been utilized to improve the performance of the physics simulation field. In particular, in the case of a deformed object simulation requiring a large amount of computation, a GPU-based parallel processing algorithm is required to guarantee real-time performance. We have studied the parallel structure design method to improve the performance of the mass spring simulation method which is one of the methods of implementing the deformation object simulation. We used OpenGL's GLSL, a graphics library that allows direct access to the GPU, and implemented the GPGPU environment using an independent pipeline, the compute shader. In order to verify the effectiveness of the parallel structure design method, the mass - spring system was implemented based on CPU and GPU. Experimental results show that the proposed method improves computation speed by about 6,000% compared to the CPU Environment. It is expected that the lightweight simulation technology can be effectively applied to the augmented reality and the virtual reality field by using the design method proposed later in this research.