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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of the Korea Society for Simulation
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The Korea Society for Simulation
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Volume & Issues
Volume 22, Issue 4 - Dec 2013
Volume 22, Issue 3 - Sep 2013
Volume 22, Issue 2 - Jun 2013
Volume 22, Issue 1 - Mar 2013
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A Design of Management and Verification Tool of Component and A Development of SAM Simulator based on Dynamic Reconfiguration Architecture
Suk, Jeebeom ; Lee, Jaeoh ; Lee, Jaejin ; Seo, Yoonho ;
Journal of the Korea Society for Simulation, volume 22, issue 2, 2013, Pages 1~10
DOI : 10.9709/JKSS.2013.22.2.001
Modeling and simulation techniques construct experimental environment considering battlefields and are able to analyze performance of components of weapon system that closely resemble reality. However, developed model has low scalability and not cared reusability because it has been used only in a limited range of domain. In this paper, we develop a verification tool to verify reusability of developed component for dynamic reconfiguration and to judge scalability of it and a management tool to control data of it effectively. In addition, dynamic reconfiguration architecture of guided weapon systems designed in the previous study has been applied to SAM(Surface to Air Missile) System Simulator, and we study effectiveness of the developed component. Thus the user can configure various guided weapon systems through simulation application of dynamic reconfiguration architecture of component.
Development of Battle Space Model Based on Combined Discrete Event and Discrete Time Simulation Model Architecture for Underwater Warfare Simulation
Ha, Sol ; Ku, Namkug ; Lee, Kyu-Yeul ; Roh, Myung-Il ;
Journal of the Korea Society for Simulation, volume 22, issue 2, 2013, Pages 11~19
DOI : 10.9709/JKSS.2013.22.2.011
This paper presents the battle space model, which is capable of propagating various types of emissions from platforms in underwater warfare simulation, predicting interesting encounters between pairs of platforms, and managing environmental information. The battle space model has four components: the logger, spatial encounter predictor (SEP), propagator, and geographic information system (GIS) models. The logger model stores brief data on all the platforms in the simulation, and the GIS model stores and updates environmental factors such as temperature and current speed. The SEP model infers an encounter among the platforms in the simulation, and progresses the simulation to the time when this encounter will happen. The propagator model receives various emissions from platforms and propagates these to other "within-range" platforms by considering the propagation losses and delays. The battle space model is based on the discrete event system specification (DEVS) and the discrete time system specification (DTSS) formalisms. To verify the battle space model, simple underwater warfare between a battleship and a submarine was simulated. The simulation results with the model were the same as the simulation results without the model.
Study on the Productivity Improvement of Diagnostic Medical Blood Analyzers using Theory of Constraints and Simulation
Maeng, Ju-Hyuck ; Lee, Kang-Won ;
Journal of the Korea Society for Simulation, volume 22, issue 2, 2013, Pages 21~31
DOI : 10.9709/JKSS.2013.22.2.021
There is a high demand for the diagnostic medical blood analyzer in the global medical device market. The domestic market is in infant stage, but expected to grow very fast. In this study, we attempt to provide several ways for production improvement in order to secure price competitiveness of domestic medical blood analyzer. For this purpose we identify the problems of current production process using ARENA simulation and suggest several alternatives for productivity improvement.. Five steps of TOC (Theory of Constraints) and ARENA simulation are employed to predict productivity of each alternative and to suggest further improvement.
Exploration of Border Security Systems of the ROK Army Using ABMS and GA Algorithm
Oh, Kyungtack ; Lee, Jae-Yeong ;
Journal of the Korea Society for Simulation, volume 22, issue 2, 2013, Pages 33~40
DOI : 10.9709/JKSS.2013.22.2.033
This paper explores a border security system based on agent-based modeling and simulation (ABMS). The ABMS software platform, map aware non-uniform automata, is used to model various scenarios and evaluate the border security system given a set of infiltrators who have evolutionary behavior governed by genetic algorithm (GA). we formulated an optimization model and approximately solved it using a GA in order to capture near optimal behavior of an infiltrating force. The results presented give two significant insights for our border security system in that optimizing the infiltrator`s behavior can make a significant difference and the quantitative results regarding the infiltrator`s avoidance of each asset can be viewed as capturing their relative importance.
Bullwhip Effect Minimization vs. Cost Minimization in Supply Chain
Cho, Myeon Sig ;
Journal of the Korea Society for Simulation, volume 22, issue 2, 2013, Pages 41~51
DOI : 10.9709/JKSS.2013.22.2.041
Tendency for small changes in end-consumer demand to be amplified as one moves further up the supply chain is known as bullwhip effect (BE). BE is usually defined as variance(order)/variance(demand). Since such distorted information throughout the supply chain can lead to inefficiencies, many studies to reduce variance(order) have been performed. However, in this study, we show that minimization of BE may increase inefficiencies of the supply chain. We introduce a new objective function to increase system efficiency using smoothed ordering policies. Simulation optimization is utilized to find optimal smoothed ordering policies.
Quantization Data Transmission for Optimal Path Search of Multi Nodes in cloud Environment
Oh, HyungChang ; Kim, JaeKwon ; Kim, TaeYoung ; Lee, JongSik ;
Journal of the Korea Society for Simulation, volume 22, issue 2, 2013, Pages 53~62
DOI : 10.9709/JKSS.2013.22.2.053
Cloud environment is one in the field of distributed computing and it consists of physical nodes and virtual nodes. In distributed cloud environment, an optimal path search is that each node to perform a search for an optimal path. Synchronization of each node is required for the optimal path search via fast data transmission because of real-time environment. Therefore, a quantization technique is required in order to guarantee QoS(Quality of Service) and search an optimal path. The quantization technique speeds search data transmission of each node. So a main server can transfer data of real-time environment to each node quickly and the nodes can perform to search optimal paths smoothly. In this paper, we propose the quantization technique to solve the search problem. The quantization technique can reduce the total data transmission. In order to experiment the optimal path search system which applied the quantized data transmission, we construct a simulation of cloud environment. Quantization applied cloud environment reduces the amount of data that transferred, and then QoS of an application for the optimal path search problem is guaranteed.
Development of Timely Counter-scenario on Small Scale Engagements
Ahn, Euikoog ; Chang, Dae S. ; Pyun, JaiJeong ; Kwon, Yongjin James ; Park, Sang C. ;
Journal of the Korea Society for Simulation, volume 22, issue 2, 2013, Pages 63~71
DOI : 10.9709/JKSS.2013.22.2.063
Developing future weapons systems has become increasingly complicated and costly. There, modeling and simulation techniques have been highly interested in developing the defense systems. Modeling and simulation techniques provide a means to simulate military training, strategies, military doctrines, and weapons acquisition. In this paper, we proposed a small scale engagement scenario generation method for engagement M&S model. Generated scenario is one of critical factors in the field of commander training, operational analysis, and tactical evaluation. The objective of this paper is to develop a scenario generation method for small scale engagement using the FSA(Finite State Automata) and DFS(Depth First Search) algorithm. The proposed method is verified using a one-on-one combat engagement scenario between assault ship and reconnaissance ship. Also, we are visualized using Delta3D
A Study on Implementation of Monitoring System of Distributed Simulation for Underwater Warfare
Hwam, Won K. ; Chung, Yongho ; Choi, Jong-Yeob ; Park, Sang C. ;
Journal of the Korea Society for Simulation, volume 22, issue 2, 2013, Pages 73~83
DOI : 10.9709/JKSS.2013.22.2.073
This paper presents design and implementation of the monitoring system for the distributed simulation of underwater warfare. As importance of defense modeling and simulation(M&S) has raised, Simulation-Based Acquisition(SBA) was authorized for an obligatory process in the development process of weapon systems. Yet, it requires tremendous resources to develop a large-scale simulation system that describes complex and broad battlefields. Therefore, an approach of the distributed system was devised to develop a new simulation system combining legacy simulators that were developed for confined purpose and sole operations. High-Level Architecture(HLA) of distributed systems is a standardized protocol by IEEE for the distributed simulation system and Run-Time Infrastructure(RTI) is an implementation of HLA to structure efficient distributed systems. The main objective of this paper is to derive appropriate monitoring factors for underwater warfare simulation, design and implementation of the monitoring system to analyze the factors based on HLA/RTI.
The Analysis of the Factors Influencing Telecommunication Service Providers Selection on Purchase of Smart Phones
Chang, Byeong-Yun ;
Journal of the Korea Society for Simulation, volume 22, issue 2, 2013, Pages 85~91
DOI : 10.9709/JKSS.2013.22.2.085
Smart phones become essential goods for our life. As the technology are developing, and the market becomes saturated, it is important to understand the determinants affecting purchase of smart phones. In this paper, to understand these determinants factor analysis and binary logistics regression is used. Toward this, we first define the determinants into 3 categories: customer satisfaction, switching barrier, and switching attractiveness based on literature review. Furthermore, we develop 9 hypotheses to test with survey data using factor analysis and binary logistics regression. The results show that the six factors (data quality, price satisfaction, corporate image, the burden of new contract, attraction of devices and attraction of other competitors) are significant when customers buy smart phones.
A Simulation Study on the Application of Cellular Manufacturing System in the Automated Welding Line Producing Excavator-parts
Kim, Hye Jeong ; Lee, Seung Woo ; Moon, Dug Hee ;
Journal of the Korea Society for Simulation, volume 22, issue 2, 2013, Pages 93~100
DOI : 10.9709/JKSS.2013.22.2.093
Mixed model production system means that various products are manufactured alternately in a line, and it has become a popular system in the era of multi-product small-quantity production. However, in the mixed model production system using flow line, the unbalance among stations is not inevitable because the workloads of stations cannot be the same. Thus, flow line system has been replaced to cellular manufacturing system for reducing the loss of waiting due to the unbalance of stations. In this paper, we introduce the simulation case study of an automated welding line which produces the parts of excavator. The factory has considered replacing the mixed model flow line to the cellular manufacturing system based on FMC concept. The increase of production quantity is estimated about 26.7%, and the lead time is reduced more than 55%. Furthermore sensitivity analyses are conducted considering the changes of product-mix.
A Simulation Model for the Study on the Forest Fire Pattern
Song, Hark-Soo ; Jeon, Wonju ; Lee, Sang-Hee ;
Journal of the Korea Society for Simulation, volume 22, issue 2, 2013, Pages 101~107
DOI : 10.9709/JKSS.2013.22.2.101
Because forest fires are predicted to increase in severity and frequency under global climate change with important environmental implications, an understanding of fire dynamics is critical for mitigation of these negative effects. For the reason, researchers with different background, such as ecologists, physicists, and mathematical biologists, have developed the simulation models to mimic the forest fire spread patterns. In this study, we suggested a novel model considering the wind effect. Our theoretical forest was comprised of two different tree species with varying probabilities of transferring fire that were randomly distributed in space at densities ranging from 0.0 (low) to 1.0 (high). We then studied the distributional patterns of burnt trees using a two-dimensional stochastic cellular automata model with minimized local rules. We investigated the time, T, that the number of burnt trees reaches 25% of the whole trees for different values of the initial tree density, fire transition probability, and the degree of wind strength. Simulation results showed that the values of T decreased with the increase of tree density, and the wind effect decreased in the case of too high or low tree density. We believe that our model can be a useful tool to explore forest fire spreading patterns.