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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 18, Issue 4 - Dec 2009
Volume 18, Issue 3 - Sep 2009
Volume 18, Issue 2 - Jun 2009
Volume 18, Issue 1 - Mar 2009
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Modeling on Policy Conflict for Managing Heterogeneous Security Systems in Distributed Network Environment
Lee, Dong-Young ; Seo, Hee-Suk ; Kim, Tae-Kyung ;
Journal of the Korea Society for Simulation, volume 18, issue 2, 2009, Pages 1~8
Enterprise security management system proposed to properly manage heterogeneous security products is the security management infrastructure designed to avoid needless duplications of management tasks and inter-operate those security products effectively. In this paper, we defined the security policies using Z-Notation and the detection algorithm of policy conflict for managing heterogeneous firewall systems. It is designed to help security management build invulnerable security policies that can unify various existing management infrastructures of security policies. Its goal is not only to improve security strength and increase the management efficiency and convenience but also to make it possible to include different security management infrastructures while building security policies. With the process of the detection and resolution for policy conflict, it is possible to integrate heterogeneous security policies and guarantee the integrity of them by avoiding conflicts or duplications among security policies. And further, it provides convenience to manage many security products existing in large networks.
Fuzzy Logic-based Bit Compression Method for Distributed Face Recognition
Kim, Tae-Young ; Noh, Chang-Hyeon ; Lee, Jong-Sik ;
Journal of the Korea Society for Simulation, volume 18, issue 2, 2009, Pages 9~17
A face database has contained a large amount of facial information data since face recognition was widely used. With the increase of facial information data, the face recognition based on distributed processing method has been noticed as a major topic. In existing studies, there were lack of discussion about the transferring method for large data. So, we proposed a fuzzy logic-based bit compression rate selection method for distributed face recognition. The proposed method selects an effective bit compression rate by fuzzy inference based on face recognition rate, processing time for recognition, and transferred bit length. And, we compared the facial recognition rate and the recognition time of the proposed method to those of facial information data with no compression and fixed bit compression rates. Experimental results demonstrates that the proposed method can reduce processing time for face recognition with a reasonable recognition rate.
A Berth Allocation Problem to Maximize the Available Rate of Naval Vessels
Won, Hyun-Sik ; Ahn, Tae-Ho ; Lee, Sang-Heon ;
Journal of the Korea Society for Simulation, volume 18, issue 2, 2009, Pages 19~27
This paper addresses the berth allocation problem in naval ports. Navy vessels need various services such as emergency repair, missile loading, oil supply and many others while commercial vessels only unload and load container at the port. Furthermore, naval vessels have to shift frequently due to a limited capacity of the port. The objective of this paper is to minimize the total number of nesting vessels at the naval port. In other word, the objective is to maximize the total number of naval battleships engaging in the sea. A mixed integer programming(MIP) model is developed and experiments are conducted with ILOG CPLEX 11.0. We compare the computational results of the MIP model to the current scheduling approach by the ROK Navy. The results showed that MIP model performed well by minimizing the number of nesting vessels. and avoiding unnecessary shifts.
Semantic Computing-based Dynamic Job Scheduling Model and Simulation
Noh, Chang-Hyeon ; Jang, Sung-Ho ; Kim, Tae-Young ; Lee, Jong-Sik ;
Journal of the Korea Society for Simulation, volume 18, issue 2, 2009, Pages 29~38
In the computing environment with heterogeneous resources, a job scheduling model is necessary for effective resource utilization and high-speed data processing. And, the job scheduling model has to cope with a dynamic change in the condition of resources. There have been lots of researches on resource estimation methods and heuristic algorithms about how to distribute and allocate jobs to heterogeneous resources. But, existing researches have a weakness for system compatibility and scalability because they do not support the standard language. Also, they are impossible to process jobs effectively and deal with a variety of computing situations in which the condition of resources is dynamically changed in real-time. In order to solve the problems of existing researches, this paper proposes a semantic computing-based dynamic job scheduling model that defines various knowledge-based rules for job scheduling methods adaptable to changes in resource condition and allocate a job to the best suited resource through inference. This paper also constructs a resource ontology to manage information about heterogeneous resources without difficulty as using the OWL, the standard ontology language established by W3C. Experimental results shows that the proposed scheduling model outperforms existing scheduling models, in terms of throughput, job loss, and turn around time.
A Study on Increasing the Efficiency of Image Search Using Image Attribute in the area of content-Based Image Retrieval
Mo, Yeong-Il ; Lee, Cheol-Gyu ;
Journal of the Korea Society for Simulation, volume 18, issue 2, 2009, Pages 39~48
This study reviews the limit of image search by considering on the image search methods related to content-based image retrieval and suggests a user interface for more efficient content-based image retrieval and the ways to utilize image properties. For now, most studies on image search are being performed focusing on content-based image retrieval; they try to search based on the image's colors, texture, shapes, and the overall form of the image. However, the results are not satisfactory because there are various technological limits. Accordingly, this study suggests a new retrieval system which adapts content-based image retrieval and the conventional keyword search method. This is about a way to attribute properties to images using texts and a fast way to search images by expressing the attribute of images as keywords and utilizing them to search images. Also, the study focuses on a simulation for a user interface to make query language on the Internet and a search for clothes in an online shopping mall as an application of the retrieval system based on image attribute. This study will contribute to adding a new purchase pattern in online shopping malls and to the development of the area of similar image search.
Stochastic Optimization Method Using Gradient Based on Control Variates
Kwon, Chi-Myung ; Kim, Seong-Yeon ;
Journal of the Korea Society for Simulation, volume 18, issue 2, 2009, Pages 49~55
In this paper, we investigate an optimal allocation of constant service resources in stochastic system to optimize the expected performance of interest. For this purpose, we use the control variates to estimate the gradients of expected performance with respect to given resource parameters, and apply these estimated gradients in stochastic optimization algorithm to find the optimal allocation of resources. The proposed gradient estimation method is advantageous in that it uses simulation results of a single design point without increasing the number of design points in simulation experiments and does not need to describe the logical relationship among realized performance of interest and perturbations in input parameters. We consider the applications of this research to various models and extension of input parameter space as the future research.
Analysis and Evaluation for Constraint Enforcement System
Hong, Min ; Park, Doo-Soon ; Choi, Yoo-Joo ;
Journal of the Korea Society for Simulation, volume 18, issue 2, 2009, Pages 57~64
Stable and effective constraint enforcement system is one of the crucial components for physically-based dynamic simulations. This paper presents analysis and evaluation for traditional constraint enforcement systems(Lagrange Multiplier method, Baumgarte stabilization method, Post-stabilization method, Implicit constraint enforcement method, Fast projection method) to provide a guideline to users who need to integrate a suitable constraint enforcement system into their dynamic simulations. The mathematical formulations for traditional constraint enforcement systems are presented in this paper. This paper describes a summary of evaluation which consists of constraint error comparison, computational cost, and dynamic behavior analysis to verify the efficiency of each traditional constraint enforcement system.
A Simulation Study on the Manufacturing Process of Semiconductor Parts Using AHP
Xu, Te ; Moon, Dug-Hee ; Park, Chul-Soon ; Zhang, Bing-Lin ;
Journal of the Korea Society for Simulation, volume 18, issue 2, 2009, Pages 65~75
The semiconductor manufacturing process normally includes a great number of complex sequential steps those are related with various types of equipment. Such equipments are installed with the mixed patterns of serial or parallel structures while considering a number of engineering or environmental factors at the same time. It is thus extremely difficult to change the layout after installation due to expensive costs and other related factors. Because of these reasons, a new investment or layout change, which is usually caused by the production policy such as product mix or production quantity, must be carefully considered. This case study introduces a simulation conducted in a semiconductor parts production company which produces the Board on Chip (BOC)-type of packaging substrate and has plans to change the facility layout. For this study, we used
for simulation modeling and evaluated various strategies which may cause layout changes. Further, the Analytic Hierarchy Process (AHP) is applied to select the best strategy from several alternatives with multiple decision criteria.
Visual Tracking Technique Based on Projective Modular Active Shape Model
Kim, Won ;
Journal of the Korea Society for Simulation, volume 18, issue 2, 2009, Pages 77~89
Visual tracking technique is one of the essential things which are very important in the major fields of modern society. While contour tracking is especially necessary technique in the aspect of its fast performance with target's external contour information, it sometimes fails to track target motion because it is affected by the surrounding edges around target and weak egdes on the target boundary. To overcome these weak points, in this research it is suggested that PDMs can be obtained by generating the virtual 6-DOF motions of the mobile robot with a CCD camera and the image tracking system which is robust to the local minima around the target can be configured by constructing Active Shape Model in modular base. To show the effectiveness of the proposed method, the experiment is performed on the image stream obtained by a real mobile robot and the better performance is confirmed by comparing the experimental results with the ones of other major tracking techniques.