• Proceedings of the Computational Structural Engineering Institute Conference
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• 1995.10a
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• pp.197-206
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• 1995

In structural design procedure, The procedure of member selection manages complex data relationship and reflects structural expert's knowledge. It is a difficult problem to construct an effective system with the conventional l programming technique. Knowledge_based s!'stem is a software system capable of supporting the explicit representation of expert's knowledge in member selection process through member data and reasoning mechanisms. This study describes useful methodology for structuring knowledge and representing relation between member data and knowledge. And this study shows the application of this member for member selection in the steel structural design.

• IE interfaces
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• v.20 no.4
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• pp.458-468
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• 2007

Artificial immune systems (AIS) are one of natural computing inspired by the natural immune system. The fault detection, the pattern recognition, the system control and the optimization are major application area of artificial immune systems. This paper gives a concept of artificial immune systems and useful techniques as like the clonal selection, the immune network theory and the negative selection. A concise survey on the optimization problem based on artificial immune systems is generated. The overall performance of artificial immune systems for the optimization problem is discussed.

• Convergence Security Journal
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• v.6 no.3
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• pp.87-95
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• 2006

An intrusion can be defined as any set of actors that attempt to compromise the integrity, confidentiality and availability of computer resource and destroy the security policy of computer system. The Intrusion Detection System that detects the intrusion consists of data collection, data reduction, analysis and detection, and report and response. It is important for feature selection to detect the intrusion efficiently after collecting the large set of data of Intrusion Detection System. In this paper, the feature selection method using Genetic Algorithm and Decision Tree is proposed. Also the method is verified by the simulation with KDD data.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2000.11a
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• pp.299-302
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• 2000

Various types of measuring devices are used for reverse engineering and inspection in different fields of industry such as automotive, aerospace, computer graphics, and home appliance. In order to measure a part easily and efficiently, it is important to select appropriate measuring device considering the characteristics of each measuring machine and part information. In this research, an optimal measuring device selection system using neural networks is proposed. There are two major steps: Firstly, the measuring information such as curvature, normal, type of surface, edge, and facet approximation is extracted from the CAD model. Second, the best suitable measuring device is proposed using the neural network system based on the knowledge of the measuring parameters and the measuring resources. An example of machine selection is implemented to evaluate the performance of the system.

• The Journal of Korean Association of Computer Education
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• v.6 no.3
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• pp.65-73
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• 2003

Most web-based learning is furnishing single side and consistent training resource to learner. Research was gone to apply item analysis method or to introduce web-based learning system using studying pattern. But, we need complicated algorithm or parameter setting etc, for apply these method. Therefore, in this research, we design and implement an item selection system in consideration of learner's incorrectness rate and problem frequency selection rate about question of item selection attribute. Also, as that embody business logic about item selection by EJB, efficient system development is available and we improved maintenance and reusability.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.310-313
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• 2011

Broadcasting nature of wireless communications makes it possible to apply opportunistic network coding (OPNC) by overhearing transmitted packets from a source to sink nodes. However, it is difficult to apply network coding to the topology of multiple relay and sink nodes. We propose to use relay node selection, which finds a proper node for network coding since the OPNC alone in the topology of multiple relays and sink nodes cannot guarantee network coding gain. The proposed system is a novel combination of wireless network coding and relay selection, which is a key contribution of this paper. In this paper, with the consideration of channel state and potential network coding gain, we propose relay node selection techniques, and show performance gain over the conventional OPNC and a channel-based selection algorithm in terms of average system throughput.

• Journal of Information Management
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• v.25 no.2
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• pp.1-30
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• 1994

This study intends to discuss the theories and case studies related to the selection and evaluation of information resources. The studies for the selection and evaluation of information resources can be divided into as follows : statistical methods, cost-effectiveness methods and expert system methods. I also tried to discuss problems and prospects of the theoretical backgrounds and applications of expert system for the selection and evaluation of information resources.

• Convergence Security Journal
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• v.14 no.4
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• pp.85-94
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• 2014

Information Security Check System was Introduced in 2004, higher than in 2013, the effectiveness of Information Security Management System(ISMS) certification scheme was to unification. This is incident to the Internet affecting people's lives telecommunications service provider to target accountability because, considering the subject's duty selection criteria need to be clarified. however, Obligations under the current legislation, subject selection criteria applying the law itself is ambiguous, the result being a significant problem. Moreover, the regulatory system of certification systems subjects, although selection criteria should be clear and objectively not the obligation not to distrust the system itself and the subject was raised many issues for you. In this study, with SMART Technic in order to improve this certification you can easily determine whether a medical person authorized to develop a model for selection of medical subjects, The developed model is verified through empirical ways to improve the system by presenting the system to help, to secure the effectiveness.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.279-282
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• 2006

네트워크를 기반으로 한 컴퓨터 시스템이 현대 사회에 있어서 더욱 더 불가결한 역할을 하는 것에 따라, 네트워크 기반 컴퓨터 시스템은 침입자의 침입 목표가 되고 있다. 이를 보호하기 위한 침입탐지시스템(Intrusion Detection System : IDS)은 점차 중요한 기술이 되었다. 침입탐지시스템에서 패턴들을 분석한 후 정상/비정상을 판단 및 예측하기 위해서는 초기단계인 특징추출이나 선택이 매우 중요한 부분이 되고 있다. 본 논문에서는 IDS에서 중요한 부분인 feature selection을 Data Mining 기법인 Genetic Algorithm(GA)과 Decision Tree(DT)를 적용해서 구현했다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.38
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• pp.131-138
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• 1996

In real world, the organization has multiple objects. Inorder to solve the multiple objects, we present the goal programming for solving project selection problem we also developed expert system which is focused on function of analysis. User which doesn't have knowledge of goal programming can solve the project selection problem and get a result of analysis.