• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.745-747
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• 2003

RBAC(Role-Base Access Control)은 호스트상의 유저(User)들에게 Role을 적용하여 호스트를 분산 관리하는 방식이다. 본 논문에서는 RBAC방식을 응용하여 Role을 네트워크의 호스트에 적용해서 네트워크 자원 사용에 제한을 두는 침입차단 방식을 제안한다. 그리고 Rule의 적용을 메뉴화하여 선택함으로 Rule적용의 편이성에 기여하는 불법적이고 불필요한 사용을 방어할 수 있는 네트워크 침입차단 시스템을 설계 및 구현을 한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.04a
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• pp.724-728
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• 1997

A CAD system of grid element for vacuum fluorescent disply has been developed. In order to reduce design man-houre and human erros, it is used to automate the design process using a knowledge base system. In the case of VFD product design, the most important consideration is the short-life cycle. So the development of CAD system for VFD product is needed. The developed system is based on the knowledge base system which is involved in a lot of expert's technology in the practice field. Using C-language under the HP-UNIX system, CIS customer language of the EXCESS CAD/CAM is used as the overall CAD environment. Results of this system will provide effective aids to the designer in this field

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1997.10a
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• pp.181-188
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• 1997

This work proposes possible use of the hyperdocument as a companion for structural steel designers and also as a part of any expert system to be used for the design of steel structures. AISC Specification for Structural Steel Buildings - Allowable Stress Design and Plastic Design, June 1, 1989-has been thoroughly hyperdocumented. Database for the most of AISC standard sections has been built for easier reference to sectional properties and even for search for the relevant sections. Hardy and wxCLIPS from AIAI, The University of Edinburgh were used as development tools. Hardy is integrated with NASA's rule-based and object-oriented language CLIPS 6.0 to enable users to rapidly develop diagram-related applications. Currently this work does not include any sophisticated rule-bases. Rather, this work will form a part of the expert systems for the steel structural design to be developed later. Nevertheless, the hyperdocument of this work will make a good companion for structural steel designers in its own right.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.129-136
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• 2023

In this paper, we describe a rule-based risk classification algorithm to perform Risk-based Inspection (RBI) on imported goods at customs. The RBI system is a method to automatically select which cargos have to be inspected and manage potential risks in boarder. In this study, we designed a rule-based risk classification algorithm for RBI solutions and implemented them using the Svelte web application framework. The risk classification algorithm proposed in this paper uses different indicative risk factors such as HS code, country of origin, importer's reliability, trade relationships, and logistics routes to classify cargos into Green, Yellow, and Red channels. To achieve this, we assigned risk categories to each risk factor and randomly generated risk scores within a specific range for each risk category. This system is expected to contribute to the increased efficiency of customs operations and protect public safety by minimizing the risk of imported hazardous materials.

• International journal of advanced smart convergence
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• v.1 no.2
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• pp.30-33
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• 2012

This paper propose a new design of fuzzy neural networks based on hard partition to generate the rules of the networks. For this we use hard c-means (HCM) clustering algorithm. The premise part of the rules of the proposed networks is realized with the aid of the hard partition of input space generated by HCM clustering algorithm. The consequence part of the rule is represented by polynomial functions. And the coefficients of the polynomial functions are learned by BP algorithm. The number of the hard partition of input space equals the number of clusters and the individual partitioned spaces indicate the rules of the networks. Due to these characteristics, we may alleviate the problem of the curse of dimensionality. The proposed networks are evaluated with the use of numerical experimentation.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.3
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• pp.250-254
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• 2010

As the number of input and fuzzy set of a fuzzy system increase, the size of the rule base increases exponentially and becomes unmanageable (curse of dimensionality). In this paper, tree architectures of fuzzy controller (TAFC) is proposed to overcome the curse of dimensionality problem occurring in the design of fuzzy controller. TAFC is constructed with the aid of AND and OR fuzzy neurons. TAFC can guarantee reduced size of rule base with reasonable performance. For the development of TAFC, genetic algorithm constructs the binary tree structure by optimally selecting the nodes and leaves, and then random signal-based learning further refines the binary connections (two-step optimization). An inverted pendulum system is considered to verify the effectiveness of the proposed method by simulation.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2005.06a
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• pp.246-250
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• 2005

Recommand Systems are being used by an ever-increasing number of E-Commerce to help customers find products to purchase. Recommend Systems offer a technology that allows personalized recommendations of items of potential interest to users based on information about similarities and dissimilarities among different customers tastes. In this paper, we design and build a Recommend System using the historical customer movie purchase transactions and extracts the knowledge needed to make association recommendations to new customers.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.30A no.1
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• pp.8-15
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• 1993

A concrete disign of memory circuit is presented aiming at the application of sliding diagonal test patterns. A modification of sliding diagonal test pattern includes the complexity reduction from O(n$^{32}$) to O(n) using parallel test memory concept. The control circuit design was based on delay-element, and verified via logic and circuit simulation. Area overhead was evaluated based on physical layout using a 0.7 micron design rule resulting in about 1% area increase for a typical 16Mbit DRAM.

• Steel and Composite Structures
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• v.4 no.3
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• pp.189-209
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• 2004

The commonly used seismic design procedures to evaluate the maximum effect of both horizontal components of earthquakes, namely, the Square Root of the Sum of the Squares (SRSS) and the 30-percent (30%) combination rules, are re-evaluated. The maximum seismic responses of four three-dimensional moment resisting steel frames, in terms of the total base shear and the axial loads at interior, lateral and corner columns, are estimated as realistically as possible by simultaneously applying both horizontal components. Then, the abovementioned combination rules and others are evaluated. The numerical study indicates that both, the SRSS rule and the 30% combination method, may underestimate the combined effect. It is observed that the underestimation is more for the SRSS than for the 30% rule. In addition, the underestimation is more for inelastic analysis than for elastic analysis. The underestimation cannot be correlated with the height of the frames or the predominant period of the earthquakes. A basic probabilistic study is performed in order to estimate the accuracy of the 30% rule in the evaluation of the combined effect. Based on the results obtained in this study, it is concluded that the design requirements for the combined effect of the horizontal components, as outlined in some code-specified seismic design procedures, need to be modified. New combination ways are suggested.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.8A
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• pp.1085-1095
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• 2000

In this paper, we have defined the rules and the algorithm for diagnosis and recovery of routing configuration fault on a system. By using them, we have implemented the Java-based system that can manage routing configuration fault automatically. To manage routing configuration fault, the production rule for network configuration management, the production rule for routing configuration fault diagnosis, and the production rule for routing configuration fault recovery have been proposed. Rule-based routing configuration fault management system has been implemented on the basis of backward chaining algorithm and applied for meta rules for the purpose of interconnecting the production rules. We have derived the experimental result from transition process of the rules, the Blackboard, the goals based on scenarios. Through the implementation of dynamically applicable system in heterogeneous and rapidly changing network environments, we have proposed the methodology for network configuration fault management. Also, we expect that network configuration manager can reduce time and cost wasted for routing configuration fault management.