• 제목/요약/키워드: Rule-based Systems

검색결과 1,049건 처리시간 0.027초

패턴 분류를 이용한 침입탐지 시스템 모델 (An Intrusion Detection System Using Pattern Classification)

  • 윤은준;김현성;부기동
    • 한국산업정보학회:학술대회논문집
    • /
    • 한국산업정보학회 2002년도 추계공동학술대회
    • /
    • pp.59-65
    • /
    • 2002
  • 최근 침입 탐지시스템에 대한 관심이 증대되고 있다 침입탐지 시스템에서 침입여부 확인을 위하여 패턴매칭 기법이 주로 사용된다. 기존의 패턴매칭 기법들은 다양한 공격 패턴들에 대한 패턴 비교 시간이 많이 소요되는 문제점이 있었다. 본 논문에서는 기존의 패턴 매칭 기법들이 가지고 있는 문제점을 해결하기 위하여 새로운 침입 탐지 시스템을 제안한다. 제안한 시스템은 효율적인 패턴비교를 위하여 롤 패턴을 분류한다. 분류된 패턴은 매칭을 위하여 정형화된 트리로 구현한다 그러므로, 본 논문에서 제안한 침입탐지 시스템 모델은 효율적으로 네트워크 침입 탐지를 수행 할 수 있다.

  • PDF

전문가 시스템과 데이터 베이스를 사용한 지식 기반 시뮬레이션 환경 구축 (Construction of Knowledge-based Simulation Environment Using Expert System and Database)

  • 김형종;이주용;조대호
    • 한국시뮬레이션학회논문지
    • /
    • 제9권3호
    • /
    • pp.27-41
    • /
    • 2000
  • As the application domains of rule-based systems become larger and more complicated, the integration of rule-based systems within the database systems has become the topic of many research works. This paper suggests a simulation modeling using expert system and database. The integration methods employed in this research are as follows. First, we defined new states and state transition functions to interrelate simulation model and expert system. Second, we designed and implemented FCL(Fact Class Library) as a interface of expert system and database. FCL has facilities of filtering data from database, and assigning a meaning to the filtered data. Also, FCL detects the violation of the integrity rules in database, as the result of inference is reflected. Some implementation problems are pointed out and the methods to solve these problems are discussed in this paper, We developed a simulation model of the grating production line and executed it to validate the functions of the proposed method.

  • PDF

규칙기반 리듬 분류에 의한 심전도 신호의 비정상 검출 (Abnormality Detection of ECG Signal by Rule-based Rhythm Classification)

  • 류춘하;김성완;김세윤;김태훈;최병재;박길흠
    • 한국지능시스템학회논문지
    • /
    • 제22권4호
    • /
    • pp.405-413
    • /
    • 2012
  • 심전도 신호의 신뢰성 있는 진단을 위해서는 높은 분류 정확도와 함께 낮은 오분류 성능이 중요하며, 특히 비정상을 정상으로 진단하는 것은 심검자에게 치명적인 문제로 귀결될 수 있다. 본 논문에서는 임상 진단 기준을 반영하는 규칙기반 분류 알고리즘을 이용하여 비정상 리듬을 검출 및 분류하는 방법을 제안한다. 규칙기반 분류는 리듬 구간의 특징에 대한 규칙 베이스를 이용하여 리듬 유형을 분류하도록 하며, 이 때 규칙 베이스는 임상 및 내과 분야의 심전도 전문 임상 자료에 기반한 본 논문의 기준표에 따라 구성된다. MIT-BIH 부정맥 데이터베이스를 이용한 제안 방법의 실험을 통하여 정상동조율, 박동조율, 및 다양한 비정상 리듬에 대한 리듬 유형의 분류가 가능함을 확인하였으며, 특히 비정상 리듬 검출 측면에서는 오분류가 전혀 발생되지 않는 결과를 보였다.

분류시스템의 분류 규칙 발견을 위한 유전자 알고리즘 (Genetic Algorithm to find Classification Rule for Classifier Systems)

  • 김대희;박상호
    • 한국산업정보학회논문지
    • /
    • 제9권4호
    • /
    • pp.16-25
    • /
    • 2004
  • 분류시스템은 현재의 유용한 규칙들로부터 새로운 규칙들을 만들어 가기 위해 학습하는 규칙 기반 시스템이다. 본 논문에서는 방대한 데이터베이스에서 유용한 정보를 얻는 분류시스템의 분류 규칙 발견을 위한 유전자 알고리즘 을 제안하였다. 제안된 방법을 자동차 보험문제에 적용하여 제안된 유전자 알고리즘 기반 분류시스템의 성능을 평가하였다.

  • PDF

자동 구축 퍼지 규칙기반 패턴 인식 시스템에 의한 고장진단 시스템의 구현 (Automatically Constructed Fuzzy Rule-Based Pattern Classification Systems for Fault Diagnosis)

  • 홍윤광;조성원
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 1995년도 하계학술대회 논문집 B
    • /
    • pp.956-958
    • /
    • 1995
  • This paper presents the automatic construction of fuzzy rule-based systems for diagnosing the faults of complex systems. Generally, fuzzy systems work well when we can use expert's experience to articulate fuzzy IF-THEN rules and memberships for fuzzy sets. When we cannot do this, we should generate the fuzzy rules and membership functions for fuzzy sets directly from experimental data. In this paper, we propose a new method on how to extract fuzzy sets and fuzzy rules. We also introduce an efficient fine-tunning algorithm of the parameters of membership functions.

  • PDF

난방시스템 및 개구부의 통합제어를 위한 규칙기반제어법 및 인공신경망기반제어법의 성능비교 (Development of Integrated Control Methods for the Heating Device and Surface Openings based on the Performance Tests of the Rule-Based and Artificial-Neural-Network-Based Control Logics)

  • 문진우
    • KIEAE Journal
    • /
    • 제14권3호
    • /
    • pp.97-103
    • /
    • 2014
  • This study aimed at developing integrated logic for controlling heating device and openings of the double skin facade buildings. Two major logics were developed-rule-based control logic and artificial neural network based control logic. The rule based logic represented the widely applied conventional method while the artificial neural network based logic meant the optimal method. Applying the optimal method, the predictive and adaptive controls were feasible for supplying the advanced thermal indoor environment. Comparative performance tests were conducted using the numerical computer simulation tools such as MATLAB (Matrix Laboratory) and TRNSYS (Transient Systems Simulation). Analysis on the test results in the test module revealed that the artificial neural network-based control logics provided more comfortable and stable temperature conditions based on the optimal control of the heating device and opening conditions of the double skin facades. However, the amount of heat supply to the indoor space by the optimal method was increased for the better thermal conditioning. The number of on/off moments of the heating device, on the other hand, was significantly reduced. Therefore, the optimal logic is expected to beneficial to create more comfortable thermal environment and to potentially prevent system degradation.

A Multiagent System for Workflow-Based Bioinformatics Tool Integration

  • Sohn, Bong-Ki;Lee, Keon-Myung;Kim, Hak-Joon
    • International Journal of Fuzzy Logic and Intelligent Systems
    • /
    • 제3권2호
    • /
    • pp.133-137
    • /
    • 2003
  • Various bioinformatics tools for biological data processing have been developed and most of them are available in public. Most bioinformatics works are carried out by a composite application of those tools. Several integration approaches have been proposed for easy use of the tools. This paper proposes a new multi agent system to integrate bioinformatics tools in the perspective of workflow since the composite applications of tools can be regarded as workflows. For the easy integration, the proposed system employs wrapper agents for existing tools, uses XML-based messages in the inter-agent communication, and agents are supposed to extract necessary information from the received messages. This allows new tools to be easily added on the integration framework. The proposed method allows various control structures in workflow definition and provides the progress monitoring capability of the on-going workflows. In particular, agents in this system have the rule-based architecture which allows the defined rule set to be a special role agent. This feature provides fast and flexible agent development to aid in managing the complexity of bioinformatics application. This system has been partially implemented and has been proven to be a viable implementation for workflow-based bioinformatics tool integration.

A Heuristic Rule for the Performance Improvement in Time Domain Passivity Control of Haptic Interfaces

  • Kim, Yoon-Sang;Blake Hannaford
    • Transactions on Control, Automation and Systems Engineering
    • /
    • 제4권3호
    • /
    • pp.212-216
    • /
    • 2002
  • A practical issue is studied to improve the performance of a new energy based method of achieving stable, high performance haptic interface control. The issue is related to resetting the amount of energy accumulated in the Passivity Observer for faster operation. A heuristic method is derived and experimentally tested for the resetting and it is shown to help the PC to operate sooner when the system gets active. Experimental results are presented for the “Excalibur” haptic device.

퍼지제어를 위한 가속화 추론 방법 (Accelerated reasoning method for fuzzy control)

  • 남세규;정인수
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
    • /
    • pp.1058-1062
    • /
    • 1993
  • A fuzzy reasoning method is proposed for the implementation of control systems based on non-fuzzy microprocessors. The essence of the proposed method is to search the local active miles instead of the global rule base. Thus the reasoning is conveniently performed on a master cell as a fuzzy accelerating kernel, which is transformed from an active fuzzy cell. The interpolative reasoning is simplified via adopting the algebraic product of fulfillment for the conditional connective AND and the weighted average for the rule sentence connective ALSO.

  • PDF

2차 레귤레이션 서보 시스템을 위한 IPD 제어의 Lyapunov 안정도 해석 (Lyapunov Stability Analysis of IPD Control for 2nd Order Regulation Servo Systems)

  • 이정훈
    • 전력전자학회:학술대회논문집
    • /
    • 전력전자학회 1999년도 전력전자학술대회 논문집
    • /
    • pp.382-385
    • /
    • 1999
  • In this paper, by means of Lyapunov second method, the stability of IPD control servo systems is analyzed in the time domain for the first time. Based on the results of the stability analysis, the design rule to select the gain of IPD control is suggested such that the maximum error of output to the nominal system is guaranteed for all uncertainty and load variations. An example of a position control of a brushless dc motor is given to prove the unusefulness of the gain design rule.

  • PDF