• Title/Summary/Keyword: Rule Based System

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Design and Implementation of Rule-based System for Insurance Product (Rule Database를 활용한 보험상품 규칙시스템의 설계 및 구현)

  • Kim, Do-Hyung;Lee, You-Ho;Oh, Young-Bae
    • 한국IT서비스학회:학술대회논문집
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    • 2003.05a
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    • pp.571-576
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    • 2003
  • 보험시스템은 상품 및 보험 종류에 따라서 결정되는 요소들이 많고 이에 대한 예외 사항이 많이 존재하는 특성을 가지고 있다. 기존 시스템에서의 상품속성 반영은 테이블을 통한 값 정의와 어플리케이션에서의 예외처리 로직(if then else)을 병행하여 사용함으로 인해, 상품변경과 신상품 개발에 대한 비용이 증가하고 신속한 시장 대응이 어려웠다. 본 논문에서는 보험상품 속성의 비즈니스 로직을 데이터화로 가능하게 하는 Well Formed Rule Base 시스템을 제시하고 실제 프로젝트 적용을 통한 효과를 설명한다.

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Fuzzy Multi-Layer Relational Design for the explosive rule-based applications (폭발적인크기의 룰-기반의 응용을 위한 멀티 레이어 퍼어지 관계 설계)

  • Kim, Young Taek
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.343-346
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    • 2012
  • There are many realistic system necessities on the huge size of rule matrices with any Fuzzy Logical Inferences. This paper indicates the experimental design policy on the PCS design for the Platoon and AOS for the social application with some identical resemblances in between them so that we could use a design for two different usages feasibly.

DNA Coding Method for Time Series Prediction (시계열 예측을 위한 DNA 코딩 방법)

  • 이기열;선상준;이동욱;심귀보
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.280-280
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    • 2000
  • In this paper, we propose a method of constructing equation using bio-inspired emergent and evolutionary concepts. This method is algorithm that is based on the characteristics of the biological DNA and growth of plants. Here is. we propose a constructing method to make a DNA coding method for production rule of L-system. L-system is based on so-called the parallel rewriting mechanism. The DNA coding method has no limitation in expressing the production rule of L-system. Evolutionary algorithms motivated by Darwinian natural selection are population based searching methods and the high performance of which is highly dependent on the representation of solution space. In order to verify the effectiveness of our scheme, we apply it to one step ahead prediction of Mackey-Glass time series.

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Intrusion Detection System using Pattern Classification with Hashing Technique (패턴분류와 해싱기법을 이용한 침입탐지 시스템)

  • 윤은준;김현성;부기동
    • Journal of Korea Society of Industrial Information Systems
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    • v.8 no.1
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    • pp.75-82
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    • 2003
  • Computer and network security has recently become a popular subject due to the explosive growth of the Internet Especially, attacks based on malformed packet are difficult to detect because these attacks use the skill of bypassing the intrusion detection system and Firewall. This paper designs and implements a network-based intrusion detection system (NIDS) which detects intrusions with malformed-packets in real-time. First, signatures, rules in NIDS like Snouts rule files, are classified using similar properties between signatures NIDS creates a rule tree applying hashing technique based on the classification. As a result the system can efficiently perform intrusion detection.

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A RULE-BASED APPROACH for AUTOMATIC CONTINGENCY SELECTION in POWER SYSTEMS (자동 상정사고 선택에 관한 룰-베이스적 접근)

  • Park, Young-Moon;Shin, Joong-Rin;Jo, Gang-Wook
    • Proceedings of the KIEE Conference
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    • 1987.11a
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    • pp.118-121
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    • 1987
  • This paper presents a rule-based approach for automatically selecting critical contingencies in electric power systems. The rules required to perform the task are derived from inspection about results of simulation and expertise of operators. And inherent information of system, for example, topology of system configuration, and flow direction in a line by compensation theorem. etc., which are independent of operating point of system, is stored in the database using the off-line calculation. The approach was investigated using the study of a sample test system. Since it is based on the knowledge engineering technique, efficiency of selection can be improved by updating and adding the rules.

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Model Development for Analysis of the System Dynamic Characteristics for Fuel Cell-battery Based Unmanned Aerial Vehicles (연료전지-배터리 기반 무인항공기 추진시스템 동특성 분석을 위한 모델 개발)

  • DAEIL HYUN;SEOKMOO HONG;JAEYOUNG HAN
    • Journal of Hydrogen and New Energy
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    • v.34 no.5
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    • pp.490-496
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    • 2023
  • Unmanned aerial vehicles (UAVs) research is recently actively underway. Especially, fuel cell battery hybrid systems are widely used to overcome the limitations of continuous operation. However, fuel cell systems must be operated in combination with a battery due to their low specific output characteristics. Therefore, a hybrid power system model for UAVs is developed. The rule-based strategy is applied to the model to properly distribute power to batteries and fuel cells. As a result, the designed rule-based power distribution control operates UAVs while maintaining battery state of charge(SOC) at an appropriate level.

Environment for Translation Domain Adaptation and Continuous Improvement of English-Korean Machine Translation System

  • Kim, Sung-Dong;Kim, Namyun
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.2
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    • pp.127-136
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    • 2020
  • This paper presents an environment for rule-based English-Korean machine translation system, which supports the translation domain adaptation and the continuous translation quality improvement. For the purposes, corpus is essential, from which necessary information for translation will be acquired. The environment consists of a corpus construction part and a translation knowledge extraction part. The corpus construction part crawls news articles from some newspaper sites. The extraction part builds the translation knowledge such as newly-created words, compound words, collocation information, distributional word representations, and so on. For the translation domain adaption, the corpus for the domain should be built and the translation knowledge should be constructed from the corpus. For the continuous improvement, corpus needs to be continuously expanded and the translation knowledge should be enhanced from the expanded corpus. The proposed web-based environment is expected to facilitate the tasks of domain adaptation and translation system improvement.

A GT-Based CAPP System Uing a Decision Tree

  • Noh, Sang-Do;Shim, Young-Bo;Cho, Hyun-Soo;Lee, Hong-Hee;Lee, Kyo-Il
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.263-266
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    • 1995
  • Comtputer Aided Process Planning(CAPP) has been emerged as playing a key role in Computer Integrated Manufactunng(CIM) as the most critical link to integrate CAD and CAM. A modified variant CAPP system based on process planning rule base is developed in this paper. This CAPP system generates process plans automatically according to the GT code data provided as input. In order to execute process planning, various process planning rules are constructed in the form of decision tree and the inference engine that extracts the process plan based on the tree-structured rules are implemented.

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Evolutionary Neural Network based on DNA Coding Method for Time Series Prediction (시계열 예측을 위한 DNA코딩 기반의 신경망 진화)

  • 이기열;이동욱;심귀보
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.05a
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    • pp.224-227
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    • 2000
  • In this Paper, we prepose a method of constructing neural networks using bio-inspired emergent and evolutionary concepts. This method is algorithm that is based on the characteristics of the biological DNA and growth of plants. Here is, we propose a constructing method to make a DNA coding method for production rule of L-system. L-system is based on so-called the parallel rewriting mechanism. The DNA coding method has no limitation in expressing the production rule of L-system. Evolutionary algorithms motivated by Darwinian natural selection are population based searching methods and the high performance of which is highly dependent on the representation of solution space. In order to verify the effectiveness of our scheme, we apply it to one step ahead prediction of Mackey-Glass time series, Sun spot data and KOSPI data.

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Development of knowledge based expert system for fault diag industrial rotating machinery (산업용 회전 기기의 현장 이상 진단을 위한 지식 기반 전문가 시스템 개발)

  • 이태욱;이용복;김승종;김창호;임윤철
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.11b
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    • pp.633-639
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    • 2001
  • This paper proposes a knowledge-based expert system. which is assembled into hardware organized with sensor module. AID converter, USB. data acquisition PC and software composed of monitoring and diagnosis module combined with a frame-based method using Sohre's chart and a rule-based method. Vibration signals using various sensors are acquired by AID converter. transferred into PC and processed to obtain a continuous monitoring of the machine status displayed into several plots. Through combining frame-base which covers wide vibration causes with rule-base which gives relatively specified diagnosis results, high accuracy of fault diagnosis can be guaranteed and knowledge base can be easily extended by adding new causes or symptoms. Some examples using experimental data show the good feasibility of the proposed algorithm for condition monitoring and diagnosis of industrial rotating machinery.

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