• 제목/요약/키워드: knowledge-base

검색결과 1,431건 처리시간 0.03초

저자들의 동시인용과 하위주제간 추이행렬시스템을 통한 주제문헌의 구조적 분석에 관한 고찰 (An Investigation on Structural Analysis of the Subject Literature Using Author Cocitation and Transition Matrix System among Subareas)

  • 김현희
    • 정보관리학회지
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    • 제6권2호
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    • pp.21-44
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    • 1989
  • 본 논문에서는 화학문헌을 실험데이타로 하여 저자동시인용기법과 저자추이분석기법을 이용해서 저자망과 개념망을 구축하여 이 두 기법을 비교·분석하였다. 저자·개념망은 학문의 지적 구조에 대한 지식은 물론 용어간의 상호연관성에 대한 구조적 지식을 제공하기 때문에 주제문헌의 지식베이스의 기초 데이타로 이용될 수 있다.

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BIM을 이용한 건축디자인 교육의 실험연구 (The Experiment of Architectural Design Education by means of BIM)

  • 김용일;양관목
    • 교육시설 논문지
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    • 제19권5호
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    • pp.37-43
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    • 2012
  • Results of experiments conducted in university-based design studio suggests that Building information Modeling invites the adoption of a dramatically different design process, traditional design process and BIM-aided design process. Experiment method is used the actual experiment by students. In contrast to traditional design process rooted in successive refinement of abstractions and dependence on tacit knowledge, the studio BIM-aided design process depends on a complete and comprehensive date base and alterative solutions by complete analysis for helping choice of finial result. BIM viewed as provocateur of design education provides great potential for the critical analysis of how architectural design is taught. The results reflect new ways of teaching and addressing BIM methods and process in the design studio project.

전력계통 운용상태의 신속한 판단을 위한 정보수집 및 추론기법에 관한 연구 (A Study on Information Collection and Inference Technique for Fast Evaluation of Power System Operation State)

  • 박찬엄;홍창호;이승철;문운철
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 제37회 하계학술대회 논문집 A
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    • pp.34-35
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    • 2006
  • This paper presents an information collection and a novel inference technique for evaluation of power system operation state. In most developing countries, power demands are steadily increasing and consequently power systems are becoming larger and more complicated. In addition, power system deregulations further complicate the power system operational tasks, which are resulted in prevailing wide area blackouts worldwide. In this paper, we proposed an effective information collection and operating state evaluation methods using a knowledge-based system. The RTS-79 24 bus system is used as a test system. The power system model is composed with JESS templates and included in the knowledge-base as a part of fixed facts. Dynamic informations are collected from various analysis results and actual operational data. Inferences are performed with rules expressed with terms in different abstraction levels. Future research will be concentrated on intelligent contingency selections for preventing wide area blackouts.

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A Novel Architecture for Real-time Automated Intrusion Detection Fingerprinting using Honeypot

  • Siddiqui, Muhammad Shoaib;Hong, Choong-Seon
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2007년도 춘계학술발표대회
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    • pp.1093-1095
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    • 2007
  • As the networking and data communication technology is making progress, there has been an augmented concern about the security. Intrusion Detection and Prevention Systems have long being providing a reliable layer in the field of Network Security. Intrusion Detection System works on analyzing the traffic and finding a known intrusion or attack pattern in that traffic. But as the new technology provides betterment for the world of the Internet; it also provides new and efficient ways for hacker to intrude in the system. Hence, these patterns on which IDS & IPS work need to be updated. For detecting the power and knowledge of attackers we sometimes make use of Honey-pots. In this paper, we propose a Honey-pot architecture that automatically updates the Intrusion's Signature Knowledge Base of the IDS in a Network.

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입자 유형별 형상추출에 의한 마모입자 자동인식에 관한 연구 (A study on automatic wear debris recognition by using particle feature extraction)

  • 장래혁;윤의성;공호성
    • 한국윤활학회:학술대회논문집
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    • 한국윤활학회 1998년도 제27회 춘계학술대회
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    • pp.314-320
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    • 1998
  • Wear debris morphology is closely related to the wear mode and mechanism occured. Image recognition of wear debris is, therefore, a powerful tool in wear monitoring. But it has usually required expert's experience and the results could be too subjective. Development of automatic tools for wear debris recognition is needed to solve this problem. In this work, an algorithm for automatic wear debris recognition was suggested and implemented by PC base software. The presented method defined a characteristic 3-dimensional feature space where typical types of wear debris were separately located by the knowledge-based system and compared the similarity of object wear debris concerned. The 3-dimensional feature space was obtained from multiple feature vectors by using a multi-dimensional scaling technique. The results showed that the presented automatic wear debris recognition was satisfactory in many cases application.

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뉴로 퍼지 모델을 이용한 편향요크의 RGB색 일치에 대한 제어 (Control of Convergence for Deflection Yoke Using Neuro-Fuzzy Model)

  • 정병묵;임윤규;정창욱
    • 한국정밀공학회지
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    • 제15권5호
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    • pp.19-27
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    • 1998
  • Color Display Tube (CDT) used in computer monitors, consists of many components. Deflection Yoke(DY) among them supplies the vertical and horizontal magnetic fields so that the spatial trajectories of electron beams are deflected according to the synchronization signals. If the magnetic fields are not correctly formed, there will be color blurring or blooming by a mis-convergence of each beam and the color image on screen may not be clear. Therefore, in the manufacture of DY. its quality is strictly examined to get the desired convergence and the occurred mis-convergence can be cured by sticking ferrite sheets on the inner part of DY. However, because it needs expert's knowledge and experience to find the proper position of the sheet, this article introduces an intelligent controller that the knowledge-base represented by a neuro-fuzzy model is used to find the optimal position of the ferrite sheet for the convergence.

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퍼지제어기의 최적 설계에 관한 연구 (A Study on the Optimal Design of Fuzzy Logic Controller)

  • 노기갑;김성호;주영훈;박진배
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1997년도 추계학술대회 학술발표 논문집
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    • pp.50-54
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    • 1997
  • In general, the design of fuzzy logic controller has difficulties in the acquisition of expert's knowledge. So, some methods that can optimize the parameters for fuzzy logic controller automatically without expert knowledge was provided. Recently, tuning method for fuzzy logic controller using genetic algorithm(GA) were proposed in many papers. However, those are tuning methods for a part or some part of fuzzy logic controller. In this paper, we proposes auto tuning method for the whole part of tuzzy logic controller, such as parameters of membership functions for antecedence and consequence parts, rule base, scaling factor and the number of rule. Finally, second order dead time plant is provided to show the advantages of the proposed method.

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퍼지제어기를 이용한 크레인의 진동억제 및 위치제어 (Anti-swing and position control of crane using fuzzy controller)

  • 정승현;박정일
    • 제어로봇시스템학회논문지
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    • 제3권5호
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    • pp.435-442
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    • 1997
  • The roof crane system is used for transporting a variable load to a target position. The goal of crane control system is transporting the load to a goal position as quick as possible without rope oscillation. The crane is generally operated by an expert operator, but recently an automatic control system with high speed and rapid tansportation is required. In this paper, we developed a simple fuzzy controller which has been introduced expert's knowledge base for anti-swing and rapid tranportation to goal position. In particular, we proposed the synthesis reasoning method which synthesizes on the basis of expert knowledge of the angle control input and position control input which are inferenced parallel and simultaneously. And we confirmed that the performance of the developed controller is effective as a result of applying it to crane simulator and also verified whether the proposed synthesis rules have been applied correctly using clustering algorithm from the measured data.

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An Intelligent CAD System for Development of Controllers of Active Magnetic Bearings

  • Jang, Seung-Ho;Kim, Chang-Woo
    • Journal of Mechanical Science and Technology
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    • 제15권8호
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    • pp.1108-1118
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    • 2001
  • The purpose of this study is to establish a CAD (Computer Aided Design) system for research and development(R&D) of a new product. In the R&D process of a new product, the design objects are frequently redesigned based on the experimental results obtained with prototypes. The CAD/CAE systems (which is based on computer simulation of physical phenomena) are effective in reducing the number of useless prototypes of a new product. These kinds of conventional CAD/CAE systems do not provide a function to reflect the experimental results to the redesign process, however. This paper proposes a methodology to establish the CAD system, which possesses the engineering model of a designed object in the model database, and refines the model on the basis of experimental results of prototype. The blackboard inference model has been applied to infer model refinement and redesign counterplan by using insufficient knowledge of R&D process of new products.

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뉴럴 네트웍과 지식 기반 퍼지 추론을 이용한 디젤기관 고장진단 시스템에 관한 연구 (A study on the fault and diagnosis system for diesel engine using neural network and knowledge based fuzzy inference)

  • 천행춘;김영일;김경엽;안순영;오현경;유영호
    • 한국마린엔지니어링학회:학술대회논문집
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    • 한국마린엔지니어링학회 2002년도 춘계학술대회논문집
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    • pp.233-238
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    • 2002
  • This paper propose the construction of fault diagnosis engine for diesel generator engine and rule inference method to induce rule for fuzzy inference from the monitored data of diesel engine. The proposed fault diagnosis system is constructed the Malfunction Diagnosis Engine(MDE) and Hierarchy of Malfunction Hypotheses(HME), It is Proposed the rule reduction method of knowledge base for concerning data among the various analog data.

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