• 제목/요약/키워드: Fuzzy Engine

검색결과 199건 처리시간 0.046초

퍼지가능성 척도를 이용한 전기화재 원인진단 시스템의 구축 (Construction of Diagnosis System for Electric-fire Causes using Fuzzy Possibility Measure)

  • 김두현;김상철
    • 한국안전학회지
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    • 제7권4호
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    • pp.105-114
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    • 1992
  • This paper presents an study on the knowledge based system for diagnosing the fire causes using the Fuzzy Possibility Measure( FPM ) about the electric-fire ignition. The Ignition values needed for causes diagnosis is computed as FPM for electric-fire ignition based on the internal scale technique that assigns numerically the characteristic difference of facts to the-tin-ear scale. For the convinience of inference, ignition sources are classified into seven types : short, ground fault, leakge of electricity, overcurrent, cord junction overheating, bad Insulation and spark. The system for causes diagnosis of electric-fire is composed of Knowledge Acquisition System, Inference Engine and Man-Machine Interface, The diagnosis system is wrritten in an artificial intelligence langusge “PROLOG” which uses depth-first search and backward chaining schemes in reasoning process.

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A Cognitive Map Approach to B2B Negotiation to Integrate Unstructured and Structured Negotiation Term

  • 이건창;김진성
    • 한국지능시스템학회논문지
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    • 제14권3호
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    • pp.342-348
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    • 2004
  • As the advent of the Internet, B2B negotiation process on the Internet has been given attention from both researchers and practitioners. However, literature still shows that only structured conditions have been explicitly considered, despite the fact that unstructured conditions should be rendered as well. In this sense, this paper proposes a new negotiation support mechanism to incorporate causal relationships between structured and unstructured conditions in the process of B2B negotiation. Fuzzy cognitive map was used as a main source of causal knowledge as well causal inference engine. A prototype named CAKES-NEGO was developed to perform experiments with an illustrative example. Results revealed the robustness of our proposed negotiation support mechanism.

Developing an Intelligent Health Pre-diagnosis System for Korean Traditional Medicine Public User

  • Kim, Kwang Baek
    • Journal of information and communication convergence engineering
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    • 제15권2호
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    • pp.85-90
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    • 2017
  • Expert systems for health diagnosis are only for medical experts who have deep knowledge in the field but we need a self-checking pre-diagnosis system for preventive public health monitoring. Korea Traditional Medicine is popular in use among Korean public but there exist few available health information systems on the internet. A computerized self-checking diagnosis system is proposed to reduce the social cost by monitoring health status with simple symptom checking procedures especially for Korea Traditional Medicine users. Based on the national reports for disease/symptoms of Korea Traditional Medicine, we build a reliable database and devise an intelligent inference engine using fuzzy c-means clustering. The implemented system gives five most probable diseases a user might have with respect to symptoms given by the user. Inference results are verified by Korea Traditional Medicine doctors as sufficiently accurate and easy to use.

하이브리드 전기 자동차(HEV) 기술동향 (HEV: A Review)

  • 나도백;신효순
    • 에너지공학
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    • 제19권1호
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    • pp.39-50
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    • 2010
  • 하이브리드 전기자동차(HEV: Hybrid Electric Vehicle)와 플러그 인 하이브리드 전기자동차 (PHEV: Plug-in Hybrid Electric Vehicle)는 화석연료 배출가스를 제거하고 연료경제성을 개선하기 위하여 급속한 속도로 전통적 가솔린 엔진 자동차를 대체할 것이다. 이 리뷰는 병렬 하이브리드 전기자동차를 위한 퍼지로직 제어전략과 최적화를 설명하였다. HEV와 PHEV를 위한 전기모터와 리튬이온 배터리의 최근 발전을 기술하였으며 국제적 학술지에 출판된 논문수와 등록된 특허 수에 근거한 한국의 HEV와 PHEV 기술의 경쟁력 분석도 수행하였다.

퍼지논리를 이용한 다중관측자 구조 FDIS의 성능개선 (Performance Improvement of MOS type FDIS using Fuzzy Logic)

  • 류지수;박태건;이기상
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 B
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    • pp.410-413
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    • 1998
  • A passive approach for enhancing fault detection and isolation performance of multiple observer based fault detection isolation schemes(FDIS) is proposed. The FDIS has a hierarchical framework to perform detection and isolation of faults of interest, and diagnosis of process faults. The decision unit comprises of a rule base and fuzzy inference engine and removes some difficulties of conventional decision unit which includes crisp logic and threshold values. Emphasis is placed on the design and evaluation methods of the diagnostic rule base. The suggested scheme is applied for the FDIS design for a DC motor driven centrifugal pump system.

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Attitude Control of Artificial Satellites via Intelligent Digital Redesign

  • Lee, Ho-Jae;Park, Jin-Bae;Lee, Yeun-Woo;Joo, Young-Hoon
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.1283-1288
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    • 2003
  • This paper proposes an approach to attitude control artificial satellites with jet-engine. The jet-engine produces on-off thrust, which can be modelled as pulse-width-modulated (PWM) function. Therefore, the problem is converted to design a PWM controller and we develop an efficient technique for this purpose using digital redesign. The digital redesign is a converting technique a well-designed analog controller into the equivalent digital one maintaining the property of the original analog control system in the sense of state-matching. The redesigned digital controller is again converted into PWM controller using the equivalent area principle. We show a computer simulation of the attitude control of artificial satellites.

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FNN 제어기에 의한 선박의 조종성능개선 (An improvement of control performance of ship by FNN controller)

  • 강창남
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2011년도 제42회 하계학술대회
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    • pp.1228-1229
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    • 2011
  • A novel approach has been promoted for FNN ship controllers. An Electro-hydraulic governor has been widely adopted to the ship speed control of propulsion marine diesel engines for a long time, it was very difficult for Electro-hydraulic governor to regulate the speed of high power engine with long stroke at low speed and low load, because of the jiggling phenomena by rough fluctuation of rotating torque and the hunting phenomena by long dead time occurred in fuel combustion process in the engine cylinder. This paper provides an efficient way for improving control performance by FNN controller. An RBF neural network and GA optimization are employed in a fuzzy neural controller to deal with the nonlinearity, time varying and uncertain factors, the rule base and membership functions can be auto-adjusted by GA optimization. The parameters of neural network can be decreased by using union-rule configuration in the hidden layer of the network. The performance of controller is evaluated by the system simulation using simulink tools.

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An Intelligent Search Modeling using Avatar Agent

  • Kim, Dae Su
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제4권3호
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    • pp.288-291
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    • 2004
  • This paper proposes an intelligent search modeling using avatar agent. This system consists of some modules such as agent interface, agent management, preprocessor, interface machine. Core-Symbol Database and Spell Checker are related to the preprocessor module and Interface Machine is connected with Best Aggregate Designer. Our avatar agent system does the indexing work that converts user's natural language type sentence to the proper words that is suitable for the specific branch information retrieval. Indexing is one of the preprocessing steps that make it possible to guarantee the specialty of user's input and increases the reliability of the result. It references a database that consists of synonym and specific branch dictionary. The resulting symbol after indexing is used for draft search by the internet search engine. The retrieval page position and link information are stored in the database. We experimented our system with the stock market keyword SAMSUNG_SDI, IBM, and SONY and compared the result with that of Altavista and Google search engine. It showed quite excellent results.

Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes

  • Fallatah, Mahmoud Ibrahim;Ikram, Mohammed
    • International Journal of Computer Science & Network Security
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    • 제21권6호
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    • pp.35-46
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    • 2021
  • Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches.

The nonlinear fuzzy intelligent theory for high-bypass-ratio two-spool unmixed-flow jet engines

  • C.C. Hung;T. Nguyen
    • Advances in aircraft and spacecraft science
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    • 제10권4호
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    • pp.369-391
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    • 2023
  • In our research we have offered a solid solution for aeronautical analysis. which can guarantee the asymptotic stability of coupled nonlinear facilities. According to the theoretical solutions and methods presented, the engine of this aircraft is a small high-bypass turbofan engine. using the non-linear aero-motor control approach and this paper focuses on the power management function of the aero-motor control system. These include static controls and transient controls. A mathematical model of the high-bypass-ratio two-spool unmixed-flow aeroengine was developed through a set of nonlinear dynamic equations verified by experimental data. A single actuator using the displacement method is designed to maintain a certain level of thrust under steady-state conditions. and maintains repeatable performance during transient operation from the requested thrust phase to the next. A single controller can compensate for the effects of noise and harmonic noise at many performance points. And the dynamic performance of a single controller is satisfactory during the transient. for fairness Numerical and computer experiments are described in the perfection of the methods we offer in research.