• Title/Summary/Keyword: Rule based System

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Real-Time Rule-Based System Architecture for Context-Aware Computing (실시간 상황 인식을 위한 하드웨어 룰-베이스 시스템의 구조)

  • Lee, Seung-Wook;Kim, Jong-Tae;Sohn, Bong-Ki;Lee, Keon-Myung;Cho, Jun-Dong;Lee, Jee-Hyung;Jeon, Jae-Wook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.5
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    • pp.587-592
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    • 2004
  • Context-aware computing systems require real-time context reasoning process for context awareness. Context reasoning can be done by comparing input information from sensors with knowledge-base within system. This method is identical with it of rule-based systems. In this paper, we propose hardware rule-based system architecture which can process context reasoning in real-time. Compared to previous architecture, hardware rule-based system architecture can reduce the number of constraints on rule representations and combinations of condition terms in rules. The modified content addressable memory, crossbar switch network and pre-processing module are used for reducing constraints. Using SystemC for description can provide easy modification of system configuration later.

Implementation of Rule Based Insurance Product Recommend and Design System using Fuzzy Inference (퍼지 추론을 통한 규칙 기반의 보험상품 추천 및 설계 시스템 구현)

  • Park, Ji-Soo;Lee, Young-Hoon;Kim, Kyung-Sup;Jeong, Suk-Jae
    • The Journal of Society for e-Business Studies
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    • v.12 no.1
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    • pp.99-122
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    • 2007
  • The rule based system is inference engine which can correspond quickly to new business model change and improvement requirement by dealing with the business know-how and expert knowledge as well as business process of enterprise and has been trying to apply to the various industries. As a part of application cases for rule-based system, we develop and implement the rule-based insurance product recommend and design system for the efficient decision making of insurance product in insurance industry which is sensitively affected by needs of customers, various kinds of product, and environment changes. The process of fuzzy inference of the developed system helps to recommend and design the proper Insurance product using the information of the present customer and the previous members. This approach is expected that it will be the core technology for the recommendation and design of the tailored insurance product by deciding and corresponding needs of various kinds of customer quickly in future insurance industry.

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An Active Temporal Rule Model for a Nuclear Plant Monitoring System (원전감시 시스템을 위한 능동적 시간지원 규칙 모델)

  • Nam, Gwang-U;Park, Jeong-Seok;Ryu, Geun-Ho
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.9
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    • pp.2281-2293
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    • 1999
  • Many applications such as nuclear power plant monitoring, plant process control, stock market management, and network data management require a database system supporting both temporal data model and active rule processing. There have been some efforts to extend the temporal functionalities of the active database system, but an active database system based on temporal database, especially the one applied to the real application is rare. In this paper, we proposed an active temporal rule model based on bi-temporal database. And a rule language following the proposed rule model was described with its execution semantics. Then, how to apply to the nuclear power plant monitoring system was given as the examples.

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Extraction of Fuzzy Rules with Importance for Classifier Design

  • Pal, Kuhu
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.725-730
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    • 1998
  • Recently we extended the fuzzy model for rule based systems incorporating an importance factor for each rule. The model permits for both unrestricted as well as non-negative importance factors. We use this extended model to design a fuzzy rule based classifier system which uses both the firing strength of the rule and the importance factor to decide the class label. The effectiveness of the scheme is established using several data sets.

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Development of Fuzzy Rule-based Liver Function Test Diagnosis System (퍼지 규칙기반 간 기능 검사 해석 시스템의 개발)

  • Kim, Jong-Won;Oh, Kyung-Whan
    • Proceedings of the KOSOMBE Conference
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    • v.1992 no.05
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    • pp.155-160
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    • 1992
  • Liver function test is one of the most common tests for diagnosis and follow-up of patients and for heal th screening. Automatic interpretation and suggestions on the diagnostic possibilities contribute to shorten the interpretation time of the test results and help to provide qualified health care. Fuzzy logic has been recently introduced and being spread for these purposes. The present study aims at model Ins the foray rule-based laboratory diagnosis system. The fuzzy rule-based laboratory diagnosis system was applied to the diagnosis regarding liver function test. The system was evaluated by comparing with the stepwise multivariate discriminant function analysis, which showed similar results, and the overall accuracy of the fuzzy diagnosis system was about 80%.

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Automatic Feneration of BOM Using Knowledge-Based System (지식 베이스를 이용한 CAD 도면에서의 BOM 자동생성)

  • 이영엽;도남철;장수영;최인준;정무영;박춘렬
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.970-974
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    • 1993
  • This paper is concerned with an automatic generation of BOM (Bill Of Material) for a bicycle frame set using a knowledge based system. The major components module system includes : (1) Part information retrieval in CAD drawing, (2) BOM code generation rule, and (3) Database interface. The knowledge based system includes a rule base and a fact base. The fact base consists of basic, variant, and optional components of the standard BOMs of frame sets. The rule contains rules for generating new BOM code in case that the specified is not in the database. The system was implemented on a SUN workstation under Open Windows environments. AutoCAD for CAD drawing was also used.

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Design and Implementation of Healthcare System for Chronic Disease Management

  • Song, Mi-Hwa
    • International Journal of Internet, Broadcasting and Communication
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    • v.10 no.3
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    • pp.88-97
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    • 2018
  • Chronic diseases management can be effectively achieved through early detection, continuous treatment, observation, and self-management, rather than a radar approach where patients are treated only when they visit a medical facility. However, previous studies have not been able to provide integrated chronic disease management services by considering generalized services such as hypertension and diabetes management, and difficult to expand and link to other services using only specific sensors or services. This paper proposes clinical rule flow model based on medical data analysis to provide personalized care for chronic disease management. Also, we implemented that as Rule-based Smart Healthcare System (RSHS). The proposed system executes chronic diseases management rules, manages events and delivers individualized knowledge information by user's request. The proposed system can be expanded into a variety of applications such as diet and exercise service in the future.

Design and Implementation of Rule-based BPEL System for BPEL Rule Modeling (BPEL 규칙 모델링을 위한 규칙 기반 BPEL 시스템 설계와 구현)

  • Kwak, Donggyu;Choi, Jaeyoung
    • Journal of IKEEE
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    • v.17 no.3
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    • pp.332-338
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    • 2013
  • BPEL is a standard executable language for specifying actions within business processes with Web services. BPEL workflow requires rule engine to describe application process in BPEL, as the requirements increase. It is needed to develop new BPEL's engine or modify BPEL's engine in order to add the functionality of rules to BPEL engines, but this method is not easy to implement and it requires very high cost. In this paper, we present an R4BPEL document, which uses the original BPEL grammar and includes a rule document. With this method, it is possible to build rule-based BPEL environment easily by adding web services with rules and R4BPEL document analyzer to the general-purpose Web services. In this paper, we campared a BPEL's document in proposed system with a BPEL's document in the existing system. And we demonstrated the simplicity of the rule-based system.

Design and Implementation of Nools-based Rule Engine for Smart IoE Platform (지능형 IoE 플랫폼을 위한 Nools 기반 룰 엔진의 설계 및 구현)

  • Lee, Sung-Hun;Hwang, Chae-Eun;Jeong, Jin-Woo
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.4
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    • pp.379-387
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    • 2018
  • In order to make the IoT ecosystem more usable and friendly to general users, the interaction between the users and platforms/devices and its UX must be improved. In this study, a web-based rule engine system to help users intuitively interact with the various devices and services in IoE (Internet of Everything) platform is proposed. The proposed system consists of web interfaces and UI components for creating and managing rule-based scenarios using sensors, actuators, and external services in an intuitive way. Also, a rule management module for automatically translating the rules from the web interface into Nools rule engine compatible ones is proposed. Finally, we show the usability and feasibility of the proposed system by demonstration of rule-based use cases of IoT devices and external services.

A Rule-based Approach for the recognition of system isolation state using information on circuit breakers (차단기 정보를 이용한 계통의 분리 상태 인식의 룰-베이스적 접근)

  • Park, Y.M.;Lee, J.H.
    • Proceedings of the KIEE Conference
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    • 1988.07a
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    • pp.841-842
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    • 1988
  • For determination of black-out area and restoration area by an expert system for fault section estimation and power system restoration using information from circuit breakers, it is necessary that the recognition of system isolation state and a method of finding the change of system isolation state by the state transition of breakers in isolated system. This paper presents a method of resolving the above problem by rule-based approach.

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