• ETRI Journal
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• 제29권4호
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• pp.477-488
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• 2007

In recent years, numerous studies have identified and explored issues related to web-service-oriented business process specifications, such as business process execution language (BPEL). In particular, business rules are an important cross-cutting concern that should be distinguished from business process instances. In this paper, we present a rule-based aspect oriented programming (AOP) framework where business rule aspects contained in business processes can be effectively separated and executed. This is achieved by using a mechanism of the business rule itself at the business rule engine instead of using existing programming language-based AOP technologies. Through some illustrative examples, this work also introduces a method by which business rule aspects, separated through an external rule engine, can be represented and evaluated. We also demonstrate how they can be dynamically woven and executed by providing an implementation example which uses two open-source-based products, the Mandarax rules engine and Bexee BPEL engine.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1998년도 추계학술대회 논문집
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• pp.223-223
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• 1998

• 정보관리학회지
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• 제23권4호
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• pp.41-67
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• 2006

웹의 보도기사에 관한 자동요약시스템을 구축하기 위하여 담화구조와 지식기반 기법을 적용한 글구조 프레임과 제 규칙들을 작성하였다. 프레임에는 문단과 문장 및 절의 역할, 문단과 문장의 성질, 역할을 구분하는 판별규칙, 주요문장 발췌규칙, 그리고 요약문 작성규칙 슬롯이 포함되었다. 문맥정의, 고유명사 등을 안내하는 'if-needed'와 변화된 슬롯 값을 알려주는 if-changed 패싯도 구비되었다. 슬롯이나 패싯의 실제 값들을 추출 표현하는 과정에서 문구의 수사적 역할과 단어 최상위 범주 및 줄거리 단위를 참조하였다. 의미흐름의 연결성을 유지하면서 요약 문장들을 통합, 분리, 합성하는 재구성은 유사도공식, 구문정보, 담화구조와 지식기반 방법에서 도출한 제 규칙 및 문맥정의를 이용하였고 비평과 같은 새로운 문장을 생성하였다.

• 지능정보연구
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• 제8권1호
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• pp.141-157
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• 2002

XML(eXtensible Markup Language, XML)은 인터넷에서의 자료 교환을 위해 고안된 언어이다. 본 논문에서는 XML의 개념을 발전시킨 확장형 규칙 표식 언어(eXtensible Rule Markup Language, XRML)를 제안하고 있다. XRML은 웹 페이지에 내재된 암묵적 규칙의 식별, 구조적인 규칙으로의 변환, 사람과 소프트웨어 에이전트간의 지식 공유를 가능하게 하며, 이를 통해 지식기반시스템(Knowledge Based System)과 지식관리시스템(Knowledge Management System)의 통합을 실현할 수 있는 새로운 언어가 될 것이다. 본고에서는 XRML이 이상과 같은 능력을 갖기 위해 반드시 갖춰야 할 6가지 설계 기준과, 이들 기준을 반영한 XRML 구성 요소로서 RIML(Rule Identification Markup Language), RSML(Rule Structure Markup Language)과 RTML(Rule Triggering Markup Language)을 설계하였으며, 개별 요소들의 기능 및 특성과 함께 태그와 DTD(Document Type Definition)도 식별하였다. 나아가 전술한 구조를 기반으로 하여 XRML을 워크플로우 시스템상의 폼처리에 적용한 Form/XRML이라는 프로토타입 시스템을 설계하고 구현하였다. 본 프로토타입의 개발을 통해, 지식기반시스템의 지식을 활용하는 RTML이 폼을 비롯한 다양한 응용시스템에 내재될 수 있으며, 웹 페이지의 암묵적 규칙과 지식기반시스템의 규칙이 일관성 있게 유지될 수 있음을 보여 주었다. 요컨대 본 연구는 XRML이 지능형 웹으로 발전하기 위한 새로운 도구이며, KBS와 KMS의 통합을 위한 중요한 도구임을 입증하였다는 점에서 큰 의의를 갖는다고 하겠다.

• 전자공학회논문지B
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• 제29B권7호
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• pp.30-41
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• 1992

As a general model of rule-based systems, we propose a model for a fuzzy production system having chaining rules and an inference engine associated with the model. The concept of so-called 'fuzzy petri nets' is used to model the fuzzy production system and the inference engine is designed to be capable of handling inexact knowledge. The fuzzy logic is adopted to represent vagueness in the rules and the certainty factor is used to express uncertainty of each rules given by a human expert. Parallel, inference schemes are devised by transforming Fuzzy Petri nets to matrix formula. Futher, the inference engine mechanism under the Mamdani's implication method can be desceribed by a simple algebraic formula, which makes real time inference possible.

• 대한임베디드공학회논문지
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• 제13권4호
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• pp.215-223
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• 2018

Recently, as interest of wearable devices has increased, commercially available smart wristbands and applications have been used as a tool for personal healthy management. However most previous studies have focused on evaluating the accuracy and reliability of the technical problems of wearable devices, especially step counts, walking distance, and energy consumption measured from the smart wristbands. In this study, we propose a physical activity evaluation model using classification rules, induced from the associative classification mining approach. These rules associated with five physical activities were generated by considering activities and walking times in target heart rate zones such as 'Out-of Zone', 'Fat Burn Zone', 'Cardio Zone', and 'Peak Zone'. In the experiment, we evaluated the prediction power of classification rules and verified its effectiveness by comparing classification accuracies between the proposed model and support vector machine.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 하계학술대회 논문집 B
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• pp.992-994
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• 1995

FLC has a good performance for complication system or unknown model by using human linguistic method but many part control design are based on expert knowledge or trial-error method and it is difficult to prove stability and robustness of controller. In this paper we improve this problem by setting fuzzy rules by dividing phase plane of error and rate of error change by switching surface. We can guarantee the stability in nonlinear system, and also in fuzzy PID type controller the complexity of controller design is increased by increasing the number of input variables and defining more range of operation if we want performance of more specific rules, thus we need to fine the method to decrease the number of control rules used in FLC design. In this paper the algorithm is validated by simulation using conventional FLC and proposed method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 D
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• pp.2492-2494
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• 2000

Design of Fuzzy cotroller consists of intuition of human expert, and any other information about how to control system. If the rules adequately control the system, the design work is done well. If the rules are inadequate, the designer must modify the rules. Through this procedure, the system can be controlled. In this paper, we designed simply a fuzzy controller based on human knowledge, but it has errors showing some vibrations. So we updated the optimal parameters of fuzzy controller using Neural Network algorithm.

• 경영과정보연구
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• 제2권
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• pp.169-193
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• 1998

Case- based reasoning(CBR) offers a new approach for developing knowledge based systems. Unlike the rule-based paradigm, in which domain knowledge is encoded in the form of production rules, in the case-based approach the problem solving experience of the domain expert is encoded in the form of cases stored in a casebase(CB). CBR allows a reasoner (1) to propose solutions in domains that are not completely understood by the reasoner, (2) to evaluate solutions when no algorithmic method is available for evaluation, and (3) to interprete open-ended and ill-defined concepts. CBR also helps reasoner (4) take actions to avoid repeating past mistakes, and (5) focus its reasoning on important parts of a problem. Owing to the above advantages, CBR has successfully been applied to many kinds of problems such as design, planning, diagnosis and instruction. In this paper, I propose case-based DSS(CBDSS). CBDSS is an intelligent DSS using CBR technique. CBDSS consists of interface, case-based reasoner, maintainer, casebase management system, domain dependent CB, domain independent CB, and so on.

• International Journal of Knowledge Content Development & Technology
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• 제7권1호
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• pp.101-120
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• 2017

Healthcare professionals have edited many health questions (HQs) and their answers for healthcare consumers on the Internet. The HQs provide both readable and reliable health information, and hence retrieval of those HQs that are relevant to a given question is essential for health education and promotion through the Internet. However, retrieval of relevant HQs needs to be based on the recognition of the intention of each HQ, which is difficult to be done by predefining syntactic and semantic rules. We thus model the intention recognition problem as a text classification problem, and develop two techniques to improve a learning-based text classifier for the problem. The two techniques improve the classifier by location-based and area-based feature weightings, respectively. Experimental results show that, the two techniques can work together to significantly improve a Support Vector Machine classifier in both the recognition of HQ intentions and the retrieval of relevant HQs.