• Title/Summary/Keyword: knowledge-base

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A Study on Automatic wear Debris Recognition by using Particle Feature Extraction (입자 유형별 형상추출에 의한 마모입자 자동인식에 관한 연구)

  • ;;;A. Y. Grigoriev
    • Tribology and Lubricants
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    • v.15 no.2
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    • pp.206-211
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    • 1999
  • 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.

Development ontology model for partnership in supply chain networks (Supply Chain 파트너쉽에 관한 Ontology 모델 개발)

  • Lee, Hae-Kyeong;Kim, Tai-Oun
    • 한국IT서비스학회:학술대회논문집
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    • 2009.11a
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    • pp.9-19
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    • 2009
  • SCM은 시장의 변화를 신속하고 파악하고 IT 기술을 활용해 정보를 공유함으로써 변화에 보다 적극적으로 대처해 전체 Supply Chain의 이익을 높이고자 하는 전략적 사고라고 할 수 있다. SCM에서 파트너 선정은 장기적이고 전략적인 관점에서 이루어져야 하는 지식 집약적인 업무 Process이다. 본 연구는 SCM에서 파트너 선정의 절차를 Task Modeling을 통해 재사용 가능한 Knowledge-base를 개발하는 것이다. 이를 위해, 첫 번째로 전문가의 문제 해결 과정을 분석해 문제 해결 과정을 대상으로 한 Problem-Solving Ontology(Task Ontology)를 도출하고, 두 번째로 문제 해결 과정에 필요한 Domain Knowledge를 추출해 파트너 선정 문제 해결에 필요한 Domain Ontology를 개발한다. 끝으로 Problem-Solving Ontology와 Domain Ontology를 Protege를 통해 구현하고자 한다.

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Offshore Outsourcing Success : An Integrated Framework

  • Kim, Jin Ki
    • Journal of Information Technology Applications and Management
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    • v.24 no.4
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    • pp.153-170
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    • 2017
  • As the digital economy goes global, firms are trying to find suppliers that can address their managerial goals and strategies. The alternatives are not confined to domestic firms. Firms have been trying to connect to foreign partners worldwide. Although offshore outsourcing grants firms various benefits, they present big cultural challenges. However, there is little research on the impact of cultural or country factors on outsourcing. The goal of this paper is to synthesize the outsourcing success literature and develop propositions for outsourcing success in the context of offshore outsourcing. This paper proposes that cultural effects should be included in evaluating the success of offshore outsourcing. Knowledge sharing and the scope of outsourcing are adopted in the base outsourcing success model from previous literature. In the extended model partnership quality is included as a mediator and organizational capability and outsourcing relationship type are also included as moderator. Finally, the integrated framework of offshore outsourcing success includes cultural factors as moderators of the relationships between outsourcing success antecedents and the success of offshore outsourcing. Reasoning for propositions, managerial implications, and future research directions are discussed.

A Fault Diagnostic Expert System for Silicone Oil-filled Transformer Using Dissolved Gas Analysis (유중가스분석법을 이용한 실리콘 유입변압기 고장진단 전문가 시스템)

  • Moon, Jong-Fil;Kim, Jae-Chul;Choi, Joon-Ho;Jun, Young-Jae;Kim, Oun-Seok
    • Proceedings of the KIEE Conference
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    • 2001.11b
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    • pp.374-376
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    • 2001
  • In this paper, we developed the fault diagnostic expert system of silicone-immersed transformer using dissolved gas analysis. The knowledge base module consists of the knowledge using the rule: if Then . The inference engine uses the fuzzy rule for the management of uncertainty of the boundary and rule and derivate the Belief and Plausibility of the normality and fault using Dempster-Shafer theory. The expert system is connected to the database and it can manages the history of gas-data of the transformer.

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A critique: The good and bad of a review

  • McMullen, Debbie;McClean, Rhett;Pak, Sok Cheon
    • CELLMED
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    • v.5 no.3
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    • pp.16.1-16.3
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    • 2015
  • Evidence based medicine involves using both the individual clinician's expertise and the current best available external clinical evidence from systematic research in deciding on the appropriate care for individual patients. The current approach to evidence based practice in healthcare adds a third component which is patient values. Evidence based practice is thus a triad, in which the practitioner's expertise, research evidence and the patient's values are all given consideration. The balance to be struck between them depends on the individual case. The literature indicates that complementary medicine practitioners are moving away from traditional knowledge and towards the use of evidence based practice in their clinical discussions. In the context of the daily practice of complementary medicine practitioners and their continuing development of their knowledge base of evidence based practice, this short review discusses the good and bad of a review journal article.

Construction of Rulebase and Its Inference Method for Protective Relay Setting Using Oracle Database (Oracle DB를 이용한 송전계통 보호 계전기 정정 Rule base구축 및 추론)

  • Joo, H.J.;Min, B.W.;Lee, S.J.;Kang, S.H.;Choi, D.S.;Cho, B.S.;Lee, W.H.;Choi, H.S.
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.119-121
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    • 2000
  • The protective relay setting of transmission systems has to consider various factors such as the protrected device, relay type and system conditions and it requires the empirical knowledge of experts. In this study. The setting rules have been accumulated in Oracle DB and its inference scheme has been devised. Their applications to relay setting system are expected to refine the setting knowledge enhancing the accuracy and consistency of the relay setting.

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Construction of Knowledge-based Simulation Environment Using Expert System and Database (전문가 시스템과 데이터 베이스를 사용한 지식 기반 시뮬레이션 환경 구축)

  • 김형종;이주용;조대호
    • Journal of the Korea Society for Simulation
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    • v.9 no.3
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    • pp.27-41
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    • 2000
  • As the application domains of rule-based systems become larger and more complicated, the integration of rule-based systems within the database systems has become the topic of many research works. This paper suggests a simulation modeling using expert system and database. The integration methods employed in this research are as follows. First, we defined new states and state transition functions to interrelate simulation model and expert system. Second, we designed and implemented FCL(Fact Class Library) as a interface of expert system and database. FCL has facilities of filtering data from database, and assigning a meaning to the filtered data. Also, FCL detects the violation of the integrity rules in database, as the result of inference is reflected. Some implementation problems are pointed out and the methods to solve these problems are discussed in this paper, We developed a simulation model of the grating production line and executed it to validate the functions of the proposed method.

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An Expert System Development for Control Chart Selection and Interpretation (관리도 선정 및 해석을 위한 전문가시스템 개발)

  • 유춘번;이태규
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.21 no.45
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    • pp.265-277
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    • 1998
  • The control chart has been used widely and importantly as a tool for statistical process control(SPC). Most companies are concerned with improving the quality and the productivity as well as reducing the cost, especially in today's highly competitive environment. Though SPC is known as a technique for consistent quality, it is not used properly due to lack of knowledge about it. It is required to develop a support system for control chart selection and interpretation that can be utilized by non-specialist without hard training or experiences. The support system was developed by applying the expert system tool to popular control charts. Though some researches on this area has been performed, the implemented results expose many problems in field applications due to the unsatisfactory explanation of the selected control chart and limited knowledge base for resolving the problems. This thesis presented an expert system for control chart as solution for these problems. The expert system for the control chart selection and interpretation is developed by using Turbo C and EXSYS which is an expert system development tool.

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A Knowledge-Based Plastics Injection Molding Expert System for Diagnosis and Troubleshooting (플라스틱 사출성형의 진단과 불량대책을 위한 지식기반 전문가시스템)

  • 최진성;서태설;한순흥
    • Journal of Intelligence and Information Systems
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    • v.2 no.1
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    • pp.1-9
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    • 1996
  • 사출 성형의 초보자도 이용할 수 있으며 사출 성형기의 이력 관리를 할 수 있는, 플라스틱 사출 성형의 진단과 불량대책을 위한 지식 기반 전문가 시스템을 ATR-IM 이라는 범용 전문가시스템 쉘을 이용하여 구현하였다. 지식베이스(knowledge base)는 수지 회사와 관련 서적, 전문가의 경험을 토대로 구축하였으며, 구현된 시스템은 크게 사출 공정 조건 설정 시스템, 사출기 ID에 따른 이력 관리 시스템, 사출성형 불량진단 시스템의 세부분으로 나누어 구성하였다. 본 연구를 통해 제안된 방법에 따라 업체별 사출기 성능에서 오는 공정 조건값의 차이를 사출공정 조건값의 저장에 의해 고려할 수 있으며, 불량 해결에 대한 전문가시스템이 추론 순서 결정을 경험적 확률에 따라 이루어지도록 함으로써 현장에서의 작업 환경을 고려한 전문가시스템이 되도록 하였다.

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Load Forecasting for Special Days Using Knowledge Base (지식기반을 이용한 특수일의 수요예측)

  • Cho, Sung-Woo;Hwang, Kab-Ju
    • Proceedings of the KIEE Conference
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    • 1996.07b
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    • pp.698-700
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    • 1996
  • A knowledge based forecasting system for special days has been developed for the economic and secure operation of electric power system. If-then production rules has been adopted in this system to be used in various environmental conditions. Graphic user interfaces enables a user to access easily to the system. The simulation based on the historical data have shown that the forecasting result was improved remarkably when compared to the results from the conventional statistical methods. The forecasting results can be used for power system operational planning to improve security and economy of the power system.

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