• 제목/요약/키워드: knowledge-based

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Knowledge-Based Control via the Internet

  • Tang, Kok-Zuea;Goh, Han-Leong;Tan, Kok-Kiong;Lee, Tong-Heng
    • International Journal of Control, Automation, and Systems
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    • 제2권2호
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    • pp.207-219
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    • 2004
  • This paper presents the development of a knowledge-based control system operating via the Internet. With the synergy provided by the Internet, the central expert controller with its knowledge-base has the potential to serve a multitude of front-end clients located anywhere in the world provided they have Internet access. In this way, the operational span of the knowledge-based control system can be expanded to virtually anyplace within the reach of the Internet. This configuration has positive implications in improving the efficiency of distributed operations, thereby enabling plantwide optimization and costs savings. Datasocket technology is adopted to facilitate a more efficient data exchange between the knowledge-based central server and the front-end clients. A specific application in the remote monitoring and fault diagnosis of machines using the proposed control configuration is presented in the paper.

굴삭기 설계 영역에 대한 온톨로지 모델 및 온톨로지 기반 설계 시스템 개발 (A development of an ontology model and an ontology based design system for the excavator design)

  • 배일주;이수홍;전찬모;장준현
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2006년도 춘계학술대회 논문집
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    • pp.613-614
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    • 2006
  • Design data, information, and knowledge have complex associations with each other. Systems related with the management of the data, information, and knowledge are various, and the representations are numerous. Therefore it is difficult to construct a knowledge based design system with a full association knowledge for supporting the design tasks. In this research, OWL based ontology model for an excavator design is developed for the representation of the relationships. Also an ontology model is used to develop the knowledge based excavator design system.

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지식자산의 측정, 보고 및 활용 : 통신회사의 사례를 중심으로 (The Measurement, Reporting, and Utilization of Knowledge Assets : The Case of Telecom Company)

  • 박경석;한인구
    • 지식경영연구
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    • 제9권3호
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    • pp.173-194
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    • 2008
  • Conventional financial accounting system has overseen the significant roles of the non-financial facets of the activities of the company, especially whose value creating abilities are based on knowledge assets. In the knowledge-based economy, telecommunication service companies must recognize the changes from the tangible assets to the knowledge assets as value creating resources, understand the dynamic processes in which the knowledge is converted to financial profits and seek the method to measure and report knowledge assets to sustain the competitive advantage continuously. This study proposes the indicators and measures of knowledge assets of Korea Telecom. Through the analysis and application of tile knowledge assets report of the Korea Telecom, this study shows the usefulness of the knowledge assets report.

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SECI모델을 이용한 생산현장 지식경영촉진체계 구축 (Development of a Knowledge Management Promotion System of Utilizing the SECI Model in Production Fields)

  • 김영인;홍성조
    • 산업경영시스템학회지
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    • 제31권2호
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    • pp.1-10
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    • 2008
  • In the knowledge-based society which recognizes knowledge as a core value, knowledge management is one of the most interesting issues. The creation of knowledge within an organization occurs as a result of interactions of tacit and explicit knowledge, in process of knowledge conversion. One useful model of this process is the SECI model which stands for a process of socialization, externalization, combination and internalization of knowledge. The enterprise competitive power depends on how an organization accelerates the speed of the cycle of knowledge creation well. In this paper we introduce a knowledge management promotion system based on SECI model and proposal system to promote the cycle of knowledge creation in production fields, and study an enterprise case.

KMS 활용을 통한 지식창조 기제 연구 : 몰입의 관점을 중심으로 (A Study on the Knowledge Creation with KMS Usage : Focusing on the Flow Theory)

  • 이지면;박기우;문준서;김종현
    • Journal of Information Technology Applications and Management
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    • 제18권1호
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    • pp.75-100
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    • 2011
  • For decades, thousands of corporation introduced knowledge management systems to respond knowledge-based society. However, it seems that the systems merely focusing on knowledge accumulation and its sharing have been bounded by many restrictions in terms of new knowledge creation based on the life cycle of knowledge management systems. Moreover, recently, a variety of knowledge management activities regarding organization, systems, and process is emphasized as a strategic asset for a corporation to create core knowledge. Therefore, this study adopted the Csikszentmihalyi's flow theory to investigate the factors affecting knowledge creation and the success factors of knowledge management systems in virtual space. Prior studies argued that flow experience should be a prerequisite for creative knowledge creation. In that vein, this research revealed the causal relationships for flow experience between the determinants of clear goal, immediate feedback, congruence of challenge and skill. Additionally, it empirically examined how flow experience affected the exploratory behavior of knowledge creation.

반도체 IP 산업에서 지식기반 기업의 기술혁신 전략에 대한 사례연구 (Knowledge-based company's technology innovation strategy and case analysis in semiconductor IP industry)

  • 김민식
    • 기술혁신학회지
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    • 제15권3호
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    • pp.500-532
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    • 2012
  • 본 연구는 반도체 IP산업의 지식기반 기업에 있어 기술혁신전략에 대하여 분석한 것이다. 분석을 위한 이론적인 논의는 i)지식의 창조 보호 활용과 혁신에 관한 이론, ii)혁신으로부터 가치 창출에 대한 이론 iii)모듈화, 시장진입시기, 표준(지배적 디자인)의 등장 경쟁 등의 중심으로 수행되었다. 이러한 이론적인 선행 연구를 통해 지식기반 기업의 기술혁신전략에 대한 탐색적인 연구가설을 제시하였다. 그리고 최종적으로 이러한 반도체 IP산업의 대표적인 지식기반 기업으로 ARM과 INTEL의 기술혁신 전략 사례 분석을 분석하여, 제시된 연구 가설들을 확인하였다. 첫째, 기술 주기에 있어 초기단계에 진입하는 지식기반기업은 i)상호보완적 자산(지식)에 대한 접근성이 낮아 수직 통합하는 기술 전략을 선택하며, ii)환경변화로 인한 산업의 가치사슬 분화에도 불구하고 수직결합적인 기술 전략을 주요한 방향으로 유지한다. 둘째, 기술 주기에 있어 후기단계에 진입하는 지식기반 기업은 i)상호보완적 지식자산에 대한 접근성이 높아져 계약거래를 통한 기술 혁신 전략을 선호하며, ii)보유한 지식자산에 있어 불연속적인 특징의 존재여부에 따라 기술 혁신 전략의 경로를 다르게 선택한다.

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동적지식도와 데이터베이스관리시스템 기반의 전문가시스템 개발 (Development of Expert Systems based on Dynamic Knowledge Map and DBMS)

  • Jin Sung, Kim
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2004년도 추계학술대회 학술발표 논문집 제14권 제2호
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    • pp.568-571
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    • 2004
  • In this study, we propose an efficient expert system (ES) construction mechanism by using dynamic knowledge map (DKM) and database management systems (DBMS). Generally, traditional ES and ES developing tools has some limitations such as, 1) a lot of time to extend the knowledge base (KB), 2) too difficult to change the inference path, 3) inflexible use of inference functions and operators. First, to overcome these limitations, we use DKM in extracting the complex relationships and causal rules from human expert and other knowledge resources. Then, elation database (RDB) and its management systems will help to transform the relationships from diagram to relational table. Therefore, our mechanism can help the ES or KBS (Knowledge-Based Systems) developers in several ways efficiently. In the experiment section, we used medical data to show the efficiency of our mechanism. Experimental results with various disease show that the mechanism is superior in terms of extension ability and flexible inference.

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ATTITUDES TOWARDS KNOWLEDGE SHARING AMONG QUANTITY SURVEYORS

  • Kherun Nita Ali;Md Asrul Nasid Masrom;Pow Yih Wen
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.567-574
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    • 2011
  • The purpose of this paper is to identify factors that influence knowledge sharing and determine the attitudes of quantity surveyors towards knowledge sharing based on the factors. The analysis was based on an online questionnaire survey of Registered Quantity Surveyors from Selangor and Kuala Lumpur. Individualism and collectivism were identified as two major factors that influence attitude towards knowledge sharing. Indicators of individualism include individual attitude, competitiveness, care, incentives and rewards; while the indicators of collectivism are trust, social behaviors and motivation. The findings show that the level of attitudes towards knowledge sharing among quantity surveyors is generally high under enabling organizational environment. However, this is a cautious conclusion as the valid sample on which the analysis is based is relatively small. Willingness to share was found to be highest when incentives and rewards are involved as well as when there is a knowledge management system to promote continuous learning and sharing of knowledge.

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중소병원 간호사의 근거기반 통증 관리 지식과 수행 및 근거기반 실무에 대한 태도 (Nurses' Evidence-Based Pain Management Knowledge, Performance and EBP Attitude in Small-medium Sized Hospitals)

  • 홍인화;은영
    • 한국임상보건과학회지
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    • 제3권4호
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    • pp.476-489
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    • 2015
  • Purpose. The purpose of this study was to investigate the evidence-based pain management knowledge, performance and Evidence-Based Practice(EBP) attitude of nurses at small-medium sized hospitals. Methods. The sample of this study were 214 nurses. Data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation and stepwise multiple regression using SPSS/Win 21.0 Results. Evidence-based pain management knowledge score averaged $3.95{\pm}0.43$, with significant differences depending on clinical experiences. Performance score averaged $3.77{\pm}0.51$. EBP attitude score averaged $3.21{\pm}0.57$, and significant differences were evident depending on hospital division and clinical setting. Evidence-based pain management knowledge and EBP attitude were significant predictors of evidence-based pain management performance. Conclusions. This result indicates that education and training programs to facilitate evidence-based pain management knowledge, performance, and EBP attitude are needed among nurses.

RDB-based Automatic Knowledge Acquisition and Forward Inference Mechanism for Self-Evolving Expert Systems

  • Kim, Jin-Sung
    • 한국지능시스템학회논문지
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    • 제13권6호
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    • pp.743-748
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    • 2003
  • In this research, we propose a mechanism to develop an inference engine and expert systems based on relational database (RDB) and SQL (structured query language). Generally, former researchers had tried to develop an expert systems based on text-oriented knowledge base and backward/forward (chaining) inference engine. In these researches, however, the speed of inference was remained as a tackling point in the development of agile expert systems. Especially, the forward inference needs more times than backward inference. In addition, the size of knowledge base, complicate knowledge expression method, expansibility of knowledge base, and hierarchies among rules are the critical limitations to develop an expert system. To overcome the limitations in speed of inference and expansibility of knowledge base, we proposed a relational database-oriented knowledge base and forward inference engine. Therefore, our proposed mechanism could manipulate the huge size of knowledge base efficiently. and inference with the large scaled knowledge base in a short time. To this purpose, we designed and developed an SQL-based forward inference engine using relational database. In the implementation process, we also developed a prototype expert system and presented a real-world validation data set collected from medical diagnosis field.