• 한국시스템다이내믹스연구
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• 제6권2호
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• pp.5-23
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• 2005

This paper investigates a dynamic mechanism underlying the process of knowledge creation and evolution with a focus on the SECI model(standing for Socialization, Externalization, Combination, Internalization) as proposed by Nonaka and Takeuchi(1991) and broadly accepted especially among the practitioners in knowledge management field. The SECI model provides with intuitive logic and clear delineation of knowledge types between the tacit and the explicit, and embodies an interaction dynamic. However explanations of the propelling forces for the knowledge transfer over the four quadrants of the model is yet to be made. And the transmission mechanisms are not prescribed though the model mentions knowledge is created and evolved in a spiral process. This paper, therefore attempts first to extend and elaborate it into a dynamic SECI model by identifying those propelling factors and their relationships(linkages) based on the systems thinking.

• 지식경영연구
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• 제9권2호
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• pp.169-191
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• 2008

Information technology instruments arc being rampantly used for knowledge management in companies. IT is used as an interplay tool to enhance the flow of knowledge and information between people. KMS, especially, supports the knowledge management process including sharing, creating, and using of knowledge within a company, and maximizes the value of knowledge resources within an organization. The purpose of this paper is to understand how IT is changing the knowledge management activity. through various examples based on exploratory research from MANDO, the Korean automotive parts manufacturer, and POSCO, the global leading steelmaker. The result shows that IT boosts communication skills, thus creates a mutual relationship outcome. In the same context, the process of knowledge conversion by Nonaka's SECI model simplifies to an Externalization-Internalization process. This process accelerates the birth of explicit knowledge and Socialization, supplements the Limitations of the creation of knowledge in the E-I cycle. The E of knowledge simultaneously promotes the I, and eventually brings an advanced learning skill. IT aids the E of knowledge and furthermore, I and E activity, through the knowledge sharing, brings vitality into an organization. The interplay stage for knowledge activity is to be reorganized to a cyber ba. Furthermore, IT will galvanize the formation of core knowledge through systemized acquisition, management of core knowledge and standardization of work.

• 지능정보연구
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• 제1권1호
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• pp.61-72
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• 1995

Dynamic and explicit ordering of strategies is a key process in modeling knowledge-level problem-solving behavior. This paper addressed the important problem of howl to make the scheduler more knowledge-intensive in a way that facilitates the acquisition, integration, and maintenance of the scheduler control knowledge. The solution a, pp.oach described in this paper involved formulating the scheduler task as a heuristic classification problem, and then implementing it as a classification expert system. By doing this, the wide spectrum of known methods of acquiring, refining, and maintaining the knowledge of a classification expert system are a, pp.icable to the scheduler control knowledge. One important innovation of this research is that of recursive heuristic classification : this paper demonstrates that it is possible to formulate and solve a key subcomponent of heuristic classification as heuristic classification problem. Another key innovation is the creation of a method of dynamic heuristic classification : the classification alternatives that are selected among are dynamically generated in real-time and then evidence is gathered for and aginst these alternatives. In contrast, the normal model of heuristic classification is that of structured selection between a set of preenumerated fixed alternatives.

• 한국정보시스템학회지:정보시스템연구
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• 제10권2호
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• pp.165-192
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• 2001

Knowledge Management (KM) is the systematic, explicit, and deliberate building, renewal, and application of knowledge to maximize an enterprise's knowledge-related effectiveness and performance from its knowledge assets. KM applies systematic approaches to find, understand, and use knowledge to create new capabilities, solve problems, enable superior performance, and encourage innovation. The purpose of this research is to identify the relationship of KM capabilities (KM infrastructures and KM processes) and organizational effectiveness and performance. An empirical research of the relationship of knowledge management capabilities and organizational effectiveness and performance is conducted from the information systems and knowledge management literature in order to access the following questions: (1) Does the knowledge management infrastructure contribute to the organizational effectiveness and peformance? (2) Does the knowledge management process contribute to the organizational effectiveness and peformance? The research design employs a mail survey questionnaire for gathering data from 500 firms in a number of industries. From a mail survey of 61 top managers of knowledge management, the results of empirical analyses provide the following major findings: (1) While the external effectiveness of organization is influenced by the cultural infrastructure of knowledge management, the overall performance of organization is influenced by the structural infrastructure of knowledge management. (2) While the external effectiveness of organization is influenced by the application and protection processes of knowledge management, the overall performance of organization is influenced by the knowledge acquisition process of knowledge management.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2019년도 추계학술대회
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• pp.14-16
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• 2019

명시적지식(Explicit Knowledge) 및 암시적지식(Implicit Knowledge) 등 외국어학습 이론을 적용한 선박교통관제사 영어교육 개선 방향을 연구하여 선박교통관제사 현장직무교육의 실효성을 증대하는 등 선박교통안전강화의 기반을 마련하고자 하였다.

• 정보학연구
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• 제4권1호
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• pp.39-54
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• 2001

본 논문에서는 웹브라우저를 이용하여 로봇을 원격 제어한다. 4대의 독립된 PC를 사용하여 각각의 기능을 분리하고 상호 연동하는 구조로 PC를 연결하였다. 조작자가 시간과 장소에 제약받지 않고 웹 브라우저를 이용하여 제어값을 입력하면 제어값은 웹 서버를 거쳐 데이터베이스에 저장된다. 로봇과 연결된 PC는 데이터베이스에서 1ms 간격으로 제어값을 입력받아 제어값의 변화가 있을 경우만 제어값의 변화량으로 로봇이 동작한다. 스텝모터를 이용하여 간단한 로봇을 제작하고 이를 웹 브라우저를 이용하여 실제 동작시킨다. 조작자가 원하는 제어값이 최종 수신단의 로봇에 제대로 전달되어 동작하는지 확인하고 웹브라우저를 이용한 로봇제어의 가능성을 확인하였다.

• 시큐리티연구
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• 제3호
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• pp.273-305
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• 2000

The knowledge substitutes the traditional factors of production - land, labor, and capital - and has become one of the most important new resources. The Internet Knowledge Society is where the knowledge is the major source of development and competition. Now more than 350mi11ion computers are connected to internet servers and the internet users are more than 250mi11ion. The purpose of this paper is to propose some key factors for implementing the Police Knowledge Management System(PKMS) based on Intranet. With Information Technology(IT), the police administrative system will be much more efficient. Introducing the If into the system is critical for restructuring the police administrative system. This paper concludes as follows : ■ Knowledge is divided into tacit and explicit one. Knowledge process is divided into acquisition, accumulation, distribution and creation of knowledge. ■ The IntraNet is composed of Web server, FTP server, electric-mail server, and is constructed security system to safety. ■ All policemen are bound to serve as a new knowledge worker. ■ Police organization needs to operate data management system. The organization also needs to the Police Knowledge Management Center(PKMC). And the Police Chief Knowledge Officers(PCKO) needs to be appointed to manage the PKMC. ■ An information and knowledge infrastructure(various databases are the most important factor) should be established within the organization to promote the self-directed management, the interactive communication, and the learning ability of the members.

• 한국도서관정보학회지
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• 제33권1호
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• pp.169-192
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• 2002

지식경영은 1990년대의 중요한 이슈로서 기업사회에서 폭발적으로 나타날 개념이다. 본고에서는 지식경영의 배경 및 정의, 지식경영 분야를 지배하는 주요 지배그룹과 테마 등 주요 개념과 이슈들을 살펴보았다. 특히 명시적 지식, 암묵적 지식 및 지식 인프라를 통합하는 도형적 모델을 제사하고, 모델의 중요한 특성을 상세하게 검토하였다. 또한 능률적인 지식경영시스템의 구축방법과 전형적인 사례 및 사서의 역할을 간략히 살펴보았다.

• 지능정보연구
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• 제1권2호
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• pp.57-71
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• 1995

This paper presents a rule extraction algorithm RE to acquire explicit rules from trained neural networks. The validity of extracted rules has been confirmed using 6 different data sets. Based on experimental results, we conclude that extracted rules from RE predict more accurately and robustly than neural networks themselves and rules obtained from an inductive learning algorithm do. Rule extraction algorithm for neural networks are important for incorporating knowledge obtained from trained networks into knowledge based systems. In lieu of this, the proposed RE algorithm contributes to the trend toward developing hybrid and versatile knowledge-based system including expert systems and knowledge-based decision su, pp.rt systems.

• 한국지구과학회지
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• 제41권5호
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• pp.531-554
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• 2020

본 연구는 귀추적 탐구 중심 야외 지질 답사 교육의 실제에 대한 설명을 제공하기 위해, 명시적 지질학 지식 및 탐구 학습 도입 전·후의 지질 답사에서 나타난 학생들의 귀추 수행 특징을 살펴보았다. 이를 위해 사전 평가, 초기 답사, 명시적 지질학 지식 및 탐구 학습, 후기 답사, 사후 평가 등의 순서로 진행되는 21차시의 프로그램을 개발하여 중학생 9명에게 적용했다. 연구 자료로서 야외 지질 답사 수업 녹화·녹음 자료 및 학생 활동지가 수집되어 질적으로 분석되었다. 연구 결과, 초기 답사에서 학생들은 지질학적 중요도가 낮은 단서를 포착했고, 해당 단서의 생성 원인에 대한 가설 생성을 요구받자 일상 경험 및 일반 과학 지식을 규칙으로 활용했으며, 생성된 가설을 규칙의 과학성이나 임의적 기준에 의해 평가했다. 한편, 후기 답사에서 학생들은 지질학적 핵심 단서를 포착했고, 자발적으로 해당 단서와 관련된 지질학적 사건 가설을 지질학 개념을 규칙으로 차용해 생성했으며, 생성된 가설을 관찰 증거와 규칙의 정합성을 바탕으로 과학적으로 평가했다. 이러한 결과를 종합하여, 지질 답사에서 능숙한 귀추 수행을 위해 학습자의 지질학 지식과 탐구(귀추) 역량이 미치는 영향을 경로로 제시했다.