• Journal of Korean Society for Quality Management
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• v.20 no.1
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• pp.91-100
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• 1992

A diagnosis system for naphtha reforming process has been designed and implemented using expert system building technique. The system is composed of knowledge base, inference engine, user interface, database and database interface. The concept and the method of this system may be applied to development of other systems for the reforming process.

• Digital Contents
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• no.5 s.96
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• pp.17-19
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• 2001

정보 함수는 정보 센터,시장정보,학습이 한데 모아져 지식관리(Knowledge Management(KM)) 함수를 형성하고 있다. 많은 정보 전문가들과 시장 정보 전문가들이 함께 연구하기 시작하면서 KM 프로그램들이 대부분의 경우 아직 제대로 정의되고 있지 못한 반면, 대부분이 자기 조직내의 KM을 전체적인 리더쉽이 거의 없는 누구나 참가할 수 있는 것으로 간주하고 있다.

• Digital Contents
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• no.8 s.99
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• pp.32-38
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• 2001

최근 들어 지식관리 시스템에 대한 관심이 고조되고 있다. 또한 축적된 지식자원의 효율적인 사용과 공유, 판매 등을 위해 필요한 것이 바로 지식관리시스템(Knowledge Management System)이다. 기업에게 있어서 지식자원은 또 다른 자산으로 평가 받고 있다. 외국의 경우 기업이 지닌 지식자원과 정보를 산술적인 자산으로 평가하는 시스템까지 시도하고 있다고 한다. 이 코너에서는 국내 KMS 시장 규모와 동향등에 대해 소개하고자 한다.

• Proceedings of the Korea Database Society Conference
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• 1998.09a
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• pp.187-198
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• 1998

마케팅의 Fundamental\ulcorner 마케팅 : 제품구매와 관련된 소비자의 행위를 연구 마케팅의 역사 : Mass marketing $\longrightarrow$ Market segmentation $\longrightarrow$ Database marketing 소비자 이해와 관리를 위한 다양한 정보와 지식을 제공한다. DBM, Relationship marketing, Frequency marketing, Loyalty marketing, Program customer management, Direct marketing(중략)

• Journal of the Ergonomics Society of Korea
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• v.19 no.1
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• pp.101-107
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• 2000

This study reviews several database menu structure for pc communication services to examine the efficiency of database menu structure. Database menu systems of 5 major pc communication companies were analyzed by GOMS methodology, a description of the knowledge that a user must have in order to carry out tasks on system. Also, each database access time of 4 pc communication companies were measured with internet pc environment in laboratory. It is recommened that another menu design strategies (for example, broad-shallow rather than narrow-deep) should be adopted because current menu structures have inefficient procedures to access those database.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.118-122
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• 2005

Data mining is the process of autonomously extracting useful information or knowledge from large data stores or sets. For analyzing data of manufacturing processes obtained from database using data mining, source data should be collected form production process and transformed to appropriate form. To extract those data from database, a computer program should be made for each database. This paper presents a program to extract easily data form database in industry. The advantage of this program is that user can extract data from all types of database and database table and interface with Teamcenter Manufacturing.

• MALSORI
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• no.47
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• pp.109-120
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• 2003

This paper presents about the activities of speech database standardization in ETRI. Recently, with the support of government, ETRI and SiTEC have been gathering the large speech corpus for the domestic speech related companies. First, due to the lack of sharing the knowledge of speech database specification, the distributed speech database has a different format. Hence it seems to be needed to have the same format as soon as possible. ETRI and SiTEC are trying to find the better representation format of speech database. Second, we introduce a new description method of the annotation information of speech database. As one of the structured description method, XML based description will be applied to represent the metadata of the speech database. It will be continuously revised through the speech technology standard forum during this year.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.115-117
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• 2004

Recently, mining far association rules in distributed database environments is a central problem in knowledge discovery area. While the data are located in different share-nothing machines, and each data site grows by time. Mining global frequent itemsets is hard and not efficient in large number of distributed sewen. In many distributed databases. time component(which is usually attached to transactions in database), contains meaningful time-related rules. In this paper, we design a new DTA(distributed temporal association) algorithm that combines temporal concepts inside distributed association rules. The algorithm confirms the time interval for applying association rules in distributed databases. The experiment results show that DTA can generate interesting correlation frequent itemsets related with time periods.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.145-154
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• 1999

An intelligent system embedded with multiple sources of knowledge may provide more robust intelligence with highly ill structured problems than the system with a single source of knowledge. This paper proposes the hybrid knowledge integration mechanism that yields the cooperated knowledge by integrating expert, user, and machine knowledge within the fuzzy logic-driven framework, and then refines it with a genetic algorithm (GA) to enhance the reasoning performance. The proposed knowledge integration mechanism is applied for the prediction of Korea stock price index (KOSPI). Empirical results show that the proposed mechanism can make an intelligent system with the more adaptable and robust intelligence.

• Proceedings of the Korea Database Society Conference
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• 2008.05a
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• pp.307-320
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• 2008

This study finds out the influence factor of knowledge sharing based on the viewpoint of the relationship central knowledge and inquires out the relationship between knowledge sharing and a knowledge activity performance. The related factor is set trust, openness communication and cooperation as independent variables. And the knowledge activity performance is set knowledge quality and user knowledge satisfaction as dependent variables which are influenced by knowledge sharing. This study proposes that to improve the organizational performance needs to manage not only knowledge, but also the users and surroundings.