• Proceedings of the Safety Management and Science Conference
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• 2012.04a
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• pp.75-80
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• 2012

The research presents a guideline for quality practitioners to provide a full comprehension of differences in theoretical and practical interpretations of assumed sampling errors of and significance probability of calculated p-value. Besides, the study recommends the use of statistical inferences methods with known parameters to identify the improvement effects. In practice, the quality practitioners obtain the known parameters through systematic quality Database (DB) activities.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.510-514
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• 2004

Recommender systems are a personalized information filtering technology to help customers find the products they would like to purchase. Collaborative filtering is known to be the most successful recommendation technology, but its widespread use has exposed some problems such as sparsity and scalability in the e-business environment. In this paper, we propose a recommendation methodology based on Web usage mining and product taxonomy to enhance the recommendation quality and the system performance of original CF-based recommender systems. Web usage mining populates the rating database by tracking customers' shopping behaviors on the Web, so leading to better quality recommendations. The product taxonomy is used to improve the performance of searching for nearest neighbors through dimensionality reduction of the rating database. Several experiments on real e-commerce data show that the proposed methodology provides higher quality recommendations and better performance than original collaborative filtering methodology.

• Proceedings of the Korea Water Resources Association Conference
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• 2003.05b
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• pp.967-970
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• 2003

• Proceedings of the Korean Society for Quality Management Conference
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• 1998.11a
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• pp.287-292
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• 1998

As business looks towards the $21^{\st}$ century, a long-term strategy that focuses on global sourcing will be the vital factor in whether companies win or lose. At the same time, with electronic components, it is important to ensure stable quality and reliability, together with other important parameters. In order to achieve this, creating an effective mechanism of failure analysis and database management for electronic components is essential. The authors introduce the actual mechanism employed by NEC and explain the ideas and insight they have obtained from their experience.

• Journal of the Korea Society of Computer and Information
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• v.18 no.5
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• pp.133-145
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• 2013

The objective of this study is to contribute effective operation of traffic information center by traffic information data measure process which are now being serviced by frame work of traffic information and by providing traffic information assessment criteria which reliable traffic information throughout traffic information quality characteristics in intelligent transport system. For the objectives, we analyzed the information attribute of ontology technique for quality management of traffic information in system engineering database research area. Throughout the result of this study, SE database utilized the development of subsystems, the component and interface design for convenient and rapid information services, and diverse related reliable systems design and expected to be indicated in systematic database.

• Journal of the Korea Society of Computer and Information
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• v.10 no.6 s.38
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• pp.337-344
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• 2005

In order to Perform a PSA. it requires a large number of data for various fields. Therefore, the effective management of the data is essential to perform and review a PSA and to maintain the quality of a PSA. Korea Atomic Energy Research Institute (KAERI) is developing a PSA information management system (AIMS: Advanced Information Management System for PSA) which enhances the accessibility to PSA information for all PSA related activities. The AIMS is a database system that stores all references and links to the information used for the PSA analysis. The AIMS consists of a database, information browsing modules and a PSA model manager. This Paper describes how we implemented such a database centered application in the view of two areas, database design and data (document) service.

• Biomedical Science Letters
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• v.10 no.4
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• pp.485-493
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• 2004

In the current field of Medical Informatics, the information increases, and changes fast, so we can access the various data types which are ranged from text to image type. A small number of technician digitizes these data to establish database, but it is needed a lot of money and time. Therefore digitization by many end-users confronting data and establishment of searching database is needed to manage increasing information effectively. New data and information are taken fast to provide the quality of care, diagnosis which is the basic work in the medicine. And also It is needed the medical database for purpose of private study and novice education, which is tool to make various data become knowledge. However, current medical database is used and developed only for the purpose of hospital work management. In this study, using text input, file import and object images are digitized to establish database by people who are worked at the medicine field but can not expertise to program. Data are hierarchically constructed and then knowledge is established using a tree type database establishment method. Consequently, we can get data fast and exactly through search, apply it to study as subject-oriented classification, apply it to diagnosis as time-depended reflection of data, and apply it to education and precaution through function of publishing questions and reusability of data.

• Journal of Information Management
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• v.34 no.3
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• pp.21-39
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• 2003

This study aims to evaluate the quality of Bibliographic database : The Union Catalog system(UNICAT) and Korean Library Information System Network(KOLIS-NET). The seven criteria(Coverage, Accuracy, Completeness, Currentness, Consistency on the quality of data itself and easy of use, Customer Support on the quality of database service) are used to measure their quality. The purpose of this study was dignose the quality of two bibliographic database mentioned above and analyses the measured result of quality comparatively and to find out the problems of them and also to provide possible suggestion for their improvements.

• Journal of Korean Society for Quality Management
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• v.28 no.1
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• pp.196-209
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• 2000

In order to intensify an enterprise competition, quality inspection controls are very important issue. An organization or division of a company hopes which to acquire the quality inspection information be updated in real-time with respect to shop floor. In this paper, we develop a quality inspection control system for a Turbine/Generator production industry. The system compromises inspection scheduling module related to shop floor control (SFC) system, formal documentation control module, and formal inspection control module. In the quality inspection control system, ORACLE RDBMS is used for the database management system and ORACLE DEVELOPER 2000 is used for system development tool. The characteristic of this system is to support so it can enhance productivity and quality through inspection plans related to production scheduling.

• Journal of the Korea Society of Computer and Information
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• v.16 no.6
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• pp.119-130
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• 2011

On the point of data quality management, data quality is influenced by quality policy, quality organization, business process, and business rule. Business rules, guide of data manipulation, have effects on data quality directly. In case of building an integration database among distributed databases, defining business rule is more important because data integration needs to consider heterogeneous structure, code, and data standardization. Also data value has various figures depended on data type, unit, and transcription. Finally, database structure and data value problem have to be solved to improve data quality. For handling them, it is needed to draw database integration model and cleanse data in integrated database. NTIS(stands for National science and Technology Information Service) has an aim to serve users who need all information about national R&D by internet, and for that aim, it has a integrated database which has been made with several database sources. We prove that database integration model and data cleansing are needed to build a successful integrated database through NTIS case study.