• Journal of Korean Society for Geospatial Information Science
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• v.8 no.2 s.16
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• pp.79-88
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• 2000

It is essential to build a high quality database in developing a UIS to enhance the administrative effectiveness of municipal governments. To secure such a high quality DB, a proper methodology of quality control should be established. It is imperative to have such a method fit UIS DB considering that the conventional method has mainly been focusing on the quality control of the digital layers itself. Therefore, this study have analyzed the city of Inchon's UIS DB to devise a proper method to categorize the types of errors and to identify major relevant items. Also, the magnitude and frequency of each error along with its major cause have been analyzed to propose a quality control procedure to minimize the errors

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.1-10
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• 2016

This paper focus on the digital media quality of one source multi-use for the vitalization of Korean classical literature. This paper examines the structural relationship between the quality of digital media and learning satisfaction/sustainable use intention through digital media. For this we used the case of The 'Encyclopedia of Korean Local Culture(www.grandculture.net)'. Thus we conducted a survey of 418 high school students attending a classical literature class which used the local culture DB. The result of this study demonstrates that quality of media content and media service quality affect the learning satisfaction even if media system quality does not affect the learning satisfaction. Learning satisfaction affect strongly. The result of multi regression showed that system quality increased the learning satisfaction in the high group, but system quality did not effect the learning satisfaction in the low group. These results indicate that if system quality is enhanced, learning satisfaction will be slightly increased, and if quality of contents and services is enhanced, learning satisfaction will be strongly increased.

• Journal of Cadastre & Land InformatiX
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• v.50 no.2
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• pp.81-100
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• 2020

The purpose of this study was to propose applicability of spatial data and quality check criteria for estimating damage from storm and flood. Using the data from the National Disaster Management System and National Spatial Data Infrastructure, spatial database for estimation of storm and flood damage has been mapped to each type of damage. This was proposed as the quality check criteria for damage analysis. Through this study, it is possible to utilize the spatial database for estimating storm and flood damage. The reliability of analysis results are ensured through the quality check criteria.

• MALSORI
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• no.44
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• pp.145-156
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• 2002

This paper describes the reduction of DB without degradation of speech quality in Corpus-based Speech synthesizer of the Korean language. In this paper, it is proposed that the frequency of every unit in reduced DB reflect the frequency of units in the Korean language. So, the target population of every unit is set to be proportional to its frequency in Korean large corpus (780k sentences, 45Mega phones). Secondly, the frequent instances during synthesis should be also maintained in reduced DB. To the last, it is proposed that frequency of every instance be reflected in clustering criteria and used as another important criterion for selection of representative instances. The evaluation result with proposed methods reveals better quality than that using conventional methods.

• Proceedings of the Korean Society for Information Management Conference
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• 2003.08a
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• pp.153-161
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• 2003

본 연구에서는 실세계 DB에 현실적으로 적용할 수 있는 DB품질평가항목을 개발하고자 한다. ISO 9126에 근거하여 DB품질평가 항목을 도출하고 소프트웨어의 프로세스를 심사하고 이에 기반하여 프로세스를 개선할 수 있도록 하는 CMM모형을 적용하고자 한다. DB 품질평가 항목의 개발은 기존 관련문헌 검토 및 유사분야에서 개발된 평가 모델을 분석하고, ISO 9126에 근거하여 DB품질평가 항목을 새롭게 도출하여 CMM모델을 적용한 데이터베이스 품질 프로세스 성숙도 모델을 제시하고자 한다.

• Journal of the Korean Society for information Management
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• v.13 no.1
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• pp.119-141
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• 1996

The purpose of this study is to seek how to effectively acquire a full-text using LHI(Loca1 Holdings Information) when we search bibliographic DB. For this study, the pre-investigation of LHI within Online and CD-ROM DB was made using local and overseas literature. The questionary survey was made of librarians and users who have used CD-ROM. The finding of this study is that LHI is not very widely used in libraries, thus more study on ,LHI within Online and CD-ROM DB is required to get high quality information service.

• 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.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.4
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• pp.68-82
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• 2020

Due to recent climate change, lager-scale storm and flood disasters have occurred. To prepare for this, the government is operating the national disaster management information system(NDMS), it is insufficient that unification and standardization of disaster site information data. In this study, to establish a disaster information display system, spatial DB was stored, quality standards were presented and the quality of spatial information currently provided was evaluated. As a result of evaluation, spatial information is established as different standard for each institution. So it is difficult to integrate and use. It considered that prepare a common standard to redeem this difference.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.2
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• pp.129-137
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• 2008

In this paper, we propose an improved Bayesian Filtering mechanism to reduce the False Positives that occurs in the existing Bayesian Filtering mechanism. In the existing Bayesian Filtering mechanism, the same Bayesian Filtering DB trained at the e-mail server is applied to each e-mail user. Also, the training method using receiving e-mails only could not provide the high quality of ham DB. Due to these problems, the existing Bayesian Filtering mechanism can produce the False Positives which misclassify the ham e-mails into the spam e-mails. In the proposed mechanism, the sending e-mails of the user are treated as the high quality of ham information, and are trained to the Bayesian ham DB automatically. In addition, by providing a different Bayesian DB to each e-mail user respectively, more efficient e-mail filtering service is possible. Our experiments show the improvement of filtering accuracy by 3.13%, compared to the existing Bayesian Filtering mechanism.

• Journal of Korean Society for Quality Management
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• v.45 no.4
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• pp.933-942
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• 2017

Purpose: The purpose of this paper is to evaluate the performance quality of the open source DBMSs. Performance quality is defined as processing time for Join queries. Query processing time is measured and compared in the most widely used open source DBMSs and commercial DBMS. Methods: By varying the number of tuples of two relations to be joined, the average processing time(seconds) of a Join query in each DBMS was obtained experimentally. ANOVA and Tukey HSD test were used in order to compare the performance quality of DBMSs. Results: There was a significant difference between the performance qualities of the three DBMSs at all experimental levels where the number of tuples was 100, 1,000, 2,000, 10,000, and 50,000. As a result of the Tukey HSD test, two open source DBMSs (MariaDB, MySQL) were classified in the same group only at the tuple level of 100. The commercial DBMS (MS-SQL Server) belonged to another group. At level of more than 1,000 tuples, all three DBMSs belonged to different groups. Conclusion: Within the open source DBMS group, MariaDB showed the better performance quality except for a small number of tuples. Thus the results show that MariaDB can be the alternative to MySQL which is currently most widely used. Between open source DBMS and commercial DBMS groups, MS-SQL Server always shows the best performance quality, but the less number of tuples, the less the difference.