• The Journal of the Korea Contents Association
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• v.2 no.4
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• pp.76-84
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• 2002

The conventional database evaluation method is carried out by the way in which the person in charge of each specialty database(DB manager) composes the evaluation sheets for corretionㆍrevision on the already-constructed database in a manual method and carries out the measurement and re-education of DB workers based upon it. As a result, that way consumes much time on career information and measurement works about DB workers, causing low time and cost efficiency and lack of systematic management of DB workers, resulting in becoming the hindrance factor of databases quality improvement. This research provides on-line, red-time results of measurements about the efficiency of DB production and DB workers by combining the static measurement with dynamic measurement by DB manager, both of which utilize the System. Therefore, the DB manager can contribute to the improvement of DB quality by determining the continuation of DB production by DB workers or carrying out the re-education of DB workers without being affected by time or spacial constraints.

• Journal of the Korean Society for Library and Information Science
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• v.38 no.2
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• pp.161-187
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• 2004

This study concerns DB quality of the Web databases which has been produced in medical science. For the quality evaluation of Embase and PubMed, 10 evaluating criteria were developed on the basis of literature review. The evaluation result showed that PubMed has superiority to the currentness, accuracy, completness, consistency, ease of use, customer support, searchability, cost, and network ＆ H/W on DB, but Embase has only superiority to the coverage. It is needed for purchasing, user training, and library service based on the above evaluation result.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.1
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• pp.95-117
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• 2006

The research purpose for this study is to evaluate the quality of the KOLIS-NET DB which builded bibliographic data of the holding collections of nationwide public libraries. The quality evaluation of the KOLIS-NET DB was inspired by the successful experience from researches precedent and tried to approach the case study focuses on six quality dimensions : coverage, duplication. currentness. accuracy, consistency completeness. The study verified comprehensively the quality of the KOLIS-NET DB through a quality evaluation model and analyzed the factors causing such inferior and substandard bibliographic records in the KOLIS-NET DB. Based on the results of the quality evaluation, the quality improvements of the KOLIS-NET DB was suggested.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.7
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• pp.739-745
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• 2014

In this paper, an evaluation of intelligent CCTV system is proposed with recording and implementation video and video DB. Videos for evaluation are recorded by dividing far, mid and near zone. Video DB has video recording information, detection area, and ground truth in XML format. A video annotation tool is proposed to make ground truth effectively in this paper. A video annotation tool writes ground truths of videos and includes evaluation comparing system alarms with ground truths.

• Journal of the Korean Society for Library and Information Science
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• v.36 no.1
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• pp.61-90
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• 2002

This study intends to evaluate the quality of the KERIS UNICAT DB, and to suggest both theoretical and practical methods for the quality improvement of the DB. To the end. this study developed a quality evaluation model and verified the quality of the UNICAT DB in a comprehensive way, Emphasis was on analyzing the factors causing such inferior and substandard bibliographic records in the UNICAT DB. Also suggested are the management strategies and substantial guidelines to improve the quality of the UNICAT DB.

• Journal of the Korean Society for information Management
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• v.20 no.1
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• pp.401-416
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• 2003

This study examined weight techniques for applying to DB evaluation This study, then analyzed DB evaluation criteria in terms of category, content, and business model. Finally, it showed the use example of AHP technique to rank the important evaluation factors. These results will be used to evaluate factors which we significant in determining how well the given DB is appropriate in your environment.

• Journal of Information Management
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• v.36 no.3
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• pp.127-165
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• 2005

This study is focused on the quality of the Web databases which has been produced in science. For the quality evaluation of NDSL, PubMed, Scopus, and WoS, 10 evaluating criteria are developed on the basis of literature review. The evaluation results show that NDSL and PubMed are superior in the currentness and cost. Scopus and WoS are superior in the information of citing and the analysis tool. It is needed for purchasing, user training, and library service based on the above evaluation results.

• Journal of Information Technology and Architecture
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• v.11 no.2
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• pp.225-233
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• 2014

In this paper an architecture for 3D audio core algorithm evaluation database system. Due to increase of 3D audio system through multimedia device, an evaluation system is required for evaluating the 3D core algorithms for developing 3D audio system. Conventional evaluation systems have some problems. Researchers have to learn usage of evaluation system, in addition it is inefficient to use and search audio sources because audio sources are not indexed in general. To solve these problems, we design the architecture of 3D audio core algorithm evaluation database system enabling to automatically evaluate core algorithms using database management system. Also we define XML metadata scheme for information of saved audio source in database. This approach allows improving efficiency of search audio source and use of audio database.

• Proceedings of the Korean Geotechical Society Conference
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• 1997.10a
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• pp.245-252
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• 1997

• Proceedings of the Acoustical Society of Korea Conference
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• 1998.08a
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• pp.56-59
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• 1998

POW 3848 DB 및 SNR 이 크게 다른 2 종류의 PC168 DB를 대상으로 가변어휘 음성인식 시스템을 이용하여 훈련 및 성능 평가 실험을 수행한 내용에 대해서 기술하고 있다. 실험의 목적은 위의 3종류의 DB를 조합하여 얻은 DB 환경하에서 인식기를 훈련시키면서, DB 의 조합 및 훈련방법에 따른 인식기의 성능과의 상관관계를 도출하고자 하였다. DB 의 조합은 POW DB 와 SNR 이 높은 PC DB , 및 3종류의 DB 모두로 구성하였다. 인식기는 40개의 음소로 구성된 문맥 독립형 SCHMM 모델이며, 각 음소당 3개의 상태로 이루어져 있다. 실험 결과, 대부분의 경우에서 ITERATION이 1.0인 경우에 최고 인식률을 나타내고 있으며, INTERATION 이 3.0 이상인 경우에는 항상 CASE 3의 실험방법이 우세한 결과를 나타내었다. 또한 CASE 1으로 훈련한 경우가 CASE 2 보다는 각각의 실험 DB 에 대해서 대체적으로 좋은 결과를 보였다.