• Title/Summary/Keyword: DB Evaluation

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A Study on Real-time Quality Evaluation Method of Bibliographic Database (실시간 서지데이터베이스 평가방법에 관한 연구)

  • 노경란;권오진;유현종;문영호;홍성화
    • 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.

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A Study on Quality Evaluation of Medical Web DBs : PubMed and Embase (의학 분야 Web DB의 품질평가 -PubMed와 Embase를 대상으로-)

  • Kim, Sang-Jun
    • 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.

Quality Evaluation of a Shared Cataloging DB : the Case of KOLIS-NET (KOLIS-NET 종합목록 DB의 품질평가)

  • Kim, Sun-Ae;Lee, Soo-Sang
    • 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.

Development of Video Data-base and a Video Annotation Tool for Evaluation of Smart CCTV System (지능형CCTV시스템 성능평가를 위한 영상DB와 영상 주석도구 개발)

  • Park, Jang-Sik;Yi, Seung-Jai
    • 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.

Quality Evaluation and Management of a Shared Cataloging DB: the Case of KERIS UNICAT DB (공동목록 DB의 품질평가와 품질관리: KERIS의 종합목록 DB를 중심으로)

  • Lee, Jae-Whoan
    • 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.

A study on the use of AHP technique for applying to DB evaluation (데이터베이스 평가요소 중요도 평가를 위한 AHP기법 활용에 관한 연구)

  • 김성희
    • 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.

A Study on the Quality Evaluation of Scholarly Web Databases Focused on NDSL, PubMed, Scopus, and Web of Science (학술 웹 데이터베이스의 품질 비교 평가 : NDSL, P ubMed, Scopus와 Web of Science를 중심으로)

  • Kim, Sang-Jun
    • 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.

An Architecture for 3D Audio Core Algorithm Evaluation DB (3차원 입체 음향 핵심 알고리즘 평가를 위한 DB 설계)

  • Hwang, Jaemin;Kim, Jeonghyuk;Kang, Sanggil
    • 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.

Comparison and Evaluation of Data Collection System Database for Edge-Based Lightweight Platform (엣지 기반 경량화 플랫폼을 위한 데이터 수집 시스템의 데이터베이스 비교 및 평가)

  • Woojin Cho;Chae-young Lim;Jae-hoi Gu
    • Journal of Platform Technology
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    • v.11 no.5
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    • pp.49-58
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    • 2023
  • Factory energy management system is rapidly growing and evolving due to factors such as the 3rd Basic Energy Plan and global energy cost increases, as well as environmental issues. However, implementing an essential data collection system for energy management in factory settings, which have limited space and unique characteristics, presents spatial, environmental, and energy-related challenges. This paper endeavors to mitigate these challenges by devising a data collection system implemented through an edge-based lightweight platform. A comparison and evaluation of database operation on edge devices are conducted. To conduct the evaluation, a benchmarking tool called CDI Benchmark is developed, utilizing the characteristics of existing factories involved in practical applications. The evaluation results revealed that RDBMS systems like MySQL encountered errors in the database due to high data insertion loads, making them inoperable. On the other hand, InfluxDB, thanks to its highly efficient compression algorithm, demonstrated compression rates about 6 times higher than MyRocks according to the evaluation. However, it was observed that MyRocks outperformed InfluxDB by a significant margin, recording a maximum processing time approximately 80 times faster compared to InfluxDB.

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