• 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.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.537-540
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• 2003

The importance of LCC analysis has been enlarged. Also, it would be necessary to computerize LCC analysis for accurate and logical analysis of LCC. In other papers, they showed LCC analysis model but the study of database development which could be applied in LCC analysis have been undeveloped. As a result, the final goal of this study is to develope LCC database. And this progress is devided 4 steps as design, construction, maintenance and disposal and derived the detailed cost item in the progresses. Futhermore, it would be possible to develope cost DB, fluent DB, general DB, building section DB, material DB and to propose database which would be applied in accurate and logical analysis of LCC.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.9 no.1
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• pp.39-52
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• 1998

The purpose of this study is to design the solution for creating full-text database of Korean dissertaion, After considering file formats for text based and image based database, Viewer, Search, Copy Right, Abstracts and Indexes, situation of Korea University Library, decided the principles of creating database. And suggested the design to produce the database for Korea University Library, that is easy to get file format conversion in case of the introducing new technology for the future.

• Digital Contents
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• no.7 s.14
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• pp.53-59
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• 1994

본 조사는 6월 15일에 있었던 'DB 산업 활성화를 위한 세미나'(한국데이터베이스진흥센터주최)에서 참가자들을 대상으로 하여 실시한 것으로 DATABASE의 올바른 한글표기 정착 및 국내 DB의 이용과 정보 수요에 관한 결과 분석을 통하여 국내 데이터베이스 산업의 문제점과 개선방향을 도출하며 국가DB산업 정책에 반영하기 위하여 실시하였다. 설문서는 350부 배포하여 76부 수거(약23%) 되었다.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.2
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• pp.59-66
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• 2017

MySQL database is the second place in the market share of the current database. Especially InnoDB storage engine has been used in the default storage engine from the version of MySQL5.5. And many companies are using the MySQL database with InnoDB storage engine. Study on the structural features and the log of the InnoDB storage engine in the field of digital forensics has been steadily underway, but for how to restore on a record-by-record basis for the deleted data, has not been studied. In the process of digital forensic investigation, database administrators damaged evidence for the purpose of destruction of evidence. For this reason, it is important in the process of forensic investigation to recover deleted record in database. In this paper, We proposed the method of recovering deleted data on a record-by-record in database by analyzing the structure of MySQL InnoDB storage engine. And we prove this method by tools. This method can be prevented by database anti forensic, and used to recover deleted data when incident which is related with MySQL InnoDB database is occurred.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.2
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• pp.5-34
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• 2018

In this research, we intended to discover all types of information related to international research cooperation, collect information by each type, and build a database. To this end, we initially developed metadata, discussed with metadata experts to develop metadata in the primary phase, and conducted a survey on the experts related to international research cooperation. Furthermore, we collected and entered data in the meta field for each type of information source, and verified the meta field through processes such as the existence of actual data for each meta field, among others. The types of database designed in this research are the international research cooperation information source database, international research cooperation project database, international research cooperation expert database, international research cooperation institution database, international organization database, and other database, and as a result of validating of the field by entering the data by conducting the survey, the survey results and the data entry rate by field demonstrated such a high rate of consistency. However, only the international organization data field was confirmed to have approximately 25% of the field having the data entry rate of less than 10% despite the high rate of significance rated by the users.

• Genomics & Informatics
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• v.3 no.3
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• pp.80-85
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• 2005

HExDB is a database for analyzing exon and splicing pattern information in Homo sapiens. HExDB is useful for specific purposes: 1) to design primers for exon amplification from cDNA and 2) to understand the change of ORFs by alternative splicing. HExDB was constructed by integrating data from AltExtron which is the computationally predicted exon database, Ensemble cDNA annotation, and Affymetrix genome tile published recently. Although it may contain false positive data, HExDB is good starting point due to its sensitivity. At present, there areas many as 2,046,519 exons stored in the HExDB. We found that $16.8\%$ of the exons in the database was constitutive exons and $83.1\%$ were novel gene exons.

• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.143-152
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• 2014

This paper introduces Database security to prevent the rapidly increasing issue of private information leakage. The Database security examined in the paper separates into DB access control area and DB encryption area which further leads the paper to analyze the factors of the two areas and suggest necessary elements for creating stable Database security. In addition, the paper examines previous DB security programs by areas and analyzes pros and cons from the tested result. The experiment indicated that while DB access control presents less degradation and reduced the need to modify the existing DBMS since the access control operates at the end point of the network, DB encryption presented strength in protecting the data from unauthorized access. On the other hand, DB access control is less useful in preventing the attack in advance which leaves the log to enable tracking afterward while DB encryption can only be operated by limited types of Database and causes degradation due to system load and shows higher percentage of failure when creating the system. This paper examines characteristics of Database security areas in order to be used as a reference for institutions or companies seeking stable Database security.

• Digital Contents
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• no.3 s.58
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• pp.56-62
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• 1998

수많은 데이터베이스 중에서 가장 유용하게 사용되고 있는 100개의 DB를 주제별로 선정하여 설명하고 이글에서 소개되는 DB들을 잘 활용하여 각 분야의 정보원을 나름대로 정리하는데 도움을 주고자 한다. 물론 정보 검색의 경험이 많은 전문 정보 검색사들에게는 나름대로 익숙한 DB들이 많을 수 있으나 특정 주제 분야별로 중요하게 다뤄지는 DB들을 정리해 그 차이를 살펴볼 기회가 될 수 있기를 바란다.

• Journal of the Korean Society for information Management
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• v.27 no.1
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• pp.25-40
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• 2010

The purpose of this study is to analyze the usage pattern between each academic database through social network analysis, and to support the academic database for users's needs. For this purpose, we have extracted log data to construct the academic database networks in the proxy server of K university library and have analyzed the usage pattern among each research area and among each social position. Our results indicate that the specialized academic database for the research area has more cohesion than the generalized academic database in the full-time professors' network and the doctoral students' network, and the density, degree centrality and degree centralization of the full-time professors' network and the doctoral students' network are higher than those of the other social position networks.