• Digital Contents
• /
• no.9 s.64
• /
• pp.38-40
• /
• 1998

국내 데이터베이스의 활용을 촉진하고 데이터베이스 업체의 개발의욕을 고취하기 위하여 한국데이터베이스진흥센터가 제정하고 정보통신부가 후원하는 데이터베이스 대상의 7월 우수 데이터베이스 수상작으로 넷인웹의 '세관 공매 정보'가 선정되었다.

• Digital Contents
• /
• no.11 s.66
• /
• pp.42-46
• /
• 1998

국내 데이터베이스의 활용을 촉진하고 데이터베이스 업체의 개발의욕을 고취하기 위하여 한국데이터베이스진흥센터가 제정하고 정보통신부가 후원하는 데이터베이스 대상의 9월 우수 데이터베이스 수상작으로 한국신용정보의 'NICE-TIPS'가 선정되었다.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.21 no.6
• /
• pp.563-569
• /
• 2008

In this paper, the missile database system for the multidisciplinary design and optimization framework has been designed and investigated. The requirements of the missiles database are analyzed and the database design concept has been defined first. The data flow among the analysis disciplines is investigated and the Entity-Relation diagram is constructed to develop the database table and to define the database schema. The developed database system is integrated into the missile design framework to perform the store, search and management of the design data during the design and analysis of the missile development, hence the efficiency and validity of the database designed in this study has been demonstrated.

• The KIPS Transactions:PartD
• /
• v.12D no.6 s.102
• /
• pp.837-848
• /
• 2005

A multi-scale database is a set of spatial database, covering same geographic area with different scales and it can be derived from pre-existing databases. In the derivation processes of a new multi-scale spatial database, the geometries and topological relations on the source database can be transformed and the transformation can be the cause of the lack of integrity Therefore, it is necessary to assess the transformation whether it is consistent or not after the derivation process of a new multi-scale database. Thus, we propose assessment methods for the topological consistency between a source database and a derived multi-scale database in this paper. In particular, we focus on the case that 2-dimensional objects are collapsed to 1-dimensional ones in the derivation process of a multi-scale database. We also describe implementation of the assessment methods and show the results of the implementation with experimental data.

• KIPS Transactions on Software and Data Engineering
• /
• v.9 no.4
• /
• pp.123-128
• /
• 2020

As the use of digital devices is becoming more commonplace, digital forensics techniques recover data to collect physical evidence during the investigation. Among them, the file forensics technique recovers deleted files, therefore, it can recover the database by recovering all files which compose the database itself. However, if the record is deleted from the database, the modified record contents will not be restored even if the file is recovered. For this reason, the database forensics technique is required to recover deleted records. Database forensics obtains metadata from database configuration files and recovers deleted records from data files. However, record recovery is difficult if database metadata such as block size cannot be obtained from the database. In this paper, we propose three methods for obtaining block size, which is database metadata. The first method uses the maximum size of free space in the block, and the second method uses the location where the block appears. The third method improves the second method to find the block size faster. The experimental results show that three methods can correctly find the block size of three DBMSes.

• Digital Contents
• /
• no.8 s.27
• /
• pp.140-152
• /
• 1995

지난호에 이어 국회도서관에 소장돼 있는 자료들 중 데이터베이스 자료(단행본, 연구논문)를 소개하고자 한다.

• Digital Contents
• /
• no.9 s.28
• /
• pp.131-141
• /
• 1995

지난호에 이어 국회도서관에 소장돼 있는 자료들 중 데이터베이스 자료(단행본, 연구논문)를 소개하고자 한다.

• Digital Contents
• /
• no.11 s.30
• /
• pp.148-153
• /
• 1995

지난호에 이어 국회도서관에 소장돼 있는 자료들 중 데이터베이스 자료(단행본, 연구논문)를 소개하고자 한다.

• Digital Contents
• /
• no.10 s.29
• /
• pp.160-165
• /
• 1995

지난호에 이어 국회도서관에 소장돼 있는 자료들 중 데이터베이스 자료(단행본, 연구논문)를 소개하고자 한다.

• Digital Contents
• /
• no.12 s.31
• /
• pp.132-137
• /
• 1995

지난호 국회도서관에 이어 이번호부터는 국립중앙도서관에 소장되어 있는 데이터베이스 관련 자료들을 모아 게재한다.