• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.24 no.1
• /
• pp.123-134
• /
• 2014

As the data gets bigger recently, the demand for relational database management system (RDBMS) and NoSQL DBMS to process big data has been increased consistently. The digital forensic investigation method for RDBMS has been studied actively, but that for NoSQL DBMS, which is popularly used nowadays, has almost no research. This paper proposes the digital forensic investigation process and method for MongoDB, the most popularly used among NoSQL DBMS.

• Journal of the military operations research society of Korea
• /
• v.34 no.1
• /
• pp.13-30
• /
• 2008

In this study, the establishment strategies of Military Standardization Information System and Integrated Database(DB) based on standardization information are provided. The establishment strategies introduced here are based on the appliable common(commercial and military) classification of specifications/standards. The common(commercial and military) classification of specifications/standards adapted in this study can be constructed through mapping by 'grouping' between the MS(Military Specification/Standards) and KS(Korean industry Standards) to increase efficiency. In detail, the establishment of Integrated Database(DB) based on standardization information provides the various channel of interactive communication among specifications/standards. Additionally, standardization information systems provide the basis of the integrated specifications/standards converged between the commercial and military sector.

• Genomics & Informatics
• /
• v.7 no.4
• /
• pp.212-216
• /
• 2009

WebChemDB is an integrated chemical database retrieval system that provides access to over 8 million publicly available chemical structures, including related information on their biological activities and direct links to other public chemical resources, such as PubChem, ChEBI, and DrugBank. The data are publicly available over the web, using two-dimensional (2D) and three-dimensional (3D) structure retrieval systems with various filters and molecular descriptors. The web services API also provides researchers with functionalities to programmatically manipulate, search, and analyze the data.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.10 no.4
• /
• pp.142-152
• /
• 2007

Geotechnical information database, foundation of underground geographic information system in 2nd NGIS plan, had been developing by Ministry of Construction and Transportation since 2000. This database contains not only soil condition, such as depth, type and color of layer, and ground water level, but also engineering properties used for foundation design and construction, for instance, standard penetration test, compression test. But, it is difficult to apply this database for analyzing and designing geotechnical works, because report document is only offered. In this paper, we have developed web-based geospatial information system for the effective uses. First, underground cross-section model is generated by location, layer, and engineering properties of geotechnical information database at the realtime process. Second, earth volume, bearing capacity, and settlement is calculated and potentials of soft ground, liquefaction are evaluated through pre-defined empirical formula. This process is operated by web-based client. We wish to strengthen the application capacity through this system in construction planning and design works.

• MALSORI
• /
• no.47
• /
• pp.51-72
• /
• 2003

The purpose of this paper is to design Speech Database for Korean pronunciation education. For this purpose, I investigated types of speech errors of Korean-learners, made texts for recording, which involves all types of speech errors, and showed how to gather speech data and how to tag their informations. It's natural that speech data should include Korean-learners' speech and Korean people's speech, because Speech DB that I try to develop is for teaching Korean pronunciation to foreigners. So this DB should have informations about speakers and phonetic informations, which are about phonetic value of segments and intonation of sentences. The intonation of sentence varies with the type of sentence, the structure of prosodic units, the length of a prosodic unit and so on. For this reason, Speech DB must involve tags about these informations.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.10a
• /
• pp.805-808
• /
• 2014

The DBMS is a database management software system to access by people. It is an open source DBMS, such as MySQL and commercial services, such as ORACLE. Since MySQL has been acquired by Oracle, MariaDB released increase demand. NoSQL also are increasing, the trend is of interest, depending on the circumstances. Based on the same type of mass data, Depending on the performance comparison between the open source DBMS is required, and The study compared the performance between MariaDB and MongoDB. This paper proposes a DBMS for big data to process.

• Journal of the Economic Geographical Society of Korea
• /
• v.10 no.2
• /
• pp.167-181
• /
• 2007

The newly adopted Korea Geodetic Datum (a.k.a. KGD2002) calls for massive reengineering work on geospatial dataset. The main focus of our study is placed on the strategy and system implementations of the required data reengineering with a keen attention to integrated approaches to interoperability, standardization, and database utilization. Our reengineering strategy includes file-to-file, file-to-DB, DB-to-file, and DB-to-DB conversion for the coordinate transformation of KGD2002. In addition to the map formats of existing standards such as DXF and Shapefile, the newly recommended standards such as GML and SVG are also accommodated in our reengineering environment. These four types of standard format may be imported into and exported from spatial database via KGD2002 transformation component. The DB-to-DB conversion, in particular, includes not only intra-database conversion but also inter-database conversion between SDE/Oracle and Oracle Spatial. All these implementations were carried out in multiple computing environments: desktop and the Web. The feasibility test of our system shows that the coordinate differences between Bessel and GRS80 ellipsoid agree with the criteria presented in the existing researches.

• MALSORI
• /
• no.46
• /
• pp.145-157
• /
• 2003

In this paper, we'd like to briefly introduce Korean common speech database, which project has been started to construct a large scaled speech database since 2002. The project aims at supporting the R&D environment of the speech technology for industries. It encourages domestic speech industries and activates speech technology domestic market. In the first year, the resulting common speech database consists of 25 kinds of databases considering various recording conditions such as telephone, PC, VoIP etc. The speech database will be widely used for speech recognition, speech synthesis, and speaker identification. On the other hand, although the database was originally corrected by manual, still it retains unknown errors and human errors. So, in order to minimize the errors in the database, we tried to find the errors based on the recognition errors and classify several kinds of errors. To be more effective than typical recognition technique, we will develop the automatic error detection method. In the future, we will try to construct new databases reflecting the needs of companies and universities.

• MALSORI
• /
• no.47
• /
• pp.109-120
• /
• 2003

This paper presents about the activities of speech database standardization in ETRI. Recently, with the support of government, ETRI and SiTEC have been gathering the large speech corpus for the domestic speech related companies. First, due to the lack of sharing the knowledge of speech database specification, the distributed speech database has a different format. Hence it seems to be needed to have the same format as soon as possible. ETRI and SiTEC are trying to find the better representation format of speech database. Second, we introduce a new description method of the annotation information of speech database. As one of the structured description method, XML based description will be applied to represent the metadata of the speech database. It will be continuously revised through the speech technology standard forum during this year.

• Digital Contents
• /
• no.3 s.106
• /
• pp.30-37
• /
• 2002

데이터베이스(DB) 산업은 디지털콘텐츠 산업의 근간을 이루는 것으로서 그 중요성이 있다. 특히 디지털화 된 DB는 정보 사회의 경쟁력을 가늠하는 척도일 수도 있다. 우리나라는 디지털콘텐츠 산업이 매우 발전한 나라라고 할 수 있으나 그 근간인 DB산업은 도외시하는 경향이 있다. 이는 눈앞에 당장의 수익이 보장되지 않기 때문인데 수익성이 결여된다고 하더라도 반드시 필요한 DB는 국가적인 차원에서 육성할 필요가 있다. 산업의 장래성은 그 기초가 튼튼해야 지속적인 생명을 유지할 수 있는 법이다. 이에 현재 DB 산업의 현황을 살펴보고 미래의 전망을 살펴보고자 한다.