• Proceedings of the Korea Information Processing Society Conference
• /
• 2001.10a
• /
• pp.93-96
• /
• 2001

객체지향 데이터베이스 보안모델은 객체지향 패러다임의 각 속성에 대한 보안정책을 정의한다. 객체지향 데이터베이스의 보안 목적은 데이터베이스에 대한 권한이 없는 사용자의 접근을 제어함으로써 정보의 고의적인 파괴나 변경을 방지하고, 우발적인 사고로부터 데이터를 보호하는 것이다. 일반적인 데이터베이스 보안모델은 임의접근제어(DAC)나 강제접근제어(MAC)를 이용하여 보안문제를 해결하였지만, 이 논물에서는 역할기반 접근제어를 객체지향 데이터베이스에 적용해서 보안문제를 해결한다. 따라서, 기존의 객체지향 데이터베이스의 보안속성과 보안정책에 기반한 주체, 객체, 접근모드들을 정의하였고, 개념적인 클래스를 설계해서 객체지향 데이터베이스의 보안모델을 제시하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2003.11c
• /
• pp.1489-1492
• /
• 2003

고고학자들은 발굴 후 발굴과정에서 기록된 사진, 그림, 구덩에 대한 데이터를 분석하는 것에 기초하여 연구한다. 각 데이터들은 연구자들의 연구 분야별로 석기, 식생, 지질, 유적지 및 지구 등으로 나뉘어져 있으며 한 유적지의 자료들을 각각 별도의 파일로 저장하고 있다. 따라서 현재 연구자들이 이러한 자료들을 연구에 활용한 수 있는 통합적 환경을 제공하지 못할 뿐만 아니라, 기존의 유적 및 유물들에 대한 체계적인 관리, 자료 상호간의 연관성 문제 등이 대두되고 있다. 따라서 이 논문에서는 중원지역의 구석기 유적지, 유물 및 지질 자료들을 하나의 데이터베이스로 저장하기 위한 모델링을 수행하였다. 이로 인해 기존의 개별적인 자료들을 하나의 자원으로 체계적 관리가 가능할 뿐만 아니라 각 자료들간의 상호 연관성 파악을 위한 기반을 마련한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2011.11a
• /
• pp.1115-1118
• /
• 2011

단백질 사이의 상호작용 네트워크(PPI network: Protein-Protein Interaction network)를 이용하여 단백질 기능을 예측 하는 것은 단백질 기능 예측 기법들 중에서 중요한 작용을 한다. 하지만 PPI를 이용한 단백질 기능 예측은 기능의 복잡도와 다양성으로 인해 제한적인 결과를 나타내 왔다. 따라서 본 논문에서는 기존의 연구들 보다 높은 정확도로 단백질 기능을 예측하기 위해 기능 예측을 하려는 단백질과 상호작용 하는 단백질들에 그래프 마이닝 기법을 적용하여 빈발 2-노드 상호작용 패턴을 찾고, 그 패턴을 이용하여 단백질 기능을 예측하는 접근법을 제안하였다. 실험데이터로 DIP(Database of Interacting Proteins)에서 제공하는 단백질 상호작용 데이터를 사용하였으며, 다른 기존의 단백질 기능 예측 기법들보다 높은 정확도를 보여주었다.

• Proceedings of the KSRS Conference
• /
• 2005.10a
• /
• pp.72-75
• /
• 2005

Uncertainty of objects in Moving Object Database is a coherent property. It has been discussed in a lot of researches on modelling and query processing. The previous studies assume that uncertain future time is determined through utilizing recent speed and direction of vehicles. This method is simple and useful for estimating the time of the near future location. However, it is not appropriate when we estimate the time of the far future location. Therefore, in this paper, we propose a concept of planned route. It is used to estimate uncertain future time, which has to be located at a given point. If the route of an object is planned beforehand its locations are uncertainly distributed near that route. By a simple projection operation, the probability that a location lies in the planned route is increased. Moreover, we identify the future time of an object based on the speed for passing the route, which is offered via a website.

• Nutritional Sciences
• /
• v.7 no.1
• /
• pp.47-52
• /
• 2004

The food composition database is used to evaluate the nutritional value of foods in Korea. It is used as a source for basic data in many fields, not only for the establishment of the National Food Supply Plan but also for nutritional research, to aid in the drafting of the National Food Policy, and in clinical and epidemiological research. The database is also used by institutional and commercial food services and by the food processing industry among others. In 1970, the Rural Development Administration(RDA) published the "Korean Food Composition Table" for the first time and it has since become the established authority on food composition for the entire nation. The latest published food composition table (the 6th edition, published by the National Rural Living Science Institute, KDA) covers 2,337 kinds of foods and consists of two volumes. The National Rural Living Science Institute, the Korea Food and Drug Administration, and the National Fisheries Research and Development Institute have continuously improved production of food composition data in Korea. As consumers have grown more interested in the quality and safety of foods and raw agricultural products, we can expect even further development of food composition data through improvements in quality and increases in quantity. We need to develop more comprehensive food composition data by diversifying the kinds of foods that are included, unifying analytical methods, and increasing the number of nutrients covered. Moreover, food composition data must be modified in other ways to make for a better food composition database for the convenience of users. of users.

• Asian-Australasian Journal of Animal Sciences
• /
• v.27 no.10
• /
• pp.1394-1398
• /
• 2014

Indigenous (native) breeds of livestock have higher disease resistance and adaptation to the environment due to high genetic diversity. Even though their extinction rate is accelerated due to the increase of commercial breeds, natural disaster, and civil war, there is a lack of well-established databases for the native breeds. Thus, we constructed the native pig and chicken breed database (NPCDB) which integrates available information on the breeds from around the world. It is a nonprofit public database aimed to provide information on the genetic resources of indigenous pig and chicken breeds for their conservation. The NPCDB (http://npcdb.snu.ac.kr/) provides the phenotypic information and population size of each breed as well as its specific habitat. In addition, it provides information on the distribution of genetic resources across the country. The database will contribute to understanding of the breed's characteristics such as disease resistance and adaptation to environmental changes as well as the conservation of indigenous genetic resources.

• Proceedings of the Korea Society for Industrial Systems Conference
• /
• 2007.02a
• /
• pp.163-167
• /
• 2007

We propose an XML document storage system, called XDMS (XML Document Management System), by using an object-relational DBMS. XDMS generates object database schema from XML Schema and stores the XML documents in an object-relational database. SAX parser is used for understanding the structure of the XML documents, and XDMS transforms the documents into objects in the database. Experiment shows that object-relational databases provide more efficient storage and query model compared with relational databases.

• Journal of Korean Society of Rural Planning
• /
• v.22 no.4
• /
• pp.71-80
• /
• 2016

Meanwhile, reference evapotranspiration(ET0) is important information for agricultural management including irrigation planning and drought assessment, the database of reference evapotranspiration for future periods was rarely constructed especially at districts unit over the country. The Coupled Model Intercomparison Project Phase 5 (CMIP5) provides several meteorological data such as precipitation, average temperature, humidity, wind speed, and radiation for long-term future period at daily time-scale. This study aimed to build a database for reference evapotranspiration using the climate forecasts at high resolution (the outputs of HadGEM3-RA provided by Korea Meteorological Administration (KMA)). To estimate reference evapotranspiration, we implemented four different models such as FAO Modified Penman, FAO Penman-Monteith, FAO Blaney-Criddle, and Thornthwaite. The suggested database system has an open architecture so that user could add other models into the database. The database contains 5,050 regions' data for each four models and four Representative Concentration Pathways (RCP) climate change scenarios. The developed database system provides selecting features by which the database users could extract specific region and period data.

• Journal of Information Processing Systems
• /
• v.6 no.2
• /
• pp.163-176
• /
• 2010

Nowadays due to the rapid advances in the field of information systems, transactional databases are being updated regularly and/or periodically. The knowledge discovered from these databases has to be maintained, and an incremental updating technique needs to be developed for maintaining the discovered association rules from these databases. The concept of Temporal Association Rules has been introduced to solve the problem of handling time series by including time expressions into association rules. In this paper we introduce a novel algorithm for Incremental Mining of General Temporal Association Rules (IMTAR) using an extended TFP-tree. The main benefits introduced by our algorithm are that it offers significant advantages in terms of storage and running time and it can handle the problem of mining general temporal association rules in incremental databases by building TFP-trees incrementally. It can be utilized and applied to real life application domains. We demonstrate our algorithm and its advantages in this paper.

• Asian-Australasian Journal of Animal Sciences
• /
• v.27 no.9
• /
• pp.1236-1243
• /
• 2014

Genetics is important for breeding and selection of horses but there is a lack of well-established horse-related browsers or databases. In order to better understand horses, more variants and other integrated information are needed. Thus, we construct a horse genomic variants database including expression and other information. Horse Single Nucleotide Polymorphism and Expression Database (HSDB) (http://snugenome2.snu.ac.kr/HSDB) provides the number of unexplored genomic variants still remaining to be identified in the horse genome including rare variants by using population genome sequences of eighteen horses and RNA-seq of four horses. The identified single nucleotide polymorphisms (SNPs) were confirmed by comparing them with SNP chip data and variants of RNA-seq, which showed a concordance level of 99.02% and 96.6%, respectively. Moreover, the database provides the genomic variants with their corresponding transcriptional profiles from the same individuals to help understand the functional aspects of these variants. The database will contribute to genetic improvement and breeding strategies of Thoroughbreds.