• Journal of Nutrition and Health
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• v.50 no.5
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• pp.504-518
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• 2017

Purpose: The objective of this study was to develop a processed foods database (DB) for estimation of processed food intake in the Korean population using data from the Korea National Health and Nutrition Survey (KNHANES). Methods: Analytical values of processed foods were collected from food composition tables of national institutions (Development Institute, Rural Development Administration), the US Department of Agriculture, and previously reported scientific journals. Missing or unavailable values were substituted, calculated, or imputed. The nutrient data covered 14 nutrients, including energy, protein, carbohydrates, fat, calcium, phosphorus, iron, sodium, potassium, vitamin A, thiamin, riboflavin, niacin, and vitamin C. The processed food DB covered a total of 4,858 food items used in the KNHANES. Each analytical value per food item was selected systematically based on the priority criteria of data sources. Results: Level 0 DB was developed based on a list of 8,785 registered processed foods with recipes of ready-to-eat processed foods, one food composition table published by the national institution, and nutrition facts obtained directly from manufacturers or indirectly via web search. Level 1 DB included information of 14 nutrients, and missing or unavailable values were substituted, calculated, or imputed at level 2. Level 3 DB evaluated the newly constructed nutrient DB for processed foods using the 2013 KNHANES. Mean intakes of total food and processed food were 1,551.4 g (males 1,761.8 g, females 1,340.8 g) and 129.4 g (males 169.9 g, females 88.8 g), respectively. Processed foods contributed to nutrient intakes from 5.0% (fiber) to 12.3% (protein) in the Korean population. Conclusion: The newly developed nutrient DB for processed foods contributes to accurate estimation of nutrient intakes in the Korean population. Consistent and regular update and quality control of the DB is needed to obtain accurate estimation of usual intakes using data from the KNHANES.

• Proceedings of the Korea Database Society Conference
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• 1994.09a
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• pp.255-287
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• 1994

산업재산권 정보는 각국의 특허청에서 발행되는 공개공보와 공고공보에 수록되어 있다. 산업기술정보원은 특허청과 긴밀한 협조하에 산업재산권정보 전량을 입수하여 데이터베이스화하여 산업기술정보유통망(KINITI-IR)을 통하여 일반 이용자에게 서비스하고 있다. 산업재산권 DB제작은 1986년부터 시작되었으며 그 당시 한국 공고특허 DB가 처음으로 제작되었다. 지금은 한국공고특허ㆍ실용신안, 한국공개특허ㆍ실용신안, 의장 등 산업재산권 정보전반에 걸친 DB제작 활동이 수행되고 있다. 우리나라의 산업재산권 정보 발생량은 <표 1>과 같다.

• Digital Contents
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• no.8 s.3
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• pp.22-27
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• 1993

"94년으로 예정된 정보통신시장 개방이 1년도 채 남지 않은 상황에서 정보산업의 근간으로 양적ㆍ질적인 면에서 급성장하고 있는 데이터베이스산업의 법적 보호를 위한 첫 시발점으로 문화체육부에서 지난 6월 22일 DB를 저작권법으로 보호하고자 하는 '저작권법 개정안'을 입법예고하여 관련업계에 관심을 집중시킨 바 있다. 올 9월 정기국회에 상장되어 내년중 시행될 '저작권법 개정안'에서 DB의 자산권화와 이의 보호를 위해 제고되어야 할 입법의 방향과 내용에 대해 관련 전문가의 의견을 들어본다."

• Proceedings of the Korea Database Society Conference
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• 1995.12a
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• pp.3-19
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• 1995

시스템 Technology ★ Server Technology - 운영환경구축 ★ Network 구성설계 - ATM, FDDI, NMS ★ Client/Server시스템 구성별 Bench Marking ★ Windows 메뉴 및 GUI 설계 ★다기능 PC 운영환경 설정 시스템 Technology ★ Data Base Technology - DB Administration - BB Performance Tuning ★ System Integration Technology - Application Integration - System Flow Control - Task Control - Applicational Interface - S/W Down Load 시스템 Technology ★ Memory Optimization ★ IBM/Facom Host API ★ 영상전화 Customizing - Intel Proshare ★ Auto Dialing - CTI Link ★ IC-Card Interface 시스템 Technology ★ Sound 처리 - Voice Mail - 음절 처리 ★ Image 처리 ★도움말 처리 - Hyper Text 시스템 Technology ★ Socket Programming - 긴급메일 - Peer to peer message switching ★ Set Up Programming -Install Shield ★ DB Access Programming - DB-Library ★ TCP/IP Programming(중략)

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.76-78
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• 2005

본 교통사고 동영상 DB 설계의 연구 목적은 교통사고 자동기록장치에서 수집되는 교통사고 동영상 자료를 효율적으로 활용하기 위한 교통사고 동영상 DB 구축 방안에 관한 연구이며, 이를 위해 ISO/IEC 11179 표준인 MDR을 이용한 교통사고 동영상 DB 논리 모델을 제안하는 데 있다. 본 논문에서 제안하는 DB구조를 통해 실시간 대용량 교통사고 동영상 데이터에 대한 데이터의 생성, 관리 및 검색 성능을 향상시킬 수 있을 뿐만 아니라, MDR 표준 개념 적용으로 상호 이질적인 DB 간의 상호운용성(interoperability)이 증대된다.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.15 no.5
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• pp.37-43
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• 2006

The target of this study is development of web based mold discrimination system by matching vision information with CAD database. The use of 2D vision image makes possible speedy mold discrimination from many databases. The image processing such as preprocessing, cleaning is done for obtaining vivid image with object information. The web-based system is a program which runs to exchange messages between a server and a client by making of ActiveX control and the result of mold discrimination is shown on web-browser. For effective feature classification and extraction, signature method is used to make sensible information from 2D data. As a result, the possibility of proposed system is shown as matching feature information from vision image with CAD database samples.

• Journal of the Korea institute for structural maintenance and inspection
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• v.4 no.4
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• pp.129-140
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• 2000

Retaining wall is a constructed structure in order to construct road, rail, building for effective use and obtainments of the limited ground. Recently, many kinds of research have been actively developed for a standardization and information to the maintenance and management of bridge, tunnel, road. With the works of database construction of that, many kinds of data with respect to statistics is cumulated. Database work of retaining wall is wholly lacking and lagged behind in the works of database construction. This paper suggests classification system on inspection data. On the basis of that, code work with classification system was practised and DB program of inspection data of retaining wall was developed. And input work for a data of maintenance and management was practised. The purpose of this paper is to suggest a kind of statistics data and investigate a characteristics of inspection using statistic data on retaining wall.

• The Journal of the Korea Contents Association
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• v.16 no.9
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• pp.267-275
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• 2016

Species are constantly using for clothing, food, shelter and health are distributed in various places. Convention on Biological Diversity made for conserve resources and enhance the value in many countries around the world. Each country is in the process of building a database for to protect the native biological resources and establish sovereignty. This studies analyzed the distribution of such traditional knowledge of native biological resources and builded a database through using standardized form of collected data made by our research. The result, almost native biological resources used for food and medical treatment.

• Fire Science and Engineering
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• v.21 no.2 s.66
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• pp.42-47
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• 2007

This paper presents the development of a case-based system for an electrical fire cause diagnosis system using the entity relation database. The relation database which provides a very simple but powerful way of representing data is widely used. The system focused on database construction and cause diagnosis can diagnose the causes of electrical fires easily and efficiently. In order to store and access to the information concerned with electrical fires, the key index items which identify electrical fires uniquely are derived out. The case-based system consists of a case which contains information from the past fires. The case-based system could present the cause of a newly occurred fire to be diagnosed by searching the case-based database for reasonable matching. The case-based system has not only searching functions with multiple attributes by using the collected various information(such as fire evidence, structure, and weather of a fire scene) but also more improved diagnosis functions which can be easily used for the electrical fire cause diagnosis system.

• BMB Reports
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• v.46 no.8
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• pp.416-421
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• 2013

Genome-wide association studies (GWAS) have become popular as an approach for the identification of large numbers of phenotype-associated variants. However, differences in genetic architecture and environmental factors mean that the effect of variants can vary across populations. Understanding population genetic diversity is valuable for the investigation of possible population specific and independent effects of variants. EvoSNP-DB aims to provide information regarding genetic diversity among East Asian populations, including Chinese, Japanese, and Korean. Non-redundant SNPs (1.6 million) were genotyped in 54 Korean trios (162 samples) and were compared with 4 million SNPs from HapMap phase II populations. EvoSNP-DB provides two user interfaces for data query and visualization, and integrates scores of genetic diversity (Fst and VarLD) at the level of SNPs, genes, and chromosome regions. EvoSNP-DB is a web-based application that allows users to navigate and visualize measurements of population genetic differences in an interactive manner, and is available online at [http://biomi.cdc.go.kr/EvoSNP/].