• Digital Contents
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• no.12 s.55
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• pp.16-19
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• 1997

• Digital Contents
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• no.12 s.7
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• pp.6-17
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• 1993

• Digital Contents
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• no.12 s.7
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• pp.56-60
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• 1993

• Journal of Life Science
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• v.16 no.3 s.76
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• pp.472-476
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• 2006

We have built a database server called HorseDB which contains the genome annotation information and biological information for horse from public database entries. The aims of HorseDB are the integration of biological information and horse genome data on genome scale using bioinformatic methods. To facilitate the extraction of useful information among collected horse genome and biological data, we developed a user-friendly interface system, HorseDB; an Integrated Horse Resource and web Service. The database is categorized by the general horse information data, a sequence annotation data, and a world-wide web analysis program interface. The database also provides an easy access for user to find out the useful information within horse genomes and support analyzed information, such as sequence alignment and gene annotation results. HorseDB can be accessed at http://www.primate.or.kr./horse.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2629-2636
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• 2015

Recently Big Data management have a rapid increases interest in IT field, much research conducting to solve a problem of real-time processing to Big Data. Lots of resources are required for the ability to store data in real-time over the network but there is the problem of introducing an analyzing system due to aspect of high cost. Need of redesign of the system for low cost and high efficiency had been increasing to solve the problem. In this paper, the document type of database, MongoDB, is used for design a log management system based a document type of database, that is good at big data managing. The suggested log management system is more efficient than other method on log collection and processing, and it is strong on data forgery through the performance evaluation.

• Journal of Platform Technology
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• v.11 no.5
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• pp.49-58
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• 2023

Factory energy management system is rapidly growing and evolving due to factors such as the 3rd Basic Energy Plan and global energy cost increases, as well as environmental issues. However, implementing an essential data collection system for energy management in factory settings, which have limited space and unique characteristics, presents spatial, environmental, and energy-related challenges. This paper endeavors to mitigate these challenges by devising a data collection system implemented through an edge-based lightweight platform. A comparison and evaluation of database operation on edge devices are conducted. To conduct the evaluation, a benchmarking tool called CDI Benchmark is developed, utilizing the characteristics of existing factories involved in practical applications. The evaluation results revealed that RDBMS systems like MySQL encountered errors in the database due to high data insertion loads, making them inoperable. On the other hand, InfluxDB, thanks to its highly efficient compression algorithm, demonstrated compression rates about 6 times higher than MyRocks according to the evaluation. However, it was observed that MyRocks outperformed InfluxDB by a significant margin, recording a maximum processing time approximately 80 times faster compared to InfluxDB.

• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.212-216
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• 2007

본 연구의 목적은 도시 지역에서 지진 발생시 중요한 대피로 역할을 하는 도로의 위험평가요소를 분석하고 데이터베이스(Database, DB)를 구축하는데 있다. 현재 우리나라는 도로의 체계적인 유지관리를 위해 도로관리통합시스템이 개발되어 있으나, 이는 도로대장전산화, 포장관리시스템, 교랑관리시스템, 도로절개면유지관리시스템 등에 한정되어 있다. 다시 말해서 재난 시 사람들이 신변의 안전을 확보할 수 있는 대피나 구급을 위한 통로로써의 도로에 대한 이해가 부족한 실정이다. 따라서 본 연구에서는 선행연구의 분석을 토대로 방재관점의 도로관리를 위한 항목들을 자연환경, 시회환경, 도로 및 시설물, 유발요인 등으로 제안하고, 서울대학교 부근을 대상지역으로 하여 이들 요인을 DB화하였다. 이는 도로와 주변 환경 등을 동시에 고려하여 재난 발생 시 대피와 구조 활동을 위한 방재계획은 물론, 지역별 위험도평가 및 재해위험도작성에 기초 자료로 이용될 것으로 기대된다. 그러나 본 연구에서는 기구축된 GIS 자료가 아닌 현장 조사를 바탕으로 구축된 DB로, 방재관점의 통합된 DB의 필요성을 제시하는데 그 의미가 있을 것이다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.187-190
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• 2005

There have been many studies to improve the performance of a database system focused on modifying data structure, data partitioning, and materializing strategy. The main contribution of this study is to propose a new alternative towards improving database performance by designing single table schema or processing queries virtually in main memory space. Material Requirement Planning(MRP) part explosion process has shown almost 2 times shorter under DB schema we suggested, and even more than 10 times shorter when separating and filtering policy of DB archiving process are assumed. Several experimental results are shown to illustrate the excellence of our solution.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.11a
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• pp.154-155
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• 2014

본 논문에서는 TV 시청환경에서의 실내소음의 스트레스 평가를 위한 소음 데이터베이스(database, DB) 설계 방법을 제안한다. 제안된 DB 는 TV 시청공간을 포함하는 실제 주거환경 내에서 binaural recording을 위한 1 개의 dummy head 와 multi-channel recording 을 위한 2 개의 다채널 마이크 배열을 활용하여 TV 콘텐츠 및 실내소음의 음향 정보를 취득한다. 설계된 DB는 TV 시청자의 청각정보에 해당하는 binaural recording 신호와 실내소음의 위치 및 종류 추정을 위한 multi-channel recording 신호를 모두 포함하기 때문에 TV 시청환경에서 실내소음이 시청자에게 유발하는 스트레스의 분석 및 평가 관련 연구에 적합하게 설계되었다. 본 DB 는 5 가지 종류의 TV 콘텐츠 10 시간 분량, 30 가지 종류의 실내소음 2 시간 분량으로 구성되었다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.957-959
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• 2013

A SNS(Social Networking Service) is an online platform to build social networks or social relations among people who, for example, share free communication, information, and make more personal connections. In this paper, we find representative entities, develop relationships among them, and draw an ERD based on the entities and their relationships. And then we design a SNS database schema by converting the ERD into collections according to data model of MongoDB, which is an NoSQL database.