• Genomics & Informatics
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• 제21권1호
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• pp.12.1-12.8
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• 2023

A wave of new technologies has created opportunities for the cost-effective generation of high-throughput profiles of biological systems, foreshadowing a "data-driven science" era. The large variety of data available from biological research is also a rich resource that can be used for innovative endeavors. However, we are facing considerable challenges in big data deposition, integration, and translation due to the complexity of biological data and its production at unprecedented exponential rates. To address these problems, in 2020, the Korean government officially announced a national strategy to collect and manage the biological data produced through national R&D fund allocations and provide the collected data to researchers. To this end, the Korea Bioinformation Center (KOBIC) developed a new biological data repository, the Korea BioData Station (K-BDS), for sharing data from individual researchers and research programs to create a data-driven biological study environment. The K-BDS is dedicated to providing free open access to a suite of featured data resources in support of worldwide activities in both academia and industry.

• Journal of Information Processing Systems
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• 제16권2호
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• pp.460-477
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• 2020

As one of the most significant challenges in the virtual data center, the virtual data center embedding has attracted extensive attention from researchers. The existing research works mainly focus on how to design algorithms to increase operating revenue. However, they ignore the energy consumption issue of the physical data center in virtual data center embedding. In this paper, we focus on studying the energy-aware virtual data center embedding problem. Specifically, we first propose an energy consumption model. It includes the energy consumption models of the virtual machine node and the virtual switch node, aiming to quantitatively measure the energy consumption in virtual data center embedding. Based on such a model, we propose two algorithms regarding virtual data center embedding: one is heuristic, and the other is based on particle swarm optimization. The second algorithm provides a better solution to virtual data center embedding by leveraging the evolution process of particle swarm optimization. Finally, experiment results show that our proposed algorithms can effectively save energy while guaranteeing the embedding success rate.

• 한국자기학회:학술대회 개요집
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• 한국자기학회 2007년도 The 1st International Symposium on Advanced Magnetic Materials
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• pp.179.2-179.2
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• 2007

• 디지털융복합연구
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• 제12권11호
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• pp.299-307
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• 2014

N데이터센터는 정부부처를 대상으로 클라우드 컴퓨팅 서비스를 제공하는 '클라우드 컴퓨팅센터'로 변모를 꾀하고 있으며, 각 부처에 필요한 만큼 정보자원을 서비스 형태로 제공하는 'IT서비스 센터'로 탈바꿈 예정이다. N센터 8중의 보안체계 하에서 클라우드서비스가 이미 정부부처에 제공되고 있으며, 향후 보안을 전제조건으로 민간분야까지 확대할 계획이다. 따라서 보안은 민간분야와의 클라우드 확산에 있어 선결요건이며, 이의 체계적이고 효율적 추진을 위해서 클라우드 데이터 센터로서의 보안수준을 파악하고 적절한 방안을 제시할 필요가 있다. 본 연구에서는 이를 위해 선진 각국의 클라우드 데이터 센터의 보안 요건을 분석하고 클라우드 서비스 형태에 클라우드 컴퓨팅의 취약점을 파악하고, 선진 민간 클라우드 데이터 센터의 보안수준을 파악하고, 현행 N데이터센터 보안 수준과 선진 민간 클라우드 데이터센터와의 갭을 분석하여 보안관점에서 전환을 위한 요건을 제시하였다.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2008년도 International Meeting on Information Display
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• pp.1009-1012
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• 2008

We have succeeded in producing the world $1^{st}$ TFT LCD panel adapting the data line sharing method. In the data line sharing structure, two neighboring pixels share one data line. We also adapted time shared data driving with a-Si TFT based circuit integration technology of LG Display's own. By using these technologies, we can reduce the number of source driver ICs by half, compared to that of the existing gate driver integrated TFT LCD panel.

• Journal of Electrical Engineering and Technology
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• 제8권4호
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• pp.704-711
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• 2013

Data center is an information hub and resource for information-centric society. Since data center houses hundreds to ten thousands servers, networking and communication equipment, and supporting systems energy saving is one of the hottest issues for green data center. Among several solutions for green data center this paper introduces higher voltage direct current (DC) power feeding system. Contrary to legacy alternating current (AC) power feeding system equipped with Uninterruptible Power Supply (UPS), higher voltage DC power feeding system is reported to be a more energy efficient and reliable solution for green data center thanks to less AC/DC and DC/AC conversions. Main focus of this paper is on reliability issue for reliable and continuous operation of higher voltage DC power feeding system. We present different types of configuration of the power feeding systems according to the level of reliability. We analyze the reliability of the power feeding systems based on M/M/1/N+1/N+1 queueing model. Operation of the power feeding system in case of failure is also presented.

• 정보관리학회지
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• 제25권3호
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• pp.297-320
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• 2008

시대적으로 역사적 기록물과 지역의 향토자료가 중요하게 부각되고 있다. 향토자료의 수집과 체계적인 관리가 절실한 상황에서 현재 수집된 자료들이 어떻게 관리되고 있는지에 대한 연구가 필요하다. 이 글의 목적은 향토자료를 생산하고 관리하는 지방문화원의 향토자료 관리 실태를 조사하고 분석하여, 그 결과 나타난 문제점을 토대로 바람직한 향토자료 관리를 위한 대안을 제시하고자 하였다. 그 결과, 지방문화원에서 향토자료 관리는 열악한 인력과 재정적인 문제로 향토자료의 체계적인 자료수집과 관리가 이루어지지 못하고 있다. 또한 지자체의 향토자료의 인식의 정도가 달라 문화원마다 향토자료 관리정도의 편차가 심하며, 문화원의 발간사업이 지역민의 생활보다는 지역 권력사에 치중되어 풍부한 지역사를 담지 못하거나 이를 교육과 문화콘텐츠 제작에 제대로 활용하지 못하는 것으로 나타났다.

• 설비공학논문집
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• 제24권3호
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• pp.212-217
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• 2012

The cooling of data centers has emerged as a significant challenge as the density of IT equipment increased. With the rapid increasing of heat load and cooling system, predictions for electronics power trends have been closely watched. A data center power density projection is needed so that IT organizations can develop data centers with adequate cooling for reasonable lifetimes. This paper will discuss the need for something more than processor and equipment power trend projections which have overestimated the required infrastructure for customers. This projection will use data from a survey of actual enterprise data centers and the ASHRAE projections to formulate a data center server heat load trend projection.

• Journal of Information Processing Systems
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• 제14권3호
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• pp.655-665
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• 2018

In efforts to increase its agricultural productivity, the Indonesian Center for Agricultural Biotechnology and Genetic Resources Research and Development has conducted a variety of genomic studies using high-throughput DNA genotyping and sequencing. The large quantity of data (big data) produced by these biotechnologies require high performance data management system to store, backup, and secure data. Additionally, these genetic studies are computationally demanding, requiring high performance processors and memory for data processing and analysis. Reliable network connectivity with large bandwidth to transfer data is essential as well as database applications and statistical tools that include cleaning, quality control, querying based on specific criteria, and exporting to various formats that are important for generating high yield varieties of crops and improving future agricultural strategies. This manuscript presents a reliable, secure, and scalable information technology infrastructure tailored to Indonesian agriculture genotyping studies.

• 응용통계연구
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• 제28권2호
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• pp.309-324
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• 2015

본 논문에서는 SRC-Stat 통계패키지를 이용하여 생존자료를 분석하는 방법을 소개한다. 본 패키지는 단변량 생존 자료 분석을 위한 콕스의 비례위험모형 뿐만아니라, 다변량 생존자료분석을 위한 공통 및 지분 프레일티 모형과 같은 고급 생존분석법을 제공한다. 잘 알려져 있는 실제자료의 사용을 통해 본 패키지의 유용성을 예증한다.