• Title/Summary/Keyword: 국가과학기술정보

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A Study on Research Data Management Methods for Government-funded Research Institutes in the Field of Science and Technology (과학기술분야 정부출연연구기관 연구데이터 관리 방안 연구)

  • Na-eun Han;Jung-Ho Um;Hyung-Jun Yim
    • Journal of the Korean Society for Library and Information Science
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    • v.58 no.2
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    • pp.151-175
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    • 2024
  • This study analyzes the current status of research data management at NST-affiliated government-funded research institutes for the purpose of promoting the sharing and use of research data, and based on this, suggests methods for establishing a research data sharing and management system. The survey on the status of research data management was conducted twice in 2022 and 2023 for a total of 20 research institutes. In addition, difficulties and areas that need to be improved in the management and sharing of research data were identified, and based on this, methods for establishing a research data sharing and management system were proposed by dividing them into policy aspects, system aspects, and linkage system construction aspects. In order to establish a research data sharing system, it would be desirable to prepare a policy basis and present contents such as the definition of research data, scope of application, contents of management, utilization method, and leading institutes. In addition, for systematic and unified research data management, it would be recommended that each institute will establish and manage a repository and management system. By linking this with DataON, the national research data platform, and providing one-stop services, the accessibility and usability of data will be improved.

Analysis on the National R&D Portfolio of Food Safety in Korea from 2008 to 2010 (최근 3년(2008-2010)간 식품안전 분야 국가연구개발사업 운영 현황 분석)

  • Kwak, No-Seong;Jeong, Jiwon;Lee, Jong-Kyung
    • Journal of Food Hygiene and Safety
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    • v.28 no.2
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    • pp.115-123
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    • 2013
  • Food safety management should be based on scientific evidences. FAO and WHO presented risk analysis as one of four principles in food safety management. WTO also admits the self safety regulation only when it is made on the basis of risk assessment. Without scientific analysis, tracing and eliminating the cause of food poisoning is impossible. Research and development plays a key role to produce scientific evidences. The Korean government ran over 40 programs in 11 agencies from 2008 to 2010. However, there is no statistics on food safety R&D at present. In this research, food safety projects conducted from 2008 to 2010 are listed up by means of analysing National Science and Technology Information Service (NTIS). The analytical criteria are the name of programs, national standard classification of science and technology, and keywords. As result, Korea Food and Drug Administration, Ministry for Food, Agriculture, Forestry and Fisheries, and Rural Development Administration play major role in the food safety R&D. The portion of more than one year projects should rise up in order to achieve the data for risk assessment, which is strongly required to improve. Besides, the research should be deeper so as to publish more SCI papers. The R&D portfolio should be changed in direction to raise up the portion of biological hazards such as norovirus. In order to do so, a large number of food safety programs should be emerged. The categories of food safety management and the hygiene/quality management of the agricultural and livestock products in the national standard classification of science and technology should be emerged because they are set up reflecting agencies' interests in spite of few differences between them.

Effective Distributed Supercomputing Resource Management for Large Scale Scientific Applications (대규모 과학응용을 위한 효율적인 분산 슈퍼컴퓨팅 자원관리 기술 연구)

  • Rho, Seungwoo;Kim, Jik-Soo;Kim, Sangwan;Kim, Seoyoung;Hwang, Soonwook
    • Journal of KIISE
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    • v.42 no.5
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    • pp.573-579
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    • 2015
  • Nationwide supercomputing infrastructures in Korea consist of geographically distributed supercomputing clusters. We developed High-Throughput Computing as a Service(HTCaaS) based on these distributed national supecomputing clusters to facilitate the ease at which scientists can explore large-scale and complex scientific problems. In this paper, we present our mechanism for dynamically managing computing resources and show its effectiveness through a case study of a real scientific application called drug repositioning. Specifically, we show that the resource utilization, accuracy, reliability, and usability can be improved by applying our resource management mechanism. The mechanism is based on the concepts of waiting time and success rate in order to identify valid computing resources. The results show a reduction in the total job completion time and improvement of the overall system throughput.

A Study on Network Strategy for Smart Society by Analysis of Spatial Information Technology Trends (공간정보기술 동향 분석을 통한 스마트사회 네트워크 전략에 관한 연구)

  • Kang, Young-mo;Kang, Chan-woo;Han, Kyeong-seok;Kim, Jong-bae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.6
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    • pp.1411-1418
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    • 2015
  • Currently, the previous studies on the concept, configuration, and system regarding spacial information policies show the little progress. However, these studies only propose the basic structure system in terms of a policy theory, seeking and suggesting the basic concept to establish spacial information policies. In the shift of a new paradigm from a PC-based paradigm that began in the mid-2000s to the current smart society based on mobile devises, such as smart phones, this study thus reviewed the strategic direction of the propulsion to establish the desired future strategy for the spatial technology policy with spatial information system that can influence the future national competitiveness of Korea. The results of this study is expected to be used to analyze a variety of issues and technological changes on geospatial intelligence at the global level and to support the establishment of a road-map for policies and research & development on domestic geospatial information.

Development of Collaboration Infrastructure to Promote R&D Collaboration (R&D 협업 촉진을 위한 통합협업 인프라의 개발)

  • Jang, Heejin;Lee, Kyoungmin;Kong, Jonguk;Jo, Jinyong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.10
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    • pp.2429-2440
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    • 2015
  • This paper introduces an online collaboration infrastructure in order to build a nationwide collaboration ecosystem in research and education areas. The proposed infrastructure involves domestic research institutes, education institutions and related commercial service vendors. It also includes various systems and services which can promote their online collaboration. Especially it provides the user authentication framework based on identity federation which facilitates the share of various ICT resources across different organizations, thereby enabling the efficient R&D collaboration. We deploy and validate the user authentication framework of the infrastructure on KREONET.

Development of a High Quality RFID Recognition System Complemented by Visual Recognition Techniques (RFID 인식률 보정을 위한 화상인식 융합 시스템 개발)

  • Yoo, Gil-Sun;Oh, Dong-Ik;Jeon, Jae-Hong;Hong, Min;Park, Sang-Jung;Jang, Woo-Jae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.04a
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    • pp.83-86
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    • 2012
  • RFID는 국가 신성장 동력 분야로서 미래 성장성이 매우 클 것으로 예상되며, 이미 물류관리 등 다양한 분야에 활용되고 있다. 그러나 RFID리더의 인식률은 95%~98%대에 머무르고 있어, 오 인식된 2%~5%의 처리를 위하여 많은 시간과 자본이 투입되어야 하는 실정이다. 이에 본 연구에서는 하드웨어의 인식률의 한계를 극복하고 보다 정교한 인식시스템을 구축할 수 있도록 화상인식을 통해 사물의 개수를 파악하는 기술을 RFID기술에 접목한 융합 시스템을 제안하고자 한다. 구체적으로는 RFID 리더기를 통해 물품의 개수를 파악하고, 이와 더불어 화상인식 기술을 이용하여 사물의 개수를 파악한다. 이때 두 개의 서로 다른 방법으로 인식한 사물의 개수를 비교하여, 동일하면 그 인식 결과를 신뢰하고, 그렇지 않은 경우 RFID전파의 출력세기 및 카메라 촬영각도 등을 보정하여 RFID 인식률을 향상시키는 것이다. 본 논문에서는 현재 개발이 진행 중인 이 시스템의 구성, 상호연동 알고리즘 및 구현방법에 대해 설명하고자 한다.

Supercomputing Performance Demand Forecasting Using Cross-sectional and Time Series Analysis (횡단면분석과 추세분석을 이용한 슈퍼컴퓨팅 성능수요 예측)

  • Park, Manhee
    • Journal of Technology Innovation
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    • v.23 no.2
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    • pp.33-54
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    • 2015
  • Supercomputing performance demand forecasting at the national level is an important information to the researchers in fields of the computational science field, the specialized agencies which establish and operate R&D infrastructure, and the government agencies which establish science and technology infrastructure. This study derived the factors affecting the scientific and technological capability through the analysis of supercomputing performance prediction research, and it proposed a hybrid forecasting model of applying the super-computer technology trends. In the cross-sectional analysis, multiple regression analysis was performed using factors with GDP, GERD, the number of researchers, and the number of SCI papers that could affect the supercomputing performance. In addition, the supercomputing performance was predicted by multiplying in the cross-section analysis with technical progress rate of time period which was calculated by time series analysis using performance(Rmax) of Top500 data. Korea's performance scale of supercomputing in 2016 was predicted using the proposed forecasting model based on data of the top500 supercomputer and supercomputing performance demand in Korea was predicted using a cross-sectional analysis and technical progress rate. The results of this study showed that the supercomputing performance is expected to require 15~30PF when it uses the current trend, and is expected to require 20~40PF when it uses the trend of the targeting national-level. These two results showed significant differences between the forecasting value(9.6PF) of regression analysis and the forecasting value(2.5PF) of cross-sectional analysis.

The Specification of Air-to-Air Combat Tactics Using UML Sequence Diagram (UML Sequence Diagram을 활용한 공대공 교전 전술 명세)

  • Park, Myunghwan;Oh, Jihyun;Kim, Cheonyoung;Seol, Hyeonju
    • Journal of the Korea Institute of Military Science and Technology
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    • v.24 no.6
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    • pp.664-675
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    • 2021
  • Air force air-to-air combat tactics are occurring at a high speed in three-dimensional space. The specification of the tactics requires dealing with a quite amount of information, which makes it a challenge to accurately describe the maneuvering procedure of the tactics. The specification of air-to-air tactics using natural languages is not suitable because of the intrinsic ambiguity of natural languages. Therefore, this paper proposes an approach of using UML Sequence Diagram to describe air-to-air combat tactics. Since the current Sequence Diagram notation is not sufficient to express all aspects of the tactics, we extend the syntax of the Sequence Diagram to accommodate the required features of air-to-air combat tactics. We evaluate the applicability of the extended Sequence Diagram to air-to-air combat tactics using a case example, that is the manned-unmanned teaming combat tactic. The result shows that Sequence Diagram specification is more advantageous than natural language specification in terms of readability, conciseness, and accuracy. However, the expressiveness of the Sequence Diagram is evaluated to be less powerful than natural language, requiring further study to address this issue.

Estimation of Agricultural Water Return Flow Using a Network Model Based on Paddy Irrigation Areas (논배수로 네트워크 모형을 통한 농업용수 회귀수량 산정 방안)

  • Inkyo Choo;Junhwa Lee;Adigun Ismail Adebayo;Younghun Jung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.407-407
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    • 2023
  • 최근 환경부에서 발표한 국가물관리기본계획에서 수자원 총량 중 생활·공업·농업·유지용수의 이용량은 365억m3/년으로 약 29.4%로 발표되었다. 유지용수를 제외한 농업용수 이용량의 비중은 약 60.5%이며, 이 중 약 80%가 논에서 활용되고 있다. 이러한 농업용수 이용량 중 사용되지 않고 하천으로의 방류량이 존재하는데 이를 관개회귀수량이라하며, 농업용수의 약 35%가 하천으로 회귀된다 발표하나 지역에 따른 편차가 존재하기에 정확한 회귀수량을 산정하기엔 미흡한 실정이다. 따라서 본 연구에서는 네트워크 모형을 통한 용배수로 구축 이후 회귀수 정량화를 하고자 하며, 정량화를 위한 네트워크 모형은 EPA-SWMM(Storm Water Management Model) 모형을 활용하였다. 해당 모형은 미국 환경 보호국(U.S. Environmental Protection Agency, EPA)에서 개발한 네트워크 물리모형으로 다양한 환경적 요소에 따른 수문 영향을 확인 가능한 모형이다. 해당 모형의 다양한 네트워크 기능을 통해 논배수로 네트워크를 구축하여 회귀수 정량화를 진행하고자 한다. 논배수로 네트워크를 구축하기 이전 현장조사를 진행하였다. 현장조사를 통한 용수계통도를 작성하였으며, 모형의 입력자료로 필요한 네트워크 용배수로관 표고값을 측량하였다. 이후 현장조사 및 측량 자료를 활용하여 네트워크 물리모형의 입력자료 구축을 진행하였으며, 해당 자료 구축은 지리 정보 시스템 중 ArcGIS와의 연계를 통해 구축하였다. 모형의 수리학적 입력자료는 해당지역의 계측자료를 활용하였으며, 필지 사이의 내리흐름 및 펌프를 통한 용수 또한 네트워크 물리모형의 기능을 활용하여 구축하였다. 이후 계측자료와의 비교를 통한 매개변수 보정을 진행하였으며, 전체 논배수로에 대한 농업용수의 흐름 및 회귀수량을 분석하였다. 해당 연구를 통해 농업용수의 회귀수 산정 및 지역 편차에 따른 회귀수 정량화 등의 연구에 활용될 것으로 기대한다.

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Analyzing data-related policy programs in Korea using text mining and network cluster analysis (텍스트 마이닝과 네트워크 군집 분석을 활용한 한국의 데이터 관련 정책사업 분석)

  • Sungjun Choi;Kiyoon Shin;Yoonhwan Oh
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.6
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    • pp.63-81
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    • 2023
  • This study endeavors to classify and categorize similar policy programs through network clustering analysis, using textual information from data-related policy programs in Korea. To achieve this, descriptions of data-related budgetary programs in South Korea in 2022 were collected, and keywords from the program contents were extracted. Subsequently, the similarity between each program was derived using TF-IDF, and policy program network was constructed accordingly. Following this, the structural characteristics of the network were analyzed, and similar policy programs were clustered and categorized through network clustering. Upon analyzing a total of 97 programs, 7 major clusters were identified, signifying that programs with analogous themes or objectives were categorized based on application area or services utilizing data. The findings of this research illuminate the current status of data-related policy programs in Korea, providing policy implications for a strategic approach to planning future national data strategies and programs, and contributing to the establishment of evidence-based policies.