• Title/Summary/Keyword: 과학기술정보인프라

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Comparative Reliability Evaluation on Semantic Service Platforms (시맨틱 서비스 플랫폼상에서의 신뢰성 비교 평가)

  • Jung, Han-Min;Lee, Mi-Kyoung;You, Beom-Jong;Kim, Do-Wan
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.1
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    • pp.105-109
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    • 2010
  • While numerous information services are provided on the Web as a core infrastructure of information society, semantic services using the Semantic Web technologies still stay deployed number and application range. This situation would be mainly originated from the failure of securing reliability to the user. Thus, this paper introduces an evaluation method for measuring reliabilities of the semantic services comparatively. To measure the reliability of the compared systems, the observer assesses 'precision in task performance' as a quantitative analysis and 'reliability of expectation-result' as a qualitative analysis described by the test persons. On the other hand, the test person should rate the functional reliability and reliability of the served information on the vector graph by himself with a scale from 0 to 5. Experimental results show that assessment by the observer is very similar to rating value by test persons, and that the accuracy of the served information has a close effect on the functional reliability. Through this paper, we can verify the essential factors for evaluating the reliability of semantic service systems. These are functional reliability and reliability of served information resulting from function execution. In particular, it has been proven that the reliability of the semantic information services largely influences the "Quality in Use" and therefore determines the major factors of the semantic service reliability.

Production and Usage of Korean Human Information in KISTI (KISTI에 있어서 한국인 인체정보의 생산과 활용)

  • Lee, Sang-Ho;Lee, Seung-Bock
    • The Journal of the Korea Contents Association
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    • v.10 no.5
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    • pp.416-421
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    • 2010
  • The KISTI (Korea Institute of Science and Technology Information) began to produce the Korean human information called Visible Korean and Digital Korean since 2000 because there was no human information in Korea which could represent the physical characteristics of Korean human body. The Visible Korean consists of CT, MR, sectioned and segmented images of Korean human body. We obtained the serially sectioned images by grinding the Korean cadaver in horizontal direction and segmented these images by outlining the inner organs of human. We have produced the sectioned images of Korean male whole body, male head, and female pelvis in2008. The segmentation and 3D reconstruction of these images are now in proceeding. The Digital Korean consists of CT images of about 100 Korean cadavers. These CT images were segmented by individual bone, reconstructed to produce the 3D bone models and the skin surface model was also added. The mechanical properties of individual bones were obtained by measuring the property of individual bone sample. We have distributed these Korean human informations to users in domestic and abroad. About 70 institutes in domestic, and 20 institutes in abroad have used our data in research use and nearly 160 proceedings and articles were published since 2001. We think these human informations have a role of medical information infrastructure that could be used in the field of medical education, biomechanics, virtual reality etc.

A Case Study on High-Performance-Computing-based Digital Manufacturing Course with Industry-University-Research Institute Collaboration (고성능 컴퓨팅 기반 디지털매뉴팩처링 교과목의 산·학·연 협력 운영에 관한 사례연구)

  • Suh, Yeong Sung;Park, Moon Shik;Lee, Sang Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.2
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    • pp.610-619
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    • 2016
  • Digital manufacturing (DM) technology helps engineers design products promptly and reliably at low production cost by simulating a manufacturing process and the material behavior of a product in use, based on three-dimensional digital modeling. The computing infrastructure for digital manufacturing, however, is usually expensive and, at present, the number of professional design engineers who can take advantage of this technology to a product design accurately is insufficient, particularly in small and medium manufacturing companies. Considering this, the Korea Institute of Science and Technology Information (KISTI) and H University is operating a DM track in the form of Industry-University-Research Institute collaboration to train high-performance-computing-based DM professionals. In this paper, a series of courses to train students to work directly into DM practice in industry after graduation is reported. The operating cases of the DM track for two years since 2013 are presented by focusing on the progress in establishment, lecture and practice contents, evaluation of students, and course quality improvement. Overall, the track management, curriculum management, learning achievement of students have been successful. By expediting more active participation of the students in the track and providing more internship and job offers in the participating companies in addition to collaborative capstone design projects, the track can be expanded by fostering a nationwide training network.

Improving the Job Success Rate through Analysis of User Logs in HPC (HPC 환경에서 사용자 로그 분석을 통한 작업 성공률 개선)

  • Yoon, JunWeon;Hong, TaeYoung;Kong, Ki-Sik;Park, ChanYeol
    • Journal of Digital Contents Society
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    • v.16 no.5
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    • pp.691-697
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    • 2015
  • Supercomputers are used for many different areas including new product design of industries as well as state-of-the-art science and technology for large amount of computational needs. Tachyon is a 4th supercomputer built at KISTI that is a high-performance parallel computing system with 3,200 computing nodes and infrastructures. This system is currently about 10,000 users and over 170 organizations are used, the number of jobs they are performing work in batch type form through a scheduler. Also, this system logs lots of job scripts, execution environment, library, job status from the job submit to end. In this paper, we analyzed batch jobs information from Sun Grid Engine, that use as a scheduler in Tachyon system, and job executed information in Tachyon System. In particular, we distinguished the fail jobs from the all tasks that users perform and we analyzed the cause of failure. Among them, we can extracted some of jobs that can be regarded as normal jobs through the improvement in those works logged as all of fail jobs.

The Status of e-Business in Korea Forest Product Industries (한국목재산업에 있어 e-Business의 활용)

  • Kim, Se-Bin;Kwak, Kyung-Ho
    • Korean Journal of Agricultural Science
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    • v.30 no.1
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    • pp.20-30
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    • 2003
  • This study was carried out to examine the e-Business status of Korea Forest Product Industries and to propose the development. The use level of e-Business in korea forest product industries have stayed in internal company information network integration stages. But lots of companies located in the insufficient of e-Business models, the lack of qualified staffs, and the shortage of e-Business operating technology and implementation. As the result of this study, the followings must be considered; 1. For the promotion of e-Business use, it is needed to maintain price competitiveness, quality competitiveness, and market correspondence capacity. 2. For the settlement of e-Business models, it is important to connect information network among cooperation companies as like forest products standardize, common database, and standard electronic catalogue. Also, it needed developing program to strengthen the competitiveness of forest product industries, expanding to outsourcing and affiliated companies.

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A study on Military Adapting Method of Non-stop Server using Clustering (클러스터링을 이용한 무정지서버의 군적용방안에 관한 연구)

  • Lee, Kyung-Chan;Lee, Sang-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.11c
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    • pp.2383-2386
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    • 2002
  • 많은 ISP업체와 서버 관리자들은 자신의 시스템 향상을 위하여 많을 비용을 쏟아 붇고 있지만 그 결과는 비관적이다. 지금까지는 하드웨어적인 성능만을 고려하였으나, 최근에는 리눅스를 탑재하여 낮은 가격과 높은 가용성을 가지면서, 증가하는 네트워크 요청에 효과적으로 대응하기 위한 해결책으로 여러 대의 호스트로 구성되는 클러스터링 기술이 각광을 받고 있다. 또한 클러스터는 저렴한 호스트들로 구성되므로 구축 비용이 절감되는것 뿐만 아니라, 일부 호스트가 고장 나더라도 다른 호스트는 네트워크 작업 분담을 재설정하여 정상적으로 동작함으로 가용성이 항상 유지될 수 있다는 것을 보여준다. 최근 군에서도 정보화 과학화의 열풍에 힘입어 그 어느때보다도 업무의 전산화, 정보화에 박차를 가하고 있는 실정이다. 이로 인한 군업무에 적용되는 중대형 서버의 증가와 1인 1PC정책에 의한 클라이언트의 증가, 네트웍 인프라 구축에 심혈을 기울이고 있다. 그러나 사용자의 요구만큼 군환 경하에서의 정보화 업무를 감당하는 서버의 역량은 제한이 있다. 군업무의 특수성에 비추어 볼때에도 사회의 금융업무와 마찬가지로 중단없는 서비스의 수행과 서버의 안정화는 군전산의 가장 중요한 요소중의 하나임에 불구하고 아직까지도 현실성은 많이 미비한 상태이다. 본 연구는 이와 같은 문제를 해결하기 위하여 NAS와 SAN개념(네트웍기반)을 도입하여 군 서버 구축 새로운 패러다임을 제공하여 업무의 통폐합과 함께 서버의 통폐합의 전초단계인 무정지 클러스터링 서버의 구축방안을 제시하여 군정보화, 과학화의 초석을 다지는 계기로 삼고자 한다.위상변화에 대한 적응성을 높일 수 있도록 한다. SQL Server 2000 그리고 LSF를 이용하였다. 그리고 구현 환경과 구성요소에 대한 수행 화면을 보였다.ool)을 사용하더라도 단순 다중 쓰레드 모델보다 더 많은 수의 클라이언트를 수용할 수 있는 장점이 있다. 이러한 결과를 바탕으로 본 연구팀에서 수행중인 MoIM-Messge서버의 네트워크 모듈로 다중 쓰레드 소켓폴링 모델을 적용하였다.n rate compared with conventional face recognition algorithms. 아니라 실내에서도 발생하고 있었다. 정량한 8개 화합물 각각과 총 휘발성 유기화합물의 스피어만 상관계수는 벤젠을 제외하고는 모두 유의하였다. 이중 톨루엔과 크실렌은 총 휘발성 유기화합물과 좋은 상관성 (톨루엔 0.76, 크실렌, 0.87)을 나타내었다. 이 연구는 톨루엔과 크실렌이 총 휘발성 유기화합물의 좋은 지표를 사용될 있고, 톨루엔, 에틸벤젠, 크실렌 등 많은 휘발성 유기화합물의 발생원은 실외뿐 아니라 실내에도 있음을 나타내고 있다.>10)의 $[^{18}F]F_2$를 얻었다. 결론: $^{18}O(p,n)^{18}F$ 핵반응을 이용하여 친전자성 방사성동위원소 $[^{18}F]F_2$를 생산하였다. 표적 챔버는 알루미늄으로 제작하였으며 본 연구에서 연구된 $[^{18}F]F_2$가스는 친핵성 치환반응으로 방사성동위원소를 도입하기 어려운 다양한 방사성의 약품개발에 유용하게 이용될 수 있을 것이다.었으나 움직임

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The Development of 'Korea's Science Education Indicators' (한국의 과학교육 종합 지표 개발 연구)

  • Hong, Oksu;Kim, Dokyeong;Koh, Sooyung;Kang, Da Yeon
    • Journal of The Korean Association For Science Education
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    • v.41 no.6
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    • pp.471-481
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    • 2021
  • The importance of science education for cultivating the competencies required by an intelligent information society is gradually being strengthened. The government's roles and responsibilities for science education are stipulated by laws and policies in Korea. In order to systematically support science education, continuous monitoring of related policies is essential. This study aims to develop indicators that can be used to systematically and continuously monitor the national policies on science education in Korea. To achieve this goal, we first derive the framework for the indicators that has two dimensions (learner and science education context) and three categories (input, process, and outcome) from literature reviews. In order to derive the components and subcomponents of the indicators, the contents of science education-related indicators developed in Korea or abroad were reviewed. In order to verify the suitability and validity of the framework and components of the initial indicators, a two-round Delphi method was conducted with 25 expert participants with five different professions in science education. Finally, three components of the 'input' category (student characteristics, teacher characteristics, and educational infrastructure), three components of the 'process' category (science curriculum implementation, science educational contents and programs implementation, and teacher professional development program implementation), and five components of the 'outcome' category (science competency, participation and action, affective achievement, cognitive achievement, and satisfaction) were derived. An instrument to collect data from students, teachers, and institutions was developed based on the components and subcomponents, and content validity and internal consistency of the instrument were analyzed. Korea's Science Education Indicators developed in this study can comprehensively measure the current status of science education and is expected to contribute to a more efficient and effective science education policy planning and implementation.

Strategies for Improving the Collection and Use of Research Data in the Humanities (인문학 분야 연구데이터의 수집 및 활용성 증진을 위한 전략 연구 - 기초학문자료센터를 중심으로 -)

  • Shim, Wonsik;Ahn, Hye-yeon;Byun, Jeayeon
    • Journal of the Korean Society for Library and Information Science
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    • v.49 no.3
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    • pp.155-183
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    • 2015
  • The rapid growth of information technologies and data networks has increased the volume of data generated from scholarly research and the possibilities of re-using and sharing such data. However, there is a serious problem of management and sharing of research data due to the lack of facilitating policies and supporting infrastructure. In particular, few data repositories exist that support systematic collection and sharing of research data in the humanities. In this regard, the Korea Research Memory (KRM) established by the Korea Research Foundation is a rare exception. The purpose of this research is to present specific processes and strategies that can facilitate the data collection, reuse and preservation through the KRM using task analysis and source document gathering as main focal points. In addition, in order for the effective collection and sharing of research data, the following recommendations are proposed: 1) the need for the adoption of data management plan related policies that govern the collection and sharing of research data generated from publicly funded research projects, 2) the need for training and support services for individual researchers and research institutes, 3) the need for training data specialists, and 4) the citation scheme and structure designed for research data.

The Education Model of Liberal Arts to Improve the Artificial Intelligence Literacy Competency of Undergraduate Students (대학생의 AI 리터러시 역량 신장을 위한 교양 교육 모델)

  • Park, Youn-Soo;Yi, Yumi
    • Journal of The Korean Association of Information Education
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    • v.25 no.2
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    • pp.423-436
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    • 2021
  • In the future, artificial intelligence (AI) technology is expected to become a general-purpose technology (GPT), and it is predicted that AI competency will become an essential competency. Several nations around the world are fostering experts in the field of AI to achieve technological proficiency while working to develop the necessary infrastructure and educational environment. In this study, we investigated the status of software education at the liberal arts level at 31 universities in Seoul, along with precedents from domestic and foreign AI education research. Based on this, we concluded that an AI literacy education model is needed to link software education at the liberal arts level with professional AI education. And we classified 20 AI-related lectures released in the KOCW according to the AI literacy competencies required; based on the results of this classification, we propose a model for AI literacy education in the liberal arts for undergraduate students. The proposed AI literacy education model may be considered as AI·SW convergence to experience AI along with literacy in the humanities, deviating from the existing theoretical and computer-science-based approach. We expect that our proposed AI literacy education model can contribute to the proliferation of AI.

Massive Electronic Record Management System using iRODS (iRODS를 이용한 대용량 전자기록물 관리 시스템)

  • Han, Yong-Koo;Kim, Jin-Seung;Lee, Seung-Hyun;Lee, Young-Koo
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.8
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    • pp.825-836
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    • 2010
  • The advancement of electronic records brought great changes of the records management system. One of the biggest changes is the transition from passive to automatic management system, which manages massive records more efficiently. The integrated Rule-Oriented Data System (iRODS) is a rule-oriented grid system S/W which provides an infrastructure for building massive archive through virtualization. It also allows to define rules for data distribution and back-up. Therefore, iRODS is an ideal tool to build an electronic record management system that manages electronic records automatically. In this paper we describe the issues related to design and implementation of the electronic record management system using iRODS. We also propose a system that serves automatic processing of distribution and back-up of records according to their types by defining iRODS rules. It also provides functions to store and retrieve metadata using iRODS Catalog (iCAT) Database.