• Journal of Technology Innovation
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• v.25 no.3
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• pp.155-195
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• 2017

The goal of the present study is reviewing the literature on the scientific community and also on science, technology & society to increase interactions between innovation studies and social studies of science and technology. Up until now, various empirical studies on Korean scientists and engineers have been concentrated on researchers at universities, while they have paid inadequate attention to researchers at state-funded research institutes and private companies. In addition, these studies have tended to use concepts in Western academia to elucidate Korean cases. On the other hand, recent empirical researches on the effects of the evaluation systems in universities, PBS system, and the network of school ties suggest that these topics may reveal the unique characteristics of Korean scientific community. Empirical studies on the scientific community have also shown that Korean research institutes and researchers who are in charge of innovation in Korea have demonstrated a tendency to conform to the government's guidance due to long experiences of state-led R&D and nationalism. Research on science, technology and society has viewed the participation of citizens in science and technology as a way toward science and technology democracy, and tended to have a strong practical orientation. However, there has been a relatively small amount of research on how citizen participation influences the direction and content of technological innovation. Also, although, from the viewpoint of technological innovation, how participation of citizens in science and technology can contribute to knowledge production and innovation is a critical issue, relatively small numbers of case studies on this subject have been conducted. Therefore, as the scholars who have emphasized the democracy of science and technology have actually experimented with various ways of citizen participation, innovation researchers may have to design and implement citizen participation through which citizens' local knowledge can contribute to technological innovation.

• Korea Information Processing Society Review
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• v.15 no.2
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• pp.43-57
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• 2008

IT기술의 눈부신 발전으로 인해 과학적 연구(scientific research)는 더 이상 한 개인 연구자의 실험실내에서 수행되는 것이 아니라 학제, 실험실, 연구기관, 심지어는 국가를 포괄한 연구자 커뮤니티의 협업 형태로 수행되고 있다. e-Science란 이처럼 IT 기반으로 과학, 공학에 있어서 새로운 문제들을 풀기 위한 자원과 연구자들의 글로벌 협업을 말한다. 우리나라도 지난 2005년부터 국가적 차원에서 e-Science 사업을 진행해 오고 있다. 유럽도 지난 2004년부터 소위 EGEE (Enabling Grid for E-SciencE)라는 e-Science 프로젝트를 전 유럽차원에서 진행해 오고 있다. 본 논문에서는 그동안 진행해온 한국과 유럽의 e-Science 환경 구축에 있어서 핵심적인 역할을 하고 있는 e-Science 기반 기술에 대해서 소개를 하고자 한다.

• Journal of Scientific & Technological Knowledge Infrastructure
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• s.13
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• pp.27-39
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• 2004

인터넷의 발달로 엄청난 양의 정보가 유통됨에 따라, 과학기술분야의 연구자들에게 이러한 정보를 분석하여 검증된 형태의 분석정보를 신속하게 제공하는 것이 기술혁신을 위한 연구개발 성과와 직결되고 있는 추세이다. 인터넷 시대 이전에는 극히 제한적으로 통제된 형태로 유통되던 정보가 현재는 정형과 비정형, 정보 표출의 형식을 갖춘 기관과 자유분방한 개인의 역할이 혼재하면서 정보수집과 분석의 양상이 사뭇 달라지고 있다.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.251-260
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• 2016

Knowledge map is widely used to represent knowledge in many domains. This paper presents a method of integrating the national R&D data and assists of users to navigate the integrated data via using a knowledge map service. The knowledge map service is built by using a lightweight ontology modeling method. The national R&D data is integrated with the research project as its center, i.e., the other R&D data such as research papers, patent, and project reports are connected with the research project as its outputs. The lightweight ontology is used to represent the simple relationships between the integrated data such as project-outputs relationships, document-author relationships, and document-topic relationships. Knowledge map enables us to infer the further relationships such as co-author and co-topic relationships. To extract the relationships between the integrated data, a RDB-to-Triples transformer is implemented. Lastly, we show an experiment on R&D data integration using the lightweight ontology, triples generation, and visualization and navigation of the knowledge map.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.37-39
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• 2022

KISTI(한국과학기술정보연구원)는 슈퍼컴퓨터 5호기 메인시스템인 Nurion과 보조시스템인 Neuron을 연구자들에게 서비스하고 있다. Neuron은 메인시스템인 Nurion이 Intel Knights Landing 프로세서가 장착된 클러스터로 구성됨에 따라 인공지능, 빅데이터에 관한 연구 인프라 수요를 충족시키기 위해 GPU를 장착한 이기종 클러스터로 구성되어 있다. Neuron은 연구자들에게 효율적으로 계산 자원을 배분하기 위해 SLURM 작업배치스케줄러의 공유노드 정책을 이용하여 한 개의 계산노드에서 다수 개의 작업이 수행될 수 있는 환경으로 서비스되고 있다. 본 논문에서는 공유노드 정책으로 운영 중인 클러스터 시스템에서 작업별로 GPU 사용 통계 데이터를 생성하는 기법을 소개한다.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.137-152
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• 2021

In North Korea, where there was little external activity, the number of overseas academic paper publications has recently increased. This study aims to quantitatively analyze North Korean papers published abroad to identify changes in North Korea's research and development trends, and to explore the possibility of developing them through joint research with domestic researchers in the future. To this end, since 1986, frequency analysis and network analysis have been conducted on papers published overseas including North Korean researchers. The analysis was conducted on authors, research institutes, countries, and research fields, and changes were analyzed before and after Kim Jong-un took office. According to the results of the analysis, as the number of foreign papers published rapidly increased during the eight years after Kim Jong-un took office, the composition of the top researchers, research institutes, and researchers with high influence in joint research also changed a lot. After Kim Jong-un came to power, the proportion of North Korean researchers and research institutes increased relatively, and a network component was formed between researchers with high influence on joint research, so it was observed that they focused on specific research topics. It was found that the major foreign collaborators or research institutes of North Korean researchers were from China.

• Bulletin of Food Technology
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• v.26 no.4
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• pp.286-293
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• 2013

글로벌동향브리핑(GTB)에서는 100여명의 국내 외 과학기술 전문가가 농림 수산, 생명과학, 보건 의료 등 19개 주제로 해외 과학기술동향을 소개하고 있다. 이를 바탕으로 식품분야의 최신 해외과학기술 주요동향을 요약하여 재정리 하고자 한다. 새로운 기술의 등장은 타분야 기술로 빠르게 파급된다. 최근 등장하는 기술 역시 농식품 분야로 전파되어 새로운 식품기술(Food Technology)의 등장을 견인하고 있다. 식품에 적용되기까지 많은 시간이 소요될 수 있으나 일부 연구자들은 발빠르게 움직여 관련 결과가 제시되기도 하고 있다. 따라서 이번 호에서는 3D printing, Big data, 영상기술 등 타분야의 신기술을 다루고자 한다.

• Journal of Information Management
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• v.28 no.3
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• pp.21-45
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• 1997

The objective of this study is to build up an electronic reference service system specifically in the field of nuclear. Comparing with a library service system, this on has some advantages in that users can obtain information services through the network without spending much time and labor in visiting the library in person. A questionnaire was inquired for 300 researchers to get useful information for the building of the system. This system was proved to be useful by users.

• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.73-84
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• 2019

Machine learning as a service, the so-called MLaaS, has recently attracted much attention in almost all industries and research groups. The main reason for this is that you do not need network servers, storage, or even data scientists, except for the data itself, to build a productive service model. However, machine learning is often very difficult for most developers, especially in traditional science due to the lack of well-structured big data for scientific data. For experiment or application researchers, the results of an experiment are rarely shared with other researchers, so creating big data in specific research areas is also a big challenge. In this paper, we introduce the KISTI-ML platform, a community-based rapid AI model development for scientific data. It is a place where machine learning beginners use their own data to automatically generate code by providing a user-friendly online development environment. Users can share datasets and their Jupyter interactive notebooks among authorized community members, including know-how such as data preprocessing to extract features, hidden network design, and other engineering techniques.

• Journal of the Korean Society for information Management
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• v.19 no.4
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• pp.77-94
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• 2002

In this study we analyze the present situation of cited and citing references among researchers, based on Korean Science Citation Index developed by Korea Institute of Science & Technology Information. There are some differences on the rank of frequently cited journals between JCR of ISI and KSCI, especially in the field of mechanical engineering. The purpose of this study is to find an efficient way of constructing KSCI database and to propose a service model which can be available as a tool to evaluate research activities and to provide researcher with basic information resources.