• Title/Summary/Keyword: Science Technology Information

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A Study on ScienceDMZ Construction for High Speed Transfer of Science Big Data (과학빅데이터 고속전송을 위한 ScienceDMZ 구축 방안 연구)

  • Moon, Jeong-hoon;Kwak, Jai-seung;Hong, Won-taek;Kim, Ki-heyon;Lee, Sang-kwon;Kim, Dong-kyun;Kim, Yong-hwan;Yu, Ki-sung
    • KNOM Review
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    • v.22 no.2
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    • pp.12-21
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    • 2019
  • There is a rapid development of experimental equipment and ICT technology in data-intensive scientific areas, thus, big data of more than exabyte size is being generated. However, the big data transmission technology does not satisfy the needs of the application researchers who utilize it. Various high-performance transmission technologies have been developed based on QoS(Quality of Service), but they also require changes in the clean slate method. On the other hand, ScienceDMZ technologies improve the performance of scientific big data transmission by bypassing the firewall that causes a big problem in transmission performance. In addition, it is possible to implement without changing the existing network. In this paper, we built ScienceDMZ in an international long-distance environment based on KREONET(Korea Research Environment Open NETwork), and we verified the performance. We also introduced how GPU platform could be linked in a distributed ScienceDMZ environment.

KISTI NEWS IN NEWS

  • Korea Institute of Science and Technology Information
    • Journal of Scientific & Technological Knowledge Infrastructure
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    • s.16
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    • pp.6-11
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    • 2004
  • PDF

Deep Learning-Based Modulation Detection for NOMA Systems

  • Xie, Wenwu;Xiao, Jian;Yang, Jinxia;Wang, Ji;Peng, Xin;Yu, Chao;Zhu, Peng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.2
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    • pp.658-672
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    • 2021
  • Since the signal with strong power need be demodulated first for successive interference cancellation (SIC) receiver in non-orthogonal multiple access (NOMA) systems, the base station (BS) need inform the near user terminal (UT), which has allocated higher power, of the far UT's modulation mode. To avoid unnecessary signaling overhead of control channel, a blind detection algorithm of NOMA signal modulation mode is designed in this paper. Taking the joint constellation density diagrams of NOMA signal as the detection features, the deep residual network is built for classification, so as to detect the modulation mode of NOMA signal. In view of the fact that the joint constellation diagrams are easily polluted by high intensity noise and lose their real distribution pattern, the wavelet denoising method is adopted to improve the quality of constellations. The simulation results represent that the proposed algorithm can achieve satisfactory detection accuracy in NOMA systems. In addition, the factors affecting the recognition performance are also verified and analyzed.

SINDI-WALKS: A Workbench for Scientific Intelligence Discovery (SINDI-WALKS: 과학기술지식발견 워크벤치)

  • Choi, Sung-Pil;Choi, Yoon-Soo;Chun, Hong-Woo;Jeong, Chang-Hoo;Song, Sa-Kwang;Jung, Han-Min
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06b
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    • pp.279-281
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    • 2012
  • 본 논문은 과학 기술 분야 학술 정보에 내재된 기술 지식을 효과적으로 추출하기 위한 시스템인 SINDI-WALKS를 소개한다. 이 시스템은 학술 정보에 자주 등장하며 내용 전개에 핵심적인 역할을 수행하는 PLOT, 즉 인명, 지명, 기관명, 그리고 기술용어를 자동으로 인식하고 이들 간의 의미적 연관 관계를 추출할 수 있는 통합 지원 도구이다. 논문에서 소개하는 다양한 지원 도구들을 바탕으로 기술 지식추출의 성능을 특정 분야 혹은 자원에 최적화할 수 있는 기반을 마련할 수 있다.

A Survey of the Science and Technology Information System of Korea, China, and Japan for Resource Sharing (한중일 과학기술정보협력을 위한 정보유통현황 분석)

  • Cha, Mi-Kyeong;Pyo, Soon-Hee;Choi, Hee-Yoon;Kim, Hye-Sun
    • Journal of Information Management
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    • v.38 no.2
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    • pp.1-23
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    • 2007
  • Korea, China and Japan are in great demand for each other’s science and technology information since they geographically lie adjacent and have common interest in a variety of science and technology fields. Yet, they have difficulties in obtaining the other two countries’ information due to the lack of an appropriate system to access the information and also to restrictions such as a language barrier. The purpose of this study is to suggest the ways of sharing science and technology information among Korea, Japan and China. It surveys the national science and technology information systems and policies of each country and proposes four stages of resource sharing.

A Standard Operating Procedures for Efficient NTIS Service Operation : NTIS SOP (효율적인 NTIS 서비스 운영을 위한 표준운영절차 : NTIS SOP)

  • Choi, Heeseok;Jung, Ock-Nam;Kim, Yun-Jeong;Kim, Tae-Hyun;Lim, ChulSu;Lee, Byeong-Hee;Kim, Jae-Soo
    • Annual Conference of KIPS
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    • 2009.04a
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    • pp.466-468
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    • 2009
  • 국가과학기술종합정보서비스(NTIS: National Science & Technology Information Service)는 국가R&D 사업정보를 한 곳에서 서비스하는 국가R&D 지식포털이다. NTIS의 효율적 기획 및 업무운영 총괄을 위하여 NTIS 표준운영절차(SOP: Standard Operating Procedures) 수립의 필요성이 증대되었다. 본 연구에서는 본 연구에서는 선진이론 모델 및 국내사례를 분석하고, NTIS 구축에 참여한 내부의 환경적 요건과 운용체계 요구사항을 고려하여, NTIS 운용체계에 가장 실무적으로 적합한 NTIS SOP를 수립하였다. 이와 더불어 NTIS 운영주체간 NTIS SOP 정보의 효율적 공유를 위하여 NTIS SOP 공유시스템을 구축함으로써, 업무별 권한별로 NTIS SOP를 공유하고 활용할 수 있도록 하였다.

A Study on the Future Strategy of KREONET through Analysis of Achievement and Future Demand

  • Park, Seongjin;Noh, Minki;Kim, Seunghae;Kwon, Woochang;Park, Chanjin;Cho, Buseung
    • Journal of Information Science Theory and Practice
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    • v.10 no.spc
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    • pp.154-163
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    • 2022
  • The purpose of this paper is to illuminate the role and importance of National Research & Education Network (NREN) in the national research and education field and to establish the future strategy of KREONET in Korea. To this end, we first carefully analyze the footsteps of NREN in major overseas countries, KREONET achievements, and future demand for KREONET. The history of NREN's development is divided into the 2000s, 2010s, and present by era, and classified into network infrastructure, network service, and next-generation network technology by subject. KREONET achievements are divided into advanced research support, network backbone and operation, and network service. Future demand analysis of users who use KREONET was conducted through Korea Research International Incorporation, a survey company. This paper presents the future development strategy of KREONET by analyzing KREONET achievements and future demand.