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가상 BIT 캠퍼스 구축을 위한 연구동향 (Environmental sciences 분야 ) 서울대학교 생명과학부 천종식.

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Presentation on theme: "가상 BIT 캠퍼스 구축을 위한 연구동향 (Environmental sciences 분야 ) 서울대학교 생명과학부 천종식."— Presentation transcript:

1 가상 BIT 캠퍼스 구축을 위한 연구동향 (Environmental sciences 분야 ) 서울대학교 생명과학부 천종식

2 Virtual Laboratory  A heterogeneous, distributed problem solving environment that enables a group of researchers located around the world to work together on a common set of projects.  As with any other laboratory, the tools and techniques are specific to the domain of the research, but the basic infrastructure requirements are shared across disciplines.

3 Component for virtual laboratory  Computer servers capable of handling very large scale simulations and data reductions.  Data bases that contain application specific information such as simulation initial and boundary condition, experimental observations, customer requirements, manufacturing constraints, as well as distributed, application specific resources such as the human genome repositories. (These data bases are both dynamic and distributed. They can also be very large.)  Scientific instruments that are connected to the network. (For example, satellite data, ground motion and air quality sensors, astronomical instruments such as the distributed radio astronomy facilities run by the National Radio Astronomy Observatory.)

4 Component for virtual laboratory  Software assets oSimulation, data analysis, discovery and reduction, and visualization. oStandalone software  networkable software  Network oLow latency oMulticast protocols for widely distributed system oInformation streams in these experiments might combine voice, video, real-time data streams from instruments, and large bursts of data from simulations and visualization sources.

5 Component for virtual laboratory High performance computer server 1 Database All resources Scientific instruments 1 Software Simulation Analysis Data mining Visualization High performance computer server N Scientific instruments K Researcher 1 Researcher 2 Student 1

6 Weather forecasting system ( 예 ) High performance computer server 1 Database All resources 위성사진자료 Software Simulation Analysis Data mining Visualization Researcher 1 Researcher 2 Student 1 지상관측자료 Realtime processing 기상청 기후 관련 산업체 해류관련자료 기타관련자료

7 Virtual Lab. 의 예

8 Virtual Lab in Geology (California State University, LA) http://vcourseware5.calstatela.edu/  Education for college and high school students  Supported by NSF

9 Virtual Lab in Geology (California State University, LA)

10 Cooperative Institute for Research in the Atmosphere  Interesting sets of digital satellite images to educational institutions, professional forecasters and research scientists  Supported by NOAA http://www.cira.colostate.edu/ramm/vlab/VIRLABHP.HTM

11 Cooperative Institute for Research in the Atmosphere

12 A Coral Reef Virtual Laboratory (CoRViL)  A joint venture of the National Oceanic and Atmospheric Administration (NOAA), the Great Barrier Reef Marine Park Authority (GBRMPA), and the Australian Institute of Marine Science (AIMS)  An automated, cooperative exchange of electronic data, computer processing power and remote sensing tools for the purpose of monitoring the coral reef environment on the Great Barrier Reef http://coral.aoml.noaa.gov/corvil/

13 A Coral Reef Virtual Laboratory (CoRViL) http://coral.aoml.noaa.gov/corvil/  Remote sensing of sea surface temperature (SST) to predict coral breaching

14 A Coral Reef Virtual Laboratory (CoRViL) http://coral.aoml.noaa.gov/corvil/

15 A Coral Reef Virtual Laboratory (CoRViL) http://coral.aoml.noaa.gov/corvil/

16 서울대 최재천 교수 연구실

17 Ribosomal Database Project (Michigan State University)  Ribosomal RNA gene oA key for microbial taxonomy, ecology and environmental sciences oLarge data available (> 60,000) oAn integrated DB with other data (strain, nomenclature) oMany analysis tools are available Sequencing RFLP T-RFLP Oligonucleotide probe (in situ detection) http://rdp.cme.msu.edu/html/index.html

18 Ribosomal Database Project (Michigan State University) http://rdp.cme.msu.edu/html/index.html

19 Ribosomal Database Project (Michigan State University) http://rdp.cme.msu.edu/html/index.html

20 Ribosomal Database Project (Michigan State University) http://rdp.cme.msu.edu/html/index.html

21 Ribosomal Database Project (Michigan State University) http://rdp.cme.msu.edu/html/index.html

22 Ribosomal Database Project (Michigan State University) http://rdp.cme.msu.edu/html/index.html

23 Ribosomal Database Project (Michigan State University) http://rdp.cme.msu.edu/html/index.html

24 Ribosomal Database Project (Michigan State University) http://rdp.cme.msu.edu/html/index.html

25 Virtual Lab. For Ribosomal RNA based environmental microbiology DB rRNA Sequence Environmental Data Geographical Data Microbiological Data Researcher (s) Student (s) Analysis Sequence alignment Phylogenetic Treeing Identification Simulation Data mining 환경 자료 문헌 자료 기타 실험자료 From other DB On site instruments Data submission Job request Results SQL Server Demon Client

26 Concluding remarks  환경과학분야의 경우 on site instruments 와 연계가 필요함  Realtime data acquisition  Wireless connection  다양한 discipline 의 연구실이 융합된 virtual lab. 의 개발이 필요함  예, 미생물 생태학, geobiochemistry, 기상학 등


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