CAS, CNIC, eScience, and Avian Influenza

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CAS, CNIC, e-Science, and Avian Influenza

• Dr. YAN, Baoping
• Computer Network Information Center
• Chinese Academy of Sciences (CAS)
• Beijing

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Chinese Academy of Sciences
? Founded Nov. 1, 1949 ? Highest academic
institution in natural sciences in China ? Most
comprehensive RD center in natural sciences and
high-tech development ? Highest national advisory
body in ST
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Mission

• Target national strategic needs world frontiers
  of science
• Carry out basic and strategic research to solve
  ST issues
• Play a key role in the national knowledge
  innovation system
• Train first-class ST talents
• Provide scientific bases and tech-innovation
  sources
• Serve as a national think-tank

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Research Development

• 44,000 staff 13,000 senior, 30,000 other ST
  professionals
• 30,000 visiting scholars, post-docs, and
  graduates
• 12 branches, 89 institutes, 9 supporting
  institutes
• Graduate School and University of ST of China
• CAS Holdings 10 major companies, 490 others

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Distribution of Institutes
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Priorities in Resources and Environment

• Basic theory and key tech for oil, gas and mines
• Lithosphere evolution
• Qinghai-Tibetan Plateau
• Geo-engineering technologies
• Water resources
• Coastal marine ecosystems
• Deep sea environment and life processes
• Asian monsoon

• Earth system modeling
• Ecosystem functions
• Biodiversity
• Lake pollution and remediation
• Environment and health
• Environmental effects of key engineering
• Remote sensing monitoring of resources and
  environment
• Global change

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• CNIC Computer Information Network Center

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CAS Informatization Program (2001-2005)
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Nodes of CSTNET(gt200 million domain names)
YANGBAJING
HONG KONG
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Supercomputing Facilities

• Lenovo DeepComp 6800

Peak 5.3TeraFLOPS HPL 4.2 TeraFLOPS Rank in
TOP500 14 (2003) Number of nodes 265 (59 nodes
for SDB) Number of processors 1060 Processor
Itanium 2, 1.3 GHz Memory 2.6 TBytes Storage 80
TBytes Network Quadrics QSnet OS Red hat AS
2.1 Installation December, 2003
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Long-term climate simulation
95?1?08?850hpa????,???????????,?????????? (???????
?????????)
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Scientific Databases (SDB)

• 45 institutions across 16 cities
• 503 databases
• 16.6TB total
• Many disciplines

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• e-Science

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Why e-Science?

• Challenges in modern science research
• Science problems are more complex than ever
• Science research object is not isolated, but
  cross-discipline and large-scale
• Science data processing, simulation and computing
  become indispensable methods
• Scientific researchers need more and more
  communication, collaboration, coordination among
  them closer than ever

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Elements of e-Science

• e-Science environment Cyber-infrastructure and
  scientific research facility based on IT
• New scientific research model e-science work
  flow
• New organization model v-Lab
• New tech software grid, web service, security
• IT-enabled researcher e-scientist
• Pilot e-Science projects applications

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e-Science Virtual Lab

• Virtual Lab
• special meanings in the e-Science context
• the key position in our e-Science framework
• the core component to make e-Science a reality

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e-Science Activities

• 2000-- Informatization for Research
  Environment based on the SDB (Scientific Data
  Base) project
• 2001-- started Informatization Program in the
  10th Five-year Plan (2001-2005), and e-Science as
  one of two goals 350 mil. RMB, 43.7M
• 2006-- Informatization Program in 11th
  Five-year Plan (2006-2010) is started,
  e-Science
• is the kernel 350 mil. RMB, 43.7M

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Last Mile for Networking - Web Camera ,
Woolun, Sep. 2004 - Cosmic Ray on
line, YBJ, March,2005 - Wild Bird
Remote Monitoring Sys, Qing Haihu
lake, April, 2006 -
Telescope networking, Nan Shan,
June, 2006

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1. Web- Camera in Panda Cam
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2.Cosmic Ray Observatories in YBJ, Tibet---
ARGO, ASr
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3,VLBI
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China -Japan Collaboration for VLBI

• The first China-Japan VLBI experiment was
  performed with Shanghai-Kashima Baseline in Sep.
  1985
• Kashima is one of the most precisely determined
  positions in Japan used as the reference point
  to establish Japan Geodetic Datum 2000 (JGD2000)
• Seshan (Shanghai) is the most precisely
  determined position in China
• Chinese Academy of Sciences and NICT are both
  active members of IVS

???? (Urumqi)
IVSInternational VLBI Service for Geodesy and
Astrometry
?? (Kashima)
??(Seshan, Shanghai)
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25meter Radio Telescope, Nanshan observatory,
Xing Jiang Province of CN, connected to Sesan
Via CSTNet by 155bps.
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M A R K 5
CSTNet
Shanghai Observatory
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4, Qienghaihu National Natural Reservation Region
-- Bird Island
Remote Monitoring
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Pilot Applications

• High Energy Physics Grid (Tier1-2, Cosmic Ray
  Platform)
• Avian Bird Flu warming Predicating System
• Virtual Observatory e-VLBI
• Northeast Asia Resource Environment Collaborative
  Research Network
• Global Climate Data Integration
• Eco System Environment Monitoring
• Global Natural Hazards and Disaster Reduction

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• Avian Influenza

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Qienghaihu National Natural Reservation Region
Qinghai, the Northwest of China,

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Identification of virus from Qinghai Lake

• Isolation and identification of virus
• Test of antibodies in migratory birds
• Animal tests
• Sequencing and genetic analysis of virus gene

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Avian influenza comprehensive information system
in China

• Institute of Microbiology
• Institute of Zoology
• Wuhan Institute of Virology
• Computer Network Information Center

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Project objectives

• Development of data standards and metadata
• Integration of avian-flu databases
• Epidemiological and ecological investigation
• Bioinformatics analysis platform
• Warning and prediction system
• Cooperative scientific research environment
• Information sharing system

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Key points of the avian influenza project

• Common data standards
• Centralize and integrate avian-flu data and wild
  bird data together
• One team for ecological investigations
• Active applications based on the common data
  standards and centralized DBs
• Easy-to-use cooperative research environment
• One information sharing portal

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Networked Surveilliance System

• Networked Bird Surveilliance System
• In 2005, a large scale avian flu break out at
  bird island, Qinghai Lake.
• The Chinese Academy of Sciences and Qinghai
  Provincial Forestry Bureau have signed an
  agreement to join hands carrying out research on
  wildlife protection at the Qinghai Lake beginning
  April.

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Networked Surveilliance System

• The cooperation will begin from the surveillance
  and control of possible bird flu virus at the
  Bird Island, an important habitat for migrant
  birds
• Surveillance equipment will be upgraded in April
  and a database and a laboratory will be set up to
  monitor the migrant birds and possible bird flu
  virus
• The cooperation will then extend to surveillance
  of the diseases of wild animals and the
  protection of wild animals

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RFID

• Used for identifying and tracking the bird.
• The Reader is ready and the tag is modeling.
• Have tested on bird island, Qinghai Lake in July,
  2006
• May be deployed at the begin of next year.

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Tag
Reader
Architecture
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Qinghai Lake National Reserve Portal

• CNIC help Qinghai Lake national reserve to
  construct a portal to introduce Qinghai Lake,
  disseminate science, attract tourist
• http//www.qinghailake.cn
• http//www.niaodao.cn

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Qinghai Lake National Nature Reserve
-- Bird Island Remote
Monitoring
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AI warning and prediction system-- spread model
High possibility of outbreak
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Qinghai Lake Nature Reserve - CAS Joint Science
Center
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Summary

• Future scientific researches and scientific
  applications need much more new and useful
  environment, tools and models
• e-Science or science researches through cyber-
  infrastructure will be one of the main goals of
  CAS in this five years
• e-Science need more international collaborations
  on cyberinfrastructure and e-Science applications
  
• Merging scientific domain and IT, not only in IT
  technology and scientific knowledge, but also in
  human, e.g. e-scientist

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• But, we have to face
• the gaps between new and old conceptions on the
  scientific
• research
• the gaps between IT engineers and domain
  researchers
• new technologies and policies
• new model for e-science
• e-scientist training.
• So, the best way for e-science in CAS should
  be
• step by step, case by case,
• Project by project
• and worldwide cooperation !