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공공누리This item is licensed Korea Open Government License

dc.date.accessioned
2018-11-02T04:57:08Z
dc.date.available
2018-11-02T04:57:08Z
dc.date.issued
2017-12
dc.identifier.other
EE1305
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/11432
dc.identifier.uri
http://www.ndsl.kr/ndsl/search/detail/report/reportSearchResultDetail.do?cn=TRKO201800002486
dc.description
funder : 과학기술정보통신부
dc.description
funder : Ministry of Science and ICT
dc.description.abstract
□ 풍수해 예측 모델링 및 시뮬레이션 기술 개발
o 가속기 및 자료동화 기법 기반 고해상도 앙상블 모델링을 통한 예측자료 생산
o 태풍진로(강도), 해일, 범람 예측을 위한 모델 개발

□ 풍수해 예측 정보 연계 및 분석 기술 개발
o 기상-해양-수문모델 연계해석 및 기법 개발
o 지구환경변화 자료분석을 위한 3차원 가시화 도구(VAPOR) 기능강화연구 및 기술보급

□ 재난·재해 관련 지식 탐지 기반 기술 개발
o 분산 딥러닝 기반 지식탐지 플랫폼 및 단기 재난 예측 알고리듬 개발
o 빅데이터 기반 재난 유형 독립 운영 피해 예측 알고리듬 및 시스템 개발

□ 예측 시스템 및 재난정보 통합 시스템 패키지화를 통한 DMSS 개발
o 재난정보 관리 시스템 고도화를 통한 풍수해 정보 공유 및 활용 체계 구축
o 임진강 유역 작전기상 의사결정지원 시범 서비스 개발 및 운영

□ 효율적인 의사결정지원을 위한 풍수해 및 복합재난 가시화 기술 개발
o 재난정보 빅데이터 멀티플랫폼 실감 가시화 기술 개발
o 증강현실 기반 복합재난 가시화 기술 개발

(출처 : 보고서 초록 3p)
dc.description.abstract
Ⅱ. Objective of the study and its importance

A. Purpose
◦ Utilization of future prediction techniques as a combination of scientific knowledge and cutting-edge technologies with HPC infrastructure which is a core for advanced IT technologies
◦ Construction of a decision making support system for national risk management to synthetically collect, produce, and analyze various information necessary to mitigate danger/damage of disasters

B. Necessity
◦ Needs of an extended public and private service utilizing HPC and a support to promote service industries
- Necessary activities to support safe and reliable life from various natural disasters by enhancing national disaster management system
◦ Enacting 「Law of utilization and promotion of national HPC」and establishing fundamental plans for the law

Ⅲ. Content and scope of the study
○ Development of Modeling/Simulation/Visualization system for atmosphere-ocean-water related disasters
- Improvement of accuracy and efficiency for HPC based typhoon numerical prediction model
- Construction of a HPC-based multi model ensemble and data assimilation system for the prediction of typhoon and heavy rain
- Improvement of visualization technology and diffusion of visualization system through the technological support and public relations
○ Development of knowledge detection system responding to the disaster information
- Development of knowledge detection algorithm and platform based on the distributed deep learning
- Development of big data-based operational damage prediction algorithm and system by disaster type
- Development of deep learning-based short-term disaster prediction system using satellite image and sensor data
○ Development of KISTI Decision Making Support System(K-DMSS 3.0) responding to typhoon-induced disaster
- Development of visualization technology to support efficient decision making responding to disaster
- Construction of sharing and utilization system of disaster information by improving disaster information integration system
- Development of K-DMSS through packaging of prediction system and disaster information integration system

(출처 : SUMMARY 10p)
dc.publisher
한국과학기술정보연구원
dc.publisher
Korea Institute of Science and Technology Information
dc.title
초고성능컴퓨팅 기반 국가현안 대응체계 구축
dc.title.alternative
Construction of a HPC-based Service Infrastructure Responding to National Scale Disasters
dc.identifier.doi
10.23000/TRKO201800002486
dc.identifier.localId
TRKO201800002486
dc.identifier.url
http://www.ndsl.kr/ndsl/commons/util/ndslOriginalView.do?dbt=TRKO&cn=TRKO201800002486
dc.subject.keyword
재해
dc.subject.keyword
재난
dc.subject.keyword
슈퍼컴퓨팅
dc.subject.keyword
의사결정지원시스템
dc.subject.keyword
재난 정보
dc.subject.keyword
지식탐지
dc.subject.keyword
피해예측
dc.subject.keyword
워크플로우
dc.subject.keyword
시나리오
dc.subject.keyword
통합 프레임워크
dc.subject.keyword
National security
dc.subject.keyword
disaster management
dc.subject.keyword
high performance computing
dc.subject.keyword
scientific visualization
dc.subject.keyword
decision making support system
dc.type.local
4단계보고서
dc.identifier.koi
KISTI2.1015/RPT.TRKO201800002486
Appears in Collections:
7. KISTI 연구성과 > 연구보고서 > 2017
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