2014 NTIS 입력매뉴얼

비매

Systematical Classification Scheme Management to provide efficient National R&D Service in P2P

It is necessary to systematically classify and manage contents in various fields for systematic management, accurate analysis and efficient service of national R&D information in P2P. However, it is not fully applied to the current national R&D information related services in P2P. This study aims to analyze the NSSTCS (National Standard Science and Technology Classification Scheme) which is a current standard classification system under the national science and technology knowledge information service and classification systems under national R&D project management authorities in P2P, to find schemes for interconnection as a system, and to develop a scheme for history management of each classification or of executing it through a system. Such system-based management for national R&D information classification systems will contribute to facilitating easy management and systematic provision of explosively increasing information in various fields as well as R&D information. It is also expected that this result will contribute to provide significant services which are not provided currently to users in P2P

Management and Maintenance of Scientific and Technical Policy Planning Expert Pool DB

funder : 과학기술부agency : 기초기술연구회o 2006년도 기 구축된 과학기술 정책전문가 인력정보 관리를 위한 DB의 운영 및 시스템 기능 개선, 안정화 o 상세정보를 포함한 과학기술 분야별 전문가의 인력정보 수집, DB구축 및 최신성 유지관리o Running the Pool DB of expert about science and technology which is constructed in 2006 o Management, improvement and maintenance of Science and Technology Expert Management System, which was implemented in 2006 originally o Gathering new information of pre-gathered experts and enlarging the expert pool DB by adding new expert

Fast Distributed and Parallel Pre-processing on Massive Satellite Data Using Grid Computing

The rest of portion is under distributed processing. To ensure independence of distributed processing, each processing program has own working directory. After verification, distributed process environment for pre-processing performance can be improved up to 560.65% from single processing system. Also, file that is stored in NAS storage is moved to local storage during the processing of satellite image data and the processed results are saved into NAS storage. This method is compared with the baseline. Through the results, Conversion of Level-1B file to Level-2 file is CPU bound task, and local storage shows the greater Extensibility