침몰선박의 관리를 위한 위해도 기반의 정보시스템 개발
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최혁진 | - |
dc.contributor.author | 김홍태 | - |
dc.contributor.author | 이승현 | - |
dc.contributor.author | 강창구 | - |
dc.contributor.author | 유재문 | - |
dc.date.accessioned | 2021-12-08T23:41:04Z | - |
dc.date.available | 2021-12-08T23:41:04Z | - |
dc.date.issued | 20050623 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/6923 | - |
dc.description.abstract | Risk assessment of sunken ships is necessary since they continuously have possibility for further oil spill or can cause other marine accidents. The objective of this paper is to develop the Risk-based Information Systems for Sunken Ships (RISSS) to prevent oil spill and further marine causalities in order to preserve safe and clean oceans around Korean peninsula. The RISSS is a decision support system that supports systematic management of sunken ships to identify the risk factors of sunken ships and measure the frequency and the consequence of unwanted event. The RISSS comprise of database management sub-system for sunken ships, qualitative risk assessment sub-system, quantitative risk assessment sub-system, and cost-benefit analysis subsystem. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | 침몰선박의 관리를 위한 위해도 기반의 정보시스템 개발 | - |
dc.title.alternative | Development of Risk-based Information Systems for Management of Sunken Ships | - |
dc.type | Conference | - |
dc.citation.title | International Offshore and Polar Engineering Conference & Exhibition 2005 | - |
dc.citation.volume | Vol. | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 260 | - |
dc.citation.endPage | 267 | - |
dc.citation.conferenceName | International Offshore and Polar Engineering Conference & Exhibition 2005 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(34103) 대전광역시 유성구 유성대로1312번길 32042-866-3114
COPYRIGHT 2021 BY KOREA RESEARCH INSTITUTE OF SHIPS & OCEAN ENGINEERING. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.