• Title/Summary/Keyword: 국가 재난

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A Study on the System Improvement for Efficient Management of Large-scale Complex Disaster (대형복합재난의 효율적 관리를 위한 제도개선방안 연구)

  • Kim, Taehoon;Youn, Junhee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.5
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    • pp.176-183
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    • 2018
  • Climate change, rapid urbanization, and population concentration have led to a higher frequency and magnitude of disasters in the world. Recently, the occurrence of large-scale complex disasters, which are caused by a combination of natural disasters, man-made disasters, and social disasters, is increasing. In Korea, there are many case studies of damage prediction and response technology development for individual natural disasters, such as earthquakes, floods, and typhoons. On the other hand, the system basis for the efficient response and management of large-scale complex disasters is insufficient. Therefore, this study examined the representative cases of natural, social disasters, and related cases of domestic disaster response management systems. In addition, this paper proposes ways to improve the legal system for complex disaster management policies and establish a cooperation system between the ministries for an efficient response.

A Deep Learning Model for Disaster Alerts Classification

  • Park, Soonwook;Jun, Hyeyoon;Kim, Yoonsoo;Lee, Soowon
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.12
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    • pp.1-9
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    • 2021
  • Disaster alerts are text messages sent by government to people in the area in the event of a disaster. Since the number of disaster alerts has increased, the number of people who block disaster alerts is increasing as many unnecessary disaster alerts are being received. To solve this problem, this study proposes a deep learning model that automatically classifies disaster alerts by disaster type, and allows only necessary disaster alerts to be received according to the recipient. The proposed model embeds disaster alerts via KoBERT and classifies them by disaster type with LSTM. As a result of classifying disaster alerts using 3 combinations of parts of speech: [Noun], [Noun + Adjective + Verb] and [All parts], and 4 classification models: Proposed model, Keyword classification, Word2Vec + 1D-CNN and KoBERT + FFNN, the proposed model achieved the highest performance with 0.988954 accuracy.

A Study on the Development of Korean Inventory for the Multi-Hazard Risk Assessment -Based on Earthquake Damage Analysis (복합재난 손실 평가를 위한 한국형 인벤토리 구축 방안 연구 -지진재해 손실 평가를 중심으로)

  • Chai, Su-Seong;Shin, Su-mi;Suh, Dongjun
    • Journal of Digital Contents Society
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    • v.18 no.6
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    • pp.1127-1134
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    • 2017
  • The main goal of this study is to develop the system of multi-hazard risk assessment tools based on major inventories and functions. As a first step, designing and building a Korean inventory of the loss assessment was performed due to earthquake disasters. We focused on the special features, taking account of the possibly conflicting features of the various conditions such as different type of formats, environmental differences, and collected data relevant to the use of proposed risk assessment system in terms of constructing the Korean inventory including buildings and population.

An Implementation of Disaster Information System using Service of Internet portal site (인터넷 포털사이트의 서비스를 활용한 재난정보시스템의 구현)

  • Lee, Jung-Ki;Kim, Seong-Hoo;Kim, Chang-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.4
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    • pp.745-751
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    • 2012
  • As disaster number increases, governmental institutions is trying to construct effective disaster information system. Especially, most institutions are using disaster information system based on GIS such as electronic disaster map. However, most previous systems have vulnerability when connecting to the another systems because systems consider only specific area and system is independent data structure. Above all things, existing have to put a lot of time and effort because system need direct work course for service. Therefore, this paper implements quick and methodical disaster information service via study of data code and map, microblog service from internet portal site.

Protocol Design and Received Methods of Emergency Broadcasting System for ATSC Mobile DTV (ATSC Mobile DTV에서 적용 가능한 재난방송 프로토콜 설계 및 수신기법)

  • Yu, Saet-Byeol;Cho, Min-Ju;Hwang, Jun
    • Journal of Internet Computing and Services
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    • v.12 no.6
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    • pp.129-137
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    • 2011
  • In this paper, a fast and reliable emergency broadcasting system for Advanced Television System Committee (ATSC) Mobile DTV is proposed. The proposed protocol is based on the Emergency Alert Message (EAM) standard currently used for cable TV emergency broadcasting in the United States. The protocol is implemented and evaluated to enable fast emergency information propagation. ATSC Mobile DTV enables digital mobile broadcasting without affecting the existing ATSC legacy digital TV system. Since ATSC Mobile DTV devices are mobile and self-powered, they can effectively propagate emergency information. The proposed emergency broadcasting protocol can be applied in all countries adopting the ATSC standard.

Analysis of KSIC of Korea Patent Data in the Field of Disaster & Safety (재난안전분야 국내 특허문헌의 표준산업분류 분석)

  • You, Beom-Jong;Kim, Byungkyu;Shim, Hyoung-Seop
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.541-544
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    • 2022
  • 재난안전분야 연구 및 기술개발을 위한 현황분석 및 동향파악을 위해 연구개발활동의 주요 성과물인 특허정보의 활용은 매우 중요하다. 본 논문에서는 재난안전분야 국내 특허문헌을 대상으로 산업분야별 현황 및 특성을 분석하였다. 분석연구를 위해 재난안전분야 키워드를 포함하고 표준산업분류 매핑이 가능한 국내 특허정보를 식별하여 데이터셋으로 사용하였다. 분석 결과, 표준산업분류 체계의 산업분야 레벨별 특허 분포 현황 및 출원기관 분포 현황과 산업분야별 핵심 키워드가 자세히 파악되었다. 연구결과는 국가 재난대응을 위한 지능형 위기경보 체계 등을 개발하기 위한 정보 자원으로 활용이 기대되며, 향후 논문, 보고서를 통합한 포괄적인 재난안전분야 문헌 분석 연구가 필요하다.

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A Review of Critical Infrastructure Resilience Study as the Future Area of Geosciences (미래 자원환경지질 분야로서 국가기반시설 리질리언스 연구 동향 분석)

  • Yu, Soon-Young
    • Economic and Environmental Geology
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    • v.44 no.6
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    • pp.533-539
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    • 2011
  • Critical infrastructure resilience has been integrated in critical infrastructure protection in US after Department of Homeland Security recognized that protection, in isolation, is a brittle strategy. Here "resilience" is the system's ability to efficiently reduce both the magnitude and the duration of systemic impacts after hazards, and quantitatively assessed as a resilience cost. The resilience cost is the sum of systemic impacts and recovery efforts, and many case studies on resilience costs show that the recovery effort should be included in resilience assessment. This paper explains how the resilience cost is defined and quantified with a case study.

Precautionary Principle for the Protection of Space Environment against Solar Electromagnetic Storm (우주전파재난과 우주법상의 사전주의 원칙에 관한 연구)

  • Shin, Hong-Kyun
    • The Korean Journal of Air & Space Law and Policy
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    • v.26 no.1
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    • pp.241-269
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    • 2011
  • Solar flare and storm may give an adverse effect upon electromagnetic environment around the Earth, so that various kinds of satellite cease to normally function. This kind of space storm disaster is characterized by the uncertainty about when and what size. Recently the UN has been paying attention to this plausible disaster. Particularly the COPUOS has taken the view that this disaster would threaten the sustainable space environment. The precautionary principle, rooted and excercised in the environment protection filed, has been adopted in the case of disaster with uncertainty. The reports and opinions given by the expert and representatives of the member States have stated that the precautionary principle should be adopted for the purpose of dealing with this disaster. On the other hand, it is advanced that the principle has been already included in the space law principle enshrined in the 1967 Space Treaty. The Treaty has adopted the freedom of navigation and use of the outer space for the interest of all States as the basic principles. Sustainable environment is necessary for implementing the principle. Therefore, the rules for the protection of sustainable space environment should be based upon the space law principle.

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Forest Fire Risk Analysis Using a Grid System Based on Cases of Wildfire Damage in the East Coast of Korean Peninsula (동해안 산불피해 사례기반 격자체계를 활용한 산불위험분석)

  • Kuyoon Kim ;Miran Lee;Chang Jae Kwak;Jihye Han
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.785-798
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    • 2023
  • Recently, forest fires have become frequent due to climate change, and the size of forest fires is also increasing. Forest fires in Korea continue to cause more than 100 ha of forest fire damage every year. It was found that 90% of the large-scale wildfires that occurred in Gangwon-do over the past five years were concentrated in the east coast area. The east coast area has a climate vulnerable to forest fires such as dry air and intermediate wind, and forest conditions of coniferous forests. In this regard, studies related to various forest fire analysis, such as predicting the risk of forest fires and calculating the risk of forest fires, are being promoted. There are many studies related to risk analysis for forest areas in consideration of weather and forest-related factors, but studies that have conducted risk analysis for forest-friendly areas are still insufficient. Management of forest adjacent areas is important for the protection of human life and property. Forest-adjacent houses and facilities are greatly threatened by forest fires. Therefore, in this study, a grid-based forest fire-related disaster risk map was created using factors affected by forest-neighboring areas using national branch numbers, and differences in risk ratings were compared for forest areas and areas adjacent to forests based on Gangneung forest fire cases.

A Study on the Interconnection between National Disaster Management System and Private Disaster Prevention IT Technology through Application (국가재난관리 시스템과 민간 방재IT기술의 지능정보기술 적용 사례고찰을 통한 상호 연계에 관한 연구)

  • Kim, Jaepyo;Kim, Seungcheon
    • Journal of the Korea Convergence Society
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    • v.11 no.8
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    • pp.15-22
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    • 2020
  • In order to strengthen the disaster prevention phase and the management of social disasters, we will examine the plan of To-Be disaster management system interconnected by using intelligent information technologies such as IoT, Cloud, Big Data, Mobile and AI. The disaster management system can be upgraded by constructing an intelligent infrastructure based on Big Data analysis of the disaster signals before and after the disasters generated by private mobile and IoT. Big Data of disaster Signals can be customized to users in a timely manner through AI methodologies of supervised and unsupervised learning and reinforcement training. In the long term, it is expected that not only will the capacity of disaster response be improved, but the management ability centering on prevention will be enhanced as well.