• Magazine of the Korean Society of Hazard Mitigation
• /
• v.4 no.2 s.13
• /
• pp.6-20
• /
• 2004

• Journal of Korean Society of societal Security
• /
• v.4 no.1
• /
• pp.3-9
• /
• 2011

• Journal of Korean Society of societal Security
• /
• v.4 no.1
• /
• pp.10-13
• /
• 2011

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
• /
• 2001.11a
• /
• pp.155-161
• /
• 2001

• Korean Architects
• /
• s.602
• /
• pp.34-39
• /
• 2019

• Magazine of the Korean Society of Agricultural Engineers
• /
• v.65 no.3
• /
• pp.54-60
• /
• 2023

• Water for future
• /
• v.56 no.6
• /
• pp.18-27
• /
• 2023

• Journal of Korea Entertainment Industry Association
• /
• v.5 no.4
• /
• pp.147-153
• /
• 2011

On 11 March 2011, earthquake occurred in Japan were left with the significant human and material damage. Among these, social media has emerged as a very useful communication channel by playing a important roles in the process of safety checking and disaster recovery. In fact, however, we have no specific response methods or systems to these occurrence of disaster in Korea. Therefore, we investigate the relevant literature in order to analyze the current status of foreign and domestic utilization of social media, and draw the ideal ways to use social media for responding to unpredictable disasters based on the relevant literature reviews. The results of this study are summarized as follows. First, Institutions such as Meteorological Administration or National Emergency Management Agency are able to utilize social media as the communication systems to public in emergency. Second, social media are able to used for building disaster information systems including location information such as emergency call for help or requests for dissemination materials. Lastly, online donation services via Facebook or Twitter are able to be provided. The findings have significant implications for official responsible for disaster response and academic researchers.

• Proceedings of the Korean Information Science Society Conference
• /
• 2010.06c
• /
• pp.380-384
• /
• 2010

기후온난화, 국지성 호우 및 대규모 태풍으로 인한 피해가 증대되면서 사회 경제적 손실 또한 날로 증가하고 있어 재해로 인한 피해 발생가능성을 효율적으로 예측하는 모델을 통한 선제적 대응이 필요하다. 재난 재해의 위험성 분석 방법은 주로 확률 통계기법을 기반으로 하는 연구가 주류를 이루었으나, 본 논문에서는 포착된 현상의 데이터를 이용해 그 데이터를 지배하는 경험적 규칙성을 학습하고 획득하는데 다른 기법보다 탁월한 성능을 가진 신경망 모델을 적용하여 자연재해 피해예측 모델을 연구하였다. 1991년부터 2005년 사이에 우리나라에서 발생한 자연재해의 피해자료와 기상개황 자료를 이용하여 지역별 자연재해로 인한 피해를 예측하는 신경망 모델은 우리나라 232개 행정구역에 대하여 누적강우량과 최대풍속, 그리고 재해사상 발생 5일 이내의 선행강우량을 입력변수로 하고 총 피해액을 출력변수로 한다. 또한 학습을 통한 최적의 해를 찾기 위해 신경망의 매개변수 학습률, 모멘텀, 편의값을 유전자알고리즘으로 결정하여 학습을 수행 하였다.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.17 no.1
• /
• pp.144-158
• /
• 2014

This research presented a conceptual design of damage assessment inventory for efficient response to natural disaster damage of infrastructure close to the river. It consists of classification and categorization of facilities for accomplishing the conceptual design of inventory for damage of infrastructure close to the river. However, there are arising problems of efficient management on disaster, such as poor management of data facilities and constructions which is managed by the different types of government departments. Therefore, this research presented conceptual models of damage assessment inventory on risks of damage infrastructure close to the river using the United states' HAZUS-MH to analyze damage facilities, type of asset classification, classification of domestic facilities and guidelines for computing the value of assets. Conceptual models of inventory this research presented is to be used on the data for damage response on protected inland damage assessment and to increase efficiency for evaluating detailed damage amount of private property by natural disaster and to establish a restoration plan.