• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.43-57
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• 2017

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.351-353
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• 2017

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.72-98
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• 2017

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.147-180
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• 2017

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.303-304
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• 2017

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.59-60
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• 2023

실시간으로 수집되는 사고 정보를 분석하여 해당 사고에 대한 분석적이고 예측적 서비스를 제공하는 것은 중요하다. 특히 발생이 진행 중인 사고에 대한 원인과 피해에 대한 규모 예측은 대응에 강도를 가늠할 수 있는 체계로 재난 발생에 대한 예측과 발생 초기 재난에 대한 분석을 위하여 뉴스 정보와 국민재난안전포털의 안전관리일일상황 정보를 분석할 필요가 있다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.61-62
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• 2022

자연 재난은 예방보다는 대비에 중점을 가졌다면, 사회 재난은 대부분 인간으로부터 발생되는 재난이기 때문에 예방이 중요한 요소이다. 기존에 발생된 재난 안전 사고를 효과적으로 분석하여, 그 원인에 대한 대책을 마련한다면 재난 안전 사고의 발생을 줄일 수 있을 것이다. 본 연구는 이러한 관점에서 기 발생된 재난에 대한 DB화 하여 이를 기반으로 원인을 분석할 수 있는 기술 개발에 초점을 맞추었다.

• Journal of the Society of Disaster Information
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• v.15 no.3
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• pp.339-346
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• 2019

Purpose: In fact, to manage response and recovery successfully, although mitigation and preparedness should be accomplished naturally and automatically through thorough analysis and assessment, response, recovery, mitigation, and preparedness have not done in the way of virtuous cycles and continued broken disaster management repeatedly. Method: By Analysis through the critical methods, to enhance the community disaster resilience centered by social disaster management system in Korea, Result: (1) public training & education preparing for emergency or disaster (2) supplying public with disaster, or hazards information, and sharing at real time (3) networking emergency and disaster informational communication system & alarm system (4) analysis and assessment of risk(or disaster) in community (5) inter-governmental cooperative relationship and agreements (6) adopting and implementing disaster or hazards mitigation plan Conclusion: These will be able to be fully melt down into and specifically focused in the disaster policies in Korea for the better disaster management.

• Korean Journal of Remote Sensing
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• v.38 no.6_3
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• pp.1749-1760
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• 2022

In modern society, human and social damages caused by natural disasters and frequent disaster accidents have been increased year by year. Prompt access to dangerous disaster sites that are inaccessible or inaccessible using state-of-the-art Earth observation equipment such as satellites, drones, and survey robots, and timely collection and analysis of meaningful disaster information. It can play an important role in protecting people's property and life throughout the entire disaster management cycle, such as responding to disaster sites and establishing mid-to long-term recovery plans. This special issue introduces the National Disaster Management Research Institute (NDMI)'s disaster management technology that utilizes various Earth observation platforms, such as mobile survey vehicles equipped with close-range disaster site survey sensors, drones, and survey robots, as well as satellite technology, which is a tool of remote earth observation. Major research achievements include detection of damage from water disasters using Google Earth Engine, mid- and long-term time series observation, detection of reservoir water bodies using Sentinel-1 Synthetic Aperture Radar (SAR) images and artificial intelligence, analysis of resident movement patterns in case of forest fire disasters, and data analysis of disaster safety research. Efficient integrated management and utilization plan research results are summarized. In addition, research results on scientific investigation activities on the causes of disasters using drones and survey robots during the investigation of inaccessible and dangerous disaster sites were described.

• Journal of the Korean Society of Safety
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• v.33 no.6
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• pp.77-84
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• 2018

Report documents of industrial and occupational accidents have continuously been accumulated in private and public institutes. Amongst others, information on narrative-texts of accidents such as accident processes and risk factors contained in disaster report documents is gaining the useful value for accident analysis. Despite this increasingly potential value of analysis of text information, scientific and algorithmic text analytics for safety management has not been carried out yet. Thus, this study aims to develop data processing and visualization techniques that provide a systematic and structural view of text information contained in a disaster report document so that safety managers can effectively analyze accident risk factors. To this end, the risk factor map using text mining and self-organizing map is developed. Text mining is firstly used to extract risk keywords from disaster report documents and then, the Self-Organizing Map (SOM) algorithm is conducted to visualize the risk factor map based on the similarity of disaster report documents. As a result, it is expected that fruitful text information buried in a myriad of disaster report documents is analyzed, providing risk factors to safety managers.