• Proceedings of the Korean Geotechical Society Conference
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• 2010.03a
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• pp.927-932
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• 2010

This study made a nationwide metropolitan region map on the basis of disaster vulnerability and administrative boundary, and based on it, it divided small-sized regions and constructed disaster history of each region. For the disaster vulnerability, the study wrote slope, aspect, curvature, wetness index, and drainage density, compared and analyzed regions with disaster and geomorphic elements to distinct the factor with high correlations, and based on it, it divided small-sized regions for forecasting and warning system of middle regions(Gangwon province, Chungchung province, and Jeolla province). Through the method, Gangwon region were divided into 4 small-sized regions, Chungchung into 5 small-sized regions, and Jeolla into 6 small-sized regions.

• Journal of the Society of Disaster Information
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• v.6 no.2
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• pp.87-106
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• 2010

This research focused on the effect of the GIS, uIT, and RS based smart disaster systems. Ubiquitous IT strongly involved in intelligent analysis for the natural disasters. Remote sensing technologies, such as hyper-spectral imaging, MODIS, LiDAR, Radar, and optical imaging processes, can contribute many means of investigation for the natural and unnatural problems in the atmosphere, hydrosphere, and lithosphere. Recent IT trends guides abundant smart solutions, such as automatic sensing using USN, RFID, and wireless communication devices. Smart monitoring systems using intelligent LBSs will produce many ways of checking, processes, and controls for the human safeties. In results, u-smart GIS, uIT, and RS based disaster systems must be using ubiquitous IT involved smart systems using intelligent GIS methods.

• Journal of the Society of Disaster Information
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• v.6 no.1
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• pp.62-76
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• 2010

Constructions of skyscrapers have been planned and are being performed in Korea, but the research on disaster preparedness and response is mainly focused on construction safety, fire prevention and response, and legal enforcement. So research on physical and psychological effect on human residents, methodology of increased survival rate and decreased disability rate is insufficient. Authors intended to identify the characteristics of skyscraper on human health and safety in disaster, to examine the basic influence of skyscraper on physical and psychological health and the way to decrease the negative effect on human survival.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.266-267
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• 2021

Recently, the COVID-19 Pandemic is not an infectious disease-level disaster, but a complex disaster, making it difficult to respond with traditional disaster response management methods. As a result, experiencing psychological stress and trauma such as COVID-19 has emerged as a new social problem. In preemptively predicting and effectively responding to these psychological disasters and crises, the necessity and direction of non-face-to-face disaster psychological support using ICT technology in traditional services are discussed.

• Journal of the Society of Disaster Information
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• v.9 no.2
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• pp.153-163
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• 2013

The damage caused by natural and human disasters has been increasing year by year. While the damage from these disasters are unavoidable, reduction of damage level by proper establishment of control measures could be sufficiently achievable. Disaster prevention resources include resources introduced in the event of disaster, such as human, materials, equipments and facilities. Rapid yet proper inputs of these resources are the key factor to minimize any damages from the disaster. Currently, however, the standard and/or criteria for mobilization of the disaster prevention resources have not yet systematically established. Therefore, proper resource management as well as efficient resource input has not been in place. This research is an early stage construction of efficient mobilization resources, which had been irregularly loaded and applied before. Also this study has tried to provide a classification rule for efficient disaster prevention resource management and mobilization, and indeed, provide a foundation for efficient resource management system.

• 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.

• The Korean Journal of Emergency Medical Services
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• v.27 no.1
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• pp.101-111
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• 2023

Purpose: This study aimed to provide basic information for university students to improve disaster preparedness by identifying disaster and safety cognition, safety education perception and identifying factors influencing disaster preparedness. Methods: Selected articles were programmed statistically by SPSS to analyze 162 third and fourth-year students in Chungcheong-do, from December 1, 2022 to December 31, 2022. The general characteristics of the subject with the effect of disaster and safety cognition, safety education perception, and disaster preparedness was analyzed by t-test and ANOVA. Results: Disaster preparedness had a positive correlation with Disaster and safety cognition (r=.499, p<.001) and safety education perception (r=.328, p<.001). Furthermore, the influencing factors on disaster preparedness were sex (β=0.17, p<.011), disaster and safety cognition (β=0.39, p<.001), and 28% was explanatory power. Conclusion: Preparing educational method for strengthening safety and disaster cognition requires improving the disaster preparedness of university students, and a new educational approach to program development to elevate disaster and safety cognition at the university level.

• Disaster Prevention Review
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• v.20 no.1
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• pp.21-27
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• 2018

• Disaster Prevention Review
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• v.19 no.3
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• pp.23-32
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• 2017

• Disaster Prevention Review
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• v.19 no.3
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• pp.33-40
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• 2017