• Journal of Construction Engineering and Project Management
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• v.1 no.3
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• pp.45-51
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• 2011

During disaster response, prioritization of limited resources is one of the most important but challenging tasks. At the same time, it is imperative to timely provide to the rescuers with the adequate heavy equipment to facilitate lifesaving operations. However, supply of high demand equipment is usually insufficient during the initial phase of disaster response, challenging lifesaving operations. At the same time, resources outside of the disaster affected zone converge into the area to assist the response efforts, which is the effect of convergence that often made resource coordination challenging in large scale disasters. Meanwhile, the initial condition of the disaster is usually best known by civilians already at the area before and during impact of the disaster. The knowledge of the civilians is not always received and considered by the responding organizations. With the help of these civilians, critical information such as victim location, infrastructure damage, and risk condition could be better know before any response actions are taken. To efficiently collect information and utilize the converging resources, this paper proposes a geospatial information repository for initial condition reporting and update to guide search and rescue operations and deployment of equipment with safety considerations for the rescuers in large scale disaster response scenarios.

• Journal of the Society of Disaster Information
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• v.14 no.4
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• pp.474-479
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• 2018

Purpose: This study focus on the disaster response process in the disaster field manuals. The process reflects the several kinds of disaster situation scenarios under the defined disaster types. Method: Firstly we defined the situation concept from the emergency types. And then, we makes each disaster response process based on the situations. Results: There are several kinds of the disaster response process in a disaster fields manuals. The most of the process has the duplicated SOP's among the situation types. In this paper, we developed the situation code sand then apply the codes to the process. As a result of the work, we defined one the disaster response process which includes the situational code in the each SOP. Conclusion: This study developed the several kinds of the disaster response process based on the disaster situation types. It makes that we can easily respond to the disaster.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.1
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• pp.13-23
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• 2014

The Korea had been known as a safe region in volcanic disaster. However, precursor phenomena for volcanic eruption in mountain Baekdu have been frequently reported in these days. Therefore, the number of volcano experts, who warn the volcanic eruption in the Korean peninsula, has been increased. This paper describes the plan for developing volcanic disaster response system for mountain Baekdu. First, disaster prevention business system of National Emergency Management Agency(NEMA) and related IT-based systems are analyzed. Second, business processes for volcanic disaster response are derived based on the business system. Third, The system architectures are designed referred to related disaster response system, and required spatial information is investigated. Finally, we implement the pilot system to test the suggested volcanic disaster response system. Applying suggested volcanic disaster response system to NEMA, additional test and system supplementation should be carried out. We expect that the complete volcanic disaster response system, which will be implemented based on this research, will minimize the volcanic disaster damage in the area of Korea, China, and Japan.

• Journal of Internet Computing and Services
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• v.18 no.5
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• pp.69-77
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• 2017

In this paper, a disaster response scheme based on deep learning and augmented reality technology is proposed and a network resource reservation scheme is presented accordingly. The features of deep learning, augmented reality technology and its relevance to the disaster areas are explained. Deep learning technology can be used to accurately recognize disaster situations and to implement related disaster information as augmented reality, and to enhance disaster response capabilities by providing disaster response On-site disaster response agent, ICS (Incident Command System) and MCS (Multi-agency Coordination Systems). In the case of various disasters, the fire situation is focused on and it is proposed that a plan to strengthen disaster response capability effectively by providing fire situation recognition based on deep learning and augmented reality information. Finally, a scheme to secure network resources to utilize the disaster response method of this paper is proposed.

• Journal of Korean Society of Disaster and Security
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• v.7 no.2
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• pp.35-41
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• 2014

If a disaster occurs in the underground like subway, disaster response system should minimize the casualties. It must quickly guide passengers to a safe evacuation route. But sometimes the system does not work properly. And then they need distributed disaster response system which make decision autonomously. We perform conceptual research about distributed autonomous decision-making disaster detection and response system and disaster detection method.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.290-295
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• 2023

The global warming by greenhouse gases causes climate change and disasters such as earthquakes and tsunamis frequently, leading to great damage. It is important to build efficient and scalable disaster response services to minimize the damage. Existing disaster warning service by the mobile text is limited by the scalability and the data size to be delivered. In this paper, we propose a framework for disaster response services that is efficient and flexible by allowing to adopt various indexing schemes and scalable by supporting any number of clients in disaster situations anytime and anywhere. Also, the framework by wireless data broadcast can be free from the limitation of the size of data to be delivered. We design and implement the proposed framework and evaluate the framework. For the evaluation, we simulate the implemented framework by adopting various indexing schemes like HCI, DSI and TTSI, and by comparing the access times of the clients. Through the evaluation, we show that the proposed framework can provide efficient and scalable and flexible disaster response services.

• Journal of the Korea Society of Computer and Information
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• v.24 no.9
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• pp.109-117
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• 2019

This study was attempted to provide fundamental data in a disaster response education program by comparing the differences between students of the paramedic and nursing in ego-resilience, disaster-experience and core competencies of disaster response. The data is collected from March 2 to April 2, 2019, on a total of 358 students (196 paramedic students and 162 nursing students) based in Jeolla Province. The structured questionnaire were used as research tools and the collected data were analyzed by using the SPSS program as frequency, percentage, t-test, ANOVA and Pearson's correlation coefficient. The average score of total ego-resilience among the subjects was 86.97 out of 125 points. The number of paramedic students who experienced or witnessed the disaster situation in person was 11.2%, and the number of nursing students was 11.7%. The core competence of disaster response was 3.21% in paramedic students and 3.16% in nursing students. The ego-resilience of the paramedic and nursing students according to their general characteristics is statistically significant differences (t=2.797, p<.005) and the paramedic students has an average score of 3.52 points, which is higher than the nursing students (3.42 points). General characteristics and experience in disasters are statistically significant differences (t=2.797, p<.005), paramedic students had more disaster experiences (3.11 points) than nursing students (2.67 points). It indicated the static correlation relationship between ego-resilience, disaster experience and core competences of disaster response (p<.000). Through this study, the paramedic students were found to be more ego-resilience, more disaster experience and more critical capacity for disaster treatment than nursing students.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.314-317
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• 2022

This study was attempted to understand the relationship between disaster awareness, disaster attitude, and disaster response ability of the general public, and to be used as basic data to raise awareness of disasters and prepare countermeasures. This study was conducted from July 16 to July 31, 2021 for a total of 250 ordinary people living in K-do and D metropolitan cities. As a result of this study, it was found that it had an effect between disaster awareness, disaster attitude, and disaster response ability. Specifically, it was found that the general public's awareness of disaster had a significant effect on disaster attitude (necessity for disaster preparation, disaster management) (p<.001). In addition, among the sub-factors of disaster attitude, disaster management was found to have a significant effect on disaster response ability (p< .01). Therefore, specific and periodic education should be prepared to increase the ability to cope with disasters by increasing the general public's awareness of disasters.

• Journal of Korean Society of Disaster and Security
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• v.17 no.1
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• pp.17-25
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• 2024

Recent climate change has led to an increase in the probability of forest disasters (forest fires, landslides). However, disaster systems providing information for forest disaster response lack unified information provision. Therefore, this study aims to provide essential disaster information from a unified system for swift disaster response. To achieve this goal, we conducted a fundamental study on the necessary components for designing a forest disaster platform, explored methods for visualizing platforms enabling swift response and information provision during forest disasters through case studies, and presented the findings. Our results indicate that both domestic and international forest disaster response platforms commonly utilize spatial information to provide location-specific information. Key components identified for designing a response platform for forest disasters include constructing forest disaster big data, including climate information for target areas, developing technology for integrated diagnosis of forest disasters at each stage, and designing tailored safety care services for disaster areas.

• Journal of the Korea institute for structural maintenance and inspection
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• v.21 no.3
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• pp.45-53
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• 2017

Hybrid disaster refers to a type of unexpectedly large-scale disaster that results from continuous or simultaneous occurrence of natural and social disasters. Since hybrid disaster is a completely new type of disaster that has simultaneity and continuity, it requires a different management method compared to the conventional disaster management method. Accordingly, this study suggested policy directions for hybrid disaster response system of Korea after reviewing hybrid disaster response systems in developed foreign nations.