• The Journal of the Convergence on Culture Technology
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• 제6권1호
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• pp.351-359
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• 2020

This study is a descriptive research study to identify the factors of convergence effect of the University of Nursing on Core Competencies on Disaster Nursing by Disaster Perception, Disaster Attitude and Self-Resilience. The Disaster Perception, Disaster Attitude, and practical ability to prepare for the dangers of nursing students are important in that students as future nurses must perform their duties to prepare for the situation at the forefront of disaster. The most influential factor in Core Competencies on Disaster Nursing was Self-Resiliency, which was identified in order of disaster-related education and Disaster Attitude. In order to foster Core Competencies on Disaster Nursing among nursing students, it was found that the development of a convergence hands-on training program and a program for disaster-related education, which can be experienced through a variety of disaster-related positive and active attitudes focusing on the self-resiliency section.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2022년도 추계학술대회
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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.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2018년도 학술발표회
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• pp.94-94
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• 2018

풍수해로부터 안전한 지역사회를 만들기 위해서는 국가적인 대책과 함께 지역내 사회구성원이 풍수해에 대한 사전대비의 중요성 인식과 피해를 최소화 시켜야한다는 사회적 인식이 강화되어야 한다. 그러나 농촌의 경우, 지역 개발 정책이 우선순위에 있어 농촌의 풍수해 예방정책이 후순위에 있는 경우가 많다. 더욱이 농촌의 풍수해 피해는 유사한 지역에서 반복적으로 발생하는 유형을 가지고 있으며, 지리 지형적, 고령화 인구 비중 등 사회적으로 풍수해에 취약한 지역이다. 또한 농촌 주민들 또한 예방보다는 풍수해 발생 후 복구에 대한 대책이 풍수해 대책이라 생각하는 인식을 지니고 있다. 실제로 농촌주민의 안전 불감증은 인터뷰 및 설문조사를 통해 나타났으며, 재난 대책에 대해 이장 혹은 관공서 직원에게만 의존하는 등 풍수해대비에 대해 무지하고 낙관적인 태도를 지니고 있었다. 농촌 주민의 재난 대응에 대한 무지와 무관심등의 인식 변화를 고려하지 않은 채 구조적인 차원의 대응은 풍수해의 예방에 있어 한계성이 발생한다. 농촌의 재난에 대한 인식변화는 주민들의 구조 및 체제에 대한 태도를 변화하게 함으로 써 보다 실효성 있는 변화를 가능하게 한다. 그러나 현 재난 대책에서는 농촌 주민의 재난대책 등에 대한 의식의 반영이 미비하며, 수준에 대한 정확한 측정 또한 어려운 실정이다. 본 연구에서는 농촌주민의 재난안전 의식의 고취를 위해 현재의 주민의 재난안전 의식의 수준과 실태를 파악할 수 있는 측정도구를 모색하였다. 따라서 본 연구에서 개발된 측정도구를 통해 농촌 주민의 재난안전의식에 측정 결과에 따른 각각 개선방향이 도출되어 농촌의 풍수해 대비 재난 대책에 대한 실효성이 증가될 것으로 기대된다.

• The Journal of the Convergence on Culture Technology
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• 제9권4호
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• pp.383-392
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• 2023

This study was a descriptive survey study for nursing college students to identify disaster awareness, attitude, disaster preparation, nursing professionals, social support, and disaster nursing capabilities, and to prepare measures to improve disaster nursing capabilities by identifying predictors of disaster nursing capabilities. Data collection was collected from 160 nursing students in G-do from March 27 to April 7, 2023, and a total of 158 copies were finally analyzed. Using the SPSS Win. 25.0 program, technical statistics, t-test, one-way ANOVA, Pearson correlation coefficient, and hierarchical multiple regression were analyzed. The result show that fourth grade(β=.20, p=.027), disaster nursing education is 'existent'(β=.15, p=.041), disaster readiness(β=.27, p<.001) nursing professional(β=.21, p=.012) was found to be a significant predictor of disaster nursing competency. Disaster preparation was found to be the best predictor of disaster nursing competency, followed by "nursing professionals," "fourth grade," and "disaster nursing education" with 26.3% of explanatory power. According to the findings of this study, it is necessary to develop an integrated education program for disaster nursing practice that can enhance awareness of disasters, attitudes toward disasters, disaster preparation, nursing professionals, and social support.

• Journal of the Society of Disaster Information
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• 제18권4호
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• pp.687-698
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• 2022

Purpose: This study was conducted to understand the public awareness of landslide and check dams in 2015-2020 using the big data platform 'Hyean' and to confirm the utilization of this platform in disaster prevention areas. Method: The total amount, number of detection by period by media, and affirmative and negative trends of a search for 'landslide' and 'check dam' in 2015-2020 were analyzed using a keyword search of 'Hyean.' Result: There is significant lack of public awareness of check dam compared to landslide, and the trend is more noticeable in the conspicuous gap of data amount between the news and SNS media. The number and the timing of the search for 'landslide' coincided with the actual occurrence of landslide, while the detection of 'check dam' was less related to it. Relatively affirmative preception for the check dam is inferred, but it was difficult to confirm accurate statistical affirmative and negative trends in the disaster prevention field using 'Hyean.' Conclusion: Unlike the experts who expect positive public awareness of check dam, the statistic results show that the public awareness of the check dam as an effective countermeasure against landslide was extremely low. Active promotion of erosion control projects should be carried out first, and a balanced sample survey should accompany online and periodic field surveys. Since there is a limit to grasping the effective perception in the field of disaster prevention area using 'Hyean', it should be very cautious to establish local/governmental policies using it.

• Information and Communications Magazine
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• 제30권5호
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• pp.43-50
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• 2013

2012년 지상파 아날로그 TV 방송의 종료 및 디지털 TV 전환에 따라 디지털 TV를 활용한 차세대 방송서비스에 대한 연구가 진행되고 있다. 뿐만 아니라 2005년 전국 방송을 시작으로 현재 5000만대 이상의 수신기가 보급되어 있는 지상파 DMB(T-DMB:Terrestrial Digital Multimedia Broadcasting)의 효과적인 활용을 위한 연구도 활발히 진행되고 있다. 이러한 서비스 중 안전에 대한 인식이 증대되면서 재난 발생시 최단시간에 관련된 정보를 수신할 수 있는 방송서비스에 대한 요구가 증가하고 있다. 특히 재난 시 방송을 시청하지 않더라도 자동으로 재난상황을 인지하여 Wake-up할 수 있는 기술에 대한 연구가 필요하다. 본 고에서는 기존의 국내 및 해외의 재난 경보 방송시스템에 대해 검토하고 지상파 디지털 TV와 T-DMB를 통한 차세대 방송서비스로 연구되고 있는 자동인지 Wake-up기술에 대해 소개한다.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2020년도 추계학술발표대회
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• pp.556-559
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• 2020

최근 태풍, 지진, 산불, 산사태, 전쟁 등 다양한 재난 상황으로 인한 인명피해와 자금 손실이 꾸준히 발생하고 있고 현재 이를 예방하고 복구하기 위해 많은 인력과 자금이 소요되고 있는 실정이다. 이러한 여러 재난 상황을 미리 감시하고 재난 발생의 빠른 인지 및 대처를 위해 본 논문에서는 인공지능 기반의 재난 드론 시스템을 설계 및 개발하였다. 본 연구에서는 사람이 감시하기 힘든 지역에 여러 대의 재난 드론을 이용하며 딥러닝 기반의 최단 경로 알고리즘을 적용해 각각의 드론이 최적의 경로로 효율적 탐색을 실시한다. 또한 드론의 근본적 문제인 배터리 용량 부족에 대한 문제점을 해결하기 위해 Ant Colony Optimization (ACO) 기술을 이용하여 각 드론의 최적 경로를 결정하게 된다. 제안한 시스템 구현을 위해 여러 재난 상황 중 산불 상황에 적용하였으며 전송된 데이터를 기반으로 산불지도를 만들고, 빔프로젝터를 탑재한 드론이 출동한 소방관에게 산불지도를 시각적으로 보여주었다. 제안한 시스템에서는 여러 대의 드론이 최적 경로 탐색 및 객체인식을 동시에 수행함으로써 빠른 시간 내에 재난 상황을 인지할 수 있다. 본 연구를 바탕으로 재난 드론 인프라를 구축하고 조난자 탐색(바다, 산, 밀림), 드론을 이용한 자체적인 화재진압, 방범 드론 등에 활용할 수 있다.

• Journal of Korean Library and Information Science Society
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• 제51권2호
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• pp.55-77
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• 2020

In the third comprehensive library development plan, the formal and informal social safety space function of the library is used as a project. Therefore, this study investigated whether libraries were designated as evacuation facilities and related service status, and librarians' awareness, perception and attitude toward disaster and disaster response services. Based on this, it was intended to propose a direction to activate disaster and disaster response services. The research results are as follows. First, it is necessary to improve the perception of librarians who are the service providers. Second, discussions on spatial aspects, such as temporary or permanent, are needed. Third, development of disaster and disaster-related service models is required. Fourth, the administration's support and management are essential for the effectiveness of the library's function as a social safety space. Fifth, when developing guidelines for the role of libraries as social shelters and related services, specific details to address the concerns of individual libraries and librarians need to be specified.

• Korean Security Journal
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• 제58호
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• pp.81-106
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• 2019

This study analyzed safety management system against disasters perceived by local residents of Chungcheongbuk-do and then examined the policy directions to be considered in order for local governments to improve the safety level of residents and build an effective safety management system against disasters. The findings were as follows. First, in their recognition of risks of safety against disasters, recognition on the possibility of the occurrence of natural disasters was higher than that of social disasters or safety accidents. Secondly, also in the aspect of the importance of category of safety management against disasters, they recognized that of natural disasters far higher than others. Third, they showed satisfaction higher than average with basic job performance of local governments related with safety management, whereas they showed relatively less satisfaction with the aspects of check and publicity of risk factors, and short-term restoration system out of phased job performance. Fourth, in the aspect of capability of local governments for safety management against disasters, they rated positively capability of the responsible departments and the professionality, whereas they relatively underestimated the scale or budget of safety-related organizations. Fifth, the policy directions to be taken for safety against disasters by local governments included strengthening of regular education like experience-based training, expansion of education among local residents, more support for relevant facilities and resources, activation of residents-participating campaigns, improvement of apparatus and personnel treatment related with firefighting and security, frequent patrol and oversight, more exercises against disasters. So, to strengthen safety management system against disasters in local governments and build a effective responding system may need to extend programs assisting vulnerable class to safety against disasters, build a community-friendly safety management system, extend the cooperation system by participation of residents, enhance collaboration and support system with safety-related bodies like police, firefighters.

• KIPS Transactions on Computer and Communication Systems
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• 제10권4호
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• pp.117-122
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• 2021

In recent years, human damage and loss of money due to various disasters such as typhoons, earthquakes, forest fires, landslides, and wars are steadily occurring, and a lot of manpower and funds are required to prevent and recover them. In this paper, we designed and developed a disaster drone system based on artificial intelligence in order to monitor these various disaster situations in advance and to quickly recognize and respond to disaster occurrence. In this study, multiple disaster drones are used in areas where it is difficult for humans to monitor, and each drone performs an efficient search with an optimal path by applying a deep learning-based optimal path algorithm. In addition, in order to solve the problem of insufficient battery capacity, which is a fundamental problem of drones, the optimal route of each drone is determined using Ant Colony Optimization (ACO) technology. In order to implement the proposed system, it was applied to a forest fire situation among various disaster situations, and a forest fire map was created based on the transmitted data, and a forest fire map was visually shown to the fire fighters dispatched by a drone equipped with a beam projector. In the proposed system, multiple drones can detect a disaster situation in a short time by simultaneously performing optimal path search and object recognition. Based on this research, it can be used to build disaster drone infrastructure, search for victims (sea, mountain, jungle), self-extinguishing fire using drones, and security drones.