• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.31-39
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• 2011

For rapid formed the ad hoc wireless backbone network in disaster scene, It is necessary for real-time deployment scheme of wireless ad hoc relay devices by first responders without pre-planning. However, in order to realize this scheme, redundant deployment should be minimized, as well as optimal location of relay devices should be selected to expand communication coverage. Therefore, in this paper, we propose a new deployment scheme of relay devices to optimize communication coverage and then through simulations showed that improved performance of algorithm.

• Journal of Korean Society of Disaster and Security
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• v.6 no.1
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• pp.29-34
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• 2013

Recently, scale and complexity of disaster are increasing by natural social factor, and there is limit for emergency response by single agency thereby. Therefore, when multi-agency conduct a response for disaster together at the scene, they need preparation for joint response in the advance for systematic mutual cooperation. Preparedness consist of various factors such as planning, securing of Organizations and resource, continuous education and training. This paper focus on emergency response plan and examine the existing state and problem of various plans and manuals. Also submit development way for establishing emergency response plan that had effectiveness through the foreign case analysis.

• Journal of the Society of Disaster Information
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• v.11 no.1
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• pp.149-162
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• 2015

Today, necessity of high building is increasing for security and information intensive type city development of urban space. At the same time, interest of high building disaster among human made - disaster is rising because importance of high building safety is embossed more. Therefore, the purpose of this study will present what main factors will affect high building disaster administration system that can be prevented or prepared.

• Korean Journal of Remote Sensing
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• v.39 no.5_2
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• pp.811-825
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• 2023

In accordance with the government's stance of actively promoting intelligent administrative service policies through data utilization, in the disaster and safety management field, it also is proceeding with disaster and safety management policies utilizing data and constructing systems for responding efficiently to new and complex disasters and establishing scientific and systematic safety policies. However, it is difficult to quickly and accurately grasp the on-site situation in the event of a disaster, and there are still limitations in providing information necessary for situation judgment and response only by displaying vast data. This paper focuses on deriving specific needs to make disaster situation management work more intelligent and efficient by utilizing intelligent information technology. Through individual interviews with workers at the Central Disaster and Safety Status Control Center, we investigated the scope of disaster situation management work and the main functions and usability of the geographic information system (GIS)-based integrated situation management system by practitioners in this process. In addition, the data built in the system was reclassified according to purpose and characteristics to check the status of data in the GIS-based integrated situation management system. To derive needed to make disaster situation management more intelligent and efficient by utilizing intelligent information technology, 3 strategies were established to quickly and accurately identify on-site situations, make data-based situation judgments, and support efficient situation management tasks, and implementation tasks were defined and task priorities were determined based on the importance of implementation tasks through analytic hierarchy process (AHP) analysis. As a result, 24 implementation tasks were derived, and to make situation management efficient, it is analyzed that the use of intelligent information technology is necessary for collecting, analyzing, and managing video and sensor data and tasks that can take a lot of time of be prone to errors when performed by humans, that is, collecting situation-related data and reporting tasks. We have a conclusion that among situation management intelligence strategies, we can perform to develop technologies for strategies being high important score, that is, quickly and accurately identifying on-site situations and efficient situation management work support.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.231-232
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• 2017

건설업은 전체 산업중 두 번째로 높은 재해율을 보이는 산업이다. 그중 거푸집 작업의 재해율은 건설업 재해율의 24%를 차지하고 있다. 거푸집 공사에서 발생하는 재해비율은 추락(30.4%), 물체에 맞음(20.8%), 넘어짐(19.1%), 부딪힘(13.1%), 끼임(8.3%)이다. 이중 가장 높은 비율을 차지하고 있는 추락에 대해서 재해요인 분석을 통하여 체크리스트를 개발 하였다. 본 연구에서 개발한 체크리스트를 중소규모 건설현장의 거푸집 공사에 적용한 결과 안전관리의 취약점을 파악할 수 있었다. 본 연구의 결과가 중소규모 건설현장에 적용하여 보다 효율적인 안전관리에 기여할 수 있기를 기대한다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.141-142
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• 2023

소규모 건설 사업장에서는 한 사람이 과도하게 많은 관리영역에 대해서 책임을 져야하므로 특정 영역에 대해 집중적인 관리가 불가능하다. 실제로 이와 같은 소규모 프로젝트는 작은 규모로 인해서 정부의 관리 통제에서 면제되고 있는 바, 이는 소규모 건설 사업장에서의 안전관리와 안전관리에 대한 의식 수준이 낮은 주된 이유 중 하나이다. 정부는 그간 전국적 사고 발생 건수를 줄이기 위해 지속적으로 노력하고 있지만 매년 백여 명이 넘는 근로자가 건설현장에서 사망하고 있다. 이는 그간의 관리 방법으로는 일정 수준의 목표를 달성하고자 함에 있어 상당한 한계가 있다는 것을 시사한다. 건설 사업장에서 발생하는 각종 안전사고는 건축물의 대형화 복잡화함에 따라 다양한 형태로 발생되며 그 중 대형건설사는 지속적인 안전관리를 통해 안전관리 수준이 향상되었고 상대적으로 소규모 건설 사업장과는 안전수준의 격차는 커지고 있다. 따라서 본 연구에서는 상대적으로 안전 관리가 미흡하고 전체사고의 반 이상을 차자하는 소규모 건설현장의 문제점을 파악하고 이에 대한 개선방안을 제시하고자 한다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.160-161
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• 2022

영국의 "기업과실치사법", 캐나다 및 호주의 기업처벌을 강화하기 위해서 형법을 개정하였음에도 불구하고 산업재해 감소 효과는 미미하다. 건설 현장의 불안전한 상태 방치 및 가설구조물에서 강도 높은 안전사고가 다수 발생하고 있다. 본 연구에서는 이러한 안전사고 예방을 위해 안전관리 실명제의 중요도 순위를 전문가 설문으로 도출하였다. 건설현장 전문가를 대상으로 AHP모형을 통해 중요도 분석한 결과 상위계층은 건설기계가 가장 중요하다고 보았으며, 하위계층의 안전시설물 관리에서는 개구부, 건설기계에서는 타워크레인, 관리실명제에서는 "산업안전보건법" 상에 의한 관리, 안전관리조직에서는 CEO의무가 가장 중요하다고 보았다. 안전관리실명제의 기대되는 역할은 중대재해처벌법이 예방에 힘쓰기 보다는 방어에 온힘을 다하느라 예방의 기능이 저하되고 있다. 이러한 역 기능을 바로잡기 위해 안전관리실명제는 중요하다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.65-66
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• 2022

산업 재해가 지속적으로 증가하고 있으며, 이에 따라 다양한 ICT 기술을 활용하여 산업현장에서 재해 발생 경감을 위한 노력이 진행되어왔다. 본 연구에서는 작업자 안전을 위한 loT 기반 시스템과 챗봇을 이용한 작업자와 대화형 안전 관리 기술에 대한 연구를 진행하였다. 기존의 챗봇의 활용은 홈페이지에서 단순한 매뉴얼 정보를 대화형으로 제공하는 수준에서 머무르고 있는데 반하여 본 사업에서는 작업자의 헬멧 등 장비에 장착된 인터페이스를 통하여 챗봇을 통한 안전관리를 제공할 수 있는 것이다.

• Journal of Industrial Convergence
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• v.22 no.5
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• pp.117-125
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• 2024

The research purpose outlined emphasizes the growing need for systematic and professional disaster education for nurses and nursing students, driven by the increasing occurrence of natural and large-scale social disasters. The study, a systematic literature review, analyzed the effects of educational interventions in disaster education targeting this demographic. The research method involved a literature search in major Korean databases using keywords related to disaster, education programs, and simulations. The findings highlighted that most programs utilized a combination of theoretical lectures, simulations, and debriefing methods, with intervention times ranging from less than 2 hours to between 40 and 56 hours. The primary outcomes measured were disaster nursing preparedness and performance abilities, with the programs showing positive effects on variables such as disaster nursing readiness, performance ability, attitude, knowledge, awareness, learning self-efficacy, practice satisfaction, and confidence in disaster nursing. The study suggests the importance of designing programs that offer participants realistic learning experiences through diverse intervention times and methods and emphasizes the need to verify the effectiveness of these programs.

• Journal of Internet Computing and Services
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• v.23 no.4
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• pp.57-64
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• 2022

If the inside of a building collapses due to a disaster such as fire, collapse, or natural disaster, the physical security inside the building is likely to become ineffective. Here, physical security is needed to minimize the human casualties and physical damages in the collapsed building. Therefore, this paper proposes an algorithm to minimize the damage in a disaster situation by fusing existing research that detects obstacles and collapsed areas in the building and a deep learning-based object detection algorithm that minimizes human casualties. The existing research uses a single camera to determine whether the corridor environment in which the robot is currently located has collapsed and detects obstacles that interfere with the search and rescue operation. Here, objects inside the collapsed building have irregular shapes due to the debris or collapse of the building, and they are classified and detected as obstacles. We also propose a method to detect rescue requesters-the most important resource in the disaster situation-and minimize human casualties. To this end, we collected open-source disaster images and image data of disaster situations and calculated the accuracy of detecting rescue requesters in disaster situations through various deep learning-based object detection algorithms. In this study, as a result of analyzing the algorithms that detect rescue requesters in disaster situations, we have found that the YOLOv4 algorithm has an accuracy of 0.94, proving that it is most suitable for use in actual disaster situations. This paper will be helpful for performing efficient search and rescue in disaster situations and achieving a high level of physical security, even in collapsed buildings.