• 한국화재소방학회논문지
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• 제33권5호
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• pp.86-93
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• 2019

IoT 기술의 발달과 함께 소방시설의 변화는 가속화되고 있으며, 이 중 대표적인 변화는 소방시설과 스마트폰 앱을 연계한 대피안내시스템의 개발이다. 하지만 이와 관련된 선행연구들은 시스템의 구성에 초점을 두고 수행되고 있으며, 표준화된 피난안내도의 작성매뉴얼과 관련된 연구는 부족한 실정이다. 이에 본 연구진은 표준화된 스마트폰 피난안내도의 기준을 수립하기 위한 기초연구로서, 스마트폰 피난안내도의 구성요소별 표시방법의 유형과 크기에 따른 의사결정시간을 분석하였다. 선행연구 고찰과 법규 고찰을 통해 실험요소를 도출하였으며, 30명의 피실험자를 대상으로 구성요소 표시방법의 유형과 크기에 따른 의사결정시간을 분석하였다. 이후 통계검정을 통해, 스마트폰 피난 안내도 구성요소별 작성기준을 제시하였다.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2008년도 정기총회 및 학술발표대회
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• pp.221-223
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• 2008

It is the best way that to make an inundation map and distribute it to inhabitants for the purpose of decreasing damage of tsunami. To make an inundation map, tsunami which broughthuge damage to Korea should be properly investigated and maximum inundation zonewas selected by simulating tsunami phenomenan. An inundation map must involve the location of shelters and evacuation routes. New evacuation simulation program connected evacuation simulation procedure and tsunami inundation procedure to get inhabitants' evacuation states in real-time.

• Nuclear Engineering and Technology
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• 제54권11호
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• pp.4195-4208
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• 2022

In this study, operator habitability was numerically evaluated in the event of a fire at the main control bench board (MCB) in a reference main control room (MCR). It was investigated if evacuation variables including hot gas layer temperature (HGLT), heat flux (HF), and optical density (OD) at 1.8 m from the MCR floor exceed the reference evacuation criteria provided in NUREG/CR-6850. For a fire model validation, the simulation results of the reference MCR were compared with existing experimental results on the same reference MCR. In the simulation, various input parameters were applied to the MCB panel fire scenario: MCR height, peak heat release rate (HRR) of a panel, number of panels where fire propagation occurs, fire propagation time, door open/close conditions, and mechanical ventilation operation. A specialized-average HRR (SAHRR) concept was newly devised to comprehensively investigate how the various input parameters affect the operator's habitability. Peak values of the evacuation variables normalized by evacuation criteria of NUREG/CR-6850 were well-correlated as the power function of the SAHRR for the various input parameters. In addition, the evacuation time map was newly utilized to investigate how the evacuation time for different SAHRR was affected by changing the various input parameters. In the previous studies, it was found that the OD is the most dominant variable to determine the MCR evacuation time. In this study, however, the evacuation time map showed that the HF is the most dominant factor at the condition of without-mechanical ventilation for the MCR with a partially-open false ceiling, but the OD is the most dominant factor for all the other conditions. Therefore, the method using the SAHRR and the evacuation time map was very useful to effectively and comprehensively evaluate the operator habitability for the various input parameters in the event of MCB fires for the reference MCR.

• International journal of advanced smart convergence
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• 제6권1호
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• pp.82-88
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• 2017

Emergency lights and exit signs are an indispensable part of safety precautions for effective evacuation in case of emergency in public buildings. These emergency sign indicates safe escape routes and emergency doors, using an internationally recognizable sign. However visibility of those signs drops drastically in case of emergency situations like fire smoke, etc. and loss of visibility causes serious problems for safety evacuation. This paper propose a novel emergency light and exit sign built-in with Bluetooth Low Energy (BLE) Beacon to assist the emergency self-guiding evacuation using devices for crisis and emergency management to avoid panic condition inside the buildings. In this approach, the emergency light and exit sign with the BLE beacons deployed in the indoor environments and the smart devices detect their indoor positions, direction to move, and next exit sign position from beacon messages and interact with map server in the Internet / Intranet over the available LTE and/or Wi-Fi network connectivity. The map server generate an optimal emergency exit path according to the nearest emergency exit based on a novel graph generation method for less route computation for each smart device. All emergency exit path data interfaces among three system components, the emergency exit signs, map server, and smart devices, have been defined for modular implementation of our emergency evacuation system. The proposed exit sign experimental system has been deployed and evaluated in real-time building environment thoroughly and gives a good evidence that the modular design of the proposed exit sign system and a novel approach to compute emergency exit path route based on the BLE beacon message, map server, and smart devices is competitive and viable.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 추계학술대회
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• pp.219-221
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• 2022

최근 여름철에 집중되면서 산악지역에서도 침수 및 범람으로 보행자는 대피 상황에서 인명 피해로 발생한다. 이를 보완하기 위해서는 범람 발생을 파악하여 보행자가 안전한 대피를 할 수 있는 시스템이 필요로 하다. 이에 본 논문에서는 Map API를 활용한 최단 거리 알고리즘 기반 보행자 경로 탐색 연구에 대해 제안한다. 보행자 경로 탐색 시스템은 T Map API를 사용하여 지도를 출력하고, 주변 건물을 대피소로 선정하여 데이터를 저장한다. 보행자의 현재 위치에서 가까운 대피소가 선정되어 최단 경로를 출력하고, 거리 및 시간을 제공한다. 대피 중 현재 진행 중인 경로에 문제가 생겼을 경우 현재 위치에서 다른 대피소의 경로를 제공한다. 이에 본 논문에서 제안하는 보행자 경로 탐색 대피 시스템은 대피 중 사고 예방을 할 것으로 사료한다.

• 대한조선학회논문집
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• 제59권6호
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• pp.385-392
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• 2022

Naval ship could face a variety of threats in isolated seas. In particular, fires and flooding are defined as disasters that are very likely to cause irreparable damage to ships. These disasters have a very high risk of personal injury as well. Therefore, when a disaster occurs, it must be quickly suppressed, but if there are people in the disaster area, the protection of life must be given priority. In order to quickly evacuate the ship crew in case of a disaster, we would like to propose a plan to quickly explore the evacuation route even in urgent situations. Using commercial escape simulation software, we obtain the data for deep neural network learning with simulations according to aisle characteristics and the properties and number of evacuation person. Using the obtained data, the passage prediction model is trained with a deep learning, and the passage time is predicted through the learned model. Construct a numerical map of a naval ship and construct a distance matrix of the vessel using predicted passage time data. The distance matrix configured in one of the path search algorithms, the Dijkstra algorithm, is applied to explore the evacuation path of naval ship.

• 한국인터넷방송통신학회논문지
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• 제9권5호
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• pp.109-114
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• 2009

현재 건물은 예전에 비해 더 높고 더 복잡하면서 다양한 형태로 설계되고 있다. 그러므로 잠재적인 위험 요소는 더 증가하고, 화재, 정전, 지진, 호수, 태풍 등의 재해가 발생할 수 있다. 이들 재난은 가능한 신속하게 건물 안의 사람들을 대피시켜야 한다. 본 논문에서는 건물 내부에서의 센서와 유도등 네트워크를 통합 구축하여 신속하게 재난을 감지하고 내부 지리 정보를 이용하여 정확하게 대피 유도할 수 있는 새로운 재난 대피 유도 개념을 제시한다. 본 논문에서는 이 개념을 이용하여 건물 내부에서 화재 재난을 관리하기 위해 센서와 유도등 네트워크 기반의 통합 논리 모델을 제시한다. 더불어 제안된 논리 모델을 지도 상에 가시화하고 운영 실험을 실시하여 검증한다.

• 인터넷정보학회논문지
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• 제21권5호
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• pp.31-37
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• 2020

Last year's Goseong-Sokcho forest fires have highlighted the limitations of extinguishing work for night-time forest fire and the importance of quick identification for information on the spread of forest fire. However, it is not easy to find services that take into account the characteristics of forest fires, as most existing disaster-related mobile applications and research assume various disaster situations rather than just forest fire situations. Therefore, a system that can provide information quickly is needed, taking into account the characteristics of forest fires and the limitations of extinguishing work. In this paper, we propose evacuation route guidance services that bypass areas where fire has already spread, supplement existing methods of extinguishing work, and provide general information on forest fire situations in real time, by putting drones into forest fire situations. It has been implemented to automate image analysis using the Rekognition service of Amazon Web Service (AWS), and the results of fire detection and the T Map API guide the evacuation path. It is expected that the results of this paper will allow efficient and rapid rescue and extinguishing work to be carried out, and further reduce the damage of human life caused by forest fires.

• 대한공간정보학회지
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• 제19권4호
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• pp.91-99
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• 2011

대규모 홍수가 빈발하여 홍수피해 규모가 천문학적으로 커지고 있는 현실에서 침수지역에 대한 침수흔적조사, 침수예상분석, 대피계획 수립 등 종합적인 검토 분석의 결과를 지도위에 표현하는 재해지도는 비구조적인 홍수방어 대책의 주요한 수단이 되고 있다. 특히, 태풍, 호우, 해일 등으로 인한 침수흔적을 조사하여 표시한 침수흔적도는 침수예상도, 재해정보지도 등과 유기적인 관계를 지니고 있는 방재 기본도임에도 불구하고 작성 예산 문제, 작성 시기 지연 및 침수흔적 표시 관리가 미흡하여 침수흔적도 작성이 불가능한 경우가 많다. 따라서 본 연구에서는 소방방재청에서 제시한 침수흔적도 제작 지침을 토대로 과거 홍수재해가 빈번하게 발생했던 지역을 대상으로 침수 피해정보와 3차원 정밀 지형정보(DEM)을 이용한 침수흔적도 작성을 통해 구축 정확도를 향상하는 방안을 제시하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.52-55
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• 2006

It's used to be said that tsunami is a rare event. The recurrence time of tsunami in Sumatra area is approximately 230 years as CalTech Research Group‘s study from paleocoral. However, the tsunami occurred in Indian Ocean on 26 December 2004, 28 March 2005 and 17 July 2006, because the earthquakes still release the energy. To cope with the tsunami disaster, we have to put the much effort on better disaster preparedness. The Tsunami Reduction Of Impacts through three Key Actions (TROIKA) was suggested by Eddie N. Bernard, the director of NOAA/PMEL (Pacific Marine Environmental Laboratory). They are Hazard Assessment, Mitigation and Warning Guidance. The satellite remote sensing has potential on these actions. The medium and high resolution satellite data were used to assess the degree of damage at the six-damaged provinces on the Andaman seacoast of Thailand. Fast and reliable interpretation of the damage by remote sensing method can be used for inundation mapping, rehabilitation and housing plans for the victims. For tsunami mitigation, the satellite data can be used with GIS to construct the evacuation map (evacuation route and refuge site) and coastal zone management. It is also helpful for educational program for local residents and school systems. Tsunami is a kind of ocean wave, therefore any satellite sensors such as SAR, Altimeter, MODIS, Landsat, SPOT, IKONOS can detect the tsunami wave in 2004. The satellite images have shown the characteristics of tsunami wave approaching the coast. For warning, satellite data has potential for early warning to detect the tsunami wave in deep ocean, if there are enough satellite constellation to monitor and detect the first tsunami wave like the pressure gauge, seismograph and tide gauge with the DART buoy can do. Moreover, the new methods should be developed to analyse the satellite data more faster for early warning procedure.