• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.148-150
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• 2002

침입자. 화재. 폭발이나 기계 이상과 같은 인적, 물적 재산에 피해를 입힐 수 있는 대부분의 응급 상황은 시각적으로 인식 가능하다. 따라서 사고가 발생하기 이전에 사고의 발생 가능성을 관계자에게 신속히 전달하여 인적, 물적 피해를 입지 않게 또는 최소화할 수 있게 대처하는 것이 필요하다. 이미지 기반의 지능형 경보/모니터링 시스템을 개발하여 자동적으로 비정상 상태를 인식하고 이를 관계된 사람들에게 인터넷과 전화, PCS, PDA로 신속하게 전달하는 유무선 통신 네트워크에서의 오브젝트 이미지 기반의 지능형 경보/모니터링 시스템을 구현하였다. 이 논문에서는 이미지 기반의 지능형 경보/모니터링 시스템의 구성에 대하여 설명하고 각 구성 요소의 기능에 대해서 설명한다

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.2
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• pp.212-217
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• 2011

In this paper, we developed an intelligent minimized integrated digital public address which can provide context awareness of various events occurring in future intelligent buildings. It is able to recognize both voices and sounds, such as a fire bell and a disaster bell, which signal to escape in emergence situations and it can sense information which is sent from various sensors, for example, the inner temperature, humidity, and environment status in an intelligent building. Also, the intelligent digital integrated public address can broadcast information to individual places, according to context awareness that is from sensing information, by using network with an ID. And we are developing a minimized integrated digital public address system that has facilities such as external input, Mic., CD, MP3 and Radio. Developing an integrated digital public address system with operational MICOM will make it possible to control the facilities of digital devices centrally. The operational MICOM is composed of 3 layers which are a control layer, a processing layer and a user interface layer.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.4
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• pp.50-58
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• 2017

Recently, some methods of converging heterogeneous fire sensor data have been proposed for effective fire detection, but the rule-based methods have low adaptability and accuracy, and the fuzzy inference methods suffer from detection speed and accuracy by lack of consideration for images. In addition, a few image-based deep learning methods were researched, but it was too difficult to rapidly recognize the fire event in absence of cameras or out of scope of a camera in practical situations. In this paper, we propose a novel fire detection system combining a deep learning algorithm based on CNN and fuzzy inference engine based on heterogeneous fire sensor data including temperature, humidity, gas, and smoke density. we show it is possible for the proposed system to rapidly detect fire by utilizing images and to decide fire in a reliable way by utilizing multi-sensor data. Also, we apply distributed computing architecture to fire detection algorithm in order to avoid concentration of computing power on a server and to enhance scalability as a result. Finally, we prove the performance of the system through two experiments by means of NIST's fire dynamics simulator in both cases of an explosively spreading fire and a gradually growing fire.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.1
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• pp.31-40
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• 2022

The importance of disaster management and response is emerging as various disasters such as COVID-19, torrential rains, and fires occur one after another. In addition, in order to respond efficiently throughout disaster response activities, it is necessary to quickly collect disaster site information and quickly check the site situation through photo and video information so that rapid disaster response can be achieved. In this study, essential information required for decision-making was derived by analyzing the essential activities of each disaster response stage, analyzing the crisis management standard manual and related laws for each disaster type, and daily comprehensive report. In addition, a list of information necessary to grasp the situation of the disaster site and grasp the status of real-time damage was derived to establish guidelines for collecting volatile disaster site information, and disaster situation information can be efficiently displayed through a spatial information-based display system. By presenting essential disaster management information to be collected first, the person in charge of collecting information can efficiently collect information, and the situation room in charge of disaster response decision-making is expected to enable more efficient disaster situation management by receiving only the necessary information.

• Korean Security Journal
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• no.39
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• pp.37-61
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• 2014

Nowadays the world is threatened because of terrors that take aim at Soft-Targets available and easy to access to the people rather than more secured Hard-Targets. The inspection department of the Presidential Security Service develops and acts a perfect safety plan wherever the President stays so that it is possible to get immediate actions for various contingencies. Some events, in which the President take part, could be held in a lower or higher store in a tall building. Additional to the routine work at this case it is to emphasize on a plan of fire precaution to check the spot and respond to a real fire situation, so that the damage could be minimized. First, the agents of the President Security Service should possess basic knowledge concerning to the fire accidents and be trained on their manuals, even in a busy events plan. An organization, whatever it is, could be improved in that it tries to develop not only the personal abilities, but also education programs of the organization continually. And enhanced abilities of the members lead to the driving force for the advance. The knowledge of fire accident should be able to adapt to the real situation. Second, related to the event, it should be cooperated with the relevant departments, so that it is possible to conduct and control the system. It is urgently required to know that the security event could not be done perfectly with only one part or department. Third, from the time of recognizing of the event it is necessary for the fire department to get an action plan with fire fighting measures, evacuation measures based of the instructions given by the Security Service. Fourth, on the knowledge of the action plan of the fire department the Security Service should inspect the safety activities of the spot and establish the practical operation plan through the fire fighting and evacuation plan. Fifth, the Security Service should share final informations and plan of fire fighting in a high-rise building with the other relevant departments. If not, it could cause a great confusion that could lead to a great damage.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.177-184
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• 2022

This study attempted to propose a plan to develop smart disaster prevention by applying the technologies of the 4th Industrial Revolution at each stage of disaster management to cope with the catastrophic situation of fire accidents. To this end, 150 disaster prevention experts and disaster prevention consumers were set as research subjects, and research data were collected and statistical analysis was conducted by distributing questionnaires. The main result was that disaster prevention experts and consumers commonly regarded the systematic factors of smart disaster prevention as the most important, and the difference in perception of the importance of each smart disaster prevention component was not statistically significant. Based on these results, this researcher suggested that in order for Korea's smart disaster prevention technology to develop, it is important for many researchers to research individual smart disaster prevention technologies, but above all, systematic R&D on how to manage, integrate them, and apply them in actual situations should be most preemptively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1581-1586
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• 2016

In this paper, we propose a central disaster monitoring system of the forest fire. This system provides the safe-zone and detection to reduce the suppression efforts. In existing system, it has a few providing the predicting of wildfire spread model and speed through topography, weather, fuel factor. This paper focus on the forest fire diffusion model and predictions of the path identified to ensure the safe zone. Also we have considering the forest fire of moving direction and speed for fire suppression and monitering. The proposed algorithm could provide the technique to analyze the attribute information that temperature, wind, smoke measured over time. This proposed central observing monitoring system could provide the moving direction of spred out forecast wildfire. This observing and monitering system analyze and simulation for the moving speed and direction forest fire, it could be able to predict and training the forest fire fighters in a given environment.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.4
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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.

• Fire Science and Engineering
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• v.24 no.6
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• pp.45-53
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• 2010

The purpose of this study is to find out the most effective evacuation alarm sound which is the one of the most important element of the evacuation guidance system as a fundamental mechanism to minimize the damages of a fire. In this regard, a survey was conducted against the firefighting officers and the general public with questions about the general awareness of fire and their preference to various kinds of fire alarm sounds. The result showed that 1) even though the awareness of the interviewees on fire was improving while there were in familiar places like homes or works. But, when they were situated in unfamiliar locations, the fire safety awareness could not be deemed to be strong. This in turn calls for the education of the public and improvement of the existing policies for the enhancement of the fire related safety awareness in unfamiliar environments. 2) For the question about the possible time they could survive in a fire or the time required for safe evacuation, it turned out that the interviewees were thinking of the time required for evacuation to be short, which calls for proper actions. 3) When the visibility in a fire situation is highly limited, the most preferred answer for the alarm sound was a female voice, saying "The emergency exit is this way," accompanies with flashing lights of sirens for the emergency evacuation guidance.

• Fire Science and Engineering
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• v.34 no.3
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• pp.91-99
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• 2020

Recently, a new infectious disease, COVID-19, has been spreading not only in Korea but around the world. As a result, the Korean government raised the level of infectious disease crisis alerts to a serious level on February 23, 2020. The purpose of this study is to apply the situational theory of publics to publics segmentation according to the issuance of a crisis alert and to suggest ways to improve the crisis alert system. To this end, the level of public perception on crisis alerts was checked. The verification confirmed that the situational theory of publics is a suitable theoretical framework for analyzing the communication behaviors of the public toward crisis alerts. As a result of the public segmentation, 42.7% were classified as active publics. Based on this, it was suggested to reorganize the crisis alert system as a system for communicating with the public.