• 한국디지털정책학회:학술대회논문집
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• 2007.06a
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• pp.333-339
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• 2007

To preventand minimize damages from disaters, it is necessary to build a fire detection or a guide system that can gather and organize proper information and that can analyze about disasters. This research aims at suggestion of fire detection and guide system in building on the base of sensor network. To do so, it examines the effects of this suggesting model system based urban disaster management system.

• Fire Science and Engineering
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• v.26 no.3
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• pp.91-99
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• 2012

Fatal injuries and deaths have occurred resulting from the operation or disassembling of a powder extinguishers in Korea. If a rusted powder extinguisher is exploded during operation or disassembling, it rises to the air like a rocket and hits a head, chest, or neck part of an operator, resulting in his (her) death or injury. In this study examines the explosion accident cases of a powder fire extinguisher and analyzes their causes, reactions to explosion, and precautionary measures. And in this paper suggests 1) no using of old fire extinguishers in fire drill or education, 2) education and public information on danger of old fire extinguishers, 3) indication of explosion danger to cartridge-type dry chemical powder fire extinguishers had already placed to buildings etc., 4) obligatory indication of durable years on fire extinguishers, 5) examination for introduction of system that do hydraulic pressure test about fire extinguishers that given period past, 6) construction of system that reclaim old fire extinguishers, 7) construction of system that recycle or reuse old fire extinguishers, and 8) operation of help desk related to old fire extinguishers as precautionary measure of fire extinguisher explosion accidents.

• Journal of Korea Multimedia Society
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• v.11 no.11
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• pp.1547-1554
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• 2008

This paper proposes a fire shunt guidance system model based on rule, it presents suitable shunt route in real-time according to collected fire information of the building inside using wireless sensor networks. So, this system model is composed of the sensor alert module, the behavior suggestion module, and the emergency device control module. The sensor alert module uses rule-base algorithm that monitored the information to collect periodically in wireless sensor networks. And, the behavior suggestion module proposed a suitable behavior, this module supports to judge the fire area with danger sensor list. Additional, the emergency device control module controls a related emergency device according to the suggested behavior and to present on a control screen. We experiment the fire shunt guidance system based on Internet Web for operation verification of the proposed system. Consequently, this study supports people safety with the behavior suggestion according to the context information when an emergency situation happens.

• Journal of the Korean Institute of Gas
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• v.16 no.6
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• pp.107-114
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• 2012

Fire detection system is used for detection and alarm-generation of danger in case of fire. Most fire detection systems being used these days often malfunction from false positive and false negative errors. To improve detection reliability, an integrated fire detection algorithm using multi-senor information of heat, smoke and carbon monoxide detectors is suggested, then built and tested using the LabVIEW environment. Simulated using sensor measurement data offered by National Institute of Standards and Technology (NIST), possibility of reducing false positive and false negative errors is verified.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.245-246
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• 2022

2020년도에 물류창고에서 큰 화재 2건이 발생하였다. 4월 29일에 발생한 이천 물류창고 화재에서는 38명이라는 귀중한 생명을 잃었고 4월 21일에 발생한 군포 물류창고 화재에서는 약 220억 원이라는 재산피해가 있었다. 계속해서 되풀이 되고 있는 물류창고 화재에 대한 위험성과 물류창고라는 특성을 분석하여 이에 대한 대책을 국내법과 NFPA를 비교 분석하여 passive system, active system 및 유지관리 관점으로 제시하고자 한다.

• Fire Science and Engineering
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• v.25 no.3
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• pp.72-77
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• 2011

This study aims to provide fundamental information required to establish an efficient maintenance and management system for fire fighting clothing which takes into account the domestic fire protection environment and situation. There aren't any detailed regulations and appropriate pre-inspection systems which would be required for proper maintenance of fire fighting clothing, as well as any test methods to determine the life spans of fire fighting clothing properly. Thus, this study tries to analyze the problems in use of fire fighting clothing and its maintenance situation and summarize overseas maintenance situation for fire fighting clothing. As a result, it is found that domestic fire fighting clothing is washed, repaired, and stored without any systematic management regulations. It is also found that the life spans of fire fighting clothing are determined, based on part of overseas management regulations on fire fighting clothing. Therefore, it is imperative to set up efficient management regulations and test methods for fire fighting clothing which would be required for efficient use of the fire fighting budgets and the life safety of fire fighters.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.597-598
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• 2013

A lot of fire and crime accidents are caused to a significant national loss. For example, the network and power facilities in national industry facilities, the fire risk region in large scale factories such as nuclear and thermal power plants, large-sized buildings, cultural properties, metal and steel mills, chemical plants, oil refineries. The development of a fire detection system that can detects the temperature and movement of objects as high-level quality is essential to prevent these incidents and accidents fundamentally. In this paper, the fire detection system based on infrared thermal imaging & CCD camera id designed to solve these problems.

• The Plant Pathology Journal
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• v.40 no.3
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• pp.290-298
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• 2024

K-Maryblyt has been developed for the effective control of secondary fire blight infections on blossoms and the elimination of primary inoculum sources from cankers and newly emerged shoots early in the season for both apple and pear trees. This model facilitates the precise determination of the blossom infection timing and identification of primary inoculum sources, akin to Maryblyt, predicting flower infections and the appearance of symptoms on various plant parts, including cankers, blossoms, and shoots. Nevertheless, K-Maryblyt has undergone significant improvements: Integration of Phenology Models for both apple and pear trees, Adoption of observed or predicted hourly temperatures for Epiphytic Infection Potential (EIP) calculation, incorporation of adjusted equations resulting in reduced mean error with 10.08 degree-hours (DH) for apple and 9.28 DH for pear, introduction of a relative humidity variable for pear EIP calculation, and adaptation of modified degree-day calculation methods for expected symptoms. Since the transition to a model-based control policy in 2022, the system has disseminated 158,440 messages related to blossom control and symptom prediction to farmers and professional managers in its inaugural year. Furthermore, the system has been refined to include control messages that account for the mechanism of action of pesticides distributed to farmers in specific counties, considering flower opening conditions and weather suitability for spraying. Operating as a pivotal module within the Fire Blight Forecasting Information System (FBcastS), K-Maryblyt plays a crucial role in providing essential fire blight information to farmers, professional managers, and policymakers.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.1163-1167
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• 2007

Many railway safety measures are carried out after Daegue subway fire accident. Such as replacement of train interior material, fire extinguish and toxic gas evacuation facilities, exercise on emergency response, setting up of national safety management system, and safety technology research. But these safety measures are not considered by system safety due to lack of risk and hazard information. In order to assess fire risk on system level, we proposed hazard events and causes classification for railway fire accident risk analysis.

• Journal of the Korean Society of Safety
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• v.7 no.1
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• pp.31-38
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• 1992

This paper presents a study on application of expert system technique for the diagnosis of fire-causes in plants. A need is recognized for new methods to diagnose exactly the causes of fires without the help of the human experts. To cope with the difficulty, the expert system techiuque is applied to this area. The expert system suggested in this paper is developed to infer the causes of fires(or, ignition source ) by using the information drawn from the circumstances in fire. For the convenience of inference, ignition sources we classified into eight types ; elecoic spark, adiabatic compression, welding spark, material of high temperature, impact and friction, spontaneous ignition, naked fire, and static electricity. The knowledge base is composed of the rule base and dynamic database, which contain the rules and facts obtained by the expenence in this area, respectively. Both depth-first search and backward chaining schemes are used in reasoning process. This expert system is written in an artificial intelligence language "PROLOG", and its availability is demonstrated through the case study.