• 방재와보험
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• s.108
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• pp.47-51
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• 2005

원전에서의 화재사고는 사람은 물론 주변 환경에도 막대한 영향과 피해를 가져오는 파괴적 재난이 될 수 있다. 오늘날 원자력 발전소를 위한 화재안전 프로그램들은 화재 발생 확률과 피해를 최소화하는 것을 우선 과제로 삼고 있는 실정이다. 따라서 어떠한 화재라도 안전작동 차단기능을 방해하지 않으며, 원전 주위에 방사능 유포 위험을 늘리지 않는다는 것을 목표로 화재안전 프로그램이 운영되고 작동중인 원자로의 넓은 적용 범위에서 초기 탐지능력을 강화하는 것이 중요하다고 할 수 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.533-538
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• 2014

This study examines the performance of and searches for improvements to the existing automatic fire detection systems installed at domestic apartment buildings as a basic study for development of intelligent fire detection systems specifically for apartments. Thus, this study aims to find out the problems in performance and maintenance of the existing fire detectors installed at apartment buildings which is the prerequisite process for development of intelligent fire detection system for that specific application. It is also found impossible to check whether or not the detectors installed at each apartment are in an operational state at normal times. This study finds that it is desirable to replace the slow-sensing heat detectors by a smoke and single smoke detectors which can detect a fire at its early stage in an effort to improve the problems of fire detectors installed at apartment buildings presently. Because we need to the independence fire detection system of apartment building.

• Fire Science and Engineering
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• v.14 no.2
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• pp.1-6
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• 2000

The radiant energy from a flaming fire of fuels containing carbonaceous material can be applied to fast growing fire. Raiant energy sensinsing technique applied detectors are ultimately effective when early detecting fire alarm system is required or the smoke and heat detectors can not be applied. This study investigated the characteristics of sun light, artificial light and flame radiation light and the foundation technique of flame detecting is established. Pyroelectric element proper for the characteristics of flame radiant energy developed and circuit stabilizing technique, electro-magnetic immunity technique, durable and reliable operating technique to circuits developed.

• The KIPS Transactions:PartB
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• v.18B no.4
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• pp.213-220
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• 2011

This paper proposes an effective, four-stage smoke detection method based on video that provides emergency response in the event of unexpected hazards in early fire-alarming systems. In the first phase, an approximate median method is used to segment moving regions in the present frame of video. In the second phase, a color segmentation of smoke is performed to select candidate smoke regions from these moving regions. In the third phase, a feature extraction algorithm is used to extract five feature parameters of smoke by analyzing characteristics of the candidate smoke regions such as area randomness and motion of smoke. In the fourth phase, extracted five parameters of smoke are used as an input for a K-nearest neighbor (KNN) algorithm to identify whether the candidate smoke regions are smoke or non-smoke. Experimental results indicate that the proposed four-stage smoke detection method outperforms other algorithms in terms of smoke detection, providing a low false alarm rate and high reliability in open and large spaces.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.291-292
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• 2012

본 연구는 여러 가지 센서를 이용하여 자동차 전용 도로터널의 차량 사고시의 음향을 인식하여 사고인식률을 높이는 화재 예고 시스템에 관한 연구이다. 현행의 CCTV나 자동화재탐재설비에서 감지하는 열센서나 영상전송자료를 파악하기에 앞서, 이차적 재해 가능성을 유의미한 수준에서 미리 예고하고 대응할 수 있는 사전예고시스템을 구성하였다. 유선설치기반의 센서로 대부분 구성된 도로터널 내에서 비교적 설비가 저렴한 무선센서를 사용함으로서 기존 터널에서의 적용성을 증대시켰다.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.3
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• pp.310-315
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• 2007

When a mail was given to users, each user's response could be different according to his or her preference. This paper presents a solution for this situation by constructing a u!;or preferred ontology for anti-spam systems. To define an ontology for describing user behaviors, we applied associative classification mining to study preference information of users and their responses to emails. Generated classification rules can be represented in a formal ontology language. A user preferred ontology can explain why mail is decided to be spam or non-spam in a meaningful way. We also suggest a nor rule optimization procedure inspired from logic synthesis to improve comprehensibility and exclude redundant rules.

• Journal of the Korean Society for Precision Engineering
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• v.31 no.9
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• pp.847-854
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• 2014

The paper presented a method of early fire detection based on the environmental characteristics inside the nacelle of wind turbine generator system(WTGS). The rising rates of the temperature and smoke density were used as the parameters for early fire detection. By considering the characteristics of temperature and smoke density of a nacelle, this method is very reliable and can minimize the possibility of a malfunction of fire detection. The performance of the method was tested through sets of experiments by using nacelle simulator.

• Fire Science and Engineering
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• v.19 no.1 s.57
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• pp.99-103
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• 2005

This study is the mono signal detector and the multitype detector of mono signal On/Off circuit type. The multi functional base circuit focused on which is made of compatible with exiting fire detector base. The multi functional base circuit generates two fire signals at the same time, so it can link the existing fire alarm system with security system. The base circuit is easily able to be connected to exiting HA or OA facilities, having stability and reliability. As a result of the study, the multi functional base circuit has met the acceptance criteria of related national standards. Also, the security system of input signal can contribute to the smallest loss of lives and the property.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.2
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• pp.331-336
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• 2017

The need for early fire detection technology is increasing in order to prevent fire disasters. Sensor device detection for heat, smoke and fire is widely used to detect flame and smoke, but this system is limited by the factors of the sensor environment. To solve these problems, many image-based fire detection systems are being developed. In this paper, we implemented a system to detect fire and smoke from camera input images using a convolution neural network. Through the implemented system using the convolution neural network, a feature map is generated for the smoke image and the fire image, and learning for classifying the smoke and fire is performed on the generated feature map. Experimental results on various images show excellent effects for classifying smoke and fire.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.5
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• pp.49-54
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• 2010

The wooden cultural assets have the characteristics such as the fast spread of flame and leading to total destruction. Therefore, there is a need for a system for early countermeasure of recognized problem, along with the technological response for accurately recognizing the situation, for the prevention and early suppression of fire. To utilize such technology for detecting the situation through the latest ubiquitous technology and for a quick response to suppress fire, the ubiquitous sensor network (USN) technology, flame detector, image sensor, USN-based cultural asset disaster prevention management application case and malfunction identification system realization were examined in this study and the study result was presented focusing on the flame detector malfunction identification system for the ubiquitous-type cultural asset disaster prevention system.