• Title/Summary/Keyword: 연기 시스템

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The Paper on The Martialarts Acting System for Action Acting Technic (효율적인 액션연기를 위한 '무예武藝연기술시스템' 의 논의)

  • Kim, Sunam
    • The Journal of the Korea Contents Association
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    • v.15 no.7
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    • pp.57-74
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    • 2015
  • This paper will concentrates on martialarts acting system. I will sugest a kind of actor's training system for the safe method of action acting. In this study I solve the following problems. First, what is main factors to interfere with performer to act and how do they get rid of factors. Second, what is very economic and effective challenge to develope the new acting system for action acting performers. For this discussion I studied four parts. The first, I gives purpose and direction of the safe for martialarts actor. The second, I traces the development of contemporary idea of acting such as Stanislavsky and Meyerhold. The third I introduces Korean martialarts training system. The last I conclude which refer to effective action acting by result of training 'Korean traditional martialarts acting system'.

A Smoke Detection Method based on Video for Early Fire-Alarming System (조기 화재 경보 시스템을 위한 비디오 기반 연기 감지 방법)

  • Truong, Tung X.;Kim, Jong-Myon
    • 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.

A Design and Development of the Smoke Detection System Using Infra-red Laser for Fire Detection in the Wide Space (광역 화재감지를 위한 적외선 레이저 연기 검출 시스템의 설계 및 구현)

  • Park, Jang-Sik;Song, Jong-Kwan;Yoon, Byung-Woo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.6
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    • pp.917-922
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    • 2013
  • In this paper, we propose a smoke detection system in order to detect a fire in a wide space, such as tunnel, airports using infra-red and visible laser. The proposed smoke detection system is composed of infra-red laser transmitter and receiver, visible laser and Zigbee wireless communication network. A visible laser is used to match transmitter and receiver and Zigbee network is utilized to propagate warnings of fire. If smoke is appeared between transmitter and receiver, received signals are decreased and it can be considered as occurring smoke. As IR laser transmitter and receiver are separated by long distance, it is difficult to match due to large variations caused by small change of direction. In this paper, it is proposed to match effectively using visible laser. When smoke is detected, warning informations are propagated by Zigbee network in the developed smoke detection system.

Implementation of Image based Fire Detection System Using Convolution Neural Network (합성곱 신경망을 이용한 이미지 기반 화재 감지 시스템의 구현)

  • Bang, Sang-Wan
    • 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.

A Numerical Study on Smoke Behavior of Fishing Vessel Engine Room (어선 기관실의 연기 거동에 관한 수치해석 연구)

  • JANG, Ho-Sung;JI, Sang-Won
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.5
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    • pp.683-690
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    • 2021
  • The ventilation system of the engine room of a ship is generally installed to supply the combustion air necessary for the internal combustion engine and to remove the heat source generated in the engine room, and it must satisfy the international standard (ISO 8861) for the design conditions and calculation standards for the ventilation of the ship engine room. The response delay of the ventilation system including the fire detector is affected by the airflow formed inside the area and the location of the fire detector. In this study, to improve the initial fire detection response speed of a fire detector installed on a fishing vessel and to maintain the sensitivity of the installed detector, the smoke behavior was simulated using the air flow field inside the engine room, the amount of combustion air in the internal combustion engine, and the internal pressure of the engine room as variables. Analysis of the simulation results showed that reducing the flow rate in the air flow field and increasing the vortex by reducing the internal pressure of the engine room and installing a smoke curtain would accelerate the rise of the ceiling of the smoke component and improve the smoke detector response speed and ventilation system.

Case Study of a Field Test for a Smoke Control System Using Sandwich Pressurization (샌드위치 가압을 이용하는 연기제어 시스템의 현장실험 사례 연구)

  • Kim, Jung-Yup;Ahn, Chan-Sol
    • Fire Science and Engineering
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    • v.30 no.5
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    • pp.87-92
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    • 2016
  • Amid the growing number of high-rise complex buildings in Korea, efficient smoke prevention technology in a fire is required and as an alternative of a mechanical smoke control system in high-rise buildings, the use of a smoke control system using sandwich pressurization has been on the rise. In such a system, the appropriate pressure difference and the data for designing the air supply and exhaust flow rate are necessary to prevent the spread of smoke and offer a tenable evacuation environment. As part of such effort, this paper presents a field test process and result after testing a building where such a smoke control system using sandwich pressurization has been installed. A ventilation rate of 6 cycles per hour were applied to simulate the air exhaust flow rate on a fire floor and the air supply flow rate on the floors above and below the fire floor. As a result of the system operation, pressure difference of approximately 260 Pa between the 12th floor of a fire and the 13th floor was generated. The over pressure of the experiment has a serious effect on the evacuation or fire compartment so that it is necessary to examine the improvement.

Developements of Recognition Fire Levels based on Fuzzy Inference System (퍼지인지시스템을 통한 화재상황인식 모델개발)

  • Jin, Hyun-Soo
    • Proceedings of the KAIS Fall Conference
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    • 2011.05a
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    • pp.393-395
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    • 2011
  • 기존의 화재 감시 시스템은 보통 연기, CO 혹은 온도와 온도의 변화량을 가지고 화재 여부를 판단하였다. 대부분의 각각의 센서에서 측정된 값을 가지고 미리 설정한 값과 비교하여 기준을 넘었을 경우에 화재라고 결정한다.건물 내부에 화재가 발생하였을 경우에는 연기와 고열로 인하여 접근이 어려울 경우가 대부분이다. 사람의 손이 닿지 않는 경우에 화재 감시반 센서모듈을 통하여 고열과 가득한 연기로 인한 내부 환경을 판정하여서 화재상황을 인식하는 방식을 제안한다.

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Real-time Smoke Detection Based on Colour Information, Morphological and Dynamic Features of the Smoke (연기의 색 정보, 형태학적 및 동적 특징 기반의 실시간 연기 검출)

  • Kim, Hyun-Tae;Park, Jang-Sik
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.1
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    • pp.21-26
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    • 2015
  • In this paper, we propose a system which can detect the smoke in real time from the high-quality IP camera. For real-time processing, open directly the RTSP streams transmitted from the IP camera using the library FFmpeg as opening a video file. To recognize smoke, color information and morphological characteristics of smoke, as well as the dynamic characteristics of the smoke also considered for candidate regions. To combine the characteristics of the various smoke effectively, the Adaboost algorithm, was used as the boosting algorithm finally. Through the experiments with input videos from IP camera, the proposed algorithms were useful to detect smokes.

Analysis of Performance-based Design Guides of Smoke Control System (성능위주 연기제어 설계지침 분석)

  • Kim, Jung-Yup
    • Fire Science and Engineering
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    • v.30 no.4
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    • pp.6-13
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    • 2016
  • With regard to smoke control system, the design guidelines of smoke exhaust for accommodation and smoke control for evacuation stairs and vestibule has been proposed domestically, but after reviewing the applicability to modern buildings that tend to be larger, higher and complex, a smoke control system according to domestic design guidelines might have difficulty in securing the safety from smoke in a fire. Therefore, it is necessary to adopt the performance-based design of a smoke control system that can enhance the safety and integrate the smoke control functions and design depending on the characteristics of fire and building structure in the case of fire in a large, high-rise, and complex building. This study analyzed the domestic design guidelines of a smoke control system and this paper proposes the part requiring improvement, and examines the legal system and guidelines on performance-based design of smoke control system in foreign countries.

아트리움의 Ceiling Jet 온도 예측 모델 비교

  • 김운형;김종훈;이수경
    • Proceedings of the Korean Institute of Industrial Safety Conference
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    • 2000.06a
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    • pp.144-149
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    • 2000
  • 최근에 국내에서도 대형 쇼핑 몰이나 건축물에 부속된 아트리움 등 대형공간을 도입한 건축물이 점차 증가하고 있다. 따라서 건물 방화 설계자는 화재시 공간의 특성에 따른 열과 연기의 확산과 이동에 관한 정량적인 해석이 필요하지만 국내에서는 아직 이에 대한 관련 규정이 미비한 실정이다. 대형 공간의 공학적인 해석은 크게 실험을 통하여 제시되는 계산공식을 이용하거나 대상 공간의 화재 조건을 예측하는 컴퓨터 모델을 이용할 수 있다. 외국의 경우, 미국의 NFPA 92B는 이러한 공간에 대한 제연 시스템에 적용하는 공식과 계산식을 제시하고 있으며 이를 통하여 연기나 열 감지기의 작동시간, 연기 발생비율, 연기 층의 하강을 제어하기 위한 배기량 등을 계산할 수 있다. (중략)

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