• 제목/요약/키워드: siren

검색결과 36건 처리시간 0.037초

KRISS 에서 수행된 음향관련 교정 및 시험 검사 동향 (Tendency of Calibration and Test for Acoustic Field in KRISS)

  • 서재갑;정성수;조문재;서상준
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2000년도 춘계학술대회논문집
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    • pp.1767-1771
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    • 2000
  • We report the number of calibration and test for acoustic field which were conducted in KRISS between the year of 1990 and 1999. The items contain sound level meter and calibrator for calibration and sound absorption coefficient, transmission loss, sound pressure level of siren, sound pressure level and power of acoustic instrument and relative accessories for test. The data show that the number of them have been increased continuously.

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송전선로 풍소음 발생 원인분석 및 저감대책 (Analysis and Mitigative Countermeasures of Wind Noise from Transmission Line)

  • 심순보;민병욱;김세현;이동일;신구용
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 추계학술대회 논문집 전력기술부문
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    • pp.35-37
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    • 2002
  • Most of the inhabitants living near power line complain wind noise from power line to be problems they can feel directly if there is no countermeasure to remove noise basically. Wind noise from power line happens by tower, insulators, conductor and others in their operating individually or complexly. Wind noise show us several forms like whistle, siren and bullfrog croaking as height of noise source is high and elastic wave tone with low frequency. This paper shows actual conditions and occurrence cause which may be investigated and analyzed on the wind noise, and also prepares mitigation methods and introduces a working sample to reduce a wind noise.

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안드로이드 플랫폼 기반의 SOS 어플리케이션 설계 및 구현 (A Design and Implementation of SOS Application Based on Android Platform)

  • 이원주;유준;노정욱;김용성
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2018년도 제58차 하계학술대회논문집 26권2호
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    • pp.221-222
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    • 2018
  • 본 논문에서는 android의 accelerometer sensor를 활용하여 예기치 못한 상황에 사용자를 보호 할 수 있는 어플리케이션을 설계하고 구현한다. 이 어플리케이션은 스마트폰을 흔들 때 accelerometer sensor가 센싱하여 어플리케이션을 자동으로 실행한다. 또한 경광등 소리를 울리고 사용자의 위치정보를 어플리케이션에 저장된 지인의 연락처로 전송한다. 사용자는 자신이 빈번하게 다니는 경로를 저장할 수 있으며, 이 경로에 대한 정보를 연락처에 저장된 지인들에게 제공한다. 이 어플리케이션을 사용하는 사용자는 범죄로부터 자신을 지키고, 위험한 경우 주변 사람들에게 도움을 요청할 수 있는 기능을 제공한다.

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난류 예혼합 연소기에서의 흡입 유동 섭동에 대한 화염의 동적 거동 (Flame Dynamic Response to Inlet Flow Perturbation in a Turbulent Premixed Combustor)

  • 김대식
    • 한국연소학회지
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    • 제14권4호
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    • pp.48-53
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    • 2009
  • This paper describes the forced flame response in a turbulent premixed gas turbine combustor. The fuel was premixed with the air upstream of a choked inlet to avoid equivalence ratio fluctuations. To impose the inlet flow velocity, a siren type modulation device was developed using an AC motor, rotating and static plates. Measurements were made of the velocity fluctuation in the nozzle using hot wire anemometry and of the heat release fluctuation in the combustor using chemiluminescence emission. The test results showed that flame length as well as geometry was strongly dependent upon modulation frequency in addition to operating conditions such as inlet velocity. Convection delay time between the velocity perturbation and heat release fluctuations was calculated using phase information of the transfer function, which agreed well with the results of flame length measurements. Also, basic characteristics of the flame nonlinear response shown in the current test conditions were introduced.

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2차원적 음원추적에 관한 연구 (A Study on Acoustic Sound Tracking System on 2-Dimensional Plain)

  • 문성배;전승환
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 1996년도 The Korean Institute of Navigation 1996년도 한·중 국제학술 심포지움 및 추계학술발표회 논문집
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    • pp.117-124
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    • 1996
  • When navigating in or near an area of restricted visibility it is necessary to be heard the whistle bell and/or the siren of lighthouses or ships at times. Even though we can get the brief informations about the property of sound the direction and range of a sound radiator it is not easy to get the accurate informations for decision making. generally the audio frequency is known as 16-20,000Hz but the earshot is shorten and discrimination of sound is more difficult when there is some noise. The sound pressure is 60dB at the moment when human speaks 1 meter away. Usually the noise pressure in a silent room is 40dB and 60dB on the quiet street. In this study we suggest the basic algorithm to trace the direction and range of the source radiator using the signal received through not a physical sense but the microphone sensors and a series of signal of signal processing.

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2차원적 음원추적에 관한 연구 (A Study on 2-Dimensional Sound Source Tracking System)

  • 문성배;전승환
    • 한국항해학회지
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    • 제20권4호
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    • pp.71-79
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    • 1996
  • When navigating in or near an area of restricted visibility, it is necessary to be heard the whistle, bell and/or the siren of lighthouses or ships at times. Even though we can get the brief informations about the property of sound, the direction and range of a sound radiator, it is not enough to get the accurate informations for decision making. Generally the audio frequency is known as 16~20, 000Hz, but the earshot is shorten and discrimination of sound is more difficult when there is some noise. The sound pressure is 60dB at the moment when human speaks 1 meter away. Usually the noise pressures are 40dB in a silent room and 60dB on the quiet street, respectively. It this study, the basic algorithm and a method of signal processing are suggested to trace the direction and range of the source radiator using the signals received through not a physical sense but the microphone sensors.

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화재감지기에 사물인터넷을 적용한 플랫폼 개발에 관한 연구 (A Study on Platform Development of Fire Detector applying IoT)

  • 이해건;곽동걸;이봉섭;정도영
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2018년도 추계학술대회
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    • pp.1-3
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    • 2018
  • When a fire is detected by a sensor of a fire detector, the fire is notified to the manager through the siren. However, if the manager is not indoors, prompt action may not be taken in the event of a fire. In this study, we would like to propose a platform system for fire prevention applying IoT to prevent problems that arise when building manager is absent. This paper presents the structure and operation principle of fire prevention platform system design using IoT, describes the overall system design through fire detector H/W design, micom S/W design and Android application development, and is expected to develop a system that can respond a little faster in case of fire.

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긴급 상황 인식 및 자동 알림 신고 앱 시스템 (The App System For Scream Awareness, Automatic Siren Alarm, etc)

  • 유희진;문지영;손효정;장세은;이경준
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2022년도 추계학술발표대회
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    • pp.890-892
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    • 2022
  • 스마트폰 모바일 앱을 이용한 범죄 예방 시스템은 다양하게 제안되고 개발되어 왔으나, 생활 안전의 유지를 위한 경찰 등 공공 서비스를 위한 인력은 매우 부족한 실정이다. 본 연구는 스마트폰 이용자가 "범죄예방 이론"에 따라 "범죄 취약환경에 및 감시 등 방어기제 부재" 상황에서 신속하게 벗어날 수 있도록 도움을 주는 앱 시스템 필요성 인식에 따라 "긴급 상황 인식 및 자동 알림 신고 앱 시스템"을 기획하여 개발한 결과를 기술하였다.

소규모 건설공사현장 작업자의 화재경보음 인지 실험 (Experiment on the Perception of Fire Alarm Sound of Small Construction Site Workers)

  • 문필재;김서영;공하성
    • 문화기술의 융합
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    • 제9권1호
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    • pp.153-160
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    • 2023
  • 이 연구는 소규모 건설 현장에서의 사이렌 및 휴대용 확성기에 대한 작업자의 화재경보음 인지 실험에 관한 연구이다. 사이렌 경보음 인지 분석 결과 지상 1층, 지상 2층, 지상 4층에서 측정한 경우 1층 보다는 지상 4층에서사이렌 경보음 인지 불능이 높게 나타났으며, 지상 1층의 경우 1명이 전부 인지 불능이었다. 지상 2층의 경우 1명이 마지막 3차에서는 인지를 못하였으며, 다른 1명은 3번 모두 인지 불가였다. 지상 4층의 경우에는 3명이 3차 실험 모두 인지 불능으로 나타났다. 휴대용 확성기 경보음 인지 분석 결과 지상 1층의 경우 1명이 전부 인지 불능이였으며, 지상 2층의 경우 총 2명이 인지 불능의 상태를 확인 할 수 있었고, 마지막인 지상 4층의 경우에는 4명이 모두 인지 불능으로 나타났다. 인지를 하지 못한 실험자들은 모두 작업 공간 및 장애물로 인해 휴대용 확성기 경보음과 작업 소음을 구별하지 못한 것으로 나타났다.

Convolutional Neural Network based Audio Event Classification

  • Lim, Minkyu;Lee, Donghyun;Park, Hosung;Kang, Yoseb;Oh, Junseok;Park, Jeong-Sik;Jang, Gil-Jin;Kim, Ji-Hwan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권6호
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    • pp.2748-2760
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    • 2018
  • This paper proposes an audio event classification method based on convolutional neural networks (CNNs). CNN has great advantages of distinguishing complex shapes of image. Proposed system uses the features of audio sound as an input image of CNN. Mel scale filter bank features are extracted from each frame, then the features are concatenated over 40 consecutive frames and as a result, the concatenated frames are regarded as an input image. The output layer of CNN generates probabilities of audio event (e.g. dogs bark, siren, forest). The event probabilities for all images in an audio segment are accumulated, then the audio event having the highest accumulated probability is determined to be the classification result. This proposed method classified thirty audio events with the accuracy of 81.5% for the UrbanSound8K, BBC Sound FX, DCASE2016, and FREESOUND dataset.