• 제목/요약/키워드: Noise Standard

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바닥충격음 관련 국내 실험실 현황 및 고찰 (Review of laboratory test facilities for measuring impact sound insulation in Korea.)

  • 장길수;정갑철;김재수;김선우
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2001년도 춘계학술대회논문집
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    • pp.234-238
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    • 2001
  • This study aims to review the present conditions of domestic laboratory test facilities for measuring impact sound insulation. The result will be useful to establish the new Korean Standard to coincide with ISO 140-6.

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$L_{eq}$의 실측값을 이용한 도로교통소음 환경기준 설정에 관한 연구 (A Study on Road Traffic Noise Environment Standard Establishment using Measurement Values of $L_{eq}$)

  • 김병삼;최홍철
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2006년도 춘계학술대회논문집
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    • pp.277-282
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    • 2006
  • Road traffic noise is not produced by any one factor rather occurs as a composition of various factors. Its occurrence is made by running engine noise, tire frictional, and exhaust noise etc. The quality of the noise depends on the size of the vehicles, rotation and engine speed, vehicle load, package state of the road and incline etc. The occurrence of noise level of heavy trucks appears louder than smaller vehicles and the noise levels produced differs according to speed and load etc between similar size vehicles. Other factors such as traffic density, average speed, mixing rate of heavy vehicles, and the distance between vehicles also generate road traffic noise. In this paper we examine 2, 4, and 6-lane roads in Jeonju. Consequently, this study examined the means used to measure road traffic noise. It was found that when there is a large traffic density and the average velocity is below 70 km/hr, the noise level could receive a relative proper value by the current measuring means. But in the case of night-time, it was found that the current measuring method is inapposite.

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도로 교통소음의 환경평가 단위인 24시간 등가소음레벨에 대한 적정성 검토에 관한 연구 (A Study on Examination of Propriety about L eq24 in Road Traffic Noise Environment Standard Evaluation)

  • 김병삼;지창헌;최홍철
    • 한국소음진동공학회논문집
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    • 제17권3호
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    • pp.274-281
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    • 2007
  • Road traffic noise is not produced by any one factor rather it occurs as a composition of various factors. Its occurrence is made by running engine noise, tire frictional, and exhaust noise etc. The quality of the noise depends on the size of the vehicles, rotation and engine speed, vehicle load, package state of the road and incline etc. The occurrence of any noise level of heavy trucks appears louder than smaller vehicles and the noise levels produced differs according to speed and load etc between similar size vehicles. Other factors such as traffic density, average speed, mixing rate of heavy vehicles, and the distance between vehicles also generate road traffic noise. In this paper we examine 2, 4, and 6-lane roads in Jeonju. Consequently, this study examines the means used to measure road traffic noise. It was found that when there is a large traffic density and the average velocity is below 70 km/h, the noise level could receive a relative proper value by the current measuring means. But in the case of night-time, it was found that the current measuring method is inapposite.

비행조건에 따른 항공기 성능을 반영한 소음기준 분석방법 연구 - A330-300 항공기와 김포국제공항을 중심으로 - (A Study on the Analysis Method of Noise Standard Reflecting Aircraft Performance according to Flight Condition - Focusing on A330-300 at Gimpo International Airport -)

  • 이명식;장성우;이준호
    • 한국항공운항학회지
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    • 제31권1호
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    • pp.37-42
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    • 2023
  • In an effort to reduce aircraft noise, noise abatement areas are designated and notified, and noise abatement procedures are implemented. However, residents in noise abatement areas are increasingly complaining about the increase in noise, and airlines are exceeding the criteria for noise. In this study, A330-300 airplane set flight conditions that are predicted to generate the most noise when taking off 32 runway at Gimpo International Airport, and predicted the noise as the NPD curve of the INM and AEDT programs. As a result of the analysis, it was considered that the noise at a specific point would generate higher noise than the noise criteria. Therefore, to avoid exceeding aircraft noise criteria at a particular point, supplementing the departure procedures by reflecting aircraft performance under flight conditions would reduce complaints from both airlines and local residents.

초음파 영상에서의 스페클 잡음 제거 및 에지 검출 (Speckle noise removing and edge detection in ultrasonic images)

  • 원철호;김명남;구성모;조진호
    • 전자공학회논문지B
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    • 제33B권4호
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    • pp.72-80
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    • 1996
  • In this paper, variable windowing mean filter to remove speckle noise and a measure to detect thin edge in ultrasonic images are proposed. Because ultrasonic images are corrupted by speckle noise showing a granular appearance, good edge detection is difficult. As a result, noise removing filter is needed in preprocessing stage. The speckle noise removing filter is based on mean filter whose window size is changed by the ratio of standard deviation to mean for image signal and noise signal in local area. And the measure expressed the difference of means between tow windows is used for detecting thin edge in filtered image. Results show that variable windowing mean filter removes speckle noise effectively, and proposed measure is useful in detecting thin edge.

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VoIP 환경에서의 잡음제거를 위한 최적화된 위너 필터 (Optimized Wiener Filter for Noise Reduction in VoIP Environments)

  • 정상배;이성독;한민수
    • 대한음성학회지:말소리
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    • 제64호
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    • pp.105-119
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    • 2007
  • Noise reduction technologies are indispensable to achieve acceptable speech quality in VoIP systems. This paper proposes a Wiener filter optimized to the estimated SNR of noisy speech for the noise reduction in VoIP environments. The proposed noise canceller is applied as a pre-processor before speech encoding. The performance of the proposed method is evaluated by the PESQ in various noisy conditions. In this paper, the proposed algorithm is applied to G.711, G.723.1, and G.729A which are all VoIP speech codecs. The PESQ results show that the performance of our proposed noise reduction scheme outperforms those of the noise suppression in the IS-127 EVRC and the ETSI standard for the advanced distributed speech recognition front-end.

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