• Title, Summary, Keyword: Noise Source Identification

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Source Identification in an Interior Sound Field (반사파가 존재하는 실내 공간에서의 음원 탐지 방법)

  • 최영철;김양한
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • pp.1203-1209
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    • 2001
  • Identification of noise sources, their locations and strengths, have been taken great attention. The method that can identify noise sources normally assumes that noise sources are located at a free field. However, the sound in a reverberant field consists of that coming directly from the source plus sound reflected or scattered by the walls or objects in the field. In contrast to the exterior sound field, reflections are added to sound field. Therefore, we have to consider the reverberation effect on the source identification method. The main objective of this paper is to identify noise source in the reverberant field. At fist, we try to identify noise sources in a rigid wall enclosure using the spherical beamforming method. In many case of practical interest, the wall has an admittance so that complex reflection process occurred. In this paper, we assumed the complex reverberant field in the enclosure to be the sum of plane waves with random incidence and magnitude. Then the effects of reverberant field at interior source identification have been studied theoretically as well as experimentally

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Camera Source Identification of Digital Images Based on Sample Selection

  • Wang, Zhihui;Wang, Hong;Li, Haojie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.7
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    • pp.3268-3283
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    • 2018
  • With the advent of the Information Age, the source identification of digital images, as a part of digital image forensics, has attracted increasing attention. Therefore, an effective technique to identify the source of digital images is urgently needed at this stage. In this paper, first, we study and implement some previous work on image source identification based on sensor pattern noise, such as the Lukas method, principal component analysis method and the random subspace method. Second, to extract a purer sensor pattern noise, we propose a sample selection method to improve the random subspace method. By analyzing the image texture feature, we select a patch with less complexity to extract more reliable sensor pattern noise, which improves the accuracy of identification. Finally, experiment results reveal that the proposed sample selection method can extract a purer sensor pattern noise, which further improves the accuracy of image source identification. At the same time, this approach is less complicated than the deep learning models and is close to the most advanced performance.

Source Identification in an Interior Sound Field (실내 공간에서의 음원 탐지 방법)

  • 김양한;최영철
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.12 no.7
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    • pp.520-526
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    • 2002
  • Identification of noose sources, their locations and strengths, has been taken great attention. The methods that can identify noise sources normally assume that noise sources are located in a free field. However, the sound in a reverberant field consists of that coming directly from the source plus sound reflected or scattered by the walls or objects in the field. In contrast to the exterior sound field. reflections are added to sound field. Therefore, we haute to consider the reverberation effect on the source identification method. The main objective of this paper is to identify noise source in the reverberant field. At fist, we try to identify noise sources in a rigid wall emc;psire using the beamforming method. In many cases of practical interest, the wall has admittance so that random reflections occur in an enclosure. In this paper, we assumed the complex reverberant field in the enclosure to be the sum of plane caves with random Incidence and magnitude. Then we try to explain effects of reverberant field at interior source identification.

Identification of Noise Source of the HVAC Using Complex Acoustic Intensity Method (복소음향인텐시티법을 이용한 HVAC의 소음원 검출)

  • Yang, Jeong-Jik;Lee, Dong-Ju
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.20 no.11
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    • pp.1089-1096
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    • 2010
  • The relation between the vibration induced from machinery and the radiated sound is complicated. Acoustic intensity method is widely used to obtain the accuracy of noise measurement and noise identification. In this study, as groundwork, the complex acoustic intensity method is performed to identify noise source and transmission path on different free space point source fields. As an industrial application, the complex acoustic intensity method is applied to HVAC to identify sound radiation characteristics in the near field. Experimental complex acoustic intensity method was applied to HVAC, it is possible to identify noise sources in complicated sound field characteristics which noise sources are related with each other, and certificate the validity of complex acoustic intensity. Especially, it can be seen that complex acoustic intensity method using both of active and reactive intensity is vital in devising a strategy for identification of noise. Also, the vector flow of acoustic intensity was investigated to identify sound intensity distributions and energy flow in the near field of HVAC.

Application of Sound Intensity Camera for the Noise Source Analysis (소음원 규명을 위한 음향 인텐시티 카메라 응용)

  • Lee, Chang-Myung;Bae, Young-Wook
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • pp.229-230
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    • 2009
  • A method is suggested for the noise source identification using the sound intensity method. The suggested method does not need to install the grid using wire or thread during the sound intensity measurement for the noise source identification. It utilizes a camera to show the grid on the screen not installing the real grid for the sound intensity method.

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Investigation of Source Modelling for External Noise Prediction of Railway Vehicles (철도차량 외부소음 예측을 위한 음원모델에 관한 고찰)

  • Kim, Jong-Nyeun
    • Proceedings of the KSR Conference
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    • pp.1069-1077
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    • 2009
  • For external noise prediction of railway vehicles, sophisticated individual source modelling as well as appropriate noise propagation model from the sources is necessary to ensure the accuracy of the predicted results and contributions of each equipment to the overall noise levels. Accurate and reasonable identification procedures of sound sources of equipment including source strength, directivity and positions installed in the train play an important role in a prediction model, since it is not easy to establish a simple model for the sources with a single rule due to the complexity of source characteristics of equipment in size and directivity pattern. This paper guidelines practical considerations for identification of noise sources in railway vehicles including typical source characteristics of several sub-systems that emits noise to the environment, particularly for electric multiple unit(EMU), and verify effectiveness of assumptions used in the modelling of equipment by measurement with a simple part. The predicted external noise level of a complete train using Exnoise, which was developed by Hyundai-Rotem and has been verified in the a lot of field-tests, incorporating source modelling considered in this paper shows close correlation with the measured ones.

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A Study on Noise Identification of Compressor Based on Two Dimensional Complex Sound Intensity (Two Dimensional Complex Sound Intensity를 이용한 압축기 소음원 규명에 관한 연구)

  • 안병하;김영수
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.1
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    • pp.83-92
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    • 2000
  • Sound intensity method is well known as a visualization technique of sound field or sound propagation in noise control. Sound intensity or energy flux is a vector quantity which describes the amount and the direction of net flow of acoustic energy at a given position. Especially two dimensional sound intensity method is very useful in evaluating periodic characteristics and acoustic propagation mode of noise source. In this paper, we have studied the noise source Identification, acoustic sound field analysis, and characteristics of noise source of rotary compressor and scroll compressor for air conditioner using complex sound intensity method. Also we proposed a now method of time domain analysis which is used in evaluating of position of noise source in rotary and scroll compressor in this paper This paper presents the advantage, simplicity and economical efficiency of this method by analysing the characteristics of noise source with two dimensional complex sound intensity simultaneously.

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Identification of Noise Sources in Scroll Compressor for Air-Conditioner

  • Lee, Jin-Kab
    • Journal of Mechanical Science and Technology
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    • v.14 no.6
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    • pp.597-604
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    • 2000
  • Low noise of air-conditioners is one of the most important issues because of the users' strong demand. The main source of noise in an air-conditioner is the compressor. Therefore, noise reduction in a compressor is quite significant as an element technology in the air-conditioner field. Recently, scroll compressors are widely used, because they feature low noise, due to less pulsation of gas pressure, than that of rotary compressors. For reduction of noise, the source of noise must be identified. This paper presents a detailed analysis to identify the noise source and shows the dominant factors of noise of the scroll compressor, which will make it possible to design a scroll compressor with low noise.

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Noise Characteristics of Rapier Loom by Noise Source Analysis (소음원 분석에 의한 직기 구조물의 소음 특성)

  • Na, Hae-Joong;Chun, Du-Hwan
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • pp.254-257
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    • 2005
  • Locations and emission characteristics of noise source of rapier loom are important factors greatly. So, noise characteristics of rapier loom were investigated by the noise source identification as a part of experimental methods in this study. To identify the noise sources of the rapier loom sound intensity was measured under machine operation. In addition, frequency spectra of the sound at operator position was measured along with sound intensity to help identify the noise characteristics of the rapier loom. The results indicate that the sound power level occurs along the rapier loom.

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Development of the Analysis Tool for Contribution from a Noise Source with LabVIEW (랩뷰를 이용한 소음원 기여도 분석 툴 개발)

  • Choi, Ki-Soo;Jeong, Wei-Bong
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • pp.650-651
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    • 2008
  • In this thesis, source identification tool for NI-PXI equipment is developed with LabVEIW. For the purpose of examining propriety of developed tool, simulation is performed with several signals that have different frequency range. After checking the coherence functions for concerned frequency domain, an experiment is conducted on an evaporator that cause the principal noise of a refrigerator.

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