• Title/Summary/Keyword: 음향 공동

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Case study on frequency bands contributing the single number quantity for heavy-weight impact sound based on assessment method changes (중량충격음 평가방법 변화에 따른 단일수치평가량 기여 주파수 대역 사례 분석)

  • Hye-kyung Shin;Sang Hee Park;Kyoung-woo Kim
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.6
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    • pp.565-571
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    • 2023
  • With the introduction of the post-verification system, the measurement of floor impact noise performance on-site has become mandatory, and the evaluation method has changed. To track the performance changes since the policy implementation, research is needed on how the characteristics of heavyweight impact sound change according to the varied evaluation method. In this study, we analyzed the contribution rate of the frequency band-specific sound pressure level on the single-number quantity for a multi-family housing unit with the same floor plan and floor structure, comprising 59 households, based on the changed impact sources and evaluation indicators. It is difficult to compare simply because the method of calculating contributions by frequency band according to the single-day evaluation is different, but the average contribution rate of 63 Hz was 80.8 % in the evaluation method before the introduction of the post-confirmation system (Tire measurement and evaluated as L'i,Fmax,AW), and the average contribution rate of 125 Hz was 19.2 %. The current evaluation method (rubber ball measurement and evaluation as L'iA,Fmax) shows that the contribution rate has decreased to 33.1 % on average at 50 Hz ~ 80 Hz, 58.7 % on average at 100 Hz ~ 160 Hz, 6.9 % on average at 200 Hz ~ 315 Hz, and 1.3 % on average at 400 Hz ~ 630 Hz. This result is a case analysis for the target apartment house, and it is necessary to analyze measurement data for more diverse apartment houses.

Salience of Envelope Interaural Time Difference of High Frequency as Spatial Feature (공간감 인자로서의 고주파 대역 포락선 양이 시간차의 유효성)

  • Seo, Jeong-Hun;Chon, Sang-Bae;Sung, Koeng-Mo
    • The Journal of the Acoustical Society of Korea
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    • v.29 no.6
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    • pp.381-387
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    • 2010
  • Both timbral features and spatial features are important in the assessment of multichannel audio coding systems. The prediction model, extending the ITU-R Rec. BS. 1387-1 to multichannel audio coding systems, with the use of spatial features such as ITDDist (Interaural Time Difference Distortion), ILDDist (Interaural Level Difference Distortion), and IACCDist (InterAural Cross-correlation Coefficient Distortion) was proposed by Choi et al. In that model, ITDDistswere only computed for low frequency bands (below 1500Hz), and ILDDists were computed only for high frequency bands (over 2500Hz) according to classical duplex theory. However, in the high frequency range, information in temporal envelope is also important in spatial perception, especially in sound localization. A new model to compute the ITD distortions of temporal envelopes in high frequency components is introduced in this paper to investigate the role of such ITD on spatial perception quantitatively. The computed ITD distortions of temporal envelopes in high frequency components were highly correlated with perceived sound quality of multichannel audio sounds.

A Name Recognition Based Call-and-Come Service for Home Robots (가정용 로봇의 호출음 등록 및 인식 시스템)

  • Oh, Yoo-Rhee;Yoon, Jae-Sam;Park, Ji-Hun;Kim, Min-A;Kim, Hong-Kook;Kong, Dong-Geon;Myung, Hyun;Bang, Seok-Won
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.360-365
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    • 2008
  • We propose an efficient robot name registration and recognition method in order to enable a Call-and-Come service for home robots. In the proposed method for the name registration, the search space is first restricted by using monophone-based acoustic models. Second, the registration of robot names is completed by using triphone-based acoustic models in the restricted search space. Next, the parameter for the utterance verification is calculated to reduce the acceptance rate of false calls. In addition, acoustic models are adapted by using a distance speech database to improve the performance of distance speech recognition, Moreover, the location of a user is estimated by using a microphone array. The experimental result on the registration and recognition of robot names shows that the word accuracy of speech recognition is 98.3%.

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An Electromagnetic Shock Wave Generator Employing a Solenoid Coil for Extracorporeal Shock Wave Therapy: Construction and Acoustical Properties (체외 충격파 치료술을 위한 솔레노이드 코일을 이용한 전자기식 충격파 발생기: 구성 및 음향학적 특성)

  • Choi Min Joo;Lee Jong Soo;Kang Gwan Suk;Paeng Dong Guk;Lee Yoon Joon;Cho Chu Hyun;Rim Geun Hie
    • The Journal of the Acoustical Society of Korea
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    • v.24 no.5
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    • pp.271-281
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    • 2005
  • An electromagnetic type shock wave generator suitable for extracorporeal shock wave therapy has been constructed by employing a solenoid coil. The Property of the shock waves produced by the shock wave generator was evaluated using a needle hydrophone. It was shown that, as the capacitor discharging voltage increased from 8 to 18 kV, the Positive Peak Pressure (P+) of the shock wave increased non-linearly from 10 to 77 Wa. In contrast. the negative peak Pressure (f) varied between -3.2 and -6.8 MPa. had its absolute maximum of -6.9 ma at 14 kV The peak amplitudes P+ measured repeatedly under the same voltage setting varied within $5\;\%$ from mean values and this is very small compared to about $50\;\%$ for electrohydraulic type shock wave generators. It could be observed, from the hydrophone signal recorded over 1 ms. several sequential acoustic impulses representing bubble collapses. namely. acoustic cavitation. induced by the shock wave. A technique based on wavelet transformation was used to accurately measure the time delay between the 1st and 2nd collapse known to be closely related to the shock strength. It was observed that the measured time delay increased almost linearly from 120 to $700\;{\mu}s$ with the shock wave Pressure P+ increasing from 10 to 77 MPa.

External Wind Noise Source Identification in Hyundai Aeroacoustic Wind Tunnel (현대 자동차 무향 풍동에서의 외부 소음원 파악 기술)

  • 정승균
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.05a
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    • pp.34-40
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    • 2001
  • Aeroacoustic technology to improve the acoustic comfort in high-speed became a major topic in vehicle development process. Although most of wind noise reduction and sound quality improvements are possible with full vehicle, the countermeasures should be applied at the early design stage. Acoustic holography technology was used to identify the external wind noise sources of a vehicle in Hyundai Aeroacoustic Wind Tunnel. Microphone self-noise reduction techniques and several reference microphone positions are investigated in order to obtain proper results.

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A Study on the Characteristics of Concentric Pipe Resonators (동심관형 공명기의 음향학적 특성 연구)

  • 전영두;김양한
    • Journal of KSNVE
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    • v.8 no.1
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    • pp.49-56
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    • 1998
  • Although the fundamental resonance frequency of a Helmholts resonator is mainly determined by the volume of the resonator and the size of the hole, it is also affected by the position of the hole and the shape of the resonator. In this study, the inertial end corrections and the fundamental resonance frequencies of concentric pipe resonators are estimated for various positions of the hole and shapes of the resonator by using the 3-D analysis. For an effective noise reduction in concentric pipe resonators with several holes, an optimal spatial hole-distribution is proposed based on the calculated transmission loss for various hole-distributions and sizes of holes.

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Noise Reduction Characteristics of a Double Air-gap Resonator (이중 에어갭 공명기의 소음 저감 특성)

  • 강상욱;이장무
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2003.11a
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    • pp.202-207
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    • 2003
  • In the paper, the noise reduction characteristics of a double-gap resonator, which is installed inside an enclosed cavity and is composed of two air-gaps and two partition sheets, are introduced by theoretical analyses and experimets. Analysis for a simple, theoretical model reveals that the double-gap resonator is more effective than the single-gap resonator that consists of an air-gap and a partition sheet, in that the former requires a smaller space than the latter. Furthermore, this theoretical conclusion is verified by comparison experiments using an actually manufactured enclosed cavity, of which the boundary surfaces are made of thick, stiff panels that can be assumed as rigid walls.

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Reduction of Structure-borne Noises in a Two-Dimensional Cavity using Optimal Treatment of Damping Materials (제진재의 최적배치를 통한 이차원 공동의 구조기인소음 저감)

  • Lee, Doo-Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.30 no.12 s.255
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    • pp.1581-1587
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    • 2006
  • An optimization formulation is proposed to minimize sound pressures in a two-dimensional cavity by controlling the attachment area of viscoelastic unconstrained damping materials. For the analysis of structural- acoustic systems, a hybrid approach that uses finite elements for structures and boundary elements for cavity is adopted. Four-parameter fractional derivative model is used to accurately represent dynamic characteristics of the viscoelastic materials with respect to frequency and temperature. Optimal layouts of the unconstrained damping layer on structural wall of cavity are identified according to temperatures and the amount of damping material by using a numerical search algorithm.

Acoustic Mode Analysis to Identify Cavity Noise of Scroll Compressor (스크롤 압축기의 공동 소음 규명을 위한 음향모드 분석)

  • Kim, Seung-Yup;Lee, Dong-Soo;Suh, Jeong-Hwan;Heo, Dae-Nyoung
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2004.11a
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    • pp.83-88
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    • 2004
  • Acoustic modes of internal region of 4-hp scroll compressor are identified by measuring transfer functions between a reference and 84 measuring points. The corresponding acoustic mode-shapes and natural frequencies were calculated by analysis software SYSNOISE. There exist two clearly distinguishable dipole modes of vertical and horizontal direction and a single quadrupole mode in the frequency region of interest. It shows that the natural frequencies of the identified modes are linearly sensitive to suction pressure (Ps) but relatively in sensitive to discharge pressure (Pd) in operating condition.

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Clustering and classification of residential noise sources in apartment buildings based on machine learning using spectral and temporal characteristics (주파수 및 시간 특성을 활용한 머신러닝 기반 공동주택 주거소음의 군집화 및 분류)

  • Jeong-hun Kim;Song-mi Lee;Su-hong Kim;Eun-sung Song;Jong-kwan Ryu
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.6
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    • pp.603-616
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    • 2023
  • In this study, machine learning-based clustering and classification of residential noise in apartment buildings was conducted using frequency and temporal characteristics. First, a residential noise source dataset was constructed . The residential noise source dataset was consisted of floor impact, airborne, plumbing and equipment noise, environmental, and construction noise. The clustering of residential noise was performed by K-Means clustering method. For frequency characteristics, Leq and Lmax values were derived for 1/1 and 1/3 octave band for each sound source. For temporal characteristics, Leq values were derived at every 6 ms through sound pressure level analysis for 5 s. The number of k in K-Means clustering method was determined through the silhouette coefficient and elbow method. The clustering of residential noise source by frequency characteristic resulted in three clusters for both Leq and Lmax analysis. Temporal characteristic clustered residential noise source into 9 clusters for Leq and 11 clusters for Lmax. Clustering by frequency characteristic clustered according to the proportion of low frequency band. Then, to utilize the clustering results, the residential noise source was classified using three kinds of machine learning. The results of the residential noise classification showed the highest accuracy and f1-score for data labeled with Leq values in 1/3 octave bands, and the highest accuracy and f1-score for classifying residential noise sources with an Artificial Neural Network (ANN) model using both frequency and temporal features, with 93 % accuracy and 92 % f1-score.