• Title/Summary/Keyword: ACF/IACF

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ACF/IACF and Zwicker Parameters Analysis on Floor Impact Noise (표준바닥충격원의 ACF/IACF 및 Zwicker 파라메타 분석)

  • ;;Yoichi Ando
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.11b
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    • pp.945-950
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    • 2001
  • Floor impact noise has been evaluated by investigating the temporal and spectral characteristics of the noise. The noises generated by different impactors were analyzed to find out whether there is any correlation with the factors of ACF /IACF (Autocorrelation Function/Inter-aural Cross-correlation Function) [1] and Zwicker parameters [2]. Experiments were undertaken to compare the objective and subjective parameters of the floor impact noises generated by a bang/tapping machine, a rubber ball [3], and a walker. As a result, it was found that $\phi$ (0) and IACC extracted from ACF/IACF, and Loudness, Unbiased Annoyance from Zwicker parameters showed high correlation with subjective evaluations of loudness concerning floor impact noises. In addition, it was revealed that jumping is similar to the ball.

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A study on the evaluation technique of floor impact noises using Cross-matching and AAS (Cross-matching과 AAS에 의한 바닥충격음 평가기술에 관한 연구)

  • Jeong, Young;Kim, Jeong-Mi;Jeon, Jin-Yong
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2000.06a
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    • pp.172-176
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    • 2000
  • A series of preliminary experiments were carried out to quantify the annoyance are noisiness caused by floor impact noise. From the results of the experiments. the heavy impact source was found to be felt louder and noisier than the light impact source. Measurements of noise were also conducted by a diagnostic system based on the model(the model consists of the autocorrelators and the cross-correlation for signals arriving at two ear entrants) of the human auditory-brain system. Physical factors in the model were calculated by use of the ACF(autocorrelation function) and IACF(interaural cross correlation function) of binaural signals. From the ACF/IACF analysis, it was found that perceived loudness of floor impact noise could be represented by the factors of the ACF/IACF model.

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Sound Quality Characteristics for Interior Noise of High Speed Train (음질평가를 통한 고속철도 실내소음의 객관적, 주관적 특성 분석)

  • Park, Jun-Hong;Park, Buhm;Kim, Dong-Kyu;Choi, Sung-Hoon
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2010.05a
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    • pp.510-510
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    • 2010
  • 우리나라에서 고속철도는 이미 중요한 대중교통수단 중 하나가 되었으며 향후에도 운행구간을 확대할 예정인 만큼 승객수도 더욱 증가할 것으로 보인다. 또한 승객수가 증가하는 만큼 정숙한 실내환경의 조성 또한 요구되고 있다. 하지만 현재 철도차량 소음에 관한 연구는 대부분 철도 외부에서 방사되는 소음에 한정되어 있으며 철도차량의 내부 소음 특성에 대한 연구는 미비한 상황이다. 현재 국내 환경소음에 대한 규정은 음압레벨만을 기준으로 하고 있지만 실제로 사람이 소음에 대하여 느끼는 청감특성을 나타내기에는 음압레벨만으로는 부족하다. 사람의 청감특성을 효과적으로 반영하기 위하여 음질(Sound Quality)평가의 방법에 대해 현재 활발하게 연구되고 있다. 본 연구에서는 국내에서 운행중인 고속철도 실내 소음의 특성에 대하여 연구하였다. 음압레벨과 loudness의 관계에 대하여 분석하였고 Zwicker parameter과 ACF, IACF 분석을 통하여 객관적인 음질평가를 실시하였다. 또한 청감실험을 통하여 주관적인 음질평가를 수행하여 청감특성에 대하여 분석하고 객관적 평가의 결과를 검증하였다.

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Adsorption of Nitrogen Oxides on Manufactured Impregnated Activated Carbon Fibers with Potassium Hydroxide

  • Kim, Hyun-Jin;Lee, Young-Whan;Choi, Dae-Ki;Lee, Eun-Il
    • Carbon letters
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    • v.3 no.4
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    • pp.198-204
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    • 2002
  • In this paper, impregnated activated carbon fiber (IACF) was manufactured to pitch-based activated carbon fibers (ACF) with potassium hydroxide (KOH) by using wet impregnation method to raise nitrogen oxides ($NO_x$) adsorptivity. The properties of IACF were observed using EPMA, TGA and DSC and $NO_x$ adsorptivity was observed at high and low temperature. Before and after adsorption was analyzed using ToF-SIMS for examine surface characterization of adsorbed $NO_x$. The results showed that the better adsorptivity appeared for increasing KOH ratio. So, $NO_x$ adsorptivity showed result that is proportional between KOH and the adsorbed amount. On the other hand, adsorbent that manufactured without washing was better $NO_x$ adsorptivity than adsorbent that manufactured with washing. The behavior of adsorption show that crossing time of NO and $NO_2$ delayed for a rising adsorptivity. And NO ratio increased but $NO_2$ ratio decreased according as KOH ratio increases. $NO_x$ was confirmed through surface analysis that remain in $NO_2^-$ and $NO_3^-$ form on IACF surface.

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Interior Noise Characteristics in Japanese, Korean and Chinese Subways

  • Soeta, Yoshiharu;Shimokura, Ryota;Jeon, Jin Yong;Lee, Pyoung Jik
    • International Journal of Railway
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    • v.6 no.3
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    • pp.120-124
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    • 2013
  • The aim of this study was to clarify the characteristics of interior noise in Japanese, Korean, and Chinese subways. The octave-band noise levels, A-weighted equivalent continuous sound pressure level ($L_{Aeq}$) and parameters extracted from interaural cross-correlation/autocorrelation functions (ACF/IACFs) were analyzed to evaluate the noise inside running train cars quantitatively and qualitatively. The average $L_{Aeq}$ was 72-83 dBA. The IACF/ACF parameters of the noise showed variations in their values, suggesting they are affected by the characteristics of the trains running, wheel-rail interaction, and cross-section of the tunnels.

A Study on Perceptual Evaluation of Noise Sources in Living Environment (생활소음의 감성적 평가에 관한 연구)

  • 전진용;구민우;조문재
    • Journal of KSNVE
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    • v.11 no.3
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    • pp.443-448
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    • 2001
  • The subjective unwantedness felt from the noise sources in living environment has been evaluated by investigating the limit of perceptual loudness of the noise. The noise limits were selected by the subjects. And the noises were analyzed to find out whether there is any correlation with Zwicker parameters and ACF/IACF factors. It seemed that the loudness of noise from vacuum cleaner does not affect its perceives noisiness. Traffic noise also seems to be less influential in annoyance rating. It was resealed that floor impact noise generated by bang machine is the most irritating noise that can be heard in residential buildings.

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Effects of IACC and its Variation on Annoyance of Heavy-weight Floor Impact Sounds (중량충격음 어노이언스 반응에 대한 IACC 변화의 영향)

  • Kumar P. Senthil;Sato, Shin-ichi;Jeon Jin-Yong
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2006.11a
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    • pp.626-630
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    • 2006
  • This study investigates the effects of Interaural Cross-correlation(IACC) and its variation on annoyance of the heavy-weight impact sounds. Subjects evaluated the annoyance of the heavy-weight floor impact sounds recorded in rooms of apartments which have different sound insulation treatments; furnished and occupied conditions are characterized by the ACF/IACF factors. A paired comparison test was conducted using the impact sound sources whose IACC and variation of IACC values were different. It was found that IACC is inversely correlated with the scale value(r=-0.62) whereas the variation of IACC is not(r=-0.34). On the contrary, ${\Phi}(0)$ is highly correlated with scale value of annoyance and ${\Phi}(0)$ is need to be controlled as constant to find the effect of IACC on annoyance.

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Predicting the subjective loudness of floor impact noise in apartment buildings using neural network analysis (Neural Network Analysis를 이용한 공동주택 바닥충격음의 라우드니스 예측)

  • You, Byoung-Cheol;Jeon, Jin-Yong;Cho, Moon-Jae
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.11b
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    • pp.474-479
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    • 2002
  • In this research, the relationship between physical measurements and subjective evaluations of floor impact noise in apartment building was quantified by applying the neural network analysis due to its complex and nonlinear characteristics. The neural network analysis was undertaken by setting up L-value, inverse A index, Zwicker parameters and ACF/IACF factors, as input data, which came from the measurements at real suites of apartment building having various sound insulations. The subjective responses from the psychoacoustic experiments were extracted as output data. Then, the reliability of the quantitative prediction for the subjective loudness was evaluated.

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Predicting the subjective loudness of floor impact noise in apartment building using neural network analysis (Neural Network Analysis를 이용한 공동주택 바닥충격음의 주관적 라우드니스 예측)

  • You, Byoung-Cheol;Jeon, Jin-Yong;Cho, Moon-Jae
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.11a
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    • pp.351.1-351
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    • 2002
  • In this research, the relationship between physical measurements and subjective evaluations of floor impact noise in apartment building was quantified by applying the neural network analysis due to its complex and nonlinear characteristics. The neural network analysis was undertaken by setting up L-value, inverse A index, Zwicker parameters and ACF/IACF factors, as input data, which came from the measurements at real suites of apartment building having various sound insulations. (omitted)

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