• 제목/요약/키워드: ANC

검색결과 273건 처리시간 0.026초

능동소음제어 기술을 이용한 층간소음 저감효과 분석 (Analysis of Reduction Effect of Inter-Floor Noise Using Active Noise Control (ANC) Technique)

  • 김호진;김중관;김준환;김현석;위혁
    • 한국방재안전학회논문집
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    • 제16권3호
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    • pp.45-56
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    • 2023
  • 본 연구에서는 능동소음제어(ANC) 기술을 층간소음 분야에 적용하기 위하여 40~500 Hz 대역의 중량충격음을 제어하기 위한 ANC 시스템을 구성하였다. ANC 시스템에는 Fx-LMS 알고리즘 기반의 적응형 필터를 활용한 피드포워드 방식의 제어기술을 도입하였다. ANC 시스템 설정을 위해 가상 시뮬레이션을 통해 ANC를 구성하는 변수 연구를 실시하였고, 이를 통해 최적 필터와 시스템 배치 방법을 정립하였다. 또한 본 연구에는 개발된 ANC 시스템을 한국건설생활시험연구원(KCL)의 층간소음 시험실에 설치한 후 표준시험방법에 따라 ANC 시스템 구동 전후 4 dB의 층간소음 저감효과를 확인하였다. 시험결과를 통해 본 연구에서 개발한 ANC 시스템이 중량충격음에 대한 등급 기준을 한 단계를 상향시킬 수 있는 수준의 효과가 있음을 확인하였다.

신경회로망 다중 LMS 기법을 이용한 고속철도의 실내소음저감을 위한 ANC 시스템 (A Neural Multiple LMS Based ANC System for Reducing Acoustic Noise of High-Speed Trains)

  • 조현철;이권순;남현도
    • 전기학회논문지P
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    • 제58권4호
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    • pp.385-390
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    • 2009
  • This paper presents a novel active noise control (ANC) system using least mean square (LMS) algorithm and neural network approach for decreasing acoustic noise signals inside high-speed trains. We construct a LMS framework as a nominal ANC system and additionally design an artificial single-layered perceptron model as an auxiliary ANC which is aimed to reduce real-time residuary noise due to its nonstationary and uncertain nature. Parameter vector of the hybrid ANC is determined through online estimation to realize an adaptive ANC configuration by means of the steepest descent algorithm. We achieve simulation experiment to demonstrate the proposed ANC system employing realistic acoustic noise signals measured in Korea Train eXpress (KTX).

NPVSS-NLMS 알.고리즘과 온라인 선형 피드백 경로 모델링을 이용한 비선형 능동 소음 제어 (Nonlinear ANC using a NPVSS-NLMS algorithm and online modelling of an acoustic linear feedback path)

  • 서재범;남상원
    • 전기학회논문지
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    • 제59권5호
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    • pp.1001-1004
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    • 2010
  • Acoustic feedback and background noise variation can degrade the performance of an active noise control (ANC) system. In this paper, nonlinear ANC using a non-parametric VSS-NLMS (or NPVSS-NLMS) algorithm and online feedback path modeling is proposed, whereby the conventional linear ANC with online acoustic feedback-path modeling is further extended to nonlinear Volterra ANC with a linear acoustic feedback path. In particular, the step-size of the NPVSS-NLMS algorithm is controlled to reduce the effect of background noise variation in the ANC system. Simulation results demonstrate that the proposed approach yields better nonlinear ANC performance compared with the conventional nonlinear ANC method.

항암치료를 받는 미만성거대비세포 림프종 환자에서 페그필그라스팀에 대한 효용성 평가 (Utility Analysis for Pegfilgrastim in DLBCL Patients on R-CHOP Regimen)

  • 정희원;김정미;민명숙;이영미;방준석
    • 한국임상약학회지
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    • 제25권3호
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    • pp.151-158
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    • 2015
  • Objective: This study was designed to compare pegfilgrastim and filgrastim in diffuse large B-cell lymphoma (DLBCL) patients treated with a rituximab with cyclophosphamide, hydroxydaunorubicin, oncovin, and prednisone (R-CHOP) regimen in terms of clinical efficacy and cost-effectiveness. Method: Clinical efficacy was measured by trough level of absolute neutrophil count (ANC), days of ANC under 50% of baseline value, days of ANC under 90% of baseline value, duration of ANC recovery to baseline value, days of ANC less than $0.5{\times}10^9cells/L$, and difference of peak and trough level of ANC during 1 cycle of R-CHOP regimen. To evaluate cost-effectiveness, total prices of used filgrastim and pegfilgrastim within 1 cycle of R-CHOP were analyzed. Results: In terms of clinical efficacy, trough level of ANC and days to ANC recovery showed statistical significance. The median trough levels of ANC with administration of filgrastim and pegfilgrastim were 0.18 and 1.94 (p = 0.021), respectively, and the median durations of ANC recovery to baseline value were 5.5 days and 2 days (p = 0.023), respectively. For the median days of ANC under 50% of baseline value, days of ANC under 90% of baseline value, days of ANC less than $0.5{\times}10^9cells/L$, and difference of peak and trough level of ANC during 1 cycle of R-CHOP, the pegfilgrastim group performed better than the filgrastim group. However the difference was not statistically significant. In terms of overall expense during 1 cycle of R-CHOP, pegfilgrastim is about 3.43 times more expensive than filgrastim. Conclusion: Pegfilgrastim is more efficient than filgrastim in terms of clinical efficacy. In terms of prices, pegfilgrastim is more expensive than filgrastim for patients, but it is more convenient in clinical use. Therefore, pegfilgrastim should be the preferred choice of G-CSF for neutropenic patients. Further comparative study of pegfilgrastim and filgrastim is needed.

도로소음 입력의 ANC시스템에서 실시간 적용의 CLMS 알고리즘의 성능 (Performance of CLMS Algorithm for Real-time Application in ANC Systems of Road Noise Input)

  • 문학룡;손진근
    • 전기학회논문지P
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    • 제63권4호
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    • pp.260-265
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    • 2014
  • Recently, many active noise control (ANC) systems, which employ the adaptive filter controlling method, have been reported for eliminating unwanted noise. ANC systems based on the filtered-X least mean square (FXLMS) algorithm have a problem with compensating the acoustic feedback of secondary route. It is difficult to apply the real time, because transfer function of secondary route must be measured by off-line method to solve this problem. In this paper, we propose the ANC system that applies a correlation LMS(CLMS) algorithm for improving a problem of transfer function measurement. The proposed algorithm is based on input of road noise. The proposed ANC systems have an advantage of real-time process without degradation of performance, although there are many calculation compared with FXLMS algorithm.

적응보상기를 채용한 주파수영역 적응 잡음제거 시스템 및 알고리즘 (Frequency-Domain Adaptive Noise Canceller and Its Algorithm with Adaptive Compensator)

  • 손경식;김수중
    • 대한전자공학회논문지
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    • 제27권9호
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    • pp.1456-1467
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    • 1990
  • The time domain adaptive noise canceller (time domain ANC) with the adaptive compensator and its algorithm, so called compensated least mean squares(CLMS) algorithm, had been introduced to improve the performance of ANC[1]. In this paper the time domain ANC with the adaptive compensator is transformed into the frequency domain ANC with the adaptive ocmpensator. An compensated frequency-domain least mean squares(CFLMS) algorithm that can adapt the proposed frequency domain ANC is presented.

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Enhancement of hydrophilicity and anti-fouling property of polysulfone membrane using amphiphilic nanocellulose as hydrophilic modifier

  • Yang, Xue;Liu, Lifang;Jiang, Shuai
    • Membrane and Water Treatment
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    • 제10권6호
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    • pp.461-469
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    • 2019
  • In the present work, we present a new effective hydrophilicity modifier for polysulfone (PSf) membrane. Firstly, amphiphilic nanocellulose (ANC) with different substitution degrees (SD) was synthesized by esterification reaction with nanocellulose (NC) and dodecyl succinic anhydride (DDSA). The SD and morphology of ANC were characterized by titration method and transmission electron microscopy (TEM). Then, the polysulfone (PSf)/ANC blend membranes were prepared via an immersion phase inversion method. The influence of SD on the morphology, structure and performances of PSf/ANC blend membrane were carefully investigated by Fourier transform infrared spectroscopy (FTIR), scanning electron microscope (SEM), mechanical property test, contact angle measuring instrument and filtration experiment. The results showed that the mechanical property, hydrophilicity and anti-fouling property of all the PSf/ANC blend membranes were higher than those of pure PSf membrane and PSf/NC membrane, and the membrane properties were increased with the increasing of SD values. As ANC-4 has the highest SD value, PSf/ANC-4 membrane exhibited the optimal membrane properties. In conclusion, the prepared ANC can be used as an additive to improve the hydrophilicity and anti-fouling properties of polysulfone (PSf) membrane.

능동 소음 제어 시스템의 2차 경로 비선형 특성을 보상하기 위한 적응 비선형 Filtered-X Least Mean Square (FX-LMS) 알고리듬 (A Nonlinear Filtered-X LMS Algorithm for the Nonlinear Compensation of the Secondary Path in Active Noise Control)

  • 정인석;김덕호;남상원
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.565-567
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    • 2004
  • In active noise control (ANC) systems, the convergence behavior of the conventional Filtered-X Least Mean Square (FXLMS) algorithm may be affected by nonlinear distortions in the secondary path (e.g., in the power amplifiers, loudspeakers, transducers, etc.), which may lead to degradation of the error-reduction performance of the ANC systems. In this paper, a stable FXLMS algorithm with fast convergence is proposed to compensate for undesirable nonlinear distortions in the secondary-path of ANC systems by employing the Volterra filtering approach. In particular, the proposed approach is based on the utilization of the conventional P-th order inverse approach to nonlinearity compensation in the secondary path of ANC systems. Finally, the simulation results showed that the proposed approach yields a better convergence behavior In the nonlinear ANC systems than the conventional FXLMS.

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LMS기반의 신경회로망 알고리즘을 이용한 선박소음 능동소음제어를 위한 연구

  • 장현석;이권순
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2012년도 춘계학술대회
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    • pp.257-259
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    • 2012
  • 친환경 시대로 나아가는 현재, 능동소음제어는 저주파소음을 줄이기 위한 좋은 방법이다. 또한 수동소음제어만으로 선박소음을 제어하기에는 물리적인 무게가 심각히 가중되어 한계를 가지게 된다. ANC 시스템은 이러한 문제를 해결해 줌과 더불어 다양하게 변화하는 환경소음까지 줄여주는 특성을 가지고 있다. 우리는 본 논문에서 선박의 환경소음을 줄이기 위하여 LMS 알고리즘과 신경회로망 알고리즘을 기반으로하는 ANC 시스템을 제안한다. 먼저 선박과 유사한 유도전동기의 소음을 측정하고 다음으로 ANC 시스템을 위한 LMS 구조를 구축한다. 그리고 소음의 비정치와 불확실성 때문에 단층 퍼셉트론 모델로 디자인된 신경회로망 알고리즘을 추가하여 실시간으로 소음을 줄이도록 하였다. 이 하이브리드 ANC 시스템은 최급강하기법의 방법으로 파라미터 값들이 온라인으로 실시간 추정되며, 제안된 ANC 시스템은 컴퓨터 시뮬레이션을 이용하여 그 성능을 분석하였다.

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AI_ANC 에 관한 연구 (A Study on ANC Technology Using AI)

  • 강지호;문성호;이종수;김정민
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2020년도 추계학술발표대회
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    • pp.949-952
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    • 2020
  • 층간 소음으로 인한 갈등, 직장에서 발생하는 소음으로 인한 청력 감소 등 소음으로 인한 많은 문제들이 최근 들어 많이 대두되고 있다. 소음을 없애기 위해서는 물리적인 방법도 있지만 ANC 기술을 이용하여 소음을 없애는 방법도 있다. ANC 란 기존 소음과 반대 위상인 파장을 출력해 상쇄간섭을 일으켜 소음을 줄여주는 기술이다. AI_ANC 기술은 기존에 ANC 기술의 한계점(Feedback, Time Gap)을 극복하기 위해 Feed forward 방식과 AI 를 접목시켜 능동적으로 소음을 감소시킨다. 이기술은 층간 소음, 공장 소음 더 나아가 다양한 이동수단까지 범용적으로 활용성이 뛰어나다.