• 제목/요약/키워드: Noise Minimization

검색결과 183건 처리시간 0.027초

경계요소법에 기초한 음향 홀로그래피에서 오차 최소화 과정에 의한 한국 종의 음장 재구성 (The Sound Field Reconstruction of a Korean Bell Using an Error Minimization Scheme in the BEM-Based Acoustical Holography)

  • 김철희;이장무;강연준
    • 소음진동
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    • 제9권1호
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    • pp.131-140
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    • 1999
  • A method to reconstruct the sound field around a Korean bell is developed. The sound radiation problem is formulated based on the boundary element method by using the algorithm of the acoustical holography. Sound pressures at the hologram surface are measured and used as input data for the analysis program that was developed in this study. An error minimization scheme is presented to overcome difficulties that arise in the backward reconstruction of the BEM-based acoustical holography In the model fictitious source surfaces were also introduced to reduce the complexity stemmed from the source shape. The sound field associated with the (4.0) vibrational mode of the Korean bell was visualized and verified experimentally.

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영구자석 선형동기전동기의 디텐트력 저감법 (Detent Force Minimization Techniques in Permanent Magnet Linear Synchronous Motor)

  • 임기채;우준근;홍정표;김규탁
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제49권11호
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    • pp.749-756
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    • 2000
  • Detent force develops generally undesirable effect that contributes to the output ripple of machine, vibration and noise. This paper proposes detent force minimization techniques for a Permanent Magnet Linear Synchronous Motor (PMLSM). In addition, thrust according to each minimization technique is estimated to observe the change of machine performance. A two-dimensional Finite Element Method is used to predict detent force and thrust due to structural factors and non-linearity. And moving node technique for geometric models is proposed to reduce modeling time and efforts.

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자기포화를 고려한 SRM의 토크리플 저감 제어 (Torque Ripple Minimization in Switched Reluctance Motor Drives Considering Magnetic Saturation)

  • 강준호;김재혁
    • 조명전기설비학회논문지
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    • 제28권7호
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    • pp.48-54
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    • 2014
  • This paper discusses study of torque ripple minimization employing an improved TDF(torque distribution function)-based instantaneous torque control to reduce acoustic noise and vibration problem of the SRM. As the flux linkage of the SRM is a nonlinear function of phase current and rotor position, design of optimal controller for the SRM is quite complicated. Hence, an accurate mathematical model considering the nonlinearity of the SRM is required. An improved TDF based torque control has been proposed in order to reduce the toque ripple at high speed operation. Dynamic simulation using Matlab/Simulink as well as Finite Element Analysis is presented. A prototype SRM for electric vehicle traction has been manufactured to validate the experimental results comparing the dynamic simulation results.

STFT 기반 영상분석을 이용한 효과적인 잡음제거 알고리즘 (Effective Noise Reduction using STFT-based Content Analysis)

  • 백승인;정수웅;최종수;이상근
    • 전자공학회논문지
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    • 제52권4호
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    • pp.145-155
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    • 2015
  • 디지털 영상 처리 분야에서 잡음 제거는 활발히 연구되어오고 있으며, 최근에는 블록 기반의 잡음 제거 알고리즘이 널리 사용되고 있다. 저계수행렬 근사 기반의 잡음 제거 알고리즘은 WNNM(Weighted Nuclear Norm Minimization)과 블록 기반의 잡음 제거 방법을 적용하여 잡음 제거 방법에 대한 잠재력을 입증했다. 그러나 저계수행렬 근사 기반의 잡음 제거 알고리즘은 영상복원 과정에서 의도치 않은 아티팩트를 발생시킨다. 본 논문에서는 STFT(Short Time Fourier Transform)을 이용해 영상을 분석하여 기존 알고리즘에서 발생하는 아티팩트를 적응적으로 최소화시키는 방법을 제안한다. 성능을 확인하기 위해 다양한 잡음정도를 포함하는 영상에서 실험하였으며, 비교를 통해 제안된 방법이 기존의 잡음 제거 알고리즘보다 효과적으로 잡음을 제거하는 것을 확인했다.

준고속 도시철도의 진동분석 및 저감대책 (Vibration Analysis and Mitigable Countermeasures of Semi High-speed Subway Electric Trains)

  • 박기수;최연선
    • 한국소음진동공학회논문집
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    • 제18권10호
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    • pp.1014-1023
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    • 2008
  • Subway electric trains need to be faster for accommodation of long distance passengers. The faster run of the existing trains results in deterioration of ride quality due to noise and vibration. To reduce the noise and vibration of the electric train, a running test of the electric train was performed and an ADAMS/Rail model was set up to verify the running test results. The experimental results show that the sources of the cabin noise and vibration basically comes from the irregularity of the railroad track and the deterioration of the connection part between cabin and bogie. Consequently for mitigation of noise and vibration of the electric train, the redesign of the center pivot with softer stiffness and the minimization of rail irregularity are necessary. the frequent maintenance of the train will lead to better comport.

열린 상자형 구조물의 진동최소화기법에 관한 연구 (A Study on the Vibration Minimization Techniques for the Open Box Type Structure)

  • 박석주;오재응;이장용;박성현
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 1994년도 춘계학술대회논문집; 영남대학교, 20 May 1994
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    • pp.28-33
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    • 1994
  • 본 연구에서는 감도해석법과 최적구조변경법을 간략학 논한 다음 열린 상자형 구조물의 진동특성을 고찰하고 진동특성을 개선하기 위한 방법으로 기둥(pillar)을 이용한 최적구조변경법을 예시하고자 한다.

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자동차 항법 시스템에서 DGPS와 CCD를 결합한 위치오차의 최소화에 관한 연구 (A Study on the Minimization of Position error Using the DGPS and CCD in the Car Navigation)

  • 권혁대;송석우;노도환
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.82-82
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    • 2000
  • The way which estimates a position from Navigation is Dead-reckoning Navigation and Radio Navigation. Generally dead-reckoning navigation uses Gyro and odometer as sensor, but these have problems which are an integrating noise and a noise-sensitivity. Gps which is used by radio-navigation has a Troposthetic error and MultiPath ewer and so on. For minimizing a Troposthetic error and a Multipath error, this paper suggests to an algorithm which use vanishing point on CCD camera.

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LED 조명 발열의 순차 제어시스템 연구 (The Study Of Sequence Control for LED)

  • 최형식;윤종수;신희영;임태우
    • 한국마린엔지니어링학회:학술대회논문집
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    • 한국마린엔지니어링학회 2011년도 후기공동학술대회 논문집
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    • pp.99-100
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    • 2011
  • In this paper, a temperature control for LED(Light Emitting Diode) lamp using a cooling fan is studied. An efficient temperature control scheme for the LED lamp using the fan wind at the lowest sound noise is studied. Also, for minimization study of sound noise and temperature control of an LED lamp, a sequential control algorithm using the cooling fan at the lowest sound noise is presented. For the study, after measurement of the minimum sound noise of the fan and related temperature of the LED lamp through tests, experiments on temperature control of the LED lamp using the fan was performed.

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A New Noise Reduction Method Based on Linear Prediction

  • Kawamura, Arata;Fujii, Kensaku;Itho, Yoshio;Fukui, Yutaka
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -1
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    • pp.260-263
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    • 2000
  • A technique that uses linear prediction to achieve noise reduction in a voice signal which has been mixed with an ambient noise (Signal to Noise (S-N) ratio = about 0dB) is proposed. This noise reduction method which is based on the linear prediction estimates the voice spectrum while ignoring the spectrum of the noise. The performance of the noise reduction method is first examined using the transversal linear predictor filter. However, with this method there is deterioration in the tone quality of the predicted voice due to the low level of the S-N ratio. An additional processing circuit is then proposed so as to adjust the noise reduction circuit with an aim of improving the problem of tone deterioration. Next, we consider a practical application where the effects of round on errors arising from fixed-point computation has to be minimized. This minimization is achieved by using the lattice predictor filter which in comparison to the transversal type, is Down to be less sensitive to the round-off error associated with finite word length operations. Finally, we consider a practical application where noise reduction is necessary. In this noise reduction method, both the voice spectrum and the actual noise spectrum are estimated. Noise reduction is achieved by using the linear predictor filter which includes the control of the predictor filter coefficient’s update.

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제한 최소 자승오차법 (The Constrained Least Mean Square Error Method)

  • 나희승;박영진
    • 소음진동
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    • 제4권1호
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    • pp.59-69
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    • 1994
  • A new LMS algorithm titled constrained LMS' is proposed for problems with constrained structure. The conventional LMS algorithm can not be used because it destroys the constrained structures of the weights or parameters. Proposed method uses error-back propagation, which is popular in training neural networks, for error minimization. The illustrative examplesare shown to demonstrate the applicability of the proposed algorithm.

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