• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2004년도 춘계학술대회논문집
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• pp.718-723
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• 2004

The insertion loss of a noise barrier comes from the effects of diffraction, transmission loss, absorption coefficient and attenuation by direct propagation. The noise level after the noise barrier, differs reatly from the diffraction on the upper part of the barrier. Maekawa, furze and Anderson presented a empirical formula for calculating the diffraction of a semi infinte screen shaped noise barrier. In this syudy, Noise reduction performance software was developed for the proper design and assessment of new plastic barrier . Predicted sound pressure level from using the software is compared with the site-measurement results to verify the noise reduction performance and feasibility of prediction software for insertion loss of noise barrier.

• 한국컴퓨터정보학회논문지
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• 제21권12호
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• pp.27-33
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• 2016

In this paper, we propose the bilateral filter based on median value that can reduce random noise and impulse noise with minimal loss of contour information. In general, EO / IR camera to generate a random or impulse noise due to a number of reasons. This noise reduces the performance of detecting and tracking by signal processing. To reduce noise, our proposed bilateral filter sorts the values of the target pixel and the peripheral pixels, and extracts a median filter coefficients of the Gaussian type. Then to extract the Gaussian filter coefficient involved with the distance between the center pixel and the surrounding pixels. As using those filter coefficients, our proposed method can remove the various noise effectively while minimizing the loss of the contour information. To validate our proposed method, we present experimental results for several IR images.

• Tribology and Lubricants
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• 제36권5호
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• pp.274-278
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• 2020

This study investigates the possibility of reducing squeal noise generated at the contact point between an elastomer and glass by using the properties of a magneto-rheological elastomer (MRE) whose stiffness changes with the application of a magnetic field. Previously, squeal noise was mainly observed in the unstable section caused by the weakening of friction due to velocity. Previous studies have shown that squeal noise decreases as the stiffness increases. Accordingly, this study is conducted to control the unstable area of the friction curve and to reduce the noise by inducing the stiffness change of the MRE by applying a magnetic field. The friction, vibration, and noise characteristics are measured using a reciprocating friction tester. The frequency ranges of vibration and noise measured with the accelerometer and sound sensor show similar results. When a magnetic field is applied to the MRE, there is significantly lower noise compared with the case without the application of the magnetic field. The average coefficient of friction decreases with the application of the magnetic field. The maximum coefficient of friction increases rapidly at the turning point and decreases when the magnetic field is applied. This shows that the mechanical properties of the MRE change due to the magnetic field, and the noise and friction coefficient also decrease.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 춘계학술대회
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• pp.157-159
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• 2010

대부분의 디지털 촬영 장치는 Charge Coupled Device(CCD) 또는 Complementary Metal Oxide Semiconductor(CMOS) 센서를 사용한다. 이러한 센서를 통해 촬영된 영상 정보에는 원하지 않는 잡음이 포함되어있다. 본 논문은 영상의 잡음 제거 및 영상 정보의 회복을 위한 기법인 잡음 제거(Noise Reduction, NR)에 관한 것이다. 제안한 NR 방법은 저역통과 필터(Low Pass Filter, LPF)의 대역폭을 고려한 잡음 제거 방법에 관한 것으로, NR의 성능개선을 위하여 MSF 연산에 사용되는 LPF의 필터 계수를 통한 시뮬레이션을 수행하였다. 필터 계수가 갖는 주파수 대역폭의 특성을 고려한 시뮬레이션 결과, MSF 연산에 적용되는 LPF와 고역통과 필터(High Pass Filter, HPF)의 필터 계수가 [1 2 1]과 [-1 2 -1]인 경우 가장 이상적인 주파수 대역폭을 나타내며, NR의 성능 또한 우수함을 확인하였다. 시뮬레이션 결과를 통하여, MSF를 수행함에 있어서 LPF와 HPF의 필터 계수를 [1 21]과 [-1 2 -1]로 제안하였다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2006년도 추계학술대회 논문집
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• pp.305-309
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• 2006

In this paper vibration reduction characteristics of floating floors used in railway vehicles are studied. Vibration reduction characteristics are compared through a series of tests for elastically-coupled floor and rigidly-coupled floor. It was found that elastically-coupled floor has larger vibration reduction amount than rigidly-coupled floor. Around the fundamental natural frequency, however, elastic floor has poor vibration reduction effect than rigid floor. Measures to reduce structure-borne noise are also discussed based on the test results. Structure-borne noise for running railway vehicles cannot be reduced by an effort to deviate resonance between natural frequency of floors and major exciting forces. Instead, reducing vibration level of top floor and using covers which have low sound radiation coefficient will be effective for reducing structure-borne noise.

• 소음진동
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• 제9권4호
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• pp.822-827
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• 1999

The reduction of booming noise level and improvement of sound quality in the vehicle interior have been major fields of vehicle NVH for many years. In order to reduce the booming noise this paper proposed a system variable, which takes account of mode shapes and natural frequencies of the structural-acoustic system, measurement points and excitation frequency. By simplifying the system variable, the major contributors of panels inculding roof, roof lining, wind shield glasses, doors and floor to booming noise at a specific frequency was experimentally found. Also the relationships between structural modes of roof lining, one of the major contributors, and acoustic modes of compartment cavity were investigated from the viewpoint fo structure-borne noise. In addition, the roof lining was modified structurally by applying marble sponge to the gap between roof and roof lining. Asthe result of structural modification, the booming noise was reduce at target frequency.

• 한국정보통신학회논문지
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• 제14권2호
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• pp.513-520
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• 2010

잡음에 의한 열화현상은 디지털화된 데이터의 인지도를 저하시킨다. 따라서 신호의 에지 성분을 보존함과 동시에 잡음을 제거하기 위한 시간영역과 주파수영역의 다양한 방법들이 사용되고 있다. 본 논문에서는 신호에 중첩된 복합적인 잡음을 감소시키기 위해, 웨이브렛 근사 계수를 이용한 새로운 잡음 제거 알고리즘을 제안하였다. 제안된 알고리즘에서는 신호의 에지와 잡음에 대한 구분 성능을 향상시키기 위해, 웨이브렛 근사계수의 누적으로부터 얻어지는 오차함수의 분포특성을 이용하였다.

• The Journal of the Acoustical Society of Korea
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• 제27권2E호
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• pp.64-68
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• 2008

This paper investigates noise reduction performance and performs convergence analysis of a Variable Error Data Normalized Step-Size Least Mean Square(VEDNSS LMS) algorithm. Adopting VEDNSS LMS results in higher system complexity, but noise is reduced providing fast convergence speed Mathematical analysis demonstrates that tap coefficient misadjustment converges. This is confirmed by computer simulation with the proposed algorithm.

• Nuclear Engineering and Technology
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• 제55권5호
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• pp.1527-1532
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• 2023

The noise reduction algorithm using the non-local means (NLM) approach is very efficient in nuclear medicine imaging. In this study, the applicability of the NLM noise reduction algorithm in single-photon emission computed tomography (SPECT) images with a brain phantom and the optimization of the NLM algorithm by changing the smoothing factors according to various reconstruction methods are investigated. Brain phantom images were reconstructed using filtered back projection (FBP) and ordered subset expectation maximization (OSEM). The smoothing factor of the NLM noise reduction algorithm determined the optimal coefficient of variation (COV) and contrast-to-noise ratio (CNR) results at a value of 0.020 in the FBP and OSEM reconstruction methods. We confirmed that the FBP- and OSEM-based SPECT images using the algorithm applied with the optimal smoothing factor improved the COV and CNR by 66.94% and 8.00% on average, respectively, compared to those of the original image. In conclusion, an optimized smoothing factor was derived from the NLM approach-based algorithm in brain SPECT images and may be applicable to various nuclear medicine imaging techniques in the future.

• 한국방사선학회논문지
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• 제13권3호
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• pp.453-458
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• 2019

본 연구에서는 Geant4 application for tomographic emission (GATE) 시뮬레이션 프로그램을 통해 설계 된 male adult mesh (MASH) 팬텀의 영상을 획득한 후 다양한 필터링 인자가 설정된 FNLM 노이즈 제거 알고리즘을 적용함으로써 그에 따른 영상 특성의 경향성을 알아보고자 한다. 이를 위해 GATE 시뮬레이션 프로그램을 통해 인체를 모사할 수 있는 MASH 팬텀을 설계하였다. 또한, 설계된 MASH 팬텀을 기반으로 MATLAB 프로그램을 통해 복부영상을 획득한 후 0.005의 $\sigma$ 값을 갖는 Gaussian noise를 추가하여 열화영상을 모델링하였다. 모델링 된 열화영상으로부터 제안하는 FNLM 노이즈 제거 알고리즘의 필터링 인자를 각각 0.005, 0.01, 0.05, 0.1, 0.5, 1.0 으로 설정하여 적용하였으며, 정량적 평가를 위해 FNLM 노이즈 제거 알고리즘이 적용된 영상들로부터 각각의 coefficient of variation (COV), signal to noise ratio (SNR) 그리고 contrast to noise ratio (CNR)을 측정하였다. 결과적으로, 0.05의 필터링 인자가 적용된 영상에서 가장 개선된 COV, SNR 그리고 CNR 값을 보였다. 특히, COV는 설정된 필터링 인자가 증가함에 따라 감소하였으며, 0.05 값 이후부터 거의 일정한 값을 나타내었다. 또한, SNR 및 CNR의 경우 필터링 인자가 증가함에 따라 증가하였으며, 0.05 값 이후부터 감소하는 경향을 보였다. 결론적으로, 열화 영상으로부터 FNLM 노이즈 제거 알고리즘 적용 시 적합한 필터링 인자를 설정해야 함이 증명되었다.