• Title/Summary/Keyword: Noise Reducing Effect

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Evaluation of a Traffic Noise Predictive Model for an Active Noise Cancellation (ANC) System (능동형 소음저감 기법을 위한 도로교통소음 예측 모형 평가 연구)

  • An, Deok Soon;Mun, Sung Ho;An, Oh Seong;Kim, Do Wan
    • International Journal of Highway Engineering
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    • v.17 no.6
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    • pp.11-18
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    • 2015
  • PURPOSES : The purpose of this thesis is to evaluate the effectiveness of an active noise cancellation (ANC) system in reducing the traffic noise level against frequencies from the predictive model developed by previous research. The predictive model is based on ISO 9613-2 standards using the Noble close proximity (NCPX) method and the pass-by method. This means that the use of these standards is a powerful tool for analyzing the traffic noise level because of the strengths of these methods. Traffic noise analysis was performed based on digital signal processing (DSP) for detecting traffic noise with the pass-by method at the test site. METHODS : There are several analysis methods, which are generally divided into three different types, available to evaluate traffic noise predictive models. The first method uses the classification standard of 12 vehicle types. The second method is based on a standard of four vehicle types. The third method is founded on 5 types of vehicles, which are different from the types used by the second method. This means that the second method not only consolidates 12 vehicle types into only four types, but also that the results of the noise analysis of the total traffic volume are reflected in a comparison analysis of the three types of methods. The constant percent bandwidth (CPB) analysis was used to identify the properties of different frequencies in the frequency analysis. A-weighting was applied to the DSP and to the transformation process from analog to digital signal. The root mean squared error (RMSE) was applied to compare and evaluate the predictive model results of the three analysis methods. RESULTS : The result derived from the third method, based on the classification standard of 5 vehicle types, shows the smallest values of RMSE and max and min error. However, it does not have the reduction properties of a predictive model. To evaluate the predictive model of an ANC system, a reduction analysis of the total sound pressure level (TSPL), dB(A), was conducted. As a result, the analysis based on the third method has the smallest value of RMSE and max error. The effect of traffic noise reduction was the greatest value of the types of analysis in this research. CONCLUSIONS : From the results of the error analysis, the application method for categorizing vehicle types related to the 12-vehicle classification based on previous research is appropriate to the ANC system. However, the performance of a predictive model on an ANC system is up to a value of traffic noise reduction. By the same token, the most appropriate method that influences the maximum reduction effect is found in the third method of traffic analysis. This method has a value of traffic noise reduction of 31.28 dB(A). In conclusion, research for detecting the friction noise between a tire and the road surface for the 12 vehicle types needs to be conducted to authentically demonstrate an ANC system in the Republic of Korea.

Experimental Investigation of the Effect of Lead Errors on Helical Gear and Bearing Vibration Transmission Characteristics

  • Park, Chan-Il;Lee, Jang-Moo
    • Journal of Mechanical Science and Technology
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    • v.16 no.11
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    • pp.1395-1403
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    • 2002
  • The characteristics of gear meshing vibration undesgo change as the vibration is transmitted from the gear to the housing. Therefore, vibration transmission characteristics of helical gear systems must be understood before the effective methods of reducing gear noise can be found. In this work, using a helical gear with different lead errors, the gear vibration in the rotational direction and the bearing vibration are measured. The frequency characteristics of gear and bearing vibration are investigated and a comparson is also provided.

Performance Enhancement of Dynamic Systems by Disturbance Observers (외란 관측기를 이용한 동적 시스템의 성능 개선)

  • Oh, Kyoung-Whan;Chung, Chung-Choo;Paek, Mun-Cheol
    • Proceedings of the KIEE Conference
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    • 2002.11c
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    • pp.241-244
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    • 2002
  • Using disturbance observers is effective in enhancing the performance of systems in presence of disturbances. In this paper, we present a novel design of disturbance observers to achieve enhanced robust performance. In addition, we propose a new method of reducing the effect of measurement noise via modification of plant modeling in disturbance observer.

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Real-time Target Tracking System by Extended Kalman Filter (확장칼만필터를 이용한 실시간 표적추적)

  • 임양남;이성철
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.7
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    • pp.175-181
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    • 1998
  • This paper describes realtime visual tracking system of moving object for three dimensional target using EKF(Extended Kalman Filter). We present a new realtime visual tracking using EKF algorithm and image prediction algorithm. We demonstrate the performance of these tracking algorithm through real experiment. The experimental results show the effectiveness of the EKF algorithm and image prediction algorithm for realtime tracking and estimated state value of filter, predicting the position of moving object to minimize an image processing area, and by reducing the effect by quantization noise of image.

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The Quantization Noise Reducing Effect on Enrage Signals by the Soft-Threshold Technique (Soft-Threshold 기법을 이용한 영상신호의 양자화 잡음 제거 효과)

  • 우창용;박남천
    • Proceedings of the Korea Multimedia Society Conference
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    • 2003.05b
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    • pp.393-396
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    • 2003
  • 고압축 영상신호에서 발생된 양자화잡음 제거 효과를 비교하였다. 잡음제거는 Soft-Threshold 기법을 이용하여 각 대역에서 양자화 잡음을 제거하였다. Soft-Threshold 기법에 적용하기 위해 각 대역별 잡음분산을 Monotonic 변환 및 SURE, Visu 방법으로 추정하여 양자화 잡음제거 효과를 PSNR로 비교하였다. 양자화 잡음 제거 결과 영상에 따라 달라지지만 유니폼 양자화 영상에서 약 5~6dB 정도의 영상품질 개선 효과가 있었다.

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A Study on Modified Adaptive Median Filter in Impulse Noise Environment (임펄스 잡음환경에서 변형된 적응 메디안 필터에 관한 연구)

  • Long, Xu;An, Young-Joo;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.883-885
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    • 2013
  • Image restoration refers to removing different kinds of noise added to image, and to reducing effect of noise upon image. For image restoration, some methods such as mean filter, median filter and weighted filter were proposed, but the existing methods have poor denoising and edge-reserved performance. Therefore, in this paper modified median filter algorithm was proposed that enlarges mask size according to median value of mask in order to remove noise efficiently. And, it was compared by simulation to the existing methods, and MSE(mean squared error) was used on a criterion of evaluation.

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A Study on the Design and Testing of 155mm Howitzer Silencer (155mm 화포의 소음기 설계 및 시험평가에 관한 연구)

  • Yeo, Chul-Mo;Park, Sung-Ho;Lee, Hae-Suk;Kim, Young-Seop;Chung, Han-Shik;Jeong, Hyo-Min
    • Journal of Power System Engineering
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    • v.18 no.5
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    • pp.144-149
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    • 2014
  • The silencer of 155mm caliber howitzer is developed to reduce its firing loud noise. This kind of research of a large gun was seldom because its big firing noise does not make significant effect even if to use silencer. Nowadays, military facilities became closely located civilian residential area. The noise would be regarded environmental pollution. So the noise reducing research becomes reconsidered. The previous silencer researches were only dealt with small guns as pistols and rifles moreover their theories was not properly analyzed for a large caliber silencer. The reason was previous researches of a large caliber silencer as 155mm howitzer were limited because their data based on simulation results without actual test by using computational fluid dynamics. In this study, the entire processes of silencer of 155mm caliber howitzer which were design, manufacturing, actual firing test, and analysis of its theories, were performed and showed. In particular, the actual noise of with silencer and without was measured and the results were compared to analyze the effect of silencer.

Massive MIMO with Transceiver Hardware Impairments: Performance Analysis and Phase Noise Error Minimization

  • Tebe, Parfait I.;Wen, Guangjun;Li, Jian;Huang, Yongjun;Ampoma, Affum E.;Gyasi, Kwame O.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.5
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    • pp.2357-2380
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    • 2019
  • In this paper, we investigate the impact of hardware impairments (HWIs) on the performance of a downlink massive MIMO system. We consider a single-cell system with maximum ratio transmission (MRT) as precoding scheme, and with all the HWIs characteristics such as phase noise, distortion noise, and amplified thermal noise. Based on the system model, we derive closed-form expressions for a typical user data rate under two scenarios: when a common local oscillator (CLO) is used at the base station and when separated oscillators (SLOs) are used. We also derive closed-form expressions for the downlink transmit power required for some desired per-user data rate under each scenario. Compared to the conventional system with ideal transceiver hardware, our results show that impairments of hardware make a finite upper limit on the user's downlink channel capacity; and as the number of base station antennas grows large, it is only the hardware impairments at the users that mainly limit the capacity. Our results also show that SLOs configuration provides higher data rate than CLO at the price of higher power consumption. An approach to minimize the effect of the hardware impairments on the system performance is also proposed in the paper. In our approach, we show that by reducing the cell size, the effect of accumulated phase noise during channel estimation time is minimized and hence the user capacity is increased, and the downlink transmit power is decreased.

The Stator Design of BLDC for reducing the Cogging Torque (BLDC 전동기의 코깅토크 저감을 위한 고정자 설계)

  • Ryu, D.I.;Lim, S.B.;Kim, K.C.;Won, S.H.;Lee, J.
    • Proceedings of the KIEE Conference
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    • 2006.07b
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    • pp.767-768
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    • 2006
  • Cogging torque is produced in a permanent magnet machine by the magnetic attraction between the rotor-mounted permanent magnets and the stator. It is an undesired effect that contributes to the machines' output ripple, vibration, and noise. This paper presents the stator design for reducing cogging torque in the BLDC motor by using the DOE(Design of Experiments). The cogging torque is computed by using a two-dimensional finite element analysis.

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Denoising Autoencoder based Noise Reduction Technique for Raman Spectrometers for Standoff Detection of Chemical Warfare Agents (비접촉식 화학작용제 탐지용 라만 분광계를 위한 Denoising Autoencoder 기반 잡음제거 기술)

  • Lee, Chang Sik;Yu, Hyeong-Geun;Park, Jae-Hyeon;Kim, Whimin;Park, Dong-Jo;Chang, Dong Eui;Nam, Hyunwoo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.24 no.4
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    • pp.374-381
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    • 2021
  • Raman spectrometers are studied and developed for the military purposes because of their nondestructive inspection capability to capture unique spectral features induced by molecular structures of colorless and odorless chemical warfare agents(CWAs) in any phase. Raman spectrometers often suffer from random noise caused by their detector inherent noise, background signal, etc. Thus, reducing the random noise in a measured Raman spectrum can help detection algorithms to find spectral features of CWAs and effectively detect them. In this paper, we propose a denoising autoencoder for Raman spectra with a loss function for sample efficient learning using noisy dataset. We conduct experiments to compare its effect on the measured spectra and detection performance with several existing noise reduction algorithms. The experimental results show that the denoising autoencoder is the most effective noise reduction algorithm among existing noise reduction algorithms for Raman spectrum based standoff detection of CWAs.