• Title/Summary/Keyword: Noise Technical

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Reduction of Structure-borne Idle Noise with the Insertion of a Composite Body inside Vehicle Body Skeleton (차체골격내 복합체 삽입을 이용한 구조기인 아이들 소음저감)

  • Kim, Hyo-Sig;Kim, Joong-Hee
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.22 no.4
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    • pp.335-343
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    • 2012
  • As a matter of fact, it has been not allowed to modify the shape of a vehicle body skeleton since the technical definition for the structure was fixed and the corresponding molds were developed. By the way, if it is available to apply an alternative to reinforce the skeleton without changing its mold, it must be much flexible to improve the performance qualities relevant to not only NVH(noise, vibration and harshness) but also crash and durability. Recently, a solution of so-called composite body becomes available for the need. We present a design method to insert the composite body inside a vehicle body skeleton in order to improve a structure-borne noise at the idle condition. The algorithms, topology optimization and design sensitivity analysis, are applied to mainly search the sensitive structural sections in the body skeleton and to extract the target stiffness of the sections. Inserting the composite bodies into the sensitive portions, it is predicted to achieve the countermeasures which can compromize the design availability in terms of the idle noise and weight. According to the validation result with test vehicles, the concerned noise transfer function is reduced and the idle booming noise is resultantly improved.

Reduction of Quantum Noise using Adaptive Weighted Median filter in Medical Radio-Fluoroscoy Image (적응성 가중 메디안 필터를 이용한 의료용 X선 투시 영상의 양자잡음 제거)

  • Lee, Hoo-Min;Nam, Moon-Hyon
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.51 no.10
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    • pp.468-476
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    • 2002
  • Digital images are easily corrupted by noise during the data transmission, data capture and data processing. A technical method of noise analyzing and adaptive filtering for reducing of quantum noise in medical radio-fluoroscopy images is presented. By adjusting the characteristics of the filter according to local statistics around each pixel of the image as moving windowing, it is possible to suppress noise sufficiently while preserve edge and other significant information required in diagnosis. We proposed adaptive weighed median(AWM) filters based on local statistics. We showed two ways of realizing the AWM filters. One is a simple type of AWM filter, which is constructed by Homogeneous factor(HF). Homogeneous factor(HF) from the noise models that enables the filter to recognize the local structures of the image is introduced, and an algorithm for determining the HF fitted to the diagnostic systems with various inner statistical properties is proposed. We show by the experimented that the performances of proposed method is superior to these of other filters and models in preserving small details and suppressing the noise at homogeneous region. The proposed algorithms were implemented by Visual C++ language on a IBM-PC Pentium 550 for testing purposes and the effects and results of the filter in the various levels of noise and images were proposed by comparing the values of NMSE(normalized mean square error) with the value of the other existing filtering methods.

CNN based Actuator Fault Diagnosis using Noise·Vibration (소음·진동을 이용한 CNN기반 원동 구동장치 고장진단)

  • Lee, Se-Hoon;Sin, Bo-Bae;Lee, Jae-Seung;Kim, Hee-Seok;Kim, Pung-il
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.07a
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    • pp.27-28
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    • 2018
  • 본 논문에서는 구동 장치의 다양한 상태를 나타내는 소음과 진동으로부터 특징데이터를 추출하여 이를 학습 한 후 실시간으로 장치의 상태를 진단하는 하였다. 실제 현장에서 발생할 수 있는 예측 외 소음환경에 유연하게 대처하기 위해 CNN모델 사용과 소리, 진동 데이터의 Butterworth filter와 Kalman filter를 적용하여 노이즈 배제처리 하였다. 제안된 시스템의 유용성을 확인하기 위해 제안된 시스템과 기존 CNN기반 시스템을 소음환경에서 비교 실험하였다.

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Deep-Learning based PHM Embedded System Using Noise·Vibration (소음·진동을 이용한 딥러닝 기반 기계 고장진단 임베디드 시스템)

  • Lee, Se-Hoon;Sin, Bo-Bae;Kim, Ye-Ji;Kim, Ji-Seong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.07a
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    • pp.9-10
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    • 2017
  • 본 논문에서 소음, 진동을 이용한 딥러닝 기반 기계 고장진단 임베디드 시스템을 제안하였다. 제안된 시스템은 기계로부터 취득된 소리와 진동을 바탕으로 학습한 DNN모델을 통해 실시간으로 기계 고장을 진단한다. 딥러닝 기술을 사용하여 학습에 따라 적용대상이 변경될 수 있도록 함으로써 특정 기계에 종속적이지 않고 가변적으로 다양한 기계에 대해 고장 예지 및 건전성 관리를 제공하도록 설계하였으며, 이를 증명하기 위해 액추에이터를 환풍기로 설정하여 정상상태와 4가지 비정상상태의 5가지상태를 학습하여 실험한 결과 93%의 정확도를 얻었다.

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Comparison of Noise Power Spectrum in Measurements by Using International Electro-technical Commission Standard Devices in Indirect Digital Radiography (간접평판형 검출기에서 국제전자기술위원회 기준을 통한 잡음전력스펙트럼 비교 연구)

  • Min, Jung-Whan;Jeong, Hoi-Woun;Kim, Ki-Won;Kwon, Kyung-Tae;Jung, Jae-Yong;Son, Jin-Hyun;Kim, Hyun-Soo
    • Journal of radiological science and technology
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    • v.41 no.5
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    • pp.457-462
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    • 2018
  • The purpose of this study was to compare image quality of indirect digital radiography (IDR) system using the International Electro-technical Commission standard (IEC 62220-1), and to suggest the analysis of noise power spectrum (NPS) which were applied to IEC 62220-1 in medical imaging. In this study, Pixium 4600 (Trixell, France) which is indirect flat panel detector (FPD) was used. The size of image receptor (IR) is $7{\times}17$ inch (matrix $3001{\times}3001$) which performed 14bit processing and pixel pitch is $143{\mu}m$. In IEC standard, NPS evaluation were applied to RQA3, RQA5, RQA7 and RQA9. Because of different radiation quality, each region of interesting (ROI) were compared. The results of NPS indicated up to $3.5mm^{-1}$ including low Nyquist frequency. RQA5 indicated the lowest NPS and the others indicated higher NPS results relatively. NPS result of ROI a38 was higher than ROI a92 and this result indicated that there are more noise in left (cathode) than right (anode). This study were to evaluate NPS by using different radiation quality and setting the each ROI, and to suggest the quantitative methods of measuring NPS.

Method of Generating Information Signals in the System Industrial Internet of Things

  • Aleksandr Serkov;Nina Kuchuk;Bogdan Lazurenko;Alla Horiuskina
    • International Journal of Computer Science & Network Security
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    • v.24 no.4
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    • pp.206-210
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    • 2024
  • Industrial facilities that use modern IT technologies require the ensured reliability and security of information in automated enterprise management. Concurrently, so as to ensure a high quality of communication, it is necessary to expand the bandwidth of communication channels, which are limited by the physical parameters of the radio frequency spectrum. In order to overcome this contradiction, we propose the application of technology fundamental to ultra-wideband signals, in which the ratio between the bandwidth and its central part is greater than "one". For this reason, the information signal is emitted without a carrier frequency - simultaneously within the entire frequency band - provided that the signal level is lower than the noise level. For the transmission of information content, the method of positional-time coding is used, in which each information bit is encoded by hundreds of ultrashort pulses that arrive within a certain sequence. Mathematical models of signals and values observed in wireless communication systems with autocorrelation reception of modulated ultra-wideband signals are furthermore recommended. These assist in identifying features of the dependence of the error probability on the normalized signal-to-noise ratio and the signal base. Comparative analysis has shown that the best noise immunity of the systems considered in this paper is the communication system, which uses the time separation of the reference and information signals. During the first half of the bit interval, the switch closes the output of the transmitter directly to the generator of the ultra-wideband signal - forming a reference signal. In the middle of the bit interval, the switch alternates the output to one of two possible positions depending on the encoding signal - "zero" or "one", forming the information part of the ultra-wideband signal. It should also be noted that systems with autocorrelation reception and separate transmission of reference and information signals, provide a high level of structural signal secrecy. Furthermore, they provide the reliable transmission of digital information, especially in interference conditions.

Mechanically Modulated Actuators and Branched Finger Detectors for Nano-Precision MEMS Applications

  • Cho, Young-Ho;Lee, Won-Chul;Han, Ki-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.39.1-39
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    • 2002
  • We present nanoactuators and nanodetectors for high-precision Micro Electro Mechanical System (MEMS) applications. Major technical difficulties in the high-precision MEMS are arising from the fabrication uncertainty and electrical noise problems. In this paper, we present high-precision actuators and detectors, overcoming the technical limitations placed by the conventional MEMS technology. For the nano-precision actuation, we present a nonlinearly modulated digital actuator (NMDA). NMDA composed of a digital microactuator and a nonlinear micromechanical modulator. The nonlinear micromechanical modulator is intended to purify the actuation errors in the stroke of the digital a...

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Implementation of Ka-band Low Noise Block Converter For Satellite TVRO (Ka-band 위성방송수신용 저잡음 블록 변환기 구현)

  • Lim, Jin-Won;Kim, Tae-Jin;Park, Ju-Nam;Rhee, Young-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.3 no.2
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    • pp.93-100
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    • 2008
  • In this paper, Low Noise Block down converter(LNB) is designed for a Ka-band satellite television receiver only(TVRO) using commercially available MMIC. Designed Low Noise Block down-converter is composed of three stage amplifiers involving input noise matched at first amplification stage, image reject band pass filter, frequency mixer and intermediate frequency amplification. Through LNB Module power budget to obtain gain and attenuation, Optimum LNB devices satisfying Ka-band LNB technical specification are selected. Experimental results of designed Ka-band LNB yields conversion gain of over $58{\pm}1dB$, noise figure of less than 1.5dB and phase noise of -94.6dBc @10KHz.

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A Study on Sample manufacturing and Performance Evaluation for Vibration Insulation Material of Noise Barrier for High-Speed Railway (고속철도구간 방음벽 제진재 시험제작 및 성능평가에 관한 연구)

  • Kim Soon-Cheol;Kang Jeong-Ok;Han Kwang-Seob;Jeon Byung-Chan;Han Jong-Moon
    • Proceedings of the KSR Conference
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    • 2005.05a
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    • pp.522-529
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    • 2005
  • The commercial service of KTX from April 1st 2004 has realized that whole country has shrunk into half-day life zone and it opened the times of speed. However, some technical problems unexpected before service have been raised and, among them, the noise generation at train passing was claimed by the residents living nearby the track and it is often publicized by the broadcastings and newspapers. In case where the residential area is close to the track, the installation of noise barrier at trackside is the general measures for noise reduction on bridge section and earthwork section. In case of KTX project, such measures were actually taken without any exception; however, the noise level is still high. In this study, analysis for the reason of higher noise level in spite of which the noise barriers are being installed was carried out, the sample of insulation material effective for noise barrier was manufactured and the performance of the insulation material was evaluated to verify its effectiveness

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Development of Hybrid Method for the Prediction of Internal Flow-induced Noise and Its Application to Throttle Valve Noise in an Automotive Engine

  • Cheong, Cheol-Ung;Kim, Sung-Tae;Kim, Jae-Heon;Lee, Soo-Gab
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.4E
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    • pp.183-196
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    • 2003
  • General algorithm is developed for the prediction of internal flow-induced noise. This algorithm is based on the integral formula derived by using the General Green Function, Lighthill's acoustic analogy and Curl's extension of Lighthill's. Novel approach of this algorithm is that the integral formula is so arranged as to predict frequency-domain acoustic signal at any location in a duct by using unsteady flow data in space and time, which can be provided by the Computational Fluid Dynamics Techniques. This semi-analytic model is applied to the prediction of internal aerodynamic noise from a throttle valve in an automotive engine. The predicted noise levels from the throttle valve are compared with actual measurements. This illustrative computation shows that the current method penn its generalized predictions of flow noise generated by bluff bodies and turbulence in flow ducts.