• Title/Summary/Keyword: Sound parameter

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The Weldability of Laminated Stator Core for Motor by Pulsed Nd:YAG Laser [ I ] - The Effect of Processing Parameter on Weldability of Laser - (펄스 Nd:YAG 레이저를 이용한 모터용 스테이터 적층코어의 용접특성 [ I ] - 레이저 용접성에 미치는 가공변수의 영향 -)

  • Kim Jong-Do;Yoo Seung-Jo;Kim Jang-Soo
    • Journal of Advanced Marine Engineering and Technology
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    • v.30 no.5
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    • pp.629-635
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    • 2006
  • Manufacture of motor by laser has been studying realization that was demands on market for lightening and miniaturization. Moreover. early in the 1980s. manufacture of parts for automobiles by laser welding was already successfully introduced. The purpose of this study was to develop production technology of the high quality laminated stator core for motor by pulsed Nd:YAG laser heat source. In the event of adjusting defocus and voltage to control humping in laser welding of the laminated core. sound bead could be obtained. but deep penetration was not. Therefore. explosive evaporating plasma was controlled by adjustment of peak power on pulse width. Particularly, because explosive evaporating plasma induced high peak power, made molten metal in keyhole scatter. a suitable adjustment of peak power was required to obtain sound bead. As a results of experiment. sound bead and deep penetration could be obtained.

SVM-based Drone Sound Recognition using the Combination of HLA and WPT Techniques in Practical Noisy Environment

  • He, Yujing;Ahmad, Ishtiaq;Shi, Lin;Chang, KyungHi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.10
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    • pp.5078-5094
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    • 2019
  • In recent years, the development of drone technologies has promoted the widespread commercial application of drones. However, the ability of drone to carry explosives and other destructive materials may bring serious threats to public safety. In order to reduce these threats from illegal drones, acoustic feature extraction and classification technologies are introduced for drone sound identification. In this paper, we introduce the acoustic feature vector extraction method of harmonic line association (HLA), and subband power feature extraction based on wavelet packet transform (WPT). We propose a feature vector extraction method based on combined HLA and WPT to extract more sophisticated characteristics of sound. Moreover, to identify drone sounds, support vector machine (SVM) classification with the optimized parameter by genetic algorithm (GA) is employed based on the extracted feature vector. Four drones' sounds and other kinds of sounds existing in outdoor environment are used to evaluate the performance of the proposed method. The experimental results show that with the proposed method, identification probability can achieve up to 100 % in trials, and robustness against noise is also significantly improved.

Sound Quality Evaluation for Transient Interior Noise of High-Speed Train (음질평가를 통한 고속철도의 과도실내소음 특성 분석)

  • Park, Jun-Hong;Park, Buhm;Lee, Sin-Yeob;Choi, Sung-Hoon
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2010.10a
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    • pp.309-309
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    • 2010
  • 한국은 산과 강이 많고 평야가 적은 지형적 특성상 터널 구간, 교량 구간 등이 많고 철도 차량이 이러한 구간들을 통과할 때 차량 내부에서 발생되는 과도 소음 또한 자주 발생하게 된다. 정상상태에서 소음에 비하여 과도상태에서 소음은 특성이 급격히 변화하여 승객들에게 더욱 큰 성가심을 유발할 수 있다. 특히 국내에서 운행중인 KTX 와 KTX 산천과 같은 고속철도의 경우 빠른 운행 속도로 인하여 과도 소음의 정도 또한 높아지게 된다. 따라서 더욱 정숙한 승객들의 승차 환경을 조성하기 위하여 과도상태에서의 실내소음 특성분석은 그 중요성이 더욱 커지고 있다. 본 연구에서는 고속철도가 감속 가속할 때, 터널을 통과할 때, 교량 위를 운행할 때, 차량이 교행할 때 등의 과도 상태에서의 실내 소음 특성을 음질평가의 방법으로 분석하고 정상상태에서의 소음 특성과 비교하였다.

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Room acoustic analysis in university classrooms using experimental results (실측을 통한 대학 강의실 음향 특성에 관한 연구)

  • Kim, Yeun-Seon;Song, Min-Ho;Park, In-Sun;Park, Sang-Kyu
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.11a
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    • pp.493-502
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    • 2007
  • Measurements of RT, EDT, $D_{50}$, $C_{50}$ and STI carried out in three different unoccupied University classrooms. For acoustic measurements, various sound sources are used (white noise, pistol shot, MLS and sweep signal). In this study, It found that interaction exists between sound source and place. Also there was high correlation between STI and various acoustic parameter.

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Source Identification and Reduction of Noise for the Outdoor Unit of Room Air Conditioner (실외기 소음원 규명 및 소음저감)

  • 서상호;이근동;이내영;진심원
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1998.04a
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    • pp.575-581
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    • 1998
  • The noise sources in the outdoor unit of RAC(Room Air Conditioner) are identified by the sound intensity method. The main noise sources are compressor noise and fluid noise which is caused by the fan, heat exchanger and shroud. First, the fluid noise is reduced through the design ol new fan and shroud with high flow rate and low noise, reduction of the system resistance by rearrangement of heat exchanger, and optimization of the complex parameter between the fan and shroud. Next, in order to reduce the compressor noise, the new shape of compressor mount and sound-proof material was applied. As a result, the overall noise was reduced by 4-5dB(A).

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A Study on the Noise Reduction of the Engine Cooing Fan of an Express Bus by Change of Design Parameters (설계파라미터 변경에 의한 고속버스용 엔진 냉각 팬의 저소음화 연구)

  • Jae-Eung OH;You-Yub LEE;Hyun-Jin Sim;Mon-Kab Joe
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.11a
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    • pp.333.1-333
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    • 2002
  • This paper suggests the noise reduction method of the engine cooling fan. It was estimated the fannoise contribution at the engine room and identified the noise source at the rotating fan by sound intensity method, first. And it has been developed the program for predicting the noise spectrum of axial flow fan. The radiated acoustic pressure is expressed the discrete frequency noise peaks at BPF and its harmonics and the line spectrum at the broad band by the noise generation mechanisms. In this paper it is shown that the comparison of the measuted and calculaed noise spectra of fn for the validation of the noise predictiong program. And this paper presents the characteristics of a fan noise due to modify the design parameters. Accordingly, it was obtained the design parameter values for noise reduction of fan.

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Design Program of Low Noise Centrifugal Fans (저소음 원심형 홴의 설계 프로그램)

  • 박준철;손정민;김기황;이승배
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.11a
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    • pp.529-535
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    • 2001
  • A centrifugal fan design code was developed and packaged together with iDesignFan/sup TM/ as new models. This code generate centrifugal forward curved and backward curved bladed impeller optimally. It also predicts the aerodynamic performance and the overall sound pressure level of the rotating fan by assuming steady blade loading. The overall sound pressure level is used as an input parameter from the third loop of the designing process to acquire the most silent fan for the given aerodynamic performance parameters. With this kind of inverse design concept used in the code, the period of designing a fan is significantly shortened. A centrifugal fan design code, developed in this study and included in iDesignFan/sup TM/, predicts the aerodynamic performance such as design flow rate and static pressure. The aerodynamic performance in the design and off-design conditions is calculated by using the mean line analysis. For the steady loading calculation, the lift force distribution in a blade is used.

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Prediction of Outdoor Sound Propagation under Envrionmental Change (환경변화의 영향을 고려한 소음예측기법)

  • Kim, Dong-Hyun;Han, Sang-Bo;Park, Sung-Jin
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2000.06a
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    • pp.1865-1870
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    • 2000
  • Sound propagation along the surface of the ground can be affected by the roughness of the ground surface and the direction of the wind. Noise Source parameter and ground factor are estimated using the measured results of two points under particular environmental condition, and the noise level of arbitrary points under the same environmental condition can be estimated. The results can be used for the prediction of the noise level from a source above a plain and homogeneous ground surface with no obstacles nearby. Upward and downward conditions are also addressed in addition to ground effect. The proposed method can be utilized to estimate the noise level of specific noise environment and its validity was confirmed with the results of actual field measurement.

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Analysis of Sound Characteristics from Window Motors for Vehicle (차량용 창문 모터의 소음 특성 분석)

  • Kim, Jae-Won;Seo, Jin-Won;Lee, Kwang-Hee
    • 한국전산유체공학회:학술대회논문집
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    • 2008.03b
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    • pp.17-20
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    • 2008
  • An Electric motor is used for user-friendly equipment in vehicles. In this paper, an electric motor for windows is considered for the tunning of engineering inspection concerned with noise level from it. Noise from the electric window motor is a kind of structure-borne noise and becomes a reference parameter for its engineering performance. Estimation of noise from the motors shows the quantitative values such as overall noise. Noise level at each frequency and the qualitative figures for the transient characteristics of sound are also revealed. The loudness level, one of the qualitative parameters, distinguishes the performances of every components by the comparison of its magnitude. In summary, it is found that the qualitative comparisons become useful means for the inspection of electric motors.

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A Study on the Word Recognition of Korean Speech using Neural Network- A study on the initial consonant Recognition using composite Neural Network (신경망을 이용한 우리말 음성의 인식에 관한 연구 - 복합 신경망을 이용한 초성자음 인식에 관한 연구)

  • Kim, Suk-Dong;Lee, Haing-Sei
    • The Journal of the Acoustical Society of Korea
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    • v.11 no.3
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    • pp.14-24
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    • 1992
  • This paper is a study on the consonant recognition using neural network. First, the part of consonant was separated from the sound of vowel and consonant by the use of acoustic parameter. The rate of length vs. zero crossing rate in the sound of consonant had been studied by dividing each consonant into several groups. Finally, for the purpose of consonant recognition, the composite neural network which consists of a control network and several sub-network is proposed. The control network identifies the group to which the input consonant belongs and the sub-network recognizes the consonant in each group.

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