다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기
Applied acoustics, v.113, 2016년, pp.149 - 161
Huang, H.B. , Huang, X.R. , Li, R.X. , Lim, T.C. , Ding, W.P.
AI-Helper
The sound quality of vehicle interior noise strongly influences passengers' psychological and physiological perceptions. To predict the sound quality of interior noise, a vehicle road test with four compact cars has been conducted. All recorded interior noise signals have been denoised via a discret...
Int J Vehicle Noise Vibrat Genuit 1 158 2004 10.1504/IJVNV.2004.004079 The sound quality of vehicle interior noise: a challenge for the NVH-engineers
Mech Syst Signal Process Wang 45 255 2014 10.1016/j.ymssp.2013.11.001 A sound quality model for objective synthesis evaluation of vehicle interior noise based on artificial neural network
Appl Acoust Huang 100 18 2015 10.1016/j.apacoust.2015.06.018 Sound quality evaluation of vehicle suspension shock absorber rattling noise based on the Wigner-Ville distribution
Appl Acoust Johnsson 80 79 2014 10.1016/j.apacoust.2014.01.010 A new test track for automotive squeak and rattle (S&R) detection
Appl Ergon Lee 40 860 2009 10.1016/j.apergo.2008.11.006 Objective evaluation of interior noise booming in a passenger car based on sound metrics and artificial neural networks
J Sound Vib Lee 329 3606 2010 10.1016/j.jsv.2010.03.001 Improvement of impact noise in a passenger car utilizing sound metric based on wavelet transform
Appl Acoust Pietila 73 987 2012 10.1016/j.apacoust.2012.04.012 Intelligent systems approaches to product sound quality evaluations - a review
J Sound Vib Wang 332 3893 2013 10.1016/j.jsv.2013.02.030 Roughness modelling based on human auditory perception for sound quality evaluation of vehicle interior noise
Appl Acoust Yoon 73 1099 2012 10.1016/j.apacoust.2012.02.018 Reliability improvement of a sound quality index for a vehicle HVAC system using a regression and neural network model
Proc Inst Mech Eng D - J Automob Eng Kim 224 735 2010 10.1243/09544070JAUTO1296 Sound quality evaluation of the impact noise induced by road courses having an impact bar and speed bumps in a passenger car
J Sound Vib Wang 299 933 2007 10.1016/j.jsv.2006.07.034 Sound-quality prediction for nonstationary vehicle interior noise based on wavelet pre-processing neural network model
J Sound Vib Vastfjall 255 501 2002 10.1006/jsvi.2001.4166 Affective evaluations of and reactions to exterior and interior vehicle auditory quality
J China Railway Soc Zhang 006 491 2011 Objective evaluation of sound quality of noises inside high speed train
Noise Contr Eng J Powell 49 125 2001 10.3397/1.2839648 Subjective response to propeller airplane interior sounds modified by hypothetical active noise control systems
Proc Roy Soc Lond A: Math Phys Eng Sci Huang 454 903 1998 10.1098/rspa.1998.0193 The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis
Appl Stoch Models Bus Ind Huang 19 245 2003 10.1002/asmb.501 Applications of Hilbert-Huang transform to non-stationary financial time series analysis
Mech Syst Signal Process Ricci 25 821 2011 10.1016/j.ymssp.2010.10.002 Diagnostics of gear faults based on EMD and automatic selection of intrinsic mode functions
Mech Syst Signal Process Xing 66 875 2016 10.1016/j.ymssp.2015.05.003 Sound quality recognition using optimal wavelet-packet transform and artificial neural network methods
J Vib Shock Shen 6 66 2010 Interior sound quality forecast for vehicles based on support vector machine
Mech Syst Signal Process Caesarendra 24 1161 2010 10.1016/j.ymssp.2009.10.011 Application of relevance vector machine and logistic regression for machine degradation assessment
Proc Inst Mech Eng D - J Automob Eng Lee 222 383 2008 10.1243/09544070JAUTO563 Characterization of an axle-gear whine sound in a sports utility vehicle and its objective evaluation based on synthetic sound technology and an artificial neural network
Mech Syst Signal Process Staszewski 11 673 1997 10.1006/mssp.1997.0102 Time-frequency analysis in gearbox fault detection using the Wigner-Ville distribution and pattern recognition
Neural Comput Hinton 18 1527 2006 10.1162/neco.2006.18.7.1527 A fast learning algorithm for deep belief nets
Ciresan 3642 2012 2012 IEEE conference on computer vision and pattern recognition (CVPR) Multi-column deep neural networks for image classification
Graves 6645 2013 2013 IEEE international conference on acoustics, speech and signal processing (ICASSP) Speech recognition with deep recurrent neural networks
Collobert 160 2008 ICML ’08 proceedings of the 25th international conference on machine learning A unified architecture for natural language processing: deep neural networks with multitask learning
Hinton 599 2012 Neural networks: tricks of the trade A practical guide to training restricted Boltzmann machines
J Sound Vib Wang 324 1124 2009 10.1016/j.jsv.2009.02.034 Sound quality estimation for nonstationary vehicle noises based on discrete wavelet transform
ISO 1975 532B acoustics - method for calculating loudness level
Mech Syst Signal Process Liu 56-57 277 2015 10.1016/j.ymssp.2014.10.005 Sound quality prediction for engine-radiated noise
Appl Acoust Parizet 69 12 2008 10.1016/j.apacoust.2006.09.004 Analysis of car door closing sound quality
J Acoust Soc Am Lee 123 3260 2008 10.1121/1.2933563 Sound quality evaluation for the axle gear noise in the vehicle
J Shock Vib Huang 34 191 2015 Research on the rig test for identifying abnormal noise of suspension shock absorber
Mech Syst Signal Process Egab 70-71 919 2016 10.1016/j.ymssp.2015.09.035 Objective evaluation of interior trim effects on sound quality and noise reduction of a coupled plate cavity system
Automob Eng Zou 36 21 2014 Analysis on the torsional vibration and noise of transmission system hybrid electric cars
Mech Syst Signal Process Soobbarayen 50 732 2015 10.1016/j.ymssp.2014.05.014 A simplified approach for the calculation of acoustic emission in the case of friction-induced noise and vibration
Automob Eng Xu 36 1009 2014 Sound quality analysis of wiper system noise in cars
J Mech Eng Yang 47 91 2011 10.3901/JME.2011.24.091 Research on the sound metric of door slamming sound based on pseudo Wigner-VILLE distribution
Neurocomputing Manimala 77 36 2012 10.1016/j.neucom.2011.08.010 Optimization techniques for improving power quality data mining using wavelet packet based support vector machine
Proc Inst Mech Eng. C - J Mech Eng Sci Ibrahim 225 1833 2011 10.1177/0954406211403571 Comparison between Wigner-Ville distribution-and empirical mode decomposition vibration-based techniques for helical gearbox monitoring
Huang 2518 2012 2012 IEEE conference on computer vision and pattern recognition (CVPR) Learning hierarchical representations for face verification with convolutional deep belief networks, computer vision and pattern recognition (CVPR)
IEEE, Trans Audio, Speech, Language Process Ling 21 2129 2013 10.1109/TASL.2013.2269291 Modeling spectral envelopes using restricted Boltzmann machines and deep belief networks for statistical parametric speech synthesis
Signal Process Mag Hinton 29 82 2012 10.1109/MSP.2012.2205597 Deep neural networks for acoustic modeling in speech recognition: the shared views of four research groups
Reliab Eng Syst Saf Tamilselvan 115 124 2013 10.1016/j.ress.2013.02.022 Failure diagnosis using deep belief learning based health state classification
Expert Syst Appl Tran 41 4113 2014 10.1016/j.eswa.2013.12.026 An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks
Tang Y. Deep learning using linear support vector machines. Arxiv Preprint arXiv:1306.0239; 2013.
2011 IEEE workshop on applications of signal processing to audio and acoustics (WASPAA) Schmidt 65 2011 10.1109/ASPAA.2011.6082328 Learning emotion-based acoustic features with deep belief networks
Expert Syst Appl Juang 36 321 2009 10.1016/j.eswa.2007.10.028 Speech detection in noisy environments by wavelet energy-based recurrent neural fuzzy network
Electrochem Commun Moshrefi 48 49 2014 10.1016/j.elecom.2014.08.005 Application of wavelet entropy in analysis of electrochemical noise for corrosion type identification
IEEE Trans Audio Speech Language Process Zhang 21 697 2013 10.1109/TASL.2012.2229986 Deep belief networks based voice activity detection
Expert Syst Appl Wu 38 536 2011 10.1016/j.eswa.2010.06.099 An engine fault diagnosis system using intake manifold pressure signal and Wigner-Ville distribution technique
Appl Acoust Liu 76 128 2014 10.1016/j.apacoust.2013.07.026 General regression neural network for prediction of sound absorption coefficients of sandwich structure nonwoven absorbers
Expert Syst Appl Wu 36 2187 2009 10.1016/j.eswa.2007.12.012 Application of Wigner-Ville distribution and probability neural network for scooter engine fault diagnosis
ACM Trans Intell Syst Technol Chang 2 1 2011 10.1145/1961189.1961199 LIBSVM: a library for support vector machines
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.