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Review on interaction between electromagnetic field and biological tissues
(International Frequency Sensor Association (IFSA), 2012)
The objective of this paper is to have a look on the interaction of electromagnetic field (EM) on biological tissue from the view of physiological and electrical engineering. The understanding of the phenomena in the ...
Optimization of circular side door beam for crashworthiness analysis
(Indonesian Society for Knowledge and Human Development (INSIGHT), 2012)
Structural optimization related to crashworthiness and energy absorption capability is particularly importance to the
automotive industry. The optimization involves highly nonlinear computational analysis and design with ...
A comparative study of wavelet families for classification of wrist motions
(Elsevier Ltd., 2012-11)
The selection of most suitable mother wavelet function is still an open research problem in various signal and image processing applications. This paper presents a comparative study of different wavelet families (Daubechies, ...
Impact response of thin-walled tubes: A prospective review
(Trans Tech Publications, 2012-04)
Thin-walled structures have been widely used in various structural applications asimpact energy absorbing devices. During an impact situation, thin-walled tubesdemonstrate excellent capability in absorbing greater energy ...
Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks
(Elsevier Ltd, 2012-08)
A cry is the first verbal communication of infants and it is described as a loud, high-pitched sound made by infants in response to certain situations. Infant cry signals can be used to identify physical or psychological ...
Analysis of infant cry through weighted linear prediction cepstral coefficients and probabilistic neural network
(Springer Science+Business Media, LLC., 2012)
Acoustic analysis of infant cry signals has been proven to be an excellent tool in the
area of automatic detection of pathological status of an infant. This paper investigates
the application of parameter weighting for ...
Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network
(Elsevier Ireland Ltd., 2012-11)
Crying is the most noticeable behavior of infancy. Infant cry signals can be used to identify physical or psychological status of an infant. Recently, acoustic analysis of infant cry signal has shown promising results and ...
Classification of speech dysfluencies with MFCC and LPCC features
(Elsevier Ltd., 2012-02)
The goal of this paper is to discuss comparison of speech parameterization methods: Mel-Frequency Cepstrum Coefficients (MFCC) and Linear Prediction Cepstrum Coefficients (LPCC) for recognizing the stuttered events. Speech ...