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The measured parameters such as ultrasonic velocities, attenuation and elastic constants as a function of temperature reveal the possibility of utilizing the proposed technique for complete characterization of materials over wide range of temperatures.
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Finally, it is shown how to utilize the proposed techniques to design unknown input observers.
The proposed technique utilizes the Cross Ambiguity Function (CAF), hence, called as the CAF-DF technique.
The proposed technique utilizes the phases of modulated complex lapped transform (MCLT) coefficients of the audio signal.
The proposed technique utilizes optimally weighted frame-level log-likelihood scores for speaker identification.
The proposed technique utilizes Lamb mode conversion effects caused by the presence of crack damage in plate structures.
The proposed technique utilizes the operating characteristics of a fuel cell, such as voltage, current and power, to control the supply of liquid fuel and regulate its concentration.
Finally, since the proposed technique utilizes the classification of individual letters or words, it was shown that it can be used to detect a forged document consisting of parts originating from different device types.
The proposed technique utilizes a single pair of PZTs collocated on the opposite surfaces of a structure to extract mode conversion produced by crack formation.
The proposed technique utilizes the relative position of the tip diffraction echo to the corner reflection echo in an ultrasonic B-scan image to estimate the crack length and the crack inclination angle.
In order to evaluate the proposed technique, we utilize the Document Image Database from the University of Oulu.
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