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Affichage des publications 21 à 30 sur 3792 au total

Electronics

Z-SpecNNet: A Real-Time Embedded NN-Based Parameters Estimation for WPT Systems

This article proposes a fully embedded real-time mutual inductance and load estimation technique (Z-SpecNNet) applicable to wireless power transfer (WPT) systems. The technique consists of a three-step process, starting with online noise injection…

Thomas Boulanger, Vincenzo Cirimele, Mattia Ricco, Eric Monmasson

IEEE Transactions on Industrial Electronics -

Signal and Image processing

Transfer Learning for Data Fusion for Electromagnetic and Ultrasound Breast Imaging

Aiming at improved breast imaging, this contribu- tion explores several scenarios for segmenting and estimating the distribution of electromagnetic (EM) and/or ultrasonic (US) parameters within breast tissue. A two-fold approach is adopted,…

Valentin Noël, Thomas Rodet, Dominique Lesselier

IEEE Transactions on Computational Imaging -

Mechanics of materials

Ellipsometry of surface acoustic waves using 3D vibrometry for viscoelastic material characterization by the estimation of complex Lamé coefficients versus the frequency

Surface acoustic waves (SAW) are adequate regarding material characterization because they have low geometric attenuation compared to bulk waves. SAW can be generated easily by normal excitation using contact transducers or power lasers and have…

Aziz Bouzzit, Loïc Martinez, Andrés Arciniegas, Stephane Serfaty, Nicolas Wilkie-Chancellier

Applied Acoustics -

Acoustics

An innovative method for the objective comparison of the performance of active control devices

In the active control literature, the question of how to objectively and comprehensively compare system performance has received little attention. In most cases, comparisons are only made on a paper-specific application and cannot be extended to new…

Loïc Forma, Henri Boutin, Nicolas Wilkie-Chancellier, Sandie Le Conte, Marguerite Jossic

Journal of Sound and Vibration -

Computer Science

Application of Belief Theories for Railway Track Defect Detection

Faced with increasing traffic, railway infrastructures are encountering growing demands, particularly in high-traffic areas. In this context, rail and sleepers emerge as the components most susceptible to failure. To assist infrastructure managers …

Alain Rivero, Sasa Radosavljevic, Philippe Vanheeghe

International Journal of Automation, Artificial Intelligence and Machine Learning -