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Publications

Affichage des publications 11 à 20 sur 3898 au total

Embedded Systems

Towards an embedded architecture based back-end processing for AGV SLAM applications

Place recognition plays a crucial role in the Simultaneous Localization and Mapping (SLAM) process of self-driving cars. Over time, motion estimation is prone to accumulating errors, leading to drift. The ability to accurately recognize previously…

Mohammed Chghaf, Sergio Rodríguez Flórez, Abdelhafid El Ouardi

Microprocessors and Microsystems: Embedded Hardware Design -

Electromagnetism

Impact of guillotine cutting on losses in silicon steel

An experimental study of the impact of cutting processes on the magnetic properties of electrical steel sheets is presented. Cuttings by guillotine and electric discharge machining, with and without heat treatment, are considered. Microstructural…

Jeanne Le Soudeer, Olivier de La Barrière, Adrien Gilson, Yoann Guilhem, Olivier Hubert, Frédéric Mazaleyrat

Soft Magnetic Materials conférence -

Atomic Physics

À la jonction de deux infinis

Flottant entre deux profondeurs, celle des atomes d’un côté et celle des galaxies de l’autre, deux petits livres, récemment publiés, nous donnent un aperçu de l’état actuel de notre compréhension d’un Univers où les lois de la physique comblent la…

Martino Lobue

En attendant Nadeau -

Electric power

Contribution à la définition des enjeux et verrous de la soutenabilité en électronique de puissance

The GT-CEPPS (Working Group on More Sustainable Electronic Power Converters) of the GDR SEEDS (Electrical Energy Systems in their Societal Dimensions) presents here the results of its work on the challenges and obstacles to sustainability in power…

Adrien Voldoire, Guillaume Vine, Luiz Fernando Lavado Villa, Paul-Etienne Vidal, Ulrich Soupremanien, Florentin Salomez, Boubakr Rahmani, Tanguy Phulpin, Pierre Lefranc, Lionel Laudebat, Marina Labalette, Pierre-Olivier Jeannin, Hugo Helbling, Suzanne Guillou, Vincent Grennerat, Murielle Fayolle-Lecocq, Laurent Dupont, Jean-Christophe Crébier, Antoine Cizeron, Elise Chaumat, Daniel Chatroux, Hamid Ben-Ahmed, Morgan Almanza

Symposium de Génie Electrique (SGE 2025) -

Artificial Intelligence

Diagnosis of Wiring Networks Using Reflectometry and the Inception-ResNet V2 Network

Fault diagnosis in wiring networks is crucial for reliable industrial system operation. This paper introduces a novel method combining Time Domain Reflectometry (TDR) with the Inception-ResNet V2 network for fault diagnosis. By converting TDR…

Abdelhak Goudjil, Mostafa Kamel Smail, Houssem Bouchekara, Abderrahmane Boubezoul

COMPUMAG -

Electric power

Convertisseur Flyback pour l'alimentation de polymères électro-actifs

Les matériaux électro-actifs sont des matériaux prometteurs pour des nombreuses applications. Pour exploiter au mieux leurs potentiels, les architectures d'électronique de puissance doivent être efficaces et compactes. Parmi les architectures…

Christophe Baron, Elie Lefeuvre, Fabien Parrain, Martino Lobue, Morgan Almanza

symposium de génie électrique -

Engineering Sciences

Modeling lightning surface current plates: S-PEEC analytical formulation and experimental validation

This paper presents an innovative approach based on the partial element equivalent circuit (PEEC) method and the analytical integration of its coupling equations.. Emphasis is placed on the implementation of a surface-based formalism, referred to…

Danica Cvetkovic, Sébastien Lalléchère, Vincent Melchor, Lucas Pniak, Yonathan Corredores, François de Daran, Pierre-Etienne Lévy, Lionel Pichon

European Physical Journal: Applied Physics -

Electric power

Losses in electrostatic actuation: a key challenge for electrocaloric cooling devices

Cooling plays a vital role in daily life, accounting for around 10% of global electricity consumption. Electrocaloric cooling is an emerging technology that offers a promising, energy-efficient alternative to traditional vapor compression…

Elie Zoghbi, Morgan Almanza, Martino Lobue

6ème Symposium de génie électrique (SGE 2025) -

Computer Science

A preconditioned Hessian-like proximal gradient algorithm for sparse ML-DOA estimation

Maximum Likelihood (ML) Direction-of-Arrival (DoA) estimation under the Vectorized Covariance Matrix Model (VCMM) offers improved performance but remains computationally intensive. To alleviate this issue, sparse formulations have been adopted and…

Thomas Aussaguès, Anne Ferréol, Alice Delmer, Pascal Larzabal

10th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2025) -