Publications

Microelectronics

Electricity for Fluidics and Bio-Devices

Hyomin Lee, Sung Jae Kim, Marie Frénéa-Robin, Bruno Le Pioufle, Thi Hong Nhung Dinh, Stephane Serfaty, Pierre-Yves Joubert

Barbillon G. - 2020

Electric power

opENS : un concept de prototype de Smart Grid à puissance réduite, faible coût, libre et ouvert

L'étude de Smart Grid est pluridisciplinaire et est caractérisée par des difficultés expérimentales liées aux disciplines, aux coûts, aux données disponibles et à la complexité des systèmes étudiés. Cet article présente le concept opENS, basé sur un…

Gurvan Jodin, Guillaume Herault, Roman Le Goff Latimier, Sami Hlioui, Gilles Rostaing, H. Ben Ahmed

Symposium de Génie Electrique SGE 2020 - 2020

Engineering Sciences

Design of an active front-end rectifier controller with an accurate estimation for the dynamic of its deadbeat current control loop

Ines Ben Ali, Mohamed Wissem Naouar, Eric Monmasson

SN Applied Sciences - 2020

Engineering Sciences

Physique-chimie PSI-PSI* Concours X, ENS, CentraleSupélec, Mines-Ponts, CCINP

Théodore Cherrière, Alexandre Daby-Seesaram, Steeven Janny, Jeanne Redaud

Signal and Image processing

Selection of regularization parameter in sparse inverse problems for DOA estimation

This article deals with the selection of the regularization parameter of a sparse L0 regularized criterion for DOA (Direction-of-Arrival) estimation. This parameter is generally empirically obtained. In this paper, we establish a theoretical range…

Alice Delmer, Anne Ferréol, Pascal Larzabal

Journal of Physics: Conference Series - 2020

Electromagnetism

Magnetic shielding of a thin Al/steel/Al composite

Purpose-This paper aims to investigate the efficiency of a laminated composite for shielding applications. The solution has to be efficient not only for the shield against static magnetic fields but also "for low-frequency ones, in order to be well…

Paul Clérico, Xavier Mininger, Laurent Prevond, Thierry Baudin, Anne-Laure Helbert

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering - 2020

Electric power

Characterization of low and high frequency phenomena in a PEM fuel cell using singularity analysis of stack voltage

The aim of this work is to propose a new development of the fuel cell characterization tool based on Voltage Singularity Spectrum (VSS), a pattern that can advantageously be estimated from the "free" evolution of the stack voltage. A Polymer…

Djedjiga Benouioua, Denis Candusso, Fabien Harel, Xavier Francois, Pierre Picard

Journal of Energy Storage - 2020

Electric power

Impact of cyclic mechanical compression on the electrical contact resistance between the gas diffusion layer and the bipolar plate of a polymer electrolyte membrane fuel cell

The electrical contact resistance between the Gas Diffusion Layer (GDL) and the BiPolar Plate (BPP) used in Polymer Electrolyte Membrane Fuel cells (PEMFCs) is responsible for a substantial amount of Ohmic losses in the electrical power generator…

Khadidja Bouziane, El Mahdi Khetabi, Rémy Lachat, Nada Zamel, Yann Meyer, Denis Candusso

Renewable Energy - 2020

Materials Science

Increase of magnetic and magnetoelectric properties in Co/Mn co-doped BiFeO3 multiferroic

Co and Mn co-doped BiFeO3 samples are successfully realized using a stirred hydrothermal route to form BiFe0.9CoxMn0.1-xO3 (for x=0.01, 0.03, 0.05, 0.07 and 0.09) system. Our data show that both the ferroelectric (TC) and antiferromagnetic (TN)…

Arij Marzouki, Vincent Loyau, Pascale Gemeiner, Lotfi Bessais, Brahim Dkhil, Adel Megriche

Journal of Magnetism and Magnetic Materials - 2020

Statistics

Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification

Bayesian Neural Networks (BNNs) have been long considered an ideal, yet unscalable solution for improving the robustness and the predictive uncertainty of deep neural networks. While they could capture more accurately the posterior distribution of…

Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch

NeurIPS workshop on Bayesian Deep Learning - 2020