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Affichage de 2981 à 2990 sur 16549

Article dans une revue

Thermal control of nucleation and propagation transition stresses in discrete lattices with non-local interactions and non-convex energy

Andrea Cannizzo, Luca Bellino, Giuseppe Florio, Giuseppe Puglisi, Stefano Giordano

Non-local and non-convex energies represent fundamental interacting effects regulating the complex behavior of many systems in biophysics and materials science. We study one-dimensional, prototypical schemes able to represent the behavior of several biomacromolecules and the phase transformation…

The European Physical Journal Plus, 2022, 137 (5), pp.569. ⟨10.1140/epjp/s13360-022-02790-9⟩. ⟨hal-03673427⟩

Article dans une revue

Efficient palmprint biometric identification systems using deep learning and feature selection methods

Selma Trabelsi, Djamel Samai, Fadi Dornaika, Azeddine Benlamoudi, Khaled Bensid, Abdelmalik Taleb-Ahmed

Over the past two decades, several studies have paid great attention to biometric palmprint recognition. Recently, most methods in literature adopted deep learning due to their high recognition accuracy and the capability to adapt with different acquisition palmprint images. However, high-…

Neural Computing and Applications, 2022, 34, pp.12119-12141. ⟨10.1007/s00521-022-07098-4⟩. ⟨hal-03614754⟩

Article dans une revue

Temperature and Gate-Length Dependence of Subthreshold RF Detection in GaN HEMTs

Gaudencio Paz-Martínez, Ignacio Íñiguez-De-La-Torre, Héctor Sánchez-Martín, José Antonio Novoa-López, Virginie Hoel, Yvon Cordier, Javier Mateos, Tomás González

The responsivity of AlGaN/GaN high-electron mobility transistors (HEMTs) when operating as zero-bias RF detectors in the subthreshold regime exhibits different behaviors depending on the operating temperature and gate length of the transistors. We have characterized in temperature (8–400 K) the…

Sensors, 2022, 22 (4), pp.1515. ⟨10.3390/s22041515⟩. ⟨hal-03582713⟩

Article dans une revue

Molecular beam epitaxial growth of multilayer 2D-boron nitride on Ni substrates from borazine and plasma-activated nitrogen

Jawad Hadid, Ivy Colambo, Jose Avila, Aexandre Plaud, Christophe Boyaval, D. Deresmes, Nicolas Nuns, Pavel Dudin, Annick Loiseau, Julien Barjon, Xavier Wallart, Dominique Vignaud

2D boron nitride (2D-BN) was synthesized by gas-source molecular beam epitaxy on polycrystalline and monocrystalline Ni substrates using gaseous borazine and active nitrogen generated by a remote plasma source. The excess of nitrogen atoms allows to overcome the thickness self-limitation active on…

Nanotechnology, 2022, 34 (3), pp.035601. ⟨10.1088/1361-6528/ac99e5⟩. ⟨hal-03818640⟩

Article dans une revue

Equal-efficiency diffraction of unpolarized wideband light with acousto-optic filters

Samuel Dupont, Justine Champagne, Jean-Claude Kastelik

We present the diffraction of unpolarized light over a broad wavelength range using paratellurite Acousto-Optic Tuneable Filters. The diffraction of unpolarized light usually relies on a specific operating point that is sensitive to the wavelength and angle of incidence, resulting in an operating…

Journal of Modern Optics, 2022, 69 (13), 10 p. ⟨10.1080/09500340.2022.2085336⟩. ⟨hal-03699158⟩

Communication dans un congrès

Rayleigh Modes Generated by Laser-Ultrasonics at the Film-Substrate Interface for the Study of Adhesion

Martin Robin, Meriem Chrifi Alaoui, Frédéric Jenot, Mohammadi Ouaftouh, Marc Duquennoy

Adhesion testing of film-on-substrate structures by surface acoustic waves is a complex issue. Indeed, the fluctuations of some parameters like the film thickness can lead to misinterpretation of the experimental results. Additionally, in laser-ultrasonics, the positions of the generation and…

16ème Congrès Français d'Acoustique, CFA 2022, Société Française d'Acoustique; Laboratoire de Mécanique et d'Acoustique, Apr 2022, Marseille, France. ⟨hal-03688151v2⟩

Article dans une revue

State of the Art of Chemosensors in a Biomedical Context

Erich Kny, Ciril Reiner-Rozman, Jakub Dostalek, Achim-Walter Hassel, Christa Nöhammer, Florian Pfaffeneder-Mantai, Sabine Szunerits, Viktoria Weber, Wolfgang Knoll, Christoph Kleber

Healthcare is undergoing large transformations, and it is imperative to leverage new technologies to support the advent of personalized medicine and disease prevention. It is now well accepted that the levels of certain biological molecules found in blood and other bodily fluids, as well as in…

Chemosensors, 2022, 10 (6), pp.199. ⟨10.3390/chemosensors10060199⟩. ⟨hal-03681612⟩

Article dans une revue

Ultrasonic investigation of the effect of compressive strains on 3D periodic bi-material structures

Lynda Chehami, Jingfei Liu, Pascal Pomarède, Paul Lohmuller, Boris Pittrowski, Fodil Meraghni, Nico Declercq

Due to the specific elastic properties such as high stiffness to mass ratio, regular microstructure materials are widely used in the industry. The need for nondestructive evaluation is ubiquitous to ensure material quality. As an effective nondestructive testing method, ultrasound has great…

Acta Acustica, 2022, 6, pp.26. ⟨10.1051/aacus/2022023⟩. ⟨hal-03748457⟩

Communication dans un congrès

Mise en œuvre de capteurs RF-MEMS acoustiques pour l’industrie 4.0

Yannick Dusch, Cécile Ghouila-Houri, Aurélien Mazzamurro, Ghizlane Boussatour, Hatem Dahmani, Olivier Bou Matar, Vincent Maurice, Philippe Pernod, Abdelkrim Talbi

Cette étude propose la conception complète d’un système de suivi à distance des sollicitations mécaniques dans les machines électriquesafin de répondre aux problématiques de l’industrie 4.0 et de la maintenance prédictive. Elle s’appuie sur la conception, la fabrication et la caractérisation de…

16emes journées pédagogiques du CNFM, JPCNFM’2021, CNFM, Dec 2021, Saint-Malo, France. 6 p., J3eA Hors-série 1 - Actes JPCNFM’2021, Volume 21 (2022), ⟨10.1051/j3ea/20221019⟩. ⟨hal-03464507⟩

Communication dans un congrès

Unsupervised deep learning to solve power allocation problems in cognitive relay networks

Yacine Benatia, Anne Savard, Romain Negrel, Elena Veronica Belmega

In this paper, an unsupervised deep learning approach is proposed to solve the constrained and non-convex Shannon rate maximization problem in a relay-aided cognitive radio network. This network consists of a primary and a secondary user-destination pair and a secondary full-duplex relay performing…

IEEE International Conference on Communications Workshops, ICC Workshops 2022, May 2022, Séoul, South Korea. ⟨10.1109/ICCWorkshops53468.2022.9814541⟩. ⟨hal-03534545v4⟩