Publicaciones

Affichage de 2171 à 2180 sur 5525


  • ART

Role of isosorbide comonomer on interfacial tension with subsequent mophologies & mechanical properties of biobased poly(L-lactide)/poly(ethylene-co-isosorbide terephtalate) blends

Amani Bouzouita, Cédric Samuel, Thibault Parpaite, Marie France Lacrampe, Marion Collinet, Serge Bourbigot, Gaelle Fontaine, Sophie Marcille, Helene Amedro, Jérémie Soulestin

Abstracts of Papers of the American Chemical Society, 2018, 255. ⟨hal-03190797⟩

  • COMM

Current Signal Analysis of an Induction Machine with a Defective Rolling Bearing

Aroua Fourati, Adeline Bourdon, Didier Remond, Nabih Feki, Fakher Chaari, Mohamed Haddar

With the ultimate goal of rotating machinery diagnosis using Motor Current Signal Analysis (MCSA), this paper provides a coupled electro-magnetic-mechanical model of a rotating shaft supported by rolling bearings and driven by a three-phase squirreled cage motor. The modeling is based on the...

ADVANCES IN CONDITION MONITORING OF MACHINERY IN NON-STATIONARY OPERATIONS, CMMNO 2016, Sep 2016, HEIDELBERGER PLATZ 3, D-14197 BERLIN, Germany. pp.43-U63, ⟨10.1007/978-3-319-61927-9\_5⟩. ⟨hal-04670507⟩

  • ISSUE

IA & Gestion des connaissances

Juliette Mattioli, Alain Berger, Bruno Patin, Dominique Longin, Emmanuel Adam

Ce numéro contient un dossier industriel sur la thématique « État des lieux de la Gestion des Connaissance en France » réalisé par Juliette MATTIOLI (THALES), Alain BERGER (ARDANS) et Bruno PATIN (DASSAULT AVIATION). Ce dossier est issu de réflexions menées lors du deuxième Forum Industriel de l’IA...

Bulletin de l'Association Française pour l'Intelligence Artificielle, 99, 2018, Association Française pour l’Intelligence Artificielle. ⟨hal-04589008⟩

  • COMM

DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth

Muhammad Jameel Nawaz Malik, Ahmed Elhayek, Fabrizio Nunnari, Kiran Varanasi, Kiarash Tamaddon, Alexis Heloir, Didier Stricker

Articulated hand pose and shape estimation is an important problem for vision-based applications such as augmented reality and animation. In contrast to the existing methods which optimize only for joint positions, we propose a fully supervised deep network which learns to jointly estimate a full...

2018 International Conference on 3D Vision (3DV), Sep 2018, Vérone, Italy. pp.110-119, ⟨10.1109/3DV.2018.00023⟩. ⟨hal-03383020⟩