Publicaciones

• Communication dans un congrès

Cross-Layer CNN Approximations for Hardware Implementation

Karim Mohamed Abedallah Ali, Ihsen Alouani, Abdessamad Ait El Cadi, Hamza Ouarnoughi, Smail Niar

Convolution Neural Networks (CNNs) are widely used for image classification and object detection applications. The deployment of these architectures in embedded applications is a great challenge. This challenge arises from CNNs’ high computation complexity that is required to be implemented on...

ARC 2020 : Applied Reconfigurable Computing, Apr 2020, Toldedo (Virtual Event), Spain. pp.151-165, ⟨10.1007/978-3-030-44534-8_12⟩. ⟨hal-03430302⟩

• Article dans une revue

Giant Magnetoelastic Coupling in a Love Acoustic Waveguide Based on TbCo 2 /FeCo Nanostructured Film on ST-Cut Quartz

Aurélien Mazzamurro, Yannick Dusch, Philippe Pernod, Olivier Bou Matar, Ahmed Addad, Abdelkrim Talbi, Nicolas Tiercelin

In this work, we propose a theoretical and experimental investigation of the interaction of guided pure shear horizontal (SH) wave within a uniaxial multilayered TbCo2/FeCo thin film deposited on Quartz ST-90°X cut in a delay line configuration. We evaluate theoretically the evolution of phase...

Physical Review Applied, 2020, 13 (4), ⟨10.1103/PhysRevApplied.13.044001⟩. ⟨hal-02946150⟩

• Brevet

Dispostif et procédé de sélection de cellules eucaryotes dans un canal de transport par altération des cellules eucaryotes au moyen d'un rayonnemement électromagnétique

Luc Liegeois, Emmanuel Courtade, Hervé Damart, Jean Pesez, Quentin Thommen, Anthony Treizebre

Pologne, N° de brevet: PL3180417 (T3) 2020-03-31. 2020, N° de priorité : FR20140057734 20140811 - N° de demande : PL20150759885T 20150804. ⟨hal-05653796⟩

• Article dans une revue

OLIMP: a heterogeneous multimodal dataset for advanced environment perception

Amira Mimouna, Ihsen Alouani, Anouar Ben Khalifa, Yassin El Hillali, Abdelmalik Taleb-Ahmed, Atika Rivenq, Abdeldjalil Ouahabi, Najoua Essoukri Ben Amara

A reliable environment perception is a crucial task for autonomous driving, especially in dense traffic areas. Recent improvements and breakthroughs in scene understanding for intelligent transportation systems are mainly based on deep learning and the fusion of different modalities. In this...

Electronics, 2020, 9 (4), pp.560. ⟨10.3390/electronics9040560⟩. ⟨hal-03140627⟩

• Pré-publication, Document de travail

Experimental Evidence for Heavy Tailed Interference in the IoT

Laurent Clavier, Troels Pedersen, Ignacio Rodriguez, Mads Lauridsen, Malcolm Egan

5G and beyond sees an ever increasing density of connected things. As not all devices are coordinated, there are limited opportunities to mitigate interference. As such, it is crucial to characterize the interference in order to understand its impact on coding, waveform and receiver design. While a...

2020. ⟨hal-02521928⟩

• Thèse

Design and production of Gallium Nitride based anti-pollution gas sensors for automotive applications, Conception et réalisation de capteurs de gaz antipollution à base de Nitrure de Gallium pour application automobile

Hassane Ouazzani Chahdi

Le nitrure de gallium (GaN) est un semi-conducteur à large bande interdite ayant des propriétés physiques exceptionnelles. C’est un matériau très convoité pour la réalisation de dispositifs en électronique de puissance RF ou de commutation, en plus de pouvoir être fonctionnel à haute température....

Engineering Sciences [physics]. Université de Sherbrooke; Université de Lille, 2020. English. ⟨NNT : ⟩. ⟨tel-03872852⟩

• Chapitre d'ouvrage

Radio channel access challenges in LoRa low-power wide-area networks

Cong-Duc Pham, Ahcène Bounceur, Laurent Clavier, Umber Noreen, Muhammad Ehsan

Recently, Low-Power Wide Area Networks (LPWAN) play a key role in the Internet-of-Things (IoT) maturation process. Under the LPWAN broad term are a variety of technologies enabling power efficient wireless communication over very long distances. For instance, technologies based on ultra-narrow band...

LPWAN Technologies for IoT and M2M Applications, Elsevier, pp.65-102, 2020, ⟨10.1016/B978-0-12-818880-4.00004-1⟩. ⟨hal-02514183⟩

• Communication dans un congrès

STEM and STXM-XANES analysis of FIB sections of Ultracarbonaceous Antarctic Micrometeorites (UCAMMs)

B Guérin, C Engrand, C Le Guillou, H Leroux, J Duprat, E Dartois, S Bernard, K Ben- Zerara, J Rojas, M Godard, L Delauche, David Troadec

Introduction: Ultracarbonaceous Antarctic Micrometeorites (UCAMMS) are extraterrestrial dust particles containing large amount of carbonaceous material with elevated D/H ratios [1] and high N/C atomic ratio (up to 0.2)[2]. UCAMMS are rare (~ 1% of the particles in the Concordia meteorite collection...

Lunar and Planetary Science Conference, Mar 2020, Houston, United States. pp.2117. ⟨hal-03052469⟩

• Communication dans un congrès

Nanometre-scale infrared chemical imaging (AFM-IR) of organic matter in ultra-carbonaceous Antarctic micrometeorites (UCAMMS) and future analyses of Hayabusa 2 samples.

J Mathurin, E Dartois, C Engrand, J Duprat, A Deniset- Besseau, A Dazzi, Y Kebukawa, T Noguchi, David Troadec

Introduction: The chemical composition of organic matter (OM) in interplanetary samples (meteorites and micrometeorites) is suitably characterized by the distribution of the different chemical bonds using infrared (IR) vibrational spectroscopy (see e.g. [1]). Classical IR microscopy provides a...

Lunar and Planetary Science Conference, Mar 2020, Houston, United States. ⟨hal-03052490⟩

• Communication dans un congrès

Evidence of irradiation in interplanetary space in minerals from an ultracarbonaceous Antarctic micrometeorites (UCAMM)

C Engrand, E Charon, H Le- Roux, M Marinova, J Duprat, E Dartois, B Guérin, J Rojas, L Delauche, M Godard, David Troadec

Introduction: Ultracarbonaceous Antarctic Micrometeorites (UCAMMs) are dominated by N-rich polyaromatic organic matter exhibiting large D enrichments [1-5]. The high abundance of organic matter exhibiting large D enrichment suggests a cometary origin for UCAMMs [1-3]. Three kinds of organic matter...

Lunar and Planetary Science Conference, Mar 2020, Houston, United States. ⟨hal-03052538⟩