Publications

• Communication dans un congrès

Securing Cyber-Physical Industrial Systems Against False Data Injection Attacks: A Hybrid Detection Approach

Khalil Guibene, Nadhir Messai, Marwane Ayaida

Cyber-physical industrial systems are internet-enabled physical entities embedded with computers and control components consisting of sensors and actuators. However, interconnecting the cyber and physical spaces led to new security challenges. This paper aims to come up with a novel approach to…

International Conference on Blockchain Computing and Applications (BCCA), 2023, Kuwait, Kuwait. ⟨10.1109/BCCA58897.2023.10338925⟩. ⟨hal-04349602⟩

• Article dans une revue

Editorial: Focus on organic materials, bio-interfacing and processing in neuromorphic computing and artificial sensory applications

Yoeri van de Burgt, Francesca Santoro, Benjamin Tee, Fabien Alibart

Neuromorphic Computing and Engineering, 2023, 3 (4), pp.040202. ⟨10.1088/2634-4386/ad06ca⟩. ⟨hal-04348640⟩

• Article dans une revue

Martens hardness of Constantan thin films on (100) Si wafer: Improvement in contact area function in nanoindentation

Ayyoub Dziri, Alex Montagne, Francine Roudet, Katir Ziouche, Didier Chicot

This work presents a mechanical study by nanoindentation of Constantan thin films deposited by cathodic sputtering technique with an intermediate thin adhesion layer of titanium on a (100) silicon wafer substrate. A methodology based on a modified contact area function is proposed for a suitable…

Thin Solid Films, 2023, pp.139712. ⟨10.1016/j.tsf.2023.139712⟩. ⟨hal-03951065⟩

• Article dans une revue

Signal Denoising and Detection for Uplink in LoRa Networks based on Bayesian-optimized Deep Neural Networks

Angesom Ataklity Tesfay, Sofiane Kharbech, Eric Pierre Simon, Laurent Clavier

Long-range and low-power communications are suitable technologies for the Internet of things networks. The long-range implies a very low signal-to-noise ratio at the receiver. In addition, low power consumption requires reduced signaling, hence the use of less complex protocols, such as ALOHA, so…

IEEE Communications Letters, 2023, 27 (1), pp.214 - 218. ⟨10.1109/LCOMM.2022.3217337⟩. ⟨hal-04168105⟩

• Autre publication scientifique

Advances in Historical Studies [Editor in Chief 12/2]

Raffaele Pisano

2023. ⟨hal-04510937⟩

• Autre publication scientifique

Comité Stratégique de Filière et Groupe de Travail – EDEC-2

Sandrine Beaufils, Virginie Hoel

Conseil d’orientation du GIP-CNFM 2023, JPCNFM’2023, 29 novembre 2023, Toulouse, France, 2023. ⟨hal-04406418⟩

• Article dans une revue

Fabrication, and direct current and cryogenic analysis of SF6-treated AlGaN/GaN Schottky barrier diodes

Quentin Fornasiero, Nicolas Defrance, Sylvie Lepilliet, Vanessa Avramovic, Yvon Cordier, Eric Frayssinet, Marie Lesecq, Nadir Idir, Jean-Claude de Jaeger

Schottky contacts on fluorine implanted AlGaN/GaN heterostructures with the ideality factor close to unity and low on-voltage threshold are presented in this paper. An SF 6 plasma anode pretreatment followed by a specific low-temperature annealing is also compared to a nonannealed sample. In…

Journal of Vacuum Science & Technology B, Nanotechnology and Microelectronics, 2023, 41 (1), pp.012202. ⟨10.1116/6.0002125⟩. ⟨hal-03917965⟩

• Article dans une revue

Bio-based substrate for flexible electronics - application to a 2.45 GHz wearable patch antenna

Abdelghafour Sid, Pierre-Yves Cresson, Nicolas Joly, Flavie Braud, Tuami Lasri

In this paper, a bio-based and biocompatible polymer, Cellulose Laurate (CL), is proposed for flexible radiofrequency (RF) electronics. The synthesis of CL films together with their characterizations (chemical, thermal, mechanical and dielectric) are presented. The results obtained allow…

Materials Today Electronics, 2023, 5, pp.100049. ⟨10.1016/j.mtelec.2023.100049⟩. ⟨hal-04146482⟩

• Article dans une revue

Unsupervised and efficient learning in sparsely activated convolutional spiking neural networks enabled by voltage-dependent synaptic plasticity

Gaspard Goupy, Alexandre Juneau-Fecteau, Nikhil Garg, Ismael Balafrej, F. Alibart, Luc Frechette, Dominique Drouin, Yann Beilliard

Spiking neural networks (SNNs) are gaining attention due to their energy-efficient computing ability, making them relevant for implementation on low-power neuromorphic hardware. Their biological plausibility has permitted them to benefit from unsupervised learning with bio-inspired plasticity rules…

Neuromorphic Computing and Engineering, 2023, 3 (1), pp.014001. ⟨10.1088/2634-4386/acad98⟩. ⟨hal-03968284⟩

• Article dans une revue

Assignment Approach for Electric Vehicle Charging Using Traffic Data Collected by SUMO

Riham Farhani, Yassin El Hillali, Atika Rivenq, Yahia Boughaleb, Abdelowahed Hajjaji

Consumption habits are changing due to the development of new technologies around renewable energy, environmental awareness, and new incentive policies. Smart grids are seen as an effective way to accommodate more renewable energy, achieve better control of demand, and improve the operating…

World Electric Vehicle Journal, 2023, 14 (2), pp.40. ⟨10.3390/wevj14020040⟩. ⟨hal-04034398⟩