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Article dans une revue

Multimodal 2d+3d multi-descriptor tensor for face verification

Adel Saoud, Abdelmalik Oumane, Abdelkrim Ouafi, Abdelmalik Taleb-Ahmed

In the last few years, there is a growing interest in multilinear subspace learning for dimensionality reduction of multidimensional data. In this paper, we proposed a multimodal 2D + 3D face verification system based on Multilinear Discriminant Analysis MDA integrating Within Class Covariance…

Multimedia Tools and Applications, 2020, 79 (31-32), pp.23071-23092. ⟨10.1007/s11042-020-09095-y⟩. ⟨hal-03321559⟩

Article dans une revue

Secrecy analysis over cascaded κ-μ fading channels with multiple eavesdroppers

Deemah H. Tashman, Walaa Hamouda, Iyad Dayoub

In this paper, secrecy performance is investigated over the cascaded fading channel for the kappa - mu distribution. The probability density function (PDF) and the cumulative distribution function (CDF) for the cascaded kappa - mu fading channels as well as for some of its special cases, such as…

IEEE Transactions on Vehicular Technology, 2020, 69 (8), pp.8433-8442. ⟨10.1109/TVT.2020.2995115⟩. ⟨hal-03321551⟩

Article dans une revue

Analogue switches made from boron nitride monolayers for application in 5G and terahertz communication systems

Myungsoo Kim, Emiliano Pallecchi, Ruijing Ge, Xiaohan Wu, Guillaume Ducournau, Jack C. Lee, Henri Happy, Deji Akinwande

Hexagonal boron nitride (hBN) has a large bandgap, high phonon energies and an atomically smooth surface absent of dangling bonds. As a result, it has been widely used as a dielectric to investigate electron physics in two-dimensional heterostructures and as a dielectric in the fabrication of two-…

Nature Electronics, 2020, 3 (8), pp.479-485. ⟨10.1038/s41928-020-0416-x⟩. ⟨hal-03140626⟩

Article dans une revue

Enhanced electrocatalytic hydrogen evolution on a plasmonic electrode: the importance of the Ti/TiO2 adhesion layer

Liuqing Pang, Alexandre Barras, Vladyslav Mishyn, Georgiana Sandu, Sorin Melinte, Palaniappan Subramanian, Rabah Boukherroub, Sabine Szunerits

Journal of Materials Chemistry A, 2020, 8 (28), pp.13980-13986. ⟨10.1039/d0ta02353a⟩. ⟨hal-03090016⟩

Article dans une revue

A wide tuning range delay element for event-driven processing of low-frequency signals in 28-nm FD-SOI CMOS

Angel Gonzalez, Antoine Frappé, Benoit Larras, Andreas Kaiser, Philippe Cathelin

This paper presents a widely tunable digital delay element suitable for low-power low-frequency continuous-time digital signal processing systems. The design uses features of the 28 nm FD-SOI CMOS technology to precisely control currents in the pA range and significantly reduce leakage power. The…

IEEE Solid-State Circuits Letters, 2020, 3, pp.198-201. ⟨10.1109/LSSC.2020.3010877⟩. ⟨hal-03041576⟩

Communication dans un congrès

Short term reliability and robustness of ultra-thin barrier, 110 nrn-gate AlN/GaN HEMTs

Zhan Gao, Matteo Meneghini, Kathia Harrouche, Riad Kabouche, Francesca Chiocchetta, Etienne Okada, Fabiana Rampazzo, Carlo de Santi, F Medjdoub, Gaudenzio Meneghesso, Enrico Zanoni

Short-term reliability and robustness of 110 nm AlN/GaN HEMTs has been evaluated by means off-state, semi-on state and on-state step stress tests on devices having different gate-drain distance, LGD. While breakdown voltages and critical voltages scale almost linearly with LGD, failure mode remains…

2020 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA), Jul 2020, Singapour, Singapore. pp.1-6, ⟨10.1109/IPFA49335.2020.9260793⟩. ⟨hal-03043453⟩

Communication dans un congrès

Neuroattack: undermining spiking neural networks security through externally triggered bit-flips

Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Noman Shafique

Due to their proven efficiency, machine-learning systems are deployed in a wide range of complex real-life problems. More specifically, Spiking Neural Networks (SNNs) emerged as a promising solution to the accuracy, resource-utilization, and energy-efficiency challenges in machine-learning systems…

International Joint Conference on Neural Networks (IJCNN 2020), Jul 2020, Glasgow, United Kingdom. pp.1-8, ⟨10.1109/IJCNN48605.2020.9207351⟩. ⟨hal-03166289⟩