Výsledky vyhledávání - "Alexandre Quenon"

Akademický článek

A Novel Automate Python Edge-to-Edge: From Automated Generation on Cloud to User Application Deployment on Edge of Deep Neural Networks for Low Power IoT Systems FPGA-Based Acceleration

Autor: Tarek Belabed, Vitor Ramos Gomes da Silva, Alexandre Quenon, Carlos Valderamma, Chokri Souani

Publikováno v: Sensors, Vol 21, Iss 18, p 6050 (2021)

Deep Neural Networks (DNNs) deployment for IoT Edge applications requires strong skills in hardware and software. In this paper, a novel design framework fully automated for Edge applications is proposed to perform such a deployment on System-on-Chip

Externí odkaz: https://doaj.org/article/9b2b807f2bba4f999c6fcedc5a002ef8

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An Experimental Setup Based on a Printable System for the Acquisition of the Real-Time Electrical Response of Irradiated Semiconductor Devices

Autor: Alexandre Quenon, Anthonin Demarbaix, Evelyne Daubie, Veronique Moeyaert, Fortunato Carlos Dualibe

Publikováno v: IEEE Transactions on Instrumentation and Measurement. 72:1-8

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c7d218a32ade5a8bff7142ed1b4ec8b
https://doi.org/10.1109/tim.2022.3228260

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Full Python Interface Control: Auto Generation And Adaptation of Deep Neural Networks For Edge Computing and IoT Applications FPGA-Based Acceleration

Autor: Tarek Belabed, Carlos Alberto Valderrama Sakuyama, Vitor R. G. Silva, Alexandre Quenon, Chokri Souani

Publikováno v: INISTA

FPGAs are gaining popularity as the target of choice for the efficient implementation of Deep Neural Networks (DNNs) approaches. Modern SoCs with integrated FPGAs have low-power on-chip processors and sufficient interfaces to accommodate the most com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::643616355f08d379eb8239c029cf936b
https://doi.org/10.1109/inista52262.2021.9548521

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On the Possibility to Use Energy Harvesting on Beta Radiation in Nuclear Environments

Autor: Alexandre Quenon, E. Daubie, Veronique Moeyaert, Fortunato Dualibe

Publikováno v: LASCAS

This paper presents experimental results showing that the energy contained in beta radiation can be harvested by using diodes. A single BPW34 photodiode generates around 12 pA dc, so enough to power integrated analog blocks.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7bd4a763a1992773eae8684b47ae43bd
https://doi.org/10.1109/lascas51355.2021.9459184

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Design of an ULP-ULV RF-Powered CMOS Front-End for Low-Rate Autonomous Sensors

Autor: Alexandre Quenon, Grigory Popov, Fortunato Dualibe, Hugo Garcia-Vazquez

Publikováno v: Wireless Power Transmission for Sustainable Electronics

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4624e86521a97e2bf9e977324e047cc6
https://doi.org/10.1002/9781119578598.ch11

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Design of a Low-Voltage EEG Detector Based on a Chopping Amplifier in CMOS 65-nm

Autor: Nathan Seutin, Alexandre Quenon, Fortunato Dualibe, Hugo Garcia-Vazquez

Publikováno v: ICECS

This paper presents a design of an Electroencephalography (EEG) detector circuit powered by 1.2V using a CMOS 65-nm process. The circuit comprises two main blocks: a chopping amplifier and a bandpass filter bank. The latter was implemented using Gm-C

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a7c092d35f9141bb9ac43fceb08443ba
https://doi.org/10.1109/icecs.2018.8617913

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