Architecture matérielle pour implantation de réseaux de neurones en temps réel

National audienc

Fivefold differential cross sections for electron-induced double ionization of outer and inner valence (1 t 2 and 2 a 1 ) molecular orbitals of CH 4

We report in this work theoretical differential cross sections for the double ionization of oriented methane molecular subshells, namely, the 1t2 and 2a1 levels, impacted by 1 keV electrons. The present calculations are provided within the first Born approximation with a target molecule described by means of a single-center wave function. A strong dependence of the fivefold differential cross sections versus the target orientation is observed in particular when the double ionization process is studied orbital by orbital. In all the kinematical conditions considered, we point out the signature of the well-known mechanisms involved in double ionization collisions.Fil: Aitelhadjali, Z.. Faculté de Physique; ArgeliaFil: Kessal, S.. Faculté de Physique; ArgeliaFil: Quinto, Michele Arcangelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universite de Bordeaux; FranciaFil: Oubaziz, D.. Université Mouloud Mammeri de Tizi-Ouzou; ArgeliaFil: Champion, C.. Universite de Bordeaux; Franci

Implementation on FPGA and Evaluation Of a Prosody Modification of Speech for Impaired Persons using DWT-OLA

ABSTRACT: In this paper, we describe the design of a platform on Field Programmable Gate Array (FPGA) for a Prosody Modification of Speech (PMS). As it is not possible to reproduce the hearing capacities to the deficient ear, the speech signal can be shaped on the temporal or spectral domain to preserve the relevant information which could be inaccessible for the auditing system of the hearing-impaired person. So, in designing such platform, we aim to analyze the functioning of the cochlea and to perform efficient processing for improving intelligibility by shifting the frequency components of certain defective bands to different healthy ones. The design combines both Discrete Wavelet Transform (DWT) and Over-Lap and Add (OLA) technique and permits to analyze the input data at different segmental length in order to detect and manipulate the pitches. The DWT-OLA gives efficient real time results as compared to classical designs. We conducted experiments on speech data base get from Arctic corpus and used Mean Opinion Score (MOS) tests to subjectively evaluate the speech intelligibility. We obtained a gain improvement of speech intelligibility reaching 70%. Moreover, the proposed FPGA platform involves significantly fewer resources, reduced memory-size and less dynamic power consumption as compared to some previous wavelet-based implementations.

An Adaptive Temporal-Causal Network Model for Stress Extinction Using Fluoxetine

Part 4: Biomedical AIInternational audienceIn this paper, an adaptive temporal causal network model based on drug therapy named fluoxetine to decrease the stress level of post-traumatic stress disorder is presented. The stress extinction is activated by a cognitive drug therapy (here fluoxetine) that uses continuous usage of medicine. The aim of this therapy is to reduce the connectivity between some components inside the brain which are responsible for causing stress. This computational model aspires to realistically demonstrate the activation of different portions of brain when the therapy is applied. The cognitive model starts with a situation of strong and continuous stress in an individual and after using fluoxetine the stress level begins to decrease over time. As a result, the patient will have a reduced stress level compared to not using drug

Enhancing Reconfigurable Platforms Programmability for Synchronous Data-Flow Applications

International audienceRecent FPGAs allow the design of efficient and complex Heterogeneous Systems-on-Chip (HSoC). Namely, these systems are composed of several processors, hardware accelerators as well as communication media between all these components. Performances provided by HSoCs make them really interesting for data-flow applications, especially image processing applications. The use of this kind of architecture provides good performances but the drawback is an increase of the programming complexity. This complexity is due to the heterogeneous deployment of the application on the platform. Some functions are implemented in software to run on a processor, whereas other functions are implemented in hardware to run in a reconfigurable partition of the FPGA. This article aims to define a programming model based on the Synchronous Data-Flow model, in order to abstract the heterogeneity of the implementation and to leverage the communication issue between software and hardware actors