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Institution

Altran

CompanyNeuilly-sur-Seine, France
About: Altran is a company organization based out in Neuilly-sur-Seine, France. It is known for research contribution in the topics: Software development & Formal verification. The organization has 488 authors who have published 512 publications receiving 6395 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors propose a modele d'impedance locale representatif de la micro-perforation pouvant and use it in un code of calcul vibro-acoustique.
Abstract: Les antennes paraboliques ultra legeres des satellites de telecommunication, sont fabriquees en materiaux composites a partir de coques multicouches tres minces obtenues par tissage. Pendant la premiere phase de vol du lanceur, lors de la traversee des premieres couches atmospheriques, les excitations vibro-acoustiques dues au systeme de propulsion et aux forces aerodynamiques sont les plus critiques. La charge acoustique de type aleatoire induite sur la structure de l'antenne, devient alors tres importante et peut provoquer des dommages aux structures et aux equipements. Pour reduire les charges acoustiques, les concepteurs utilisent des coques micro-perforees pour permettre a la structure de "respirer" et de reduire ainsi la charge acoustique. Le dimensionnement et l'optimisation de ces structures necessitent des outils de calcul numerique. La prise en compte de la perforation du materiau pour le calcul de la charge induite par l'excitation acoustique aleatoire n'est pas classique. L'objet de cette etude est de proposer un modele d'impedance locale representatif de la micro-perforation pouvant etre utilise dans un code de calcul vibro-acoustique.
Proceedings ArticleDOI
07 Jun 2021
TL;DR: The SDN layer is to develop a Machine Learning algorithm that allows the classification of IoTs according to the data, this algorithm allows the COBOX to find the object that will be interested in the data sent by other IoT, and finally integrate this algorithm in the SDN network.
Abstract: Internet of things (IoT) is a network of billions of objects connected through heterogeneous communication technologies such as Ethernet, WiFi, Bluetooth, Zig-Bee, etc. The diversity of communication technologies is a significant barrier preventing the management, the control and more specifically the interoperability using a unified interface. In this paper, the SDN layer, which aims at ensuring a universal management of the IoT heterogeneous network, is to develop a Machine Learning algorithm that allows the classification of IoTs according to the data, this algorithm allows the COBOX to find the object that will be interested in the data sent by other IoT, finally integrate this algorithm in the SDN network. The proposed solution enables the building of a middleware that supports interoperability between heterogeneous devices.
Proceedings ArticleDOI
Yaping Luo1, Egbert Touw1
27 May 2018
TL;DR: A multi-faceted software reliability approach is presented that can be applied in the automotive domain as it is and even be improved by exchanging some of the process assessment components by the parts from automotive reference models, such as A-SPICE.
Abstract: Software quality aspects and in particular software reliability is hard to measure. Current tools or techniques are not sufficient to support us to get insights in the software reliability risk in our customer's products. In this poster, we present a multi-faceted software reliability approach. Besides an industrial case study is also described with four assessment studies. The results of the case study have been well accepted by our customer and by the supplier of this customer. Moreover, our approach can be applied in the automotive domain as it is and even be improved by exchanging some of the process assessment components by the parts from automotive reference models, such as A-SPICE1.
Journal ArticleDOI
TL;DR: This publisher's note identifies a figure error in Appl.
Abstract: This publisher's note identifies a figure error in Appl. Opt.57, 5844 (2018)APOPAI0003-693510.1364/AO.57.005844.
Book ChapterDOI
01 Jan 2021
TL;DR: In this paper, the authors describe the ways in which the VNF can be secured as well as their approach to handle the virtual network function virtualization (VNF) in Telco environment.
Abstract: Over the years, Telecommunication service providers are moving towards Network Function Virtualisation (NFV) to greatly reduce and manage Capex and Opex costs. Moving towards virtualisation of services and coupled with software defined networking, service providers are preparing to deliver complex services in the evolving landscape of next generation mobile communications and digital transformation.Thus, moving towards the virtualisation has brought lot of benefits, however the security threat vectors also increases with virtualisation. By sharing common hardware and virtualisation layer additional security boundaries must be created. Defence-in-depth approach is always recommended and in virtualisation it is more relevant to have layers of security at hardware level, virtualisation level, network level and VNF level. This paper describes the ways in which the VNF can be secured as well as our approach to handle the VNF in Telco environment.

Authors

Showing all 489 results

NameH-indexPapersCitations
Khellil Sefiane522928195
Jose L. Salmeron30843207
Catherine Azzaro-Pantel281682401
Ivan Kurtev25534954
Jan Olaf Blech201311134
Jacopo Belfi20761045
Laura Rossi18421498
M. Klein-Wolt18301601
Hao Lu18731019
Xiaoye Han1761883
Ivan Miguel Pires16103789
Luis A. S. de A. Prado1317678
Patricia Zunino1124716
Jon Arrospide1119481
Roderick Chapman1118651
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20224
202140
202038
201939
201844