Publicaciones

Affichage de 711 à 720 sur 5527

ART

Efficient flow models for the uncapacitated multiple allocation p-hub median problem on non-triangular networks

Jack Brimberg, Raca Todosijević, Dragan Urošević, Nenad Mladenovic

This paper examines the uncapacitated multiple allocation p-hub median problem (UMApHMP) in a general setting where a given network may violate the triangle inequality, thus leading to flow paths with more than two hubs connecting origin-to-destination pairs. We present two improved flow...

Computers & Industrial Engineering, 2021, 162, pp.107723. ⟨10.1016/j.cie.2021.107723⟩. ⟨hal-03528030⟩

ART

Multi-label, multi-task CNN approach for context-based emotion recognition

Ilyes Bendjoudi, Frédéric Vanderhaegen, Denis Hamad, Fadi Dornaika

This paper proposes a new deep learning architecture for context-based multi-label multi-task emotion recognition. The architecture is built from three main modules: (1) a body features extraction module, which is a pre-trained Xception network, (2) a scene features extraction module, based on a...

Information Fusion, 2021, 76, pp.422-428. ⟨10.1016/j.inffus.2020.11.007⟩. ⟨hal-03106102⟩

ART

A distributed fault detection scheme in disturbed heterogeneous networked systems

Anass Taoufik, Michael Defoort, Mohamed Djemai, Krishna Busawon

Abstract This paper deals with the problem of distributed fault detection and isolation in multi-agent systems with disturbed high-order dynamics subject to communication uncertainties and faults. Distributed finite-frequency mixed $${\mathcal {H}}_-$$ H - $$/{\mathcal {H}}_\infty $$ / H ∞ unknown...

Nonlinear Dynamics, 2021, 24 (5), pp.2074-2088. ⟨10.1007/s11071-021-07129-0⟩. ⟨hal-04217711⟩

ART

Optimization of use-wear detection and characterization on stone tool surfaces

Antony Borel, Raphaël Deltombe, Philippe Moreau, Thomas Ingicco, Maxence Bigerelle, Julie Marteau

Debates and doubt around the interpretation of use-wear on stone tools called for the development of quantitative analysis of surfaces to complement the qualitative description of traces. Recently, a growing number of studies showed that prehistoric activities can be discriminated thanks to...

Scientific Reports, 2021, 11 (1), ⟨10.1038/s41598-021-03663-4⟩. ⟨hal-03510891⟩

ART

Integrating fibers and injection molding process variability in short-natural-fiber-reinforced thermoplastics behavior: A review

Julien Proy, Franck Massa, Delphine Notta-Cuvier, Franck Lauro, Thierry Tison, Grégory Spingler

Injection-molded short-fiber-reinforced thermoplastics are widely used in today’s industry. Nevertheless, their mechanical behavior is difficult to model, especially because of strong anisotropy induced by complex fiber distributions of orientation. Moreover, the intrinsic variability of plant...

Materials Today Communications, 2021, 29, pp.102785. ⟨10.1016/j.mtcomm.2021.102785⟩. ⟨hal-03442842⟩

COMM

Towards a non monotonic agent testing, reasoning about messages and behavior

Djamel Douha, Aicha Mokhtari, Zahia Guessoum, René Mandiau

Multi-agent systems research community has developed solutions to model dynamic and complex systems. Those solutions have generated a growing interest in a variety of domains such as robotics or distributed controls. It is therefore important to build solutions to analyze the basic mechanisms of...

ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), Nov 2021, Tangier, Morocco. ⟨10.1109/AICCSA53542.2021.9686931⟩. ⟨hal-03381954⟩

ART

Takagi–Sugeno fuzzy observer design for nonlinear descriptor systems with unmeasured premise variables and unknown inputs

Tran Anh-Tu Nguyen, Victor Campos, Thierry-Marie Guerra, Juntao Pan, Wenbo Xie

This article presents a new observer design framework for a class of nonlinear descriptor systems with unknown but bounded inputs. In the presence of unmeasured nonlinearities, that is, premise variables, designing nonlinear observers is known as particularly challenging. To solve this problem, we...

International Journal of Robust and Nonlinear Control, 2021, 31 (17), pp.8353-8372. ⟨10.1002/rnc.5453⟩. ⟨hal-03426277⟩

ART

Catalog of invisibility correlations for UbiComp and IoT applications

Rainara Maia Carvalho, Rossana Maria de Castro Andrade, Káthia Marçal de Oliveira

The advance of Ubiquitous Computing (UbiComp) and Internet of Things (IoT) brought a new set of Non-Functional Requirements (NFRs), especially related to Human-Computer Interaction (HCI). Invisibility is one of these NFRs and refers to either the merging of technology in the user environment or the...

Requirements Engineering, 2021, ⟨10.1007/s00766-021-00364-2⟩. ⟨hal-03528078⟩

THESE

An Evidence-Based Roadmap to Support the Internet of Things Software Systems Engineering, Une Feuille de Route Basee sur des Evidences pour Soutenir L'ingenierie de Logiciels pour L'internet Des Objets, Um guia baseado em evidência para apoiar a engenharia de sistemas de software de internet das coisas

Rebeca Campos Motta

The Internet of Things (IoT) paradigm brings many expectations, challenges, and a multidisciplinarity of technical knowledge. It involves several knowledge areas or facets that should be combined precisely and coherently to develop more autonomous and smarter software systems. In this work, 117..., Dans cette thèse, nous avons présenté la conceptualisation, le développement et l'évaluation d'un artefact fondé sur des preuves nommé IoT Roadmap pour prendre en charge la spécification, la conception et la mise en oeuvre de systèmes logiciels IoT. La feuille de route IoT a été organisée..., O paradigma da Internet das Coisas (IoT) traz muitas expectativas, desafios e uma multidisciplinaridade do conhecimento técnico. Envolve várias áreas ou facetas do conhecimento que devem ser combinadas de forma precisa e coerente paradesenvolver sistemas de software mais autônomos e inteligentes....

Software Engineering [cs.SE]. Université Polytechnique Hauts-de-France; Universidade federal do Rio de Janeiro, 2021. English. ⟨NNT : 2021UPHF0042⟩. ⟨tel-03482305⟩

ART

Simulating multi-agent-based computation offloading for autonomous cars

Hamza Ouarnoughi, Emmanuelle Grislin-Le Strugeon, Smail Niar

Efficient task processing and data storage are still among the most important challenges in Autonomous Driving (AD). In-board processing units struggle to deal with the workload of AD tasks, especially for Artificial Intelligence (AI) based applications. Cloud and Fog computing represent good...

Cluster Computing, 2021, 25, pp.2755-2766 (2022). ⟨10.1007/s10586-021-03440-y⟩. ⟨hal-03528052⟩