Publicaciones

• Pré-publication, Document de travail

Modeling Resilient Ethics, Modéliser l’éthique résiliente

Bako Rajaonah, Enrico Zio

Moral priorities may change in extreme situations such as disasters, and stakeholders may find it difficult to select the most acceptable actions. We propose a social-ecological model of resilient ethics that can provide the best acceptable guideline for action under the most appropriate ethical..., Les priorités morales peuvent changer dans des situations extrêmes telles que les catastrophes, et les décideurs peuvent avoir des difficultés à déterminer les actions les plus acceptables. Nous proposons un modèle social-écologique d'éthique résiliente qui peut aider à sélectionner la...

2024. ⟨hal-04703643⟩

• Communication dans un congrès

Gray Wolf Optimization Algorithm for Fuzzy Logic Driver Behavior Model

Daniel Dcl Cisneros Lombera, Hossam Eddine Glida, Chouki Sentouh, Boussaad Soualmi, Jean-Christophe Popieul

In this study, we propose a fuzzy decision system for human involvement in a driver-vehicle-environment system, capturing takeover scenarios by different drivers. The driver’s behavior is influenced by environmental factors. Expert opinions, gathered through questionnaires, contribute to defining...

Driving Simulation Conference (DSC), Sep 2024, Strasbourg, France. ⟨hal-04731558⟩

• Communication dans un congrès

Accelerated NAS via pretrained ensembles and multi-fidelity Bayesian Optimization

Houssem Ouertatani, Cristian Maxim, Smail Niar, El-Ghazali Talbi

Bayesian optimization (BO) is a black-box search method particularly valued for its sample efficiency. It is especially effective when evaluations are very costly, such as in hyperparameter optimization or Neural Architecture Search (NAS). In this work, we design a fast NAS method based on BO....

33rd International Conference on Artificial Neural Networks (ICANN), Sep 2024, Lugano, Switzerland. ⟨10.1007/978-3-031-72332-2_17⟩. ⟨hal-04611343⟩

• Communication dans un congrès

Numerical simulation and analysis of a swirling flow in industrial cyclone separator using a hybrid turbulence model

Mustafa Ishak Benzaza, David Uystepruyst, François Beaubert, Damien Méresse, François Delcourt, Céline Morin

International Conference of Numerical Analysis and Applied Mathematics, Sep 2024, Crete, Greece. ⟨hal-05651452⟩

• Article dans une revue

Fixed-Time Fault-Tolerant Adaptive Neural Network Control for a Twin-Rotor UAV System with Sensor Faults and Disturbances

Aymene Bacha, Abdelghani Chelihi, Hossam Eddine Glida, Chouki Sentouh

This paper presents a fixed-time fault-tolerant adaptive neural network control scheme for the Twin-Rotor Multi-Input Multi-Output System (TRMS), which is challenging due to its complex, unstable dynamics and helicopter-like behavior with two degrees of freedom (DOFs). The control objective is to...

Drones, 2024, 8 (9), pp.467. ⟨10.3390/drones8090467⟩. ⟨hal-05074853⟩

• Article dans une revue

Advancing sustainable construction: Terracotta component development through extrusion-based 3d printing with local clay

Mohamed El Aabbas, Mustapha Mahdaoui, Mohammed Ahachad, Brahim Mazian, Issam Aalil, Mustapha Ouardouz

This study examines the use of 3D printing technology in construction, specifically the use of local clay as the primary material for developing Terracotta components. The results demonstrate the feasibility and high print quality achievable with clay, establishing it as a viable material for 3D...

Construction and Building Materials, 2024, 442, pp.137549. ⟨10.1016/j.conbuildmat.2024.137549⟩. ⟨hal-05380035⟩

• Thèse

Wear of hot forging tools : towards an objective optimization of the durability., Usure des outils de forgeage à chaud : vers une optimisation objective de la durée de vie

Nasrine Boualem

During the hot forging process, tools are subjected to severe cyclic mechanical and thermal loads. These extreme forming conditions can damage the tools through the development of abrasive wear, cracking, and thermal and mechanical fatigue. These damages compromise the mechanical strength of the..., Durant le processus de forgeage à chaud, les outils sont soumis à des chargements mécaniques et thermiques cycliques sévères. Ces conditions de formage extrêmes peuvent endommager les outils par le développement d'usure abrasive, de fissuration, de fatigue thermique et mécanique. Ces dommages...

Mechanics [physics.med-ph]. Université Polytechnique Hauts-de-France, 2024. English. ⟨NNT : 2024UPHF0026⟩. ⟨tel-04779884⟩

• Article dans une revue

Boundedness and local stability of oscillation in a class of piecewise affine systems

Xinyong Wang, Laurentiu Hetel, Jimmy Lauber, Ying Tang

This paper investigates self-oscillation behaviors occurring in a class of piecewise affine (PWA) systems. We address a particular case of PWA systems with two subsystems and a linear switching surface. Conditions are given for characterizing forward invariant sets containing self-oscillating...

Automatica, 2024, 167, pp.111745. ⟨10.1016/j.automatica.2024.111745⟩. ⟨hal-04780020⟩

• Article dans une revue

Underbody flow control for base drag reduction of a real car model

Laurent Keirsbulck, Olivier Cadot, Marc Lippert, David Boussemart, Jérémy Basley, Sébastien Delprat, Sébastien Paganelli

A 1:5 scale realistic car model of the original Twingo GT but presenting a flat underbody and no exhaust line is tested in a wind tunnel at Reynolds numbers Re = 2.15 × 10^5 to 4.3 × 10^5. A range of underbody flow characteristic velocities Ub = [0.5 − 0.72]U∞ (U∞ the free-stream velocity) is...

Journal of Wind Engineering and Industrial Aerodynamics, 2024, 252, pp.105822. ⟨10.1016/j.jweia.2024.105822⟩. ⟨hal-04819727⟩

• Article dans une revue

Deep reinforcement learning with predictive auxiliary task for autonomous train collision avoidance

Antoine Plissonneau, Luca Jourdan, Damien Trentesaux, Lotfi Abdi, Mohamed Sallak, Abdelghani Bekrar, Benjamin Quost, Walter Schön

The contribution of this paper consists of a deep reinforcement learning (DRL) based method for autonomous train collision avoidance. While DRL applied to autonomous vehicles’ collision avoidance has shown interesting results compared to traditional methods, train-like vehicles are not currently...

Journal of Rail Transport Planning & Management, 2024, 31, pp.100453. ⟨10.1016/j.jrtpm.2024.100453⟩. ⟨hal-04607863⟩