Publicaciones

• Article dans une revue

Combining real data and expert knowledge to build a Bayesian Network — Application to assess multiple risk factors for fall among elderly people

Gulshan Sihag, Véronique Delcroix, Emmanuelle Grislin-Le Strugeon, Xavier Siebert, Sylvain Piechowiak, François Puisieux

Building a prediction model based on both real data and expert knowledge can be challenging. We experienced this difficulty in our context of predicting fall risk factors in the elderly, where two sources of data were available: hand-reported information from medical consultations and expert...

Expert Systems with Applications, 2024, 252, pp.124106. ⟨10.1016/j.eswa.2024.124106⟩. ⟨hal-04649596⟩

• Article dans une revue

Stress-based topological shape optimization for thick shells using the level set method and trimmed non-conforming multi-patch isogeometric analysis

Fernando Hübner Scherer, Malek Zarroug, Hakim Naceur, Andrei Constantinescu

This paper introduces a novel method for optimal shape design of thick shells. We consider shells based on the Reissner-Mindlin theory, with the assumption of linear elastic material behavior. The goal is to find the optimal material distribution within the shell's mid-surface. This is...

Structural and Multidisciplinary Optimization, 2024, 67 (10), pp.177. ⟨10.1007/s00158-024-03892-x⟩. ⟨hal-04758595⟩

• Article dans une revue

Topology optimization of curved thick shells using level set method and non-conforming multi-patch isogeometric analysis

Fernando Hübner Scherer, Malek Zarroug, Hakim Naceur, Andrei Constantinescu

We present a novel framework for topological shape optimization of curved non-conforming multi-patch and trimmed thick-shells subjected to external loads. Our method integrates the level set method (LSM) with a diffuse interface, a Hadamard shape derivative, and multi- patch isogeometric analysis (...

Computer Methods in Applied Mechanics and Engineering, 2024, 430, pp.117205. ⟨10.1016/j.cma.2024.117205⟩. ⟨hal-04758603⟩

• Article dans une revue

Controllability of heterogeneous multi-agent systems via cooperative output regulation

Jun Jiang, Yiwen Chen, Othman Lakhal, Rochdi Merzouki

Journal of The Franklin Institute, 2024, 361 (15), pp.107133. ⟨10.1016/j.jfranklin.2024.107133⟩. ⟨hal-04687211⟩

• Article dans une revue

A Deep Learning Based System For a Long-term Elderly Behavioral Drift Detection

Dorsaf Zekri, Ahmed Snoun, Thierry Delot, Marie Thilliez

<div><p>The detection of behavioral drifts by applications monitoring daily living activities, is very relevant in health care monitoring systems particularly for older persons. The detection of behavioral drifts can be crucial, as it may indicate the early stages of a disease. Our...

SN Computer Science, 2024, 5 (7), pp.910. ⟨10.1007/s42979-024-03207-3⟩. ⟨hal-05351049⟩

• 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⟩

• 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⟩