Publications

• Communication dans un congrès

Analyse incrémentale basée sur les résolutions alternées pour la modélisation d'endommagement et la rupture fragile par champ de phase

Thanh Hai Tuan Tran, Jamila Rahmoun, Hakim Naceur, Djimédo Kondo

Dans cette étude, nous proposons une technique numérique de champ de phase pour la modélisation de l’endommagement de structures. Cette approche incrémentale est basée sur une résolution alternée des variables cinématiques et d’endommagement à chaque pas. La condition d’irréversibilité d’…

15ème colloque national en calcul des structures, Université Polytechnique Hauts-de-France [UPHF], May 2022, Hyères-les-Palmiers, France. ⟨hal-03717576⟩

• Article dans une revue

Managing demand volatility of pharmaceutical products in times of disruption through news sentiment analysis

Angie Nguyen, Robert Pellerin, Samir Lamouri, Béranger Lekens

Unplanned events such as epidemic outbreaks, natural disasters, or major scandals are usually accompanied by supply chain disruption and highly volatile demand. Besides, authors have recently outlined the need for new applications of artificial intelligence to provide decision support in times of…

International Journal of Production Research, 2022, 61 (9), pp.2828 - 2839. ⟨10.1080/00207543.2022.2070044⟩. ⟨hal-04014785⟩

• Article dans une revue

Robust flight control for a quadrotor under external disturbances based on predefined-time terminal sliding mode manifold

Moussa Labbadi, Kamal Elyaalaoui, Mohamed Amine Dabachi, Soufian Lakrit, Mohamed Djemai, Mohamed Cherkaoui

This paper investigates the terminal sliding-mode control (TSMC) with predefined-time stability (PTS) for a disturbed quadrotor system (DQS). First, for both the rotational and translational subsystems of the DQS, a novel notion of predefined-time terminal sliding-mode manifold (PTTSMM) is created…

Journal of Vibration and Control, 2022, pp.107754632210740. ⟨10.1177/10775463221074098⟩. ⟨hal-03809808⟩

• Article dans une revue

HARPAGON: An energy management framework for attacks in IoT networks

Emilie Bout, Valeria Loscrì, Antoine Gallais

The Internet of Things (IoT) represents an eclectic paradigm that is still growing in popularity. However, security aspects are a major concern for IoT devices due to their applications and the amount of sensitive data they provide. Simultaneously, the energy constraint in IoT networks remains a…

IEEE Internet of Things Journal, In press, ⟨10.1109/jiot.2022.3172849⟩. ⟨hal-03658197⟩

• Article dans une revue

Toward a Reliable Estimation of Fluid Concentration using High Frequency Acoustic Waves: A Machine Learning Approach

Venu Babu Thati, Ibrahim Zaaroura, Malika Toubal, Nikolay Smagin, Souad Harmand, Julien Carlier, Ihsen Alouani

Using acoustic waves to estimate fluid concentration is a promising technology due to its practicality and non-intrusive aspect, especially for medical applications. The existing approaches are exclusively based on the correlation between the reflection coefficient and the concentration. However,…

IEEE Sensors Journal, 2022, 22, pp.8772 - 8780. ⟨10.1109/JSEN.2022.3161380⟩. ⟨hal-03621173⟩

• Article dans une revue

Robustness of specimen design criteria for identification of anisotropic mechanical behaviour from heterogeneous mechanical fields, Robustesse des critères de conception des éprouvettes pour l'identification de comportements anisotropes à partir de champs mécaniques hétérogènes

Jean-David Thoby, Thomas Fourest, Bertrand Langrand, Delphine Notta-Cuvier, Eric Markiewicz

To reduce the number of tests required to characterise anisotropic elastoplastic constitutive models, an approach is to design specimen geometries to diversify the stress states generated in a single test. The experiments are then processed using an inverse identification method based on full-field…, Pour réduire le nombre d'essais nécessaires à la caractérisation des modèles élasto-plastiques anisotropes, une approche consiste à concevoir des géométries d'éprouvettes permettant de diversifier les états de contrainte générés dans un seul essai. Les essais sont ensuite traités à l…

Computational Materials Science, 2022, 207, pp.111260. ⟨10.1016/j.commatsci.2022.111260⟩. ⟨hal-03636642⟩

• Communication dans un congrès

Nondestructive evaluation of composite and porous materials by 3D acoustical imaging

Wei-Jiang Xu, Franck Lauro, Lynda Chehami, Hervé Morvan, Rémi Delille

In this work, based on the use of high frequency (20MHz) focus ultrasonic transducer and echography, a high-resolution three-dimensional acoustical imaging technique has been developed, permitting 3D reconstruction of the internal structure of materials at mesoscopic level. The data acquisition is…

16ème Congrès Français d'Acoustique, CFA 2022, Apr 2022, Marseille, France. ⟨hal-03663793⟩

• Article dans une revue

Integral-type terminal sliding mode control approach for wind energy conversion system with uncertainties

Chakib Chatri, Mohammed Ouassaid, Moussa Labbadi, Youssef Errami

This paper investigates a robust controller for the wind energy conversion system (WECS) based on permanent magnet synchronous generator (PMSG) with parametric uncertainties. A robust nonlinear controller is developed for PMSG wind turbine (PMSG-WT) using integral-type terminal sliding mode control…

Computers and Electrical Engineering, 2022, 99, pp.107775. ⟨10.1016/j.compeleceng.2022.107775⟩. ⟨hal-03809812⟩

• Article dans une revue

Walking abilities improvements are associated with pelvis and trunk kinematic adaptations in transfemoral amputees after rehabilitation

S. Persine, S. Leteneur, C. Gillet, J. Bassement, F. Charlaté, E. Simoneau-Buessinger

Clinical Biomechanics, 2022, 94, pp.105619. ⟨10.1016/j.clinbiomech.2022.105619⟩. ⟨hal-05794073⟩

• Article dans une revue

Performances Modeling of Computer Vision-based CNN on Edge GPUs

Halima Bouzidi, Hamza Ouarnoughi, Smail Niar, Abdessamad Ait El Cadi

Convolutional Neural Networks (CNNs) are widely used in various fields nowadays, particularly for computer vision applications. Edge platforms have drawn tremendous attention from academia and industry due to their ability to improve execution time and preserve privacy. However, edge platforms…

ACM Transactions on Embedded Computing Systems (TECS), 2022, ⟨10.1145/3527169⟩. ⟨hal-03703108⟩