Publications
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La dimension humaine de la transition écologique
Bien que le sujet écologique occupe une place inédite et importante dans le débat public aujourd’hui, les politiques des états et les stratégies des grands groupes semblent parfois en décalage avec la hauteur de l’enjeu. Si les universitaires ont eu un rôle central dans l’évaluation de la situation, au travers des rapports du GIEC en […]
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Pocheco, une PME engagée dans la transition écologique
Pocheco est une petite fabrique d’enveloppes du Nord de la France que rien ne prédestinait à être pionnière dans la transformation écologique de l’industrie. Aujourd’hui, son efficacité écologique est exemplaire : autosuffisance en eau industrielle, autosuffisance en énergie renouvelable, approvisionnements non destructeurs de l’environnement, déchets triés et valorisés à 100%, perméabilité de 85% de la […]
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A new framework to solve flexible jobshop scheduling problems in the context of Industry 5.0
Human intervention is reduced in Industry 4.0 through automation of the manufacturing process. Today, Industry 5.0 puts human beings at the center of the industry, using their creativity and expertise in collaboration with powerful, intelligent and precise machines with two goals: to bring back a human touch in the industry and to have more personalized […]
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Un problème de planification de désassemblage sous incertitude de rendement
La planification de désassemblage se préoccupe du nombre de chaque type de produit retourné à démonter afin de répondre à une demande en pièces. Cependant, ce problème semble être compliqué à cause de plusieurs facteurs. Tout d’abord, la structure ou la nomenclature du produit en fin de vie (PFV) ne facilite pas la modélisation puisque […]
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Savoirs tacites et apprentissages informels
Les différentes formes de savoirs et d’apprentissage, le cas des apprentissage tacites et informels
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Machine Learning Identifies Chronic Low Back Pain Patients from an Instrumented Trunk Bending and Return Test
Nowadays, the better assessment of low back pain (LBP) is an important challenge, as it is the leading musculoskeletal condition worldwide in terms of years of disability. The objective of this study was to evaluate the relevance of various machine learning (ML) algorithms and Sample Entropy (SampEn), which assesses the complexity of motion variability in […]
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Hygrothermal performance of multilayer straw walls in different climates
Straw is becoming a promising alternative insulation material to improve the building energy performance because of its low cost, large availability as cereal waste, its good hygrothermal properties, and its low embodied energy. The goal of this paper is to assess the hygrothermal performance of multi-layered straw walls with different boundary conditions. The study consists […]
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Une approche basée sur l’agrégation des scénarios pour résoudre un problème de planification de désassemblage sous incertitude des délais de remise à neuf
De nos jours, la recherche sur les procédés de désassemblage suscite un intérêt croissant. L’objectif principal est d’obtenir des composants de valeur et de séparer ceux qui peuvent affecter l’environnement [1]. Cependant, le processus de désassemblage est devenu très vulnérable et loin d’être déterministe. En effet, il implique un degré élevé de variabilité associé au […]
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Building Thermal-Network Models: A Comparative Analysis, Recommendations, and Perspectives
The development of smart buildings, as well as the great need for energy demand reduction, has renewed interest in building energy demand prediction. Intelligent controllers are a solution for optimizing building energy consumption while maintaining indoor comfort. The controller efficiency on the other hand, is mainly determined by the prediction of thermal behavior from building […]
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Analyzing Short and Long run Causality Relationship among Public Spending, Renewable Energy Consumption, Non-renewable Energy Consumption and Economic Growth: Evidence from Eight of South Mediterranean Countries (SMCs)
This study aims to analyse the causal link in the short-run and long-run between economic growth, renewable energy, non-renewable energy and public spending in eight countries of the South Mediterranean Countries group during the 1980–2020 periods. Four steps are used: augmented Dickey-Fuller and Phillip Perron unit root tests to check the order of stationarity of […]
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Distributed reinforcement learning for the management of a smart grid interconnecting independent prosumers
In the context of an eco-responsible production and distribution of electrical energy at 2 the local scale of an urban territory, we consider a smart grid as a system interconnecting different 3 prosumers which all retain their decision-making autonomy and defend their own interests in a 4 comprehensive system which rules, accepted by all, encourage […]
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SPD Siamese Neural Network for skeleton-based hand gesture recognition
This article proposes a new learning method for hand gesture recognition from 3D hand skeleton sequences. We introduce a new deep learning method based on a Siamese network of Symmetric Positive Definite (SPD) matrices. We also propose to use the Contrastive Loss to improve the discriminative power of the network. Experimental results are conducted on […]
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