Publications
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Enhancing the Aggregation of the Federated Learning for the Industrial Cyber Physical Systems
Industrial Cyber-Physical Systems (ICPS) have gained considerable interest in the last decade from both industry and academia. Such systems have proven particularly complex and provide considerable challenges to master their design and ensure their functionalities. In this paper, we intend to tackle some of these challenges related to the performance and decision supports of ICPS […]
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Formal Modelling and Security Analysis of Inter-Operable Systems
Emerging technologies utilised in building modern systems make them inter-operable but potentially exposed to security threats. Thus, engineers need to consider the system structure and behaviour at the design level. This paper addresses the security risk assessment of inter-operable IoT systems designed in BIP (Behaviour–Interaction–Priority). For this purpose, we model different attacks scenarios from Microsoft […]
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Integrating preferences within multiobjective flexible job shop scheduling
When faced with a multiobjective optimization problem, it is necessary to consider the decision-maker preferences in order to propose the best compromise solution. We consider the multiobjective flexible job shop scheduling problem and a decision-maker that is best represented using a non-compensatory ref- erence level-based preference model. We show how integrating this model into a […]
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Business Model Innovation as resilience factor to face Covid-19 crisis
The COVID-19 pandemic causes SMEs to reinvent themselves, in part or in whole to survive, the concept of organizational resilience (OR) seems to be increasingly popular in response to this challenge(Thukral, 2021). Also, Business Model Innovation (BMI) is an important response mechanism in turbulent environments. Although previous research recognizes a link between BMI and OR, […]
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How could SMEs take advantage of the Covid-19 crisis to improve their resilience during energy transition?
Energy plays a major role in the economic development of any economy. It is no longer necessary to demonstrate that an energy crisis affects directly and indirectly all areas of the economic system (Jancovici, 2012) but also the environmental and societal sphere. Renewable energy is becoming one of the key factors for a sustainable society […]
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From Process Modelling to Planning Simulation Undr Uncertainty in Crisis Rescue Management
Based on the dramatic experiences that have faced France and Lebanon such as the Beirut explosion in 2020 and Paris attack in 2015, the response phase challenges are related to information, communication, resources and coordination. The operational management of crisis situations requires the mobilization and rapid coordination of the various emergency services. Unfortunately, this interdepartmental […]
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SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving
Surround-view cameras are a primary sensor for automated driving, used for near-field perception. It is one of the most commonly used sensors in commercial vehicles primarily used for parking visualization and automated parking. Four fisheye cameras with a 190° field of view cover the 360° around the vehicle. Due to its high radial distortion, the […]
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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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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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Relation between durability and mechanical properties on glass fiber reinforced slag-based geopolymer
This work seeks to improve the understanding of the durability of pure slag-based geopolymer composites containing glass fibers. Degradation by attack of saline mist, simulated by the salt-spray essay, was carried out for a period of 30 days. The test simulates the conditions found in the sea and nearby environments. The chamber works at relative […]
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Éléments d’état de l’art sur la cartographie sémantique et son applicabilité en environnement industriel
La sécurité dans la collaboration homme-robot est l’un des principaux défis de l’industrie 5.0. Les robots doivent à présent s’adapter à l’humain. Ils évaluent et améliorent le système de navigation sur la base de technologies de cartographie sémantique qui permet de conduire un raisonnement clair. Ces cartes permettent aux robots de comprendre l’environnement qui les […]
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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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