Publications
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A Conceptual Framework for MaturityEvaluation BIM-based AR/VR Systems
Maturity evaluation of BIM-based Augmented Reality (AR) and Virtual Reality (VR) systems is a challenging issue that requires ensuring their effectiveness and reliability. However, the lack of appropriate evaluation methods, tools, and standards for these systems makes this task even more complex. In this context, this paper proposes a conceptual framework for evaluating the maturity […]
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Towards the Development of a Digital Twin for Micro Learning Factory: A Proof of Concept
The Learning Factory concept has gained importance in recent years to improve manufacturing education and prepare students for the workforce. Digital Twin (DT) technology is considered as a crucial tool to enhance the Learning Factory experience. Due to the novelty of this topic, there is limited research on developing DTs specifically for this purpose. Currently, […]
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Investigation of Input Feature Combinations Considering Occupant Behavior for Modelling Indoor Air Temperature in a Classroom
This study investigated the performance of artificial neural networks and random forests with various combinations of input variables in modelling indoor air temperature in a classroom. The data collection methodology was designed to investigate key input parameters, including indoor air data, classroom occupancy, and occupant behavior factors such as windows, doors, blind operation, and occupant […]
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D-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on Transformer for Assessment of Patient Physical Rehabilitation
This paper tackles the challenge of automatically assessing physical rehabilitation exercises for patients who perform the exercises without clinician supervision. The objective is to provide a quality score to ensure correct performance and achieve desired results. To achieve this goal, a new graph-based model, the Dense Spatio-Temporal Graph Conv-GRU Network with Transformer, is introduced. This […]
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Fault Prediction in a Smart Building Lighting System
With the advances in many areas such as sensing technologies, new connectivity options and improved IoT architectures, predictive maintenance is considered as a promising solution for the maintenance of Smart Buildings (SBs). However, because of the lack of failure data for these systems, the approaches in the literature, which are mostly data-based approaches, are not […]
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Guaranteeing information integrity and access control in smart cities through blockchain
The distributed devices in a smart city are characterized by different degrees of sensitivity. Some of them can be accessed by everyone whereas others are limited to a specific class of users (subjects). Therefore, we created an access control system named (Subject-Object-Task System) supported by blockchains that sort processes applied by subjects on smart devices. […]
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Exploring human-machine collaboration in industry: a systematic literature review of digital twin and robotics interfaced with extended reality technologies
This systematic literature review presents the latest advancements and insights about digital twin technology and robotics interfaced with extended reality in the context of Industry 4.0. As the extended reality technologies emerge, it results in an increasing overlap between digital twins and human-robot interactions in industrial settings, promoting collaboration between operators and cobots in manufacturing […]
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Determinantes do Trabalho
Cuvelier, L., Nascimento, A., & Fourrièrre, J. (2023). Determinantes do Trabalho. In R. Rocha (Ed.), Dicionário de Ergonomia e Fatores Humanos.
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A SPARQL-based framework to preserve privacy of sensitive data on the semantic web
Over the last few years, the web of data has been evolved. Indeed, it allows sharing of a significant interconnection of a huge amount of data in several domains and it keeps increasing continuously. Due to the confidential nature of some data, sectors such as health, financial, and government, it have limited participation with fewer […]
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Réseau antagoniste génératif pour la fusion spatio-temporelle d’images satellitaires multi-spectrales
Résumé – Dans cet article, nous étudions la fusion spatio-temporelle d’une série temporelle d’images multi-spectrales avec une série temporelle d’images hyper-spectrales. Nous proposons pour cela une nouvelle approche fondée sur un réseau antagoniste génératif (GAN). Notre contribution principale réside dans le fait que le GAN prend en entrée des images satellitaires plutôt que du bruit. […]
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Solution de génération de formes 2D d’objets basée sur des connaissances préalables pour la cartographie sémantique
Dans ce travail, nous proposons une solution de cartographie sémantique en temps réel basée sur les données RGBD. Nous nous focalisons sur la proposition d’une approche d’association pour générer les formes 2D des objets sémantiques en utilisant des connaissances préalables. Notre approche est évaluée dans un environnements bureautique à l’aide du robot mobile MIR. Les […]
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Interoperable IoMT Approach for Remote Diagnosis with Privacy-Preservation Perspective in Edge Systems
The emergence of the Internet of Medical Things (IoMT) has brought together developers from the Industrial Internet of Things (IIoT) and healthcare providers to enable remote patient diagnosis and treatment using mobile-device-collected data. However, the utilization of traditional AI systems raises concerns about patient privacy. To address this issue, we present a privacy-enhanced approach for […]