Paper
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Additive Manufacturing Awareness For Engineering Education in France
Additive manufacturing (AM) is one of the pillars of the Industry 4.0. Compared to traditional manufacturing, AM is a layer-by-layer construction; it provides a prototype before producing in order to optimize the design and avoid the stock market and uses strictly necessary material, which can be recyclable, at the benefit of leaning towards local production, […]
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Le SI dans la fonction juridique : exploration des pratiques d’alignement stratégique
Cette recherche se propose d’examiner la question de l’adoption du SI et des outils IT dans le contexte juridique, en particulier dans le cas de la Direction Juridique innovante (DJI). Il s’agit d’étudier le déploiement de ces outils ainsi que les pratiques favorisant leur alignement stratégique au sein de la DJI. Cette recherche s’appuie sur […]
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Scheduling Periodic Messages on a Shared Link without Buffering
Cloud-RAN, a novel architecture for modern mobile networks, relocates processing units from antenna to distant data centers. This shift introduces the challenge of ensuring low latency for the periodic messages exchanged between antennas and their respective processing units. In this study, we tackle the problem of devising an efficient periodic message assignment scheme under the […]
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Multi-Agent Cooperative Camera-Based Semantic Grid Generation
The idea of cooperative perception for navigation assistance was introduced about a decade ago with the aim to increase safety on dangerous areas like intersections. In this context, roadside infrastructure appeared very recently to provide a new point of view of the scene. In this paper, we propose to combine the Vehicle-To-Vehicle (V2V) and Vehicle-To-Infrastructure […]
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Introducing the 3MT_French dataset to investigate the timing of public speaking judgements
In most public speaking datasets, judgements are given after watching the entire performance, or on thin slices randomly selected from the presentations, without focusing on the temporal location of these slices. This does not allow to investigate how people’s judgements develop over time during presentations. This contrasts with primacy and recency theories, which suggest that […]
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Aging properties of a vegetable-based polyurethane foam under high relative humidity and different temperatures
The objective of this study is to assess, characterize, and forecast the aging effects on the mechanical properties of a vegetable-based polyurethane foam (PUF) derived from castor oil under elevated relative humidity conditions and at two distinct load orientations (aligned with the expansion direction and perpendicular to it). Ten specimens were subjected to temperatures of […]
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DATA-DRIVEN PREDICTIVE ANALYSIS FOR CUTTING MACHINE FAILURES: A TECHNICAL REPORT ON RELIABILITY OPTIMIZATION
The prevention of recurring failures in modern manufacturing systems is of paramount importance for minimizing costs and downtime. Despite the potential for real-time data analysis using sensors offered by Industry 4.0 technologies, their widespread adoption, particularly among smaller manufacturing systems, remains a challenge. In response, this paper introduces an alternative approach to predictive maintenance planning, […]
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Raw dataset of compression tests on a vegetable oil-based polyurethane foam exposed to different ageing conditions
The current dataset brings raw compression test information of a vegetable-based polyurethane foam (PUF) exposed to different temperatures over different periods of time. Such experimental dataset can provide researchers with important information in the application of numerical and data-driven simulations. Also, it saves money and time once the experimental part is already available. At total, […]
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A Systematic Review of Predictive Maintenance and Production Scheduling Methodologies with PRISMA Approach
Predictive maintenance has been considered fundamental in industrial applications over the last few years. It contributes to improving reliability, availability, and maintainability of the systems and decreasing production efficiency in manufacturing plants. This article aims to explore the integration of predictive maintenance into production scheduling through a systematic review of literature. The review includes 165 […]
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EEG-based Schizophrenia Classification using Penalized Sequential Dictionary Learning in the Context of Mobile Healthcare
Mobile healthcare is an appealing approach based on the Internet of Medical Things (IoMT) and cloud computing. It can lead to unobstructed, economical, and patient-centric healthcare solutions. The key performance indicators of such systems are dimensionality reduction, computational effective- ness, low latency, and accuracy. In this context, a novel approach is devised for EEG-based schizophrenia, […]
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Resource-Constrained EXtended Reality Operated With Digital Twin in Industrial Internet of Things
EXtended Reality (XR) alongside the Digital Twin (DT) in Industrial Internet of Things (IIoT) emerges as a promising next-generation technology. Its diverse applications hod the potential to revolutionize multiple facets of Industry 4.0 and serve as a cornerstone for the rise of Industry 5.0. However, current systems are still not effective in providing a high-quality […]
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Classification of whispering gallery modes for cladded systems
A classification of whispering gallery modes has been proposed between three types : core modes, cladding modes and composed modes. While core modes or cladding modes are interesting to generate with a sensor purpose, composed modes propagate in both core and coating and therefore should be avoided. In this paper, a theoretical and numerical study […]
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