Publications
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Personalisation in Mobility-as-a-Service: Where We Are and How to Move Forward
Within urban mobility ecosystem, Mobility-as-a-Service (MaaS) has come up as a promising approach to promote sustainable modes of transport and increase the attractiveness of public and shared multimodal mobility. It aims to become a viable alternative to personal cars for door-to-door trips. The long-term objective of MaaS is to change the people’s travel behaviour by […]
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Summer dataset of an operating education modular building
We propose a dataset concerning a modular education building (NR3) located on CESI Engineering School of Nanterre (Approximate GPS coordinates: 48.9033,2.1925). NR3 building is composed of 16 shipping containers offering an available surface of ≈220m² on two levels. It integrates 4 classrooms named Turing (38 m²), Tesla (51 m²), Nobel (38 m²) and Lumière (38 […]
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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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A Hybrid Binary Grey Wolf Optimiser for WSN Deployment in Indoor Environments Based on BIM database
Wireless Sensor Networks (WSNs) represent a key component in smart building systems. An efficient WSN deployment involves selecting the most appropriate positions within the building to place sensors in order to maximize coverage and minimize the deployment cost. This paper proposes a novel approach called the Hybrid Binary GreyWolf Optimiser (HBGWO) to automate the WSN […]
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The impact of avatar embodiment in the context of virtual training environments
For the past few decades, protocols using immersive virtual reality to study human behavior have become increasingly more common. Indeed, the technology offers many new advantages that traditional experimental setups lacked (e.g., ecological validity). However, beyond its use as an experimental tool, experiments using VR have revealed new phenomena caused by the use of these […]
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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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Can we be more intelligent in VR ?
Collective intelligence is a predictive measure of a group’s ability to perform a wide variety of tasks. It is a crucial indicator to consider for the effective functioning of a group. Several studies have examined the robustness of this factor in various environments, including face-to-face conditions, screenmediated interactions, and even in online video games. However, […]
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FVLLMONTI: The 3D Neural Network Compute Cube (N2C 2 ) Concept for Efficient Transformer Architectures Towards Speech-to-Speech Translation
This multi-partner-project contribution introduces the midway results of the Horizon 2020 FVLLMONTI project. In this project we develop a new and ultra-efficient class of ANN accelerators, the neural network compute cube (N 2C2), which is specifically designed to execute complex machine learning tasks in a 3D technology, in order to provide the high computing power […]
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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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Exploiting Machine Learning Techniques to Predict the Stainless Steel Density Produced by Selective Laser Melting Additive Manufacturing
Porosity is one of the inherent defects that results from the Selective Laser Melting (SLM) additive manufacturing technique. The porosity related to fusion-solidification kinetics, results most often from non-optimally or poorly controlled manufacturing parameters. The density, a porosity indicator, affects the mechanical properties of the manufactured material (fatigue strength, cracks, deformations, etc.). Stainless steels are […]
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Application de systèmes multi-agents pour l’optimisation de la chaîne logistique industrielle
Dans le contexte dynamique des chaînes logistiques industrielles, l’optimisation des ressources est cruciale pour répondre aux exigences de plus en plus complexes du marché. La nécessité d’une gestion intégrée des ressources, englobant tant les machines de production que les moyens de transport, a émergé comme un impératif pour améliorer l’efficacité opérationnelle et maintenir la compétitivité. […]
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