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DeseRt dUst Modeling : performance and Sensitivity evaluation – DRUMS
The main steps are (i) the development of a regional meteorological dust model by implementing specific parameterizations of dust emission, transport and deposition on-line in the Weather Research and Forecast (WRF) model, (ii) the evaluation of the quality of the resulting regional dust simulations
Deriving Performance-Optimized Gestural Interaction – GESTURE
- Define the design space of gesture-based interaction - Elaborate a model of gesture-based interaction - Build an optimisation method for gesture-based interaction Technical results - A gestural vocabulary on an interactive watch published at the national HMI'17 conference. - A smartphone-based
Delay transition to turbulence by mimicking lotus leaves – DETAIL
The lotus leaf is known for its self-cleaning properties that are due to its high water repellence, also called superhydrophobicity (SH). This interesting property is due to the nanostructure of its surface, which is composed by a hierarchical structure of microepidermis covered in hairlike nanowaxe
Deep Learning meets Numerical Analysis – DeepNuM
OBJECTIVE: DeepNuM aims at developing the interplay between two families of computational approaches, Deep Neural Networks (DNNs) and Partial Differential Equations (PDEs), with the goal of modeling complex dynamical systems arising from the observation of natural phenomena. Three central questions
Decoding and monitoring operators’ cognitive states – BLADE
Today, many sectors, such as transportation, medicine, and industry, depend on automated systems. These systems, far from simply replacing human activity with machine activity, pose new challenges for the operators responsible for supervising them. When a human supervises an automated system, they
Decision Support System for Robust Design and Service Quality Indicators of Railway Transport Plans – SCRIPT
Rail traffic should grow significantly in the coming years but this evolution won't really occur without users’ acceptance of the service provided by rail transport. To fulfill the future demand for transport, railway companies must therefore ensure a stable and reliable transport plan which requir
Decision Support System for Large-Scale Evacuation Logistics – DSS_Evac_Logistique
In this project, we consider large-scale evacuations of mid-size towns in situations, where evacuees have to change their center of life for a time lasting from several days to many months with the eventual goal to return to their respective homes. We consider the complete chain of events, including
Data-driven optimization in synchromodal freight transportation networks – CRC Lab
Freight transport networks aim to make the transport of goods from their production facilities to their end customers as efficient as possible. The use of logistics hubs and the pooling of goods flows make it possible to improve performance, both in terms of service and cost control, and to limit th
Data-drivEn reduCed-Rank modEls to deSCribe flamE dyNamics anD their sOund – DECRESCENDO
In the context of the global transition to sustainable and carbon-neutral energy production paradigms, hydrogen combustion has emerged as a prominent candidate, particularly in the field of transport systems. However, the aeroacoustic ramifications of hydrogen flames, a critical aspect for the devel
Data, geometry and curvature – DataGC
Riemannian data are ubiquitous in modern statistics and machine learning: Low-rank matrix completion, dictionary learning, matrix factorization, computer vision, shape statistics, optimal transport, etc. Moreover, in an era where extraordinarily rich, yet also complex and heterogeneous datasets b
