Performances de l'appareil MORA pour tester l'invariance par inversion du temps dans la désintégration bêta nucléaire
The MORA experimental setup is designed to measure the triple-correlation D parameter in nuclear beta decay. The D coefficient is sensitive to possible violations of time-reversal invariance. The experimental configuration consists of a transparent Paul trap surrounded by a detection setup with...
Exosquelette de main orthétique contrôlé par la vision
This paper presents the design and implementation of an AI vision-controlled orthotic hand exoskeleton to enhance rehabilitation and assistive functionality for individuals with hand mobility impairments. The system leverages a Google Coral Dev Board Micro with an Edge TPU to enable real-time...
Paramétrage de la décomposition propre des matrices de pénalités pour une amélioration Conception des contrôles: Applications aérospatiales
Modern control algorithms require tuning of square weight/penalty matrices appearing in quadratic functions/costs to improve performance and/or stability output. En raison de la simplicité du réglage du gain et de l'application d'une définition positive, diagonal penalty matrices are used extensively in control methods such as linear quadratic regulator (LQR),...
Analyser les rayures dans les flux piétons traversant à l'aide de matrices temporelles et un modèle géométrique
Understanding pattern formation in crossing pedestrian flows is essential for analyzing and managing high-density crowd dynamics in urban environments. This study presents two complementary methodological approaches to detect and characterize stripe formations, an emergent structure observed when two pedestrian groups cross at...
Effet de champ térahertz dans un semi-conducteur bidimensionnel MoS2
Couches bidimensionnelles (2D) matériels, with their atomic-scale thickness and tunable electronic, optique, et propriétés mécaniques, open many promising pathways to significantly advance modern electronics. The field effect caused by a strong electric field, généralement du niveau MV/cm, applied perpendicular to the material...
Émulation de réseau neuronal profond de la transition quantique-classique via Dynamique des fonctions de Wigner apprise
The emergence of classical behavior from quantum mechanics as Planck’s constant $\hbar$ approaches zero remains a fundamental challenge in physics [1-3]. This paper introduces a novel approach employing deep neural networks to directly learn the dynamical mapping from initial quantum state parameters...
MPAD: Une nouvelle méthode de réduction de dimension pour préserver les voisins les plus proches dans la recherche de vecteurs en haute dimension
High-dimensional vector embeddings are widely used in retrieval systems, yet dimensionality reduction (RD) is seldom applied due to its tendency to distort nearest-neighbor (NN) structure critical for search. Existing DR techniques such as PCA and UMAP optimize global or manifold-preserving criteria, rather...
Review of the experimental and theoretical landscape of electron transport in noble liquids
We present a review of the current experimental and theoretical understanding of electron transport in noble liquids. Special attention is given to recent measurements that coincide with the development of time projection chambers (TPCs) using liquid xenon and argon as detector media....
Tableau transitif: Un accélérateur GEMM efficace avec réutilisation des résultats
Deep Neural Networks (DNNs) and Large Language Models (LLM) have revolutionized artificial intelligence, yet their deployment faces significant memory and computational challenges, especially in resource-constrained environments. Quantization techniques have mitigated some of these issues by reducing data precision, primarily focusing on General...
Inférence bayésienne en temps réel à échelle extrême: Un jumeau numérique pour alerte précoce aux tsunamis appliquée à la zone de subduction de Cascadia
We present a Bayesian inversion-based digital twin that employs acoustic pressure data from seafloor sensors, along with 3D coupled acoustic-gravity wave equations, to infer earthquake-induced spatiotemporal seafloor motion in real time and forecast tsunami propagation toward coastlines for early warning with quantified...