Prestazioni dell'apparato MORA per testare l'invarianza dell'inversione temporale nel decadimento beta nucleare
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...
Esoscheletro ortopedico della mano controllato dalla visione
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...
Parametrizzazione della composizione automatica delle matrici di penalità per l'avanzato Progettazione del controllo: Applicazioni aerospaziali
Modern control algorithms require tuning of square weight/penalty matrices appearing in quadratic functions/costs to improve performance and/or stability output. Grazie alla semplicità nell'ottimizzazione del guadagno e nell'applicazione della definizione positiva, diagonal penalty matrices are used extensively in control methods such as linear quadratic regulator (LQR),...
Analisi delle strisce nell'attraversamento dei flussi pedonali mediante matrici temporali e un modello geometrico
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...
Effetto di campo Terahertz in un semiconduttore bidimensionale MoS2
Bidimensionale a strati (2D) materiali, with their atomic-scale thickness and tunable electronic, ottico, e proprietà meccaniche, open many promising pathways to significantly advance modern electronics. The field effect caused by a strong electric field, tipicamente del livello MV/cm, applied perpendicular to the material...
Emulazione della rete neurale profonda della transizione quantistica-classica tramite Dinamica della funzione Wigner appresa
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: Un nuovo metodo di riduzione delle dimensioni per preservare i vicini più vicini nella ricerca vettoriale ad alta dimensione
Gli incorporamenti di vettori ad alta dimensione sono ampiamente utilizzati nei sistemi di recupero, yet dimensionality reduction (DR) is seldom applied due to its tendency to distort nearest-neighbor (NN) struttura critica per la ricerca. Existing DR techniques such as PCA and UMAP optimize global or manifold-preserving criteria, rather...
Revisione del panorama sperimentale e teorico dell'elettrone trasporto in liquidi nobili
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....
Array transitivo: Un efficiente acceleratore GEMM con riutilizzo dei risultati
Reti neurali profonde (DNN) e modelli linguistici di grandi dimensioni (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...
Inferenza bayesiana in tempo reale su scala estrema: Un gemello digitale per L'allerta precoce per lo tsunami è stata applicata alla zona di subduzione della 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...