Leistung des MORA-Geräts zum Testen der Zeitumkehrinvarianz im nuklearen Beta-Zerfall
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...
Sichtgesteuertes orthopädisches Hand-Exoskelett
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...
Eigenzerlegungsparametrisierung von Strafmatrizen für Enhanced Kontrolldesign: Luft- und Raumfahrtanwendungen
Modern control algorithms require tuning of square weight/penalty matrices appearing in quadratic functions/costs to improve performance and/or stability output. Aufgrund der Einfachheit bei der Verstärkungsabstimmung und der Durchsetzung positiver Definitheit, diagonal penalty matrices are used extensively in control methods such as linear quadratic regulator (LQR),...
Analyse von Streifen in kreuzenden Fußgängerströmen mithilfe zeitlicher Matrizen und ein geometrisches Modell
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...
Terahertz-Feldeffekt in einem zweidimensionalen Halbleiter MoS2
Zweidimensional geschichtet (2D) Materialien, with their atomic-scale thickness and tunable electronic, optisch, und mechanische Eigenschaften, open many promising pathways to significantly advance modern electronics. The field effect caused by a strong electric field, typischerweise auf MV/cm-Niveau, applied perpendicular to the material...
Deep Neural Network Emulation des quantenklassischen Übergangs über Erlernte die Dynamik der Wigner-Funktion
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: Eine neue Dimensionsreduktionsmethode zur Erhaltung der nächsten Nachbarn in der hochdimensionalen Vektorsuche
Hochdimensionale Vektoreinbettungen werden häufig in Retrieval-Systemen verwendet, yet dimensionality reduction (DR) is seldom applied due to its tendency to distort nearest-neighbor (NN) Struktur entscheidend für die Suche. Existing DR techniques such as PCA and UMAP optimize global or manifold-preserving criteria, rather...
Überblick über die experimentelle und theoretische Landschaft des Elektrons Transport in edlen Flüssigkeiten
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....
Transitives Array: Ein effizienter GEMM-Beschleuniger mit Wiederverwendung der Ergebnisse
Deep Neural Networks (DNNs) and Large Language Models (LLMs) 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...
Bayesianische Inferenz in Echtzeit im extremen Maßstab: Ein digitaler Zwilling für Tsunami-Frühwarnung für die Cascadia-Subduktionszone
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...