Immersives Teleoperations-Framework für Lokomanipulationsaufgaben
Recent advancements in robotic loco-manipulation have leveraged Virtual Reality (VR) to enhance the precision and immersiveness of teleoperation systems, significantly outperforming traditional methods reliant on 2D camera feeds and joystick controls. Despite these advancements, challenges remain, particularly concerning user experience across different...
Rydberg-Atome in einer Leitergeometrie: Löschdynamik und Floquet Ingenieurwesen
In recent days, Rydberg atom quantum simulator platforms have emerged as novel quantum simulators for physical systems ranging from condensed matter to particle physics. On a fundamental level, these platforms allow for a direct test of our understanding of the emergence of...
Koronales Gas in Magellan-Analog-Zwergen: Insights from the \textsc{HESTIA} Simulationen
Wir charakterisieren das warme zirkumgalaktische Medium (CGM) of a dwarf galaxy pair with properties similar to the Magellanic Clouds in the \textsc{Hestia} Kosmologische Simulationen. Das System besteht aus einem massiven Zwerg ($M_{\rm hallo} \sim 10^{11.5} M_{\Odot}$) und ein Begleiter mit geringerer Masse ($M_{\rm hallo}...
Tauschen Sie Monte Carlo gegen zweiatomige Moleküle aus
In recent years the Swap Monte Carlo algorithm has led to remarkable progress in equilibrating supercooled model liquids at low temperatures. Applications have so far been limited to systems composed of spherical particles, Jedoch, whereas most real-world supercooled liquids are molecular. We...
Lance: Efficient Random Access in Columnar Storage through Adaptive Structural Encodings
The growing interest in artificial intelligence has created workloads that require both sequential and random access. Gleichzeitig, NVMe-backed storage solutions have emerged, providing caching capability for large columnar datasets in cloud storage. Current columnar storage libraries fall short of...
Beurteilung von Richtern als Bewerter: Der JETTS-Benchmark von LLM-as-Judges as Evaluatoren für die Testzeitskalierung
Scaling test-time computation, or affording a generator large language model (LLM) extra compute during inference, typically employs the help of external non-generative evaluators (d.h., reward models). Concurrently, LLM-judges, models trained to generate evaluations and critiques (explanations) in natural language, are becoming increasingly...
Impulsive Mustererkennung einer myoelektrischen Hand mittels Dynamic Time Verziehen
Although myoelectric prosthetic hands provide amputees with intuitive control, their reliance on many EMG sensors limits accessibility and makes them complex and expensive. Um dieses Problem anzugehen, this work presents a different perspective that makes use of a single EMG sensor and...
Breitband-Fourier-Transformationsspektroskopie von Quantenemittern Photolumineszenz mit einer zeitlichen Auflösung im Subnanosekundenbereich
The spectral characterization of quantum emitter luminescence over broad wavelength ranges and fast timescales is important for applications ranging from biophysics to quantum technologies. Here we present the application of time-domain Fourier transform spectroscopy, based on a compact and stable birefringent interferometer...
Gemeinsames Wissens- und Energiemanagement für sichere semantische Kommunikation Netzwerke
Kürzlich, semantic communication (SemCom) has shown its great superiorities in resource savings and information exchanges. Jedoch, while its unique background knowledge guarantees accurate semantic reasoning and recovery, semantic information security-related concerns are introduced at the same time. Since the potential eavesdroppers may...
Diffusionsbrückenmodelle für die 3D-Übersetzung medizinischer Bilder
Diffusionstensor-Bildgebung (DTI) provides crucial insights into the microstructure of the human brain, but it can be time-consuming to acquire compared to more readily available T1-weighted (T1w) Magnetresonanztomographie (MRT). Um diese Herausforderung anzugehen, we propose a diffusion bridge model...