Smart homes have become a reoccurring topic in our society. Many homes have been modernized in such a way that technology takes a prevailing role. As a result, many electronics technicians have to adapt to the ongoing modernization. With that said, many improvements can be...

Coupled cluster (CC) theory is a popular and reliable tool in quantum chemistry due to its improvable hierarchy of methods able to rapidly converge to the full configuration interaction (FCI) limit in weakly correlated systems. Although it represents one of the most efficient singl...

Simplicial groups are defined to be contravariant functors from the simplex category to the category of groups. The truncation functor maps a simplicial group to a [2,0]-simplicial group, satisfying the Conduché condition. A functor from the category of [2,0]-simplicial groups to the ca...

The open quantum system presented by atomic spins on surfaces is a unique platform to investigate the interplay between stochastic and deterministic behavior. This work investigates this interplay at the transition from classical to quantum behavior in tailored magnetic nanostructures. The s...

Board games such as Ticket to Ride by Days of Wonder use game boards which are based on real geographic data. In this particular example the game map is an abstract railway graph consisting of a set of train stations, that are connected by train routes. Generating&#x...

Appealing and efficient map representations rely on simplifying their map elements in order to reduce the amount of data and rendered objects. However, simplifications inside the well-known OpenStreetMap database are not trivial due to nesting and the associated complex dependencies among el...

Multi-Agent Resource Extraction combines collecting resources with Multi-Agent Pathfinding. For this, multiple agents are coordinated in a graph to remove resources and deposit them into a warehouse. Agents can collide with each other and as long as a resource is not removed, it is...

Neurale Netwerke zur Bestimmung des Optischen Flusses erreichen Bestleistungen bei Experimenten mit publizierten Datensätzen. Allerdings betonten erfolgreiche und praktische Manipulationsangriffe auf die Eingabebilder in der Vergangenheit, sowie das Fehlen von Robustheitsabschätzungen für publizierte Netzwerke, di...

Im Rahmen dieser Arbeit, wurde basierend auf der erfassten Distanz und Blickrichtung eines Betrachters, ein blickrichtungabhängiges Encoding implementiert. Ziel dieses System ist es, die benötigte Bandbreite zu reduzieren, um Visualisierungen für große hochaufgelöste Displays ohne Qualitätsverlust zu über...

Digitale Lehre wird nicht zuletzt durch die Corona-Pandemie ein global an Relevanz gewinnendes Thema. In diesem Rahmen wird zunehmend Forschung im Bereich der Virtual Reality (VR) betrieben, da diese als alternative und interaktive Lehrform genutzt werden kann. Hierbei kann VR&...

The growing trend toward preserving user data privacy has embraced a new computing paradigm called Federated Learning (FL). FL enables edge devices to learn from a global shared model without cloud data storage. FL implements an efficient model training method for disseminating model&#x...

Einblick in die Sammlung des Computermuseums - neun Sammlungsstücke aus der Geschichte der Informatik werden exemplarisch vorgestellt.

The performance of legged locomotion relies on the successful mitigation of unstructured, rough terrain in the presence of sparse information and neurosensory delays. Bioinspired walking systems benefit from carefully engineered passive compliant behavior that models the inherent elastic behavior of&#...

Climate change has become a development issue globally, with developing and emerging economies bearing the highest impact. This is due to inadequate resources, poor infrastructure, weak institutions and systems, which are prerequisites for preparedness, mitigation and adaptation efforts. The phenomeno...

Machine learning and artificial intelligence have been adopted in many businesses recently. The adoption of continuous software engineering practices such as DevOps in deploying machine learning projects to production is termed as MLOps. However, not all ML projects reach production due to&#...