Published in at - Automatisierungstechnik
There are still many hazardous tasks that humans perform in their daily work. This is of great concern for the remediation of contaminated sites, for the dismantling of nuclear power plants, or for the handling of hazardous materials. The competence center ROBDEKON was founded to concentrate expertise and coordinate research activities regarding de...
The concept of Physical Unclonable Functions (PUFs) is an attempt to base cryptography on physical possession. This is in contrast to conventional cryptography, where the essential difference of participants in a cryptographic protocol is their knowledge of secret information such as keys and nonces. The literature has a rich body of suggestions fo...
Predicting the ground-state and metastable crystal structures of materials from just knowing their composition is a formidable challenge in computational materials discovery. Recent studies that were published in the group of M. Scheffler have investigated how the relative stability of compounds between two crystal-structure types can be predicted ...
Optical aspheres and freeform surfaces are widely used in modern technologies and industry and form an integral part of, e.g., lenses, photo cameras or imaging optics. They can be designed to be more complex than spherical surfaces, resulting in improved functionality and light, compact optical systems. However, their further improvement is challen...
Mantle convection plays a fundamental role in the long-term thermal evolution of terrestrial planets like Earth, Mars, Mercury and Venus. Yet, key parameters and initial conditions of the partial differential equations governing mantle convection are poorly constrained. This often requires a large sampling of the parameter space to determine which ...
In computer vision a number of feature visualization techniques were developed to make convolutional networks more interpretable. For audio classification those methods are used as well but are not as extensively investigated. This thesis picks up on that and investigates to which extent a selection of feature visualization methods originally devel...
Machine learning (ML) is becoming increasingly ubiquitous in industrial and scientific applications. The life cycle of ML applications consists of analyzing the input data, preprocessing and feature engineering, model selection and hyperparameter tuning, and deploying the models and pipelines for inference. Designing ML pipelines is an iterative pr...
The field of Music Information Retrieval (MIR) has gained a lot of importance over the last years. One important sub-field of MIR is the subject of Automatic Music Transcription (AMT) which focuses on extracting a musical score or a symbolic representation (e.g. MIDI) from an audio signal. This thesis explores the ability of deep neural networks to a...
Learning machines, like complex Deep Neural Networks (DNNs), are employed in critical infrastructures such as the medical or financial domains. These models affect human lives and therefore humans must be able to inspect them thoroughly. Unfortunately, there is currently a trade-off between the complexity of a neural model and the ability of humans...
Die aktive Strömungsbeeinflussung kann in vielen technischen Bereichen zur Optimierung von aerodynamischen Eigenschaften bzw. zur Kompensation von Störungen eingesetzt werden. Allerdings ist die technische Realisierung der aktiven Strömungsbeeinflussung in vielen Fällen sehr herausfordernd. Dies gilt insbesondere bei der Umsetzung in einem geschlos...
