Interaktive Grammatikanalyse historischer Texte: Adaptive Annotationsverfahren zur Erschlie?ung des Sprachausbaus im Mittelniederdeutschen
Das empirische Forschungsvorhaben untersucht den Sprachausbau des Mittelniederdeutschen vom 13. Jahrhundert bis zum Schreibsprachenwechsel im 16./17. Jahrhundert, mit dem das Mittelniederdeutsche seine Geltung als Schriftsprache an das Frühneuhochdeutsche verliert. Es leistet damit einen Beitrag zur Rekonstruktion der bislang erst punktuell ...
Duration: 01/2017 - 12/2019
Funded by: DFG
Soft-Clustering - Von Heuristiken zu Approximationsalgorithmen
Unter einem Clustering versteht man die Partitionierung einer Menge von Objekten in Gruppen, welche als Cluster bezeichnet werden. Die Berechnung eines guten Clusterings ist ein typisches Problem aus dem Bereich des maschinellen Lernens und des Data-Minings, das in zahlreichen Gebieten, z.B. der Datenkompression, Bild- und Mustererkennung, und der ...
Duration: 01/2017 - 12/2021
Funded by: DFG
TRR 191 - Symplectic structures in geometry, algebra and dynamics
Since their inception, the study of symplectic structures and the applications of symplectic techniques (as well as their odd-dimensional contact geometric counterparts) have benefited from a strong extraneous motivation. Symplectic concepts have been developed to solve problems in other fields that have resisted more traditional approaches, or ...
Duration: 01/2017 - 12/2021
Funded by: DFG
TRR 191 - Derived categfories of singular curves (Subproject A07)
In this project, we shall apply techniques of algebraic geometry and homological algebra (derived categories, Fourier-Mukai transforms, vector bundles on possibly singular Riemann surfaces) to study problems of geometric analysis. In particular, we shall investigate Bochner Laplacians and kernel functions (Bergman and Szeg? kernels) attached to ...
Duration: 01/2017 - 12/2020
Funded by: DFG
TRR 191 - Symplectic methods of infinite dimensional systems (Subproject B06)
Symplectic methods lead to significant progress also for infinite-dimensional dynamical systems (mostly in the form of PDEs). This project considers two instances of such systems, and we intend to (i) construct new solutions of the Einstein equations using integrability methods (via symmetries of the spacetime); and (ii) significantly expand the ...
Duration: 01/2017 - 12/2020
Funded by: DFG
Hardware-in-the-loop environment for multidimensional axle testing and chassis design
Die Hardware-in-the-Loop-Simulation (HiL-Simulation) ist eine bew?hrte Test- und Entwicklungsmethode für mechatronische Produkte, die insbesondere in der Automobilentwicklung eingesetzt wird. Die zu testende Teilkomponente eines Gesamtsystems wird real aufgebaut, von den restlichen Komponenten werden Modelle auf einem Echtzeitsystem simuliert, und ...
Duration: 01/2017 - 12/2022
Funded by: DFG
Fractional Variational Integration and Optimal Control
Duration: 01/2017 - 12/2021
Funded by: EPSRC
Investigating Solvation of Bio-Polymers in Ionic Liquids by Means of Multiscale Simulations and Computational Spectroscopy
Within this project, the microscopic solvation characteristics of cellulose in ionic liquids shall be investigated by means of multiscale molecular dynamics simulations, complemented by computational spectroscopy. The aim of the project is to gain a molecular picture of the interactions between cellulose and a series of ionic liquids and to ...
Duration: 01/2017 - 04/2023
Funded by: DFG
Acoustic Sensor Networks Research Group
This Research Unit investigates solutions and limitations for acoustic signal processing and classification over coustic sensor networks. We aim to tackle current shortcomings and to develop a common platform which will make ASNs more adaptive to the variability of acoustic environments and sensor configurati?ons, less dependent on supervision, and ...
Duration: 01/2017 - 12/2023
Funded by: DFG
Sound Recognition with Limited Supervision over Sensor Networks
A mismatch between training and test data statistics can result in a significant degradation of performance of machine learning systems. For sound recognition in acoustic sensor net?works (ASNs) this is a significant issue because of the huge number and variability of sounds and acoustic environments, and because of the large variety of sensor ...
Duration: 01/2017 - 12/2023
Funded by: DFG