1 to 5 of 5 Results
Aug 27, 2024 - PN 7-6
Kneifl, Jonas; Rettberg, Johannes; Herb, Julius, 2024, "ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software Package)", https://doi.org/10.18419/darus-4446, DaRUS, V1
Software package for data-driven identification of latent port-Hamiltonian systems. Abstract Conventional physics-based modeling techniques involve high effort, e.g.~time and expert knowledge, while data-driven methods often lack interpretability, structure, and sometimes reliabi... |
Nov 17, 2023 - PN 7-6
Kneifl, Jonas; Fehr, Jörg, 2023, "Crash Simulations of a Racing Kart's Structural Frame Colliding against a Rigid Wall", https://doi.org/10.18419/darus-3789, DaRUS, V1
Crash Simulations of a Racing Kart Frame Model This dataset contains results for several crash simulations of the frame of a racing kart colliding against a rigid wall. The wall and the frame itself are modeled as finite element models, implemented in the commercial software tool... |
Aug 2, 2023 - Computational Cognitive Science
Skukies, René, 2023, "2023 CCN Time Window Project Code", https://doi.org/10.18419/darus-3635, DaRUS, V1
Notebooks/ scripts used for the time window project done for our CCN contribution in 2023. The notebooks will simulate EEG data based on a known "ground truth" ERP and test whether the estimation length during ERP activity estimation will have an Influence on the results. To get... |
Jan 30, 2023 - PN 7-6
Kneifl, Jonas; Rosin, David; Avci, Okan; Röhrle, Oliver; Fehr, Jörg, 2023, "Continuum-mechanical Forward Simulation Results of a Human Upper-limb Model Under Varying Muscle Activations", https://doi.org/10.18419/darus-3302, DaRUS, V1
This dataset provides simulation results from a high-fidelity human upper-arm finite element model under varying muscle activations and an example script to load the data. The upper arm model consists of the bones of the radius and ulna for the forearm and the humerus for the upp... |
Jan 17, 2023 - PN 7-6
Rodegast, Philipp; Maier, Steffen; Kneifl, Jonas; Fehr, Jörg, 2023, "Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios", https://doi.org/10.18419/darus-3301, DaRUS, V1, UNF:6:rnJlYpzgwi2nYAtNG7jBtA== [fileUNF]
This dataset provides time-dependent simulation results from high-fidelity motorcycle body crash scenarios. The set contains the angular as well as linear positions, velocities, and accelerations of different parts of the motorcycle. In addition, force and contact sensor signals... |