11 to 20 of 36 Results
Feb 26, 2025 - InMotion (EXC)
Frank, Daniel, 2025, "Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.", https://doi.org/10.18419/DARUS-4769, DaRUS, V1, UNF:6:afs/qXtsE2p0ZWIJY23a/A== [fileUNF]
Python package for simulating ordinary differential equations in state space form. See README.md for details. |
Feb 26, 2025 - InMotion (EXC)
Frank, Daniel, 2025, "Damped pendulum for nonlinear system identification - inputs are sampled from a multivariate-normal distribution - synthetically generated", https://doi.org/10.18419/DARUS-4770, DaRUS, V1
Overview This dataset contains input-output data of a damped nonlinear pendulum that is actuated at the mounting point. The data was generated with statesim [1], a python package for simulating linear and nonlinear ODEs, for the system actuated pendulum. The configuration .json files for the corresponding datasets (in-distribution and out-of-distri... |
Feb 26, 2025 - InMotion (EXC)
Frank, Daniel, 2025, "Coupled mass-spring-damper system for nonlinear system identification - actuated with random static inputs - synthetically generated", https://doi.org/10.18419/DARUS-4768, DaRUS, V1
Overview This dataset contains input-output data of a coupled mass-spring-damper system with a nonlinear force profile. The data was generated with statesim [1], a python package for simulating linear and nonlinear ODEs, for the system coupled-msd. The configuration .json files for the corresponding datasets (in-distribution and out-of-distribution... |
Feb 13, 2025Analytic Computing
Project Website: https://www.ki.uni-stuttgart.de/departments/ac/research/projects/inmotion/ |
Feb 13, 2025Analytic Computing
Project Website: https://www.ki.uni-stuttgart.de/departments/ac/research/projects/ikileus/ |
Jan 8, 2025 - KR-Building (EXC IntCDC)
Glaser, Gabriel Timon, 2025, "Knowledge Graph Generator", https://doi.org/10.18419/DARUS-4436, DaRUS, V1
Code and experiment results for a synthetic knowledge graph generator. The generator receives a set of rules, with an expected body support and support, and returns a knowledge graph that approximately matches the rules according to the body support and confidence. This code was developed during the Bachelor thesis by Gabriel Glaser, Generating Ran... |
Dec 19, 2024Analytic Computing
Project Website: https://www.ki.uni-stuttgart.de/departments/ac/research/projects/Kr-building/ |
Nov 25, 2024
Gaziev, Georgii, 2024, "Dynamics of Head Pointing Using Static and Dynamic Gains", https://doi.org/10.18419/DARUS-4577, DaRUS, V1, UNF:6:3DnoTrzOzr95W/g7bxpHAg== [fileUNF]
Data was acquired from experiments of the master's thesis "Exploring the dynamics of the head pointing." There were two studies: preliminary and the main study. The task of both was a two-dimensional pointing, as described in ISO 9241-41. Pointing was performed by tracking the head rotation using Tobii 4C Eyetracker, capable of detecting head rotat... |
Xiong, Bo; Potyka, Nico; Tran, Trung-Kien; Nayyeri, Mojtaba; Staab, Steffen, 2024, "Code for Faithful Embeddings for EL++ Knowledge Bases", https://doi.org/10.18419/DARUS-3989, DaRUS, V1
This is the official pytorch implementation of the paper "Faithful embeddings for EL++ Knowledge Bases" published in ISWC 2022. The code was implemented based on el-embeddings. The code can be used to reproduce the experiments on subsumption reasoning. To execute the code, follow the instructions in the README.md file. For more info, please check t... |
