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Publication Year: 2024

301 to 310 of 381 Results

Replication Data for: Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives Mar 21, 2024 - 2019_DFG_ZRA_Gleichlaufkompensation Steinle, Lukas, 2024, "Replication Data for: Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives", https://doi.org/10.18419/DARUS-3759, DaRUS, V1, UNF:6:yyyPRR4Wz8WOv1lj5nOToA== [fileUNF] This dataset contains all experimental data that is shown within the paper "Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives". Rack-and-pinion drives are commonly used in large machine tools to provide linear motion of heavy loads over long travel distances. A key concern in this context is the achievable p...
Geostatistical Inversion(Universität Stuttgart) Mar 19, 2024Stochastic Simulation and Safety Research for Hydrosystems (LS3)
Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL Mar 19, 2024 - Scientific Computing Bantel, Linus; Domanski, Peter, 2024, "Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL", https://doi.org/10.18419/DARUS-4085, DaRUS, V1, UNF:6:8MdHTluRf6u9Vntb4fvs/g== [fileUNF] Recorded Data of the Swingup Task on the Inverted Cartpole IP-02 by Quanser. State transitions are as following: (pos, pos_dot, phi, phi_dot, action) -> (pos_new, pos_dot_new, phi_new, phi_dot_new) Actions are discrete from 0 to 8, with 4 being the zero-action. I.e. 0 and 8 are full force in either direction.
Percentile Intervals in Bayesian Inference are Overconfident Mar 19, 2024 - Institute for Stochastics and Applications Höpfl, Sebastian, 2024, "Percentile Intervals in Bayesian Inference are Overconfident", https://doi.org/10.18419/DARUS-4068, DaRUS, V1 This dataset demonstrates the difference in calculating percentile Intervals as approximation for Highest Density Intervals (HDI) vs. Highest Posterior Density (HPD). This is demonstrated with extended partial liver resection data (ZeLeR-study, ethical vote: 2018-1246-Material). The data includes Computed Tomography (CT) liver volume measurements o...
2019_DFG_ZRA_Gleichlaufkompensation(Universität Stuttgart) Mar 18, 2024ISW Data Repository
Ikarus v0.4 Mar 15, 2024 - Ikarus Müller, Alexander; Vinod Kumar Mitruka, Tarun Kumar Mitruka; Jakob, Henrik, 2024, "Ikarus v0.4", https://doi.org/10.18419/DARUS-3889, DaRUS, V1 Ikarus is a C++-based library with Python bindings (link to documentation) built to solve partial differential equations with the finite element method. The dataset under this DOI contains the current release (v0.4) of the library. This release not only focuses on refactoring various interfaces but also introduces exciting features such as Python b...
Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference Mar 14, 2024 - PN 2-7 Reiser, Philipp; Aguilar, Javier Enrique; Guthke, Anneli; Bürkner, Paul-Christian, 2024, "Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference", https://doi.org/10.18419/DARUS-4093, DaRUS, V1 This code allows to replicate key experiments from our paper: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. For further details, please refer to the README.md.
Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data Mar 14, 2024 - PN 6A-4 Alvarez Chaves, Manuel; Gupta, Hoshin; Ehret, Uwe; Guthke, Anneli, 2024, "Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data", https://doi.org/10.18419/DARUS-4087, DaRUS, V1 Non-Parametric Estimation in Information Theory 1. Introduction This is a repository for our paper on: "On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data". The projects is organizes as follows: ├── analysis_results\ │ ├── plots\ ├── data_evaluation\ │ ├── data\ │ ├── notebooks\ │ ├── results\...
exaFOAM Microbenchmark MB10 - ERCOFTAC conical diffuser LES Mar 14, 2024 - HLRS-exaFOAM Lesnik, Sergey; Rusche, Henrik, 2024, "exaFOAM Microbenchmark MB10 - ERCOFTAC conical diffuser LES", https://doi.org/10.18419/DARUS-3745, DaRUS, V1 This work is part of the exaFOAM project that aims to enable the open-source CFD software OpenFOAM to exploit massively parallel HPC architectures and overcome performance scaling bottlenecks. The ERCOFTAC conical diffuser is a challenging case for turbulence modeling since it operates in the flow regime close to separation at the diffuser wall. De...
exaFOAM Microbenchmark MB11 - Pitz&Daily Combustor Mar 14, 2024 - HLRS-exaFOAM Lesnik, Sergey; Rusche, Henrik, 2024, "exaFOAM Microbenchmark MB11 - Pitz&Daily Combustor", https://doi.org/10.18419/DARUS-3744, DaRUS, V1 This work is part of the exaFOAM project that aims to enable the open-source CFD software OpenFOAM to exploit massively parallel HPC architectures and overcome performance scaling bottlenecks. The case is based on the experiment carried out by Pitz and Daily 1983, who measured a combustion flow formed at a backward facing step. The goal of the work...

Replication Data for: Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives

Mar 21, 2024 - 2019_DFG_ZRA_Gleichlaufkompensation

Steinle, Lukas, 2024, "Replication Data for: Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives", https://doi.org/10.18419/DARUS-3759, DaRUS, V1, UNF:6:yyyPRR4Wz8WOv1lj5nOToA== [fileUNF]

This dataset contains all experimental data that is shown within the paper "Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives". Rack-and-pinion drives are commonly used in large machine tools to provide linear motion of heavy loads over long travel distances. A key concern in this context is the achievable p...

Geostatistical Inversion(Universität Stuttgart)

Mar 19, 2024Stochastic Simulation and Safety Research for Hydrosystems (LS3)

Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL

Mar 19, 2024 - Scientific Computing

Bantel, Linus; Domanski, Peter, 2024, "Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL", https://doi.org/10.18419/DARUS-4085, DaRUS, V1, UNF:6:8MdHTluRf6u9Vntb4fvs/g== [fileUNF]

Recorded Data of the Swingup Task on the Inverted Cartpole IP-02 by Quanser. State transitions are as following: (pos, pos_dot, phi, phi_dot, action) -> (pos_new, pos_dot_new, phi_new, phi_dot_new) Actions are discrete from 0 to 8, with 4 being the zero-action. I.e. 0 and 8 are full force in either direction.

Percentile Intervals in Bayesian Inference are Overconfident

Mar 19, 2024 - Institute for Stochastics and Applications

Höpfl, Sebastian, 2024, "Percentile Intervals in Bayesian Inference are Overconfident", https://doi.org/10.18419/DARUS-4068, DaRUS, V1

This dataset demonstrates the difference in calculating percentile Intervals as approximation for Highest Density Intervals (HDI) vs. Highest Posterior Density (HPD). This is demonstrated with extended partial liver resection data (ZeLeR-study, ethical vote: 2018-1246-Material). The data includes Computed Tomography (CT) liver volume measurements o...

2019_DFG_ZRA_Gleichlaufkompensation(Universität Stuttgart)

Mar 18, 2024ISW Data Repository

Ikarus v0.4

Mar 15, 2024 - Ikarus

Müller, Alexander; Vinod Kumar Mitruka, Tarun Kumar Mitruka; Jakob, Henrik, 2024, "Ikarus v0.4", https://doi.org/10.18419/DARUS-3889, DaRUS, V1

Ikarus is a C++-based library with Python bindings (link to documentation) built to solve partial differential equations with the finite element method. The dataset under this DOI contains the current release (v0.4) of the library. This release not only focuses on refactoring various interfaces but also introduces exciting features such as Python b...

Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

Mar 14, 2024 - PN 2-7

Reiser, Philipp; Aguilar, Javier Enrique; Guthke, Anneli; Bürkner, Paul-Christian, 2024, "Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference", https://doi.org/10.18419/DARUS-4093, DaRUS, V1

This code allows to replicate key experiments from our paper: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. For further details, please refer to the README.md.

Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data

Mar 14, 2024 - PN 6A-4

Alvarez Chaves, Manuel; Gupta, Hoshin; Ehret, Uwe; Guthke, Anneli, 2024, "Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data", https://doi.org/10.18419/DARUS-4087, DaRUS, V1

Non-Parametric Estimation in Information Theory 1. Introduction This is a repository for our paper on: "On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data". The projects is organizes as follows: ├── analysis_results\ │ ├── plots\ ├── data_evaluation\ │ ├── data\ │ ├── notebooks\ │ ├── results\...

exaFOAM Microbenchmark MB10 - ERCOFTAC conical diffuser LES

Mar 14, 2024 - HLRS-exaFOAM

Lesnik, Sergey; Rusche, Henrik, 2024, "exaFOAM Microbenchmark MB10 - ERCOFTAC conical diffuser LES", https://doi.org/10.18419/DARUS-3745, DaRUS, V1

This work is part of the exaFOAM project that aims to enable the open-source CFD software OpenFOAM to exploit massively parallel HPC architectures and overcome performance scaling bottlenecks. The ERCOFTAC conical diffuser is a challenging case for turbulence modeling since it operates in the flow regime close to separation at the diffuser wall. De...

exaFOAM Microbenchmark MB11 - Pitz&Daily Combustor

Mar 14, 2024 - HLRS-exaFOAM

Lesnik, Sergey; Rusche, Henrik, 2024, "exaFOAM Microbenchmark MB11 - Pitz&Daily Combustor", https://doi.org/10.18419/DARUS-3744, DaRUS, V1

This work is part of the exaFOAM project that aims to enable the open-source CFD software OpenFOAM to exploit massively parallel HPC architectures and overcome performance scaling bottlenecks. The case is based on the experiment carried out by Pitz and Daily 1983, who measured a combustion flow formed at a backward facing step. The goal of the work...

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