1,381 to 1,390 of 2,554 Results
Nov 9, 2022 - Visualisierungsinstitut der Universität Stuttgart
Krake, Tim; Klötzl, Daniel; Eberhardt, Bernhard; Weiskopf, Daniel, 2022, "Constrained Dynamic Mode Decomposition - Supplemental Material", https://doi.org/10.18419/DARUS-3107, DaRUS, V1
In this supplemental material, we provide additional application results of constrained Dynamic Mode Decomposition and a parameter study for the delay parameter d that complement the evaluation in the main document: The paper on Constrained Dynamic Mode Decomposition published with IEEE Transactions on Visualization and Computer Graphics. In this c... |
Nov 7, 2022 - Institut für Strahlwerkzeuge
Hagenlocher, Christian, 2022, "Python implementation of heat accumulation equations for additive manufacturing", https://doi.org/10.18419/DARUS-2609, DaRUS, V1
This is a python implementation of the heat accumulation equations, which describe the increase of the residual temperature in additive manufacturing. The Derivation of the equations is described in the related paper given below. If you run the script in the console, it creates two text-files and four plots in .png format. Process parameter and mat... |
Nov 3, 2022 - SliMoReK Dataverse
Hinze, Christoph; Zeh, Lukas, 2022, "Validation data for comparison of SMC-PI controllers vs. P-PI controller", https://doi.org/10.18419/DARUS-3152, DaRUS, V1
Experimental comparison for sliding mode position controllers vs. P position controller. Please refer to Readme.md contained in the dataset for more detailed information. SMC-like controllers are: Quasi SMC qSMC with sign(s)~s/(|s| + \epsilon), k_s = 1250, epsilon=5, varying gain lambda_q linear SMC-like Controller with varying gain lambda_l Two P... |
Nov 3, 2022 - SliMoReK Dataverse
Hinze, Christoph; Zeh, Lukas, 2022, "PI velocity controllers comparison", https://doi.org/10.18419/DARUS-3109, DaRUS, V1
The following PI-velocity controllers are compared (different parameterization methods), position control is off for all methods: Damping optimum Groß: kp=212, ki=106 Damping optimum Zirn: kp=229, ki=57 Disturbance optimum: kp=76, ki = 38 Symmetric Optimum: kp=149, ki=310 Extended Symmetric Optimum (Schröder2016, §3.2.2): kp=182.9, ki=46 H_inf: kp=... |
Nov 3, 2022 - SliMoReK Dataverse
Hinze, Christoph; Zeh, Lukas, 2022, "Identification data for plant and friction identification", https://doi.org/10.18419/DARUS-3003, DaRUS, V1
Dataset for identification of a ball screw setup. Please refer to Readme.md contained in the dataset for more detailed information. Stribeck fricton with constant velocities (const_v*.mat) Slow measurement along whole axis for synchronization errors (const_vel:*.mat) slow sine force motion for identification of friction, e.g. LuGre (F_mot_sine*.mat... |
Nov 2, 2022 - PN 5-6
Praditia, Timothy; Karlbauer, Matthias; Otte, Sebastian; Oladyshkin, Sergey; Butz, Martin V.; Nowak, Wolfgang, 2022, "Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network", https://doi.org/10.18419/DARUS-3249, DaRUS, V1
This dataset contains diffusion-sorption data, generated with numerical simulation based on three different sorption isotherms, namely the linear, Freundlich, and Langmuir isotherms. This dataset is used to train, validate, and test all the deep learning models that are used in the publication "Learning Groundwater Contaminant Diffusion-Sorption Pr... |
Nov 2, 2022 - SliMoReK Dataverse
Hinze, Christoph, 2022, "Identification data for Linear Direct Drive Forces compensation", https://doi.org/10.18419/DARUS-2563, DaRUS, V1
Linear direct drive forces are identified for compensation, where a linear direct drive is mounted in parallel to a ball screw feed drive axis. Please refer to Readme.md contained in the dataset for more detailed information. Nut forces are measured via 4 parallel KISTLER force sensors in the nut. Total force is in `F_nut_sum`. Note, that the senso... |
Oct 31, 2022 - Collaborative Artificial Intelligence
Bulling, Andreas, 2022, "MPIIEgoFixation", https://doi.org/10.18419/DARUS-3234, DaRUS, V1, UNF:6:fcDo56Ha9jxYApA9klubEQ== [fileUNF]
This dataset is made up of handmade fixation annotations for a subset of the private dataset created in Yusuke Sugano and Andreas Bulling. 2015. Self-calibrating head-mounted eye trackers using egocentric visual saliency. In Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology. ACM, 363-372. https://doi.org/10.1145/2... |
Oct 28, 2022 - B03: Heterogeneous multi-scale methods for two-phase flow in dynamically fracturing porous media
Burbulla, Samuel; Hörl, Maximilian; Rohde, Christian, 2022, "Replication Data for: Flow in Porous Media with Fractures of Varying Aperture", https://doi.org/10.18419/DARUS-3227, DaRUS, V1
This data set contains the simulation data for the results presented in [S. Burbulla, M. Hörl, and C. Rohde (2022). "Flow in Porous Media with Fractures of Varying Aperture." Submitted for publication, https://doi.org/10.48550/arXiv.2207.09301]. We consider the numerical solutions of single-phase fluid flow governed by Darcy's law in a fractured po... |
Oct 28, 2022 - B03: Heterogeneous multi-scale methods for two-phase flow in dynamically fracturing porous media
Burbulla, Samuel; Hörl, Maximilian; Rohde, Christian, 2022, "Source Code for: Flow in Porous Media with Fractures of Varying Aperture", https://doi.org/10.18419/DARUS-3012, DaRUS, V1
Python source code to replicate the results in [S. Burbulla, M. Hörl, and C. Rohde (2022). "Flow in Porous Media with Fractures of Varying Aperture." Submitted for publication, https://doi.org/10.48550/arXiv.2207.09301]. The contained Python package "mmdgpy" is an implementation of interior penalty discontinuous Galerkin (dG) schemes in 2D and 3D f... |
