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Experiment Video for Model Predictive Path-Following Control of a Quadrotor
The provided video shows an experimental result of a Model Predictive Path-Following Controller (MPPFC) applied to a Crazyflie Quadrotor.
The objective is to fly along the lemniscate path.
The lemniscate is defined as a time-independent geometric curve, parameterized by a so-called timing law.
Based on this, the MPPFC generates a dynamically feasible trajectory from the provided path in accordance with state and input constraints.
Consequently, the generated trajectory is then tracked by the Quadrotor by the MPPFC.
Therefore, the MPPFC combines trajectory generation and tracking into a single framework.
A quantitative analysis of this approach, as well as further results and details of the experiment can be found in the related publication associated with this video
DAZZLE: Drone-Acquired Zebra data for Large-scale Ecology research
DAZZLE Dataset consists of semi-automatically labeled behaviors of plains and Grévy's zebras holistically for all individuals in complete scenes, in addition to bounding boxes on individual animals. DAZZLE has >30K frames and >160K annotations.
Dataset Contents:
Extracted image frames from the video and corresponding annotations.
Generated dataset for the zebra detector training, merged with MSCOCO.
Generated dataset (training, test1, test2) for classifier training and testing.
Weights of the final trained zebra detector network.
Weights of 10 trained behavior networks, each with a different seed.
Videos: 24
Fames: 30627
Zebras: 258
Total Annotations 162799, Of those - grazing: 71734; standing: 33896; walking: 43235; running: 13934<p
Code for EchoTables (IKILeUS)
EchoTables is an innovative accessibility tool developed as part of the IKILeUS project at the University of Stuttgart. It is designed to improve the usability of tabular data for visually impaired users by converting structured tables into concise, auditory-friendly textual summaries. Traditional screen readers navigate tables linearly, which imposes a high cognitive load on users. EchoTables alleviates this issue by summarizing tables, facilitating quicker comprehension and more efficient information retrieval.
Initially utilizing RUCAIBox (LLM), EchoTables transitioned to Mistral-7B, a more powerful open-source model, to enhance processing efficiency and scalability. The tool has been tested with widely used screen readers such as VoiceOver to ensure accessibility. EchoTables has been adapted to process diverse data sources, including lecture materials, assignments, and WikiTables, making it a valuable resource for students navigating complex datasets
Data: A Novel ELSA Model for Flash Evaporation
OpenFOAM Case Files for "A Novel ELSA Model for Flash Evaporation"
This dataset contains the OpenFOAM case files to generate the published data in:
J. W. Gärtner and A. Kronenburg, "A Novel ELSA Model for Flash Evaporation", International Journal of Multiphase Flow, vol. 174, 2024, doi: 10.1016/j.ijmultiphaseflow.2024.104784
Content
This dataset contains three files:
Codes.tar.gz
Python library to read in sampled line data of OpenFOAM. Required for the jupyter-notebooks in the LN2-2D-RANS and Lebas-TestCases archives.
LN2-2D-RANS.tar.gz
This tar archive contains all OpenFOAM case files of the LN2 cases that are presented in the publication. Further, the jupyter-notebook files to generate the plots of the publication are included.
Lebas-TestCases.tar.gz
This tar archive contains the OpenFOAM cases for the standard ELSA model validation. Further, the jupyter-notebook files to generate the plots of the publication are included.
Requirements
To reproduce the data, OpenFOAM v2012 with the compressiblePhaseChangeFoam solver has to be installed. The compressiblePhaseChangeFoam solver is not a standard OpenFOAM solver and can be accessed on DaRUS at this location:
Compressible Two-Phase One-Fluid Solver
Note that the dataset is restricted, and access has to be requested!
</p
Data for: Lagrangian Sensor Particles for detecting hydrodynamic heterogeneities in industrial bioreactors - experimental analysis and Lattice-Boltzmann simulations
This DaRUS repository entails the raw files and result files (excluding MATLAB code files, see Gitlab repository including documentation) for the publication "Lagrangian Sensor Particles for detecting hydrodynamic heterogeneities in industrial bioreactors: experimental analysis and Lattice-Boltzmann simulations" in the journal "Chemical Engineering Journal Advances".
Abstract:
This study analyzes trajectories of three particle types in an industrial-scale bioreactor, equipped with a Rushton turbine and a pitched blade turbine, to characterize hydrodynamic compartments. The trajectories obtained from measurements with Lagrangian Sensor Particles (LSP,exp) are compared to those generated by Lattice-Boltzmann large eddy simulations (LB LES). The latter method is used to reproduce analogous simulated LSPs (LSP,sim) as resolved particles. Additionally, for benchmarking purposes, massless tracer particles (tracer) are incorporated to accurately represent fluid flow dynamics. Discrepancies in the axial probability of presence and velocity between LSP,exp and LSP,sim likely stem from differences in mass distribution, density, number of particles, and ratio of particle size to grid. A necessarily high LSP,sim volume fraction in LB LES leads to increased collisions and clustering, negatively impacting flow dynamics, and reducing turbulent kinetic energy by at least . Circulation and residence time distributions for the three types of particles identify three hydrodynamic compartments within the bioreactor, validated by local mixing time distributions.The ratio of overall average circulation time to global mixing time is for LSP,exp, which largely corresponds to literature results. A theoretical LSP size of is estimated to be flow following on micro-scale in the bulk phase, if a Stokes number of is assumed. However, Stokes number estimations confirm that LSP,exp are capable to follow flow patterns on the meso-scale and macro-scale with and , respectively. Hence, hydrodynamic structures at length scales greater than or equal to the size of the impeller can be investigated by current state-of-the-art LSPs, which proves their technological readiness for industrial bioreactors.</p
MD Simulations with PRDM9
This data collection contains additional data related to Graf et al.: "Investigation and design of the dual specificity of the PRDM9 protein lysine methyltransferase".
This includes:
Modelled structures of PRDM9 bound to different peptides
Source data of the results of the MD analysis
MD simulations codes and analysis scripts
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DuMux 3.10.0
Release 3.10.0 of DuMux, DUNE for Multi-{Phase, Component, Scale, Physics, ...} flow and transport in porous media. DuMux is a free and open-source simulator for flow and transport processes in and around porous media. It is based on the Distributed and Unified Numerics Environment DUNE
DLC1 knockdown in EMT in MCF10A cells
MCF10A cells were seeded and transfected with two siRNAs targeting dlc1 and one control siRNA. 10 ng/ml TGFb was used to induce EMT and added 24 h after the transfection.
For modeling, the CBS model of Tian et al. (2003) was extended by DLC1. The model was calibrated using the MCF10A data after 5 days under the control and dlc1 targeted siRNA.
The Repository contains:
- The CBSD model in the SBML format
- A PEtab problem describing the parameter estimation problem (experimental data, observables, parameters, experimental conditions)
- Script used for model calibration (Extended_CBS_Pypesto_ParEst.py)
- Script used for MCMC sampling (MCMC_sampling_pypesto_workflow.py)
- Jupyter notebook used for model simulation (Extended_CBS_SNAIL1_libRoadRunner_simulation.ipynb)
- Jupyter notebook used for bifurcation analysis(Bifurcation_Extended_CBS_SNAIL1_PyDSTool.ipynb)
- The MCMC sampling results in HDF5
- Created Visualisations
- The results of the full CBSD model (with all parameters = before model reduction)
- code used in Fiji for the segmentation and analysis of the IF data (get_boundaries_v9.ijm
Replication Data for: 'Single V2 defect in 4H Silicon Carbide Schottky diode at low temperature'
Tabular style data sets to reproduce all plots in the paper. The datasets are either 1D plots with the x-values in the first column and all plotted y-curves in the following columns or pairwise if stated such. For 2D plots, the data consists of a vector containing the values of the x- and y-axis (first row and column, respectively) as well as the 2D data
Replication Data and Scripts for: A lattice Boltzmann approach for modeling coupled evaporation/precipitation processes in porous media
Simulation data and scripts accompanying the paper "A lattice Boltzmann approach for modeling coupled evaporation/precipitation processes in porous media". This dataset contains videos, the corresponding data as well as the scripts from evaporation-induced precipitation simulations in model porous media using the lattice Boltzmann method. For details about the files, please refer to the README