Stuttgart Center for Simulation Science (SC SimTech)

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21,031 to 21,040 of 21,173 Results

nmtvis.zip May 26, 2021 - NMTVis - Neural Machine Translation Visualization System ZIP Archive - 31.3 MB - MD5: e35ec094ab6bf591a9a5b81d5a13c791 Source code of our visual analytics system
A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot May 21, 2021 - PN 4-4 Eschmann, Hannes, 2021, "A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot", https://doi.org/10.18419/DARUS-1845, DaRUS, V1 The intend of this data set is the cooperation within SimTech. It will be particularly interesting for data-based modeling and control which is a key area of the research of project network 4. We are proud to provide real-world data, which is essential for the benchmark of any data-based method. Additionally, we are able to provide reference soluti...
documentation.pdf May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot Adobe PDF - 2.2 MB - MD5: faaf50d668131d5792fc18dc263947ba a short introduction into the training data and its purpose
messung1.mat May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot MATLAB Data - 754.8 KB - MD5: 77f69e59ded4a67acc231c28e451b569 training data set 1
messung2.mat May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot MATLAB Data - 745.8 KB - MD5: 104873a233e7f2a7126c88073fa3aa22 training data set 2
README.txt May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot Plain Text - 1.0 KB - MD5: 4e8c9364d65d846be139ff83b1ff28b6
reference.mat May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot MATLAB Data - 157.0 KB - MD5: d9470a6e04918ad406bf32e50e917413 reference data (figure eight trajectory)
PN 4-4(Institute of Engineering and Computational Mechanics, Universität Stuttgart) May 10, 2021PN 4 Bridging the gap between theoretic research in distributed and learning-based model predictive control and multi-agent applications.
Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone: SEM images May 4, 2021 - Publication: Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone Balcewicz, Martin; Ruf, Matthias; Steeb, Holger; Saenger, Erik H., 2021, "Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone: SEM images", https://doi.org/10.18419/DARUS-1812, DaRUS, V1 The Ruhr sandstone is assigned to the Upper Carboniferous and is part of the Ruhr cyclothem located in North Rhine-Westphalia, which consists of clays, siltstones, mudstones, sandstones, and interbedded coal seams. The sediment was chemically and mechanically compacted, folded, and faulted during the Hercynian orogeny. The studied microstructure of...
RSST_X_02_25.rar May 4, 2021 - Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone: SEM images RAR Archive - 9.9 MB - MD5: 6bb8e193c01c5c1d8a07ec527cd112c3 Scanning Electron Microscope (SEM) images of a Ruhr sandstone thin section (RSST_X_02_25) in 8 bit *.tif file format using different magnifications.

nmtvis.zip

May 26, 2021 - NMTVis - Neural Machine Translation Visualization System

ZIP Archive - 31.3 MB -

Source code of our visual analytics system

A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot

May 21, 2021 - PN 4-4

Eschmann, Hannes, 2021, "A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot", https://doi.org/10.18419/DARUS-1845, DaRUS, V1

The intend of this data set is the cooperation within SimTech. It will be particularly interesting for data-based modeling and control which is a key area of the research of project network 4. We are proud to provide real-world data, which is essential for the benchmark of any data-based method. Additionally, we are able to provide reference soluti...

documentation.pdf

May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot

Adobe PDF - 2.2 MB -

a short introduction into the training data and its purpose

messung1.mat

May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot

MATLAB Data - 754.8 KB -

training data set 1

messung2.mat

May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot

MATLAB Data - 745.8 KB -

training data set 2

README.txt

May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot

Plain Text - 1.0 KB -

reference.mat

May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot

MATLAB Data - 157.0 KB -

reference data (figure eight trajectory)

PN 4-4(Institute of Engineering and Computational Mechanics, Universität Stuttgart)

May 10, 2021PN 4

Bridging the gap between theoretic research in distributed and learning-based model predictive control and multi-agent applications.

Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone: SEM images

May 4, 2021 - Publication: Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone

Balcewicz, Martin; Ruf, Matthias; Steeb, Holger; Saenger, Erik H., 2021, "Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone: SEM images", https://doi.org/10.18419/DARUS-1812, DaRUS, V1

The Ruhr sandstone is assigned to the Upper Carboniferous and is part of the Ruhr cyclothem located in North Rhine-Westphalia, which consists of clays, siltstones, mudstones, sandstones, and interbedded coal seams. The sediment was chemically and mechanically compacted, folded, and faulted during the Hercynian orogeny. The studied microstructure of...

RSST_X_02_25.rar

May 4, 2021 - Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone: SEM images

RAR Archive - 9.9 MB -

Scanning Electron Microscope (SEM) images of a Ruhr sandstone thin section (RSST_X_02_25) in 8 bit *.tif file format using different magnifications.

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