41 to 50 of 64 Results
Feb 13, 2024 - Analytic Computing
Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "Code for Training and Testing CNVVE", https://doi.org/10.18419/DARUS-3896, DaRUS, V1
This dataset consists of files used for training and testing the CNVVE Dataset. This dataset consists of 950 audio samples encompassing six distinct classes of voice expressions. These expressions were collected from 42 generous individuals who donated their voice recordings for the study. By making the dataset publicly accessible, we hope to facil... |
Dec 11, 2023 - ABxM Framework for Agent-based Modeling and Simulation
Schwinn, Tobias; Groenewolt, Abel; Nguyen, Long; Siriwardena, Lasath; Alvarez, Martín; Reiner, Alexander; Zorn, Max Benjamin; Menges, Achim, 2023, "ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures", https://doi.org/10.18419/DARUS-3438, DaRUS, V3
ABxM.PlateStructures is an add-on to ABxM.Core for agent-based design and development of plate structures, such as segmented timber shells. The add-on contains various agent system constructs and utilities for plate structure design and is intended to be used within Rhino/Grasshopper. This version contains the tools for designing plate structures s... |
Sep 27, 2023 - Quantum Computing @IAAS
Mandl, Alexander; Barzen, Johanna; Leymann, Frank; Mangold, Victoria; Riegel, Benedikt; Vietz, Daniel; Winterhalter, Felix, 2023, "Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs", https://doi.org/10.18419/DARUS-3445, DaRUS, V1
Replication code for training Quantum Neural Networks using entangled datasets. This is the version of the code that was used to generate the experiment results in the related publication. For future developments and discussion see the Github repository. Experiments: avg_rank_exp.py: Experiments for training QNNs using training data of varying Schm... |
Aug 31, 2023 - Publications
Tapia Camú, Cristóbal; Aicher, Simon, 2023, "Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations", https://doi.org/10.18419/DARUS-3318, DaRUS, V2, UNF:6:gvvNiEJEFzTByhaIsaPJVQ== [fileUNF]
This repository contains the experimental data of the tests described in the paper, as well as the python scripts used for the analysis of the data. Also, the finite element model in form of an Abaqus python script is included. |
Aug 2, 2023 - Computational Cognitive Science
Skukies, René, 2023, "2023 CCN Time Window Project Code", https://doi.org/10.18419/DARUS-3635, DaRUS, V1
Notebooks/ scripts used for the time window project done for our CCN contribution in 2023. The notebooks will simulate EEG data based on a known "ground truth" ERP and test whether the estimation length during ERP activity estimation will have an Influence on the results. To get a first impression why this is important please have a look at our onl... |
Jul 25, 2023 - PN 6-4
Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/DARUS-3589, DaRUS, V1
Source code of our visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset. Instructions on how to use our system can be found in the README. |
Jun 16, 2023 - Institute for Structural Mechanics
Tkachuk, Anton; Krake, Tim; Gade, Jan; von Scheven, Malte, 2023, "Matlab Implementation of Efficient Computation of Redundancy Matrices", https://doi.org/10.18419/DARUS-3347, DaRUS, V1
This is a Demo for the manuscript 'Efficient Computation of Redundancy Matrices for Moderately Redundant Truss and Frames Structures' that demonstrates the speedup of the proposed algorithms. The computation is done in single-precision. Please open and run the main file. Further information is contained in this file. |
Jun 12, 2023 - EXC IntCDC Research Project 28 'Visual Support for Architectural Design and Construction'
Pathmanathan, Nelusa; Öney, Seyda; Becher, Michael; Sedlmair, Michael; Weiskopf, Daniel; Kurzhals, Kuno, 2023, "Replication Data for: Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments", https://doi.org/10.18419/DARUS-3383, DaRUS, V1
The file contains a Unity project, which allows to test the desktop-based visualization techniques introduced in the Paper "Been there, Seen that: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments". It allows you to analyze 3D gaze and movement data sets recorded using the HoloLens 2. It provides you with a gaze replay... |
Jun 12, 2023 - EXC IntCDC Research Project 10 'Co-Design from Architectural, Social and Computational Perspectives'
Öney, Seyda; Pathmanathan, Nelusa; Becher, Michael; Sedlmair, Michael; Weiskopf, Daniel; Kurzhals, Kuno, 2023, "Replication Data for: Visual Gaze Labeling for Augmented Reality Studies", https://doi.org/10.18419/DARUS-3384, DaRUS, V1
This .zip file contains the Unity project of the visualization tool described in the paper "Visual Gaze Labeling for Augmented Reality Studies" which was accepted at EuroVis 2023 Conference. This tool can be used to annotate gaze data from Augmented Reality (AR) scenarios to perform AOI based eye-tracking analysis. The visualization tool consists o... |
Hirsch, Alexandra; Franke, Max; Koch, Steffen, 2023, "Source code for "Comparative Study on the Perception of Direction in Animated Map Transitions Using Different Map Projections"", https://doi.org/10.18419/DARUS-3540, DaRUS, V1
This repository contains the source code related to an OSF pre-registration for an online study. The goal of the study was to evaluate how well participants can determine the geographical direction of an animated map transition. In our between-subject online study, each of three groups is shown map transitions in one map projection: Mercator, azimu... |
