661 to 670 of 1,838 Results
Nov 30, 2022 - Architectures and Middleware @IAAS
Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan, 2022, "Cross-chain Smart Contract Invocations - a Multi-vocal Literature Review Protocol", https://doi.org/10.18419/DARUS-3280, DaRUS, V1
This document introduces the protocol that describes how a Multivocal Literature Review (MLR) regarding Cross-chain Smart Contract Invocation (CCSCI) was planned to be conducted. The main purpose of having this protocol is to avoid bias when selecting primary sources and processing them. Furthermore, it helped co-authors gain an overview of the top... |
Nov 21, 2022 - SFB-TRR 161 D04 "Quantitative Aspects of Immersive Analytics for the Life Sciences"
Klein, Karsten; Garkov, Dimitar; Rütschlin, Sina; Böttcher, Thomas; Schreiber, Falk, 2022, "QSDB - a graphical Quorum Sensing Database: VANTED add-on source code", https://doi.org/10.18419/DARUS-3242, DaRUS, V1
The add-on had been designed for the VANTED framework and used to create QSDB Database's collection of clickable networks. Each network is laid out according to SBGN standards, showing quorum sensing and quorum quenching interactions between organisms and signaling molecules. This data set constitutes the source code of the add-on, developed to vis... |
Nov 17, 2022 - Udeco-EyeGaze
Aspandi Latif, Decky, 2022, "Website Screenshot to Eye-Gaze", https://doi.org/10.18419/DARUS-3251, DaRUS, V1
This dataset contains unified datasets that consist of two pre-processed datasets of Gaze-Mining and Contrastive-Website to allow for the development of Machine Learning based model Eye-Gaze location predictions using Website Screenshot Input. |
Nov 10, 2022 - C03: Modelling of material injection processes into porous structures applied to vertebroplasty
Trivedi, Zubin; Gehweiler, Dominic; Wychowaniec, Jacek; Ricken, Tim; Gueorguiev, Boyko; Wagner, Arndt; Röhrle, Oliver, 2022, "Data for: A continuum mechanical porous media model for simulating vertebroplasty: Numerical simulations and experimental validation", https://doi.org/10.18419/DARUS-3146, DaRUS, V1, UNF:6:9AGAVPHk+q5ZPvv1MtUtuQ== [fileUNF]
This dataset includes experiment and simulation data used in the research described in the paper "A continuum mechanical porous media model for simulating vertebroplasty: Numerical simulations and experimental validation". The following data is included in the dataset: Experimentally measured data: “rheology_viscosity_time.csv”: This file contains... |
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... |
