21 to 30 of 276 Results
Nov 30, 2022 - Perceptual User Interfaces
Bulling, Andreas, 2022, "MPIIMobileAttention", https://doi.org/10.18419/darus-3285, DaRUS, V1
This is a novel long-term dataset of everyday mobile phone interactions, continuously recorded from 20 participants engaged in common activities on a university campus over 4.5 hours each (more than 90 hours in total). |
Nov 30, 2022 - Perceptual User Interfaces
Bulling, Andreas, 2022, "MPIIPrivacEye", https://doi.org/10.18419/darus-3286, DaRUS, V1
First-person video dataset recorded in daily life situations of 17 participants, annotated by themselves for privacy sensitivity. The dataset of Steil et al. contains more than 90 hours of data recorded continuously from 20 participants (six females, aged 22-31) over more than fo... |
Nov 30, 2022 - Architectures and Middleware @IAAS
Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan, 2022, "Quality Assurance Forms for Grey Literature Studies Supporting Cross-chain Smart Contract Invocations", https://doi.org/10.18419/darus-3283, DaRUS, V1
Forms that estimate the quality of candidate grey literature studies to be included in the multi-vocal literature review entitled, "Cross-Chain Smart Contract Invocations: A Systematic Multi-Vocal Literature Review". |
Nov 30, 2022 - Architectures and Middleware @IAAS
Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan, 2022, "Selection, Data Extraction, and Data Synthesis for Cross-chain Smart Contract Invocation Approaches", https://doi.org/10.18419/darus-3282, DaRUS, V1
This document contains information about: All the studies that were initially accepted for inclusion in the Multi-vocal Systematic Literature review. The studies that were rejected in the second phase and the reasons for their rejection. Filled out data extraction form for the fi... |
Nov 30, 2022 - Architectures and Middleware @IAAS
Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan, 2022, "Qualitative Visual Analysis of Cross-chain Smart Contract Invocation Approaches", https://doi.org/10.18419/darus-3281, DaRUS, V1
This document demonstrates the visual qualitative analysis performed over the approaches systematically selected for inclusion in the study entitled, "Cross-Chain Smart Contract Invocations: A Systematic Multi-Vocal Literature Review". |
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 processi... |
Schmitt, Syn, 2022, "demoa-base: a biophysics simulator for muscle-driven motion", https://doi.org/10.18419/darus-2550, DaRUS, V4
For more information, such as installation, requirements and user guide, please see the demoa-manual.pdf |
Nov 25, 2022Institute for Architecture for Application Systems
Dataverse for all research projects related to software architecture or cloud computing of the Institute of Architecture of Application Systems (IAAS) |
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. Thi... |
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. |
