Digital Library of Gesellschaft für Informatik e.V.
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Digitale Kompetenz im Projektmanagement: Ein Kompetenzstrukturmodell für das digital strukturierte Projektmanagement
No full textDie digitale Transformation verändert das Projektmanagement grundlegend. Diese Studie untersucht, welche digitalen Kompetenzen Projektmanager*innen im Kontext externer IT- und Unternehmensberatung benötigen. Auf Basis qualitativer Daten wurden ein Kompetenzstrukturmodell entwickelt und sieben zentrale Kompetenzbereiche identifiziert, u.a. digitale Führung, Wissensmanagement und Toolkompetenz. Das Modell bietet eine Grundlage für die gezielte Kompetenzentwicklung in der Projektarbeit
Normalization Refinement for Occluded Gait Recognition
No full textGait recognition is a biometric technology that identifies individuals based on their walking posture and motion. It has significant potential for applications such as criminal investigations and security systems. In silhouette-based gait recognition, silhouette normalization is a key component that enhances recognition accuracy. However, in scenarios where partial occlusions frequently occur, normalization can sometimes negatively affect recognition performance due to inappropriate adjustments. To address this issue, we propose a normalization refinement network based on spatial transformer networks, designed to mitigate the adverse effects of improper normalization. To validate the effectiveness of our method, we apply it to multiple gait recognition models and evaluate its performance under various occlusion scenarios using the OU-MVLP dataset. Experimental results demonstrate that our approach improves recognition accuracy across different occlusion conditions and multiple recognition models
Interoperability From OpenTelemetry to Kieker: Demonstrated as Export from the Astronomy Shop
No full textThe observability framework Kieker provides a range of analysis capabilities, but it is currently only able to instrument a smaller selection of languages and technologies, including Java, C, Fortran, and Python. The OpenTelemetry standard aims for providing reference implementations for most programming languages, including C# and JavaScript, that are currently not supported by Kieker. In this work, we describe how to transform OpenTelemetry tracing data into the Kieker framework. Thereby, it becomes possible to create for example call trees from OpenTelemetry instrumentations. We demonstrate the usability of our approach by visualizing trace data of the Astronomy Shop, which is an OpenTelemetry demo application
Co-Located VR with Hybrid SLAM-based HMD Tracking and Motion Capture Synchronization
No full textWe introduce a multi-user VR co-location framework that synchronizes users within a shared virtual environment aligned to physical space. Our approach combines a motion capture system with SLAM-based inside-out tracking to deliver smooth, high-framerate, low-latency performance. Previous methods either rely on continuous external tracking, which introduces latency and jitter, or on one-time calibration, which cannot correct drift over time. In contrast, our approach combines the responsiveness of local HMD SLAM tracking with the flexibility to realign to an external source when needed. It also supports real-time pose sharing across devices, ensuring consistent spatial alignment and engagement between users. Our evaluation demonstrates that our framework achieves the spatial accuracy required for natural multi-user interaction while offering improved comfort, scalability, and robustness over existing co-located VR solutions
Embodiment of a Butterfly in a Virtual Environment
No full textThis study explores the concept of virtual embodiment through the perspective of a butterfly in a virtual reality (VR) environment. Prior research has investigated embodiment with human and non-human avatars, but has largely neglected flying creatures. Also, most research in this area also does not compare VR and screen output. To address this gap, we developed an interactive VR application that allows users to explore a natural environment from the perspective of a butterfly. The same application was created for common screens in order to provide the mentioned comparison of VR and traditional displays. We conducted a survey, using the Virtual Embodiment Questionnaire, Small-Self Awe Measure and Igroup Presence Questionnaire. The results show that participants in the VR condition reported higher average scores across most measures, although the differences were not statistically significant. Specifically, participants of the VR group felt more like they were embodying a butterfly. On average, the VR group achieved a 9.64% higher score for embodiment than the control group. Furthermore, they also achieved a 9,6% higher score for the feeling of awe of nature. These findings suggest that VR has potential to enhance non-human embodiment and evoke feelings of awe and presence
Network Navigation with Online Delays is PSPACE-complete
No full textIn public transport networks disruptions may occur and lead to travel delays. It is thus interest- ing to determine whether a traveler can be resilient to delays that occur unexpectedly, ensuring that they can reach their destination in time regardless. We model this as a game between the traveler and a delay-introducing adversary. We study the computational complexity of the problem of deciding whether the traveler has a winning strategy in this game. Our main result is that this problem is PSPACE-complete
Benchmarking Requirement Template Systems
No full textOur publication 2024 in the Requirements Engineering Journal concerns the multiple semi-formal syntax templates for natural language requirements, that foster to reduce ambiguity while preserving readability. Yet, existing studies on their effectiveness do not allow to systematically investigate quality benefits and compare different notations. Extending previous work, we strive for a comparative benchmark and evaluation of template systems to support practitioners in selecting template systems and enable researchers to work on pinpoint improvements and domain-specific adaptions. We conduct experiments with five popular template systems—EARS, Adv-EARS, Boilerplates, MASTER, and SPIDER. First, we compare a control group of free-text requirements and treatment groups of their variants following the different templates. Second, we compare MASTER and EARS in user experiments for reading and writing. Third, we analyse all five meta-models’ formality and ontological expressiveness based on the Bunge-Wand-Weber (BWW) reference ontology. It shows that templates can generally improve various quality factors compared to free text. Although MASTER leads the field, there is no conclusive favourite choice, as most effect sizes are relatively similar
Public preference for alternative farming systems: balancing environmental protection, automated technologies, and price settings
No full textSocietal and political pressures for environmental protection, biodiversity preservation and reduced pesticide use are challenging agriculture. Integrating digital farming technologies offers a promising pathway toward more sustainable and efficient food production systems. However, the successful adoption of these innovative concepts hinges on both farmers’ and consumers’ acceptance of food commodities produced in different farming systems. A discrete choice experiment explores German public preferences for environmental aspects regarding biodiversity, soil erosion and the use of chemical pesticides in combination with different uses of agricultural machinery, the type and size of field management. Results show preferences for reduced pesticide use and soil erosion despite higher consumer prices and acceptance of strip intercropping production systems. While manned tractor usage is preferred over robots, it can be assumed that there is general openness to technological innovations in farming when addressing its positive environmental influence
Analyse und Optimierung eines Transformer-basierten Objekterkennungsmodells hinsichtlich der CO2-Emissionen
No full textDieses Paper beschäftigt sich mit den Umweltauswirkungen während des Trainings eines Transformer-basierten Objekterkennungsmodells. In Experimenten werden die Auswirkungen von verschiedenen Änderungen der Modellarchitektur auf die CO2eq -Emissionen untersucht. Nach der Durchführung werden die Ergebnisse analysiert. Dabei konnten einfache Möglichkeiten zu der Reduktion der Umweltauswirkungen bei gleichbleibender Performance gefunden werden. Bei dem finalen Modell konnte durch die Anpassungen eine Stromersparnis von 16,6% erzielt werden. Für die Umsetzung der Arbeit wurde, während der 330 Stunden des Trainings, 30,72 kgCO2eq ausgestoßen