Elektronik und Informatik
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Two-Level Classification of Chronic Stress Using Machine Learning on Resting-State EEG Recordings
(2020)
As the size of software program code bases in software development projects increases, insight into and comprehension of their underlying dependency structures presents a challenge for programmers. The increasing availability of virtual reality (VR) systems brings VR-based visualization of program code structures into practical reach for software developers and could support program comprehension and insight. However, the complete visual immersion with VR presents a cognitive burden and potential distractions. Applying gamification to such a VR visualization capability has hitherto been insufficiently investigated as to its potential motivation and program comprehension factors. This paper describes and evaluates a VR digital gamification approach for program code called VR Gamified Immersion in Software structures (VR-GaImS), which applies digital gamification to a multi-metaphor VR visualization of software program structures. The results of a preliminary empirical investigation utilizing our prototype indicate its potential to increase enjoyment and motivation, focus attention, and encourage the exploration of software structures.
Synchronization and Control of Modular AC- and DC-Sided Parallel-Connected Three-Level NPC Inverters
(2018)
Production processes in Industry 4.0 settings are usually highly automated. However, many complicated tasks, such as machine maintenance, must be executed by human workers. In current smart factories, such tasks can be supported by Augmented Reality (AR) devices. These AR tasks rely on high numbers of contextual factors like live data from machines or work safety conditions and are mostly not well integrated into the global production process. This can lead to various problems like suboptimal task assignment, over-exposure of workers to hazards like noise or heat, or delays in the production process. Current Business Process Management (BPM) Systems (BPMS) are not capable of readily taking such factors into account. There- fore, this contribution proposes a novel approach for context- integrated modeling and execution of processes with AR tasks. Our practical evaluations show that our AR Process Framework can be easily integrated with prevalent BPMS. Furthermore, we have created a comprehensive simulation scenario and our findings suggest that the application of this system can lead to various benefits, like better quality of AR task execution and cost savings regarding the overall Industry 4.0 processes.
Statistische Versuchsplanung
(2021)
Speichereinsatz versus Netzausbau - Methoden der Bürgerkommunikation am Beispiel des Projekts NEOS
(2020)