Publikationsserver der Ostbayerischen Technischen Hochschule Regensburg
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Einfluss studierendenzentrierter Lehrelemente auf die Entwicklung von Zukunftskompetenzen bei Studierenden
To Model, to Prompt, or to Code? The Choice Is Yours: A Multi-Paradigmatic Approach to Software Development
This paper considers three fundamental approaches to software development, namely manual coding, model-driven software engineering, and code generation by large language models. All of these approaches have their individual pros and cons, motivating the desire for an integrated approach. We present MoProCo, a technical solution to integrate the three approaches into a single tool chain, allowing the developer to split a software engineering task into modeling, prompting or coding sub-tasks. From a single input file consisting of static model structure, natural language prompts and/or source code fragments, Java source code is generated using a two-stage approach. A case study demonstrates that the MoProCo approach combines the desirable properties of the three development approaches by offering the appropriate level of abstraction, determinism, and dynamism for each specific software engineering sub-task
GFDG: a genetic fuzzing method for the Controller Area Network Protocol
Ensuring the security of modern automotive systems is critical due to their increasing complexity and reliance on interconnected Electronic Control Units. The Controller Area Network still serves as a key communication protocol within these systems, making it a primary target for security testing. Traditional fuzz testing approaches for Controller Area Networks often rely on random or brute-force message generation, not leveraging the system’s feedback to improve the generation process. This paper introduces the Genetic Fuzz Data Generator, a fuzzing method that leverages Genetic Algorithms and side-channel analysis to enhance Controller Area Network security testing. The Genetic Fuzz Data Generator dynamically refines its fuzzing strategy by evaluating system responses through side-channel data, such as processing unit temperatures and power supply variations. By structuring Controller Area Network messages as genetic individuals and applying evolutionary principles—including selection, crossover, and mutation—the Genetic Fuzz Data Generator systematically identifies active Controller Area Network IDs and generates targeted fuzz messages. Experimental validation was conducted on a real automotive electronic control unit within a controlled laboratory setup. The first results demonstrated the approach’s effectiveness, revealing system anomalies, including a Denial of Service vulnerability that disrupted functions of the investigated Electronic Control Unit. The findings highlight the potential of feedback-driven fuzzing for improving the efficiency of black-box security testing in Controller Area Network-based systems. Future research could further optimize fitness functions or explore
additional side-channel metrics
Angehörige als Ressource im Prozess soziotechnischer Transformation in ambulanter Therapie und Pflege : Ergebnisse einer Feldstudie zur Akzeptanz von Telepräsenzsystemen
Die Implementation digitaler Technologien wird im Spannungsfeld von demographischem Wandel, fortschreitender Digitalisierung und zunehmendem Fachkräftemangel im Gesundheitssystem mit hohen Erwartungen verknüpft. Im Rahmen eines empirischen Forschungsprojektes wurden die Machbarkeit und die Wirkung von logopädischer und physiotherapeutischer Teletherapie sowie von Telenursing-Anwendungen bei Schlaganfallpatient*innen evaluiert, die über telepräsenzgestützte digitale Assistenzsysteme im häuslichen Bereich durchgeführt wurden. Die sozialwissenschaftliche Begleitforschung hatte die Aufgabe, die Akzeptanz und die Nutzungsbereitschaft der eingesetzten Technologie zu analysieren sowie die Auswirkungen aufzuzeigen, die der Einsatz der Geräte im ethischen, rechtlichen und sozialen Kontext mit sich bringen kann. Der vorliegende Beitrag basiert auf den Daten und Ergebnissen dieser Akzeptanzforschung und analysiert die Interaktion von Menschen in ihren Rollen als Patient*in oder Angehörige von Patient*innen mit Technologie. Die Ergebnisse beleuchten die Relevanz der Angehörigen für diese Interaktionen und zeigen, warum ihre Einbeziehung im Rahmen soziotechnischer Transformationen im Bereich ambulanter Therapie und Pflege so wichtig ist
Calibration and Performance Evaluation of Contactless Optical Position Sensors Based on 3D Printed Optical Waveguides
This work presents the design, implementation, and performance evaluation of a positionsensing system based on a 3D printed optical waveguide. Building upon the conceptual foundation of D-shaped polymer optical fiber (POF) sensors [1], this study introduces a novel waveguide structure fabricated via multi-material fused filament fabrication (FFF) 3D printing. The waveguide incorporates a square-core geometry with integrated mechanical brackets and selective black cladding layer to enhance optical confinement and minimize boundary-induced nonlinearity.
Three successive design iterations were developed and evaluated, with each version refined based on calibration results and structural observations. The final version demonstrated high fabrication stability and improved optical behavior, enabling consistent calibration across multiple samples. Using a center-corrected linear attenuation model, the position of a side-coupled LED was estimated from dual photodiode signals and compared with true light source position. The measurement results for five independently printed waveguides show mean absolute errors
below 0.2 mm and standard deviations as low as 0.268 mm. The sensor response was found to be highly linear over the 5–55 mm sensing range, with worst-case errors bounded within ±1.7 mm. Compared with traditional D-shaped POF sensors, where performance is limited by manual polishing variability and nonuniform attenuation, the 3D-printed approach offers superior linearity, submillimeter accuracy, and batch-to-batch reproducibility. These findings prove
the feasibility of 3D-printed optical waveguides in scalable and precise position sensing applications, marking a further step toward the batch fabrication and and potential industrialization of contactless optical position sensors. A conclusion of the research findings and suggestions for future improvements were provided at the end of this thesis, offering insights for the further development in this area
Paradoxes, tensions and challenges in decentering the human : re-examining concepts, practices, methods and artifacts in More-Than-Human-Design
In recent years, More-Than-Human-Design (MTHD) has gained traction in HCI, as exemplified by a growing body of workshops and publications. As this nascent field progresses, unresolved conceptual and practical methodological challenges continue to surface. It is time for MTHD researchers to critically revisit underlying assumptions, concepts and processes that shape their work. This one-day workshop invites the DIS community to engage in two key areas: a critical discussion on anthropocentrism, a core yet multifaceted concept in MTHD, and the presentation of practical work that either reveals paradoxes within MTHD – concerning how to decenter humans and how to engage with more-than-human actors – or explores constructive ways to navigate these paradoxes. Through mapping and discussing the challenges, we aim to identify patterns and shared concerns. The workshop will culminate in an open-ended Archive of Tensions, accessible via the workshop website, serving as a collective resource for ongoing reflection and inquiry. Furthermore, the Archive will be presented in an online event and the results will be published as an article
Peer-to-peer support in Aphasia: the participants’ perspective on the digital network PeerPAL
Background: Aphasia can affect health-related quality of life (HRQL), identity, and social participation. Peer contact can have a positive impact on all three aspects. However, there are barriers to the available offers (e.g., professional guidance), whereas a digital solution enables autonomous peer contact. Therefore, we developed and evaluated a customized application for autonomous, asynchronous peer contact that encourages social activities and interaction. The qualitative evaluation in this study includes evaluation of the application and psychosocial changes during the intervention. Quantitative data are published elsewhere. Method: We conducted interviews with 11 people with aphasia who had participated in our pre–post mixed-methods study. The interviews were analyzed using thematic analysis guided by a codebook. Results: Responses were categorized into use and evaluation of the application (three themes) and psychosocial changes during the intervention (four themes). Most interviewees reported that they would like to use the application in the future. The benefits of peer contact, digital exchange, and, thereby, social activities were positively highlighted. Moreover, there are indications of improvements in HRQL and a change in identity. Negative aspects included a lack of feedback from other participants, too few peers in the geographical area, and missing features and bugs in the application. Discussion/Conclusions: The application is suitable for establishing peer contact, which can lead to psychosocial improvements. It remains to be analyzed who benefits most from the application and at what phase of aphasia. Time since onset, social environment, and previous peer contact should be considered. In the future, a larger sample should be analyzed
Systematik zur planungsbegleitenden Simulation bei der Konzeptplanung von Produktionssystemen – ein Anwendungsfall aus der Elektrolysestack-Produktion
Simulation can support early-stage production system planning by enabling
efficient evaluation of concept variants. However, detailed models are often
impractical in concept phases due to limited data and high modelling effort. This paper presents a structured three-stage simulation approach for supporting the concept planning of water electrolyzer stack production systems . The approach leverages automatic model generation from formal process descriptions and gradually increases model detail across stages, carried out through a custom-developed simulation framework. This enables early validation of the throughput capability, resource planning, and the analysis of stochastically occurring technical malfunction. The method aims to reduce planning time while improving decision quality