Hochschulbibliothekszentrum des Landes Nordrhein-Westfalen

Institutionelles Repositorium der Hochschule Düsseldorf
Not a member yet
    4344 research outputs found

    Evaluation of a new AI driven SoC Design Flow Approach

    No full text

    UmwG § 43 (aufgehoben) [Kommentar]

    No full text

    Development and Evaluation of an Immersive Virtual Reality Application for Road Crossing Training in Older Adults

    No full text
    Background/Objectives: Aging is often accompanied by physical and cognitive decline, affecting older adults’ mobility. Virtual reality (VR) offers innovative opportunities to safely practice everyday tasks, such as street crossing. This study was designed as a feasibility and pilot study to explore acceptance, usability, and preliminary effects of a VR-based road-crossing intervention for older adults. It investigates the use of virtual reality (VR) as an innovative training tool to support senior citizens in safely navigating everyday challenges such as crossing roads. By providing an immersive environment with realistic traffic scenarios, VR enables participants to practice in a safe and controlled setting, minimizing the risks associated with real-world road traffic. Methods: A VR training application called “Wegfest” was developed to facilitate targeted road-crossing practice. The application simulates various scenarios commonly encountered by older adults, such as crossing busy streets or waiting at traffic lights. The study applied a single-group pre-post design. Outcomes included the Timed Up and Go test (TUG), Falls Efficacy Scale-International (FES-I), and Montreal Cognitive Assessment (MoCA). Results: The development process of “Wegfest” demonstrates how a highly realistic street environment can be created for VR-based road-crossing training. Significant improvements were found in the Timed Up and Go test (p = 0.002, d = 0.784) and fall-related self-efficacy (FES-I, p = 0.005). No change was observed in cognitive function (MoCA, p = 0.56). Participants reported increased subjective safety (p < 0.001). Discussion: The development of the VR training application “Wegfest” highlights the feasibility of creating realistic virtual environments for skill development. By leveraging immersive technology, both physical and cognitive skills required for road-crossing can be effectively trained. The findings suggest that “Wegfest” has the potential to enhance the mobility and safety of older adults in road traffic through immersive experiences and targeted training interventions. Conclusions: As an innovative training tool, the VR application not only provides an engaging and enjoyable learning environment but also fosters self-confidence and independence among older adults in traffic settings. Regular training within the virtual world enables senior citizens to continuously refine their skills, ultimately improving their quality of life

    Qualität in Ganztagsgrundschulen – neue empirische Erkenntnisse

    No full text
    Die vorliegende Studie untersucht den Einfluss und die Effekte der pädagogische Prozessqualität im Ganztag (Autonomie, Interesse und Beziehungsqualität) auf das schulische Wohlbefinden von 800 Drittklässler*innen an 31 Düsseldorfer Grundschulen im Rahmen des Projekts „Zukunft des Ganztags an Düsseldorfer Grundschulen“. Ergebnisse zeigen, dass die sozialräumliche Verortung der Schulen (gemessen über den Sozialindex NRW) keinen Einfluss auf die Prozessqualität im Ganztag (gemessen über Autonomie, das Interesse an Ganztagsangeboten und der Beziehung zu Betreuungspersonen) hat. Vertiefende Mehrebenenanalysen zeigen, dass insbesondere das Interesse an den Ganztagsangeboten und die Beziehungsqualität signifikant zum schulischen Wohlbefinden beitragen, während die Autonomie keinen signifikanten Einfluss aufweist. Mädchen zeigten ein höheres Interesse an Ganztagsangeboten als Jungen. Ein höherer Sozialindex ist mit geringerem Wohlbefinden assoziiert. Diese Ergebnisse unterstreichen die zentrale Bedeutung des Sozialraums und der Prozessqualität für das Wohlbefinden der Schüler*innen im Ganztag

    Automated leaders and followers selection in Stackelberg games for modular manufacturing systems

    No full text
    We propose an automated data-driven mechanism to evaluate each actuator’s influence on modular manufacturing system objectives. This mechanism enables automated leader and follower selection in Stackelberg games, which have gained traction in engineering. While leaders typically hold greater priority or influence, systematic methods for assigning leaders and followers remain limited, especially in large-scale applications. As a result, many rely on empirical analysis to assign leaders and followers, without confirming if the selected setup is optimal. Therefore, in this paper, we develop an automated mechanism to evaluate the influence of each player on the global objectives of modular manufacturing systems, applicable to both single- and multi-objective scenarios. We validate the proposed approach within an industrial control scenario, using a modular Bulk Good System and its larger-scale arrangement with sequential and serial-parallel processes. We focus on three objectives, including production flow disruption prevention, power consumption reduction, and production demand fulfilment. Finally, we implement a self-learning algorithm utilizing Modular State-based Stackelberg Games, where leaders and followers are selected using our approach, which leads to encouraging results

    Making a Home in Stuttgart: Mit Leontjew, Wygotski und Engeström Aneignung Jugendlicher in der Stuttgarter Innenstadt verstehen

    No full text

    Zum Gebrauchswert von Digitalisierungsprojekten – die Perspektive der Nutzer*innen

    No full text

    26

    full texts

    4,344

    metadata records
    Updated in last 30 days.
    Institutionelles Repositorium der Hochschule Düsseldorf
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇