Ostwestfalen-Lippe University of Applied Sciences and Arts
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Parameter identification related to vertical dynamic of a self-stabilizing monorail vehicle
No full textCurrently, numerous single-track railway lines are disused due to economic reasons. However, one way they could be reactivated for a bidirectional on-demand service traffic by small vehicles that use only one rail. MONOCABs are such small cabin-like vehicles, stabilized by a system of control moment gyroscopes and a trim mass. They could make an important contribution to improve the mobility offer especially in rural areas. Regarding the MONOCAB, there is currently no reference in comparison with other vehicles. It is mandatory to gain experience before transferring such a new vehicle concept into commercial operation. Especially the safe and robust commissioning of the stabilization control system is crucial and therefore requires an elaborated procedure. At this step, parameters related to the vertical dynamics have to be determined beforehand. This paper presents a comparative investigation of methods to estimate the moment of inertia and gravitational torque constant. Multiple methods in time-domain and frequency-domain are experimentally evaluated and compared with each other. Experimental tests are carried out with a full-scale monorail vehicle
Bauraumbezogene Untersuchung der Schadensmechanismen von Steckverbindern aus Automobilen nach Langzeitbetrieb
No full textModel-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture
No full textCombining NLP, speech recognition, and indexing. An AI-based learning assistant for higher education
No full textThis paper presents the ongoing development of HAnS (Hochschul-Assistenz-System), an Intelligent Tutoring System (ITS) designed to support self-directed digital learning in higher education. Initiated by twelve collaborating German universities and research institutes, HAnS is developed 2021–2025 with the goal of utilizing artificial intelligence (AI) and Big Data in academic settings to enhance technology-based learning. The system employs AI for speech recognition and the indexing of existing learning resources, enabling users to search and compile these materials based on various parameters. Here, we provide an overview of the project, showcasing how iterative design and development processes contribute to innovative educational research in the evolving field of AI-based ITS in higher education. Notwithstanding the potential of HAnS, we also deliberate upon the challenges associated with ensuring a suitable dataset for training the AI, refining complex algorithms for personalization, and maintaining data privacy.In diesem Beitrag wird die laufende Entwicklung von HAnS (Hochschul-Assistenz-System) vorgestellt, einem Intelligenten Tutoring-System (ITS), das selbstgesteuertes digitales Lernen in der Hochschulbildung unterstützen soll. HAnS wurde von zwölf deutschen Hochschulen und Forschungsinstituten initiiert und wird 2021-2025 mit dem Ziel entwickelt, künstliche Intelligenz (KI) und Big Data im akademischen Umfeld zu nutzen, um technologiebasiertes Lernen zu verbessern. Das System nutzt KI für die Spracherkennung und die Indizierung vorhandener Lernressourcen und ermöglicht es den Nutzern, diese Materialien auf der Grundlage verschiedener Parameter zu suchen und zusammenzustellen. Hier geben wir einen Überblick über das Projekt und zeigen, wie iterative Design- und Entwicklungsprozesse zu innovativer Bildungsforschung auf dem sich entwickelnden Gebiet der KI-basierten ITS in der Hochschulbildung beitragen. Ungeachtet des Potenzials von HAnS gehen wir auch auf die Herausforderungen ein, die mit der Sicherstellung eines geeigneten Datensatzes für das Training der KI, der Verfeinerung komplexer Algorithmen für die Personalisierung und der Wahrung des Datenschutzes verbunden sind
Estimation of Natural Ventilation Rates in an Office Room with 145 mm-Diameter Circular Openings Using the Occupant-Generated Tracer-Gas Method
No full textNatural ventilation in a building is an effective way to achieve acceptable indoor air quality. Ventilation dilutes contaminants such as bioeffluents generated by occupants, substances emitted from building materials, and the water vapor generated by occupants’ activities. In a building that requires heating and cooling, adequate ventilation is crucial to minimize energy consumption while maintaining healthy indoor air quality. However, measuring the actual magnitude of the natural ventilation rate, including infiltration through the building envelope and airflow through the building openings, is not always feasible. Although international and national standards suggested the required ventilation rates to maintain acceptable indoor air quality in buildings, they did not offer action plans to achieve or evaluate those design ventilation rates in buildings in use. In this study, the occupant-generated carbon dioxide (CO2) tracer gas decay method was applied to estimate the ventilation rates in an office room in Seoul, South Korea, from summer to winter. Using the method, real-time ventilation rates can be calculated by monitoring indoor and outdoor CO2 concentrations without injecting a tracer gas. For natural ventilation in the test room, 145 mm-diameter circular openings on the fixed glass were used. As a result, first, the indoor CO2 concentrations were used as an indicator to evaluate how much the indoor air quality deteriorated when all the windows were closed in an occupied office room compared to the international standards for indoor air quality. Moreover, we found out that the estimated ventilation rates varied depending on various environmental conditions, even with the same openings for natural ventilation. Considering the indoor and outdoor temperature differences and outdoor wind speeds as the main factors influencing the ventilation rates, we analyzed how they affected the ventilation rates in the different seasons of South Korea. When the wind speeds were calm, less than 2 m/s, the temperature difference played as a factor that influenced the estimated ventilation rates. On the other hand, when the temperature differences were low, less than 3 °C, the wind speed was the primary factor. This study raises awareness about the risk of poor indoor air quality in office rooms that could lead to health problems or unpleasant working environments. This study presents an example of estimating the ventilation rates in an existing building. By using the presented method, the ventilation rate in an existing building can be simply estimated while using the building as usual, and appropriate ventilation strategies for the building can be determined to maintain the desired indoor air quality
Berufsausbildung digital mit Mehrwert FeDiNAR — ein virtueller Sandkasten, um aus Fehlern zu lernen!
No full textIn einem Forschungsprojekt unter wissenschaftlicher Führung der RWTH Aachen University und der TH Ostwestfalen-Lippe wird das FeDiNAR-System entwickelt. Die Abkürzung steht für: Fehler didaktisch nutzbar machen mit AR
Die Wirkung von Printmedien als Filmrequisite
Get PDFIm theoretischen Teil dieser Bachelorarbeit wird untersucht, wie Printmedien in ihrer einfachsten Form den Film und die Rezipienten beeinflussen. Es wird analysiert, wie Printmedien entstehen und wie sie als Filmrequisiten eingesetzt werden können. Durch einige Filmbeispiele und eine Analyse der His-torie der Printmedien wurde nicht nur die Wirkung der Objek-te dargelegt, sondern auch die Wichtigkeit in verschiedenen Zusammenhängen erklärt. Die Printrequisite dient als be-stärkendes Objekt des Schauspielenden, sowie als Leitobjekt der Geschichte.
Zusammenhängen erklärt. Die Printrequisite dient als bestärkendes Objekt des Schauspielenden, sowie als Leitobjekt der Geschichte