Hochschule Konstanz University of Applied Sciences
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Jahresbericht 2024
Full text linkEin Rückblick auf das akademische Jahr
Berichtszeitraum: 1.9.2023 - 31.8.202
A study of the validity of Oppenheim's inequality for Hurwitz matrices associated with Hurwitz polynomials
No full textIn this paper, Hurwitz polynomials, i.e., real polynomials whose roots are located in the open left half of the complex plane, and their associated Hurwitz matrices are considered. New formulae for the principal minors of Hurwitz matrices are presented which lead to: (i) a new criterion for deciding whether a polynomial is Hurwitz, (ii) an inequality of a type of Oppenheim's inequality for the Hurwitz matrices up to order 6, and (iii) a necessary and sufficient condition for the Hadamard square root of Hurwitz polynomials of degree five to be Hurwitz
Sustainability Management in Industrial Companies
No full textIndustrial companies have numerous avenues for implementing sustainability innovations, which can significantly reduce the negative ecological impact of their activities. In this context, a variety of options for action and types of innovation are available to companies at different system levels. These range from innovations in the material and energy flows used for processing, procedural and product innovations, through to comprehensive organisational and functional innovations at the consumer and user level. There are numerous interdependencies between the different levels and types of innovation
Partizipation im Fokus
Full text linkIn Zeiten tiefgreifender Herausforderungen für alle Bildungsinstitutionen und Hochschulen kann ein gemeinsames Leitbild der Lehre und des Lernens Orientierung bieten und einen richtungsweisenden Beitrag zur Lehr- und Lernkultur leisten. Wirkung entfalten Leitbilder aber nur dann, wenn alle davon betroffenen Akteure die Chance haben, sich daran zu beteiligen und auch (für sich selbst) erkennbar beitragen können. Der vorgestellte Leitbild-Lehre-Prozess beschreibt, wie dies gelingen kann und an der HTWG Konstanz durchgeführt wurde
How inverse conditional flows can serve as a substitute for distributional regression
No full textNeural network representations of simple models, such as linear regression, are being studied increasingly to better understand the underlying principles of deep learning algorithms. However, neural representations of distributional regression models, such as the Cox model, have received little attention so far.We close this gap by proposing a framework for distributional regression using inverse flow transformations (DRIFT), which includes neural representations of the aforementioned models. We empirically demonstrate that the neural representations of models in DRIFT can serve as a substitute for their classical statistical counterparts in several applications involving continuous, ordered, timeseries, and survival outcomes. We confirm that models in DRIFT empirically match the performance of several statistical methods in terms of estimation of partial effects, prediction, and aleatoric uncertainty quantification. DRIFT covers both interpretable statistical models and flexible neural networks opening up new avenues in both statistical modeling and deep learning
Forschung und Transfer Jahresbericht 2023
Full text linkÜbersicht über Drittmitteleinnahmen im Bereich Forschung und Transfer sowie wissenschaftliche Publikationen inkl. abgeschlossener Promotionen
Taktplanung und Taktsteuerung im Hotelbau
Full text linkDer reibungslose Ablauf von konventionellen Bauprojekten ist durch eine Vielzahl von Herausforderungen beeinträchtigt. Geprägt von Ineffizienz, Personalmangel und fehlender Kommunikation befinden sich Bauprojekte oftmals mitten in einem Hindernislauf.
Die vorliegende Arbeit vergleicht die konventionellen Bauablaufmethoden mit der Lean Construction Methode ‚Taktplanung und Taktsteuerung‘ (TPTS) anhand des Ausbaus einer Hoteletage. Die TPTS wird angewendet, um den Bauablauf zu standardisieren und die damit verbundenen Vorteile aufzuzeigen. Zu Beginn werden die konventionellen Bauablaufmethoden der bereits ausgebauten Hoteletage analysiert. Dabei werden zahlreiche Hindernisse im Balkenterminplan identifiziert, die eine effektive Koordination während des Bauablaufs behindern. Anschließend wird ein Taktplan gemäß den Prinzipien und Vorgehensweisen der Lean Construction für die Hoteletage erstellt. In persönlichen Gesprächen mit Experten werden Verbesserungsvorschläge aufgenommen, die der Optimierung des Taktplan dienen. Durch geeignete Anpassungsmechanismen soll der Bauablauf gesteuert werden können.
Der Vergleich verdeutlicht, dass die TPTS zahlreiche Vorteile in mehreren betrachteten Faktoren aufweist. Abschließend werden die Erkenntnisse und Vorteile aus dem Vergleich in einer Handlungsempfehlung zusammengefasst
Runtime Optimization in Interacting Multiple Model Filtering with Down-Sampling and Out-of-Sequence Measurements
No full textInteracting multiple model filters are most commonly used in the context of maneuvering targets, as they can represent the different dynamics of a real system by combining the estimates of multiple models. However, the interacting multiple model approach generally requires more computational effort than a single Kalman filter. In this work, down-sampling is used to reduce the computational effort. We propose an adaptive scheme to maintain the accuracy of the estimator to a defined level. To this end, the trace of the innovation covariance matrix is evaluated, and if it lies above a certain threshold, out-of-sequence measurements are iteratively used to improve the estimate until the uncertainty threshold is met. The approach is evaluated by Monte Carlo analysis. The results show that with this approach, the number of measurements to be processed, and thus the computational effort can be dynamically reduced, while the accuracy remains at a desired level
Identification of Behavioural Driving Risks from Physiological Stress
No full textDriving behaviour is a critical factor in accidents today. Physiological factors have a significant impact on driving behaviour. A potential solution lies in vehicle services that benefit from sensing environmental conditions to improve road safety, such as collision avoidance routines in driver assistance systems. Stress, assessed subjectively or physiologically, influences decision making and behaviour, with implications for individuals and the economy. In this paper we present a novel approach to formulate a risk index by combining data from subjective self-reports and objective physiological measures (in particular heart rate). The model identifies stress tendencies in driving behaviour by monitoring behavioural and physiological markers. We present our evaluation results and explore potential ways to implement the model in vehicle systems and its implications for improving road safety. We discuss potential enhancements to improve driving safety and enable timely responses in situations with an increased risk of accidents due to stress or drowsiness
ChatGPT Sammelrezension
No full textRezensierte Publikationen:
Wolfram, Stephen: What Is ChatGPT Doing ... and Why Does It Work? Wolfram Media, 2023. – ISBN 978-1-57955-081-3, 112 Seiten
Rieck, Christian: Schummeln mit ChatGPT. Texte verfassen mit künstlicher Intelligenz für Schule, Uni und Beruf. München: Yes, 2023. – ISBN 978-3-96905-247-1, 192 Seite