DyCA - Dynamical Component Analysis: Theory and Applications
Uhl, Christian (2024)
Physics Colloquium, Department of Pysics in partnership with Center of Complex Systems, Florida Atlantic University, Boca Raton, Florida, USA.
Bedarf an digitaler Lehrkräftefortbildung aus der Perspektive von Landesinstituten
Ortwig, Julia; Breins, B; Quarda, Ann-Kathrin; Gläser-Zikuda, Michaela; Kammerl, Rudolf; Bastian, Jasmin; Händel, Marion (2024)
Ortwig, Julia; Breins, B; Quarda, Ann-Kathrin; Gläser-Zikuda, Michaela; Kammerl, Rudolf...
lernen:digital-Tagung „Digitale Transformation für Schule und die Lehrkräftebildung gestalten“ in Potsdam.
Peer Reviewed
Ideation: Die Qualität von menschengenerierten und KI-generierten Ideen im Vergleich
Joosten, J; Bilgram, Volker; Hahn, A; Klug, Katharina; Totzek, , D. (2024)
transfer - Zeitschrift für Kommunikation und Markenmanagement 2024 (4), 100-105.
Peer Reviewed
Supporting the Identification of Natural Sounds in Ecoacoustic Soundscapes through Spectrogram-based Analysis Methods
Pöpel, Cornelius; Edler, Bernd; Popp, Jana (2024)
IEEE 5th International Symposium on the Internet of Sounds (IS2) 2024, 1-9.
DOI: 10.1109/IS262782.2024.10704212
Peer Reviewed
Optimizing Intercultural Trainings using Social Robots
Garg, Ritam (2024)
Sino-German Research Network of Management Sciences Conference on: ‘Digital Transformation in China and Germany: Strategies, Structures, and Solutions for Ageing Societies’ 23-25.09.2024, Bayreuth Germany.
Aufbruch beim DFB? Wahrnehmung und Erwartungshaltung 100 relevanter Stakeholder
Wiske, Jana (2024)
Jahrestagung der DGPuK-Fachgruppe Mediensport und Sportkommunikation in Hamburg.
Peer Reviewed
Motiviert zum Erfolg testen? Motivation als Moderator und abhängige Variable von Testeffekten im Lehramtsstudium
Naujoks-Schober, Nick ; Harder, Bettina; Dresel, Markus; Händel, Marion (2024)
53. Konferenz der Deutschen Gesellschaft für Psychologie (DGPs) in Wien, Österreich.
Peer Reviewed
OPTOkopter - a flying anemometer and Application of OPTOkopter measurements in research projects WINDbreaks and WINDforest
Thielicke, William; Buchele, Alexander (2024)
20 Jahre Windenergieforschung und Ausbildung, Stuttgarter Lehrstuhl für Windenergie (SWE), Uni Stuttgart 2024.
Unraveling the reciprocal effects of monitoring strategies and monitoring judgments
Händel, Marion; Nett, Ulrike; Bryce, Donna; Dresel, Markus (2024)
Paper presented at the biennial meeting of the EARLI Special Interest Group 16 – Metacognition. Heidelberg.
Peer Reviewed
Ways to foster monitoring accuracy: Effects of generative interventions on self-regulated learning (Discussant)
Händel, Marion (2024)
Symposium at the biennial meeting of the EARLI Special Interest Group 16 – Metacognition.
Peer Reviewed
Tolerances in Mechanisms
Husch, Julia; Walter, Michael S. J. (2024)
Research in Tolerancing 2024, 65-99.
DOI: 10.1007/978-3-031-64225-8_4
Peer Reviewed
In this chapter, an overview is given of the research work during the years 2007 until 2016 in the field of tolerance analysis, optimization and synthesis of mechanisms ([11] and [17]). At the beginning, the challenges related to mechanisms are highlighted, especially the time-dependent behaviour of a mechanism during its operation and the different kinds of deviation occuring during the production and the operation of the mechanism. After that, the integrated approach for the statistical tolerance analysis of mechanisms is described. This approach is then enlarged to a complete tolerance analysis, optimization and synthesis approach before its applicability is demonstrated in a case study. The chapter will end with a summary.
Implementierung eines Smart Grids in ein betriebsunabhängiges Simulationsmodell
Stromberger, Julian; Dettelbacher, Johannes; Buchele, Alexander (2024)
Tagungsband Langbeiträge ASIM SST 2024,
27. ASIM Symposium Simulationstechnik, 4.9.-6.9.2024, Universität der Bundeswehr München 2024, 61-65.
DOI: 10.11128/arep.47.a4734
Open Access Peer Reviewed
Diese Studie beschreibt die Entwicklung eines betriebsunabhängigen Simulationsmodells für elektrifizierte Druckgießereien, die ihren Energiebedarf mit Hilfe eines Smart Grid Systems decken. Das Modell verwendet reale Wetter- und Börsenstrompreisdaten für den Simulationszeitraum. Mit Hilfe des Modells können die Stromkosten für eine Produktion zu einem bestimmten Zeitpunkt (Tages- und Jahreszeit) sowie die Wirtschaftlichkeit verschiedener PV-Anlagen- und Stromspeichervarianten ermittelt und verglichen werden. Zudem ermöglicht es die Untersuchung des Anteils der verschiedenen Energieträger für die jeweilige Konfiguration. Dies kann mit Hilfe des Modells für Standorte in ganz Deutschland durchgeführt werden. Darüber hinaus werden in dieser Arbeit beispielhafte Simulationsstudien vorgestellt, die den breiten Anwendungsbereich des Modells aufzeigen. Aus den Ergebnissen kann ein erster Überblick über Einsparungs- und Optimierungsmöglichkeiten gewonnen werden. Perspektivisch stellt das Modell eine Grundlage dar, um mittels simulationsgestützter Optimierung optimale Anlagenlayouts und Produktionszeitpunkte zu ermitteln.
Fingernails, tattoos, and iconic photos: Personal branding at the 2024 Olympics
Wiske, Jana (2024)
Olympic and Paralympic Analysis 2024.
Open Access
A novel approach on artificial aging of nylon 12 powder for laser powder bed fusion
Vendittoli, Valentina; Polini, Wilma; Walter, Michael S. J.; Stacheder, Jakob Paco Cornelius (2024)
Vendittoli, Valentina; Polini, Wilma; Walter, Michael S. J....
Rapid Prototyping Journal 2024 (9), 30 | 1836-1845.
DOI: 10.1108/RPJ-12-2023-0430
Peer Reviewed
Purpose - This study aims to address challenges in the Laser Powder Bed Fusion process of polymers, focusing on the considerable amount of unsintered powder left post-printing. The objective is to understand the altered properties of this powder and find solutions to improve the process, reduce waste, and explore reusing reprocessed powder.
Design/methodology/approach - A novel methodology is employed to generate reprocessed powder without traditional printing, reducing time, cost, and waste. The approach mimics the aging effects during the printing process, providing insights into particle size distribution and thermal behavior.
Findings - Results reveal insights into artificial aging, showing an 8.2% decrease in particle size (60.256 - 69.183 μm) and a 9.1% increase in particle size (17.378 - 19.953 μm) compared to unsintered powder. Thermal behavior closely mirrors used powders, with variations in enthalpy of fusion (-0.55% to 2.69%) and degree of crystallinity (0.19% to 2.64%). The proposed methodology produces results that differ from those due to printing under 3% from a thermal point of view. The
new process reduces the time needed for aged powder, contributing to cost savings and waste reduction.
Originality/value - The study introduces a novel method for reprocessed powder generation, deviating from traditional printing. The originality lies in artificially aging powders, providing comparable results to actual printing. This approach offers efficiency, time savings, and waste reduction in the Laser Powder Bed Fusion process, presenting a valuable avenue for further research.
Inference Optimizations for Large Language Models: Effects, Challenges, and Practical Considerations
Donisch, Leo; Schacht, Sigurd; Lanquillon, Carsten (2024)
Arxiv.
DOI: 10.48550/arXiv.2408.03130
Open Access
An approach to optimize inference of the DIART speaker diarization pipeline
Aperdannier, Roman; Schacht, Sigurd; Piazza, Alexander (2024)
Arxiv.
DOI: 10.48550/arXiv.2408.02341
Open Access
Toward a Digital Empathy Framework: Evaluating User Experience Research Methods
Joosten, J; Hahn, A; Klug, Katharina; Riedmüller, Florian; Totzek, , D. (2024)
Marketing Review St. Gallen 4, 80-87.
Peer Reviewed
Cost Function Approach for Dynamical Component Analysis: Full Recovery of Mixing and State Matrix
Hüper, Knut; Schlarb, Markus; Uhl, Christian (2024)
Automation 2024, 5(3) | 360-372.
DOI: 10.3390/automation5030022
Open Access Peer Reviewed
A reformulation of the dynamical component analysis (DyCA) via an
optimization-free approach is presented. The original cost function
approach is converted into a numerical linear algebra problem, i.e., the
computation of coupled singular-value decompositions. A simple
algorithm is presented together with numerical experiments to document
the feasability of the approach. This methodology is able to recover the
mixing and state matrices of multivariate signals from high-dimensional
measured data fully.
Ansbacher Kaleidoskop 2024 - Festschrift zum 60. Geburtstag von Prof. Dr. Ute Ambrosius und Prof. Dr. Barbara Hedderich
Gollisch, Simon; Gröner, Patrick (2024)
Ansbacher Kaleidoskop 2024, Shaker-Verlag, Aachen 2024.
Systematic Evaluation of Online Speaker Diarization Systems Regarding their Latency
Aperdannier, Roman; Schacht, Sigurd; Piazza, Alexander (2024)
Arxiv.
DOI: 10.48550/arXiv.2407.04293
Open Access
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