TY - INPR A1 - Yuwono, Steve A1 - Schwung, Dorothea A1 - Schwung, Andreas T1 - Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems N2 - This article describes a novel game structure for autonomously optimizing decentralized manufacturing systems with multi-objective optimization challenges, namely Distributed Stackelberg Strategies in State-Based Potential Games (DS2-SbPG). DS2-SbPG integrates potential games and Stackelberg games, which improves the cooperative trade-off capabilities of potential games and the multi-objective optimization handling by Stackelberg games. Notably, all training procedures remain conducted in a fully distributed manner. DS2-SbPG offers a promising solution to finding optimal trade-offs between objectives by eliminating the complexities of setting up combined objective optimization functions for individual players in self- learning domains, particularly in real-world industrial settings with diverse and numerous objectives between the sub-systems. We further prove that DS2-SbPG constitutes a dynamic potential game that results in corresponding converge guarantees. Experimental validation conducted on a laboratory-scale testbed highlights the efficacy of DS2-SbPG and its two variants, such as DS2-SbPG for single-leader-follower and Stack DS2-SbPG for multi-leader-follower. The results show significant reductions in power consumption and improvements in overall performance, which signals the potential of DS2-SbPG in real-world applications. KW - Maschinelles Lernen KW - Produktionssystem KW - Spieltheorie KW - Optimierung Y1 - 2024 U6 - https://doi.org/10.48550/arXiv.2408.06397 PB - arXiv ER - TY - CHAP A1 - Versümer, Siegbert A1 - Blättermann, Patrick T1 - Predicting real indoor soundscapes based on auditory and non-auditory factors across different loudness ranges with linear and nonlinear models T2 - INTER-NOISE and NOISE-CON Congress and Conference Proceedings, Conference Proceeding 8, 4 October 2024 KW - Soundscape KW - Lautstärke KW - Psychoakustik Y1 - 2024 U6 - https://doi.org/10.3397/IN_2024_3386 SP - 3882 EP - 3892 PB - Institute of Noise Control Engineering ER - TY - JOUR A1 - Nehr, Sascha A1 - Baus, Lukas A1 - Çınar, Hasan A1 - Elsen, Ingo A1 - Frauenrath, Tobias T1 - Indoor environmental quality assessment in passively ventilated classrooms in Germany and estimation of ventilation energy losses JF - Journal of Building Engineering KW - Indoor air quality KW - Indoor environmental quality KW - Energy-efficient ventilation KW - CO2 KW - PM2.5 KW - TVOC KW - Passive ventilation KW - Luftreinhaltung Y1 - 2024 U6 - https://doi.org/10.1016/j.jobe.2024.110937 SN - 2352-7102 VL - 97 PB - Elsevier ER - TY - JOUR A1 - Geerkens, Simon A1 - Sieberichs, Christian A1 - Braun, Alexander A1 - Waschulzik, Thomas T1 - QI²: an interactive tool for data quality assurance JF - AI and Ethics N2 - The importance of high data quality is increasing with the growing impact and distribution of ML systems and big data. Also, the planned AI Act from the European commission defines challenging legal requirements for data quality especially for the market introduction of safety relevant ML systems. In this paper, we introduce a novel approach that supports the data quality assurance process of multiple data quality aspects. This approach enables the verification of quantitative data quality requirements. The concept and benefits are introduced and explained on small example data sets. How the method is applied is demonstrated on the well-known MNIST data set based an handwritten digits. KW - Performance metrics KW - HSD Publikationsfonds KW - DEAL KW - DFG Publikationskosten KW - Machine learning KW - Quality assurance KW - Data integrity KW - Data quality Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-42945 SN - 2730-5961 N1 - Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 532148125 and supported by the central publication fund of Hochschule Düsseldorf University of Applied Sciences VL - 4 SP - 141 EP - 149 PB - Springer Nature ER - TY - JOUR A1 - Sieberichs, Christian A1 - Geerkens, Simon A1 - Braun, Alexander A1 - Waschulzik, Thomas T1 - ECS: an interactive tool for data quality assurance JF - AI and Ethics N2 - With the increasing capabilities of machine learning systems and their potential use in safety-critical systems, ensuring high-quality data is becoming increasingly important. In this paper, we present a novel approach for the assurance of data quality. For this purpose, the mathematical basics are first discussed and the approach is presented using multiple examples. This results in the detection of data points with potentially harmful properties for the use in safety-critical systems. KW - DEAL KW - HSD Publikationsfonds KW - Data visulization KW - Distance based KW - Data quality assurance KW - Equivalence class sets KW - DFG Publikationskosten Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-42908 SN - 2730-5961 N1 - Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 532148125 and supported by the central publication fund of Hochschule Düsseldorf University of Applied Sciences VL - 4 SP - 131 EP - 139 PB - Springer Nature ER - TY - JOUR A1 - Deckert, Carsten A1 - Schomaker, Rahel M. A1 - Remmler, Julian T1 - Kollektivismus, Familismus und ­Nepotismus: Der Einfluss der Intensität von Verwandtschaftsbeziehungen auf die nationale Innovationfähigkeit JF - Der Betriebswirt Y1 - 2024 U6 - https://doi.org/10.3790/dbw.2024.1461504 SN - 2628-7846 VL - 65 IS - 2 SP - 93 EP - 106 PB - Duncker & Humblot ER - TY - JOUR A1 - Carslaw, Nicola A1 - Bekö, Gabriel A1 - Langer, Sarka A1 - Schoemaecker, Coralie A1 - Mihucz, Victor G. A1 - Dudzinska, Marzenna A1 - Wiesen, Peter A1 - Nehr, Sascha A1 - Huttunen, Kati A1 - Querol, Xavier A1 - Shaw, David T1 - A new framework for indoor air chemistry measurements: Towards a better understanding of indoor air pollution JF - Indoor Environments KW - Indoor air quality KW - INDAIRPOLLNET KW - EU COST Action KW - Indoor air chemistry KW - Luftreinhaltung Y1 - 2024 U6 - https://doi.org/10.1016/j.indenv.2023.100001 SN - 2950-3620 VL - 1 IS - 1 PB - Elsevier ER - TY - JOUR A1 - von Berg, Markus A1 - Himmelein, Hendrik A1 - Steffens, Jochen T1 - Effects of noise sensitivity and listening effort on perceptual ratings of background noise JF - JASA Express Letters N2 - Previous research suggests that noise sensitivity is related to inefficient auditory processing that might increase the mental load of noise and affect noise evaluation. This assumption was tested in an experiment using a dual-task paradigm with a visual primary task and an auditory secondary task. Results showed that participants' noise sensitivity was positively correlated with mental effort. Furthermore, mental effort mediated the effect of noise sensitivity on loudness and unpleasantness ratings. The results thus support the idea that noise sensitivity is related to increased mental effort and difficulties in filtering auditory information and that situational factors should be considered. KW - noise sensitivity KW - listening effort KW - Geräuschempfindlichkeit KW - Höranstrengung KW - HSD Publikationsfonds KW - DFG Publikationskosten Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-45747 SN - 2691-1191 N1 - Funding: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) – 532148125 und durch den zentralen Publikationsfonds der Hochschule Düsseldorf University of Applied Sciences. VL - 8 IS - 4 PB - AIP Publishing ER - TY - RPRT A1 - Failing, Luisa A1 - Kaluza, Stefan A1 - Strucks, Peter T1 - Power2Gas - Katalytische Methanisierung von CO₂ als Baustein einer erfolgreichen Energie- und Rohstoffwende N2 - Die katalytische Methanisierung von Kohlendioxid (CO2) mit Hilfe von elektrolytisch erzeugtem Wasserstoff (H2) aus erneuerbaren Energiequellen kann einen wichtigen Beitrag zur Reduktion von CO2-Emissionen leisten. Aufgrund einer immer stärker fluktuierenden Energie- und Rohstoffbereitstellung spielt die Möglichkeit einer flexiblen, dynamischen Betriebsweise eine zunehmend große Rolle für zukünftige Technologien. Dies bedingt auch im Fall der katalytischen Methanisierung umfangreiche Untersuchungen, um zu ermitteln, inwieweit eine dynamische Fahrweise Auswirkungen auf Prozess und Katalysator besitzt. An diesem Punkt setzte das HiFF-Projekt Power2Gas an. So wurden verschiedene nickelbasierte Katalysatorsysteme synthetisiert, wobei sich der via Imprägnierung hergestellte Ni/Al2O3-Katalysator sowohl aufgrund seiner guten Leistung als auch der praktikablen und reproduzierbaren Herstellung als geeignetes Benchmark-System für weitere Untersuchungen - vor allem im kinetischen Bereich - erwies. Während umfassender Parametervariationen wurden kinetische Datensätze im stationären Zustand bestimmt, die zur Modellierung der katalysierten CO2-Methanisierung verwendet werden können. Darüber hinaus wurden in ausgewählten Versuchsreihen die isotherme Temperaturkontrolle und eine ausreichende Langzeitstabilität sichergestellt sowie makrokinetische Diffusionsbeschränkungen ausgeschlossen. Die Ergebnisse wurden in einer peer-review-Publikation veröffentlicht und auf zwei Konferenzen präsentiert. Sie waren zudem die Basis für eine erfolgreiche Masterarbeit und flossen in die Antragstellung im Rahmen des DFG-Programms „Großgeräteaktion für Hochschulen für Angewandte Wissenschaften“ ein. N2 - The catalytic methanation of carbon dioxide (CO2) using electrolytically produced hydrogen (H2) from renewable energy sources represents a potential option for reducing CO2 emissions. Due to an increasingly fluctuating availability of energy and raw materials, the need for flexible, dynamic operation is becoming ever more crucial for future technologies. In the case of catalytic methanation, this also requires further investigations to determine the impact of dynamic operation on the process and catalysts. This is where the HiFF Power2Gas project comes in. Various nickel-based catalyst systems were synthesized. The Ni/Al2O3 catalyst produced via impregnation was identified as a suitable benchmark system for further investigations - particularly in the kinetic range - due to its good performance as well as its simple and reproducible synthesis. By thorough parameter variation, kinetic data sets were determined in steady state, which can be used to model catalyzed CO2 methanation. In addition, isothermal temperature control and long-term stability were ensured in a series of selected experiments, while macro-kinetic diffusion limitations could be ruled out. The results were published in a peer-reviewed publication and presented at two conferences. They were also fundamental for a successful master's thesis and were used in an application for the DFG program "Großgeräteaktion für Hochschulen für Angewandte Wissenschaften". T3 - Berichte zu HSD-intern geförderten Forschungsprojekten - 4 KW - Dekarbonisierung KW - Dynamische Betriebsweise KW - Nickel-Katalysator KW - Deaktivierung KW - Power-to-X KW - CO₂ Methanisierung Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-45143 SN - 2625-3690 CY - Düsseldorf ER - TY - JOUR A1 - Jakab, Daniel A1 - Braun, Alexander A1 - Agnew, Cathaoir A1 - Mohandas, Reenu A1 - Deegan, Brian Michael A1 - Molloy, Dara A1 - Ward, Enda A1 - Scanlan, Anthony A1 - Eising, Ciarán T1 - SS-SFR: synthetic scenes spatial frequency response on Virtual KITTI and degraded automotive simulations for object detection JF - IET Conference Proceedings Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-50080 SN - 2732-4494 VL - 2024 IS - 10 SP - 110 EP - 117 PB - Institution of Engineering and Technology (IET) ER -