TY - GEN A1 - Cosfeld, Jörg T1 - Rapid Deployment of Hardware-Accelerated Vision AI Applications on the Xilinx Kria KV260 Platform T1 - Konzeption und Implementierung hardwarebeschleunigter Vision-KI-Systeme auf der Xilinx Kria KV260 Plattform N2 - This teaching-oriented paper presents a structured introduction to the deployment of hardware-accelerated vision AI applications on the Xilinx Kria KV260 platform. Rather than focusing on low-level hardware design, the material emphasises system integration, runtime configuration, and the interaction between software and reconfigurable logic within a modern heterogeneous embedded system. Using a pre-integrated smart camera application as a guiding example, the paper demonstrates how FPGA-based acceleration can be accessed through standard Linux tools, containerised execution environments, and network-based video streaming. The approach is specifically designed for higher education, enabling students to gain practical insight into adaptive computing platforms while maintaining a clear conceptual understanding of hardware–software co-design principles. N2 - Diese lehrorientierte Arbeit präsentiert eine strukturierte Einführung in die Implementierung hardwarebeschleunigter Vision-KI-Anwendungen auf der Xilinx Kria KV260 Plattform. Anstelle einer vertieften Betrachtung niederstufiger Hardwareentwurfsdetails liegt der Schwerpunkt auf Systemintegration, Laufzeitkonfiguration sowie der Interaktion zwischen Software und rekonfigurierbarer Logik innerhalb eines modernen heterogenen Embedded-Systems. Anhand einer vorintegrierten Smart-Camera-Applikation wird demonstriert, wie FPGA-basierte Beschleunigung über standardisierte Linux-Werkzeuge, containerisierte Ausführungsumgebungen und netzwerkbasiertes Video-Streaming zugänglich gemacht werden kann. Der gewählte Ansatz richtet sich insbesondere an den Einsatz in der Hochschullehre und ermöglicht Studierenden einen praxisnahen Zugang zu adaptiven Rechenplattformen, ohne dabei das konzeptionelle Verständnis der Prinzipien des Hardware-Software-Codesigns aus dem Blick zu verlieren. KW - Kria KV260 KW - FPGA acceleration KW - vision AI KW - heterogeneous computing KW - embedded Linux KW - hardware–software co-design KW - adaptive computing KW - PetaLinux KW - Vitis KW - Xilinx Runtime (XRT) Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-60815 PB - Hochschule Düsseldorf CY - Düsseldorf ER - TY - JOUR A1 - Yuwono, Steve A1 - Schwung, Dorothea A1 - Schwung, Andreas T1 - Automated leaders and followers selection in Stackelberg games for modular manufacturing systems JF - Journal of Intelligent Manufacturing N2 - 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. KW - Industrie 4.0 KW - Intelligente Fertigung KW - Automation KW - Optimierung KW - Stackelberg-Duopol Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-57990 SN - 0956-5515 PB - Springer Nature ER - TY - JOUR A1 - Jakab, Daniel A1 - Vázquez, Joel Herrera A1 - Barthel, Julian A1 - Honsbrok, Jan A1 - Deegan, Brian A1 - Mohandas, Reenu A1 - Brophy, Tim A1 - Scanlan, Anthony A1 - Ward, Enda A1 - Collins, Fiachra A1 - Eising, Ciarán A1 - Braun, Alexander T1 - SOLAS 1.1: Automotive Optical Simulation in Computer Vision (Early Access) JF - IEEE Open Journal of Vehicular Technology KW - Optical imaging KW - Optical distortion KW - Cameras KW - Lenses KW - Automotive engineering KW - Adaptive optics KW - Object detection KW - Computer vision KW - Optical sensors KW - Production Y1 - 2025 U6 - https://doi.org/10.1109/OJVT.2025.3640419 SN - 2644-1330 N1 - The supplemental material contains material to support the article. DOI:10.1109/OJVT.2025.3640419/mm1 SP - 1 EP - 16 PB - Institute of Electrical and Electronics Engineers ER - TY - CHAP A1 - Gottwald, Justus A1 - Engelbrecht, Michael A1 - Rieß, Bernhard M. ED - Schmidt, Lothar T1 - Coupling between traces and power planes in PCBs: How is it influenced and what are its consequences? T2 - MPC-Workshop Januar 2024 / Januar 2025 KW - Gedruckte Schaltung KW - Streifenleitung KW - Stromversorgung (Elektrotechnik) KW - Kopplung (Elektronik) KW - Kondensator KW - Interferenz (Physik) KW - Resonanz KW - Streumatrix (Elektrotechnik) Y1 - 2025 UR - https://www.mpc-gruppe.de/typo8/fileadmin/content/workshops-volums/MPC_068_01_Gottwald_Engelbrecht_Riess.pdf UR - https://www.mpc-gruppe.de/typo8/fileadmin/content/workshops-volums/MPC_067_068.pdf UR - https://nbn-resolving.org/urn:nbn:de:bsz:ofb1-opus4-110259 SN - 1868-9221 VL - 67/68; Bd. 67: Januar 2024 Karlsruhe, Bd. 68: Januar 2025 Düsseldorf SP - 37 EP - 46 PB - Technische Hochschule Ulm CY - Ulm ER - TY - CHAP A1 - Kersten, Thierry A1 - Haase, Thomas A1 - Riess, Bernhard M. ED - Schmidt, Lothar T1 - Evaluation of a new AI driven SoC Design Flow Approach T2 - MPC-Workshop Januar 2024 / Januar 2025 KW - Künstliche Intelligenz KW - Maschinelles Lernen KW - System-on-Chip KW - Design Y1 - 2025 UR - https://www.mpc-gruppe.de/typo8/fileadmin/content/workshops-volums/MPC_068_02_Kersten_Haase_Riess.pdf UR - https://www.mpc-gruppe.de/typo8/fileadmin/content/workshops-volums/MPC_067_068.pdf UR - https://nbn-resolving.org/urn:nbn:de:bsz:ofb1-opus4-110259 SN - 1868-9221 VL - 67/68 SP - 47 EP - 57 PB - Technische Hochschule Ulm CY - Ulm ER - TY - CHAP A1 - Echternacht, David A1 - Wirtz, Frank A1 - Dorendorf, Stefan A1 - Wilch, Michael A1 - Wienand, Marius A1 - Trunczik, Eileen T1 - A Fuzzy Logic Based Approach to Priority Determination for Smart Distribution Substations T2 - 2025 IEEE Kiel PowerTech, 29 June - 03 July 2025, Kiel KW - fuzzy logic KW - asset management KW - priority KW - smart secondary substations KW - distribution network Y1 - 2025 SN - 979-8-3315-4397-6 U6 - https://doi.org/10.1109/PowerTech59965.2025.11180606 SP - 1 EP - 6 PB - IEEE ER - TY - JOUR A1 - Yuwono, Steve A1 - Schwung, Andreas A1 - Schwung, Dorothea T1 - Integrating Deep Model-Based Learning With Modular State-Based Stackelberg Games for Self-Optimizing Distributed Production Systems JF - IEEE Transactions on Cybernetics KW - Intelligente Fertigung KW - Optimierung KW - Maschinelles Lernen KW - Deep Learning KW - Stackelberg-Duopol Y1 - 2025 U6 - https://doi.org/10.1109/TCYB.2025.3610707 SN - 2168-2267 PB - Institute of Electrical and Electronics Engineers (IEEE) ER - TY - JOUR A1 - Müller, Patrick A1 - Braun, Alexander A1 - Keuper, Margret T1 - Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models JF - IEEE Transactions on Pattern Analysis and Machine Intelligence KW - Optical imaging KW - Lenses KW - Robustness KW - Kernel KW - Optical sensors Y1 - 2025 U6 - https://doi.org/10.1109/TPAMI.2025.3622234 SN - 0162-8828 SP - 1 EP - 15 PB - IEEE ER - TY - GEN A1 - Aymann, Lars A1 - De Groodt, Luka A1 - Keller, Laurenz A1 - Könemund, Robin A1 - Lux, Tim A1 - Poroshin, Gleb A1 - Prgomet, Katarina A1 - Urquilla Perez, Jose Andres A1 - Yön, Harun ED - Neef, Matthias ED - Zielke, Thomas ED - Spiegel, Thomas ED - Söhnitz, Stefanie T1 - Proceedings of the HSD Student Engineering Conferences | Issue 1: Selected Papers from the Courses 2024/2025 T3 - Proceedings of the HSD Student Engineering Conferences - 2 Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-57144 SN - 2700-1857 CY - Düsseldorf ER - TY - INPR A1 - Yuwono, Steve A1 - Rana, Muhammad Uzair A1 - Schwung, Dorothea A1 - Schwung, Andreas T1 - Real Time Self-Tuning Adaptive Controllers on Temperature Control Loops using Event-based Game Theory T2 - arXiv N2 - This paper presents a novel method for enhancing the adaptability of Proportional-Integral-Derivative (PID) controllers in industrial systems using event-based dynamic game theory, which enables the PID controllers to self-learn, optimize, and fine-tune themselves. In contrast to conventional self-learning approaches, our proposed framework offers an event-driven control strategy and game-theoretic learning algorithms. The players collaborate with the PID controllers to dynamically adjust their gains in response to set point changes and disturbances. We provide a theoretical analysis showing sound convergence guarantees for the game given suitable stability ranges of the PID controlled loop. We further introduce an automatic boundary detection mechanism, which helps the players to find an optimal initialization of action spaces and significantly reduces the exploration time. The efficacy of this novel methodology is validated through its implementation in the temperature control loop of a printing press machine. Eventually, the outcomes of the proposed intelligent self-tuning PID controllers are highly promising, particularly in terms of reducing overshoot and settling time. KW - Intelligente Fertigung KW - Automation KW - Spieltheorie KW - PID-Regler KW - Temperaturregelung Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-55462 CY - arXiv ET - v1 ER -