@thesis{Gross2024, author = {Groß, Anna-Lena}, title = {Positionierung und Vermarktung von regionalem Schweinefleisch anhand der Initiative „Sauguad".}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-48513}, pages = {III, 87}, year = {2024}, abstract = {In der Abschlussarbeit wird das Thema der Vermarktung und Positionierung von regionalen Produkten anhand der Schweinefleisch Initiative "Sauguad" bearbeitet.}, language = {de} } @phdthesis{Schoen2013, author = {Sch{\"o}n, Torsten}, title = {Physarum Learner: A Novel Structure Learning Algorithm for Bayesian Networks inspired by Physarum Polycephalum}, publisher = {Universit{\"a}t Regensburg}, address = {Regensburg}, pages = {148}, school = {Universit{\"a}t Regensburg}, year = {2013}, language = {en} } @inproceedings{Bienert2024, author = {Bienert, Joerg}, title = {Extension of Linear Systems by Fractional Derivatives}, booktitle = {Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024), Volume 2}, editor = {Rainieri, Carlo and Gentile, Carmelo and L{\´o}pez Aenlle, Manuel}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-61425-5}, doi = {https://doi.org/10.1007/978-3-031-61425-5_42}, pages = {432 -- 442}, year = {2024}, language = {en} } @unpublished{AubrevilleGanzAmmelingetal.2024, author = {Aubreville, Marc and Ganz, Jonathan and Ammeling, Jonas and Kaltenecker, Christopher C. and Bertram, Christof}, title = {Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis}, publisher = {arXiv}, address = {Ithaca}, doi = {https://doi.org/10.48550/arXiv.2404.07676}, year = {2024}, abstract = {The QUILT-1M dataset is the first openly available dataset containing images harvested from various online sources. While it provides a huge data variety, the image quality and composition is highly heterogeneous, impacting its utility for text-conditional image synthesis. We propose an automatic pipeline that provides predictions of the most common impurities within the images, e.g., visibility of narrators, desktop environment and pathology software, or text within the image. Additionally, we propose to use semantic alignment filtering of the image-text pairs. Our findings demonstrate that by rigorously filtering the dataset, there is a substantial enhancement of image fidelity in text-to-image tasks.}, language = {en} } @inproceedings{WinterBockHoosetal.2024, author = {Winter, Michael and Bock, J{\"u}rgen and Hoos, Johannes and Klausmann, Tobias and Schnebel, Boris and Schmitt, Siwara and Simon, Marco and Stolze, Melanie and Vieira da Silva, Luis Miguel and Kleinert, Tobias}, title = {Methods to Describe, Assign and Derive Capabilities from the Capability, Skill and Service (CSS) Model}, booktitle = {18. Fachtagung, EKA 2024, Entwurf komplexer Automatisierungssysteme, Beschreibungsmittel, Methoden, Werkzeuge und Anwendungen}, editor = {Jumar, Ulrich and Diedrich, Christian}, publisher = {Institut f{\"u}r Automation und Kommunikation}, address = {Magdeburg}, doi = {http://dx.doi.org/10.25673/116039}, year = {2024}, abstract = {For the use of the CSS model, workflows are needed to describe, assign and derive capabilities. This contribution provides a Capability Determining method that encompasses the three underlying technology-independent methods to guide stakeholders in describing, assigning and deriving capabilities for manufacturing. The first underlying method, Describing Capabilities, describes a workflow for the formal semantic description of capabilities. The workflow for assigning capabilities to a production resource is explained using the second method Assigning Capability. In the last workflow, capabilities are derived from production specification or a process description using the method Deriving Capability.}, language = {en} } @article{WilhelmGollaSchindlerWoehrletal.2024, author = {Wilhelm, Gudrun and Golla-Schindler, Ute and W{\"o}hrl, Katharina and Geisbauer, Christian and Cooke, Graham and Bernthaler, Timo and Schweiger, Hans-Georg and Schneider, Gerhard}, title = {Influence of Water on Aging Phenomena of Calendric Stored and Cycled Li-Ion Batteries}, volume = {4}, journal = {Nanoenergy Advances}, number = {2}, publisher = {MDPI}, address = {Basel}, issn = {2673-706X}, doi = {https://doi.org/10.3390/nanoenergyadv4020011}, pages = {174 -- 195}, year = {2024}, abstract = {We examine the impact of water (160 ± 41 ppm of reference) on the anode, cathode, separator and electrolyte in two aging scenarios: calendric aging (60 °C, 80 days, charged state), resulting in a triggered current interrupt device (CID), and cycling 1680 times (charge/discharge with 1C, 2.75-4.2 V, 20 ± 2 °C), resulting in 24.5\% residual capacity. We applied computer tomography (CT), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS) and secondary ion mass spectrometry (SIMS) to understand the capacity loss. The aged NMC/LCO-graphite cells were compared to a reference cell in pristine state. Both aging scenarios showed (a) thick depositions on the anode and cathode consisting mainly of oxygen, fluorine and phosphorous, (b) reduced separator pore sizes, (c) the deposition of Mn, Co and Ni on top of the anode and (d) the decomposition of the conductive salt LiPF6 accompanied by HF formation and a loss of active lithium. Calendric aging consumes the water content and additionally leads to (e) the decomposition of the organic solvent followed by CO2 gas formation. Cyclic aging increases the water content and additionally results in (f) the consumption of the additive fluoroethylene carbonate (FEC). These findings show how water affects aging phenomena and results in a capacity decrease in the cell.}, language = {en} } @article{ViewegerDielSchweigeretal.2024, author = {Vieweger, Daniel and Diel, Sergej and Schweiger, Hans-Georg and Tetzlaff, Ulrich}, title = {Mechanical Properties of Raw Filaments and Printed Specimens: Effects of Fiber Reinforcements and Process Parameters}, volume = {16}, pages = {1576}, journal = {Polymers}, number = {11}, publisher = {MDPI}, address = {Basel}, issn = {2073-4360}, doi = {https://doi.org/10.3390/polym16111576}, year = {2024}, abstract = {Fused Deposition Modeling (FDM) is a well-established manufacturing method for producing both prototype and functional components. This study investigates the mechanical properties of FDM components by material and process-related influencing variables. Tensile tests were conducted on seven different materials in their raw filament form, two of which were fiber-reinforced, to analyze their material-related influence. To cover a wide range from standard to advanced materials relevant for load-carrying components as well as their respective variations, polylactic acid (PLA), 30\% wood-fiber-reinforced PLA, acrylonitrile butadiene styrene (ABS), polycarbonate (PC), a blend of ABS and PC, Nylon, and 30\% glass-fiber-reinforced Nylon were selected. The process-related influencing variables were studied using the following process parameters: layer thickness, nozzle diameter, build orientation, nozzle temperature, infill density and pattern, and raster angle. The first test series revealed that the addition of wood fibers significantly worsened the mechanical behavior of PLA due to the lack of fiber bonding to the matrix and significant pore formation. The polymer blend of ABS and PC only showed improvements in stiffness. Significant strength and stiffness improvements were found by embedding glass fibers in Nylon, despite partially poor fiber-matrix bonding. The materials with the best properties were selected for the process parameter analysis. When examining the impact of layer thickness on part strength, a clear correlation was evident. Smaller layer thicknesses resulted in higher strength, while stiffness did not appear to be affected. Conversely, larger nozzle diameters and lower nozzle temperatures only positively impacted stiffness, with little effect on strength. The part orientation did alter the fracture behavior of the test specimens. Although an on-edge orientation resulted in higher stiffness, it failed at lower stresses. Higher infill densities and infill patterns aligned with the load direction led to the best mechanical results. The raster angle had a significant impact on the behavior of the printed bodies. An alternating raster angle resulted in lower strengths and stiffness compared to a unidirectional raster angle. However, it also caused significant stretching due to the rotation of the beads.}, language = {en} } @article{AgricolaBierwischPalmetal.2024, author = {Agricola, Barbara and Bierwisch, Claas and Palm, Frank and J{\"a}gle, Eric A. and Kerschenlohr, Annegret}, title = {Parameter study of an Al-Cr-Mo-Sc-Zr alloy processed by laser powder bed fusion reaching high build rates}, journal = {Progress in Additive Manufacturing}, publisher = {Springer}, address = {Cham}, issn = {2363-9520}, doi = {https://doi.org/10.1007/s40964-024-00627-8}, year = {2024}, abstract = {Market availability of aluminum alloys for laser powder bed fusion (L-PBF) is still highly limited in comparison to conventional manufacturing processes. The demand for high-strength but inexpensive alloys specifically designed for L-PBF is high. This demand has led to research on a variety of adapted conventional alloys which are still limited to utilize the full potential of L-PBF. Scalmalloy® (Al-Mg-Sc-Zr) satisfies the demand for high-strength L-PBF-alloys but needs a high energy input and has troubles with evaporation of Mg. Scancromal® (Al-Cr-Sc-Zr) is a novel alloying system for L-PBF and was first introduced in 2019 with the possibility of higher build rates and comparable strengths to Scalmalloy®. In this paper, a more economic low Sc-containing version of Scancromal® is presented. A parameter study was performed for 100 μm layer thickness reaching high build rates of about 47 cm3 h-1 . Hardness tests for different parameters were carried out and showed a stable process window with a hardness comparable to AlSi10Mg. Additionally, two-dimensional multilayer process simulations showed a potential for increasing the layer thickness to 150 μm and therefore a significant increase in build rate of up to 70 cm3 h-1 highlighting the high productivity potential of Al-Cr alloys for L-PBF.}, language = {en} } @article{MeessGernerHeinetal.2024, author = {Meess, Henri and Gerner, Jeremias and Hein, Daniel and Schmidtner, Stefanie and Elger, Gordon and Bogenberger, Klaus}, title = {First steps towards real-world traffic signal control optimisation by reinforcement learning}, journal = {Journal of Simulation}, publisher = {Taylor \& Francis}, address = {London}, issn = {1747-7778}, doi = {https://doi.org/10.1080/17477778.2024.2364715}, year = {2024}, abstract = {Enhancing traffic signal optimisation has the potential to improve urban traffic flow without the need for expensive infrastructure modifications. While reinforcement learning (RL) techniques have demonstrated their effectiveness in simulations, their real-world implementation is still a challenge. Real-world systems need to be developed that guarantee a deployable action definition for real traffic systems while prioritising safety constraints and robust policies. This paper introduces a method to overcome this challenge by introducing a novel action definition that optimises parameter-level control programmes designed by traffic engineers. The complete proposed framework consists of a traffic situation estimation, a feature extractor, and a system that enables training on estimates of real-world traffic situations. Further multimodal optimisation, scalability, and continuous training after deployment could be achieved. The first simulative tests using this action definition show an average improvement of more than 20\% in traffic flow compared to the baseline - the corresponding pre-optimised real-world control.}, language = {en} } @unpublished{BurghofSinha2002, author = {Burghof, Hans-Peter and Sinha, Tanja}, title = {Value at Risk with Informed Traders, Herding, and the Optimal Structure of Trading Divisions}, titleParent = {SSRN}, publisher = {Elsevier}, address = {Amsterdam}, doi = {https://dx.doi.org/10.2139/ssrn.302116}, year = {2002}, language = {en} }