@article{60899,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Social insects such as ants and termites communicate via pheromones which allow them to coordinate their activity and solve complex tasks as a swarm, e.g. foraging for food or finding their way back to the nest. This behavior was shaped through evolutionary processes over millions of years. In computational models, self-coordination in swarms has been implemented using probabilistic or pre-defined simple action rules to shape the decision of each agent and the collective behavior. However, manual tuned decision rules may limit the emergent behavior of the swarm. In this work we investigate the emergence of self-coordination and communication in evolved swarms without defining any explicit rule. For this purpose, we evolve a swarm of agents representing an ant colony. We use an evolutionary algorithm to optimize a spiking neural network (SNN) which serves as an artificial brain to control the behavior of each agent. The goal of the evolved colony is to find optimal ways to forage for food and return it to the nest in the shortest amount of time. In the evolutionary phase, the ants are able to learn to collaborate by depositing pheromone near food piles and near the nest to guide other ants. The pheromone usage is not manually encoded into the network; instead, this behavior is established through the optimization procedure. We observe that pheromone-based communication enables the ants to perform better in comparison to colonies where communication via pheromone did not emerge. Furthermore, we assess the foraging performance of the ant colonies by comparing the SNN-based model to a multi-agent rule-based system. Our results show that the SNN-based model can efficiently complete the foraging task in a short amount of time. Our approach illustrates that even in the absence of pre-defined rules, self-coordination via pheromone emerges as a result of the network optimization. This work serves as a proof of concept for the possibility of creating complex applications utilizing SNNs as underlying architectures for multi-agent interactions where communication and self-coordination is desired.
</jats:p>}},
  author       = {{Jimenez Romero, Cristian and Yegenoglu, Alper and Pérez Martín, Aarón and Diaz-Pier, Sandra and Morrison, Abigail}},
  issn         = {{1935-3812}},
  journal      = {{Swarm Intelligence}},
  number       = {{1}},
  pages        = {{1--29}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks}}},
  doi          = {{10.1007/s11721-023-00231-6}},
  volume       = {{18}},
  year         = {{2023}},
}

@inbook{45360,
  author       = {{Haase, Michael and Bieber, Maximilian and Tasche, Frederik and Schaper, Mirko and Hoyer, Kay-Peter and Ponik, Bernd and Magyar, Balázs}},
  booktitle    = {{Proceedings of the 19th Rapid.Tech 3D Conference Erfurt, Germany, 9–11 May 2023}},
  editor       = {{Kynast, Michael and Eichmann, Michael and Witt, Gerd}},
  isbn         = {{978-3-446-47941-8}},
  publisher    = {{Carl Hanser Verlag GmbH & Co. KG}},
  title        = {{{Umsetzung einer optimierten Oberflächenschlitzung zur Wirbelstromverlustreduktion auf der Oberfläche eines additiv gefertigten Permanentmagnet-Rotors}}},
  doi          = {{https://doi.org/10.3139/9783446479425.001 }},
  year         = {{2023}},
}

@inproceedings{47084,
  abstract     = {{Fused Deposition Modeling (FDM) is an additive manufacturing process to produce
complex thermoplastic geometries layer by layer. The filament is melted in a nozzle, iteratively
deposited, and then cools down. Due to the solidification process, the deposited filament strands
deviate from their intended position due to shrinkage, resulting in significant geometric deviations
in the final part. In terms of dimensional accuracy, there is a need for optimization, especially for
local curved geometries in relation to the global part with higher nominal dimensions. The aim of
this study is to investigate the size and shape deviations for cylindrical FDM elements and to
compensate the expected deformations by using an in-house software with adaptive scaling factors
in the x-y plane. Previous studies mainly focus on simple, non-curved objects, this study also
considers the influence of curvature and global as well as local deviations on the final part.}},
  author       = {{Koers, Thorsten and Magyar, Balázs}},
  booktitle    = {{Proceedings of the 34th Annual International Solid Freeform Fabrication Symposium 2023}},
  editor       = {{Beaman, Joseph}},
  location     = {{Austin, Texas, USA}},
  title        = {{{Determination and Compensation of the Shrinkage Behavior of Cylindrical Elements in the FDM Process}}},
  doi          = {{https://doi.org/10.26153/tsw/50920}},
  volume       = {{34}},
  year         = {{2023}},
}

@inproceedings{52865,
  abstract     = {{This paper addresses new challenges of detecting campaigns in social media, which emerged with the rise of Large Language Models (LLMs). LLMs particularly challenge algorithms focused on the temporal analysis of topical clusters. Simple similarity measures can no longer capture and map campaigns that were previously broadly similar in content. Herein, we analyze whether the classification of messages over time can be profitably used to rediscover poorly detectable campaigns at the content level. Thus, we evaluate classical classifiers and a new method based on siamese neural networks. Our results show that campaigns can be detected despite the limited reliability of the classifiers as long as they are based on a large amount of simultaneously spread artificial content.}},
  author       = {{Grimme, Britta and Pohl, Janina and Winkelmann, Hendrik and Stampe, Lucas and Grimme, Christian}},
  booktitle    = {{Disinformation in Open Online Media: 5th Multidisciplinary International Symposium, MISDOOM 2023, Amsterdam, The Netherlands, November 21–22, 2023, Proceedings}},
  isbn         = {{978-3-031-47895-6}},
  keywords     = {{Social Media, Campaign Detection, Large Language Models, Siamese Neural Networks}},
  pages        = {{72–87}},
  publisher    = {{Springer-Verlag}},
  title        = {{{Lost in Transformation: Rediscovering LLM-Generated Campaigns in Social Media}}},
  doi          = {{10.1007/978-3-031-47896-3_6}},
  year         = {{2023}},
}

@inproceedings{43090,
  abstract     = {{The application of the mechanical joining process clinching allows the assembly of different sheet metal materials with a wide range of material thickness configurations, which is of interest for lightweight multi-material structures. In order to be able to predict the clinched joint properties as a function of the individual manufacturing steps, current studies focus on numerical modeling of the entire clinching process chain. It is essential to be able to take into account the influence of the joining process-induced damage on the load-bearing capacity of the joint during the loading phase. This study presents a numerical damage accumulation in the clinching process based on an implemented Hosford-Coulomb failure model using a 3D clinching process model applied on the aluminum alloy EN AW-6014 in temper T4. A correspondence of the experimentally determined failure location with the element of the highest numerically determined damage accumulation is shown. Moreover, the experimentally determined failure behavior is predicted to be in agreement in the numerical loading simulation with transferred pre-damage from the process simulation. }},
  author       = {{Bielak, Christian Roman and Böhnke, Max and Friedlein, Johannes and Bobbert, Mathias and Mergheim, Julia and Steinmann, Paul and Meschut, Gerson}},
  booktitle    = {{Materials Research Proceedings}},
  issn         = {{2474-395X}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{Numerical analysis of failure modeling in clinching process chain simulation}}},
  doi          = {{10.21741/9781644902417-33}},
  year         = {{2023}},
}

@inproceedings{66195,
  author       = {{Teper, Harun and Betz, Tobias and Von Der Brüggen, Georg and Chen, Kuan-Hsun and Betz, Johannes and Chen, Jian-Jia}},
  booktitle    = {{2023 IEEE 29th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)}},
  publisher    = {{IEEE}},
  title        = {{{Timing-Aware ROS 2 Architecture and System Optimization}}},
  doi          = {{10.1109/rtcsa58653.2023.00032}},
  year         = {{2023}},
}

@inproceedings{29852,
  author       = {{Beule, Felix and Teutenberg, Dominik and Meschut, Gerson and Aubel, Tobias and Matzenmiller, Anton}},
  booktitle    = {{22. Kolloquium: Gemeinsame Forschung in der Klebtechnik}},
  title        = {{{Methodenentwicklung zur Versagensanalyse aufgrund der Aushärtung vorgeschädigter Klebverbindungen in stahlintensiven Mischbaustrukturen}}},
  year         = {{2022}},
}

@inproceedings{29855,
  author       = {{Carillo Beber, Vinicius and Nagel, Christof and Mayer, Bernd and Köster, Christian and Matzenmiller, Anton and Hecht, Matthias and Baumgartner, Jörg and Melz, Tobias and Tews, Karina and Çavdar, Serkan and Meschut, Gerson}},
  booktitle    = {{22. Kolloquium: Gemeinsame Forschung in der Klebtechnik}},
  title        = {{{Lebensdauerprognose für Stahlklebverbindungen bei multiaxialer Belastung mit Phasenverschiebung, veränderlicher Mittelspannung und variablen Amplituden}}},
  year         = {{2022}},
}

@inproceedings{29344,
  author       = {{Kowatz, Jannik and Teutenberg, Dominik and Meschut, Gerson}},
  booktitle    = {{22. Kolloquium Gemeinsame Forschung in der Klebtechnik}},
  location     = {{Online}},
  title        = {{{Weiterentwicklung der induktiven Schnellhärtung von Klebverbindungen für robuste Fertigungsprozesse unter Berücksichtigung von serienrelevanten Einflussfaktoren}}},
  year         = {{2022}},
}

@inproceedings{30003,
  author       = {{Chudalla, Nick and Meschut, Gerson and Bartley, Aurélie and Wibbeke, Tim Michael}},
  booktitle    = {{22. Kolloquium: Gemeinsame Forschung in der Klebtechnik}},
  title        = {{{Analyse des Versagensverhaltens geklebter Stahl-Verbindungen beim werkstoffschonenden Entfügen in der Karosserieinstandsetzung}}},
  year         = {{2022}},
}

@inproceedings{30222,
  author       = {{Striewe, Marius and Meschut, Gerson and Schmelzle, Lars and Mergheim, Julia and Possart, Gunnar and Steinmann, Paul}},
  booktitle    = {{22. Kolloquium: Gemeinsame Forschung in der Klebtechnik}},
  title        = {{{Experimentelle und numerische Untersuchung des Einflusses variabler Betriebstemperaturen auf das Trag- und Versagensverhalten struktureller Klebverbindungen unter Crashbelastung}}},
  year         = {{2022}},
}

@inbook{16296,
  abstract     = {{Multiobjective optimization plays an increasingly important role in modern
applications, where several objectives are often of equal importance. The task
in multiobjective optimization and multiobjective optimal control is therefore
to compute the set of optimal compromises (the Pareto set) between the
conflicting objectives. Since the Pareto set generally consists of an infinite
number of solutions, the computational effort can quickly become challenging
which is particularly problematic when the objectives are costly to evaluate as
is the case for models governed by partial differential equations (PDEs). To
decrease the numerical effort to an affordable amount, surrogate models can be
used to replace the expensive PDE evaluations. Existing multiobjective
optimization methods using model reduction are limited either to low parameter
dimensions or to few (ideally two) objectives. In this article, we present a
combination of the reduced basis model reduction method with a continuation
approach using inexact gradients. The resulting approach can handle an
arbitrary number of objectives while yielding a significant reduction in
computing time.}},
  author       = {{Banholzer, Stefan and Gebken, Bennet and Dellnitz, Michael and Peitz, Sebastian and Volkwein, Stefan}},
  booktitle    = {{Non-Smooth and Complementarity-Based Distributed Parameter Systems}},
  editor       = {{Michael, Hintermüller and Roland, Herzog and Christian, Kanzow and Michael, Ulbrich and Stefan, Ulbrich}},
  isbn         = {{978-3-030-79392-0}},
  pages        = {{43--76}},
  publisher    = {{Springer}},
  title        = {{{ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation}}},
  doi          = {{10.1007/978-3-030-79393-7_3}},
  year         = {{2022}},
}

@inproceedings{30347,
  author       = {{Schafmeister, Frank}},
  booktitle    = {{International Conference on Electric & Electronic in Hybrid and Electric Vehicles and Electric Energy Management (EEHE),}},
  location     = {{Bamberg, Germany}},
  title        = {{{Compensation of LF Common-Mode Noise by the internal DC/DC-Stage for transformerless On-Board Chargers at Three- and Single-Phase Operation}}},
  year         = {{2022}},
}

@inproceedings{30349,
  author       = {{Förster, Nikolas and Rehlaender, Philipp and Wallscheid, Oliver and Schafmeister, Frank and Böcker, Joachim}},
  booktitle    = {{Proc. 37th IEEE Applied Power Electronics Conference (APEC)}},
  location     = {{Houston, TX, USA}},
  publisher    = {{IEEE}},
  title        = {{{An Open-Source Transistor Database and Toolbox as an Unified Software Engineering Tool for Managing and Evaluating Power Transistors}}},
  year         = {{2022}},
}

@inproceedings{30350,
  author       = {{Keuck, Lukas and Schafmeister, Frank and Böcker, Joachim}},
  booktitle    = {{Proc. IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM)}},
  location     = {{Nuremberg, Germany}},
  publisher    = {{IEEE}},
  title        = {{{Robust Hysteresis Control for LLC Resonant Converters Using a Fully Isolated Measurement Scheme}}},
  year         = {{2022}},
}

@article{30861,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>We consider the problem of maximization of metabolite production in bacterial cells formulated as a dynamical optimal control problem (DOCP). According to Pontryagin’s maximum principle, optimal solutions are concatenations of singular and bang arcs and exhibit the chattering or <jats:italic>Fuller</jats:italic> phenomenon, which is problematic for applications. To avoid chattering, we introduce a reduced model which is still biologically relevant and retains the important structural features of the original problem. Using a combination of analytical and numerical methods, we show that the singular arc is dominant in the studied DOCPs and exhibits the <jats:italic>turnpike</jats:italic> property. This property is further used in order to design simple and realistic suboptimal control strategies.</jats:p>}},
  author       = {{Caillau, Jean-Baptiste and Djema, Walid and Gouzé, Jean-Luc and Maslovskaya, Sofya and Pomet, Jean-Baptiste}},
  issn         = {{0022-3239}},
  journal      = {{Journal of Optimization Theory and Applications}},
  keywords     = {{Applied Mathematics, Management Science and Operations Research, Control and Optimization}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Turnpike Property in Optimal Microbial Metabolite Production}}},
  doi          = {{10.1007/s10957-022-02023-0}},
  year         = {{2022}},
}

@article{30923,
  abstract     = {{<jats:p>Additive manufacturing (AM) processes are not solely used where maximum design freedom meets low lot sizes. Direct microstructure design and topology optimization can be realized concomitantly during processing by adjusting the geometry, the material composition, and the solidification behavior of the material considered. However, when complex specific requirements have to be met, a targeted part design is highly challenging. In the field of biodegradable implant surgery, a cytocompatible material of an application-adapted shape has to be characterized by a specific degradation behavior and reliably predictable mechanical properties. For instance, small amounts of oxides can have a significant effect on microstructural development, thus likewise affecting the strength and corrosion behavior of the processed material. In the present study, biocompatible pure Fe was processed using electron powder bed fusion (E-PBF). Two different modifications of the Fe were processed by incorporating Fe oxide and Ce oxide in different proportions in order to assess their impact on the microstructural evolution, the mechanical response and the corrosion behavior. The quasistatic mechanical and chemical properties were analyzed and correlated with the final microstructural appearance.</jats:p>}},
  author       = {{Torrent, Christof J. J. and Krooß, Philipp and Huang, Jingyuan and Voigt, Markus and Ebbert, Christoph and Knust, Steffen and Grundmeier, Guido and Niendorf, Thomas}},
  issn         = {{2674-063X}},
  journal      = {{Alloys}},
  number       = {{1}},
  pages        = {{31--53}},
  publisher    = {{MDPI AG}},
  title        = {{{Oxide Modified Iron in Electron Beam Powder Bed Fusion—From Processability to Corrosion Properties}}},
  doi          = {{10.3390/alloys1010004}},
  volume       = {{1}},
  year         = {{2022}},
}

@inproceedings{30004,
  author       = {{Chudalla, Nick and Teutenberg, Dominik and Meschut, Gerson and Schneider, Miriam and Smart, Dominik}},
  booktitle    = {{22. Kolloquium: Gemeinsame Forschung in der Klebtechnik}},
  title        = {{{Systematisierung einer rechnergestützten Auswertemethode zur Versagensanalyse geklebter Verbindungen }}},
  year         = {{2022}},
}

@article{32234,
  author       = {{Wojciechowski, M}},
  issn         = {{2352-3409}},
  journal      = {{Data Brief}},
  pages        = {{108318}},
  title        = {{{Dataset for random uniform distributions of 2D circles and 3D spheres.}}},
  volume       = {{43}},
  year         = {{2022}},
}

@article{32087,
  abstract     = {{<jats:p> Agility, a key component of team ball sports, describes an athlete´s ability to move fast in response to changing environments. While agility requires basic cognitive functions like processing speed, it also requires more complex cognitive processes like working memory and inhibition. Yet, most agility tests restrict an assessment of cognitive processes to simple reactive times that lack ecological validity. Our aim in this study was to assess agility performance by means of total time on two agility tests with matched motor demands but with both low and high cognitive demands. We tested 22 female team athletes on SpeedCourt, using a simple agility test (SAT) that measured only processing speed and a complex agility test (CAT) that required working memory and inhibition. We found excellent to good reliability for both our SAT (ICC = .79) and CAT (ICC =.70). Lower agility performance on the CAT was associated with increased agility total time and split times ( p &lt; .05). These results demonstrated that agility performance depends on the complexity of cognitive demands. There may be interference-effects between motor and cognitive performances, reducing speed when environmental information becomes more complex. Future studies should consider agility training models that implement complex cognitive stimuli to challenge athletes according to competitive demands. This will also allow scientists and practitioners to tailor tests to talent identification, performance development and injury rehabilitation. </jats:p>}},
  author       = {{Büchel, Daniel and Gokeler, Alli and Heuvelmans, Pieter and Baumeister, Jochen}},
  issn         = {{0031-5125}},
  journal      = {{Perceptual and Motor Skills}},
  keywords     = {{Sensory Systems, Experimental and Cognitive Psychology}},
  publisher    = {{SAGE Publications}},
  title        = {{{Increased Cognitive Demands Affect Agility Performance in Female Athletes - Implications for Testing and Training of Agility in Team Ball Sports}}},
  doi          = {{10.1177/00315125221108698}},
  year         = {{2022}},
}