@inproceedings{54786, author = {{Claes, Leander and Hetkämper, Tim and Zeipert, Henning and Henning, Bernd}}, booktitle = {{22. GMA/ITG-Fachtagung – Sensoren und Messsysteme 2024}}, isbn = {{978-3-910600-01-0}}, pages = {{300–305}}, publisher = {{VDE Verlag GmbH}}, title = {{{Auswertung der modalen Dämpfung von geführten akustischen Wellen in faserverstärkten Kunststoffplatten}}}, doi = {{10.5162/sensoren2024/D1.2}}, year = {{2024}}, } @inproceedings{54788, author = {{Hetkämper, Tim and Nellius, Tom and Claes, Leander and Henning, Bernd}}, booktitle = {{22. GMA/ITG-Fachtagung – Sensoren und Messsysteme 2024}}, isbn = {{978-3-910600-01-0}}, pages = {{362–367}}, publisher = {{VDE Verlag GmbH}}, title = {{{Visualisierung tomografischer Daten aus Schlierenabbildungen mittels 3D Gaussian Splatting}}}, doi = {{10.5162/sensoren2024/D4.2}}, year = {{2024}}, } @article{54926, author = {{Stutz, Bianca and Krueger, Bettina and Goletzke, Janina and Jankovic, Nicole and Alexy, Ute and Herder, Christian and Dierkes, Jutta and Berg-Beckhoff, Gabriele and Jakobsmeyer, Rasmus and Reinsberger, Claus and Buyken, Anette E.}}, issn = {{1436-6215}}, journal = {{European Journal of Nutrition}}, publisher = {{Springer}}, title = {{{Glycemic response to meals with a high glycemic index differs between morning and evening: a randomized cross-over controlled trial among students with early or late chronotype}}}, doi = {{10.1007/s00394-024-03372-4}}, year = {{2024}}, } @article{54927, author = {{Stutz, Bianca and Goletzke, Janina and Krueger, Bettina and Jankovic, Nicole and Alexy, Ute and Herder, Christian and Jakobsmeyer, Rasmus and Reinsberger, Claus and Buyken, Anette E.}}, journal = {{Appetite}}, pages = {{107569}}, publisher = {{Elsevier}}, title = {{{Association between glucose dips and the feeling of hunger in a dietary intervention study among students with early and late chronotype-secondary analysis of a randomized cross-over nutrition trial}}}, doi = {{10.1016/j.appet.2024.107569}}, volume = {{200}}, year = {{2024}}, } @article{32447, abstract = {{We present a new gradient-like dynamical system related to unconstrained convex smooth multiobjective optimization which involves inertial effects and asymptotic vanishing damping. To the best of our knowledge, this system is the first inertial gradient-like system for multiobjective optimization problems including asymptotic vanishing damping, expanding the ideas previously laid out in [H. Attouch and G. Garrigos, Multiobjective Optimization: An Inertial Dynamical Approach to Pareto Optima, preprint, arXiv:1506.02823, 2015]. We prove existence of solutions to this system in finite dimensions and further prove that its bounded solutions converge weakly to weakly Pareto optimal points. In addition, we obtain a convergence rate of order \(\mathcal{O}(t^{-2})\) for the function values measured with a merit function. This approach presents a good basis for the development of fast gradient methods for multiobjective optimization.}}, author = {{Sonntag, Konstantin and Peitz, Sebastian}}, issn = {{1095-7189}}, journal = {{SIAM Journal on Optimization}}, keywords = {{multiobjective optimization, Pareto optimization, Lyapunov analysis, gradient-likedynamical systems, inertial dynamics, asymptotic vanishing damping, fast convergence}}, number = {{3}}, pages = {{2259 -- 2286}}, publisher = {{Society for Industrial and Applied Mathematics}}, title = {{{Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping}}}, doi = {{10.1137/23M1588512}}, volume = {{34}}, year = {{2024}}, } @article{55085, abstract = {{The lithium niobate–lithium tantalate solid solution’s phase diagram was investigated using experimental data from differential thermal analysis (DTA) and crystal growth. We used XRF analysis to determine the elemental composition of the crystals. The Neumann–Kopp rule provided essential data for the end members lithium niobate (LN) and lithium tantalate (LT). The heats of fusion of the end members, given by DTA measurements, are 103 kJ/mol at 1531 K for LN and 289 kJ/mol at 1913 K for LT. These values were used as input parameters to generate the data. This data served as the basis for calculating a phase diagram for LN-LT solid solutions. Finally, based on the experimental data and a thermodynamic solution model, the Calphad Factsage module optimized the phase diagram. We also generated thermodynamic parameters for Gibbs’ excess energy of the solid solution. A plot of the segregation coefficient as a function of Ta concentration was derived from the phase diagram.}}, author = {{Bashir, Umar and Klimm, Detlef and Rüsing, Michael and Bickermann, Matthias and Ganschow, Steffen}}, issn = {{0022-2461}}, journal = {{Journal of Materials Science}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Evaluation and thermodynamic optimization of phase diagram of lithium niobate tantalate solid solutions}}}, doi = {{10.1007/s10853-024-09932-7}}, year = {{2024}}, } @inproceedings{54807, abstract = {{This paper considers the shape formation problem within the 3D hybrid model, where a single agent with a strictly limited viewing range and the computational capacity of a deterministic finite automaton manipulates passive tiles through pick-up, movement, and placement actions. The goal is to reconfigure a set of tiles into a specific shape termed an icicle. The icicle, identified as a dense, hole-free structure, is strategically chosen to function as an intermediate shape for more intricate shape formation tasks. It is designed for easy exploration by a finite state agent, enabling the identification of tiles that can be lifted without breaking connectivity. Compared to the line shape, the icicle presents distinct advantages, including a reduced diameter and the presence of multiple removable tiles. We propose an algorithm that transforms an arbitrary initially connected tile structure into an icicle in 𝒪(n³) steps, matching the runtime of the line formation algorithm from prior work. Our theoretical contribution is accompanied by an extensive experimental analysis, indicating that our algorithm decreases the diameter of tile structures on average.}}, author = {{Hinnenthal, Kristian and Liedtke, David Jan and Scheideler, Christian}}, booktitle = {{3rd Symposium on Algorithmic Foundations of Dynamic Networks (SAND 2024)}}, editor = {{Casteigts, Arnaud and Kuhn, Fabian}}, isbn = {{978-3-95977-315-7}}, issn = {{1868-8969}}, keywords = {{Programmable Matter, Shape Formation, 3D Model, Finite Automaton}}, pages = {{15:1–15:20}}, publisher = {{Schloss Dagstuhl – Leibniz-Zentrum für Informatik}}, title = {{{Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures}}}, doi = {{10.4230/LIPIcs.SAND.2024.15}}, volume = {{292}}, year = {{2024}}, } @inbook{54802, abstract = {{Motivated by the prospect of nano-robots that assist human physiological functions at the nanoscale, we investigate the coating problem in the three-dimensional model for hybrid programmable matter. In this model, a single agent with strictly limited viewing range and the computational capability of a deterministic finite automaton can act on passive tiles by picking up a tile, moving, and placing it at some spot. The goal of the coating problem is to fill each node of some surface graph of size n with a tile. We first solve the problem on a restricted class of graphs with a single tile type, and then use constantly many tile types to encode this graph in certain surface graphs capturing the surface of 3D objects. Our algorithm requires O(n^2) steps, which is worst-case optimal compared to an agent with global knowledge and no memory restrictions.}}, author = {{Kostitsyna, Irina and Liedtke, David Jan and Scheideler, Christian}}, booktitle = {{Structural Information and Communication Complexity}}, editor = {{Emek, Yuval}}, isbn = {{9783031606021}}, issn = {{0302-9743}}, keywords = {{Programmable Matter, Coating, Finite Automaton, 3D}}, publisher = {{Springer Nature Switzerland}}, title = {{{Universal Coating by 3D Hybrid Programmable Matter}}}, doi = {{10.1007/978-3-031-60603-8_21}}, year = {{2024}}, } @inproceedings{55392, abstract = {{In dieser Arbeit werden Untersuchungen zur sauerstoffabhängigen Photolumineszenz von Zink-Zinn-Oxid-Partikeln präsentiert, welche perspektivisch für die optische Sauerstoffdetektion eingesetzt werden sollen. Zink-Zinn-Oxid zeigt eine sauerstoffabhängige Photolumineszenz im sichtbaren Spektralbereich und wird hier als eine photostabile Alternative zu den kommerziell verfügbaren metallorganischen Verbindungen vorgestellt. Der Fokus liegt dabei auf dem Einfluss der Temperatur auf die Sauerstoffsensitivität der Photolumineszenz. Wir zeigen, dass bereits leichte Temperaturerhöhungen zu einer signifikanten Verbesserung der Sauerstoffsensitivität der Photolumineszenz führen und gleichzeitig die Signalqualität erhöhen.}}, author = {{Kothe, Linda and Ester, Stephan and Poeplau, Michael and Wengenroth, Marc and Tiemann, Michael}}, booktitle = {{Proceedings 22. GMA/ITG-Fachtagung Sensoren und Messsysteme 2024}}, isbn = {{978-3-910600-01-0}}, pages = {{66 -- 71}}, title = {{{Stabilisierung von O2-sensitiven Photolumineszenzsignalen durch Temperaturvariation}}}, doi = {{10.5162/sensoren2024/A3.1}}, year = {{2024}}, } @inproceedings{53959, abstract = {{In light of the growing interest in type inference research for Python, both researchers and practitioners require a standardized process to assess the performance of various type inference techniques. This paper introduces TypeEvalPy, a comprehensive micro-benchmarking framework for evaluating type inference tools. TypeEvalPy contains 154 code snippets with 845 type annotations across 18 categories that target various Python features. The framework manages the execution of containerized tools, transforms inferred types into a standardized format, and produces meaningful metrics for assessment. Through our analysis, we compare the performance of six type inference tools, highlighting their strengths and limitations. Our findings provide a foundation for further research and optimization in the domain of Python type inference.}}, author = {{Shivarpatna Venkatesh, Ashwin Prasad and Sabu, Samkutty and Wang, Jiawei and Mir, Amir M. and Li, Li and Bodden, Eric}}, booktitle = {{Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings}}, isbn = {{9798400705021}}, location = {{Lisbon, Portugal}}, pages = {{49--53}}, publisher = {{Association for Computing Machinery}}, title = {{{TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools}}}, doi = {{10.1145/3639478.3640033}}, year = {{2024}}, } @inproceedings{56207, abstract = {{We present a data acquisition and visualization pipeline that allows experts to monitor additive manufacturing processes, in particular laser metal deposition with wire (LMD-w) processes, in immersive virtual reality. Our virtual environment consists of a digital shadow of the LMD-w production site enriched with additional measurement data shown on both static as well as handheld virtual displays. Users can explore the production site by enhanced teleportation capabilities that enable them to change their scale as well as their elevation above the ground plane. In an exploratory user study with 22 participants, we demonstrate that our system is generally suitable for the supervision of LMD-w processes while generating low task load and cybersickness. Therefore, it serves as a first promising step towards the successful application of virtual reality technology in the comparatively young field of additive manufacturing.}}, author = {{Rupp, Daniel and Kuhlen, Torsten W. and Rarbach, Sven and Wiechel, Dominik and Pottebaum, Jens and Weidemann, Tizia and Tran, Duc Thanh and Day, Robin and Zielinski, Jonas and König, Valentina and Bremer, Jan and Kosche, Thomas and Grimm, Andreas and Bergs, Thomas and Gräßler, Iris and Weissker, Tim}}, booktitle = {{Proceedings of the GI VR/AR Workshop 2024}}, location = {{Hamburg}}, publisher = {{Gesellschaft für Informatik e.V.}}, title = {{{Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows}}}, doi = {{10.18420/vrar2024_0006}}, year = {{2024}}, } @article{56221, author = {{Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Hernández, Carlos and Kerschke, Pascal and Trautmann, Heike and Schütze, Oliver}}, journal = {{IEEE Transactions on Evolutionary Computation}}, keywords = {{Optimization, Evolutionary computation, Approximation algorithms, Benchmark testing, Vectors, Surveys, Pareto optimization, multi-objective optimization, evolutionary computation, multimodal optimization, local solutions}}, pages = {{1--1}}, title = {{{Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization}}}, doi = {{10.1109/TEVC.2024.3458855}}, year = {{2024}}, } @inproceedings{46649, abstract = {{Different conflicting optimization criteria arise naturally in various Deep Learning scenarios. These can address different main tasks (i.e., in the setting of Multi-Task Learning), but also main and secondary tasks such as loss minimization versus sparsity. The usual approach is a simple weighting of the criteria, which formally only works in the convex setting. In this paper, we present a Multi-Objective Optimization algorithm using a modified Weighted Chebyshev scalarization for training Deep Neural Networks (DNNs) with respect to several tasks. By employing this scalarization technique, the algorithm can identify all optimal solutions of the original problem while reducing its complexity to a sequence of single-objective problems. The simplified problems are then solved using an Augmented Lagrangian method, enabling the use of popular optimization techniques such as Adam and Stochastic Gradient Descent, while efficaciously handling constraints. Our work aims to address the (economical and also ecological) sustainability issue of DNN models, with a particular focus on Deep Multi-Task models, which are typically designed with a very large number of weights to perform equally well on multiple tasks. Through experiments conducted on two Machine Learning datasets, we demonstrate the possibility of adaptively sparsifying the model during training without significantly impacting its performance, if we are willing to apply task-specific adaptations to the network weights. Code is available at https://github.com/salomonhotegni/MDMTN.}}, author = {{Hotegni, Sedjro Salomon and Berkemeier, Manuel Bastian and Peitz, Sebastian}}, booktitle = {{2024 International Joint Conference on Neural Networks (IJCNN)}}, issn = {{ 2161-4407}}, location = {{Yokohama, Japan}}, pages = {{9}}, publisher = {{IEEE}}, title = {{{Multi-Objective Optimization for Sparse Deep Multi-Task Learning}}}, doi = {{10.1109/IJCNN60899.2024.10650994}}, year = {{2024}}, } @article{54847, abstract = {{The widespread adoption of ultra-high strength steels, due to their high bulk resistivity, intensifies expulsion issues in resistance spot welding (RSW), deteriorating both the spot weld and surface quality. This study presents a novel approach to prevent expulsion by employing a preheating current. Through characteristic analysis of joint formation under critical welding current, the importance of plastic material encapsulation around the weld nugget (plastic shell) at high temperatures in preventing expulsion is highlighted. To evaluate the effect of preheating on the plastic shell and understand its mechanism in expulsion prevention, a two-dimensional welding simulation model for dissimilar ultra-high strength steel joints was established. The results showed that optimal preheating enhances the thickness of the plastic shell, improving its ability to encapsulate the weld nugget during the primary welding phase, thereby diminishing expulsion risks. Experimental validation confirmed that by employing the optimal preheating current, the maximum nugget diameter was enhanced to 9.42 mm, marking an increase of 13.4 % and extending the weldable current range by 27.5 %. Under quasi-static cross-tensile loading, joints with preheating demonstrated a 7.9 % enhancement in maximum load-bearing capacity compared to joints without preheating, showing a reproducible and complete pull-out failure mode within the heat-affected zone. This study offers a prevention method based on underlying mechanisms, providing a new perspective for future research on welding parameter optimization with the aim of expulsion prevention.}}, author = {{Yang, Keke and El-Sari, Bassel and Olfert, Viktoria and Wang, Zhuoqun and Biegler, Max and Rethmeier, Michael and Meschut, Gerson}}, issn = {{1526-6125}}, journal = {{Journal of Manufacturing Processes}}, keywords = {{Expulsion Resistance spot welding Finite element modelling Preheating Weldable current range Ultra-high strength steel}}, pages = {{489--502}}, publisher = {{Elsevier BV}}, title = {{{Expulsion prevention in resistance spot welding of dissimilar joints with ultra-high strength steel: An analysis of the mechanism and effect of preheating current}}}, doi = {{10.1016/j.jmapro.2024.06.034}}, volume = {{124}}, year = {{2024}}, } @article{55654, author = {{Röder, Lilli Sophia and Gröngröft, Arne and Grünewald, Marcus and Riese, Julia}}, issn = {{0098-1354}}, journal = {{Computers & Chemical Engineering}}, publisher = {{Elsevier BV}}, title = {{{Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation}}}, doi = {{10.1016/j.compchemeng.2024.108838}}, year = {{2024}}, } @inproceedings{56888, abstract = {{Elterliche Unterstützung bei der Internetnutzung geriet durch die Covid-19-Pandemie stärker in den Fokus, auch wenn diese bereits vor der Pandemie aufgrund der nur langsam fortschreitenden Digitalisierung von Schulen elementar war. Neben der Relevanz der Quantität elterlicher Unterstützung ist in Untersuchungen zur Rolle der Familie für das Lernen mit digitalen Medien auch die Qualität von zentraler Bedeutung (Bonanati et al., 2022). Dabei erwies sich allgemein in der Forschung zur elterlichen Hausaufgabenunterstützung eine autonomieunterstützende, strukturgebende und zugleich wertschätzende Instruktion als besonders gewinnbringend (Dumont et al., 2014). Zudem ist bekannt, dass die elterliche Unterstützung unter anderem auf Grund der steigenden Komplexität der Unterrichtsinhalte, der steigenden Selbstständigkeit sowie dem zunehmenden Autonomiebedürfnis der Lernenden im Schulverlauf abnimmt (Luplow & Schneider, 2018). Wie sich die elterliche Unterstützung bei der informationsorientierten Internetnutzung von Kindern über die Zeit und mit Beginn der Covid-19-Pandemie verändert, ist relevant für den Förderkontext, bislang aber nur wenig betrachtet worden und deshalb Ziel der vorliegenden Untersuchung. Grundlage der vorliegenden Untersuchung sind längsschnittliche Daten von 395 Schüler*innen sowie 191 Eltern, die im Jahr 2019/2020 in fünften Klassen (~10-11 Jahre) und im Jahr 2021/22 in siebten Klassen (~12-13 Jahre) erhoben wurden. Die Ergebnisse zeigten eine Abnahme der Quantität elterlicher Instruktion von der fünften zur siebten Jahrgansstufe sowohl aus Eltern- als auch aus Kinderperspektive. Hinsichtlich der Qualität elterlicher Unterstützung berichteten Eltern in der 7. Klassenstufe von weniger autonomieunterstützender Instruktion, während Kinder der 7. Klassenstufe von einer weniger autonomieunterstützenden und wertschätzenden Instruktion berichteten. Weitere Ergebnisse werden in dem Vortrag diskutiert.}}, author = {{Gruchel, Nicole and Kurock, Ricarda and Buhl, Heike M.}}, location = {{Wien}}, title = {{{Digitale häusliche Lernumwelt – Veränderungen der elterlichen Unterstützung bei der informationsorientierten Internetnutzung von Fünft- und Siebtklässler*innen }}}, year = {{2024}}, } @misc{58325, author = {{Autsch, Sabiene}}, publisher = {{Edition Imorde }}, title = {{{Micro Archives. Künstlerische Arbeiten 2019-2024. }}}, year = {{2024}}, } @inproceedings{58335, author = {{Seiler, Moritz and Skvorc, Urban and Doerr, Carola and Trautmann, Heike}}, booktitle = {{Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers}}, editor = {{Festa, Paola and Ferone, Daniele and Pastore, Tommaso and Pisacane, Ornella}}, pages = {{361–376}}, publisher = {{Springer}}, title = {{{Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection}}}, doi = {{10.1007/978-3-031-75623-8_29}}, volume = {{14990}}, year = {{2024}}, } @unpublished{58441, abstract = {{This study presents a numerical approach using a 3D finite element model to quantify the remaining clamp load of a plastic nut joint after a specific time. The viscoelastic relaxation of a thermoplastic nut, which is predominantly screwed on a welding stud, is described by a material card using Prony Series. Prony Series are derived from experimental Dynamical Mechanical Analysis with different moisture and fiber contents of the thermoplastic. Since plastic nuts usually do not have preformed threads, the increased temperatures and resulting stresses from the thread-forming process are considered in the simulation. Firstly, the FE model is verified by substrate stress relaxation tests. Subsequently, experimental clamp load measurements with miniature compression load cells verify the clamp load prediction. Finally, the developed model is used to analyze the clamp load distribution within the threads}}, author = {{Wippermann, Jan and Meschut, Gerson}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Numerical modeling of clamp load relaxation of plastic nuts under varying moisture and fiber content}}}, year = {{2024}}, } @phdthesis{58448, abstract = {{Die Inbetriebnahme von Steuerungen und Regelungen stellt sicher, dass ein mechatronisches System ordnungsgemäß funktioniert und den Anforderungen gerecht wird. Der modellbasierte Entwurf basiert auf einem genauen Simulationsmodell. Allerdings ist dieser klassische Weg bei komplexen Systemen oft nicht praktikabel, da die analytische Modellierung zu kompliziert und zeitaufwendig ist. Diese Forschungslücke wird durch Verfahren adressiert, die eine effiziente und sichere Inbetriebnahme ermöglichen. Diese Verfahren kombinieren Regelungstechnik und Reinforcement Learning und nutzen vorhandenes Wissen über die Regelungsaufgabe, um Korrekturen basierend auf Messdaten und der probabilistischen Gauß-Prozess-Regression vorzunehmen. Das Vorwissen kann als teilweise bekanntes physikalisches Modell oder als Steuerungsfunktion vorliegen. Anwendungsbeispiele sind der Ultraschalldrahtbondprozess, verschiedene Pendelsysteme und ein Hexapod. Eine angepasste Bayessche Optimierung wird zur Identifikation einer Steuerparametrisierung für das Ultraschallbonden eingesetzt. Außerdem wird eine hybride Optimalsteuerung für das Doppelpendel auf einem Wagen entwickelt und erfolgreich validiert. Fur einen Hexapod zur Fahrzeugachsprüfung wird eine hybride Zustandslinearisierung formuliert und ein Funktionsnachweis im Rahmen einer Simulation erbracht. Die Einhaltung technischer Rahmenbedingungen und stabiles Systemverhalten werden durch probabilistische Pradiktionen gewährleistet. In allen Anwendungsfällen wird eine Steigerung der Effizienz und Güte erzielt.}}, author = {{Hesse, Michael}}, isbn = {{978-3-947647-45-3}}, issn = {{2365-4422}}, publisher = {{Heinz Nixdorf Institut}}, title = {{{Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression}}}, doi = {{10.17619/UNIPB/1-2135}}, volume = {{426}}, year = {{2024}}, }