@inproceedings{31806,
  abstract     = {{The creation of an RDF knowledge graph for a particular application commonly involves a pipeline of tools that transform a set ofinput data sources into an RDF knowledge graph in a process called dataset augmentation. The components of such augmentation pipelines often require extensive configuration to lead to satisfactory results. Thus, non-experts are often unable to use them. Wepresent an efficient supervised algorithm based on genetic programming for learning knowledge graph augmentation pipelines of arbitrary length. Our approach uses multi-expression learning to learn augmentation pipelines able to achieve a high F-measure on the training data. Our evaluation suggests that our approach can efficiently learn a larger class of RDF dataset augmentation tasks than the state of the art while using only a single training example. Even on the most complex augmentation problem we posed, our approach consistently achieves an average F1-measure of 99% in under 500 iterations with an average runtime of 16 seconds}},
  author       = {{Dreßler, Kevin and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia}},
  keywords     = {{2022 RAKI SFB901 deer dice kevin knowgraphs limes ngonga sherif simba}},
  location     = {{Barcelona (Spain)}},
  title        = {{{ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-expression Learning}}},
  doi          = {{10.1145/3511095.3531287}},
  year         = {{2022}},
}

@inproceedings{33253,
  author       = {{Hansmeier, Tim and Brede, Mathis and Platzner, Marco}},
  booktitle    = {{GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion}},
  location     = {{Boston, MA, USA}},
  pages        = {{2071--2079}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion}}},
  doi          = {{10.1145/3520304.3533977}},
  year         = {{2022}},
}

@inproceedings{34140,
  abstract     = {{In this paper, machine learning techniques will be used to classify different PCB layouts given their electromagnetic frequency spectra. These spectra result from a simulated near-field measurement of electric field strengths at different locations. Measured values consist of real and imaginary parts (amplitude and phase) in X, Y and Z directions. Training data was obtained in the time domain by varying transmission line geometries (size, distance and signaling). It was then transformed into the frequency domain and used as deep neural network input. Principal component analysis was applied to reduce the sample dimension. The results show that classifying different designs is possible with high accuracy based on synthetic data. Future work comprises measurements of real, custom-made PCB with varying parameters to adapt the simulation model and also test the neural network. Finally, the trained model could be used to give hints about the error’s cause when overshooting EMC limits.}},
  author       = {{Maalouly, Jad and Hemker, Dennis and Hedayat, Christian and Rückert, Christian and Kaufmann, Ivan and Olbrich, Marcel and Lange, Sven and Mathis, Harald}},
  booktitle    = {{2022 Kleinheubach Conference}},
  keywords     = {{emc, pcb, electronic system development, machine learning, neural network}},
  location     = {{Miltenberg, Germany}},
  publisher    = {{IEEE}},
  title        = {{{AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development}}},
  year         = {{2022}},
}

@inproceedings{34152,
  author       = {{Otroshi, Mortaza and Meschut, Gerson}},
  location     = {{Rostock}},
  publisher    = {{Europäische Forschungsgesellschaft für Blechverarbeitung e.V. }},
  title        = {{{Methodenentwicklung zur Verbesserung der Schädigungsmodellierung in der numerischen 3D-Belastungssimulation mechanischer Fügeverfahren unter Berücksichtigung der fügeinduzierten Vorbeanspruchung}}},
  year         = {{2022}},
}

@phdthesis{34272,
  abstract     = {{Das Ultraschall-Dickdrahtbonden mit Aluminiumdraht ist ein Standardverfahren zur elektrischenKontaktierung von Leistungshalbleitermodulen. Die steigenden Anforderungen an die Effizienzund Zuverlässigkeit der Module haben zu technologischen Weiterentwicklungen geführt und eswerden vermehrt Kupferdrähte mit wesentlich besseren elektrischen und thermischen Eigenschafteneingesetzt. Hieraus resultieren durch höhere Prozesskräfte und Ultraschallleistung neueHerausforderungen bei der Prozessentwicklung; hierfür wird ein Simulationsmodell zur Verbesserungder Prozessentwicklung entwickelt.In Ultraschall-Drahtbondversuchen mit 400 m Aluminium und Kupfer Drähten wurde der Einflussder Prozessparameter auf die Bondqualität untersucht; diese Ergebnisse und zusätzliche Messungender Drahtdeformation und Schwingungen wurden für die Formulierung der Anforderungenund zur Validierung der Ergebnisse des Simulationsmodells genutzt.Es wurde ein Prozessmodell, basierend auf einer Co-Simulation zwischen MATLAB und ANSYS,entwickelt; hierbei wurden die phyiskalischen Phänomene wie die Ultraschall Werkstoffentfestigung,der Verbindungsaufbau und die dynamischen Systemeigenschaften abgebildet.Basierend auf einer Zug-Druck-Prüfmaschine wurde ein Prüfstand zur Identifikation der Modellparameterentwickelt. In zusätzlichen Druckversuchen mit den Bonddrähten mit und ohneUltraschallanregung wurde die Reduktion der Umformkräfte unter Ultraschalleinfluss untersucht.Mit dem entwickelten Prozessmodell wurden die Parameterstudien aus den Ultraschall-Drahtbondversuchensimuliert und direkt mit den experimentellen Ergebnissen verglichen, wobei sich einerelativ gute Übereinstimmung zwischen Simulation und Messung sowohl für Aluminium, als auchfür Kupfer, erzielen ließ.}},
  author       = {{Schemmel, Reinhard}},
  isbn         = {{	978-3-8440-8527-3}},
  pages        = {{174}},
  publisher    = {{Shaker}},
  title        = {{{Enhanced process development by simulation of ultrasonic heavy wire bonding}}},
  doi          = {{10.17619/UNIPB/1-1280}},
  volume       = {{13}},
  year         = {{2022}},
}

@unpublished{34530,
  abstract     = {{This paper addresses the problem of computing controllers that are correct by
design for safety-critical systems and can provably satisfy (complex)
functional requirements. We develop new methods for models of systems subject
to both stochastic and parametric uncertainties. We provide for the first time
novel simulation relations for enabling correct-by-design control refinement,
that are founded on coupling uncertainties of stochastic systems via
sub-probability measures. Such new relations are essential for constructing
abstract models that are related to not only one model but to a set of
parameterized models. We provide theoretical results for establishing this new
class of relations and the associated closeness guarantees for both linear and
nonlinear parametric systems with additive Gaussian uncertainty. The results
are demonstrated on a linear model and the nonlinear model of the Van der Pol
Oscillator.}},
  author       = {{Schön, Oliver and Huijgevoort, Birgit van and Haesaert, Sofie and Soudjani, Sadegh}},
  booktitle    = {{arXiv:2210.08269}},
  title        = {{{Correct-by-Design Control of Parametric Stochastic Systems}}},
  year         = {{2022}},
}

@inproceedings{34717,
  author       = {{Schöppner, Volker and Brüning, Florian and Sommer, L.}},
  location     = {{Fukuoka}},
  title        = {{{A Reverse Engineering Approach for Calibrating Frictional Behavior of Contact Models for Numerical Simulation of Solids Conveying in Extruders}}},
  year         = {{2022}},
}

@inproceedings{34735,
  author       = {{Schöppner, Volker and Brüning, Florian}},
  location     = {{Fukuoka}},
  title        = {{{Investigating Different Methods for Numerical Simulation of Temperature Development in a Feed Section of a Single-Screw Extruder}}},
  year         = {{2022}},
}

@article{30629,
  abstract     = {{Clinching is a joining process that is becoming more and more important in industry due to the increasing use of multi-material designs. Despite the already widespread use of the process, there is still a need for research to understand the mechanisms and design of clinched joints. In contrast to the tool parameters, process and material disturbances have not yet been investigated to a relatively large extent. However, these also have a great influence on the properties and applicability of clinching. The effect of process disturbances on the clinched joint are investigated with numerical and experimental methods. The investigated process variations are the history of the sheets using the pre-hardening of the material, different sheet thicknesses, sheet arrangements and punch strokes. For the consideration of the material history, a specimen geometry for pre-stretching specimens in uniaxial tension is used, from which the pre-stretched secondary specimens are taken. A finite element model is set up for the numerical investigations. Suitable clinching tools are selected. With the simulation, selected process influences can be examined. The effort of the numerical investigations is considerably reduced with the help of a statistical experimental design according to Taguchi. To confirm the simulation results, experimental investigations of the clinch point geometry by using micrographs and the shear strength of the clinched joint are performed. The analysis of the influence of difference disturbance factors on the clinching process demonstrate the importance of the holistic view of the clinching process.}},
  author       = {{Steinfelder, C. and Acksteiner, J. and Guilleaume, C. and Brosius, A.}},
  journal      = {{Production Engineering}},
  title        = {{{Analysis of the interactions between joint and component properties during clinching}}},
  doi          = {{10.1007/s11740-021-01102-x}},
  year         = {{2022}},
}

@inproceedings{29342,
  author       = {{Sander, Sascha and Teutenberg, Dominik and Meschut, Gerson and Kötz, Fabian and Matzenmiller, Anton and Kasper, Yann and Ummenhofer, Thomas}},
  booktitle    = {{22. Kolloquium Gemeinsame Forschung in der Klebtechnik}},
  location     = {{Online Konferenz}},
  title        = {{{Methodenentwicklung zur rechnerischen Auslegung geklebter  Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und  Anlagenbau }}},
  year         = {{2022}},
}

@article{31071,
  abstract     = {{Distributed, software-intensive systems (e.g., in the automotive sector) must fulfill communication requirements under hard real-time constraints.  The requirements have to be documented and validated carefully using a systematic requirements engineering (RE) approach, for example, by applying scenario-based requirements notations. The resources of the execution platforms and their properties (e.g., CPU frequency or bus throughput) induce effects on the timing behavior, which may lead to violations of the real-time requirements. Nowadays, the platform properties and their induced timing effects are verified against the real-time requirements by means of timing analysis techniques mostly implemented in commercial-off-the-shelf tools. However, such timing analyses are conducted in late development phases since they rely on artifacts produced during these phases (e.g., the platform-specific code). In order to enable early timing analyses already during RE, we extend a scenario-based requirements notation with allocation means to platform models and define operational semantics for the purpose of simulation-based, platform-aware timing analyses. We illustrate and evaluate the approach with an automotive software-intensive system.}},
  author       = {{Holtmann, Jörg and Deantoni, Julien and Fockel, Markus}},
  issn         = {{1619-1366}},
  journal      = {{Software and Systems Modeling}},
  keywords     = {{Modeling and Simulation, Software}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Early timing analysis based on scenario requirements and platform models}}},
  doi          = {{10.1007/s10270-022-01002-3}},
  year         = {{2022}},
}

@article{33009,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Purpose</jats:title>
                <jats:p>The present work aimed to delineate (i) a revised protocol according to recent methodological developments in evidence generation, to (ii) describe its interpretation, the assessment of the overall certainty of evidence and to (iii) outline an Evidence to Decision framework for deriving an evidence-based guideline on quantitative and qualitative aspects of dietary protein intake.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Methods</jats:title>
                <jats:p>A methodological protocol to systematically investigate the association between dietary protein intake and several health outcomes and for deriving dietary protein intake recommendations for the primary prevention of various non-communicable diseases in the general adult population was developed.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Results</jats:title>
                <jats:p>The developed methodological protocol relies on umbrella reviews including systematic reviews with or without meta-analyses. Systematic literature searches in three databases will be performed for each health-related outcome. The methodological quality of all selected systematic reviews will be evaluated using a modified version of AMSTAR 2, and the outcome-specific certainty of evidence for systematic reviews with or without meta-analysis will be assessed with NutriGrade. The general outline of the Evidence to Decision framework foresees that recommendations in the derived guideline will be given based on the overall certainty of evidence as well as on additional criteria such as sustainability.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Conclusion</jats:title>
                <jats:p>The methodological protocol permits a systematic evaluation of published systematic reviews on dietary protein intake and its association with selected health-related outcomes. An Evidence to Decision framework will be the basis for the overall conclusions and the resulting recommendations for dietary protein intake.</jats:p>
              </jats:sec>}},
  author       = {{Kroke, Anja and Schmidt, Annemarie and Amini, Anna M. and Kalotai, Nicole and Lehmann, Andreas and Haardt, Julia and Bauer, Jürgen M. and Bischoff-Ferrari, Heike A. and Boeing, Heiner and Egert, Sarah and Ellinger, Sabine and Kühn, Tilman and Louis, Sandrine and Lorkowski, Stefan and Nimptsch, Katharina and Remer, Thomas and Schulze, Matthias B. and Siener, Roswitha and Stangl, Gabriele I. and Volkert, Dorothee and Zittermann, Armin and Buyken, Anette E. and Watzl, Bernhard and Schwingshackl, Lukas}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  keywords     = {{Nutrition and Dietetics, Medicine (miscellaneous)}},
  number       = {{4}},
  pages        = {{2091--2101}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Dietary protein intake and health-related outcomes: a methodological protocol for the evidence evaluation and the outline of an evidence to decision framework underlying the evidence-based guideline of the German Nutrition Society}}},
  doi          = {{10.1007/s00394-021-02789-5}},
  volume       = {{61}},
  year         = {{2022}},
}

@inproceedings{29934,
  abstract     = {{Tire and road wear are a major source of emissions of nonexhaust particulate matter (PM) and make up the largest share of microplastics in the environment. To reduce tire wear through numerical optimization of a vehicle's suspension system, fast simulations of the representative usage of a vehicle are needed. Therefore, this contribution evaluates if instead of a full simulation of a representative test drive, only specific driving maneuvers resulting from a clustering of the driving data can be used to predict tire wear. As a measure for tire wear, the friction work between tire and road is calculated. It is shown that enough clusters result in negligible deviations between the total friction work of the full simulation and the cluster simulations as well as between the distributions of the friction work over the tire width. The calculation time can be reduced to about 1% of the full simulation.}},
  author       = {{Muth, Lars and Noll, Christian and Sextro, Walter}},
  booktitle    = {{Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021}},
  editor       = {{Orlova, Anna and Cole, David}},
  isbn         = {{978-3-031-07304-5}},
  keywords     = {{Tire Wear, Vehicle Dynamics, Clustering, Virtual Test}},
  location     = {{Saint Petersburg, Russia}},
  publisher    = {{Springer}},
  title        = {{{Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data}}},
  doi          = {{10.1007/978-3-031-07305-2_92}},
  year         = {{2022}},
}

@inproceedings{33240,
  author       = {{Götte, Thorsten and Scheideler, Christian}},
  booktitle    = {{SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022}},
  editor       = {{Agrawal, Kunal and Lee, I-Ting Angelina}},
  pages        = {{99–101}},
  publisher    = {{ACM}},
  title        = {{{Brief Announcement: The (Limited) Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved Resilience through Collusion}}},
  doi          = {{10.1145/3490148.3538556}},
  year         = {{2022}},
}

@inbook{30941,
  abstract     = {{Decision support systems are crucial in helping decision makers to quickly identify optimal business decisions in increasingly volatile and complex business environments. However, the ideal DSS for one decision maker may not optimally address the requirements for decision support of another decision maker. This is due to differences between
decision makers in business goals, regulatory restrictions or availability of resources such as data. By using a suboptimal DSS, decision makers risk implementing suboptimal decision recommendations which endanger the success of their business. This presents DSS developers with the challenge to implement a customizable DSS which can be tailored to the individual requirements for decision support of a single decision maker. In order to address this challenge, we suggest a decision support ecosystem in which DSS developers, decision makers and other domain experts collaborate using a shared platform to provide and combine reusable decision support services into a tailored DSS. The contribution of our paper is twofold: First, we define the concept of a decision support ecosystem with respect to existing digital business ecosystems and discuss expected benefits and challenges. Second, we present a reference architecture for a shared platform supporting the realization of a decision support ecosystem. We demonstrate our contributions in the example application domain of regional energy distribution network planning.}},
  author       = {{Kirchhoff, Jonas and Weskamp, Christoph and Engels, Gregor}},
  booktitle    = {{Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs}},
  publisher    = {{Springer}},
  title        = {{{Decision Support Ecosystems: Deﬁnition and Platform Architecture}}},
  doi          = {{10.1007/978-3-031-06530-9_8}},
  volume       = {{447}},
  year         = {{2022}},
}

@inproceedings{31070,
  author       = {{Bothe, Mike and Lutters, Nicole and Kenig, Eugeny Y.}},
  location     = {{Frankfurt am Main}},
  title        = {{{Untersuchung von Gefahrensituationen bei industriellen Absorption/Desorption-Prozessen mittels dynamischer Simulation}}},
  year         = {{2022}},
}

@inproceedings{33508,
  abstract     = {{In this work, methods will be evaluated to numerically calculate the passive electrical parameters of planar coils. These parameters can then be used to optimize inductive applications such as wireless power transmission. The focus here will be on inductive localization, which uses high-frequency magnetic fields and the resulting induced voltage to provide localization through the coupling parameter mutual inductance. To achieve localization with high accuracy and best possible operation (resonance, signal strength, etc.), the coil parameters need to be well known. For this reason, some numerical methods for the calculation of these quantities are presented and validated. In addition, the physical effects are thereby considered in more detail, allowing the localization procedure to be better optimized compared to simulative black-box methods. The goal should be a dedicated simulation platform for planar coils to be able to develop training data for neural networks and to test and optimize localization algorithms.}},
  author       = {{Lange, Sven and Hedayat, Christian and Kuhn, Harald and Hilleringmann, Ulrich}},
  booktitle    = {{2022 Smart Systems Integration (SSI)}},
  keywords     = {{Simulation Environment, Inductive Localization, Coil Parameters, Inductive Applications, Near-Field}},
  location     = {{Grenoble, France}},
  publisher    = {{IEEE}},
  title        = {{{Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings}}},
  doi          = {{10.1109/ssi56489.2022.9901416}},
  year         = {{2022}},
}

@inproceedings{33522,
  author       = {{Bernemann, Sören Antonius and Maćkowiak, Jan and Maćkowiak, Jerzy and Bertling, René and Lutters, Nicole and Kenig, Eugeny}},
  keywords     = {{CFD, simulation, agricultural waste, multiphase}},
  location     = {{Frankfurt am Main}},
  title        = {{{Development of an innovative separation unit for nitrogen recovery from agricultural waste}}},
  year         = {{2022}},
}

@article{33523,
  abstract     = {{Die thermisch verursachte, plastische Verformung an statischen Druckplatten von Lamellenbremsen kann das Betriebsverhalten von Bremsen nachhaltig stören und sollte daher vermieden werden. So kann die plastische Verformung der Druckplatte beispielsweise zu einer Verkleinerung des Luftspalts führen und ungewollte Veränderung der Reibverhältnisse verursachen. Während des Bremsvorgangs dehnen sich hoch erwärmte Bereiche nah der Reibfläche aus und werden von den Zonen geringerer Temperatur an ihrer Ausdehnung gehindert. Überschreiten die daraus resultierenden Spannungen die Dehngrenze des Materials, kommt es zu plastischer Verformung. Dieser Artikel erläutert den physikalischen Verformungsprozess detailliert und darauf aufbauend, welche Maßnahmen zu einer Verringerung der Verformung ergriffen werden können. Dazu werden im Rahmen theoretischer Vorüberlegungen drei Ansätze identifiziert, die sowohl die Geometrie als auch die Werkstoffe der Druckplatten betreffen. Radiale Schlitze sollen die Behinderung der thermischen Dehnung verhindern und dadurch Spannungen reduzieren; die Werkstoffauswahl auf Basis der Thermoschockempfindlichkeit reduziert die plastische Verformung. Anhand einer kombinierten Simulation der Thermik und der Mechanik einer Druckplatte wird der Effekt dieser Ansätze an vier Varianten der Druckplatte überprüft. Experimentelle Untersuchungen an realen Prototypen der Druckplattenvarianten bestätigen die Ergebnisse der Simulation und weisen die Wirksamkeit der vorgeschlagenen Maßnahmen zur Reduzierung der plastischen Verformung nach.}},
  author       = {{Schadomsky, Magnus and Blumenthal, Lars Martin and Zimmer, Detmar and Peter, Simon and Boros, Laszlo}},
  issn         = {{0015-7899}},
  journal      = {{Forschung im Ingenieurwesen}},
  keywords     = {{General Engineering, Bremsen, Bremsscheiben, thermoplastische Verformung}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Maßnahmen zur Reduzierung von plastischer Verformung an statischen Druckplatten von Lammellenbremsen infolge einseitig eingebrachter hoher Reibleistung}}},
  doi          = {{10.1007/s10010-022-00601-2}},
  year         = {{2022}},
}

@phdthesis{33499,
  author       = {{Otroshi, Mortaza}},
  isbn         = {{978-3-8440-8777-2}},
  issn         = {{1434-6915}},
  pages        = {{128}},
  publisher    = {{Shaker Verlag}},
  title        = {{{Damage modeling in the numerical simulation of mechanical joining processes}}},
  doi          = {{https://doi.org/10.2370/9783844087772}},
  year         = {{2022}},
}

