@article{29182, author = {{Chang, M. and Büchel, Daniel and Reinecke, K. and Lehmann, T. and Baumeister, Jochen}}, issn = {{0953-816X}}, journal = {{European Journal of Neuroscience}}, keywords = {{General Neuroscience}}, publisher = {{Wiley}}, title = {{{Ecological Validity in Exercise Neuroscience Research: A Systematic Investigation}}}, doi = {{10.1111/ejn.15595}}, year = {{2022}}, } @inproceedings{29220, abstract = {{Modern services often comprise several components, such as chained virtual network functions, microservices, or machine learning functions. Providing such services requires to decide how often to instantiate each component, where to place these instances in the network, how to chain them and route traffic through them. To overcome limitations of conventional, hardwired heuristics, deep reinforcement learning (DRL) approaches for self-learning network and service management have emerged recently. These model-free DRL approaches are more flexible but typically learn tabula rasa, i.e., disregard existing understanding of networks, services, and their coordination. Instead, we propose FutureCoord, a novel model-based AI approach that leverages existing understanding of networks and services for more efficient and effective coordination without time-intensive training. FutureCoord combines Monte Carlo Tree Search with a stochastic traffic model. This allows FutureCoord to estimate the impact of future incoming traffic and effectively optimize long-term effects, taking fluctuating demand and Quality of Service (QoS) requirements into account. Our extensive evaluation based on real-world network topologies, services, and traffic traces indicates that FutureCoord clearly outperforms state-of-the-art model-free and model-based approaches with up to 51% higher flow success ratios.}}, author = {{Werner, Stefan and Schneider, Stefan Balthasar and Karl, Holger}}, booktitle = {{IEEE/IFIP Network Operations and Management Symposium (NOMS)}}, keywords = {{network management, service management, AI, Monte Carlo Tree Search, model-based, QoS}}, location = {{Budapest}}, publisher = {{IEEE}}, title = {{{Use What You Know: Network and Service Coordination Beyond Certainty}}}, year = {{2022}}, } @article{29296, author = {{Schmolke, Tobias and Krüger, Christopher and Merdivan, David and Meschut, Gerson}}, journal = {{ATZ worldwide}}, number = {{1}}, pages = {{66--71}}, title = {{{Weight-optimized Battery Housings for Volume Vehicles}}}, doi = {{https://doi.org/10.1007/s38311-021-0766-7}}, volume = {{124}}, 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{21571, abstract = {{The paper investigates the impact of individual attention on investor risk-taking. We analyze a large sample of trading records from a brokerage service that allows its customers to trade contracts-for-differences (CFD), and sends standardized push messages on recent stock performance to its client investors. The advantage of this sample is that it allows us to isolate the "push" messages as individual attention triggers, which we can directly link to the same individuals' risk-taking. A particular advantage of CFD trading is that it allows investors to make use of leverage, which provides us a pure measure of investors' willingness to take risks that is independent of the decision to purchase a particular stock. Leverage is a major catalyst of speculative trading, as it increases the scope of extreme returns, and enables investors to take larger positions than what they can afford with their own capital. We show that investors execute attention-driven trades with higher leverage, compared to their other trades, as well as those of other investors who are not alerted by attention triggers.}}, author = {{Arnold, Marc and Pelster, Matthias and Subrahmanyam, Marti G.}}, journal = {{Journal of Financial Economics}}, number = {{2}}, pages = {{ 846--875}}, title = {{{Attention triggers and investors' risk-taking}}}, doi = {{10.1016/j.jfineco.2021.05.031}}, volume = {{143}}, year = {{2022}}, } @inproceedings{29302, abstract = {{This paper introduces the project Scale4Edge. The project is focused on enabling an effective RISC-V ecosystem for optimization of edge applications. We describe the basic components of this ecosystem and introduce the envisioned demonstrators, which will be used in their evaluation.}}, author = {{Ecker, Wolfgang and Adelt, Peer and Müller, Wolfgang and Heckmann, Reinhold and Krstic, Milos and Herdt, Vladimir and Drechsler, Rolf and Angst, Gerhard and Wimmer, Ralf and Mauderer, Andreas and Stahl, Rafael and Emrich, Karsten and Mueller-Gritschneder, Daniel and Becker, Bernd and Scholl, Philipp and Jentzsch, Eyck and Schlamelcher, Jan and Grüttner, Kim and Bernardo, Paul Palomero and Brinkmann, Oliver and Damian, Mihaela and Oppermann, Julian and Koch, Andreas and Bormann, Jörg and Partzsch, Johannes and Mayr, Christian and Kunz, Wolfgang}}, booktitle = {{In Proceedings of the Design Automation and Test Conference and Exhibition (DATE 2022)}}, title = {{{The Scale4Edge RISC-V Ecosystem}}}, year = {{2022}}, } @article{29295, author = {{Schmolke, Tobias and Krüger, Christopher and Merdivan, David and Meschut, Gerson}}, journal = {{ ATZ - Automobiltechnische Zeitschrift}}, number = {{1}}, pages = {{80--85}}, title = {{{Gewichtsoptimierte Batteriegehäuse für Volumenfahrzeuge}}}, doi = {{https://doi.org/10.1007/s35148-021-0785-0}}, volume = {{124}}, year = {{2022}}, } @inbook{29355, author = {{Mildorf, Jarmila}}, booktitle = {{Erzählte Welt: Sinnstiftung in Zeiten kultureller und politischer Umbrüche}}, editor = {{Schachtner, Christina and Drews, Albert}}, pages = {{167--194}}, publisher = {{Evangelische Akademie Loccum}}, title = {{{Durch Andere sich selbst erzählen: Figuren der Selbststilisierung in autobiographischen Schriften von Alan Bennett und Candia McWilliam}}}, volume = {{9}}, year = {{2022}}, } @article{23415, author = {{Sperling, Martina and Schryen, Guido}}, journal = {{European Journal of Operational Research (EJOR)}}, number = {{2}}, pages = {{690 -- 705}}, title = {{{Decision Support for Disaster Relief: Coordinating Spontaneous Volunteers}}}, volume = {{299}}, year = {{2022}}, } @article{27776, author = {{Koldewey, Christian and Rasor, Anja and Reinhold, Jannik and Gausemeier, Jürgen and Dumitrescu, Roman and Chohan, Nadia and Frank, Maximilian}}, issn = {{0040-1625}}, journal = {{Technological Forecasting and Social Change}}, publisher = {{Elsevier}}, title = {{{Aligning strategic position, behavior, and structure for smart service businesses in manufacturing}}}, doi = {{10.1016/j.techfore.2021.121329}}, year = {{2022}}, } @inproceedings{29539, abstract = {{Explainable Artificial Intelligence (XAI) is currently an important topic for the application of Machine Learning (ML) in high-stakes decision scenarios. Related research focuses on evaluating ML algorithms in terms of interpretability. However, providing a human understandable explanation of an intelligent system does not only relate to the used ML algorithm. The data and features used also have a considerable impact on interpretability. In this paper, we develop a taxonomy for describing XAI systems based on aspects about the algorithm and data. The proposed taxonomy gives researchers and practitioners opportunities to describe and evaluate current XAI systems with respect to interpretability and guides the future development of this class of systems.}}, author = {{Kucklick, Jan-Peter}}, booktitle = {{Wirtschaftsinformatik 2022 Proceedings}}, keywords = {{Explainable Artificial Intelligence, XAI, Interpretability, Decision Support Systems, Taxonomy}}, location = {{Nürnberg (online)}}, title = {{{Towards a model- and data-focused taxonomy of XAI systems}}}, year = {{2022}}, } @unpublished{29541, author = {{Lienen, Christian and Platzner, Marco}}, title = {{{ReconROS Executor: Event-Driven Programming of FPGA-accelerated ROS 2 Applications}}}, year = {{2022}}, } @inbook{29104, abstract = {{The digitalization of workplaces can introduce changes on various levels of work activities. Educational research follows this transformation in one of two ways: On the one hand, there is the optimistic perspective of expecting to improve the quality of work and work life; on the other hand, there is the expectation that conditions of work and work life will generally deteriorate. Irrespective of the concrete outcomes of digitalization, a general agreement exists that digitalization will induce changes at workplaces that affect individuals and the tasks they do. At the same time, however, scholars disagree as to whether employees experience these changes in terms of affordances that engage them into learning new processes or if they experience constraints that inhibit further engagement in learning. This chapter explores the particular developments covered under the topic of digitalization at and of work, explains particular challenges of the introduction of cyber-physical systems and analyzes consequences for workplace learning. It focuses on conceptual change as a theoretical framework for understanding the quality of learning processes that seem inevitable in order to cope with the new requirements and – more importantly – to use the potentials of the new technologies. It then sketches the poor state of empirical research conducted in this area – so far limited to exploratory field studies – even in times of corona, which has boosted the digital transformation. The chapter ends with a description of the potential and problems of – at best interdisciplinary – research into learning at digitalized workplaces.}}, author = {{Harteis, Christian and Goller, Michael and Gerholz, Karl-Heinz}}, booktitle = {{The SAGE Handbook of Learning and Work}}, editor = {{Malloch, Margaret and Cairns, Len and Evans, Karen and O'Connor, Bridget N.}}, isbn = {{978-1-5264-9111-4}}, pages = {{329--342}}, publisher = {{SAGE Publications}}, title = {{{Digitalization of work: Challenges for workplace learning}}}, year = {{2022}}, } @article{29103, abstract = {{Im Praxissemester (PS) sind Mentor*innen für Studierende wichtige Bezugspersonen, die sie u. a. bei der Planung, Durchführung und Reflexion von Unterricht begleiten. Während z.B. zur Kompetenzentwicklung Studierender im PS mehrere Erkenntnisse vorliegen, ist die Perspektive von Mentor*innen bisher wenig untersucht. Dieser Bericht zielt darauf, die Relevanz von Mentor*innen herauszuarbeiten, Forschungsdesiderate zu umreißen und Handlungsoptionen aufzuzeigen.}}, author = {{Caruso, Carina and Goller, Michael}}, journal = {{Die Deutsche Schule}}, keywords = {{Schlagwörter: Mentoring, Praxissemester, Professionalisierung}}, number = {{4}}, publisher = {{Waxmann}}, title = {{{Die Relevanz von Mentor*innen für die Professionalisierung von angehenden Lehrkräften im Praxissemester: Forschungsdesiderate und Handlungsoptionen}}}, volume = {{114}}, year = {{2022}}, } @phdthesis{29763, abstract = {{Modern-day communication has become more and more digital. While this comes with many advantages such as a more efficient economy, it has also created more and more opportunities for various adversaries to manipulate communication or eavesdrop on it. The Snowden revelations in 2013 further highlighted the seriousness of these threats. To protect the communication of people, companies, and states from such threats, we require cryptography with strong security guarantees. Different applications may require different security properties from cryptographic schemes. For most applications, however, so-called adaptive security is considered a reasonable minimal requirement of security. Cryptographic schemes with adaptive security remain secure in the presence of an adversary that can corrupt communication partners to respond to messages of the adversaries choice, while the adversary may choose the messages based on previously observed interactions. While cryptography is associated the most with encryption, this is only one of many primitives that are essential for the security of digital interactions. This thesis presents novel identity-based encryption (IBE) schemes and verifiable random functions (VRFs) that achieve adaptive security as outlined above. Moreover, the cryptographic schemes presented in this thesis are proven secure in the standard model. That is without making use of idealized models like the random oracle model.}}, author = {{Niehues, David}}, keywords = {{public-key cryptography, lattices, pairings, verifiable random functions, identity-based encryption}}, title = {{{More Efficient Techniques for Adaptively-Secure Cryptography}}}, doi = {{10.25926/rdtq-jw45}}, 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{30739, author = {{Ring, Julia and Tadic, Jelena and Ristic, Selena and Poglitsch, Michael and Bergmann, Martina and Radic, Nemanja and Mossmann, Dirk and Liang, YongTian and Maglione, Marta and Jerkovic, Andrea and Hajiraissi, Roozbeh and Hanke, Marcel and Küttner, Victoria and Wolinski, Heimo and Zimmermann, Andreas and Domuz Trifunović, Lana and Mikolasch, Leonie and Moretti, Daiana N and Broeskamp, Filomena and Westermayer, Julia and Abraham, Claudia and Schauer, Simon and Dammbrueck, Christopher and Hofer, Sebastian J and Abdellatif, Mahmoud and Grundmeier, Guido and Kroemer, Guido and Braun, Ralf J and Hansen, Niklas and Sommer, Cornelia and Ninkovic, Mirjana and Seba, Sandra and Rockenfeller, Patrick and Vögtle, Friederike‐Nora and Dengjel, Jörn and Meisinger, Chris and Keller, Adrian and Sigrist, Stephan J and Eisenberg, Tobias and Madeo, Frank}}, issn = {{1757-4676}}, journal = {{EMBO Molecular Medicine}}, keywords = {{Molecular Medicine}}, pages = {{e13952}}, publisher = {{EMBO}}, title = {{{The HSP40 chaperone Ydj1 drives amyloid beta 42 toxicity}}}, doi = {{10.15252/emmm.202113952}}, volume = {{14}}, year = {{2022}}, } @inproceedings{31150, author = {{Heyser, Per and Meschut, Gerson and Nehls, Thomas and Scharr, Christian and Froitzheim, Pascal and Flügge, Wilko and Wiesenmayer, Sebastian and Merklein, Marion}}, booktitle = {{Pressen, Systeme, Prozesse der Zukunft Effizienz + Digitalisierung}}, isbn = {{978-3-86776-586-2}}, publisher = {{Europäische Forschungsgesellschaft für Blechverarbeitung e.V.}}, title = {{{Metamodellbasierte Prozesskette - Umformen-Schneiden-Spannen-Fügen}}}, volume = {{T 50}}, year = {{2022}}, } @book{31149, author = {{Meschut, Gerson and Heyser, Per and Merklein, Marion and Wiesenmayer, Sebastian and Flügge, Wilko and Scharr, Christian and Nehls, Thomas}}, isbn = {{978-3-86776-636-4}}, publisher = {{Europäische Forschungsgesellschaft für Blechverarbeitung e.V}}, title = {{{Konzeption einer adaptiven Prozesskette für das mechanische Fügen}}}, volume = {{578}}, year = {{2022}}, } @inproceedings{31151, author = {{Heyser, Per and Wiesenmayer, Sebastian and Nehls, Thomas and Scharr, Christian and Flügge, Wilko and Merklein, Marion and Meschut, Gerson}}, booktitle = {{SMART PRODUCTION 2022: DIGITALIZING AUTOMOTIVE MANUFACTURING}}, location = {{Bad Nauheim}}, publisher = {{Automotive Circle}}, title = {{{Smart process chain – data analysis in sheet metal processing for joinability prediction}}}, year = {{2022}}, }