TY - JOUR AB - Additive plasticity in the logarithmic strain space is compared to multiplicative plasticity for various loading cases including coaxial and non-coaxial plastic deformations. Even though both finite plasticity approaches are based on total Lagrangian descriptions, the former is popular due to its inherent similarity to the infinitesimal theory and its easy extensibility. However, since its introduction several limitations of additive plasticity in the logarithmic strain space have been discovered. In this study, these problems such as stress rotation and softening are considered, revealing that fundamental differences compared to multiplicative plasticity occur for non-coaxial plastic deformations. We focus in particular on the observed softer response of the additive based approach, which is analysed in depth using three numerical examples including two well-known benchmarks for finite plasticity. By means of these finite element simulations the softer and possibly even localising response of additive plasticity in the logarithmic strain space is confirmed. AU - Friedlein, J. AU - Mergheim, J. AU - Steinmann, P. ID - 30627 JF - International Journal of Solids and Structures TI - Observations on additive plasticity in the logarithmic strain space at excessive strains VL - 239-240 ER - TY - JOUR AU - Chang, M. AU - Büchel, Daniel AU - Reinecke, K. AU - Lehmann, T. AU - Baumeister, Jochen ID - 29182 JF - European Journal of Neuroscience KW - General Neuroscience SN - 0953-816X TI - Ecological Validity in Exercise Neuroscience Research: A Systematic Investigation ER - TY - CONF AB - 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. AU - Werner, Stefan AU - Schneider, Stefan Balthasar AU - Karl, Holger ID - 29220 KW - network management KW - service management KW - AI KW - Monte Carlo Tree Search KW - model-based KW - QoS T2 - IEEE/IFIP Network Operations and Management Symposium (NOMS) TI - Use What You Know: Network and Service Coordination Beyond Certainty ER - TY - JOUR AU - Schmolke, Tobias AU - Krüger, Christopher AU - Merdivan, David AU - Meschut, Gerson ID - 29296 IS - 1 JF - ATZ worldwide TI - Weight-optimized Battery Housings for Volume Vehicles VL - 124 ER - TY - CONF AU - Sander, Sascha AU - Teutenberg, Dominik AU - Meschut, Gerson AU - Kötz, Fabian AU - Matzenmiller, Anton AU - Kasper, Yann AU - Ummenhofer, Thomas ID - 29342 T2 - 22. Kolloquium Gemeinsame Forschung in der Klebtechnik TI - Methodenentwicklung zur rechnerischen Auslegung geklebter Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und Anlagenbau ER - TY - JOUR AB - 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. AU - Arnold, Marc AU - Pelster, Matthias AU - Subrahmanyam, Marti G. ID - 21571 IS - 2 JF - Journal of Financial Economics TI - Attention triggers and investors' risk-taking VL - 143 ER - TY - CONF AB - 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. AU - Ecker, Wolfgang AU - Adelt, Peer AU - Müller, Wolfgang AU - Heckmann, Reinhold AU - Krstic, Milos AU - Herdt, Vladimir AU - Drechsler, Rolf AU - Angst, Gerhard AU - Wimmer, Ralf AU - Mauderer, Andreas AU - Stahl, Rafael AU - Emrich, Karsten AU - Mueller-Gritschneder, Daniel AU - Becker, Bernd AU - Scholl, Philipp AU - Jentzsch, Eyck AU - Schlamelcher, Jan AU - Grüttner, Kim AU - Bernardo, Paul Palomero AU - Brinkmann, Oliver AU - Damian, Mihaela AU - Oppermann, Julian AU - Koch, Andreas AU - Bormann, Jörg AU - Partzsch, Johannes AU - Mayr, Christian AU - Kunz, Wolfgang ID - 29302 T2 - In Proceedings of the Design Automation and Test Conference and Exhibition (DATE 2022) TI - The Scale4Edge RISC-V Ecosystem ER - TY - JOUR AU - Schmolke, Tobias AU - Krüger, Christopher AU - Merdivan, David AU - Meschut, Gerson ID - 29295 IS - 1 JF - ATZ - Automobiltechnische Zeitschrift TI - Gewichtsoptimierte Batteriegehäuse für Volumenfahrzeuge VL - 124 ER - TY - CHAP AU - Mildorf, Jarmila ED - Schachtner, Christina ED - Drews, Albert ID - 29355 T2 - Erzählte Welt: Sinnstiftung in Zeiten kultureller und politischer Umbrüche TI - Durch Andere sich selbst erzählen: Figuren der Selbststilisierung in autobiographischen Schriften von Alan Bennett und Candia McWilliam VL - 9 ER - TY - JOUR AU - Sperling, Martina AU - Schryen, Guido ID - 23415 IS - 2 JF - European Journal of Operational Research (EJOR) TI - Decision Support for Disaster Relief: Coordinating Spontaneous Volunteers VL - 299 ER - TY - JOUR AU - Koldewey, Christian AU - Rasor, Anja AU - Reinhold, Jannik AU - Gausemeier, Jürgen AU - Dumitrescu, Roman AU - Chohan, Nadia AU - Frank, Maximilian ID - 27776 JF - Technological Forecasting and Social Change SN - 0040-1625 TI - Aligning strategic position, behavior, and structure for smart service businesses in manufacturing ER - TY - CONF AB - 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. AU - Kucklick, Jan-Peter ID - 29539 KW - Explainable Artificial Intelligence KW - XAI KW - Interpretability KW - Decision Support Systems KW - Taxonomy T2 - Wirtschaftsinformatik 2022 Proceedings TI - Towards a model- and data-focused taxonomy of XAI systems ER - TY - GEN AU - Lienen, Christian AU - Platzner, Marco ID - 29541 TI - ReconROS Executor: Event-Driven Programming of FPGA-accelerated ROS 2 Applications ER - TY - CHAP AB - 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. AU - Harteis, Christian AU - Goller, Michael AU - Gerholz, Karl-Heinz ED - Malloch, Margaret ED - Cairns, Len ED - Evans, Karen ED - O'Connor, Bridget N. ID - 29104 SN - 978-1-5264-9111-4 T2 - The SAGE Handbook of Learning and Work TI - Digitalization of work: Challenges for workplace learning ER - TY - JOUR AB - 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. AU - Caruso, Carina AU - Goller, Michael ID - 29103 IS - 4 JF - Die Deutsche Schule KW - Schlagwörter: Mentoring KW - Praxissemester KW - Professionalisierung TI - Die Relevanz von Mentor*innen für die Professionalisierung von angehenden Lehrkräften im Praxissemester: Forschungsdesiderate und Handlungsoptionen VL - 114 ER - TY - THES AB - 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. AU - Niehues, David ID - 29763 KW - public-key cryptography KW - lattices KW - pairings KW - verifiable random functions KW - identity-based encryption TI - More Efficient Techniques for Adaptively-Secure Cryptography ER - TY - JOUR AB - 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. AU - Holtmann, Jörg AU - Deantoni, Julien AU - Fockel, Markus ID - 31071 JF - Software and Systems Modeling KW - Modeling and Simulation KW - Software SN - 1619-1366 TI - Early timing analysis based on scenario requirements and platform models ER - TY - JOUR AU - Ring, Julia AU - Tadic, Jelena AU - Ristic, Selena AU - Poglitsch, Michael AU - Bergmann, Martina AU - Radic, Nemanja AU - Mossmann, Dirk AU - Liang, YongTian AU - Maglione, Marta AU - Jerkovic, Andrea AU - Hajiraissi, Roozbeh AU - Hanke, Marcel AU - Küttner, Victoria AU - Wolinski, Heimo AU - Zimmermann, Andreas AU - Domuz Trifunović, Lana AU - Mikolasch, Leonie AU - Moretti, Daiana N AU - Broeskamp, Filomena AU - Westermayer, Julia AU - Abraham, Claudia AU - Schauer, Simon AU - Dammbrueck, Christopher AU - Hofer, Sebastian J AU - Abdellatif, Mahmoud AU - Grundmeier, Guido AU - Kroemer, Guido AU - Braun, Ralf J AU - Hansen, Niklas AU - Sommer, Cornelia AU - Ninkovic, Mirjana AU - Seba, Sandra AU - Rockenfeller, Patrick AU - Vögtle, Friederike‐Nora AU - Dengjel, Jörn AU - Meisinger, Chris AU - Keller, Adrian AU - Sigrist, Stephan J AU - Eisenberg, Tobias AU - Madeo, Frank ID - 30739 JF - EMBO Molecular Medicine KW - Molecular Medicine SN - 1757-4676 TI - The HSP40 chaperone Ydj1 drives amyloid beta 42 toxicity VL - 14 ER - TY - CONF AU - Heyser, Per AU - Meschut, Gerson AU - Nehls, Thomas AU - Scharr, Christian AU - Froitzheim, Pascal AU - Flügge, Wilko AU - Wiesenmayer, Sebastian AU - Merklein, Marion ID - 31150 SN - 978-3-86776-586-2 T2 - Pressen, Systeme, Prozesse der Zukunft Effizienz + Digitalisierung TI - Metamodellbasierte Prozesskette - Umformen-Schneiden-Spannen-Fügen VL - T 50 ER - TY - BOOK AU - Meschut, Gerson AU - Heyser, Per AU - Merklein, Marion AU - Wiesenmayer, Sebastian AU - Flügge, Wilko AU - Scharr, Christian AU - Nehls, Thomas ID - 31149 SN - 978-3-86776-636-4 TI - Konzeption einer adaptiven Prozesskette für das mechanische Fügen VL - 578 ER -