TY - JOUR AU - Blank, Andreas ID - 50863 IS - 6 JF - History of European Ideas TI - “The Morality of the Desire for Esteem: Gassendi and the Augustinian Challenge.” VL - 47 ER - TY - JOUR AU - Blank, Andreas ID - 50864 IS - 4 JF - European Journal of Philosophy TI - “Wolff on Duties of Esteem in the Law of Peoples.” VL - 29 ER - TY - CHAP AU - Haker, Christoph AU - Otterspeer, Lukas ED - Sehmer, Julian ED - Simon, Stephanie ED - Ten Elsen, Jennifer ED - Thiele, Felix ID - 51310 SN - 9783658325596 T2 - recht extrem? Dynamiken in zivilgesellschaftlichen Räumen TI - Die epistemische Dimension der Neuen Rechten. Von einer Kritik des Wissenschafts- und Bildungsverständnisses der Neuen Rechten zu einer Selbstkritik ER - TY - JOUR AB - Critique has run out of steam – this diagnosis by Bruno Latour is crucial for the “Manifesto for post-critical education” as well as for the on_education issue “The Fatique of Critique?”. With this essay, we contradict Latour's diagnosis. Latour’s polemic against critique is based firstly on a questionable diagnosis of our time and secondly on a general and programmatic critique of sociology. Against that, we bring out two main points. The first insight highlights that change is initially dependent on variations that can only arise from a negation of the existing. The second insight comes from the sociology of critique, which paradoxically sees success in the failure of critique. AU - Haker, Christoph AU - Otterspeer, Lukas ID - 51315 IS - 9 JF - On Education. Journal for Research and Debate SN - 2571-7855 TI - Against Latour – On the Questionable Foundations of Post-Critical Pedagogy VL - 3 ER - TY - JOUR AU - Haker, Christoph AU - Otterspeer, Lukas ID - 51311 JF - BEHEMOTH. A Journal on Civilisation TI - Die Beweglichkeit der Kritik: zur Wechselbeziehung von Kontextualisierung und Objektivierung im digitalen Zeitalter ER - TY - JOUR AB - To analyze the influence of suspension kinematics on tire wear, detailed simulation models are required. In this study, a non-linear, flexible multibody model of a rear axle system is built up in the simulation software MSC Adams/View. The physical model comprises the suspension kinematics, compliance, and dynamics as well as the non-linear behavior of the tire using the FTire model. FTire is chosen because it has a separate tire tread model to compute the contact pressure and friction force distribution in the tire contact patch. To build up the simulation model, a large amount of data is needed. Bushings, spring, and damper characteristics are modeled based on measurements. For the structural components (e.g., control arms), reverse engineering techniques are used. The components are 3D-scanned, reworked, and included as a modal reduced finite element (FE)-model using component mode synthesis by Craig–Bampton. Finally, the suspension model is validated by comparing the simulated kinematic and compliance characteristics to experimental results. To investigate the interaction of suspension kinematics and tire wear, straight line driving events, such as acceleration, driving with constant velocity, and deceleration, are simulated with different setups of wheel suspension kinematics. The influence of the setups on the resulting friction work between tire and road is examined, and an exemplarily calculation of tire wear based on a validated FTire tire model is carried out. The results demonstrate, on the one hand, that the chosen concept of elasto-kinematic axle leads to a relatively good match with experimental results and, on the other hand, that there are significant possibilities to reduce tire wear by adjusting the suspension kinematics. AU - Schütte, Jan AU - Sextro, Walter ID - 27508 JF - Vehicles SN - 2624-8921 TI - Tire Wear Reduction Based on an Extended Multibody Rear Axle Model ER - TY - JOUR AU - Martin, Sven AU - Schütte, Jan AU - Bäumler, C. AU - Sextro, Walter AU - Tröster, Thomas ID - 29293 JF - Forces in Mechanics SN - 2666-3597 TI - Identification of joints for a load-adapted shape in a body in white using steady state vehicle simulations VL - 6 ER - TY - CHAP AU - Schneider, Jennifer Nicole ED - Beutner, Marc ED - Pechuel, Rasmus ED - Schneider, Jennifer ID - 47962 T2 - Fostering Digitisation and Industry 4.0: Education – Vocation - Industry – Future. New Opportunities and Challenges for European VET. Insights in the DigI-VET Project TI - Digitalisation in the Classroom – Learning Tools ER - TY - BOOK ED - Beutner, Marc ED - Pechuel, Rasmus ED - Schneider, Jennifer Nicole ID - 47978 TI - Fostering Digitisation and Industry 4.0: Education – Vocation – Industry – Future. New Opportunities and Challenges for European VET. Insight in the DigI-VET Project ER - TY - GEN AU - Hilgert, Joachim AU - Weich, Tobias AU - Wolf, L. ID - 51503 TI - Higher-rank quantum-classical correspondence ER - TY - BOOK AU - Degeling, Jasmin ID - 50808 TI - Medien der Sorge, Techniken des Selbst. Praktiken des Über-sich-selbst-Schreibens bei Christoph Schlingensief und Elfriede Jelinek ER - TY - BOOK AU - Richter, Susanne ID - 51785 KW - {\textless}3 SN - 978-3-593-51403-1 TI - Hallo Schönheiten! Performances und Aushandlungen der Geschlechterordnung in der YouTube-Beauty-Community ER - TY - JOUR AU - Ried, Dennis ID - 52102 IS - 39 JF - Mitteilungen der IMRG TI - Weltweite Verfügbarkeit und digitale Langzeitarchivierung ER - TY - GEN AU - Nassery, Idris AU - Tatari, Muna AU - Mustafa, Abdul Rahman ID - 52552 TI - Conference Report: Dynamics of Tradition: Islamic Theology and Law in Relation (September 17-19, 2021, Paderborn) VL - 13/14 ER - TY - JOUR AU - Jenert, Tobias AU - Kremer, H.-Hugo ID - 24971 JF - bwp@ Berufs- und Wirtschaftspädagogik – online TI - Digitale Prozessintegration in berufs- und wirtschaftspädagogischen Studiengängen – Überlegungen zur Professionalität und professionellen Entwicklung VL - 40 ER - TY - JOUR AU - Büker, Ronja ID - 52707 IS - 3 JF - Zeitschrift für Hochschulentwicklung TI - Being a first-year student during COVID-19 pandemic VL - 16 ER - TY - JOUR AB - Lehrer*innen können dazu beitragen, dass bestehende soziale Ungleichheiten verstärkt oder auch abgebaut werden. Eine wichtige Rolle spielen dabei der sogenannte Habitus der Lehrer*innen und dessen (Nicht-)Passung zur sozialen Herkunft der Schüler*innen. In diesem Text stelle ich die Frage, wie angehende Lehrer*innen im Studium unterstützt werden können, die Bedeutung eigener habitueller Prägungen für das professionelle Handeln als Lehrperson zu reflektieren. Ganz besonders befasse ich mich mit der Rolle der Lehrer*innenbildner*innen bei der Förderung von solchen habitusreflexiven Kompetenzen. Hier spielen das Selbst der Hochschullehrenden und die bildungsbiographischen Erfahrungen, die auf dem Weg in die Hochschule gemacht wurden, eine wichtige Rolle. AU - Jenert, Tobias ID - 52706 IS - 5 JF - PraxisForschungLehrer*innenbildung TI - Anderssein als Ressource: Habitus und Habitusreflexion in der Lehrer*innenbildung VL - 3 ER - TY - CHAP AU - Jenert, Tobias AU - Bosse, Elke ID - 52716 SN - 9783658336660 T2 - Transfer von Innovation und Wissen TI - Lehrentwicklung an Hochschulen als transferorientierte Netzwerkarbeit: Das Bündnis für Hochschullehre Lehren ER - TY - JOUR AB - Research on student transition into Higher Education (HE) has taken different theoretical perspectives. First, studies investigated personal variables such as students´ self-efficacy, emotions and motivation regarding the transition from school to HE. A second strand of research focused on contextual variables, for instance college effectiveness research. With this paper, we combine both the personal and the contextual approach. We aim to investigate the interaction between personal and contextual diversity during the transition into HE, taking into account students’ diversity in particular with regard to gender and individual characteristics, such as self-efficacy. We explored the heterogeneity in students’ personal characteristics by conducting a latent profile analysis (LPA) based on students’ intrinsic motivation, self-efficacy and anxiety before entering Higher Education. LPA resulted in three distinct profiles, with significant differences in how students perceived the first year. This finding suggests that students’ personal characteristics when entering Higher Education influence how they experience the study environment. To investigate the interplay between individual and contextual differences in more detail, we conducted a qualitative longitudinal study with 14 first-year students in parallel with the panel survey. We found that individual students react very differently to specific characteristics and events of the first-year environment. Our study adds to the growing body of research that aims to grasp the complexity of interactions between individual and contextual differences. Specifically, we illustrate how combining quantitative and qualitative methods can provide new insights into person-context interactions. AU - Jenert, Tobias AU - Brahm, Taiga ID - 52704 IS - 2 JF - Frontline Learning Research KW - Education SN - 2295-3159 TI - The interplay of personal and contextual diversity during the first year at Higher Education: Combining a quantitative and a qualitative approach VL - 9 ER - TY - THES AB - Designprozesse von Schallwandlern werden durch zunehmende Rechenkapazitäten immer mehr durch simulative Betrachtungen unterstützt. Dabei ist vor allem die Wahl der Materialparameter der verwendeten Materialien wichtig für ein realitätsnahes Simulationsergebnis. Bei Schallwandlern werden häufig Piezokeramiken als aktive Elemente genutzt, welche sich durch eine Verkopplung mechanischer und elektrischer Eigenschaften auszeichnen. Zur Bestimmung ihrer Materialparameter stellt der IEEE Standard on Piezoelectricity ein standardisiertes Verfahren dar. Dazu sind fünf Impedanzmessungen an vier unterschiedlich gefertigten Probekörpergeometrien notwendig. Da an jedem einzelnen Probekörper nur eine Untermenge aller notwendigen Materialparameter bestimmt werden kann, werden diese dann zu einem kompletten Materialparametersatz zusammengefügt. Aufgrund der unterschiedlichen Prozessbedingungen, bei denen die jeweiligen Probekörper hergestellt werden, ist dieser Materialparametersatz jedoch inkonsistent und kann nie das Verhalten einer einzelnen Probe beschreiben. Daher wird in der vorliegenden Arbeit ein Messverfahren entwickelt, mit dem es möglich ist, alle relevanten Materialparameter unter besonderer Berücksichtigung von Dämpfung an einem einzelnen Probekörper allein durch Impedanzmessungen zu bestimmen. Als Probekörper wird dazu eine in der Anwendung häufig verwendete Scheibengeometrie verwendet. Um eine hinreichend hohe Sensitivität auf alle Materialparameter zu gewährleisten, wird diese mit einer optimierten Elektrodentopologie gefertigt. Da in diesem Fall keine analytische Betrachtung mehr möglich ist, wird das Messverfahren durch einen inversen Ansatz realisiert. AU - Feldmann, Nadine ID - 6563 TI - Ein modellbasiertes Messverfahren zur Charakterisierung von Piezokeramiken unter Verwendung eines einzelnen scheibenförmigen Probekörpers ER - TY - CHAP AU - Sacher, Marc AU - Bauer, Anna ED - Terkowsky, Claudius ED - May, Dominik ED - Frye, Silke ED - Haertel, Tobias ED - Ortelt, Tobias ED - Heix, Sabrina ED - Lensing, Karsten ID - 24951 T2 - Labore in der Hochschullehre. Didaktik, Digitalisierung, Organisation TI - Kompetenzförderung im Laborpraktikum ER - TY - JOUR AU - Bauer, Anna AU - Sacher, Marc AU - Brassat, Katharina ID - 24952 JF - hochschullehre TI - Studentische Akzeptanz und Relevanzwahrnehmung eines disziplinspezifischen Workshops „Wissenschaftliche Vorträge in der Physik“ VL - 6 ER - TY - JOUR AU - Bauer, Anna AU - Reinhold, Peter AU - Sacher, Marc ID - 24956 JF - Phydid B, Didaktik der Physik, Beiträge zur DPG-Frühjahrstagung TI - Entwicklung eines Bewertungsmodells zur handlungsorientierten Messung experimenteller Kompetenz (Physik)Studierender ER - TY - CHAP AU - Bauer, Anna AU - Reinhold, Peter AU - Sacher, Marc ED - Habig, Sebastian ID - 24957 T2 - Naturwissenschaftliche Kompetenzen in der Gesellschaft von morgen TI - Bewertungsmodell zur experimentellen Performanz (Physik)Studierender ER - TY - JOUR AB - Die Frage, wie sich die Weiterentwicklung der Lehre an Hochschulen systematisch verankern lässt, erfährt mit dem Auslaufen von Förderprogrammen wie dem QPL erneute Aufmerksamkeit. Bislang fehlt es an einer kontextspezifischen Theorie, die lehrbezogenen Wandel an Hochschulen analysier- und gestaltbar macht. In jedem Fall sind Change-Konzepte aus dem betriebswirtschaftlichen Bereich nur sehr beschränkt auf Hochschulen übertragbar. Demgegenüber gibt neuere Forschung Hinweise darauf, welche Kernkategorien eine hochschulspezifische Change- Theorie umfassen könnte. Darauf aufbauend schlägt der Beitrag zwei Konzepte als Kernkategorien einer Theorie lehrbezogenen Wandels an Hochschulen vor. AU - Jenert, Tobias ID - 24973 IS - 4 JF - Zeitschrift für Hochschulentwicklung KW - educational development KW - change management KW - educational innovation TI - Überlegungen auf dem Weg zu einer Theorie lehrbezogenen Wandels an Hochschulen VL - 15 ER - TY - GEN AB - Micro- and smart grids (MSG) play an important role both for integrating renewable energy sources in conventional electricity grids and for providing power supply in remote areas. Modern MSGs are largely driven by power electronic converters due to their high efficiency and flexibility. Nevertheless, controlling MSGs is a challenging task due to highest requirements on energy availability, safety and voltage quality within a wide range of different MSG topologies. This results in a high demand for comprehensive testing of new control concepts during their development phase and comparisons with the state of the art in order to ensure their feasibility. This applies in particular to data-driven control approaches from the field of reinforcement learning (RL), whose stability and operating behavior can hardly be evaluated a priori. Therefore, the OpenModelica Microgrid Gym (OMG) package, an open-source software toolbox for the simulation and control optimization of MSGs, is proposed. It is capable of modeling and simulating arbitrary MSG topologies and offers a Python-based interface for plug \& play controller testing. In particular, the standardized OpenAI Gym interface allows for easy RL-based controller integration. Besides the presentation of the OMG toolbox, application examples are highlighted including safe Bayesian optimization for low-level controller tuning. AU - Bode, Henrik AU - Heid, Stefan Helmut AU - Weber, Daniel AU - Hüllermeier, Eyke AU - Wallscheid, Oliver ID - 19603 T2 - arXiv:2005.04869 TI - Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control ER - TY - CONF AB - Mobile shopping apps have been using Augmented Reality (AR) in the last years to place their products in the environment of the customer. While this is possible with atomic 3D objects, there is is still a lack in the runtime configuration of 3D object compositions based on user needs and environmental constraints. For this, we previously developed an approach for model-based AR-assisted product configuration based on the concept of Dynamic Software Product Lines. In this demonstration paper, we present the corresponding tool support ProConAR in the form of a Product Modeler and a Product Configurator. While the Product Modeler is an Angular web app that splits products (e.g. table) up into atomic parts (e.g. tabletop, table legs, funnier) and saves it within a configuration model, the Product Configurator is an Android client that uses the configuration model to place different product configurations within the environment of the customer. We show technical details of our ready to use tool-chain ProConAR by describing its implementation and usage as well as pointing out future research directions. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Schmidt, Eugen AU - Engels, Gregor ED - Bernhaupt, Regina ED - Ardito, Carmelo ED - Sauer, Stefan ID - 19606 KW - Product Configuration KW - Augmented Reality KW - Model-based KW - Tool Support T2 - Human-Centered Software Engineering. HCSE 2020 TI - ProConAR: A Tool Support for Model-based AR Product Configuration VL - 12481 ER - TY - CONF AB - Modern services consist of modular, interconnected components, e.g., microservices forming a service mesh. To dynamically adjust to ever-changing service demands, service components have to be instantiated on nodes across the network. Incoming flows requesting a service then need to be routed through the deployed instances while considering node and link capacities. Ultimately, the goal is to maximize the successfully served flows and Quality of Service (QoS) through online service coordination. Current approaches for service coordination are usually centralized, assuming up-to-date global knowledge and making global decisions for all nodes in the network. Such global knowledge and centralized decisions are not realistic in practical large-scale networks. To solve this problem, we propose two algorithms for fully distributed service coordination. The proposed algorithms can be executed individually at each node in parallel and require only very limited global knowledge. We compare and evaluate both algorithms with a state-of-the-art centralized approach in extensive simulations on a large-scale, real-world network topology. Our results indicate that the two algorithms can compete with centralized approaches in terms of solution quality but require less global knowledge and are magnitudes faster (more than 100x). AU - Schneider, Stefan Balthasar AU - Klenner, Lars Dietrich AU - Karl, Holger ID - 19607 KW - distributed management KW - service coordination KW - network coordination KW - nfv KW - softwarization KW - orchestration T2 - IEEE International Conference on Network and Service Management (CNSM) TI - Every Node for Itself: Fully Distributed Service Coordination ER - TY - CONF AB - Modern services comprise interconnected components, e.g., microservices in a service mesh, that can scale and run on multiple nodes across the network on demand. To process incoming traffic, service components have to be instantiated and traffic assigned to these instances, taking capacities and changing demands into account. This challenge is usually solved with custom approaches designed by experts. While this typically works well for the considered scenario, the models often rely on unrealistic assumptions or on knowledge that is not available in practice (e.g., a priori knowledge). We propose a novel deep reinforcement learning approach that learns how to best coordinate services and is geared towards realistic assumptions. It interacts with the network and relies on available, possibly delayed monitoring information. Rather than defining a complex model or an algorithm how to achieve an objective, our model-free approach adapts to various objectives and traffic patterns. An agent is trained offline without expert knowledge and then applied online with minimal overhead. Compared to a state-of-the-art heuristic, it significantly improves flow throughput and overall network utility on real-world network topologies and traffic traces. It also learns to optimize different objectives, generalizes to scenarios with unseen, stochastic traffic patterns, and scales to large real-world networks. AU - Schneider, Stefan Balthasar AU - Manzoor, Adnan AU - Qarawlus, Haydar AU - Schellenberg, Rafael AU - Karl, Holger AU - Khalili, Ramin AU - Hecker, Artur ID - 19609 KW - self-driving networks KW - self-learning KW - network coordination KW - service coordination KW - reinforcement learning KW - deep learning KW - nfv T2 - IEEE International Conference on Network and Service Management (CNSM) TI - Self-Driving Network and Service Coordination Using Deep Reinforcement Learning ER - TY - JOUR AU - Kreusser, Lisa Maria AU - McLachlan, Robert I AU - Offen, Christian ID - 19939 IS - 5 JF - Nonlinearity SN - 0951-7715 TI - Detection of high codimensional bifurcations in variational PDEs VL - 33 ER - TY - THES AB - Ordinary differential equations (ODEs) and partial differential equations (PDEs) arise in most scientific disciplines that make use of mathematical techniques. As exact solutions are in general not computable, numerical methods are used to obtain approximate solutions. In order to draw valid conclusions from numerical computations, it is crucial to understand which qualitative aspects numerical solutions have in common with the exact solution. Symplecticity is a subtle notion that is related to a rich family of geometric properties of Hamiltonian systems. While the effects of preserving symplecticity under discretisation on long-term behaviour of motions is classically well known, in this thesis (a) the role of symplecticity for the bifurcation behaviour of solutions to Hamiltonian boundary value problems is explained. In parameter dependent systems at a bifurcation point the solution set to a boundary value problem changes qualitatively. Bifurcation problems are systematically translated into the framework of classical catastrophe theory. It is proved that existing classification results in catastrophe theory apply to persistent bifurcations of Hamiltonian boundary value problems. Further results for symmetric settings are derived. (b) It is proved that to preserve generic bifurcations under discretisation it is necessary and sufficient to preserve the symplectic structure of the problem. (c) The catastrophe theory framework for Hamiltonian ODEs is extended to PDEs with variational structure. Recognition equations for A-series singularities for functionals on Banach spaces are derived and used in a numerical example to locate high-codimensional bifurcations. (d) The potential of symplectic integration for infinite-dimensional Lie-Poisson systems (Burgers’ equation, KdV, fluid equations, . . . ) using Clebsch variables is analysed. It is shown that the advantages of symplectic integration can outweigh the disadvantages of integrating over a larger phase space introduced by a Clebsch representation. (e) Finally, the preservation of variational structure of symmetric solutions in multisymplectic PDEs by multisymplectic integrators on the example of (phase-rotating) travelling waves in the nonlinear wave equation is discussed. AU - Offen, Christian ID - 19947 TI - Analysis of Hamiltonian boundary value problems and symplectic integration ER - TY - CONF AB - Current GNN architectures use a vertex neighborhood aggregation scheme, which limits their discriminative power to that of the 1-dimensional Weisfeiler-Lehman (WL) graph isomorphism test. Here, we propose a novel graph convolution operator that is based on the 2-dimensional WL test. We formally show that the resulting 2-WL-GNN architecture is more discriminative than existing GNN approaches. This theoretical result is complemented by experimental studies using synthetic and real data. On multiple common graph classification benchmarks, we demonstrate that the proposed model is competitive with state-of-the-art graph kernels and GNNs. AU - Damke, Clemens AU - Melnikov, Vitaly AU - Hüllermeier, Eyke ED - Jialin Pan, Sinno ED - Sugiyama, Masashi ID - 19953 KW - graph neural networks KW - Weisfeiler-Lehman test KW - cycle detection T2 - Proceedings of the 12th Asian Conference on Machine Learning (ACML 2020) TI - A Novel Higher-order Weisfeiler-Lehman Graph Convolution VL - 129 ER - TY - CONF AU - Spliethöver, Maximilian AU - Wachsmuth, Henning ID - 20139 T2 - Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020) TI - Argument from Old Man's View: Assessing Social Bias in Argumentation ER - TY - JOUR AU - Otroshi, Mortaza AU - Meschut, Gerson ID - 20170 IS - 7/20 JF - Umformtechnik Blech Rohre Profile SN - 0300-3167 TI - Spannungszustandsabhängige Schädigungsmodellierung zum Halbhohlstanznieten ER - TY - GEN AU - Hemsen, Paul AU - Hesse, Marc AU - Löken, Nils AU - Nouri, Zahra ID - 20191 T2 - 2nd Crowdworking Symposium TI - Platform-independent Reputation and Qualification System for Crowdwork ER - TY - GEN AB - In many real-world applications, the relative depth of objects in an image is crucial for scene understanding, e.g., to calculate occlusions in augmented reality scenes. Predicting depth in monocular images has recently been tackled using machine learning methods, mainly by treating the problem as a regression task. Yet, being interested in an order relation in the first place, ranking methods suggest themselves as a natural alternative to regression, and indeed, ranking approaches leveraging pairwise comparisons as training information ("object A is closer to the camera than B") have shown promising performance on this problem. In this paper, we elaborate on the use of so-called \emph{listwise} ranking as a generalization of the pairwise approach. Listwise ranking goes beyond pairwise comparisons between objects and considers rankings of arbitrary length as training information. Our approach is based on the Plackett-Luce model, a probability distribution on rankings, which we combine with a state-of-the-art neural network architecture and a sampling strategy to reduce training complexity. An empirical evaluation on benchmark data in a "zero-shot" setting demonstrates the effectiveness of our proposal compared to existing ranking and regression methods. AU - Lienen, Julian AU - Hüllermeier, Eyke ID - 20211 T2 - arXiv:2010.13118 TI - Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce model ER - TY - JOUR AB - The challenge of designing new tunable nonlinear dielectric materials with tailored properties has attracted an increasing amount of interest recently. Herein, we study the effective nonlinear dielectric response of a stochastic paraelectric-dielectric composite consisting of equilibrium distributions of circular and partially penetrable disks (or parallel, infinitely long, identical, partially penetrable, circular cylinders) of a dielectric phase randomly dispersed in a continuous matrix of a paraelectric phase. The random microstructures were generated using the Metropolis Monte Carlo algorithm. The evaluation of the effective permittivity and tunability were carried out by employing either a Landau thermodynamic model or its Johnson’s approximation to describe the field-dependent permittivity of the paraelectric phase and solving continuum-electrostatics equations using finite element calculations. We reveal that the percolation threshold in this composite governs the critical behavior of the effective permittivity and tunability. For microstructures below the percolation threshold, our simulations demonstrate a strong nonlinear behaviour of the field-dependent effective permittivity and very high tunability that increases as a function of dielectric phase concentration. Above the percolation threshold, the effective permittivity shows the tendency to linearization and the tunability dramatically drops down. The highly reduced permittivity and extraordinarily high tunability are obtained for the composites with dielectric impenetrable disks at high concentrations, in which the triggering of the percolation transition is avoided. The reported results cast light on distinct nonlinear behaviour of 2D and 3D stochastic composites and can guide the design of novel composites with the controlled morphology and tailored permittivity and tunability. AU - Myroshnychenko, Viktor AU - Smirnov, Stanislav AU - Jose, Pious Mathews Mulavarickal AU - Brosseau, Christian AU - Förstner, Jens ID - 20233 JF - Acta Materialia SN - 1359-6454 TI - Nonlinear dielectric properties of random paraelectric-dielectric composites VL - 203 ER - TY - THES AU - Homt, Martina ID - 28416 TI - Die Anbahnung einer forschenden Grundhaltung im Praxissemester – eine empirische Analyse von Bedingungen und Entwicklungsverläufen ER - TY - JOUR AU - Engels, Gregor ID - 29045 JF - Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO) SN - 2366-6145 TI - Der digitale Fußabdruck, Schatten oder Zwilling von Maschinen und Menschen ER - TY - GEN AB - Previous accounting research shows that taxes affect decision making by individuals and firms. Most studies assume that agents have an accurate perception regarding their tax burden. However, there is a growing body of literature analyzing whether taxes are indeed perceived correctly. We review 127 studies on the measurement of tax misperception and its behavioral implications. The review reveals that many taxpayers have substantial tax misperceptions that lead to biased decision making. We develop a Behavioral Taxpayer Response Model on the impact of provided tax information on tax perception. Besides individual traits, characteristics of the tax information and the decision environment determine the extent of tax misperception. We discuss opportunities for future research and methodological limitations. While there is much evidence on tax misperception at the individual level, we hardly find any research at the firm level. Little is known about the real effects of managers’ tax misperception and on how tax information is strategically managed to impact stakeholders. This research gap is surprising as a large part of the accounting literature analyzes decision making and disclosure of firms. We recommend a mixed-method approach combining experiments, surveys, and archival data analyses to improve the knowledge on tax misperception and its consequences. AU - Blaufus, Kay AU - Chirvi, Malte AU - Huber, Hans-Peter AU - Maiterth, Ralf AU - Sureth-Sloane, Caren ID - 21406 TI - Tax Misperception and Its Effects on Decision Making - a Literature Review VL - No. 39 ER - TY - GEN AU - Bornemann, Tobias AU - Schipp, Adrian AU - Sureth-Sloane, Caren ID - 21407 TI - 2018/2019 Umfrage zur Steuerkomplexität in deutschen Finanzverwaltungen ER - TY - GEN AB - European regulation mandates public country-by-country reporting for banks and is expected to increase reputational costs in case of tax haven activities. We test whether the availability of additional public information on the locations of banks' subsidiaries reduces their tax haven presence. In a preliminary difference-in-difference analysis we find that indeed, tax haven presence in “Dot-Havens” has declined significantly after the introduction of mandatory public country-by-country reporting for European banks, as compared to the insurance industry which is not subject to this regulation. AU - Eberhartinger, Eva AU - Speitmann, Raffael AU - Sureth-Sloane, Caren ID - 21409 TI - Real Effects of Public Country-by-Country Reporting and the Firm Structure of European Banks VL - #2020-01 ER - TY - GEN AB - We analyze the impact of trust on bargaining behavior between auditor and auditee in a tax setting. We study the effect of interpersonal trust and trust in government on both taxpayer and tax auditor. In an experiment with variation in pairwise trust settings, we find evidence that both kinds of trust affect the bargaining behavior, albeit in different ways. While trust in government increases taxpayers’ tax offers, interpersonal trust may lead to more concessionary behavior of tax auditors moderated by trust in government. Our findings help tax authorities to shape programs to enhance compliance in an atmosphere of trust. AU - Eberhartinger, Eva AU - Speitmann, Raffael AU - Sureth-Sloane, Caren ID - 21410 TI - How Does Trust Affect Concessionary Behavior in Tax Bargaining? VL - No. 41 ER - TY - GEN AB - This study examines the visibility of the GAAP effective tax rate (ETR) in firms’ financial statements as a distinct disclosure choice. Applying a game-theory disclosure model for voluntary disclosure strategies of firms to a tax setting, we argue that firms face a trade-off in their ETR disclosure decisions. On the one hand, firms have an incentive to enhance their ETR disclosure when the ratio offers shareholders “favourable conditions”, for example in terms of higher expected after-tax cash-flows. On the other hand, the disclosure of a favourable low ETR could attract the attention of tax auditors and the public and ultimately result in disclosure costs. We empirically test disclosure behaviour by examining the relation between disclosure visibility and different ETR conditions that reflect different stakeholder specific costs and benefits. While we find that unfavourable ETR conditions are not highlighted, we observe higher disclosure visibility for favourable ETRs (smooth, close to the industry average, decreasing). Additional analyses reveal that this high visibility is characteristic of firm-years with only moderately decreasing ETRs at usual ETR levels, while extreme ETRs are not highlighted. Interestingly and in contrast to our main results, a subsample of family firms do not seem to highlight favourable ETRs. AU - Flagmeier, Vanessa AU - Müller, Jens AU - Sureth-Sloane, Caren ID - 21411 TI - When Do Firms Highlight Their Effective Tax Rate? VL - No. 37 ER - TY - GEN AU - Heile, Vanessa AU - Huber, Hans-Peter AU - Maiterth, Ralf AU - Sureth-Sloane, Caren ID - 21414 TI - Umfrage: Steuerliche Verwaltungskosten, steuerliche Corona-Soforthilfemaßnahmen und Investitionen in der Krise ER - TY - GEN AB - This article comprehensively reviews Australia’s corporate income tax complexity as faced by multinational corporations (MNCs) and compares it to the average of the remaining OECD countries. Building on unique survey data, I find that the Australian tax code is considerably more complex than the OECD average, which is mainly due to overly complex anti-avoidance legislation, such as regulations on transfer pricing, general anti-avoidance or controlled foreign corporations (CFC). In contrast, Australia’s tax framework, which covers processes and features such as tax law enactment or tax audits, is close to the OECD average. A more granular analysis yields further interesting insights. For example, excessive details in the tax code and the time between the announcement of a tax law change and its enactment turn out to be serious issues in Australia relative to the remaining OECD countries. AU - Hoppe, Thomas ID - 21416 TI - Tax Complexity in Australia - A Survey-Based Comparison to the OECD Average VL - No. 14 ER - TY - GEN AU - Hoppe, Thomas AU - Schanz, Deborah AU - Schipp, Adrian AU - Siegel, Felix AU - Sturm, Susann AU - Sureth-Sloane, Caren ID - 21417 TI - 2018 Global MNC Tax Complexity Survey ER - TY - GEN AB - This paper introduces an index that comprehensively measures the complexity of countries’ corporate income tax systems faced by multinational corporations. It builds on surveys of highly experienced tax consultants of the largest international tax services networks. The index, called the Tax Complexity Index (TCI), is composed of a tax code subindex covering tax regulations and a tax framework subindex covering tax processes and features. For a sample of 100 countries, we find that tax complexity varies considerably across countries, and tax code and framework complexity also vary within countries. Among others, tax complexity is strongly driven by the complexity of transfer pricing regulations in the tax code and tax audits in the tax framework. When analyzing the associations with other country characteristics, we identify different patterns. For example, with regard to GDP, we find a positive association with tax code complexity and a negative association with tax framework complexity, suggesting that highly economically developed countries tend to have more complex tax codes and less complex frameworks. Overall, our tax complexity measures can serve as valuable proxies in future research and supportive tools for a variety of firm decisions and national and international tax policy discussions. AU - Hoppe, Thomas AU - Schanz, Deborah AU - Sturm, Susann AU - Sureth-Sloane, Caren ID - 21418 TI - Measuring Tax Complexity Across Countries: A Survey Study on MNCs VL - No. 5 ER - TY - GEN AB - This paper analyzes the association between tax complexity and foreign direct investments (FDI) based on the newly developed Tax Complexity Index (TCI) and its components. For a sample of 15,607 new foreign subsidiaries, we find no association between total tax complexity, as proxied by the TCI, and the location probability. When we decompose the TCI into tax code complexity and tax framework complexity, we find opposing associations. Tax code complexity is positively related to the location probability, while tax framework complexity is negatively related to it. These associations are, for example, driven by the complexity of transfer pricing and loss offset regulations in the tax code and the dimensions guidance, audits, as well as filing and payments, in the tax framework. In additional analyses, we find that the associations are sensitive to certain characteristics, such as country-specific and firm-specific characteristics. For example, the positive tax code association diminishes when tax rates are high. Overall, we are the first to provide empirical evidence on potential cost-benefit tradeoffs of tax complexity for FDI and thereby enhance prior literature, which has primarily focused on the costs of tax complexity. AU - Hoppe, Thomas AU - Schanz, Deborah AU - Sturm, Susann AU - Sureth-Sloane, Caren AU - Voget, Johannes ID - 21419 TI - The Relation between Tax Complexity and Foreign Direct Investments: Evidence Across Countries VL - No. 13 ER - TY - JOUR AU - Sureth-Sloane, Caren ID - 21422 IS - 5 JF - AWV-Informationen TI - Steuerkomplexität als Standortfaktor. So komplex ist das Steuersystem in Deutschland ER - TY - CHAP AU - Hoppe, Julia Amelie AU - Johansson-Pajala, Rose-Marie AU - Gustafsson, Christine AU - Melkas, Helinä AU - Tusku, Outi AU - Pekkarinen, Satu AU - Hennala, Lea AU - Thommes, Kirsten ED - Haltaufderheide, Joschka ED - Hovemann, Johanna ED - Vollmann, Jochen ID - 17367 T2 - Aging between Participation and Simulation - Ethical Dimensions of Socially Assistive Technologies in elderly care TI - Assistive robots in care: Expectations and perceptions of older people ER - TY - JOUR AU - Chantakit, Teanchai AU - Schlickriede, Christian AU - Sain, Basudeb AU - Meyer, Fabian AU - Weiss, Thomas AU - Chattham, Nattaporn AU - Zentgraf, Thomas ID - 17390 IS - 9 JF - Photonics Research SN - 2327-9125 TI - All-dielectric silicon metalens for two-dimensional particle manipulation in optical tweezers VL - 8 ER - TY - JOUR AB - The development of renewable energies and smart mobility has profoundly impacted the future of the distribution grid. An increasing bidirectional energy flow stresses the assets of the distribution grid, especially medium voltage switchgear. This calls for improved maintenance strategies to prevent critical failures. Predictive maintenance, a maintenance strategy relying on current condition data of assets, serves as a guideline. Novel sensors covering thermal, mechanical, and partial discharge aspects of switchgear, enable continuous condition monitoring of some of the most critical assets of the distribution grid. Combined with machine learning algorithms, the demands put on the distribution grid by the energy and mobility revolutions can be handled. In this paper, we review the current state-of-the-art of all aspects of condition monitoring for medium voltage switchgear. Furthermore, we present an approach to develop a predictive maintenance system based on novel sensors and machine learning. We show how the existing medium voltage grid infrastructure can adapt these new needs on an economic scale. AU - Hoffmann, Martin W. AU - Wildermuth, Stephan AU - Gitzel, Ralf AU - Boyaci, Aydin AU - Gebhardt, Jörg AU - Kaul, Holger AU - Amihai, Ido AU - Forg, Bodo AU - Suriyah, Michael AU - Leibfried, Thomas AU - Stich, Volker AU - Hicking, Jan AU - Bremer, Martin AU - Kaminski, Lars AU - Beverungen, Daniel AU - zur Heiden, Philipp AU - Tornede, Tanja ID - 17426 JF - Sensors SN - 1424-8220 TI - Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions ER - TY - GEN AB - Syntactic annotation of corpora in the form of part-of-speech (POS) tags is a key requirement for both linguistic research and subsequent automated natural language processing (NLP) tasks. This problem is commonly tackled using machine learning methods, i.e., by training a POS tagger on a sufficiently large corpus of labeled data. While the problem of POS tagging can essentially be considered as solved for modern languages, historical corpora turn out to be much more difficult, especially due to the lack of native speakers and sparsity of training data. Moreover, most texts have no sentences as we know them today, nor a common orthography. These irregularities render the task of automated POS tagging more difficult and error-prone. Under these circumstances, instead of forcing the POS tagger to predict and commit to a single tag, it should be enabled to express its uncertainty. In this paper, we consider POS tagging within the framework of set-valued prediction, which allows the POS tagger to express its uncertainty via predicting a set of candidate POS tags instead of guessing a single one. The goal is to guarantee a high confidence that the correct POS tag is included while keeping the number of candidates small. In our experimental study, we find that extending state-of-the-art POS taggers to set-valued prediction yields more precise and robust taggings, especially for unknown words, i.e., words not occurring in the training data. AU - Heid, Stefan Helmut AU - Wever, Marcel Dominik AU - Hüllermeier, Eyke ID - 17605 T2 - Journal of Data Mining and Digital Humanities TI - Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction ER - TY - CONF AU - Haeb-Umbach, Reinhold ED - Böck, Ronald ED - Siegert, Ingo ED - Wendemuth, Andreas ID - 17763 KW - Poster SN - 978-3-959081-93-1 T2 - Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020 TI - Sprachtechnologien für Digitale Assistenten ER - TY - JOUR AB - We numerically simulate multiple light scattering in discrete disordered media represented by large clusters of irregular non-absorbing particles. The packing density of clusters is 0.5. With such conditions diffuse scattering is significantly reduced and light transport follows propagation channels that are determined by the particle size and topology of the medium. This kind of localization produces coherent backscattering intensity surge and enhanced negative polarization branch if compared to lower density samples. AU - Grynko, Yevgen AU - Shkuratov, Yuriy AU - Förstner, Jens ID - 17803 JF - Journal of Quantitative Spectroscopy and Radiative Transfer KW - tet_topic_scattering SN - 0022-4073 TI - Light backscattering from large clusters of densely packed irregular particles VL - 255 ER - TY - CONF AU - Reinhold, Jannik AU - Frank, Maximilian AU - Koldewey, Christian AU - Dumitrescu, Roman AU - Buss, Eugen ID - 18876 T2 - Proceedings of the ISPIM Connects Bangkok – Partnering for an Innovative Community TI - In-depth Analysis of the Effects of Smart Services on Value Creation ER - TY - JOUR AU - Eke, Norbert Otto ID - 19153 IS - 1 JF - German Life and Letters (Special Issue: Herta Müller and the Currents of European History) TI - Der ‚Eigene Kalender‘ des Erinnerns: Die Wahrheit der erfundenen Erinnerung in Herta Müllers Romanen, Erzählungen und Essays VL - 73 ER - TY - CHAP AU - Reinhold, Jannik AU - Koldewey, Christian AU - Dumitrescu, Roman ED - Buchholz, Birgit ED - Bürger, Matthias ID - 20568 T2 - Der Geschäftsmodell-Toolguide TI - GEMINI-Modellierungssprache für Wertschöpfungssysteme ER - TY - CHAP AU - Koldewey, Christian AU - Reinhold, Jannik AU - Dumitrescu, Roman ED - Buchholz, Birgit ED - Bürger, Matthias ID - 20570 T2 - Der Geschäftsmodell-Toolguide TI - GEMINI-Geschäftsmodellmuster-Kartenset ER - TY - CHAP AU - Koldewey, Christian AU - Reinhold, Jannik AU - Dumitrescu, Roman ED - Buchholz, Birgit ED - Bürger, Matthias ID - 20571 T2 - Der Geschäftsmodell-Toolguide TI - Geschäftsmodellvalidierung ER - TY - CHAP AU - Koldewey, Christian AU - Reinhold, Jannik AU - Dumitrescu, Roman ED - Buchholz, Birgit ED - Bürger, Matthias ID - 20573 T2 - Der Geschäftsmodell-Toolguide TI - Geschäftsmodell-Roadmapping ER - TY - CONF AU - Boeddeker, Christoph AU - Nakatani, Tomohiro AU - Kinoshita, Keisuke AU - Haeb-Umbach, Reinhold ID - 20695 SN - 9781509066315 T2 - ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) TI - Jointly Optimal Dereverberation and Beamforming ER - TY - CONF AU - Boeddeker, Christoph AU - Cord-Landwehr, Tobias AU - Heitkaemper, Jens AU - Zorila, Catalin AU - Hayakawa, Daichi AU - Li, Mohan AU - Liu, Min AU - Doddipatla, Rama AU - Haeb-Umbach, Reinhold ID - 20700 T2 - Proc. CHiME 2020 Workshop on Speech Processing in Everyday Environments TI - Towards a speaker diarization system for the CHiME 2020 dinner party transcription ER - TY - BOOK ED - Herzig, Bardo ED - Klar, Tilman-Mathies ED - Martin, Alexander ED - Meister, Dorothee ID - 20705 SN - 1424-3636 TI - Orientierungen in der digitalen Welt ER - TY - CONF AU - Camberg, Alan Adam AU - Tröster, Thomas ID - 20854 TI - A simplified method for the evaluation of the layer compression test using one 3D digital image correlation system and considering the material anisotropy by the equibiaxial Lankford parameter ER - TY - CONF AU - Camberg, Alan Adam AU - Erhart, Tobias AU - Tröster, Thomas ID - 20856 TI - Predicting fracture at non-isothermal forming conditions: A temperature dependent extension of the LS-DYNA GISSMO fracture indicator framework ER - TY - CONF AB - Augmented Reality (AR) has recently found high attention in mobile shopping apps such as in domains like furniture or decoration. Here, the developers of the apps focus on the positioning of atomic 3D objects in the physical environment. With this focus, they neglect the configuration of multi-faceted 3D object composition according to the user needs and environmental constraints. To tackle these challenges, we present a model-based approach to support AR-assisted product con-figuration based on the concept of Dynamic Software Product Lines. Our approach splits products (e.g. table) into parts (e.g. tabletop, ta-ble legs, funnier) with their 3D objects and additional information (e.g. name, price). The possible products, which can be configured out of these parts, are stored in a feature model. At runtime, this feature model can be used to configure 3D object compositions out of the product parts and adapt to user needs and environmental constraints. The benefits of this approach are demonstrated by a case study of configuring modular kitchens with the help of a prototypical mobile-based implementation. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Schmidt, Eugen AU - Engels, Gregor ED - Bernhaupt, Regina ED - Ardito, Carmelo ED - Sauer, Stefan ID - 18249 KW - Product Configuration KW - Augmented Reality KW - Runtime Adaptation KW - Dynamic Software Product Lines T2 - Human-Centered Software Engineering. HCSE 2020 TI - Model-based Product Configuration in Augmented Reality Applications VL - 12481 ER - TY - GEN AU - Schürmann, Patrick ID - 18637 TI - A Group Signature Scheme from Flexible Public Key Signatures and Structure-Preserving Signatures on Equivalence Classes ER - TY - JOUR AB - Many dimensionality and model reduction techniques rely on estimating dominant eigenfunctions of associated dynamical operators from data. Important examples include the Koopman operator and its generator, but also the Schrödinger operator. We propose a kernel-based method for the approximation of differential operators in reproducing kernel Hilbert spaces and show how eigenfunctions can be estimated by solving auxiliary matrix eigenvalue problems. The resulting algorithms are applied to molecular dynamics and quantum chemistry examples. Furthermore, we exploit that, under certain conditions, the Schrödinger operator can be transformed into a Kolmogorov backward operator corresponding to a drift-diffusion process and vice versa. This allows us to apply methods developed for the analysis of high-dimensional stochastic differential equations to quantum mechanical systems. AU - Klus, Stefan AU - Nüske, Feliks AU - Hamzi, Boumediene ID - 21819 JF - Entropy SN - 1099-4300 TI - Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator ER - TY - CONF AU - Bobolz, Jan AU - Eidens, Fabian AU - Krenn, Stephan AU - Slamanig, Daniel AU - Striecks, Christoph ID - 16487 T2 - Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (ASIA CCS ’20), TI - Privacy-Preserving Incentive Systems with Highly Efficient Point-Collection ER - TY - JOUR AU - Sain, Basudeb AU - Zentgraf, Thomas ID - 16839 JF - Light: Science & Applications SN - 2047-7538 TI - Metasurfaces help lasers to mode-lock VL - 9 ER - TY - JOUR AU - Zhou, Hongqiang AU - Sain, Basudeb AU - Wang, Yongtian AU - Schlickriede, Christian AU - Zhao, Ruizhe AU - Zhang, Xue AU - Wei, Qunshuo AU - Li, Xiaowei AU - Huang, Lingling AU - Zentgraf, Thomas ID - 16931 IS - 5 JF - ACS Nano SN - 1936-0851 TI - Polarization-Encrypted Orbital Angular Momentum Multiplexed Metasurface Holography VL - 14 ER - TY - CONF AB - The continuous innovation of its business models is an important task for a company to stay competitive. During this process, the company has to validate various hypotheses about its business models by adapting to uncertain and changing customer needs effectively and efficiently. This adaptation, in turn, can be supported by the concept of Software Product Lines (SPLs). SPLs reduce the time to market by deriving products for customers with changing requirements using a common set of features, structured as a feature model. Analogously, we support the process of business model adaptation by applying the engineering process of SPLs to the structure of the Business Model Canvas (BMC). We call this concept a Business Model Decision Line (BMDL). The BMDL matches business domain knowledge in the form of a feature model with customer needs to derive hypotheses about the business model together with experiments for validation. Our approach is effective by providing a comprehensive overview of possible business model adaptations and efficient by reusing experiments for different hypotheses. We implement our approach in a tool and illustrate the usefulness with an example of developing business models for a mobile application. AU - Gottschalk, Sebastian AU - Rittmeier, Florian AU - Engels, Gregor ID - 16933 KW - Business Model Decision Line KW - Business Model Adaptation KW - Hypothesis-driven Adaptation KW - Software Product Line KW - Feature Model T2 - Proceedings of the 22nd IEEE International Conference on Business Informatics TI - Hypothesis-driven Adaptation of Business Models based on Product Line Engineering ER - TY - CONF AB - To build successful products, the developers have to adapt their product features and business models to uncertain customer needs. This adaptation is part of the research discipline of Hypotheses Engineering (HE) where customer needs can be seen as hypotheses that need to be tested iteratively by conducting experiments together with the customer. So far, modeling support and associated traceability of this iterative process are missing. Both, in turn, are important to document the adaptation to the customer needs and identify experiments that provide most evidence to the customer needs. To target this issue, we introduce a model-based HE approach with a twofold contribution: First, we develop a modeling language that models hypotheses and experiments as interrelated hierarchies together with a mapping between them. While the hypotheses are labeled with a score level of their current evidence, the experiments are labeled with a score level of maximum evidence that can be achieved during conduction. Second, we provide an iterative process to determine experiments that offer the most evidence improvement to the modeled hypotheses. We illustrate the usefulness of the approach with an example of testing the business model of a mobile application. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Engels, Gregor ED - Shishkov, Boris ID - 16934 KW - Hypothesis Engineering KW - Model-based KW - Customer Need Adaptation KW - Business Model KW - Product Features T2 - Business Modeling and Software Design TI - Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs VL - 391 ER - TY - CONF AU - Triebus, Marcel AU - Tröster, Thomas ID - 16939 T2 - Proceedings 4th International Conference Hybrid Materials & Structures TI - A Holistic Approach to Optimization-Based Design of Hybrid Materials ER - TY - GEN AB - The scientific impact of research papers is multi-dimensional and can be determined quantitatively by means of citation analysis and qualitatively by means of content analysis. Accounting for the widely acknowledged limitations of pure citation analysis, we adopt a knowledge-based perspective on scientific impact to develop a methodology for content-based citation analysis which allows determining how papers have enabled knowledge development in subsequent research (knowledge impact). As knowledge development differs between research genres, we develop a new knowledgebased citation analysis methodology for the genre of standalone literature reviews (LRs). We apply the suggested methodology to the IS business value domain by manually coding 22 LRs and 1,228 citing papers (CPs) and show that the results challenge the assumption that citations indicate knowledge impact. We derive implications for distinguishing knowledge impact from citation impact in the LR genre. Finally, we develop recommendations for authors of LRs, scientific evaluation committees and editorial boards of journals how to apply and benefit from the suggested methodology, and we discuss its efficiency and automatization. AU - Schryen, Guido AU - Wagner, Gerit AU - Benlian, Alexander ID - 17019 KW - Scientific impact KW - knowledge impact KW - content-based citation analysis KW - methodology TI - Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre ER - TY - CONF AB - Understanding a new literature corpus can be a grueling experience for junior scholars. Nevertheless, corresponding guidelines have not been updated for decades. We contend that the traditional strategy of skimming all papers and reading selected papers afterwards needs to be revised. Therefore, we design a new strategy that guides the overall exploratory process by prioritizing influential papers for initial reading, followed by skimming the remaining papers. Consistent with schemata theory, starting with in-depth reading allows readers to acquire more substantial prior content schemata, which are representa-tive for the literature corpus and useful in the following skimming process. To this end, we develop a prototype that identifies the influential papers from a set of PDFs, which is illustrated in a case study in the IT business value domain. With the new strategy, we envision a more efficient process of exploring unknown literature corpora. AU - Wagner, Gerit AU - Empl, Philipp AU - Schryen, Guido ID - 17055 KW - Reading and skimming KW - Exploring literature KW - Review methodology KW - Design science research KW - Schemata theory T2 - 28th European Conference on Information Systems (ECIS 2020) TI - Designing a Novel Strategy for Exploring Literature Corpora ER - TY - CONF AU - Dreiling, Dmitrij AU - Itner, Dominik Thor AU - Feldmann, Nadine AU - Gravenkamp, Hauke AU - Henning, Bernd ID - 17089 TI - Increasing the sensitivity in the determination of material parameters by using arbitrary loads in ultrasonic transmission measurements ER - TY - JOUR AU - Schryen, Guido ID - 15414 IS - 9 JF - Communications of the ACM TI - Integrating Management Science into the HPC Research Ecosystem VL - 63 ER - TY - CONF AU - Claes, Leander AU - Baumhögger, Elmar AU - Rüther, Torben AU - Gierse, Jan AU - Tröster, Thomas AU - Henning, Bernd ID - 15490 T2 - Fortschritte der Akustik - DAGA 2020 TI - Reduction of systematic measurement deviation in acoustic absorption measurement systems ER - TY - JOUR AB - This interview is part of the special issue (01/2020) on “High Performance Business Computing” to be published in the journal Business & Information Systems Engineering. The interviewee Utz-Uwe Haus is Senior Research Engineer @ CRAY European Research Lab (CERL)). A bio of him is included at the end of the interview. AU - Schryen, Guido AU - Kliewer, Natalia AU - Fink, Andreas ID - 15513 IS - 01/2020 JF - Business & Information Systems Engineering TI - Interview with Utz-Uwe Haus on “High Performance Computing in Economic Environments: Opportunities and Challenges" VL - 62 ER - TY - JOUR AU - Schryen, Guido ID - 15022 IS - 1 JF - European Journal of Operational Research TI - Parallel computational optimization in operations research: A new integrative framework, literature review and research directions VL - 287 ER - TY - JOUR AB - Nonlinear Pancharatnam–Berry phase metasurfaces facilitate the nontrivial phase modulation for frequency conversion processes by leveraging photon‐spin dependent nonlinear geometric‐phases. However, plasmonic metasurfaces show some severe limitation for nonlinear frequency conversion due to the intrinsic high ohmic loss and low damage threshold of plasmonic nanostructures. Here, the nonlinear geometric‐phases associated with the third‐harmonic generation process occurring in all‐dielectric metasurfaces is studied systematically, which are composed of silicon nanofins with different in‐plane rotational symmetries. It is found that the wave coupling among different field components of the resonant fundamental field gives rise to the appearance of different nonlinear geometric‐phases of the generated third‐harmonic signals. The experimental observations of the nonlinear beam steering and nonlinear holography realized in this work by all‐dielectric geometric‐phase metasurfaces are well explained with the developed theory. This work offers a new physical picture to understand the nonlinear optical process occurring at nanoscale dielectric resonators and will help in the design of nonlinear metasurfaces with tailored phase properties. AU - Liu, Bingyi AU - Sain, Basudeb AU - Reineke, Bernhard AU - Zhao, Ruizhe AU - Meier, Cedrik AU - Huang, Lingling AU - Jiang, Yongyuan AU - Zentgraf, Thomas ID - 16197 IS - 9 JF - Advanced Optical Materials SN - 2195-1071 TI - Nonlinear Wavefront Control by Geometric-Phase Dielectric Metasurfaces: Influence of Mode Field and Rotational Symmetry VL - 8 ER - TY - CONF AB - Network function virtualization (NFV) proposes to replace physical middleboxes with more flexible virtual network functions (VNFs). To dynamically adjust to everchanging traffic demands, VNFs have to be instantiated and their allocated resources have to be adjusted on demand. Deciding the amount of allocated resources is non-trivial. Existing optimization approaches often assume fixed resource requirements for each VNF instance. However, this can easily lead to either waste of resources or bad service quality if too many or too few resources are allocated. To solve this problem, we train machine learning models on real VNF data, containing measurements of performance and resource requirements. For each VNF, the trained models can then accurately predict the required resources to handle a certain traffic load. We integrate these machine learning models into an algorithm for joint VNF scaling and placement and evaluate their impact on resulting VNF placements. Our evaluation based on real-world data shows that using suitable machine learning models effectively avoids over- and underallocation of resources, leading to up to 12 times lower resource consumption and better service quality with up to 4.5 times lower total delay than using standard fixed resource allocation. AU - Schneider, Stefan Balthasar AU - Satheeschandran, Narayanan Puthenpurayil AU - Peuster, Manuel AU - Karl, Holger ID - 16219 T2 - IEEE Conference on Network Softwarization (NetSoft) TI - Machine Learning for Dynamic Resource Allocation in Network Function Virtualization ER - TY - JOUR AB - Timing plays a crucial role in the context of information security investments. We regard timing in two dimensions, namely the time of announcement in relation to the time of investment and the time of announcement in relation to the time of a fundamental security incident. The financial value of information security investments is assessed by examining the relationship between the investment announcements and their stock market reaction focusing on the two time dimensions. Using an event study methodology, we found that both dimensions influence the stock market return of the investing organization. Our results indicate that (1) after fundamental security incidents in a given industry, the stock price will react more positively to a firm’s announcement of actual information security investments than to announcements of the intention to invest; (2) the stock price will react more positively to a firm’s announcements of the intention to invest after the fundamental security incident compared to before; and (3) the stock price will react more positively to a firm’s announcements of actual information security investments after the fundamental security incident compared to before. Overall, the lowest abnormal return can be expected when the intention to invest is announced before a fundamental information security incident and the highest return when actual investing after a fundamental information security incident in the respective industry. AU - Szubartowicz, Eva AU - Schryen, Guido ID - 16249 IS - 1 JF - Journal of Information System Security KW - Event Study KW - Information Security KW - Investment Announcements KW - Stock Price Reaction KW - Value of Information Security Investments TI - Timing in Information Security: An Event Study on the Impact of Information Security Investment Announcements VL - 16 ER - TY - CONF AB - To decide in which part of town to open stores, high street retailers consult statistical data on customers and cities, but they cannot analyze their customers’ shopping behavior and geospatial features of a city due to missing data. While previous research has proposed recommendation systems and decision aids that address this type of decision problem – including factory location and assortment planning – there currently is no design knowledge available to prescribe the design of city center area recommendation systems (CCARS). We set out to design a software prototype considering local customers’ shopping interests and geospatial data on their shopping trips for retail site selection. With real data on 500 customers and 1,100 shopping trips, we demonstrate and evaluate our IT artifact. Our results illustrate how retailers and public town center managers can use CCARS for spatial location selection, growing retailers’ profits and a city center’s attractiveness for its citizens. AU - zur Heiden, Philipp AU - Berendes, Carsten Ingo AU - Beverungen, Daniel ID - 16285 KW - Town Center Management KW - High Street Retail KW - Recommender Systems KW - Geospatial Recommendations KW - Design Science Research T2 - Proceedings of the 15th International Conference on Wirtschaftsinformatik TI - Designing City Center Area Recommendation Systems ER - TY - JOUR AB - The control of complex systems is of critical importance in many branches of science, engineering, and industry, many of which are governed by nonlinear partial differential equations. Controlling an unsteady fluid flow is particularly important, as flow control is a key enabler for technologies in energy (e.g., wind, tidal, and combustion), transportation (e.g., planes, trains, and automobiles), security (e.g., tracking airborne contamination), and health (e.g., artificial hearts and artificial respiration). However, the high-dimensional, nonlinear, and multi-scale dynamics make real-time feedback control infeasible. Fortunately, these high- dimensional systems exhibit dominant, low-dimensional patterns of activity that can be exploited for effective control in the sense that knowledge of the entire state of a system is not required. Advances in machine learning have the potential to revolutionize flow control given its ability to extract principled, low-rank feature spaces characterizing such complex systems.We present a novel deep learning modelpredictive control framework that exploits low-rank features of the flow in order to achieve considerable improvements to control performance. Instead of predicting the entire fluid state, we use a recurrent neural network (RNN) to accurately predict the control relevant quantities of the system, which are then embedded into an MPC framework to construct a feedback loop. In order to lower the data requirements and to improve the prediction accuracy and thus the control performance, incoming sensor data are used to update the RNN online. The results are validated using varying fluid flow examples of increasing complexity. AU - Bieker, Katharina AU - Peitz, Sebastian AU - Brunton, Steven L. AU - Kutz, J. Nathan AU - Dellnitz, Michael ID - 16290 JF - Theoretical and Computational Fluid Dynamics SN - 0935-4964 TI - Deep model predictive flow control with limited sensor data and online learning VL - 34 ER - TY - GEN AB - We study the structure of power networks in consideration of local protests against certain power lines (’not-in-my-backyard’). An application of a network formation game is used to determine whether or not such protests arise. We examine the existence of stable networks and their characteristics, when no player wants to make an alteration. Stability within this game is only reached if each player is sufficiently connected to a power source but is not linked to more players than necessary. In addition we introduce an algorithm that creates a stable network. AU - Block, Lukas ID - 23568 KW - Network formation KW - NIMBY KW - Power networks KW - Nash stability TI - Network formation with NIMBY constraints ER - TY - GEN AU - Ficara, Elena AU - d'Agostini, Franca ID - 30180 T2 - La Stampa TI - Perché celebrare Hegel? La sua dialettica è un brand, il suo pensiero una febbre benefica ER - TY - JOUR AU - Otroshi, Mortaza AU - Rossel, Moritz AU - Meschut, Gerson ID - 20143 JF - Journal of Advanced Joining Processes KW - Self-pierce riveting KW - Ductile fracture KW - Damage modeling KW - GISSMO damage model TI - Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model VL - 1 ER - TY - JOUR AB - Literature reviews (LRs) play an important role in the development of domain knowledge in all fields. Yet, we observe a lack of insights into the activities with which LRs actually develop knowledge. To address this important gap, we (1) derive knowledge building activities from the extant literature on LRs, (2) suggest a knowledge-based typology of LRs that complements existing typologies, and (3) apply the suggested typology in an empirical study that explores how LRs with different goals and methodologies have contributed to knowledge development. The analysis of 240 LRs published in 40 renowned IS journals between 2000 and 2014 allows us to draw a detailed picture of knowledge development achieved by one of the most important genres in the IS field. An overarching contribution of our work is to unify extant conceptualizations of LRs by clarifying and illustrating how LRs apply different methodologies in a range of knowledge building activities to achieve their goals with respect to theory. AU - Schryen, Guido AU - Wagner, Gerit AU - Benlian, Alexander AU - Paré, Guy ID - 11946 JF - Communications of the AIS KW - Literature review KW - knowledge development KW - knowledge building activities KW - knowledge-based typology KW - information systems research SN - 1529-3181 TI - A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field VL - 46 ER - TY - JOUR AU - Schryen, Guido AU - Kliewer, Natalia AU - Fink, Andreas ID - 14985 IS - 1 JF - Business & Information Systems Engineering TI - High Performance Business Computing VL - 62 ER - TY - JOUR AB - In this work we present a set-oriented path following method for the computation of relative global attractors of parameter-dependent dynamical systems. We start with an initial approximation of the relative global attractor for a fixed parameter λ0 computed by a set-oriented subdivision method. By using previously obtained approximations of the parameter-dependent relative global attractor we can track it with respect to a one-dimensional parameter λ > λ0 without restarting the whole subdivision procedure. We illustrate the feasibility of the set-oriented path following method by exploring the dynamics in low-dimensional models for shear flows during the transition to turbulence and of large-scale atmospheric regime changes . AU - Gerlach, Raphael AU - Ziessler, Adrian AU - Eckhardt, Bruno AU - Dellnitz, Michael ID - 16710 JF - SIAM Journal on Applied Dynamical Systems SN - 1536-0040 TI - A Set-Oriented Path Following Method for the Approximation of Parameter Dependent Attractors ER - TY - BOOK AU - Tönsing, Johanna ID - 32425 TI - Animalische Epistemologie: Tierwahrheiten bei Franz Kafka am Beispiel von "Ein Bericht für eine Akademie" ER - TY - GEN AU - Hagengruber, Ruth ID - 21294 SN - ISSN 1553-9172 T2 - H-France Net TI - Review Hagengruber Le Ru Émilie Du Châtelet Philosophe VL - 158 ER - TY - JOUR AU - Nakatani, Tomohiro AU - Boeddeker, Christoph AU - Kinoshita, Keisuke AU - Ikeshita, Rintaro AU - Delcroix, Marc AU - Haeb-Umbach, Reinhold ID - 17598 JF - IEEE/ACM Transactions on Audio, Speech, and Language Processing TI - Jointly optimal denoising, dereverberation, and source separation ER - TY - CHAP AU - Süßmann, Johannes ED - Kamp, Hermann ED - Schmitz, Sabine ID - 35032 SN - 978-3-8376-4515-6 T2 - Erinnerungsorte in Belgien. Instrumente lokaler, regionaler und nationaler Sinnstiftung TI - Albrecht und Isabella in Brüssel. Eine Spurensuche ER - TY - JOUR AB - Der systematischen Reflexion von Praxiserfahrungen anhand von Theorie wird in der Lehrerinnenbildung ein besonders hoher Stellenwert zugeschrieben. Auf Makroebene wurde durch die Einführung des Praxissemesters in NRW auf der einen Seite ein wichtiger Schritt zur stärkeren Verknüpfung von Schulpraxis und universitärer Ausbildung getan. Auf der anderen Seite bestehen auf der Mirkoebene immer noch Herausforderungen in der Relationierung von Theorie und Praxis für Lehramtsstudierende. Hier heißt es für Dozierende, die Lehramtsstudierende während dieses Langzeitpraktikums in universitären Veranstaltungen begleiten, tragfähige Seminarkonzepte zu entwickeln. Der vorliegende Beitrag stellt eine Methode, die Theoriebasierte Fallreflexion (TFR), mit zwei Umsetzungsvarianten vor. Damit wird eine konkrete Möglichkeit dargelegt, wie in Begleitveranstaltungen zum Praxissemester zum einen eine systematische theoretische Analyse und zum anderen die Generierung individueller Handlungsmöglichkeiten für die konkrete Schulpraxis angeleitet werden kann. Des Weiteren werden insgesamt 410 verschiedene Rückmeldungen zur Methode von insgesamt N = 93 Studierenden, welche die TFR im Rahmen einer halbtägigen Blockveranstaltung durchführten, mittels der qualitativen Inhaltsanalyse nach Mayring (2015) kategorisiert. Die Studierenden betonten in ihren Rückmeldungen besonders das Potential der TFR im Hinblick auf ein tieferes Verständnis von theoretischen Inhalten sowie hinsichtlich der Möglichkeiten zum intensiven Austausch mit Kommilitonen*innen sowie zur individuellen Reflexion schulpraktischer Situationen. AU - Bonanati, Sabrina AU - Westphal, Petra AU - Wiethoff, Christoph ID - 27394 IS - 1 JF - HLZ - Herausforderungen Lehrer*innenbildung KW - TFR KW - Theoriebasierte Fallreflexion KW - Praxissemester KW - Begleitseminar KW - Theorie-Praxis-Verzahnung TI - Theoriebasierte Fallreflexion (TFR) im Praxissemester. Didaktische Umsetzung und Evaluation. VL - 3 ER - TY - CONF AB - Die Themen „Big Data“, „Künstliche Intelligenz und „Data Science“ werden seit einiger Zeit nicht nur in der breiten Öffentlichkeit kontrovers diskutiert, sondern stellen für die Ausbildung in den IT- und IT-nahen Berufen schon heute neue Herausforderungen dar, die in Zukunft durch die gesellschaftliche und technologische Weiterentwicklung hin zu einer Datengesellschaft noch größer werden. An dieser Stelle stellt sich die Frage, welche Aspekte dieses großen Themenkomplexes für Schule und Ausbildung von Wichtigkeit sind und wie diese Themen sinnstiftend und gewinnbringend in die informatische Ausbildung in verschiedenen Bildungsgängen integriert werden können. Im Rahmen des von uns im Jahr 2017 organisierten Symposiums zum Thema „Data Science“ wurden für die Bildung relevante Aspekte erörtert, wodurch als Kernelemente für den Unterricht Algorithmen der Künstlichen Intelligenz und ihre Anwendung in Industrie und Gesellschaft, Explorationen von Big Data sowie der Umgang mit eigenen Daten in sozialen Netzwerken herausgearbeitet wurden. Ziel ist, aus diesen Themenbereichen sowohl ein umfassendes Curriculum als auch Module für verschiedene Unterrichtsszenarien zu entwickeln und zu erproben. Durch diese Materialien soll es Lehrkräften aus der Informatik, Mathematik oder Technik ermöglicht werden, diese Themen auf Basis des Curriculums und der erprobten Unterrichtskonzepte selbst zu unterrichten. Hierfür wurde im Rahmen des Projekts ProDaBi (Projekt Data Science und Big Data in der Schule, https://www.prodabi.de), initiiert von der Telekom Stiftung, ein experimenteller Projektkurs entwickelt, den wir mit Schüler:innen der Sekundarstufe II an der Universität Paderborn im Schuljahr 2018/19 durchführten. Dieser Kurs enthält neben einem Modul zur Exploration von Big Data und einem weiteren Modul zum Maschinellen Lernen als Teil der Künstlichen Intelligenz auch eine Projektphase, die es in Zusammenarbeit mit lokalen Unternehmen den Schüler:innen ermöglicht, das Erlernte in ein reales Data Science-Projekt einzubringen. Aus den Erfahrungen dieses Projektkurses sowie den parallel durchgeführten Erprobungen einzelner Bausteine auch mit beruflichen Schulen werden ab dem Schuljahr 2019/20 die hierfür verwendeten Materialien weiterentwickelt und weiteren Kooperationspartnern zur Erprobung zur Verfügung gestellt. Damit wurden zum Ende des Projekts nicht nur vollständige Unterrichtsmaterialien, sondern auch ein umfassendes Curriculum entwickelt. AU - Opel, Simone Anna AU - Schlichtig, Michael ED - Vollmer, Thomas ED - Karges, Torben ED - Richter, Tim ED - Schlömer, Britta ED - Schütt-Sayed, Sören ID - 29298 KW - Berufsbildung KW - vocational education KW - Ausbildung KW - training KW - berufliche Weiterbildung KW - advanced vocational education KW - Digitalisierung KW - digitalization KW - Unterricht KW - teaching KW - Lehrmethode KW - teaching method KW - Interdisziplinarität KW - interdisciplinarity KW - Fachdidaktik KW - subject didactics KW - Curriculum KW - curriculum KW - gewerblich-technischer Beruf KW - vocational/technical occupation KW - Fachkraft KW - specialist KW - Qualifikationsanforderungen KW - qualification requirements KW - Kompetenz KW - competence KW - Lehrerbildung KW - teacher training KW - Bundesrepublik Deutschland KW - Federal Republic of Germany T2 - Sammelband der 27. Fachtagung der BAG Berufliche Bildung TI - Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II VL - 55 ER -