@article{51383, author = {{Hilgert, Joachim and Arends, C.}}, journal = {{J. de l'École polytechnique — Mathématiques}}, pages = {{335--403}}, title = {{{Spectral correspondences for rank one locally symmetric spaces - The case of exceptional parameters}}}, volume = {{10}}, year = {{2023}}, } @article{51384, author = {{Hilgert, Joachim and Glöckner, H.}}, journal = {{J. Diff. Equations}}, pages = {{186--232}}, title = {{{Aspects of control theory on infinite-dimensional Lie groups and G-manifolds}}}, volume = {{343}}, year = {{2023}}, } @misc{54244, author = {{AlAidroos, Salem}}, publisher = {{Paderborn University}}, title = {{{Design and Implementation of a RadioML Demonstrator based on an RFSoC Platform}}}, year = {{2023}}, } @misc{54243, author = {{Oviasogie, Marvin Osaretin}}, publisher = {{Paderborn University}}, title = {{{Demonstrator for Dataflow-based DNN Acceleration for Vision Applications on Platform FPGAs}}}, year = {{2023}}, } @misc{54241, author = {{Reuter, Lucas David}}, publisher = {{Paderborn University}}, title = {{{Development of a Power Analysis Framework for Embedded FPGA Accelerators}}}, year = {{2023}}, } @article{50271, author = {{Gharibian, Sevag and Le Gall, François}}, issn = {{0097-5397}}, journal = {{SIAM Journal on Computing}}, keywords = {{General Mathematics, General Computer Science}}, number = {{4}}, pages = {{1009--1038}}, publisher = {{Society for Industrial & Applied Mathematics (SIAM)}}, title = {{{Dequantizing the Quantum Singular Value Transformation: Hardness and Applications to Quantum Chemistry and the Quantum PCP Conjecture}}}, doi = {{10.1137/22m1513721}}, volume = {{52}}, year = {{2023}}, } @article{53540, abstract = {{AbstractThis note is concerned with two families of operators related to the fractional Laplacian, the first arising from the Caffarelli-Silvestre extension problem and the second from the fractional heat equation. They both include the Poisson semigroup. We show that on a complete, connected, and non-compact Riemannian manifold of non-negative Ricci curvature, in both cases, the solution with $$L^1$$ L 1 initial data behaves asymptotically as the mass times the fundamental solution. Similar long-time convergence results remain valid on more general manifolds satisfying the Li-Yau two-sided estimate of the heat kernel. The situation changes drastically on hyperbolic space, and more generally on rank one non-compact symmetric spaces: we show that for the Poisson semigroup, the convergence to the Poisson kernel fails -but remains true under the additional assumption of radial initial data.}}, author = {{Papageorgiou, Efthymia}}, issn = {{0926-2601}}, journal = {{Potential Analysis}}, keywords = {{Analysis}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Large-Time Behavior of Two Families of Operators Related to the Fractional Laplacian on Certain Riemannian Manifolds}}}, doi = {{10.1007/s11118-023-10109-1}}, year = {{2023}}, } @article{53539, abstract = {{AbstractThe infinite Brownian loop on a Riemannian manifold is the limit in distribution of the Brownian bridge of length T around a fixed origin when $$T \rightarrow +\infty $$ T → + ∞ . The aim of this note is to study its long-time asymptotics on Riemannian symmetric spaces G/K of noncompact type and of general rank. This amounts to the behavior of solutions to the heat equation subject to the Doob transform induced by the ground spherical function. Unlike the standard Brownian motion, we observe in this case phenomena which are similar to the Euclidean setting, namely $$L^1$$ L 1 asymptotic convergence without requiring bi-K-invariance for initial data, and strong $$L^{\infty }$$ L ∞ convergence.}}, author = {{Papageorgiou, Efthymia}}, issn = {{2296-9020}}, journal = {{Journal of Elliptic and Parabolic Equations}}, keywords = {{Applied Mathematics, Numerical Analysis, Analysis}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Asymptotics for the infinite Brownian loop on noncompact symmetric spaces}}}, doi = {{10.1007/s41808-023-00250-8}}, year = {{2023}}, } @inproceedings{49373, author = {{Kablo, Emiram and Arias Cabarcos, Patricia}}, booktitle = {{Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security}}, publisher = {{ACM}}, title = {{{Privacy in the Age of Neurotechnology: Investigating Public Attitudes towards Brain Data Collection and Use}}}, doi = {{10.1145/3576915.3623164}}, year = {{2023}}, } @inproceedings{49654, abstract = {{State actors around the world censor the HTTPS protocol to block access to certain websites. While many circumvention strategies utilize the TCP layer only little emphasis has been placed on the analysis of TLS-a complex protocol and integral building block of HTTPS. In contrast to the TCP layer, circumvention methods on the TLS layer do not require root privileges since TLS operates on the application layer. With this proposal, we want to motivate a deeper analysis of TLS in regard to censorship circumvention techniques. To prove the existence of such techniques, we present TLS record fragmentation as a novel circumvention technique and circumvent the Great Firewall of China (GFW) using this technique. We hope that our research fosters collaboration between censorship and TLS researchers.}}, author = {{Niere, Niklas and Hebrok, Sven Niclas and Somorovsky, Juraj and Merget, Robert}}, booktitle = {{Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security}}, publisher = {{ACM}}, title = {{{Poster: Circumventing the GFW with TLS Record Fragmentation}}}, doi = {{10.1145/3576915.3624372}}, year = {{2023}}, } @inbook{28338, author = {{Kehrbusch, Burkhard and Engels, Gregor}}, booktitle = {{Digital Transformation: Core Technologies and Emerging Topics from a Computer Science Perspective}}, editor = {{Vogel-Heuser, Birgit and Wimmer, Manuel}}, publisher = {{Springer-Vieweg}}, title = {{{Digital Transformation - Towards flexible human-centric enterprises}}}, year = {{2022}}, } @inproceedings{29149, author = {{Koldewey, Christian and Dumitrescu, Roman and Rabe, Martin }}, booktitle = {{Proceedings of the 55th Hawaii International Conference on System Sciences}}, location = {{Hawaii, USA}}, title = {{{Introduction to the Data-driven Services in Manufacturing Minitrack - Exploring Management, Engineering, and Organizational Transformation}}}, year = {{2022}}, } @inproceedings{29767, author = {{Abughannam, Saed and Scheytt, J. Christoph}}, booktitle = {{International Symposium on Circuits and Systems (ISCAS 2022)}}, publisher = {{IEEE Xplore}}, title = {{{Low-Power Low-Data-Rate Wireless PPM Receiver Based on 13-Bits Barker Coded SAW Correlator with Scalable Data-Rate and Sensitivity}}}, year = {{2022}}, } @inproceedings{29839, abstract = {{The development of business models is a challenging task that can be supported with software tools. Here, existing approaches and tools do not focus on the company’s situation in which the development takes place (e.g., financial resources, product type). To tackle this challenge, we used design science research to develop a situation-specific business model development approach that contains three stages: First, existing knowledge in terms of tasks to do (e.g., analyze competitive advantage), and decisions to be made (e.g., social media marketing) are stored in repositories. Second, the knowledge is used to compose a development method based on the company’s situation. Third, the development method is enacted to develop a business model. This demonstration paper presents a tool-support called Situational Business Model Developer that supports all stages of our approach. We release the tool under open-source and evaluate it with a case study on developing business models for mobile apps.}}, author = {{Gottschalk, Sebastian and Yigitbas, Enes and Nowosad, Alexander and Engels, Gregor}}, booktitle = {{Proceedings of the 17th International Conference on Wirtschaftsinformatik}}, keywords = {{Business Model Development, Situational Method Engineering, Tool Support}}, location = {{Nuremberg}}, publisher = {{AIS}}, title = {{{Situational Business Model Developer: A Tool-support for Situation-specific Business Model Development}}}, year = {{2022}}, } @inproceedings{29840, abstract = {{Due to the proliferation of Virtual Reality (VR) technology, VR is finding new applications in various domains, such as stock trading. Here, traders invest in stocks intending to increase their profit. For this purpose, in conventional stock trading, traders usually make use of 2D applications on desktop or laptop devices. This leads to many drawbacks such as poor visibility due to limited 2D representation, complex interaction due to indirect interaction via mouse and keyboard, or restricted support for collaboration between traders. To overcome these issues, we have developed a novel collaborative, virtual environment for stock trading, which enables stock traders to view financial information and trade stocks with other collaborators. The main results of a usability study indicate that the VR environment, compared to conventional stock trading, shows no significant advantages concerning efficiency and effectiveness, however, we could observe an increased user satisfaction and better collaboration.}}, author = {{Yigitbas, Enes and Gottschalk, Sebastian and Nowosad, Alexander and Engels, Gregor}}, booktitle = {{Proceedings of the 17th International Conference on Wirtschaftsinformatik}}, keywords = {{virtual reality, stock trading, collaboration, usability}}, location = {{Nuremberg}}, publisher = {{AIS}}, title = {{{Development and Evaluation of a Collaborative Stock Trading Environment in Virtual Reality}}}, year = {{2022}}, } @article{29843, author = {{Castenow, Jannik and Kling, Peter and Knollmann, Till and Meyer auf der Heide, Friedhelm}}, issn = {{0890-5401}}, journal = {{Information and Computation}}, keywords = {{Computational Theory and Mathematics, Computer Science Applications, Information Systems, Theoretical Computer Science}}, publisher = {{Elsevier BV}}, title = {{{A Discrete and Continuous Study of the Max-Chain-Formation Problem}}}, doi = {{10.1016/j.ic.2022.104877}}, year = {{2022}}, } @phdthesis{29672, author = {{Schneider, Stefan Balthasar}}, title = {{{Network and Service Coordination: Conventional and Machine Learning Approaches"}}}, doi = {{10.17619/UNIPB/1-1276 }}, year = {{2022}}, } @inproceedings{29380, abstract = {{Cyber-physical systems generate and collect huge amounts of usage data during operation. Analyzing these data may enable manufacturing companies to identify weaknesses and learn about the users of their products. Such insights are valuable in the early phases of product development like product planning, as they facilitate decision-making for product improvement. The analysis and exploitation of usage data in product planning, however, is a new task for manufacturing companies. To reduce mistakes and improve the results, companies should build upon a suitable reference process model. Unfortunately, established models for analyzing data cannot be easily applied for product planning. In this paper, we propose a reference process model for usage data-driven product planning. It builds on three well-established models for analyzing data and addresses the unique characteristics of usage data-driven product planning. Finally, we customize the model for a manufacturing company and demonstrate how it could be implemented in practice.}}, author = {{Meyer, Maurice and Wiederkehr, Ingrid and Panzner, Melina and Koldewey, Christian and Dumitrescu, Roman}}, booktitle = {{Proceedings of the 55th Hawaii International Conference on System Sciences}}, pages = {{6105--6114}}, title = {{{A Reference Process Model for Usage Data-Driven Product Planning}}}, year = {{2022}}, } @inproceedings{29927, author = {{Yigitbas, Enes and Karakaya, Kadiray and Jovanovikj, Ivan and Engels, Gregor}}, booktitle = {{Software Engineering 2022, Fachtagung des GI-Fachbereichs Softwaretechnik, 21.-25. Februar 2022, Virtuell}}, editor = {{Grunske, Lars and Siegmund, Janet and Vogelsang, Andreas}}, pages = {{95–96}}, publisher = {{Gesellschaft für Informatik e.V.}}, title = {{{Enhancing Human-in-the-Loop Adaptive Systems through Digital Twins and VR Interfaces}}}, doi = {{10.18420/se2022-ws-033}}, volume = {{{P-320}}}, year = {{2022}}, } @inproceedings{29926, author = {{Yigitbas, Enes and Gorissen, Simon and Weidmann, Nils and Engels, Gregor}}, booktitle = {{Software Engineering 2022, Fachtagung des GI-Fachbereichs Softwaretechnik, 21.-25. Februar 2022, Virtuell}}, editor = {{Grunske, Lars and Siegmund, Janet and Vogelsang, Andreas}}, pages = {{93–94}}, publisher = {{Gesellschaft für Informatik e.V.}}, title = {{{Collaborative Software Modeling in Virtual Reality}}}, doi = {{10.18420/se2022-ws-032}}, volume = {{{P-320}}}, year = {{2022}}, }