@inbook{29928,
  author       = {{Yigitbas, Enes and Sauer, Stefan 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        = {{{Self-Adaptive Digital Assistance Systems for Work 4.0}}},
  year         = {{2022}},
}

@article{30964,
  author       = {{Gao, Wenlong and Sain, Basudeb and Zentgraf, Thomas}},
  issn         = {{2331-7019}},
  journal      = {{Physical Review Applied}},
  keywords     = {{General Physics and Astronomy}},
  number       = {{4}},
  publisher    = {{American Physical Society (APS)}},
  title        = {{{Spin-Orbit Interaction of Light Enabled by Negative Coupling in High-Quality-Factor Optical Metasurfaces}}},
  doi          = {{10.1103/physrevapplied.17.044022}},
  volume       = {{17}},
  year         = {{2022}},
}

@article{23398,
  abstract     = {{We study output reference tracking of systems with high relative degree via output feedback only; this is, tracking where the output derivatives are unknown.
To this end, we prove that the conjunction of the funnel pre-compensator with a minimum phase system of arbitrary relative degree yields a system of the same relative degree which is minimum phase as well. 
The error between the original system's output and the pre-compensator's output evolves within a prescribed performance funnel; and moreover, the derivatives of the funnel pre-compensator's output are known explicitly. 
Therefore, output reference tracking with prescribed transient behavior of the tracking error is possible without knowledge of the derivatives of the original system's output; via funnel control schemes for instance.}},
  author       = {{Lanza, Lukas Johannes}},
  journal      = {{Mathematics of Control, Signals, and Systems}},
  title        = {{{Output feedback control with prescribed performance via funnel pre-compensator}}},
  doi          = {{10.1007/s00498-022-00322-5}},
  year         = {{2022}},
}

@article{32180,
  author       = {{Meschede, Henning and Bertheau, Paul and Khalili, Siavash and Breyer, Christian}},
  issn         = {{2041-8396}},
  journal      = {{WIREs Energy and Environment}},
  keywords     = {{General Environmental Science, Renewable Energy, Sustainability and the Environment}},
  publisher    = {{Wiley}},
  title        = {{{A review of 100% renewable energy scenarios on islands}}},
  doi          = {{10.1002/wene.450}},
  year         = {{2022}},
}

@inproceedings{29842,
  abstract     = {{To build successful software products, developers continuously have to discover what features the users really need. This discovery can be achieved with continuous experimentation, testing different software variants with distinct user groups, and deploying the superior variant for all users. However, existing approaches do not focus on explicit modeling of variants and experiments, which offers advantages such as traceability of decisions and combinability of experiments. Therefore, our vision is the provision of model-driven continuous experimentation, which provides the developer with a framework for structuring the experimentation process. For that, we introduce the overall concept, apply it to the experimentation on component-based software architectures and point out future research questions. In particular, we show the applicability by combining feature models for modeling the software variants, users, and experiments (i.e., model-driven) with MAPE-K for the adaptation (i.e., continuous experimentation) and implementing the concept based on the component-based Angular framework.}},
  author       = {{Gottschalk, Sebastian and Yigitbas, Enes and Engels, Gregor}},
  booktitle    = {{Proceedings of the 18th International Conference on Software Architecture Companion }},
  keywords     = {{continuous experimentation, model-driven, component-based software architectures, self-adaptation}},
  location     = {{Hawaii}},
  publisher    = {{IEEE}},
  title        = {{{Model-driven Continuous Experimentation on Component-based Software Architectures }}},
  doi          = {{10.1109/ICSA-C54293.2022.00011}},
  year         = {{2022}},
}

@article{29673,
  abstract     = {{Koopman operator theory has been successfully applied to problems from various research areas such as fluid dynamics, molecular dynamics, climate science, engineering, and biology. Applications include detecting metastable or coherent sets, coarse-graining, system identification, and control. There is an intricate connection between dynamical systems driven by stochastic differential equations and quantum mechanics. In this paper, we compare the ground-state transformation and Nelson's stochastic mechanics and demonstrate how data-driven methods developed for the approximation of the Koopman operator can be used to analyze quantum physics problems. Moreover, we exploit the relationship between Schrödinger operators and stochastic control problems to show that modern data-driven methods for stochastic control can be used to solve the stationary or imaginary-time Schrödinger equation. Our findings open up a new avenue towards solving Schrödinger's equation using recently developed tools from data science.}},
  author       = {{Klus, Stefan and Nüske, Feliks and Peitz, Sebastian}},
  journal      = {{Journal of Physics A: Mathematical and Theoretical}},
  number       = {{31}},
  pages        = {{314002}},
  publisher    = {{IOP Publishing Ltd.}},
  title        = {{{Koopman analysis of quantum systems}}},
  doi          = {{10.1088/1751-8121/ac7d22}},
  volume       = {{55}},
  year         = {{2022}},
}

@article{34132,
  abstract     = {{<jats:p>How can Knowledge In/Equity be addressed in qualitative research by taking the idea of Open Science into account? Two projects from the Open Science Fellows Programme by Wikimedia Deutschland will be used to illustrate how Open Science practices can succeed in qualitative research, thereby reducing In/Equity. In this context, In/Equity is considered as a fair and equal representation of people, their knowledge and insights and comprehends questions about how epistemic, structural, institutional and personal biases generate and shape knowledge as guidance. Three questions guide this approach: firstly, what do we understand by In/Equity in the context of knowledge production in these projects? Secondly, who will be involved in knowledge generation and to what extent will they be valued or unvalued? Thirdly, how can data be made accessible for re-use to enable true participation and sharing?</jats:p>}},
  author       = {{Steinhardt, Isabel and Kruschick, Felicitas}},
  issn         = {{2367-7163}},
  journal      = {{Research Ideas and Outcomes}},
  keywords     = {{Open Science, Knowledge Equity, Qualitative Methods}},
  publisher    = {{Pensoft Publishers}},
  title        = {{{Knowledge Equity and Open Science in qualitative research – Practical research considerations}}},
  doi          = {{10.3897/rio.8.e86387}},
  volume       = {{8}},
  year         = {{2022}},
}

@phdthesis{29769,
  abstract     = {{Wettstreit zwischen der Entwicklung neuer Hardwaretrojaner und entsprechender Gegenmaßnahmen beschreiten Widersacher immer raffiniertere Wege um Schaltungsentwürfe zu infizieren und dabei selbst fortgeschrittene Test- und Verifikationsmethoden zu überlisten. Abgesehen von den konventionellen Methoden um einen Trojaner in eine Schaltung für ein Field-programmable Gate Array (FPGA) einzuschleusen, können auch die Entwurfswerkzeuge heimlich kompromittiert werden um einen Angreifer dabei zu unterstützen einen erfolgreichen Angriff durchzuführen, der zum Beispiel Fehlfunktionen oder ungewollte Informationsabflüsse bewirken kann. Diese Dissertation beschäftigt sich hauptsächlich mit den beiden Blickwinkeln auf Hardwaretrojaner in rekonfigurierbaren Systemen, einerseits der Perspektive des Verteidigers mit einer Methode zur Erkennung von Trojanern auf der Bitstromebene, und andererseits derjenigen des Angreifers mit einer neuartigen Angriffsmethode für FPGA Trojaner. Für die Verteidigung gegen den Trojaner ``Heimtückische LUT'' stellen wir die allererste erfolgreiche Gegenmaßnahme vor, die durch Verifikation mittels Proof-carrying Hardware (PCH) auf der Bitstromebene direkt vor der Konfiguration der Hardware angewendet werden kann, und präsentieren ein vollständiges Schema für den Entwurf und die Verifikation von Schaltungen für iCE40 FPGAs. Für die Gegenseite führen wir einen neuen Angriff ein, welcher bösartiges Routing im eingefügten Trojaner ausnutzt um selbst im fertigen Bitstrom in einem inaktiven Zustand zu verbleiben: Hierdurch kann dieser neuartige Angriff zur Zeit weder von herkömmlichen Test- und Verifikationsmethoden, noch von unserer vorher vorgestellten Verifikation auf der Bitstromebene entdeckt werden.}},
  author       = {{Ahmed, Qazi Arbab}},
  keywords     = {{FPGA Security, Hardware Trojans, Bitstream-level Trojans, Bitstream Verification}},
  publisher    = {{ Paderborn University, Paderborn, Germany}},
  title        = {{{Hardware Trojans in Reconfigurable Computing}}},
  doi          = {{10.17619/UNIPB/1-1271}},
  year         = {{2022}},
}

@article{33669,
  abstract     = {{Far-field multi-speaker automatic speech recognition (ASR) has drawn increasing attention in recent years. Most existing methods feature a signal processing frontend and an ASR backend. In realistic scenarios, these modules are usually trained separately or progressively, which suffers from either inter-module mismatch or a complicated training process. In this paper, we propose an end-to-end multi-channel model that jointly optimizes the speech enhancement (including speech dereverberation, denoising, and separation) frontend and the ASR backend as a single system. To the best of our knowledge, this is the first work that proposes to optimize dereverberation, beamforming, and multi-speaker ASR in a fully end-to-end manner. The frontend module consists of a weighted prediction error (WPE) based submodule for dereverberation and a neural beamformer for denoising and speech separation. For the backend, we adopt a widely used end-to-end (E2E) ASR architecture. It is worth noting that the entire model is differentiable and can be optimized in a fully end-to-end manner using only the ASR criterion, without the need of parallel signal-level labels. We evaluate the proposed model on several multi-speaker benchmark datasets, and experimental results show that the fully E2E ASR model can achieve competitive performance on both noisy and reverberant conditions, with over 30% relative word error rate (WER) reduction over the single-channel baseline systems.}},
  author       = {{Zhang, Wangyou and Chang, Xuankai and Boeddeker, Christoph and Nakatani, Tomohiro and Watanabe, Shinji and Qian, Yanmin}},
  issn         = {{Print ISSN: 2329-9290 Electronic ISSN: 2329-9304}},
  journal      = {{IEEE/ACM Transactions on Audio, Speech, and Language Processing}},
  title        = {{{End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail Party}}},
  doi          = {{10.1109/TASLP.2022.3209942}},
  year         = {{2022}},
}

@article{34198,
  author       = {{Bloh, Thiemo and Caruso, Carina}},
  journal      = {{die hochschullehre}},
  title        = {{{Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung. Fragen, Erwägungen und Rekonstruktionen.}}},
  doi          = {{10.3278/HSL2221W}},
  volume       = {{8}},
  year         = {{2022}},
}

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

@article{34316,
  abstract     = {{Eines der Lernziele des Physikstudiums stellt der Erwerb literaler Fähigkeiten für das Verfassen wissenschaftlicher Arbeiten dar. Die Student:innen werden allerdings im Rahmen ihres Studiums bisher kaum systematisch beim Erwerb dieser Fähigkeiten unterstützt. Eine Übungsgelegenheit für das Verfassen von Texten nach wissenschaftlichem Vorbild stellt das Laborpraktikum dar, in dem die Student:innen zu den absolvierten Experimenten Laborberichte verfassen. Im Paderborner Physik Praktikum 3P wurden in den letzten Jahren vier unterschiedliche Unterstützungsangebote für das Erlernen des wissenschaftlichen Schreibens entwickelt und mittels Zufriedenheitswerten evaluiert. In dem Beitrag werden die vier Angebote auf inhaltlicher Ebene hinsichtlich der Lernwirksamkeit mittels einer schriftproduktbasierten Evaluation analysiert. Durch die vergleichende Analyse können Potenziale und Grenzen der Angebote diskutiert und Implikationen für die Gestaltung von Unterstützungsangeboten zum Erlernen des wissenschaftlichen Schreibens in der Physik abgeleitet werden.}},
  author       = {{Bauer, Anna Brigitte and Lahme, Simon Zacharias and Sacher, Marc}},
  journal      = {{PhyDid A - Physik und Didaktik in Schule und Hochschule }},
  keywords     = {{Laborpraktikum, Schreiben}},
  number       = {{1}},
  pages        = {{23--34}},
  title        = {{{Potenziale und Grenzen von Unterstützungsmaßnahmen zum wissenschaftlichen Schreiben im Paderborner Physik Praktikum 3P}}},
  volume       = {{21}},
  year         = {{2022}},
}

@article{34417,
  abstract     = {{Given strict emission targets and legal requirements, especially in the automotive industry, environmentally friendly and simultaneously versatile applicable production technologies are gaining importance. In this regard, the use of mechanical joining processes, such as clinching, enable assembly sheet metals to achieve strength properties similar to those of established thermal joining technologies. However, to guarantee a high reliability of the generated joint connection, the selection of a best-fitting joining technology as well as the meaningful description of individual joint properties is essential. In the context of clinching, few contributions have to date investigated the metamodel-based estimation and optimization of joint characteristics, such as neck or interlock thickness, by applying machine learning and genetic algorithms. Therefore, several regression models have been trained on varying databases and amounts of input parameters. However, if product engineers can only provide limited data for a new joining task, such as incomplete information on applied joining tool dimensions, previously trained metamodels often reach their limits. This often results in a significant loss of prediction quality and leads to increasing uncertainties and inaccuracies within the metamodel-based design of a clinch joint connection. Motivated by this, the presented contribution investigates different machine learning algorithms regarding their ability to achieve a satisfying estimation accuracy on limited input data applying a statistically based feature selection method. Through this, it is possible to identify which regression models are suitable to predict clinch joint characteristics considering only a minimum set of required input features. Thus, in addition to the opportunity to decrease the training effort as well as the model complexity, the subsequent formulation of design equations can pave the way to a more versatile application and reuse of pretrained metamodels on varying tool configurations for a given clinch joining task.}},
  author       = {{Zirngibl, Christoph and Schleich, Benjamin and Wartzack, Sandro}},
  issn         = {{2673-2688}},
  journal      = {{AI}},
  keywords     = {{Industrial and Manufacturing Engineering}},
  number       = {{4}},
  pages        = {{990--1006}},
  publisher    = {{MDPI AG}},
  title        = {{{Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels}}},
  doi          = {{10.3390/ai3040059}},
  volume       = {{3}},
  year         = {{2022}},
}

@misc{34549,
  author       = {{Schönhärl, Korinna}},
  booktitle    = {{Sehepunkte}},
  number       = {{11}},
  title        = {{{Review on: Daniel Benedikt Stienen: Verkauftes Vaterland}}},
  volume       = {{22}},
  year         = {{2022}},
}

@misc{34554,
  author       = {{Schönhärl, Korinna}},
  booktitle    = {{HSozKult}},
  title        = {{{Review on: Sven Steinmo: Willing to Pay? A Reasonable Choice Approach }}},
  year         = {{2022}},
}

@unpublished{34618,
  abstract     = {{In this article, we show how second-order derivative information can be
incorporated into gradient sampling methods for nonsmooth optimization. The
second-order information we consider is essentially the set of coefficients of
all second-order Taylor expansions of the objective in a closed ball around a
given point. Based on this concept, we define a model of the objective as the
maximum of these Taylor expansions. Iteratively minimizing this model
(constrained to the closed ball) results in a simple descent method, for which
we prove convergence to minimal points in case the objective is convex. To
obtain an implementable method, we construct an approximation scheme for the
second-order information based on sampling objective values, gradients and
Hessian matrices at finitely many points. Using a set of test problems, we
compare the resulting method to five other available solvers. Considering the
number of function evaluations, the results suggest that the method we propose
is superior to the standard gradient sampling method, and competitive compared
to other methods.}},
  author       = {{Gebken, Bennet}},
  booktitle    = {{arXiv:2210.04579}},
  title        = {{{Using second-order information in gradient sampling methods for  nonsmooth optimization}}},
  year         = {{2022}},
}

@inproceedings{29220,
  abstract     = {{Modern services often comprise several components, such as chained virtual network functions, microservices, or
machine learning functions. Providing such services requires to decide how often to instantiate each component, where to place these instances in the network, how to chain them and route traffic through them. 
To overcome limitations of conventional, hardwired heuristics, deep reinforcement learning (DRL) approaches for self-learning network and service management have emerged recently. These model-free DRL approaches are more flexible but typically learn tabula rasa, i.e., disregard existing understanding of networks, services, and their coordination. 

Instead, we propose FutureCoord, a novel model-based AI approach that leverages existing understanding of networks and services for more efficient and effective coordination without time-intensive training. FutureCoord combines Monte Carlo Tree Search with a stochastic traffic model. This allows FutureCoord to estimate the impact of future incoming traffic and effectively optimize long-term effects, taking fluctuating demand and Quality of Service (QoS) requirements into account. Our extensive evaluation based on real-world network topologies, services, and traffic traces indicates that FutureCoord clearly outperforms state-of-the-art model-free and model-based approaches with up to 51% higher flow success ratios.}},
  author       = {{Werner, Stefan and Schneider, Stefan Balthasar and Karl, Holger}},
  booktitle    = {{IEEE/IFIP Network Operations and Management Symposium (NOMS)}},
  keywords     = {{network management, service management, AI, Monte Carlo Tree Search, model-based, QoS}},
  location     = {{Budapest}},
  publisher    = {{IEEE}},
  title        = {{{Use What You Know: Network and Service Coordination Beyond Certainty}}},
  year         = {{2022}},
}

@article{23415,
  author       = {{Sperling, Martina and Schryen, Guido}},
  journal      = {{European Journal of Operational Research (EJOR)}},
  number       = {{2}},
  pages        = {{690 -- 705}},
  title        = {{{Decision Support for Disaster Relief: Coordinating Spontaneous Volunteers}}},
  volume       = {{299}},
  year         = {{2022}},
}

@inproceedings{29539,
  abstract     = {{Explainable Artificial Intelligence (XAI) is currently an important topic for the application of Machine Learning (ML) in high-stakes decision scenarios. Related research focuses on evaluating ML algorithms in terms of interpretability. However, providing a human understandable explanation of an intelligent system does not only relate to the used ML algorithm. The data and features used also have a considerable impact on interpretability. In this paper, we develop a taxonomy for describing XAI systems based on aspects about the algorithm and data. The proposed taxonomy gives researchers and practitioners opportunities to describe and evaluate current XAI systems with respect to interpretability and guides the future development of this class of systems.}},
  author       = {{Kucklick, Jan-Peter}},
  booktitle    = {{Wirtschaftsinformatik 2022 Proceedings}},
  keywords     = {{Explainable Artificial Intelligence, XAI, Interpretability, Decision Support Systems, Taxonomy}},
  location     = {{Nürnberg (online)}},
  title        = {{{Towards a model- and data-focused taxonomy of XAI systems}}},
  year         = {{2022}},
}

@phdthesis{29763,
  abstract     = {{Modern-day communication has become more and more digital. While this comes with many advantages such as a more efficient economy, it has also created more and more opportunities for various adversaries to manipulate communication or eavesdrop on it. The Snowden revelations in 2013 further highlighted the seriousness of these threats. To protect the communication of people, companies, and states from such threats, we require cryptography with strong security guarantees.
Different applications may require different security properties from cryptographic schemes. For most applications, however, so-called adaptive security is considered a reasonable minimal requirement of security. Cryptographic schemes with adaptive security remain secure in the presence of an adversary that can corrupt communication partners to respond to messages of the adversaries choice, while the adversary may choose the messages based on previously observed interactions.
While cryptography is associated the most with encryption, this is only one of many primitives that are essential for the security of digital interactions. This thesis presents novel identity-based encryption (IBE) schemes and verifiable random functions (VRFs) that achieve adaptive security as outlined above. Moreover, the cryptographic schemes presented in this thesis are proven secure in the standard model. That is without making use of idealized models like the random oracle model.}},
  author       = {{Niehues, David}},
  keywords     = {{public-key cryptography, lattices, pairings, verifiable random functions, identity-based encryption}},
  title        = {{{More Efficient Techniques for Adaptively-Secure Cryptography}}},
  doi          = {{10.25926/rdtq-jw45}},
  year         = {{2022}},
}