Fakultät für Elektrotechnik und Informatik: Recent submissions

  • Blind extraction of guitar effects through blind system inversion and neural guitar effect modeling 
    Hinrichs, Reemt; Gerkens, Kevin; Lange, Alexander; Ostermann, Jörn (Heidelberg : Springer, 2024)
    Audio effects are an ubiquitous tool in music production due to the interesting ways in which they can shape the sound of music. Guitar effects, the subset of all audio effects focusing on guitar signals, are commonly used ...
  • Planning of Reserve Storage to Compensate for Forecast Errors 
    Koch, Julian; Bensmann, Astrid; Eckert, Christoph; Rath, Michael; Hanke-Rauschenbach, Richard (Basel : MDPI, 2024)
    Forecasts and their corresponding optimized operation plans for energy plants never match perfectly, especially if they have a horizon of several days. In this paper, we suggest a concept to cope with uncertain load forecasts ...
  • Verification of the code to calculate duct flow affected by external magnetic field 
    Smolyanov, I.A.; Shmakov, E.I.; Baake, E.; Guglielmi, M. (Perm : [Verlag nicht ermittelbar], 2021)
    In this paper, the authors present the results of software verification for solving magnetohydrodynamic problem in duct exposed to constant magnetic fields. The proposed approach uses the following open source software: ...
  • Coated Blade Spray Ion Mobility Spectrometry 
    Thoben, Christian; Stadtler, Jannie J.; Simon, Paul R.; Raddatz, Christian-Robert; Sehlmeyer, Merle; Zimmermann, Stefan (Columbus, Ohio : American Chemical Society, 2024)
    Coated blade spray (CBS) is a microextraction technology with blades that serve as both the extraction device and the electrospray ionization (ESI) emitter. CBS is designed for easy and rapid extraction of analytes in ...
  • Energetic evaluation and optimization of hydrogen generation and compression pathways considering PEM water electrolyzers and electrochemical hydrogen compressors 
    Zachert, Lars; Suermann, Michel; Bensmann, Boris; Hanke-Rauschenbach, Richard (Bristol : IOP Publishing, 2021)
    Electrochemical hydrogen compression is seen as a promising alternative to mechanical compression in the context of power-togas plants. It can be carried out either as direct co-compression in a water electrolyzer (WE) or ...
  • ESTSS—energy system time series suite: a declustered, application-independent, semi-artificial load profile benchmark set 
    Günther, Sebastian; Brandt, Jonathan; Bensmann, Astrid; Hanke-Rauschenbach, Richard (Cham : Springer International Publishing, 2024)
    This paper introduces an univariate application-independent set of load profiles or time series derived from real-world energy system data. The generation involved a two-step process: manifolding the initial dataset through ...
  • Preparation of Dräger Atlan A350 and General Electric Healthcare Carestation 650 anesthesia workstations for malignant hyperthermia susceptible patients 
    Heiderich, Sebastian; Thoben, Christian; Dennhardt, Nils; Krauß, Terence; Sümpelmann, Robert; Zimmermann, Stefan; Reitz, Michael; Rüffert, Henrik ([Erscheinungsort nicht ermittelbar] : BioMed Central, 2021)
    Background: Patients at risk of malignant hyperthermia need trigger-free anesthesia. Therefore, anesthesia machines prepared for safe use in predisposed patients should be free of volatile anesthetics. The washout time ...
  • Analysis and design of model predictive control frameworks for dynamic operation—An overview 
    Köhler, Johannes; Müller, Matthias A.; Allgöwer, Frank (Amsterdam [u.a.] : Elsevier Science, 2024)
    This article provides an overview of model predictive control (MPC) frameworks for dynamic operation of nonlinear constrained systems. Dynamic operation is often an integral part of the control objective, ranging from ...
  • Deep Learning Based Classification of Pedestrian Vulnerability Trained on Synthetic Datasets 
    Schleusner, Jens; Neu, Lothar; Behmann, Nicolai; Blume, Holger (Piscataway, NJ : IEEE, 2019)
    The reliable detection of vulnerable road users and the assessment of the actual vulnerability is an important task for the collision warning algorithms of driver assistance systems. Current systems make assumptions about ...
  • Sub-Microsecond Time Synchronization for Network-Connected Microcontrollers 
    Schleusner, Jens; Fahnemann, Christian; Pfleiderer, Richard; Blume, Holger (Piscataway, NJ : IEEE, 2024)
    This paper presents a bare-metal implementation of the IEEE 1588 Precision Time Protocol (PTP) for network-connected microcontroller edge devices, enabling sub-microsecond time synchronization in automotive networks and ...
  • Dynamic Model-Based Safety Margins for High-Density Matrix Headlight Systems 
    Schleusner, Jens; Blume, Holger; Lampe, Sebastian (New York, NY : Inst. of Electrical and Electronics Engineers, 2023)
    Real-time masking of vehicles in a dynamic road environment is a demanding task for adaptive driving beam systems of modern headlights. Next-generation high-density matrix headlights enable precise, high-resolution ...
  • Organizing GUI Tests from Behavior‐Driven Development as Videos to Obtain Stakeholders’ Feedback 
    Shi, Jianwei; Mönnich, Jonas; Klünder, Jil; Schneider, Kurt (New York, NY [u.a.] : Wiley-Blackwell, 2024)
    Demonstrating software early and responding to feedback is crucial in agile development. However, it is difficult for stakeholders who are not on-site customers but end users, marketing people, or designers, etc. to give ...
  • Efficient Symbolic Learning over Knowledge Graphs 
    Deshar, Sohan (Hannover : Gottfried Wilhelm Leibniz Universität, Institut für Data Science, 2024)
    Knowledge Graphs (KG) are repositories of structured information. Inductive Logic Programming (ILP) can be used over these KGs to mine logical rules which can then be used to deduce new information and learn new facts from ...
  • Silentium! Run-Analyse-Eradicate the Noise out of the DB/OS Stack 
    Mauerer, Wolfgang; Ramsauer, Ralf; Edson, R. Lucas F.; Lohmann, Daniel; Scherzinger, Stefanie (Bonn : Ges. für Informatik, 2021)
    When multiple tenants compete for resources, database performance tends to suffer. Yet there are scenarios where guaranteed sub-millisecond latencies are crucial, such as in real-time data processing, IoT devices, or when ...
  • On the complexity of horn and krom fragments of second-order boolean logic 
    Hannula, Miika; Kontinen, Juha; Lück, Martin; Virtema, Jonni (Saarbrücken/Wadern, Germany : Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH, Dagstuhl Publishing, 2021)
    Second-order Boolean logic is a generalization of QBF, whose constant alternation fragments are known to be complete for the levels of the exponential time hierarchy. We consider two types of restriction of this logic: 1) ...
  • Linear-Time Temporal Logic with Team Semantics: Expressivity and Complexity 
    Virtema, Jonni; Hofmann, Jana; Finkbeiner, Bernd; Kontinen, Juha; Yang, Fan (Wadern : Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH, 2021)
    We study the expressivity and complexity of model checking of linear temporal logic with team semantics (TeamLTL). TeamLTL, despite being a purely modal logic, is capable of defining hyperproperties, i.e., properties which ...
  • COCOA: COrrelation coefficient-aware data augmentation 
    Esmailoghli, Mahdi; Quiané-Ruiz, Jorge-Arnulfo; Abedjan, Ziawasch (Konstanz, Germany : OpenProceedings.org, University of Konstanz, University Library, 2021)
    Calculating correlation coefficients is one of the most used measures in data science. Although linear correlations are fast and easy to calculate, they lack robustness and effectiveness in the existence of non-linear ...
  • Combining Programming-by-Example with Transformation Discovery from large Databases 
    Özmen, Aslihan; Esmailoghli, Mahdi; Abedjan, Ziawasch (Bonn : Ges. für Informatik, 2021)
    Data transformation discovery is one of the most tedious tasks in data preparation. In particular, the generation of transformation programs for semantic transformations is tricky because additional sources for look-up ...
  • To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support 
    Skitalinskaya, Gabriella; Wachsmuth, Henning (Stroudsburg, PA : Association for Computational Linguistics (ACL), 2023)
    Optimizing the phrasing of argumentative text is crucial in higher education and professional development. However, assessing whether and how the different claims in a text should be revised is a hard task, especially for ...
  • Modeling Appropriate Language in Argumentation 
    Ziegenbein, Timon; Syed, Shahbaz; Lange, Felix; Potthast, Martin; Wachsmuth, Henning (Stroudsburg, PA : Association for Computational Linguistics (ACL), 2023)
    Online discussion moderators must make ad-hoc decisions about whether the contributions of discussion participants are appropriate or should be removed to maintain civility. Existing research on offensive language and the ...

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