Publikationen

2024

• IEA Wind Task 52 LAC Summer Games 2024

  Schlipf, D. ., Guo, F. ., Liang, Z. ., Pitter, M. ., Lopez-Queija, J. ., Rinker, J. ., … Weich, S. . (2024). IEA Wind Task 52 LAC Summer Games 2024. http://doi.org/10.5281/zenodo.13235189 (Original work published 2025)

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    • Schlipf, David

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  • 2024
  • Miscellaneous
  • • David Schlipf
    • Feng Guo
    • Zhi Liang
    • Mark Pitter
    • Javier Lopez-Queija
    • Jenni Rinker
    • Aravind Venkatachalapathy
    • Simon Weich

• Navigating the complexities of a changing world - Interdisciplinary Electives at Flensburg University of Applied Sciences

  van der Sluis, H. ., & John, P. . (2024). Navigating the complexities of a changing world - Interdisciplinary Electives at Flensburg University of Applied Sciences. Educational Developments, 25.4, 4. Abgerufen von https://www.seda.ac.uk/seda-publishing/educational-developments/educational-developments-issue-25-4-2024/ (Original work published Dezember 2024)

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  In a competitive Higher Education (HE) landscape, universities face the challenge of developing an organisational culture that supports the needs of its staff and students. The traditional staff development approach has been the attainment of skills through teaching and the completion of certificates of learning. This article challenges that practice and seeks to make the case for a renewed focus on the importance of learning through individual and group coaching practice to be ingrained into universities, shifting from a view of staff development purely as the acquisition of skills through training and teaching and moving towards
  engaged learning.

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    • John, Peter

  • Abteilung/Einrichtung

    • Dekanat FB3
    • Lern- und Sprachenzentrum (LSZ)

  • Forschungsfeld

    • Fachkräfte und Vernetzung

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2024
  • Journal Article
  • • Hendrik van der Sluis
    • Peter John

• Subjective Quality Evaluation of 8-bit and 10-bit MP4-Coded Video Sequences from Netflix

  Falkowski-Gilski, P. ., Uhl, T. ., & Divakarachari, P. . (2024). Subjective Quality Evaluation of 8-bit and 10-bit MP4-Coded Video Sequences from Netflix. Szczecin/Poland: Scientific Journals PMS. http://doi.org/10.17402/613 (Original work published Dezember 2024)

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    • Uhl, Tadeus

  • Forschungsfeld

    • IT-Security

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2024
  • Journal
  • • Przemyslaw Falkowski-Gilski
    • Tadeus Uhl
    • Parameshachari Divakarachari

• QUIC(K) communication for GPU Virtualization in Edge Computing

  Lübben, R. ., Gaikwad, N. B., Stefanović, Čedomir ., & Kosta, S. . (2024). QUIC(K) communication for GPU Virtualization in Edge Computing. In International Conference on Wireless and Mobile Computing, Networking and Communications. Paris: IEEE. (Original work published Oktober 2024)

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    • Lübben, Ralf

  • Abteilung/Einrichtung

    • FLAIR - Flensburg Artificial Intelligence Research

  • Forschungsfeld

    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 4: Wirtschaft

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  • 2024
  • Conference Paper
  • • Ralf Lübben
    • Nikhil Gaikwad
    • Čedomir Stefanović
    • Sokol Kosta

• The Use of Machine Learning in Modeling Video Quality Assessment

  Klink, J. ., Łuczyński, M. ., & Uhl, T. . (2024). The Use of Machine Learning in Modeling Video Quality Assessment. In 32nd International Conference on Software, Telecommunications and Computer Networks (S. 6). Split-Bol/Croatia: IEEE Xplore. http://doi.org/10.23919/SoftCOM62040.2024.10722023 (Original work published September 2024)

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    • Uhl, Tadeus

  • Forschungsfeld

    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2024
  • Conference Paper
  • • Janusz Klink
    • Michał Łuczyński
    • Tadeus Uhl

• Enhancing Drone Operation Efficiency and Operator Experience: Integrating Extended Reality and Adaptive Systems with Situation-Aware Models

  Bendig, H. . (2024). Enhancing Drone Operation Efficiency and Operator Experience: Integrating Extended Reality and Adaptive Systems with Situation-Aware Models. Mensch und Computer 2024. Karlsruhe, Germany: Gesellschaft für Informatik e.V. http://doi.org/10.18420/muc2024-mci-dc-178 (Original work published September 2024)

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  This research project investigates how adaptive Augmented Reality (AR) applications can improve the efficiency of drone operations and the experience of operators. Drones, particularly Unmanned Aerial Vehicles (UAVs), are increasingly employed in search and rescue (SAR) missions due to their rapid deployment capabilities and the ability to access hazardous areas or viewpoints that are otherwise unreachable. Operating drones in these high-demanding scenarios requires operators to possess certain cognitive abilities to manage the UAV effectively. Our research aims to develop a situation-aware interaction model that considers data from the task, the UAVs, and the human operator, offering support during demanding missions or low abilities. This model will be integrated into an AR application designed to adjust to the current situation, thereby enhancing operational outcomes and user experience.

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  • Personenseiten

    • Bendig, Henner

  • Abteilung/Einrichtung

    • CIVU – Center for Interaction, Visualization and Usability
    • UsabilityLab

  • Profilbereich

    • Informatik und Gestaltung

  • Forschungsfeld

    • Human-Computer-Interaction
    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2024
  • Conference Proceedings
  • • Henner Bendig
  • • augmented reality
    • uav interaction
    • eyetracking
    • biocybernetic control loop
    • Immersive Technologies

• Automatically generated state observers – toolchain and validation with real measurements

  Geisler, J. . (2024). Automatically generated state observers – toolchain and validation with real measurements. In Torque 2024. Florenz: IOP Publishing. http://doi.org/10.1088/1742-6596/2767/3/032003 (Original work published Juni 2024)

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  State estimation of wind turbines is the basis for many advanced control strategies and analysis applications such as condition monitoring, fault diagnosis, and much more. It depends on the application and its goals, which states of the real turbine are relevant. Therefore, estimators with different levels of detail and sets of states suitable for the problem at hand are needed. This paper describes a toolchain that generates custom-tailored code for an extended Kalman filter. The aim is to create computationally highly efficient estimators for a wide range of applications. Automatic generation of source code allows for agile experimentation and reduces the risk of time-consuming implementation errors. The new contributions are the selection and combination of all parts of the toolchain, the extension of the integration algorithm to include the Jacobian of the transition function, and the adaptation of an efficient covariance auto-tuning algorithm. Four different models are validated in a three-stage process, including measurement data from a real turbine.

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    • Geisler, Jens

  • Profilbereich

    • Erneuerbare Energien und nachhaltige Entwicklung

  • Forschungsfeld

    • Wind
    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2024
  • Conference Paper
  • • Jens Geisler

• User experience evaluation study on the quality of 1K, 2K, and 4K H.265/HEVC video content

  Falkowski-Gilski, P. ., & Uhl, T. . (2024). User experience evaluation study on the quality of 1K, 2K, and 4K H.265/HEVC video content. Szczecin/Poland: Scientific Journals PMS. http://doi.org/10.17402/595 (Original work published Juni 2024)

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    • Uhl, Tadeus

  • Forschungsfeld

    • IT-Security

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2024
  • Journal
  • • Przemyslaw Falkowski-Gilski
    • Tadeus Uhl

• Enhancing Spatial Problem-Solving Through Data-Driven Methods: A Practical Approach Utilizing Immersive Technologies and Multimodal Physical Tracking

  Bendig, H. . (2024). Enhancing Spatial Problem-Solving Through Data-Driven Methods: A Practical Approach Utilizing Immersive Technologies and Multimodal Physical Tracking. In Companion Proceedings of the 29th International Conference on Intelligent User Interfaces (S. 150–152). Greenville, SC, USA: Association for Computing Machinery. http://doi.org/10.1145/3640544.3645244 (Original work published März 2024)

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  This project aims to explore how data-driven methods can be used to enhance humans’ problem-solving skills in spatial tasks and how they can be integrated into immersive tutoring systems. The goal is to provide an enhanced, state-dependent approach that is also applicable outside the laboratory, within real-life scenarios. Digital tutoring and learning systems are typically expert systems and follow a predefined training routine. Ongoing research concentrates on adaptive methods within affective- and cognition-aware systems, yet there is comparatively less investigation into recognizing and adapting problem-solving strategies. Spatial skill have been shown to be especially important for STEM (Science, Technology, Engineering, Mathematics) disciplines in general. Due to their design, immersive systems are particularly suitable for training of spatial skills and are thus frequently utilized for this.

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    • Bendig, Henner

  • Abteilung/Einrichtung

    • CIVU – Center for Interaction, Visualization and Usability
    • UsabilityLab

  • Profilbereich

    • Informatik und Gestaltung

  • Forschungsfeld

    • Human-Computer-Interaction
    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2024
  • Conference Paper
  • • Henner Bendig
  • • Data-driven Methods
    • Immersive Technologies
    • Spatial Skills
    • biocybernetic control loop

• Hydraulic variable inertia flywheel

  Jauch, C. ., Jost, R. ., & Kloft, P. . (2024). Hydraulic variable inertia flywheel. Applied Energy, 360, 16. http://doi.org/https://doi.org/10.1016/j.apenergy.2024.122830 (Original work published Februar 2024)

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  A novel variable inertia flywheel that uses the mass of a rotating hydraulic fluid is proposed in this paper. In contrast to variable inertia flywheels that use solid masses, this flywheel stands out for its simplicity. In contrast to many other common energy storages, it does not require any environmentally harmful, rare or expensive materials. The basic working principle and the equations that cover the hydraulic behaviour, the pneumatic behaviour and the energy from angular momentum are introduced. These equations are applied to the geometry of the proposed flywheel concept, which allows quantifying the pressures that act on the different mechanical flywheel components. These pressures, together with the centrifugal acceleration from rotation, lead to the loads that have to be withstood by the mechanical components. A simple method for quantifying these loads, and for dimensioning the mechanical components, allows deriving the stationary masses and inertias. A parameter study is conducted, in which different parameters of the flywheel are varied in order to find the maxima in energy density and specific energy. The results of this parameter study reveal that the proposed hydraulic variable inertia flywheel is a very simple and safe energy storage that could provide AC power systems with inertia and control power to support their frequency.

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  • Personenseiten

    • Jauch, Clemens

  • Forschungsprojekt

    • Inno!Nord: Innovationslabor: Speicher zur Nutzung erneuerbarer Energien im echten Norden

  • Abteilung/Einrichtung

    • Wind Energy Technology Institute

  • Profilbereich

    • Erneuerbare Energien und nachhaltige Entwicklung

  • Forschungsfeld

    • Innovation und Wachstum, Nachhaltigkeit
    • Wind
    • Netzintegration

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2024
  • Journal Article
  • • Prof. Dr. Clemens Jauch
    • Rebecca Jost
    • Peter Kloft
  • • Energy storage
    • Fluid
    • Flywheel
    • Kinetic energy
    • Variable moment of inertia
    • Variable inertia flywheel