Publikationen

2024

• Auslegung und Einsatz von Großwärmepumpen in verschiedenen multivalenten Wärmeversorgungssystemen basierend auf MILP-Optimierung

  Fritz, M., Freißmann, J., & Tuschy, I. (2024). Auslegung und Einsatz von Großwärmepumpen in verschiedenen multivalenten Wärmeversorgungssystemen basierend auf MILP-Optimierung. Zenodo. http://doi.org/10.5281/zenodo.15752964 (Original work published 2026)

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    • Fritz, Malte
    • Freißmann, Jonas
    • Tuschy, Ilja

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  • 2024
  • Miscellaneous
  • • Malte Fritz
    • Jonas Freißmann
    • Ilja Tuschy

• 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 2026)

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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

• Contribution of wind energy education to resilience in the face of the climate crisis

  Schlipf, D., Soto, G. Q., Rodriguez, H. Z., & Brovia, S. P. (2024). Contribution of wind energy education to resilience in the face of the climate crisis. http://doi.org/10.5281/zenodo.13270425 (Original work published 2026)

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    • Schlipf, David

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  • 2024
  • Miscellaneous
  • • David Schlipf
    • Grace Soto
    • Habib Rodriguez
    • Santiago Brovia

• 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

  • 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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  • Personenseiten

    • 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, Č., & 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 impact of redispatch on grid and storage expansion planning in the German energy system

  Büttner, C., & Müller, U. (2024). The impact of redispatch on grid and storage expansion planning in the German energy system. ACM SIGENERGY Energy Informatics Review, 4. Abgerufen von https://energy.acm.org/eir/the-impact-of-redispatch-on-grid-and-storage-expansion-planning-in-the-german-energy-system/

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  • Forschungsprojekt

    • PoWerD - Potenzialatlas für eine Wasserstofferzeugung in Deutschland

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  • 2024
  • Journal Article
  • • Clara Büttner
    • Ulf Müller

• 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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  • Personenseiten

    • 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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    • 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