Publikationen

2020

• TESPy: Thermal Engineering Systems in Python

  Witte, F. ., & Tuschy, I. . (2020). TESPy: Thermal Engineering Systems in Python. Journal of Open Source Software, 5, 2178. http://doi.org/10.21105/joss.02178 (Original work published 2025)

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    • Witte, Francesco
    • Tuschy, Ilja

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    • Fachbereich 2: Energy and Life Science

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  • 2020
  • Journal Article
  • • Francesco Witte
    • Ilja Tuschy

• Robust gain scheduling baseline controller for floating offshore wind turbines

  Lemmer, F. ., Yu, W. ., Schlipf, D. ., & Cheng, P. W. (2020). Robust gain scheduling baseline controller for floating offshore wind turbines. Wind Energy, 23, 17–30. http://doi.org/10.1002/we.2408 (Original work published 2025)

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    • Schlipf, David

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  • 2020
  • Journal Article
  • • Frank Lemmer
    • Wei Yu
    • David Schlipf
    • Po Cheng

• Shifted thermal extraction rates in large Borehole Heat Exchanger array - A numerical experiment

  Chen, S. ., Witte, F. ., Kolditz, O. ., & Shao, H. . (2020). Shifted thermal extraction rates in large Borehole Heat Exchanger array - A numerical experiment. Applied Thermal Engineering, 167, 114750. http://doi.org/10.1016/j.applthermaleng.2019.114750 (Original work published 2025)

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    • Witte, Francesco

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    • Fachbereich 2: Energy and Life Science

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  • 2020
  • Journal Article
  • • Shuang Chen
    • Francesco Witte
    • Olaf Kolditz
    • Haibing Shao

• Multi-objective investment optimization for energy system models in high temporal and spatial resolution

  Prina, M. G., Casalicchio, V. ., Kaldemeyer, C. ., Manzolini, G. ., Moser, D. ., Wanitschke, A. ., & Sparber, W. . (2020). Multi-objective investment optimization for energy system models in high temporal and spatial resolution. Applied Energy, 264, 114728. http://doi.org/10.1016/j.apenergy.2020.114728 (Original work published 2025)

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    • Fachbereich 2: Energy and Life Science

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  • 2020
  • Journal Article
  • • Matteo Prina
    • Valeria Casalicchio
    • Cord Kaldemeyer
    • Giampaolo Manzolini
    • David Moser
    • Alexander Wanitschke
    • Wolfram Sparber

• Spatial task solving on tablets: analysing mental and physical rotation processes of 12–13-year olds

  Wetzel, S. ., Bertel, S. ., Montag, M. ., & Zander, S. . (2020). Spatial task solving on tablets: analysing mental and physical rotation processes of 12–13-year olds. Educational Technology Research and Development, 68(1), 363–381. http://doi.org/10.1007/s11423-019-09699-8

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  Spatial skill assessment and training are promising fields of application for tablets, as touch-based interaction can prime and support mental transformations of spatial knowledge. We report on a study with 49 secondary school students who used our iPad app to solve mental and physical rotation tasks. During physical rotation, students were able to rotate 3D stimuli using touch interaction. Results show specific similarities (e.g., regarding angular disparity effects) as well as differences between mental and physical conditions, such as for task success, mental effort, efficiency; all to the advantage of the physical condition. 12–13-year olds can benefit from these advantages without previous task training, whereas previous research showed this to be different for younger students. In a second step, our analysis compares low and high achievers regarding physical rotation behaviour and motivational variables, including expected success. The results lay grounds for constructing individualized, tablet-based training apps for spatial skills.

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    • Bertel, Sven

  • Abteilung/Einrichtung

    • CIVU – Center for Interaction, Visualization and Usability

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2020
  • Journal Article
  • • Stefanie Wetzel
    • Sven Bertel
    • Michael Montag
    • Steffi Zander

• Higgs-mass predictions in the MSSM and beyond

  Slavich, P. ., Heinemeyer, S. ., Bagnaschi, E. ., Bahl, H. ., Goodsell, M. ., Haber, H. E., … Staub, F. . (2020). Higgs-mass predictions in the MSSM and beyond. The European Physical Journal C, 81, 71. http://doi.org/10.1140/epjc/s10052-021-09198-2 (Original work published Mai 2022)

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  Predictions for the Higgs masses are a distinctive feature of supersymmetric extensions of the Standard Model, where they play a crucial role in constraining the parameter space. The discovery of a Higgs boson and the remarkably precise measurement of its mass at the LHC have spurred new efforts aimed at improving the accuracy of the theoretical predictions for the Higgs masses in supersymmetric models. The "Precision SUSY Higgs Mass Calculation Initiative" (KUTS) was launched in 2014 to provide a forum for discussions between the different groups involved in these efforts. This report aims to present a comprehensive overview of the current status of Higgs-mass calculations in supersymmetric models, to document the many advances that were achieved in recent years and were discussed during the KUTS meetings, and to outline the prospects for future improvements in these calculations.

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    • Fachbereich 2: Energy and Life Science

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  • 2020
  • Journal Article
  • • Pietro Slavich
    • Sven Heinemeyer
    • Emanuele Bagnaschi
    • Henning Bahl
    • Mark Goodsell
    • Howard Haber
    • Thomas Hahn
    • Robert Harlander
    • Wolfgang Hollik
    • Gabriel Lee
    • Margarete Mühlleitner
    • Sebastian Paßehr
    • Heidi Rzehak
    • Dominik Stöckinger
    • Alexander Voigt
    • Carlos Wagner
    • Georg Weiglein
    • Ben Allanach
    • Thomas Biekötter
    • Sophia Borowka
    • Johannes Braathen
    • Marcela Carena
    • Thi Dao
    • Guiseppe Degrassi
    • Florian Domingo
    • Peter Drechsel
    • Ulrich Ellwanger
    • Martin Gabelmann
    • Ramona Gröber
    • Jonas Klappert
    • Thomas Kwasnitza
    • Daniel Meuser
    • Luminita Mihaila
    • Nick Murphy
    • Kilian Nickel
    • Werner Porod
    • E. Rojas
    • Ivan Sobolev
    • Florian Staub
  • • arXiv
    • Teilchenphysik
    • Higgs

• Determining the Load Inertia Contribution from Different Power Consumer Groups

  Thiesen, H. ., & Jauch, C. . (2020). Determining the Load Inertia Contribution from Different Power Consumer Groups. Energies, 13(7). http://doi.org/10.3390/en13071588 (Original work published April 2020)

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  Power system inertia is a vital part of power system stability. The inertia response within the first seconds after a power imbalance reduces the velocity of which the grid frequency changes. At present, large shares of power system inertia are provided by synchronously rotating masses of conventional power plants. A minor part of power system inertia is supplied by power consumers. The energy system transformation results in an overall decreasing amount of power system inertia. Hence, inertia has to be provided synthetically in future power systems. In depth knowledge about the amount of inertia provided by power consumers is very important for a future application of units supplying synthetic inertia. It strongly promotes the technical efficiency and cost effective application. A blackout in the city of Flensburg allows for a detailed research on the inertia contribution from power consumers. Therefore, power consumer categories are introduced and the inertia contribution is calculated for each category. Overall, the inertia constant for different power consumers is in the range of 0.09 to 4.24 s if inertia constant calculations are based on the power demand. If inertia constant calculations are based on the apparent generator power, the load inertia constant is in the range of 0.01 to 0.19 s.

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    • Thiesen, Henning
    • Jauch, Clemens

  • Abteilung/Einrichtung

    • Wind Energy Technology Institute

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  • 2020
  • Journal Article
  • • Henning Thiesen
    • Prof. Dr. Clemens Jauch

• Simulation of scattered radiation during intraoperative imaging in a virtual reality learning environment

  Süncksen, M. ., Bott, O. ., Dresing, K. ., & Teistler, M. . (2020). Simulation of scattered radiation during intraoperative imaging in a virtual reality learning environment. International Journal of Computer Assisted Radiology and Surgery , 15, 691–701. http://doi.org/10.1007/s11548-020-02126-x (Original work published April 2020)

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  Purpose Scattered radiation, which occurs when using a C-arm for intraoperative radiography, can be better understood through interactive visualization. We developed a virtual reality (VR) approach for the simulation of scattered radiation (SSR) as part of a C-arm training system. In VR, it is important to avoid cyber sickness, which is often caused by increased latency between head motion and image presentation inside the head-mounted display. As the latency requirement interferes with the computational complexity of the SSR, the goal has been to maintain a low latency during the simultaneous computation of the SSR on moderate-cost consumer hardware. Methods For use with a VR C-arm simulator, a CUDA-based Monte Carlo SSR has been improved to utilize GPU resources unused by the VR image generation. Resulting SSR data are visualized through volume rendering with pseudo-colored scattered radiation superimposed onto the virtual operating room. The resulting interactive VR–SSR environment was evaluated with operating room personnel (ORP) and surgeons using questionnaires. Results Depending on the imaged body part and computation parameters, the required computation time to complete one SSR run was between 1.6 and 4.2 s (ankle) and between 7.9 and 14.9 s (thigh), and VR frame times from 11 to 12 ms (95th percentile). The system was evaluated with ORP (n = 46) and surgeons (n = 25). The median of professional C-arm experience was 5 (range 1 to 34) years (ORP) and 12.5 (range 2 to 48) years (surgeons), respectively. The demonstrated prototype was found useful by 78% of ORP and 88% of the surgeons. On a Likert scale, more than 90% of both groups “agreed fully” that the presented way of visualizing SSR in VR helps understanding intraoperative exposure to scattered radiation. Conclusions Leveraging off-the-shelf computer equipment, the feasibility of SSR and VR for interactive training has been demonstrated. Evaluation participants showed a high interest for the presented approach. Feedback suggests that the visualization experienced by the users helps understanding radiation hazards in the operating room.

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    • Teistler, Michael

  • Forschungsprojekt

    • Computerbasierte Ausbildung in der Medizinischen Bildgebung durch virtuelle und spielbasierte Lernumgebungen

  • Abteilung/Einrichtung

    • CIVU – Center for Interaction, Visualization and Usability

  • Profilbereich

    • Informatik und Gestaltung

  • Forschungsfeld

    • Digitalisierung im Gesundheitswesen
    • Human-Computer-Interaction

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2020
  • Journal Article
  • • Matthias Süncksen
    • Oliver Bott
    • Klaus Dresing
    • Michael Teistler

• Regression testing for large-scale embedded software development—Exploring the state of practice

  Minhas, N. M., Petersen, K. ., Börstler, J. ., & Wnuk, K. . (2020). Regression testing for large-scale embedded software development—Exploring the state of practice. Information and Software Technology, 120, 106254.

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    • Petersen, Kai

  • Abteilung/Einrichtung

    • FLAIR - Flensburg Artificial Intelligence Research

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  • 2020
  • Journal Article
  • • Nasir Minhas
    • Kai Petersen
    • Jürgen Börstler
    • Krzysztof Wnuk

• Implementing a Library for Probabilistic Programming Using Non-Strict Non-Determinism

  Dylus, S. ., Christiansen, J. ., & Teegen, F. . (2020). Implementing a Library for Probabilistic Programming Using Non-Strict Non-Determinism. Theory and Practice of Logic Programming, 20, 147–175. http://doi.org/10.1017/S1471068419000085

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    • Christiansen, Jan

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    • Fachbereich 3: Information und Kommunikation

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  • 2020
  • Journal Article
  • • Sandra Dylus
    • Jan Christiansen
    • Finn Teegen