@inproceedings{GeibenGoettenHavermann2020,
  author    = {Geiben, Benedikt and G{\"o}tten, Falk and Havermann, Marc},
  title     = {Aerodynamic analysis of a winged sub-orbital spaceplane},
  publisher = {DGLR},
  address   = {Bonn},
  doi       = {10.25967/530170},
  year      = {2020},
  abstract  = {This paper primarily presents an aerodynamic CFD analysis of a winged spaceplane geometry based on the Japanese Space Walker proposal. StarCCM was used to calculate aerodynamic coefficients for a typical space flight trajectory including super-, trans- and subsonic Mach numbers and two angles of attack. Since the solution of the RANS equations in such supersonic flight regimes is still computationally expensive, inviscid Euler simulations can principally lead to a significant reduction in computational effort. The impact on accuracy of aerodynamic properties is further analysed by comparing both methods for different flight regimes up to a Mach number of 4.},
  language  = {en}
}
@inproceedings{MarcoFerrein2017,
  author    = {Marco, Heather G. and Ferrein, Alexander},
  title     = {AGNES: The African-German Network of Excellence in Science},
  series = {Proceedings of the 2nd Developing World Robotics Forum, Workshop at IEEE AFRICON 2017},
  booktitle = {Proceedings of the 2nd Developing World Robotics Forum, Workshop at IEEE AFRICON 2017},
  pages     = {1 -- 2},
  year      = {2017},
  language  = {en}
}
@inproceedings{WarerkarSchmitzGoettscheetal.2009,
  author    = {Warerkar, Shashikant and Schmitz, Stefan and G{\"o}ttsche, Joachim and Hoffschmidt, Bernhard and Reißel, Martin and Tamme, Rainer},
  title     = {Air-sand heat exchanger for high-temperature storage},
  series = {Proceedings of the ASME 3rd International Conference on Energy Sustainability : July 19 - 23, 2009, San Francisco, California, USA. Vol. 2},
  booktitle = {Proceedings of the ASME 3rd International Conference on Energy Sustainability : July 19 - 23, 2009, San Francisco, California, USA. Vol. 2},
  publisher = {ASME},
  address   = {New York, NY},
  isbn      = {978-0-7918-4890-6},
  pages     = {655 -- 661},
  year      = {2009},
  language  = {en}
}
@inproceedings{BaumannTeixeiraBouraGoettscheetal.2011,
  author    = {Baumann, Torsten and Teixeira Boura, Cristiano Jos{\´e} and G{\"o}ttsche, Joachim and Hoffschmidt, Bernhard and Schmitz, Stefan and Zunft, Stefan},
  title     = {Air-sand heat exchanger: materials and flow properties},
  series = {SolarPACES 2011 : concentrating solar power and chemical energy systems : 20 - 23 September, 2011, Granada, Spain},
  booktitle = {SolarPACES 2011 : concentrating solar power and chemical energy systems : 20 - 23 September, 2011, Granada, Spain},
  address   = {Granada},
  pages     = {1 CD-ROM},
  year      = {2011},
  language  = {en}
}
@inproceedings{Bung2013,
  author    = {Bung, Daniel Bernhard},
  title     = {Air-water surface roughness in self-aerated stepped spillway flows},
  series = {35th IAHR world congress : 8.-13.9.2013, Chengdu, China},
  booktitle = {35th IAHR world congress : 8.-13.9.2013, Chengdu, China},
  publisher = {Tsinghua Univ. Press},
  address   = {Beijing},
  organization    = {International Association for Hydraulic Engineering and Research},
  pages     = {Artikelkennnummer: A11045},
  year      = {2013},
  language  = {en}
}
@inproceedings{BaumannTeixeiraBouraGoettscheetal.2010,
  author    = {Baumann, T. and Teixeira Boura, Cristiano Jos{\´e} and G{\"o}ttsche, Joachim and Hoffschmidt, Bernhard and O'Connell, B. and Schmitz, S. and Zunft, S.},
  title     = {Air/Sand heat exchanger design and materials for solar thermal power plant applications},
  series = {SolarPACES 2010 : the CSP Conference: electricity, fuels and clean water from concentrated solar energy ; 21 to 24 September 2010, Perpignan, France},
  booktitle = {SolarPACES 2010 : the CSP Conference: electricity, fuels and clean water from concentrated solar energy ; 21 to 24 September 2010, Perpignan, France},
  publisher = {Soc. OSC},
  address   = {Saint Maur},
  pages     = {146 -- 147},
  year      = {2010},
  language  = {en}
}
@inproceedings{GligorevicZierhutJostetal.2009,
  author    = {Gligorevic, Snjezana and Zierhut, R. and Jost, T. and Wang, Wei},
  title     = {Airport channel measurements at 5.2GHz},
  series = {3rd European Conference on Antennas and Propagation : (EuCAP) ; Berlin, Germany, 23 - 27 March 2009},
  booktitle = {3rd European Conference on Antennas and Propagation : (EuCAP) ; Berlin, Germany, 23 - 27 March 2009},
  organization    = {European Conference on Antennas and Propagation <3, 2009, Berlin>},
  isbn      = {978-1-4244-4753-4 ; 978-3-00-024573-2},
  pages     = {877 -- 881},
  year      = {2009},
  language  = {en}
}
@inproceedings{KohlFreyerKraemeretal.2023,
  author    = {Kohl, Philipp and Freyer, Nils and Kr{\"a}mer, Yoka and Werth, Henri and Wolf, Steffen and Kraft, Bodo and Meinecke, Matthias and Z{\"u}ndorf, Albert},
  title     = {ALE: a simulation-based active learning evaluation framework for the parameter-driven comparison of query strategies for NLP},
  series = {Deep Learning Theory and Applications},
  booktitle = {Deep Learning Theory and Applications},
  editor    = {Conte, Donatello and Fred, Ana and Gusikhin, Oleg and Sansone, Carlo},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-39058-6 (Print)},
  doi       = {10.1007/978-3-031-39059-3_16},
  pages     = {235 -- 253},
  year      = {2023},
  abstract  = {Supervised machine learning and deep learning require a large amount of labeled data, which data scientists obtain in a manual, and time-consuming annotation process. To mitigate this challenge, Active Learning (AL) proposes promising data points to annotators they annotate next instead of a subsequent or random sample. This method is supposed to save annotation effort while maintaining model performance. However, practitioners face many AL strategies for different tasks and need an empirical basis to choose between them. Surveys categorize AL strategies into taxonomies without performance indications. Presentations of novel AL strategies compare the performance to a small subset of strategies. Our contribution addresses the empirical basis by introducing a reproducible active learning evaluation (ALE) framework for the comparative evaluation of AL strategies in NLP. The framework allows the implementation of AL strategies with low effort and a fair data-driven comparison through defining and tracking experiment parameters (e.g., initial dataset size, number of data points per query step, and the budget). ALE helps practitioners to make more informed decisions, and researchers can focus on developing new, effective AL strategies and deriving best practices for specific use cases. With best practices, practitioners can lower their annotation costs. We present a case study to illustrate how to use the framework.},
  language  = {en}
}
@inproceedings{AltherrEdererSchaenzleetal.2017,
  author    = {Altherr, Lena and Ederer, Thorsten and Sch{\"a}nzle, Christian and Lorenz, Ulf and Pelz, Peter F.},
  title     = {Algorithmic system design using scaling and affinity laws},
  series = {Operations Research Proceedings 2015},
  booktitle = {Operations Research Proceedings 2015},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-42901-4},
  doi       = {10.1007/978-3-319-42902-1},
  pages     = {605 -- 611},
  year      = {2017},
  abstract  = {Energy-efficient components do not automatically lead to energy-efficient systems. Technical Operations Research (TOR) shifts the focus from the single component to the system as a whole and finds its optimal topology and operating strategy simultaneously. In previous works, we provided a preselected construction kit of suitable components for the algorithm. This approach may give rise to a combinatorial explosion if the preselection cannot be cut down to a reasonable number by human intuition. To reduce the number of discrete decisions, we integrate laws derived from similarity theory into the optimization model. Since the physical characteristics of a production series are similar, it can be described by affinity and scaling laws. Making use of these laws, our construction kit can be modeled more efficiently: Instead of a preselection of components, it now encompasses whole model ranges. This allows us to significantly increase the number of possible set-ups in our model. In this paper, we present how to embed this new formulation into a mixed-integer program and assess the run time via benchmarks. We present our approach on the example of a ventilation system design problem.},
  language  = {en}
}
@inproceedings{DyllaFerreinLakemeyer2003,
  author    = {Dylla, Frank and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {AllemaniACs 2003 team description},
  series = {RoboCup 2003 : Robot Soccer World Cup VII},
  booktitle = {RoboCup 2003 : Robot Soccer World Cup VII},
  pages     = {1 -- 3},
  year      = {2003},
  language  = {en}
}