@inproceedings{Fabo2004,
  author    = {Fabo, Sabine},
  title     = {Audio-visual hybrids : between immersion and detachment},
  year      = {2004},
  abstract  = {Close interrelations between sound and image are not a mere phenomenon of today's multimedia technology. The idea of the synthesis of different media lies at the core of the concept of the Gesamtkunstwerk in the second half of the 19th century and it can also be traced back to the synaesthesia debate at the beginning of the 20th century [...].},
  subject      = {Elektronische Kunst},
  language  = {en}
}
@inproceedings{DoerenWernicke1983,
  author    = {D{\"o}ren, Horst-Peter and Wernicke, K.},
  title     = {Auftragen von verschleißfesten stranggegossenen Hartlegierungen auf Kobaltbasis durch das WIG- und Gasschweißen},
  series = {Schweißen und Schneiden '83 = Welding and Cutting '83. Vortr{\"a}ge der Großen Schweißtechnischen Tagung in Aachen vom 28. bis 30. September 1983. Veranst.: Deutscher Verband f{\"u}r Schweißtechnik (DVS). DVS-Berichte. 83},
  booktitle = {Schweißen und Schneiden '83 = Welding and Cutting '83. Vortr{\"a}ge der Großen Schweißtechnischen Tagung in Aachen vom 28. bis 30. September 1983. Veranst.: Deutscher Verband f{\"u}r Schweißtechnik (DVS). DVS-Berichte. 83},
  publisher = {Dt. Verl. f{\"u}r Schweißtechnik},
  address   = {D{\"u}sseldorf},
  issn      = {3-87155-388-3},
  pages     = {109 -- 113},
  year      = {1983},
  language  = {de}
}
@inproceedings{RazenSpaeteMelissetal.1998,
  author    = {Razen, Manfred and Sp{\"a}te, Frank and Meliß, Michael and Breuer, Maria and Hubrich, J{\"o}rg and Rischert, Christa},
  title     = {Aus-, Fort- und Weiterbildung am Solar-Institut J{\"u}lich},
  series = {Deutschlands Weg in eine solare Zukunft : Tagungsband; 26. - 30. Juni 1998 Fachhochschule K{\"o}ln / 11. Internationales Sonnenforum},
  booktitle = {Deutschlands Weg in eine solare Zukunft : Tagungsband; 26. - 30. Juni 1998 Fachhochschule K{\"o}ln / 11. Internationales Sonnenforum},
  publisher = {Solar Promotion},
  address   = {M{\"u}nchen},
  organization    = {Deutsche Gesellschaft f{\"u}r Sonnenenergie},
  pages     = {1071 -- 1078},
  year      = {1998},
  language  = {de}
}
@inproceedings{KubalskiButenweg2015,
  author    = {Kubalski, T. and Butenweg, Christoph},
  title     = {Ausfachungsmauerwerk unter kombinierter seismischer Beanspruchung},
  series = {Erdbeben und bestehende Bauten : 14. D-A-C-H Tagung 20.08. - 21.08.2015, ETH Z{\"u}rich. (Dokumentation / SIA ; D 0255)},
  booktitle = {Erdbeben und bestehende Bauten : 14. D-A-C-H Tagung 20.08. - 21.08.2015, ETH Z{\"u}rich. (Dokumentation / SIA ; D 0255)},
  publisher = {SGEB},
  address   = {Z{\"u}rich},
  organization    = {D-A-C-H Tagung <14, 2015, Z{\"u}rich>},
  isbn      = {978-3-03732-060-0},
  pages     = {117 -- 122},
  year      = {2015},
  language  = {de}
}
@inproceedings{PflugWahle1994,
  author    = {Pflug, J. and Wahle, Michael},
  title     = {Auslegung der CFK-Sandwich-Rumpfstruktur eines Hubschraubers mit der Methode der Finiten Elemente},
  series = {Basistechnologien f{\"u}r neue Herausforderungen in der Luft- und Raumfahrt : DGLR-Jahrestagung / Deutscher Luft- und Raumfahrt-Kongress 1994, Erlangen, 04.- 07. Oktober 1994. - (Jahrbuch der Deutschen Gesellschaft f{\"u}r Luft- und Raumfahrt ; 1994,3)},
  booktitle = {Basistechnologien f{\"u}r neue Herausforderungen in der Luft- und Raumfahrt : DGLR-Jahrestagung / Deutscher Luft- und Raumfahrt-Kongress 1994, Erlangen, 04.- 07. Oktober 1994. - (Jahrbuch der Deutschen Gesellschaft f{\"u}r Luft- und Raumfahrt ; 1994,3)},
  editor    = {B{\"u}rger, Gudrun},
  publisher = {DGLR},
  address   = {Bonn},
  pages     = {1135 -- 1144},
  year      = {1994},
  language  = {de}
}
@inproceedings{DuemmlerOetringerGoettsche2020,
  author    = {D{\"u}mmler, Andreas and Oetringer, Kerstin and G{\"o}ttsche, Joachim},
  title     = {Auslegungstool zur energieeffizienten K{\"u}hlung von Geb{\"a}uden},
  series = {DKV-Tagung 2020, AA IV},
  booktitle = {DKV-Tagung 2020, AA IV},
  pages     = {1109},
  year      = {2020},
  abstract  = {Thematisch widmet sich das Projekt Coolplan- AIR der Fortentwicklung und Feldvalidierung eines Berechnungs- und Auslegungstools zur energieeffizienten K{\"u}hlung von Geb{\"a}uden mit luftgest{\"u}tzten Systemen. Neben dem Aufbau und der Weiterentwicklung von Simulationsmodellen erfolgen Vermessungen der Gesamtsysteme anhand von Praxisanlagen im Feld. Der Schwerpunkt des Projekts liegt auf der Vermessung, Simulation und Integration rein luftgest{\"u}tzter K{\"u}hltechnologien. Im Bereich der K{\"a}lteerzeugung wurden Luft- Luft- W{\"a}rmepumpen, Anlagen zur adiabaten K{\"u}hlung bzw. offene K{\"u}hlt{\"u}rme und VRF- Multisplit- Systeme (Variable Refrigerant Flow) im Feld bzw. auf dem Teststand der HSD vermessen. Die Komponentenmodelle werden in die Matlab/Simulink- Toolbox CARNOT integriert und anschließend auf Basis der zuvor erhaltenen Messdaten validiert. Einerseits erlauben die Messungen das Betriebsverhalten von Anlagenkomponenten zu analysieren. Andererseits soll mit der Vermessung im Feld gepr{\"u}ft werden, inwieweit die Simulationsmodelle, welche im Vorg{\"a}ngerprojekt aus Pr{\"u}fstandmessungen entwickelt wurden, auch f{\"u}r gr{\"o}ßere Ger{\"a}teleistungen G{\"u}ltigkeit besitzen. Die entwickelten und implementierten Systeme, bestehend aus verschiedensten Anlagenmodellen und Regelungskomponenten, werden gepr{\"u}ft und dahingehend qualifiziert, dass sie in Standard- Auslegungstools zuverl{\"a}ssig verwendet werden k{\"o}nnen. Zus{\"a}tzlich wird ein energetisches Monitoring eines H{\"o}rsaalgeb{\"a}udes am Campus J{\"u}lich durchgef{\"u}hrt, das u. a. zur Validierung der K{\"u}hllastberechnungen in g{\"a}ngigen Simulationsmodelle genutzt werden kann.},
  language  = {de}
}
@inproceedings{VeettilRakshitSchopenetal.2022,
  author    = {Veettil, Yadu Krishna Morassery and Rakshit, Shantam and Schopen, Oliver and Kemper, Hans and Esch, Thomas and Shabani, Bahman},
  title     = {Automated Control System Strategies to Ensure Safety of PEM Fuel Cells Using Kalman Filters},
  series = {Proceedings of the 7th International Conference and Exhibition on Sustainable Energy and Advanced Materials (ICE-SEAM 2021), Melaka, Malaysia},
  booktitle = {Proceedings of the 7th International Conference and Exhibition on Sustainable Energy and Advanced Materials (ICE-SEAM 2021), Melaka, Malaysia},
  editor    = {Bin Abdollah, Mohd Fadzli and Amiruddin, Hilmi and Singh, Amrik Singh Phuman and Munir, Fudhail Abdul and Ibrahim, Asriana},
  publisher = {Springer Nature},
  address   = {Singapore},
  isbn      = {978-981-19-3178-9},
  issn      = {2195-4356},
  doi       = {10.1007/978-981-19-3179-6_55},
  pages     = {296 -- 299},
  year      = {2022},
  abstract  = {Having well-defined control strategies for fuel cells, that can efficiently detect errors and take corrective action is critically important for safety in all applications, and especially so in aviation. The algorithms not only ensure operator safety by monitoring the fuel cell and connected components, but also contribute to extending the health of the fuel cell, its durability and safe operation over its lifetime. While sensors are used to provide peripheral data surrounding the fuel cell, the internal states of the fuel cell cannot be directly measured. To overcome this restriction, Kalman Filter has been implemented as an internal state observer. Other safety conditions are evaluated using real-time data from every connected sensor and corrective actions automatically take place to ensure safety. The algorithms discussed in this paper have been validated thorough Model-in-the-Loop (MiL) tests as well as practical validation at a dedicated test bench.},
  language  = {en}
}
@inproceedings{AyedStrieganKustereretal.2017,
  author    = {Ayed, Anis Haj and Striegan, Constantin J. D. and Kusterer, Karsten and Funke, Harald and Kazari, M. and Horikawa, Atsushi and Okada, Kunio},
  title     = {Automated design space exploration of the hydrogen fueled "Micromix" combustor technology},
  pages     = {1 -- 8},
  year      = {2017},
  abstract  = {Combined with the use of renewable energy sources for its production, Hydrogen represents a possible alternative gas turbine fuel for future low emission power generation. Due to its different physical properties compared to other fuels such as natural gas, well established gas turbine combustion systems cannot be directly applied for Dry Low NOx (DLN) Hydrogen combustion. This makes the development of new combustion technologies an essential and challenging task for the future of hydrogen fueled gas turbines. The newly developed and successfully tested "DLN Micromix" combustion technology offers a great potential to burn hydrogen in gas turbines at very low NOx emissions. Aiming to further develop an existing burner design in terms of increased energy density, a redesign is required in order to stabilise the flames at higher mass flows and to maintain low emission levels. For this purpose, a systematic design exploration has been carried out with the support of CFD and optimisation tools to identify the interactions of geometrical and design parameters on the combustor performance. Aerodynamic effects as well as flame and emission formation are observed and understood time- and cost-efficiently. Correlations between single geometric values, the pressure drop of the burner and NOx production have been identified as a result. This numeric methodology helps to reduce the effort of manufacturing and testing to few designs for single validation campaigns, in order to confirm the flame stability and NOx emissions in a wider operating condition field.},
  language  = {en}
}
@inproceedings{SildatkeKarwanniKraftetal.2020,
  author    = {Sildatke, Michael and Karwanni, Hendrik and Kraft, Bodo and Schmidts, Oliver and Z{\"u}ndorf, Albert},
  title     = {Automated Software Quality Monitoring in Research Collaboration Projects},
  series = {ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops},
  booktitle = {ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops},
  publisher = {IEEE},
  address   = {New York, NY},
  doi       = {10.1145/3387940.3391478},
  pages     = {603 -- 610},
  year      = {2020},
  abstract  = {In collaborative research projects, both researchers and practitioners work together solving business-critical challenges. These projects often deal with ETL processes, in which humans extract information from non-machine-readable documents by hand. AI-based machine learning models can help to solve this problem. Since machine learning approaches are not deterministic, their quality of output may decrease over time. This fact leads to an overall quality loss of the application which embeds machine learning models. Hence, the software qualities in development and production may differ. Machine learning models are black boxes. That makes practitioners skeptical and increases the inhibition threshold for early productive use of research prototypes. Continuous monitoring of software quality in production offers an early response capability on quality loss and encourages the use of machine learning approaches. Furthermore, experts have to ensure that they integrate possible new inputs into the model training as quickly as possible. In this paper, we introduce an architecture pattern with a reference implementation that extends the concept of Metrics Driven Research Collaboration with an automated software quality monitoring in productive use and a possibility to auto-generate new test data coming from processed documents in production. Through automated monitoring of the software quality and auto-generated test data, this approach ensures that the software quality meets and keeps requested thresholds in productive use, even during further continuous deployment and changing input data.},
  language  = {en}
}
@inproceedings{BlaneckBornheimGriegeretal.2022,
  author    = {Blaneck, Patrick Gustav and Bornheim, Tobias and Grieger, Niklas and Bialonski, Stephan},
  title     = {Automatic readability assessment of german sentences with transformer ensembles},
  series = {Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text},
  booktitle = {Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text},
  publisher = {Association for Computational Linguistics},
  address   = {Potsdam},
  doi       = {10.48550/arXiv.2209.04299},
  pages     = {57 -- 62},
  year      = {2022},
  abstract  = {Reliable methods for automatic readability assessment have the potential to impact a variety of fields, ranging from machine translation to self-informed learning. Recently, large language models for the German language (such as GBERT and GPT-2-Wechsel) have become available, allowing to develop Deep Learning based approaches that promise to further improve automatic readability assessment. In this contribution, we studied the ability of ensembles of fine-tuned GBERT and GPT-2-Wechsel models to reliably predict the readability of German sentences. We combined these models with linguistic features and investigated the dependence of prediction performance on ensemble size and composition. Mixed ensembles of GBERT and GPT-2-Wechsel performed better than ensembles of the same size consisting of only GBERT or GPT-2-Wechsel models. Our models were evaluated in the GermEval 2022 Shared Task on Text Complexity Assessment on data of German sentences. On out-of-sample data, our best ensemble achieved a root mean squared error of 0:435.},
  language  = {en}
}