@inproceedings{GaoBabilonPfaffetal.2018,
  author    = {Gao, H. and Babilon, Katharina and Pfaff, Raphael and Gan, F. and Reich, A.},
  title     = {Model of wheel-rail contact for sanding and adhesion enhancement},
  series = {Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/wheel Systems, CM 2018},
  booktitle = {Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/wheel Systems, CM 2018},
  isbn      = {978-946186963-0},
  pages     = {314 -- 321},
  year      = {2018},
  language  = {en}
}
@inproceedings{Pfaff2018,
  author    = {Pfaff, Raphael},
  title     = {Railway Challenge 2018 - Ein Wettbewerb f{\"u}r Parkbahn-Lokomotiven},
  series = {Deine Bahn},
  booktitle = {Deine Bahn},
  issn      = {0948-7263},
  pages     = {22 -- 24},
  year      = {2018},
  language  = {de}
}
@inproceedings{PfaffMelcherFranzen2018,
  author    = {Pfaff, Raphael and Melcher, Karin and Franzen, Julian},
  title     = {Rare event simulation to optimise maintenance intervals of safety critical redundant subsystems},
  series = {Proceedings of the European Conference of the PHM Society},
  volume    = {4},
  booktitle = {Proceedings of the European Conference of the PHM Society},
  number    = {1},
  pages     = {1 -- 6},
  year      = {2018},
  language  = {en}
}
@inproceedings{WiesenEngemannLimpertetal.2018,
  author    = {Wiesen, Patrick and Engemann, Heiko and Limpert, Nicolas and Kallweit, Stephan},
  title     = {Learning by Doing - Mobile Robotics in the FH Aachen ROS Summer School},
  series = {European Robotics Forum 2018, TRROS18 Workshop},
  booktitle = {European Robotics Forum 2018, TRROS18 Workshop},
  pages     = {47 -- 58},
  year      = {2018},
  language  = {en}
}
@inproceedings{SerrorHenzeHacketal.2018,
  author    = {Serror, Martin and Henze, Martin and Hack, Sacha and Schuba, Marko and Wehrle, Klaus},
  title     = {Towards in-network security for smart homes},
  series = {13th International Conference on Availability, Reliability and Security, ARES 2018; Hamburg; Germany; 27 August 2018 through 30 August 2018},
  booktitle = {13th International Conference on Availability, Reliability and Security, ARES 2018; Hamburg; Germany; 27 August 2018 through 30 August 2018},
  isbn      = {978-145036448-5},
  doi       = {10.1145/3230833.3232802},
  pages     = {Article numer 3232802},
  year      = {2018},
  language  = {en}
}
@inproceedings{RendonDieckmannWeidleetal.2018,
  author    = {Rendon, Carlos and Dieckmann, Simon and Weidle, Mathias and Dersch, J{\"u}rgen and Teixeira Boura, Cristiano Jos{\´e} and Polklas, Thomas and Kuschel, Marcus and Herrmann, Ulf},
  title     = {Retrofitting of existing parabolic trough collector power plants with molten salt tower systems},
  series = {AIP Conference Proceedings},
  volume    = {2033},
  booktitle = {AIP Conference Proceedings},
  number    = {1},
  doi       = {10.1063/1.5067030},
  pages     = {030014-1 -- 030014-8},
  year      = {2018},
  language  = {en}
}
@inproceedings{ThurnGebhardt2018,
  author    = {Thurn, Laura and Gebhardt, Andreas},
  title     = {Strategy of Education on Materials for Students},
  series = {Conference Proceedings: „New Perspectives in Science Education"},
  booktitle = {Conference Proceedings: „New Perspectives in Science Education"},
  address   = {Florence, Italy},
  isbn      = {978-88-6292-976-9},
  pages     = {156 -- 161},
  year      = {2018},
  language  = {en}
}
@inproceedings{KromeSander2018,
  author    = {Krome, Cornelia and Sander, Volker},
  title     = {Time series analysis with apache spark and its applications to energy informatics},
  series = {Proceedings of the 7th DACH+ Conference on Energy Informatics},
  booktitle = {Proceedings of the 7th DACH+ Conference on Energy Informatics},
  doi       = {10.1186/s42162-018-0043-1},
  year      = {2018},
  abstract  = {In energy economy forecasts of different time series are rudimentary. In this study, a prediction for the German day-ahead spot market is created with Apache Spark and R. It is just an example for many different applications in virtual power plant environments. Other examples of use as intraday price processes, load processes of machines or electric vehicles, real time energy loads of photovoltaic systems and many more time series need to be analysed and predicted. This work gives a short introduction into the project where this study is settled. It describes the time series methods that are used in energy industry for forecasts shortly. As programming technique Apache Spark, which is a strong cluster computing technology, is utilised. Today, single time series can be predicted. The focus of this work is on developing a method to parallel forecasting, to process multiple time series simultaneously with R and Apache Spark.},
  language  = {en}
}
@inproceedings{BlankeDringVonteinetal.2018,
  author    = {Blanke, Tobias and Dring, Bernd and Vontein, Marius and Kuhnhenne, Markus},
  title     = {Climate Change Mitigation Potentials of Vertical Building Integrated Photovoltaic},
  series = {8th International Workshop on Integration of Solar Power into Power Systems : 16-17 October 2018, Stockholm, Sweden},
  booktitle = {8th International Workshop on Integration of Solar Power into Power Systems : 16-17 October 2018, Stockholm, Sweden},
  pages     = {1 -- 7},
  year      = {2018},
  language  = {en}
}
@inproceedings{LeiseAltherr2018,
  author    = {Leise, Philipp and Altherr, Lena},
  title     = {Optimizing the design and control of decentralized water supply systems - a case-study of a hotel building},
  series = {EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization},
  booktitle = {EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-97773-7},
  doi       = {10.1007/978-3-319-97773-7_107},
  pages     = {1241 -- 1252},
  year      = {2018},
  abstract  = {To increase pressure to supply all floors of high buildings with water, booster stations, normally consisting of several parallel pumps in the basement, are used. In this work, we demonstrate the potential of a decentralized pump topology regarding energy savings in water supply systems of skyscrapers. We present an approach, based on Mixed-Integer Nonlinear Programming, that allows to choose an optimal network topology and optimal pumps from a predefined construction kit comprising different pump types. Using domain-specific scaling laws and Latin Hypercube Sampling, we generate different input sets of pump types and compare their impact on the efficiency and cost of the total system design. As a realistic application example, we consider a hotel building with 325 rooms, 12 floors and up to four pressure zones.},
  language  = {en}
}