@inproceedings{JeanPierrePBaqueBillietal.2018,
  author    = {Jean-Pierre P., de Vera and Baque, Mickael and Billi, Daniela and B{\"o}ttger, Ute and Bulat, Sergey and Czupalla, Markus and Dachwald, Bernd and de la Torre, Rosa and Elsaesser, Andreas and Foucher, Fr{\´e}d{\´e}ric and Korsitzky, Hartmut and Kozyrovska, Natalia and L{\"a}ufer, Andreas and Moeller, Ralf and Olsson-Francis, Karen and Onofri, Silvano and Sommer, Stefan and Wagner, Dirk and Westall, Frances},
  title     = {The search for life on Mars and in the Solar System - strategies, logistics and infrastructures},
  series = {69th International Astronautical Congress (IAC)},
  booktitle = {69th International Astronautical Congress (IAC)},
  pages     = {1 -- 8},
  year      = {2018},
  abstract  = {The question "Are we alone in the Universe?" is perhaps the most fundamental one that affects mankind. How can we address the search for life in our Solar System? Mars, Enceladus and Europa are the focus of the search for life outside the terrestrial biosphere. While it is more likely to find remnants of life (fossils of extinct life) on Mars because of its past short time window of the surface habitability, it is probably more likely to find traces of extant life on the icy moons and ocean worlds of Jupiter and Saturn. Nevertheless, even on Mars there could still be a chance to find extant life in niches near to the surface or in just discovered subglacial lakes beneath the South Pole ice cap. Here, the different approaches for the detection of traces of life in the form of biosignatures including pre-biotic molecules will be presented. We will outline the required infrastructure for this enterprise and give examples of future mission concepts to investigate the presence of life on other planets and moons. Finally, we will provide suggestions on methods, techniques, operations and strategies for preparation and realization of future life detection missions.},
  language  = {en}
}
@inproceedings{SchulzeMuehleisenFeyerl2018,
  author    = {Schulze, Sven and M{\"u}hleisen, M. and Feyerl, G{\"u}nter},
  title     = {Adaptive energy management strategy for a heavy-duty truck with a P2-hybrid topology},
  series = {18. Internationales Stuttgarter Symposium. Proceedings},
  booktitle = {18. Internationales Stuttgarter Symposium. Proceedings},
  publisher = {Springer Vieweg},
  address   = {Wiesbaden},
  doi       = {10.1007/978-3-658-21194-3},
  pages     = {75 -- 89},
  year      = {2018},
  language  = {en}
}
@inproceedings{SchollSuderSchiffer2018,
  author    = {Scholl, Ingrid and Suder, Sebastian and Schiffer, Stefan},
  title     = {Direct Volume Rendering in Virtual Reality},
  series = {Bildverarbeitung f{\"u}r die Medizin 2018},
  booktitle = {Bildverarbeitung f{\"u}r die Medizin 2018},
  publisher = {Springer Vieweg},
  address   = {Berlin},
  isbn      = {978-3-662-56537-7},
  doi       = {10.1007/978-3-662-56537-7_79},
  pages     = {297 -- 302},
  year      = {2018},
  language  = {en}
}
@inproceedings{SchreiberKraftZuendorf2018,
  author    = {Schreiber, Marc and Kraft, Bodo and Z{\"u}ndorf, Albert},
  title     = {NLP Lean Programming Framework: Developing NLP Applications More Effectively},
  series = {Proceedings of NAACL-HLT 2018: Demonstrations, New Orleans, Louisiana, June 2 - 4, 2018},
  booktitle = {Proceedings of NAACL-HLT 2018: Demonstrations, New Orleans, Louisiana, June 2 - 4, 2018},
  doi       = {10.18653/v1/N18-5001 },
  pages     = {5 Seiten},
  year      = {2018},
  abstract  = {This paper presents NLP Lean Programming framework (NLPf), a new framework for creating custom natural language processing (NLP) models and pipelines by utilizing common software development build systems. This approach allows developers to train and integrate domain-specific NLP pipelines into their applications seamlessly. Additionally, NLPf provides an annotation tool which improves the annotation process significantly by providing a well-designed GUI and sophisticated way of using input devices. Due to NLPf's properties developers and domain experts are able to build domain-specific NLP applications more efficiently. NLPf is Opensource software and available at https:// gitlab.com/schrieveslaach/NLPf.},
  language  = {en}
}
@inproceedings{BindzusBragard2018,
  author    = {Bindzus, Manuel and Bragard, Michael},
  title     = {Motivating Intuitive Understanding of the Switched Reluctance Machine in the Education of Undergraduate Students},
  series = {2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)},
  booktitle = {2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)},
  isbn      = {978-1-5386-6903-7},
  doi       = {10.1109/RTUCON.2018.8659870},
  pages     = {1 -- 6},
  year      = {2018},
  language  = {en}
}
@inproceedings{BragardHoekHoegenetal.2018,
  author    = {Bragard, Michael and Hoek, Hauke van and Hoegen, Anne von and Doncker, Rik W. De},
  title     = {Motivation-based Learning: Teaching Fundamentals of Electrical Engineering with an LED Spinning Top},
  series = {2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)},
  booktitle = {2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)},
  isbn      = {978-1-5386-6903-7},
  doi       = {10.1109/RTUCON.2018.8659810},
  pages     = {1 -- 6},
  year      = {2018},
  language  = {en}
}
@inproceedings{RuettersWeinheimerBragard2018,
  author    = {R{\"u}tters, Ren{\´e} and Weinheimer, Marius and Bragard, Michael},
  title     = {Teaching Control Theory with a Simplified Helicopter Model and a Classroom Fitting Hardware Test-Bench},
  series = {2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)},
  booktitle = {2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)},
  isbn      = {978-1-5386-6903-7},
  doi       = {10.1109/RTUCON.2018.8659871},
  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{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}
}