@inproceedings{StopforthDavrajhFerrein2017,
  author    = {Stopforth, Riaan and Davrajh, Shaniel and Ferrein, Alexander},
  title     = {South African robotics entity for a collaboration initiative},
  series = {Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2016},
  booktitle = {Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2016},
  publisher = {IEEE},
  isbn      = {978-1-5090-3335-5},
  doi       = {10.1109/RoboMech.2016.7813144},
  pages     = {1 -- 6},
  year      = {2017},
  language  = {en}
}
@inproceedings{ShahidiPfaffEnning2017,
  author    = {Shahidi, Parham and Pfaff, Raphael and Enning, Manfred},
  title     = {The connected wagon - a concept for the integration of vehicle side sensors and actors with cyber physical representation for condition based maintenance},
  series = {First International Conference on Rail Transportation},
  booktitle = {First International Conference on Rail Transportation},
  pages     = {1 -- 8},
  year      = {2017},
  language  = {en}
}
@inproceedings{FingerBraunBil2017,
  author    = {Finger, Felix and Braun, Carsten and Bil, Cees},
  title     = {The Impact of Electric Propulsion on the Performance of VTOL UAVs},
  series = {Deutscher Luft- und Raumfahrtkongress 2017, DLRK , M{\"u}nchen},
  booktitle = {Deutscher Luft- und Raumfahrtkongress 2017, DLRK , M{\"u}nchen},
  year      = {2017},
  language  = {en}
}
@inproceedings{DowidatKoenigWolf2017,
  author    = {Dowidat, Linda and K{\"o}nig, Johannes Alexander and Wolf, Martin},
  title     = {The motivational competence developing game framework},
  series = {Mensch und Computer 2017 - Tagungsband},
  booktitle = {Mensch und Computer 2017 - Tagungsband},
  publisher = {Gesellschaft f{\"u}r Informatik e.V.},
  address   = {Regensburg},
  doi       = {10.18420/muc2017-mci-0130},
  pages     = {15 -- 26},
  year      = {2017},
  abstract  = {Competence Developing Games (CDGs) are a new concept of how to think about games with serious intentions. In order to emphasize on this topic, a new framework has been developed. It basically relies on learning and motivation theories. This 'motivational Competence Developing Game Framework' demonstrates how it is possible to use these theories in a CDG development process. The theoretical derivation and use of the framework is explained in this paper.},
  language  = {en}
}
@inproceedings{PfaffSchmidtEnning2017,
  author    = {Pfaff, Raphael and Schmidt, B. D. and Enning, Manfred},
  title     = {Towards inclusion of the freight rail system in the industrial internet of things - Wagon 4.0},
  series = {Stephenson Conference, London, March 2017},
  booktitle = {Stephenson Conference, London, March 2017},
  pages     = {1 -- 10},
  year      = {2017},
  language  = {en}
}
@inproceedings{GaldiHartungDugelay2017,
  author    = {Galdi, Chiara and Hartung, Frank and Dugelay, Jean-Luc},
  title     = {Videos versus still images: Asymmetric sensor pattern noise comparison on mobile phones},
  series = {Electronic Imaging},
  booktitle = {Electronic Imaging},
  publisher = {Society for Imaging Science and Technology},
  address   = {Springfield, Virginia},
  issn      = {2470-1173},
  doi       = {10.2352/ISSN.2470-1173.2017.7.MWSF-331},
  pages     = {100 -- 103},
  year      = {2017},
  abstract  = {Nowadays, the most employed devices for recoding videos or capturing images are undoubtedly the smartphones. Our work investigates the application of source camera identification on mobile phones. We present a dataset entirely collected by mobile phones. The dataset contains both still images and videos collected by 67 different smartphones. Part of the images consists in photos of uniform backgrounds, especially collected for the computation of the RSPN. Identifying the source camera given a video is particularly challenging due to the strong video compression. The experiments reported in this paper, show the large variation in performance when testing an highly accurate technique on still images and videos.},
  language  = {en}
}