@article{FiedlerLaddBitz2017,
  author    = {Fiedler, Thomas M. and Ladd, Mark E. and Bitz, Andreas},
  title     = {RF safety assessment of a bilateral four-channel transmit/receive 7 Tesla breast coil: SAR versus temperature limits},
  series = {Medical Physics},
  volume    = {44},
  journal   = {Medical Physics},
  number    = {1},
  doi       = {10.1002/mp.12034},
  pages     = {143 -- 157},
  year      = {2017},
  language  = {en}
}
@article{FiedlerLaddBitz2017,
  author    = {Fiedler, Thomas M. and Ladd, Mark E. and Bitz, Andreas},
  title     = {SAR Simulations \& Safety},
  series = {NeuroImage},
  journal   = {NeuroImage},
  number    = {Epub ahead of print},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1053-8119},
  doi       = {10.1016/j.neuroimage.2017.03.035},
  year      = {2017},
  language  = {en}
}
@inproceedings{SchwankeHoefkenSchuba2017,
  author    = {Schwanke, Peter and H{\"o}fken, Hans-Wilhelm and Schuba, Marko},
  title     = {Security Analysis of the ADS Protocol of a Beckhoff CX2020 PLC},
  pages     = {1 -- 5},
  year      = {2017},
  abstract  = {ICSs (Industrial Control Systems) and its subset SCADA systems (Supervisory Control and Data Acquisition) are getting exposed to a constant stream of new threats. The increasing importance of IT security in ICS requires viable methods to assess the security of ICS, its individual components, and its protocols. This paper presents a security analysis with focus on the communication protocols of a single PLC (Programmable Logic Controller). The PLC, a Beckhoff CX2020, is examined and new vulnerabilities of the system are revealed. Based on these findings recommendations are made to improve security of the Beckhoff system and its protocols.},
  language  = {en}
}
@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{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{SchnejiderWisselinkCzarnecki2017,
  author    = {Schnejider, Dominik and Wisselink, Frank and Czarnecki, Christian},
  title     = {Transformation von Wertsch{\"o}pfungsketten durch das Internet der Dinge - Bewertungsrahmen und Fallstudie},
  series = {GI Edition Proceedings Band 275 INFORMATIK 2017},
  booktitle = {GI Edition Proceedings Band 275 INFORMATIK 2017},
  editor    = {Eibl, Maximilian and Gaedke, Martin and Gesellschaft f{\"u}r Informatik e. V. (GI),},
  publisher = {K{\"o}llen},
  address   = {Bonn},
  isbn      = {978-3-88579-669-5},
  issn      = {1617-5468},
  doi       = {10.18420/in2017_208},
  pages     = {2081 -- 2094},
  year      = {2017},
  abstract  = {Momentan finden in vielen Branchen umfassende Ver{\"a}nderungen von M{\"a}rkten und Wertsch{\"o}pfungsketten statt, welche auch als Digitale Transformation bezeichnet werden. In diesem Zusammenhang wird das Internet der Dinge (Internet of Things, IoT) als ein wichtiger technischer Enabler der Ver{\"a}nderungen angesehen. Prim{\"a}re Ziele des IoT sind die Steuerung physischer Gegen-st{\"a}nde aus der Distanz und das Erfassen von Informationen aus dem Umfeld dieser Gegenst{\"a}nde. Welche neuen Gesch{\"a}fts-bzw. Partnermodelle entstehen durch die gemeinsame Nutzung von IoT-Daten und Big-Data-Technologien und welcher qualitative Mehrwert wird dadurch geschaffen? Als Antwort wird in diesem Beitrag ein Bewertungsrahmen zur qualitativen Wertsch{\"o}pfungsanalyse von IoT vorgeschlagen. Anhand dieses Bewertungsrahmens wird ein Anwendungsfall untersucht, der in anonymisierter Form an konkrete Praxisprojekte angelehnt ist. Konkret wird ein Anwendungsfall betrachtet, der eine Abfallwirtschaft 2.0 basierend auf dem Einsatz von IoT vorschl{\"a}gt. Aus den Untersuchungsergebnissen gehen beispielsweise Erkenntnisse hervor, wie Gesch{\"a}ftsmodelle auf Basis eines unentgeltlichen Informationsaustauschs durch IoT gestaltet werden k{\"o}nnen.},
  language  = {de}
}
@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}
}