@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{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}
}