@techreport{AlbrachtRitzmannKrameretal.2017,
  author    = {Albracht, Kirsten and Ritzmann, Ramona and Kramer, Andreas and Meskemper, Joshua and St{\"a}udle, Benjamin and K{\"u}mmel, Jacob and Freyler, Katrin and Felsenberg, Dieter and Gruber, Marksu and Gollhofer, Albert and Belavy, Daniel},
  title     = {Vorhaben: Muskelkraftgenerierungsf{\"a}higkeit in Mikrogravitation},
  publisher = {Deutsche Sporthochschule K{\"o}ln},
  address   = {Kl{\"o}n},
  doi       = {10.2314/KXP:1670327353},
  pages     = {23 Seiten},
  year      = {2017},
  language  = {de}
}
@article{GiresiniSassuButenwegetal.2017,
  author    = {Giresini, Linda and Sassu, Mauro and Butenweg, Christoph and Alecci, Valerio and De Stefano, Mario},
  title     = {Vault macro-element with equivalent trusses in global seismic analyses},
  series = {Earthquakes and Structures},
  volume    = {12},
  journal   = {Earthquakes and Structures},
  number    = {4},
  publisher = {Techno-Press},
  address   = {Taejŏn},
  issn      = {2092-7614 (Print)},
  doi       = {10.12989/eas.2017.12.4.409},
  pages     = {409 -- 423},
  year      = {2017},
  abstract  = {This paper proposes a quick and simplified method to describe masonry vaults in global seismic analyses of buildings. An equivalent macro-element constituted by a set of six trusses, two for each transverse, longitudinal and diagonal direction, is introduced. The equivalent trusses, whose stiffness is calculated by fully modeled vaults of different geometry, mechanical properties and boundary conditions, simulate the vault in both global analysis and local analysis, such as kinematic or rocking approaches. A parametric study was carried out to investigate the influence of geometrical characteristics and mechanical features on the equivalent stiffness values. The method was numerically validated by performing modal and transient analysis on a three naves-church in the elastic range. Vibration modes and displacement time-histories were compared showing satisfying agreement between the complete and the simplified models. This procedure is particularly useful in engineering practice because it allows to assess, in a simplified way, the effectiveness of strengthening interventions for reducing horizontal relative displacements between vault supports.},
  language  = {en}
}
@inproceedings{KreyerEsch2017,
  author    = {Kreyer, J{\"o}rg and Esch, Thomas},
  title     = {Simulation Tool for Predictive Control Strategies for an ORCSystem in Heavy Duty Vehicles},
  series = {European GT Conference 2017},
  booktitle = {European GT Conference 2017},
  pages     = {16 Seiten},
  year      = {2017},
  abstract  = {Scientific questions - How can a non-stationary heat offering in the commercial vehicle be used to reduce fuel consumption? - Which potentials offer route and environmental information among with predicted speed and load trajectories to increase the efficiency of a ORC-System? Methods - Desktop bound holistic simulation model for a heavy duty truck incl. an ORC System - Prediction of massflows, temperatures and mixture quality (AFR) of exhaust gas},
  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}
}