@inproceedings{Dachwald2017,
  author    = {Dachwald, Bernd},
  title     = {Radiation pressure force model for an ideal laser-enhanced solar sail},
  series = {4th International Symposium on Solar Sailing},
  booktitle = {4th International Symposium on Solar Sailing},
  pages     = {1 -- 5},
  year      = {2017},
  abstract  = {The concept of a laser-enhanced solar sail is introduced and the radiation pressure force model for an ideal laser-enhanced solar sail is derived. A laser-enhanced solar sail is a "traditional" solar sail that is, however, not solely propelled by solar radiation, but additionally by a laser beam that illuminates the sail. The additional laser radiation pressure increases the sail's propulsive force and can give, depending on the location of the laser source, more control authority over the direction of the solar sail's propulsive force vector. This way, laser-enhanced solar sails may augment already existing solar sail mission concepts and make novel mission concepts feasible.},
  language  = {en}
}
@inproceedings{ButenwegMarinkovićKubalskietal.2017,
  author    = {Butenweg, Christoph and Marinković, Marko and Kubalski, Thomas and Fehling, Ekkehard and Pfetzing, Thomas and Meyer, Udo},
  title     = {Innovative Ans{\"a}tze f{\"u}r die seismische Auslegung von Stahlbetonrahmentragwerken mit Ausfachungen aus Ziegelmauerwerk},
  series = {Vortragsband der 15. D-A-CH-Tagung Erdbebeningenieurwesen und Baudynamik},
  booktitle = {Vortragsband der 15. D-A-CH-Tagung Erdbebeningenieurwesen und Baudynamik},
  editor    = {Zabel, Volkmar and Beinersdorf, Silke},
  publisher = {Deutsche Gesellschaft f{\"u}r Erdbebeningenieurwesen und Baudynamik (DGEB) e.V.},
  address   = {Weimar},
  isbn      = {978-3-930108-13-5},
  pages     = {130 -- 145},
  year      = {2017},
  language  = {de}
}
@inproceedings{RajanKubalskiAltayetal.2017,
  author    = {Rajan, Sreelakshmy and Kubalski, Thomas and Altay, Okyay and Dalguer, Luis A and Butenweg, Christoph},
  title     = {Multi-dimensional fragility analysis of a RC building with components using response surface method},
  series = {24th International Conference on Structural Mechanics in Reactor Technology, Busan, Korea, 20-25 August, 2017},
  booktitle = {24th International Conference on Structural Mechanics in Reactor Technology, Busan, Korea, 20-25 August, 2017},
  publisher = {International Assn for Structural Mechanics in Reactor Technology (IASMiRT)},
  address   = {Raleigh, USA},
  isbn      = {9781510856776},
  pages     = {3126 -- 3135},
  year      = {2017},
  abstract  = {Conventional fragility curves describe the vulnerability of the main structure under external hazards. However, in complex structures such as nuclear power plants, the safety or the risk depends also on the components associated with a system. The classical fault tree analysis gives an overall view of the failure and contains several subsystems to the main event, however, the interactions in the subsystems are not well represented. In order to represent the interaction of the components, a method suggested by Cimellaro et al. (2006) using multidimensional performance limit state functions to obtain the system fragility curves is adopted. This approach gives the possibility of deriving the cumulative fragility taking into account the interaction of the response of different components. In this paper, this approach is used to evaluate seismic risk of a representative electrical building infrastructure, including the component, of a nuclear power plant. A simplified model of the structure, with nonlinear material behavior is employed for the analysis in Abaqus©. The input variables considered are the material parameters, boundary conditions and the seismic input. The variability of the seismic input is obtained from selected ground motion time histories of spectrum compatible synthetic ccelerograms. Unlike the usual Monte Carlo methods used for the probabilistic analysis of the structure, a computationally effective response surface method is used. This method reduces the computational effort of the calculations by reducing the required number of samples.},
  language  = {en}
}
@inproceedings{BoesenRosinButenwegetal.2017,
  author    = {Boesen, Niklas and Rosin, Julia and Butenweg, Christoph and Deichsel, Anne and Klinkel, Sven},
  title     = {Untersuchung vorhandenerTragreserven moderner unbewehrter Mauerwerksbauten},
  series = {Vortragsband der 15. D-A-CH-Tagung Erdbebeningenieurwesen und Baudynamik},
  booktitle = {Vortragsband der 15. D-A-CH-Tagung Erdbebeningenieurwesen und Baudynamik},
  editor    = {Zabel, Volkmar and Beinersdorf, Silke},
  publisher = {Deutsche Gesellschaft f{\"u}r Erdbebeningenieurwesen und Baudynamik (DGEB) e.V.},
  address   = {Weimar},
  isbn      = {978-3-930108-13-5},
  pages     = {408 -- 418},
  year      = {2017},
  language  = {de}
}
@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}
}