@inproceedings{37006,
  abstract     = {{In this paper we present an approach for the configuration and reconfiguration of FlexRay networks to increase their fault tolerance. To guarantee a correct and deterministic system behavior, the FlexRay specification does not allow a reconfiguration of the schedapproachule during run time. To avoid the necessity of a complete bus restart in case of a node failure, we propose a reconfiguration using redundant slots in the schedule and/or combine messages in existing frames and slots, to compensate node failures and increase robustness. Our approach supports the developer to increase the fault tolerance of the system during the design phase. It is a heuristic, which, additionally to a determined initial configuration, calculates possible reconfigurations for the remaining nodes of the FlexRay network in case of a node failure, to keep the system working properly. An evaluation by means of realistic safety-critical automotive real-time systems revealed that it determines valid reconfigurations for up to 80% of possible individual node failures. In summary, our approach offers major support for the developer of FlexRay networks since the results provide helpful feedback about reconfiguration capabilities. In an iterative design process these information can be used to determine and optimize valid reconfigurations.}},
  author       = {{Klobedanz, Kay and König, Andreas and Müller, Wolfgang}},
  booktitle    = {{Proceedings of DATE'11}},
  keywords     = {{Schedules, Fault tolerant systems, Redundancy, Protocols, Automotive engineering, Genetic algorithms}},
  location     = {{Grenoble, France}},
  publisher    = {{IEEE}},
  title        = {{{A Reconfiguration Approach for Faul-Tolerant FlexRay Networks}}},
  doi          = {{10.1109/DATE.2011.5763022}},
  year         = {{2011}},
}

@article{64055,
  abstract     = {{A program for iterative fitting procedures to determine the NMR parameters from 51V solid-state MAS NMR spectra was developed. It contains options to use genetic algorithms and downhill-simplex optimizing procedures to extract the optimal parameter sets, which describe our spectra. As computational kernel the SIMPSON program is employed. Other kernels like SPINEVOLUTION are easily incorporable. The algorithms are checked for their suitability for the present optimization problem and optimal simulation conditions are determined, with the focus on minimal processing time. The procedure leads to a very good agreement between experimental and simulated spectra in a passable period of time. First results for spectra of model compounds for the active site of vanadium haloperoxidases are presented.}},
  author       = {{Waechtler, Maria and Schweitzer, Annika and Gutmann, Torsten and Breitzke, Hergen and Buntkowsky, Gerd}},
  journal      = {{Solid State Nuclear Magnetic Resonance}},
  keywords     = {{51V MAS NMR spectroscopy, Genetic algorithms, Iterative fitting procedures, Model complexes for vanadium haloperoxidases}},
  number       = {{1}},
  pages        = {{37–48}},
  title        = {{{Efficient analysis of 51V solid-state MAS NMR spectra using genetic algorithms}}},
  doi          = {{10.1016/j.ssnmr.2008.11.003}},
  volume       = {{35}},
  year         = {{2009}},
}