[{"_id":"37006","publisher":"IEEE","language":[{"iso":"eng"}],"doi":"10.1109/DATE.2011.5763022","user_id":"5786","conference":{"location":"Grenoble, France","name":"2011 Design, Automation & Test in Europe"},"author":[{"first_name":"Kay","last_name":"Klobedanz","full_name":"Klobedanz, Kay"},{"last_name":"König","first_name":"Andreas","full_name":"König, Andreas"},{"id":"16243","last_name":"Müller","first_name":"Wolfgang","full_name":"Müller, Wolfgang"}],"status":"public","year":"2011","title":"A Reconfiguration Approach for Faul-Tolerant FlexRay Networks","date_updated":"2023-01-17T09:09:33Z","place":"Grenoble, France","date_created":"2023-01-17T09:09:25Z","department":[{"_id":"672"}],"keyword":["Schedules","Fault tolerant systems","Redundancy","Protocols","Automotive engineering","Genetic algorithms"],"type":"conference","citation":{"mla":"Klobedanz, Kay, et al. “A Reconfiguration Approach for Faul-Tolerant FlexRay Networks.” <i>Proceedings of DATE’11</i>, IEEE, 2011, doi:<a href=\"https://doi.org/10.1109/DATE.2011.5763022\">10.1109/DATE.2011.5763022</a>.","bibtex":"@inproceedings{Klobedanz_König_Müller_2011, place={Grenoble, France}, title={A Reconfiguration Approach for Faul-Tolerant FlexRay Networks}, DOI={<a href=\"https://doi.org/10.1109/DATE.2011.5763022\">10.1109/DATE.2011.5763022</a>}, booktitle={Proceedings of DATE’11}, publisher={IEEE}, author={Klobedanz, Kay and König, Andreas and Müller, Wolfgang}, year={2011} }","ama":"Klobedanz K, König A, Müller W. A Reconfiguration Approach for Faul-Tolerant FlexRay Networks. In: <i>Proceedings of DATE’11</i>. IEEE; 2011. doi:<a href=\"https://doi.org/10.1109/DATE.2011.5763022\">10.1109/DATE.2011.5763022</a>","ieee":"K. Klobedanz, A. König, and W. Müller, “A Reconfiguration Approach for Faul-Tolerant FlexRay Networks,” presented at the 2011 Design, Automation &#38; Test in Europe, Grenoble, France, 2011, doi: <a href=\"https://doi.org/10.1109/DATE.2011.5763022\">10.1109/DATE.2011.5763022</a>.","apa":"Klobedanz, K., König, A., &#38; Müller, W. (2011). A Reconfiguration Approach for Faul-Tolerant FlexRay Networks. <i>Proceedings of DATE’11</i>. 2011 Design, Automation &#38; Test in Europe, Grenoble, France. <a href=\"https://doi.org/10.1109/DATE.2011.5763022\">https://doi.org/10.1109/DATE.2011.5763022</a>","short":"K. Klobedanz, A. König, W. Müller, in: Proceedings of DATE’11, IEEE, Grenoble, France, 2011.","chicago":"Klobedanz, Kay, Andreas König, and Wolfgang Müller. “A Reconfiguration Approach for Faul-Tolerant FlexRay Networks.” In <i>Proceedings of DATE’11</i>. Grenoble, France: IEEE, 2011. <a href=\"https://doi.org/10.1109/DATE.2011.5763022\">https://doi.org/10.1109/DATE.2011.5763022</a>."},"publication":"Proceedings of DATE'11","abstract":[{"text":"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.","lang":"eng"}]},{"keyword":["51V MAS NMR spectroscopy","Genetic algorithms","Iterative fitting procedures","Model complexes for vanadium haloperoxidases"],"type":"journal_article","date_created":"2026-02-07T16:15:57Z","abstract":[{"text":"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.","lang":"eng"}],"extern":"1","issue":"1","publication":"Solid State Nuclear Magnetic Resonance","citation":{"ama":"Waechtler M, Schweitzer A, Gutmann T, Breitzke H, Buntkowsky G. Efficient analysis of 51V solid-state MAS NMR spectra using genetic algorithms. <i>Solid State Nuclear Magnetic Resonance</i>. 2009;35(1):37–48. doi:<a href=\"https://doi.org/10.1016/j.ssnmr.2008.11.003\">10.1016/j.ssnmr.2008.11.003</a>","bibtex":"@article{Waechtler_Schweitzer_Gutmann_Breitzke_Buntkowsky_2009, title={Efficient analysis of 51V solid-state MAS NMR spectra using genetic algorithms}, volume={35}, DOI={<a href=\"https://doi.org/10.1016/j.ssnmr.2008.11.003\">10.1016/j.ssnmr.2008.11.003</a>}, number={1}, journal={Solid State Nuclear Magnetic Resonance}, author={Waechtler, Maria and Schweitzer, Annika and Gutmann, Torsten and Breitzke, Hergen and Buntkowsky, Gerd}, year={2009}, pages={37–48} }","mla":"Waechtler, Maria, et al. “Efficient Analysis of 51V Solid-State MAS NMR Spectra Using Genetic Algorithms.” <i>Solid State Nuclear Magnetic Resonance</i>, vol. 35, no. 1, 2009, pp. 37–48, doi:<a href=\"https://doi.org/10.1016/j.ssnmr.2008.11.003\">10.1016/j.ssnmr.2008.11.003</a>.","short":"M. Waechtler, A. Schweitzer, T. Gutmann, H. Breitzke, G. Buntkowsky, Solid State Nuclear Magnetic Resonance 35 (2009) 37–48.","chicago":"Waechtler, Maria, Annika Schweitzer, Torsten Gutmann, Hergen Breitzke, and Gerd Buntkowsky. “Efficient Analysis of 51V Solid-State MAS NMR Spectra Using Genetic Algorithms.” <i>Solid State Nuclear Magnetic Resonance</i> 35, no. 1 (2009): 37–48. <a href=\"https://doi.org/10.1016/j.ssnmr.2008.11.003\">https://doi.org/10.1016/j.ssnmr.2008.11.003</a>.","apa":"Waechtler, M., Schweitzer, A., Gutmann, T., Breitzke, H., &#38; Buntkowsky, G. (2009). Efficient analysis of 51V solid-state MAS NMR spectra using genetic algorithms. <i>Solid State Nuclear Magnetic Resonance</i>, <i>35</i>(1), 37–48. <a href=\"https://doi.org/10.1016/j.ssnmr.2008.11.003\">https://doi.org/10.1016/j.ssnmr.2008.11.003</a>","ieee":"M. Waechtler, A. Schweitzer, T. Gutmann, H. Breitzke, and G. Buntkowsky, “Efficient analysis of 51V solid-state MAS NMR spectra using genetic algorithms,” <i>Solid State Nuclear Magnetic Resonance</i>, vol. 35, no. 1, pp. 37–48, 2009, doi: <a href=\"https://doi.org/10.1016/j.ssnmr.2008.11.003\">10.1016/j.ssnmr.2008.11.003</a>."},"doi":"10.1016/j.ssnmr.2008.11.003","user_id":"100715","volume":35,"page":"37–48","language":[{"iso":"eng"}],"_id":"64055","date_updated":"2026-02-17T16:12:50Z","intvolume":"        35","year":"2009","status":"public","title":"Efficient analysis of 51V solid-state MAS NMR spectra using genetic algorithms","author":[{"full_name":"Waechtler, Maria","first_name":"Maria","last_name":"Waechtler"},{"full_name":"Schweitzer, Annika","last_name":"Schweitzer","first_name":"Annika"},{"id":"118165","full_name":"Gutmann, Torsten","first_name":"Torsten","last_name":"Gutmann"},{"first_name":"Hergen","last_name":"Breitzke","full_name":"Breitzke, Hergen"},{"full_name":"Buntkowsky, Gerd","last_name":"Buntkowsky","first_name":"Gerd"}]}]
