@article{NeuJanserKhatibietal.2016,
  author    = {Neu, Eugen and Janser, Frank and Khatibi, Akbar A. and Orifici, Adrian C.},
  title     = {Automated modal parameter-based anomaly detection under varying wind excitation},
  series = {Structural Health Monitoring},
  volume    = {15},
  journal   = {Structural Health Monitoring},
  number    = {6},
  publisher = {Sage},
  address   = {London},
  issn      = {1475-9217},
  doi       = {10.1177/1475921716665803},
  pages     = {1 -- 20},
  year      = {2016},
  abstract  = {Wind-induced operational variability is one of the major challenges for structural health monitoring of slender engineering structures like aircraft wings or wind turbine blades. Damage sensitive features often show an even bigger sensitivity to operational variability. In this study a composite cantilever was subjected to multiple mass configurations, velocities and angles of attack in a controlled wind tunnel environment. A small-scale impact damage was introduced to the specimen and the structural response measurements were repeated. The proposed damage detection methodology is based on automated operational modal analysis. A novel baseline preparation procedure is described that reduces the amount of user interaction to the provision of a single consistency threshold. The procedure starts with an indeterminate number of operational modal analysis identifications from a large number of datasets and returns a complete baseline matrix of natural frequencies and damping ratios that is suitable for subsequent anomaly detection. Mahalanobis distance-based anomaly detection is then applied to successfully detect the damage under varying severities of operational variability and with various degrees of knowledge about the present operational conditions. The damage detection capabilities of the proposed methodology were found to be excellent under varying velocities and angles of attack. Damage detection was less successful under joint mass and wind variability but could be significantly improved through the provision of the currently encountered operational conditions.},
  language  = {en}
}
@book{GuempelBlumhoferDoerenetal.2016,
  author    = {G{\"u}mpel, Paul and Blumhofer, Gunter and D{\"o}ren, Horst-Peter and Gebel, Wolfgang and Heimann, Winfried and Morach, Rudolf and Schmitz, Karl W.},
  title     = {Rostfreie St{\"a}hle : Grundwissen, Konstruktions- und Verarbeitungshinweise},
  edition   = {5., durchgesehene Aufl.},
  publisher = {Expertverlag},
  address   = {Renningen},
  isbn      = {978-3-8169-3148-5},
  pages     = {248 S.},
  year      = {2016},
  language  = {de}
}
@inproceedings{DroszezSannoGoldmannetal.2016,
  author    = {Droszez, Anna and Sanno, Maximilian and Goldmann, Jan-Peter and Albracht, Kirsten and Br{\"u}ggemann, Gerd-Peter and Braunstein, Bjoern},
  title     = {Differences between take-off behavior during vertical jumps and two artistic elements},
  series = {34th International Conference of Biomechanics in Sport, Tsukuba, Japan, July 18-22, 2016},
  booktitle = {34th International Conference of Biomechanics in Sport, Tsukuba, Japan, July 18-22, 2016},
  issn      = {1999-4168},
  pages     = {577 -- 580},
  year      = {2016},
  language  = {en}
}
@book{BleningerBrendaBungetal.2016,
  author    = {Bleninger, T. and Brenda, M. and Bung, Daniel Bernhard and Hengl, M. and Schmid, B.H. and Schneider, E. and Sonnenburg, A. and Stoschek, O.},
  title     = {DWA-Regelwerk M 544-1 : Merkblatt: Ausbreitungsprobleme von Einleitungen - Prozesse, Methoden und Modelle - Teil 1: Anwendungsgrundlagen, Sch{\"a}tzformeln und eindimensionale Modelle},
  address   = {Hennef},
  organization    = {DWA, Deutsche Vereinigung f{\"u}r Wasserwirtschaft, Abwasser und Abfall e.V.},
  isbn      = {978-3-88721-280-3},
  pages     = {59 Seiten},
  year      = {2016},
  language  = {de}
}
@book{BleningerBrendaBungetal.2016,
  author    = {Bleninger, T. and Brenda, M. and Bung, Daniel Bernhard and Hengl, M. and Schmid, B.H. and Schneider, E. and Sonnenburg, A. and Stoschek, O.},
  title     = {DWA-Regelwerk M 544-2 : Merkblatt: Ausbreitungsprobleme von Einleitungen - Prozesse, Methoden und Modelle - Teil 2: Mehrdimensionale Modelle},
  address   = {Hennef},
  organization    = {DWA, Deutsche Vereinigung f{\"u}r Wasserwirtschaft, Abwasser und Abfall e.V.},
  isbn      = {978-3-88721-281-0},
  pages     = {91 Seiten},
  year      = {2016},
  language  = {de}
}
@techreport{DammAnthrakidisFend2016,
  author    = {Damm, Marc Andr{\´e} and Anthrakidis, Anette and Fend, Thomas},
  title     = {Keramische Porenk{\"o}rpersysteme als SCR-Mischer und Hydrolysekatalysator : BMBF-Projekt: Hydromix : Schlussbericht : Laufzeit: 01.10.2011 bis 31.03.2015},
  address   = {Aachen},
  pages     = {30 Seiten : Illustrationen, Diagramme},
  year      = {2016},
  language  = {de}
}
@article{KolditzAlbinBrueggemannetal.2016,
  author    = {Kolditz, Melanie and Albin, Thivaharan and Br{\"u}ggemann, Gert-Peter and Abel, Dirk and Albracht, Kirsten},
  title     = {Robotergest{\"u}tztes System f{\"u}r ein verbessertes neuromuskul{\"a}res Aufbautraining der Beinstrecker},
  series = {at - Automatisierungstechnik},
  volume    = {64},
  journal   = {at - Automatisierungstechnik},
  number    = {11},
  publisher = {De Gruyter},
  address   = {Berlin},
  issn      = {2196-677X},
  doi       = {10.1515/auto-2016-0044},
  pages     = {905 -- 914},
  year      = {2016},
  abstract  = {Neuromuskul{\"a}res Aufbautraining der Beinstrecker ist ein wichtiger Bestandteil in der Rehabilitation und Pr{\"a}vention von Muskel-Skelett-Erkrankungen. Effektives Training erfordert hohe Muskelkr{\"a}fte, die gleichzeitig hohe Belastungen von bereits gesch{\"a}digten Strukturen bedeuten. Um trainingsinduzierte Sch{\"a}digungen zu vermeiden, m{\"u}ssen diese Kr{\"a}fte kontrolliert werden. Mit heutigen Trainingsger{\"a}ten k{\"o}nnen diese Ziele allerdings nicht erreicht werden. F{\"u}r ein sicheres und effektives Training sollen durch den Einsatz der Robotik, Sensorik, eines Regelkreises sowie Muskel-Skelett-Modellen Belastungen am Zielgewebe direkt berechnet und kontrolliert werden. Auf Basis zweier Vorstudien zu m{\"o}glichen Stellgr{\"o}ßen wird der Aufbau eines robotischen Systems vorgestellt, das sowohl f{\"u}r Forschungszwecke als auch zur Entwicklung neuartiger Trainingsger{\"a}te verwendet werden kann.},
  language  = {de}
}
@incollection{Bialonski2016,
  author    = {Bialonski, Stephan},
  title     = {Are interaction clusters in epileptic networks predictive of seizures?},
  series = {Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics},
  booktitle = {Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics},
  publisher = {CRC Press},
  isbn      = {978-143983886-0},
  pages     = {349 -- 355},
  year      = {2016},
  language  = {en}
}
@article{NgamgaBialonskiMarwanetal.2016,
  author    = {Ngamga, Eulalie Joelle and Bialonski, Stephan and Marwan, Norbert and Kurths, J{\"u}rgen and Geier, Christian and Lehnertz, Klaus},
  title     = {Evaluation of selected recurrence measures in discriminating pre-ictal and inter-ictal periods from epileptic EEG data},
  series = {Physics Letters A},
  volume    = {380},
  journal   = {Physics Letters A},
  number    = {16},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0375-9601},
  doi       = {10.1016/j.physleta.2016.02.024},
  pages     = {1419 -- 1425},
  year      = {2016},
  abstract  = {We investigate the suitability of selected measures of complexity based on recurrence quantification analysis and recurrence networks for an identification of pre-seizure states in multi-day, multi-channel, invasive electroencephalographic recordings from five epilepsy patients. We employ several statistical techniques to avoid spurious findings due to various influencing factors and due to multiple comparisons and observe precursory structures in three patients. Our findings indicate a high congruence among measures in identifying seizure precursors and emphasize the current notion of seizure generation in large-scale epileptic networks. A final judgment of the suitability for field studies, however, requires evaluation on a larger database.},
  language  = {en}
}
@article{BialonskiCaronSchloenetal.2016,
  author    = {Bialonski, Stephan and Caron, David A. and Schloen, Julia and Feudel, Ulrike and Kantz, Holger and Moorthi, Stefanie D.},
  title     = {Phytoplankton dynamics in the Southern California Bight indicate a complex mixture of transport and biology},
  series = {Journal of Plankton Research},
  volume    = {38},
  journal   = {Journal of Plankton Research},
  number    = {4},
  publisher = {Oxford University Press},
  address   = {Oxford},
  issn      = {1464-3774},
  doi       = {10.1093/plankt/fbv122},
  pages     = {1077 -- 1091},
  year      = {2016},
  abstract  = {The stimulation and dominance of potentially harmful phytoplankton taxa at a given locale and time are determined by local environmental conditions as well as by transport to or from neighboring regions. The present study investigated the occurrence of common harmful algal bloom (HAB) taxa within the Southern California Bight, using cross-correlation functions to determine potential dependencies between HAB taxa and environmental factors, and potential links to algal transport via local hydrography and currents. A simulation study, in which Lagrangian particles were released, was used to assess travel times due to advection by prevailing ocean currents in the bight. Our results indicate that transport of some taxa may be an important mechanism for the expansion of their distributions into other regions, which was supported by mean travel times derived from our simulation study and other literature on ocean currents in the Southern California Bight. In other cases, however, phytoplankton dynamics were rather linked to local environmental conditions, including coastal upwelling events. Overall, our study shows that complex current patterns in the Southern California Bight may contribute significantly to the formation and expansion of HABs in addition to local environmental factors determining the spatiotemporal dynamics of phytoplankton blooms.},
  language  = {en}
}