@inproceedings{Butenweg2007,
  author    = {Butenweg, Christoph},
  title     = {Nachweis der Erdbebensicherheit von Silos aus Stahl unter Erdbebenbelastung},
  series = {D-A-CH Tagung 2007 : Aktuelle Themen des Erdbebeningenieurwesens und der Baudynamik ; 27. und 28. September 2007, arsenal research, TECHbase Vienna},
  booktitle = {D-A-CH Tagung 2007 : Aktuelle Themen des Erdbebeningenieurwesens und der Baudynamik ; 27. und 28. September 2007, arsenal research, TECHbase Vienna},
  organization    = {D-A-CH Tagung <2007, Wien>},
  pages     = {1 -- 14},
  year      = {2007},
  language  = {de}
}
@inproceedings{Wessling2007,
  author    = {Weßling, Matthias},
  title     = {Motivation and Leadership - The Reiss-Profile of the 16 Basic Desires: Research results and managerial applications},
  year      = {2007},
  abstract  = {Recent Results of the scientific Reiss-Profile (16 basic desires) due to the concept of Prof. Dr. Steven Reiss (State University Ohio, U.S.A.), supplemented by the comparative analysis of empirical motivational profiles of european executives of various companies.},
  subject      = {Motivation},
  language  = {en}
}
@inproceedings{KirschBlioumiFellinetal.2007,
  author    = {Kirsch, Ansgar and Blioumi, A. and Fellin, Wolfgang and Kolymbas, Dimitrios},
  title     = {Modelling anisotropic squeezing as a process in time},
  series = {ECCOMAS Thematic Conference on Computational Methods in Tunneling ; August 27 - 29, 2007, Vienna, Austria : EURO:TUN 2007 : proceedings},
  booktitle = {ECCOMAS Thematic Conference on Computational Methods in Tunneling ; August 27 - 29, 2007, Vienna, Austria : EURO:TUN 2007 : proceedings},
  address   = {Wien},
  organization    = {Thematic Conference on Computational Methods in Tunneling <2007, Wien>},
  isbn      = {3-9501554-7-3 ; 978-3-9501554-7-1},
  pages     = {1 CD-ROM},
  year      = {2007},
  language  = {en}
}
@inproceedings{KirschKolymbasFellin2007,
  author    = {Kirsch, Ansgar and Kolymbas, Dimitrios and Fellin, Wolfgang},
  title     = {Modellierung von druckhaftem anisotropem Fels},
  series = {6. {\"O}sterreichische Geotechniktagung : mit "Vienna - Terzaghi Lecture" ; Tagungsbeitr{\"a}ge 18. und 19. J{\"a}nner 2007 / {\"O}sterreichischer Ingenieur- und Architekten-Verein},
  booktitle = {6. {\"O}sterreichische Geotechniktagung : mit "Vienna - Terzaghi Lecture" ; Tagungsbeitr{\"a}ge 18. und 19. J{\"a}nner 2007 / {\"O}sterreichischer Ingenieur- und Architekten-Verein},
  address   = {Wien},
  organization    = {{\"O}sterreichische Geotechniktagung <6, 2007, Wien>},
  isbn      = {978-3-902450-58-6},
  pages     = {487 -- 498},
  year      = {2007},
  language  = {de}
}
@inproceedings{PfaffPichlerGeorgeetal.2007,
  author    = {Pfaff, Raphael and Pichler, Alexander and George, Alfred and Seiler, Friedrich},
  title     = {Model based image processing for flow visualisation : 16th International Conference on Systems Science, Wroclaw, Poland, September 04 - 06, 2007},
  series = {PU / Institut Franco-Allemand de Recherches de Saint-Louis ; 2007, 620},
  booktitle = {PU / Institut Franco-Allemand de Recherches de Saint-Louis ; 2007, 620},
  publisher = {ISL},
  address   = {Saint Louis, France},
  organization    = {International Conference on Systems Science <16, 2007, Wroclaw>},
  pages     = {1 -- 10},
  year      = {2007},
  language  = {en}
}
@inproceedings{Wollert2007,
  author    = {Wollert, J{\"o}rg},
  title     = {Mobility - Integration von Offboard-Devices in Fahrzeugen},
  series = {Begleittexte zum Entwicklerforum Kfz-Elektronik \& FlexRay Solution Day : 15. Mai 2007, Ludwigsburg / hrsg. von Caspar Grote ...},
  booktitle = {Begleittexte zum Entwicklerforum Kfz-Elektronik \& FlexRay Solution Day : 15. Mai 2007, Ludwigsburg / hrsg. von Caspar Grote ...},
  publisher = {Design \& Elektronik},
  address   = {Poing},
  pages     = {47 -- 54},
  year      = {2007},
  language  = {de}
}
@inproceedings{BudaJozenfiniWollert2007,
  author    = {Buda, Aurel and Jozenfini, B. and Wollert, J{\"o}rg},
  title     = {Mobile ad-hoc Network for home automation based on ZigBee application framework},
  series = {1st European ZigBee Developer's Conference : June 18 - 20, 2007, Munich, Germany},
  booktitle = {1st European ZigBee Developer's Conference : June 18 - 20, 2007, Munich, Germany},
  publisher = {Design \& Elektronik},
  address   = {Poing},
  organization    = {European ZigBee Developer's Conference <1, 2007, M{\"u}nchen>},
  pages     = {1 -- 5},
  year      = {2007},
  language  = {en}
}
@inproceedings{Engels2007,
  author    = {Engels, Ralf},
  title     = {MIKE URBAN FLOOD: Modellkopplung von Kanalnetzmodell und 2D Oberfl{\"a}chenmodell},
  year      = {2007},
  abstract  = {Dipl.-Ing. Ralf Engels - DHI Wasser und Umwelt GmbH, Syke. 24 S. (S. 70-93) Beitrag zum 1. Aachener Softwaretag in der Wasserwirtschaft <1,2007, Aachen> Einleitung [des Autors] Die hydrodynamische Kanalnetzmodellierung ist ein Standardwerkzeug f{\"u}r die Bemessung von Kanalnetzen. Neben der Berechnung der hydrologischen und hydraulischen Gegebenheiten in einem st{\"a}dtischen Einzugsgebiet geh{\"o}ren auch weiterf{\"u}hrende Technologien mittlerweile zum Standard. So k{\"o}nnen alle steuerbaren Elemente eines Kanalnetzes dynamisch so optimiert werden, dass die Leistungsf{\"a}higkeit des Kanalnetzes zus{\"a}tzlich gesteigert werden kann. Automatische Werkzeuge zur dynamischen hydraulischen Schmutzfrachtberechnung erm{\"o}glichen die Erweiterung der Steuerung - insbesondere von Entlastungsanlagen - im Hinblick auf die entlasteten Schmutzfrachten und geben dar{\"u}ber hinaus detaillierte Informationen f{\"u}r den Betrieb der Kl{\"a}ranlage. Weiterf{\"u}hrende biologische Prozessmodellierungen erg{\"a}nzen dieses Themenfeld. GIS Werkzeuge k{\"o}nnen bei der r{\"a}umlich differenzierten Modellierung von Kanalnetzen wertvolle Dienste leisten. Die detaillierte Betrachtung einzelner Haltungsfl{\"a}chen in ihrem r{\"a}umlichen Zusammenhang ist damit ebenso m{\"o}glich wie eine komplette Verwaltung aller f{\"u}r die Kanalnetzmodellierung notwendigen Daten in einem {\"u}bersichtlichen grafischen Men{\"u}. Die Grenzen der Kanalnetzmodellierung lagen in fr{\"u}heren Zeiten an dessen Rand. Detaillierte Informationen {\"u}ber die Wege des Wassers auf der Gel{\"a}ndeoberfl{\"a}che, an der Schnittstelle zu Vorflutern und in der Interaktion mit Grundwasser waren bisher nicht modelltechnisch bewertbar. Eine dynamische Kopplung verschiedener Modelle zur Darstellung aller relevanten hydraulischen Prozesse erm{\"o}glicht eine integrative Betrachtung aller m{\"o}glichen Wege, die das Wasser in der Stadt nehmen kann (Mark \& Djordjevic, 2006). Dieser Beitrag pr{\"a}sentiert den Stand der Technik f{\"u}r die integrierte Modellierung st{\"a}dtischer {\"U}berschwemmungen mit Hilfe der Modellkopplung von Oberfl{\"a}chenmodellen und Kanalnetzmodellen.},
  subject      = {Bemessung},
  language  = {de}
}
@inproceedings{KuhnhenneFeldmannDoeringetal.2007,
  author    = {Kuhnhenne, Markus and Feldmann, Markus and D{\"o}ring, Bernd and Spranger, Sascha},
  title     = {Luftdichtheit im Stahlleichtbau - Geb{\"a}udeh{\"u}llen in Sandwichbauweise},
  series = {Dichte Geb{\"a}udeh{\"u}lle, Thermografie und Wohnungsl{\"u}ftung : 2. Europ{\"a}isches BlowerDoor-Symposium : 16.3. - 17.3. 2007, Kassel},
  booktitle = {Dichte Geb{\"a}udeh{\"u}lle, Thermografie und Wohnungsl{\"u}ftung : 2. Europ{\"a}isches BlowerDoor-Symposium : 16.3. - 17.3. 2007, Kassel},
  publisher = {Energie + Umwelt-Zentrum},
  organization    = {Europ{\"a}isches BlowerDoor-Symposium <2, 2007, Kassel>},
  pages     = {121 -- 134},
  year      = {2007},
  language  = {de}
}
@inproceedings{Dachwald2007,
  author    = {Dachwald, Bernd},
  title     = {Low-Thrust Mission Analysis and Global Trajectory Optimization Using Evolutionary Neurocontrol: New Results},
  series = {European Workshop on Space Mission Analysis ESA/ESOC, Darmstadt, Germany 10 { 12 Dec 2007},
  booktitle = {European Workshop on Space Mission Analysis ESA/ESOC, Darmstadt, Germany 10 { 12 Dec 2007},
  year      = {2007},
  abstract  = {Interplanetary trajectories for low-thrust spacecraft are often characterized by multiple revolutions around the sun. Unfortunately, the convergence of traditional trajectory optimizers that are based on numerical optimal control methods depends strongly on an adequate initial guess for the control function (if a direct method is used) or for the starting values of the adjoint vector (if an indirect method is used). Especially when many revolutions around the sun are re- quired, trajectory optimization becomes a very difficult and time-consuming task that involves a lot of experience and expert knowledge in astrodynamics and optimal control theory, because an adequate initial guess is extremely hard to find. Evolutionary neurocontrol (ENC) was proposed as a smart method for low-thrust trajectory optimization that fuses artificial neural networks and evolutionary algorithms to so-called evolutionary neurocontrollers (ENCs) [1]. Inspired by natural archetypes, ENC attacks the trajectoryoptimization problem from the perspective of artificial intelligence and machine learning, a perspective that is quite different from that of optimal control theory. Within the context of ENC, a trajectory is regarded as the result of a spacecraft steering strategy that maps permanently the actual spacecraft state and the actual target state onto the actual spacecraft control vector. This way, the problem of searching the optimal spacecraft trajectory is equivalent to the problem of searching (or "learning") the optimal spacecraft steering strategy. An artificial neural network is used to implement such a spacecraft steering strategy. It can be regarded as a parameterized function (the network function) that is defined by the internal network parameters. Therefore, each distinct set of network parameters defines a different network function and thus a different steering strategy. The problem of searching the optimal steering strategy is now equivalent to the problem of searching the optimal set of network parameters. Evolutionary algorithms that work on a population of (artificial) chromosomes are used to find the optimal network parameters, because the parameters can be easily mapped onto a chromosome. The trajectory optimization problem is solved when the optimal chromosome is found. A comparison of solar sail trajectories that have been published by others [2, 3, 4, 5] with ENC-trajectories has shown that ENCs can be successfully applied for near-globally optimal spacecraft control [1, 6] and that they are able to find trajectories that are closer to the (unknown) global optimum, because they explore the trajectory search space more exhaustively than a human expert can do. The obtained trajectories are fairly accurate with respect to the terminal constraint. If a more accurate trajectory is required, the ENC-solution can be used as an initial guess for a local trajectory optimization method. Using ENC, low-thrust trajectories can be optimized without an initial guess and without expert attendance. Here, new results for nuclear electric spacecraft and for solar sail spacecraft are presented and it will be shown that ENCs find very good trajectories even for very difficult problems. Trajectory optimization results are presented for 1. NASA's Solar Polar Imager Mission, a mission to attain a highly inclined close solar orbit with a solar sail [7] 2. a mission to de ect asteroid Apophis with a solar sail from a retrograde orbit with a very-high velocity impact [8, 9] 3. JPL's \2nd Global Trajectory Optimization Competition", a grand tour to visit four asteroids from different classes with a NEP spacecraft},
  language  = {en}
}