@article{Schaub2003,
  author    = {Schaub, Torsten},
  title     = {Antwortmengenprogrammierung},
  year      = {2003},
  language  = {de}
}
@article{HolzBergerSchroeder2013,
  author    = {Holz, Jan and Berger, Nadine and Schroeder, Ulrike},
  title     = {Anwendungsorientierte Gestaltung eines Informatik-Vorkurses als Studienmotivator},
  series = {Commentarii informaticae didacticae : (CID)},
  journal   = {Commentarii informaticae didacticae : (CID)},
  number    = {5},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {1868-0844},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-64871},
  pages     = {56 -- 66},
  year      = {2013},
  abstract  = {Zur Unterst{\"u}tzung von Studierenden in der Studieneingangsphase wurde an der RWTH Aachen ein neuartiger und motivierender Einstieg in den Vorkurs Informatik entwickelt und zum Wintersemester 2011/12 erprobt. Dabei wurde die grafische Programmierung mittels App Inventor eingef{\"u}hrt, die zur Umsetzung anwendungsbezogener Projekte genutzt wurde. In diesem Beitrag werden die Motivation f{\"u}r die Neugestaltung, das Konzept und die Evaluation des Testlaufs beschrieben. Diese dienen als Grundlage f{\"u}r eine vollst{\"a}ndige Neukonzeption des Vorkurses f{\"u}r das Wintersemester 2012/2013.},
  language  = {de}
}
@article{SteinertHirschfeld2012,
  author    = {Steinert, Bastian and Hirschfeld, Robert},
  title     = {Applying design knowledge to programming},
  year      = {2012},
  language  = {en}
}
@article{AngerGebserSchaub2006,
  author    = {Anger, Christian and Gebser, Martin and Schaub, Torsten},
  title     = {Approaching the core of unfounded sets},
  year      = {2006},
  language  = {en}
}
@article{Raimer2010,
  author    = {Raimer, Stephan},
  title     = {Aquadrohne, Messdatenerfassung und Co.},
  series = {Commentarii informaticae didacticae : (CID)},
  journal   = {Commentarii informaticae didacticae : (CID)},
  number    = {4},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {1868-0844},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-64345},
  pages     = {59 -- 64},
  year      = {2010},
  abstract  = {Projektmanagement-Kompetenzen werden von Unternehmen unterschiedlichster Branchen mit wachsender Priorit{\"a}t betrachtet und eingefordert. Als Beitrag zu einer kompetenzorientierten Ausbildung werden in diesem Paper interdisziplin{\"a}re Studienmodule als Bestandteil des Wirtschaftsinformatik-Studiums vorgestellt. Zielsetzung der Studienmodule ist die Bef{\"a}higung der Studierenden, konkrete Projekte unter Nutzung von standardisierten Werkzeugen und Methoden nach dem IPMA-Standard planen und durchf{\"u}hren zu k{\"o}nnen.},
  language  = {de}
}
@article{SchneidenbachSchnorPetri2003,
  author    = {Schneidenbach, Lars and Schnor, Bettina and Petri, Stefan},
  title     = {Architecture and Implementation of the Socket Interface on Top of GAMMA},
  isbn      = {0-7695-2037-5},
  year      = {2003},
  language  = {en}
}
@article{SteinertStabernack2022,
  author    = {Steinert, Fritjof and Stabernack, Benno},
  title     = {Architecture of a low latency H.264/AVC video codec for robust ML based image classification how region of interests can minimize the impact of coding artifacts},
  series = {Journal of Signal Processing Systems for Signal, Image, and Video Technology},
  volume    = {94},
  journal   = {Journal of Signal Processing Systems for Signal, Image, and Video Technology},
  number    = {7},
  publisher = {Springer},
  address   = {New York},
  issn      = {1939-8018},
  doi       = {10.1007/s11265-021-01727-2},
  pages     = {693 -- 708},
  year      = {2022},
  abstract  = {The use of neural networks is considered as the state of the art in the field of image classification. A large number of different networks are available for this purpose, which, appropriately trained, permit a high level of classification accuracy. Typically, these networks are applied to uncompressed image data, since a corresponding training was also carried out using image data of similar high quality. However, if image data contains image errors, the classification accuracy deteriorates drastically. This applies in particular to coding artifacts which occur due to image and video compression. Typical application scenarios for video compression are narrowband transmission channels for which video coding is required but a subsequent classification is to be carried out on the receiver side. In this paper we present a special H.264/Advanced Video Codec (AVC) based video codec that allows certain regions of a picture to be coded with near constant picture quality in order to allow a reliable classification using neural networks, whereas the remaining image will be coded using constant bit rate. We have combined this feature with the ability to run with lowest latency properties, which is usually also required in remote control applications scenarios. The codec has been implemented as a fully hardwired High Definition video capable hardware architecture which is suitable for Field Programmable Gate Arrays.},
  language  = {en}
}
@article{Reinke2000,
  author    = {Reinke, Thomas},
  title     = {Architecture-based construction of multiagent systems},
  isbn      = {1-58603-013-2},
  year      = {2000},
  language  = {en}
}
@article{Wang2000,
  author    = {Wang, Kewen},
  title     = {Argumentation-based abduction in disjunctive logic programming},
  year      = {2000},
  language  = {en}
}
@article{ZieheMuellerNolteetal.2000,
  author    = {Ziehe, Andreas and M{\"u}ller, Klaus-Robert and Nolte, G. and Mackert, B.-M. and Curio, Gabriel},
  title     = {Artifact reduction in magnetoneurography based on time-delayed second-order correlations},
  year      = {2000},
  language  = {en}
}