@inproceedings{ArndtConzenElsenetal.2023,
  author    = {Arndt, Tobias and Conzen, Max and Elsen, Ingo and Ferrein, Alexander and Galla, Oskar and K{\"o}se, Hakan and Schiffer, Stefan and Tschesche, Matteo},
  title     = {Anomaly detection in the metal-textile industry for the reduction of the cognitive load of quality control workers},
  series = {PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments},
  booktitle = {PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments},
  publisher = {ACM},
  isbn      = {9798400700699},
  doi       = {10.1145/3594806.3596558},
  pages     = {535 -- 542},
  year      = {2023},
  abstract  = {This paper presents an approach for reducing the cognitive load for humans working in quality control (QC) for production processes that adhere to the 6σ -methodology. While 100\% QC requires every part to be inspected, this task can be reduced when a human-in-the-loop QC process gets supported by an anomaly detection system that only presents those parts for manual inspection that have a significant likelihood of being defective. This approach shows good results when applied to image-based QC for metal textile products.},
  language  = {en}
}
@inproceedings{ElsenKraissKrumbiegel1997,
  author    = {Elsen, Ingo and Kraiss, Karl-Friedrich and Krumbiegel, Dirk},
  title     = {Pixel based 3D object recognition with bidirectional associative memories},
  series = {International Conference on Neural Networks 1997},
  booktitle = {International Conference on Neural Networks 1997},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {0-7803-4122-8},
  pages     = {1679 -- 1684},
  year      = {1997},
  abstract  = {This paper addresses the pixel based recognition of 3D objects with bidirectional associative memories. Computational power and memory requirements for this approach are identified and compared to the performance of current computer architectures by benchmarking different processors. It is shown, that the performance of special purpose hardware, like neurocomputers, is between one and two orders of magnitude higher than the performance of mainstream hardware. On the other hand, the calculation of small neural networks is performed more efficiently on mainstream processors. Based on these results a novel concept is developed, which is tailored for the efficient calculation of bidirectional associative memories. The computational efficiency is further enhanced by the application of algorithms and storage techniques which are matched to characteristics of the application at hand.},
  language  = {en}
}
@inproceedings{Elsen1998,
  author    = {Elsen, Ingo},
  title     = {A pixel based approach to view based object recognition with self-organizing neural networks},
  series = {IECON'98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society},
  booktitle = {IECON'98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {0-7803-4503-7},
  doi       = {10.1109/IECON.1998.724032},
  pages     = {2040 -- 2044},
  year      = {1998},
  abstract  = {This paper addresses the pixel based classification of three dimensional objects from arbitrary views. To perform this task a coding strategy, inspired by the biological model of human vision, for pixel data is described. The coding strategy ensures that the input data is invariant against shift, scale and rotation of the object in the input domain. The image data is used as input to a class of self organizing neural networks, the Kohonen-maps or self-organizing feature maps (SOFM). To verify this approach two test sets have been generated: the first set, consisting of artificially generated images, is used to examine the classification properties of the SOFMs; the second test set examines the clustering capabilities of the SOFM when real world image data is applied to the network after it has been preprocessed to be invariant against shift, scale and rotation. It is shown that the clustering capability of the SOFM is strongly dependant on the invariance coding of the images.},
  language  = {en}
}
@article{ElsenKraissKrumbiegeletal.1999,
  author    = {Elsen, Ingo and Kraiss, Karl-Friedrich and Krumbiegel, Dirk and Walter, Peter and Wickel, Jochen},
  title     = {Visual information retrieval for 3D product identification: a midterm report},
  series = {KI - K{\"u}nstliche Intelligenz},
  volume    = {13},
  journal   = {KI - K{\"u}nstliche Intelligenz},
  number    = {1},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1610-1987},
  pages     = {64 -- 67},
  year      = {1999},
  language  = {en}
}
@article{ElsenKraiss1999,
  author    = {Elsen, Ingo and Kraiss, Karl-Friedrich},
  title     = {System concept and realization of a scalable neurocomputing architecture},
  series = {Systems Analysis Modelling Simulation},
  volume    = {35},
  journal   = {Systems Analysis Modelling Simulation},
  number    = {4},
  publisher = {Gordon and Breach Science Publishers},
  address   = {Amsterdam},
  issn      = {0232-9298},
  pages     = {399 -- 419},
  year      = {1999},
  abstract  = {This paper describes the realization of a novel neurocomputer which is based on the concepts of a coprocessor. In contrast to existing neurocomputers the main interest was the realization of a scalable, flexible system, which is capable of computing neural networks of arbitrary topology and scale, with full independence of special hardware from the software's point of view. On the other hand, computational power should be added, whenever needed and flexibly adapted to the requirements of the application. Hardware independence is achieved by a run time system which is capable of using all available computing power, including multiple host CPUs and an arbitrary number of neural coprocessors autonomously. The realization of arbitrary neural topologies is provided through the implementation of the elementary operations which can be found in most neural topologies.},
  language  = {en}
}
@inproceedings{WalterElsenMuelleretal.1999,
  author    = {Walter, Peter and Elsen, Ingo and M{\"u}ller, Holger and Kraiss, Karl-Friedrich},
  title     = {3D object recognition with a specialized mixtures of experts architecture},
  series = {IJCNN'99. International Joint Conference on Neural Networks. Proceedings},
  booktitle = {IJCNN'99. International Joint Conference on Neural Networks. Proceedings},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {0-7803-5529-6},
  issn      = {1098-7576},
  doi       = {10.1109/IJCNN.1999.836243},
  pages     = {3563 -- 3568},
  year      = {1999},
  abstract  = {Aim of the AXON2 project (Adaptive Expert System for Object Recogniton using Neuml Networks) is the development of an object recognition system (ORS) capable of recognizing isolated 3d objects from arbitrary views. Commonly, classification is based on a single feature extracted from the original image. Here we present an architecture adapted from the Mixtures of Eaqerts algorithm which uses multiple neuml networks to integmte different features. During tmining each neural network specializes in a subset of objects or object views appropriate to the properties of the corresponding feature space. In recognition mode the system dynamically chooses the most relevant features and combines them with maximum eficiency. The remaining less relevant features arz not computed and do therefore not decelerate the-recognition process. Thus, the algorithm is well suited for ml-time applications.},
  language  = {en}
}
@phdthesis{Elsen2000,
  author    = {Elsen, Ingo},
  title     = {Ansichtenbasierte 3D-Objekterkennung mit erweiterten selbstorganisierenden Merkmalskarten},
  publisher = {VDI-Verlag},
  address   = {D{\"u}sseldorf},
  isbn      = {978-3-18-363110-0},
  issn      = {0341-1796},
  pages     = {VIII, 140 S. : Ill., graph. Darst.},
  year      = {2000},
  language  = {de}
}
@article{ElsenHartungHornetal.2001,
  author    = {Elsen, Ingo and Hartung, Frank and Horn, Uwe and Kampmann, Markus and Peters, Liliane},
  title     = {Streaming technology in 3G mobile communication systems},
  series = {Computer : innovative technology for computer professionals},
  volume    = {34},
  journal   = {Computer : innovative technology for computer professionals},
  number    = {9 Seiten},
  editor    = {Voas, Jeffrey},
  publisher = {IEEE},
  address   = {New York},
  issn      = {0018-9162},
  pages     = {46 -- 52},
  year      = {2001},
  abstract  = {Third-generation mobile communication systems will combine standardized streaming with a range of unique services to provide high-quality Internet content that meets the specific needs of the rapidly growing mobile market.},
  language  = {en}
}
@inproceedings{ElsenHawariJohnen2010,
  author    = {Elsen, Ingo and Hawari, Asma and Johnen, Uwe},
  title     = {Produktkernel in der Systemintegration (Erfahrungsbericht aus der Praxis)},
  series = {Vom Projekt zum Produkt - Fachtagung des GI-Fachausschusses Management der Anwendungsentwicklung und -wartung im Fachbereich Wirtschaftsinformatik (WI-MAW), 1. - 3. Dezember 2010 in Aachen},
  booktitle = {Vom Projekt zum Produkt - Fachtagung des GI-Fachausschusses Management der Anwendungsentwicklung und -wartung im Fachbereich Wirtschaftsinformatik (WI-MAW), 1. - 3. Dezember 2010 in Aachen},
  editor    = {Pietsch, Wolfram and Krams, Benedikt},
  publisher = {Gesellschaft f{\"u}r Informatik eV},
  address   = {Bonn},
  isbn      = {9783885792727},
  issn      = {1617-5468},
  pages     = {93 -- 102},
  year      = {2010},
  abstract  = {In der Vergangenheit basierten große Systemintegrationsprojekte in der Regel auf Individualentwicklungen f{\"u}r einzelne Kunden. Getrieben durch Kostendruck steigt aber der Bedarf nach standardisierten L{\"o}sungen, die gleichzeitig die individuellen Anforderungen des jeweiligen Umfelds ber{\"u}cksichtigen. T-Systems GEI GmbH wird beiden Anforderungen mit Produktkerneln gerecht. Neben den technischen Aspekten der Kernelentwicklung spielen besonders organisatorische Aspekte eine Rolle, um Kernel effizient und qualitativ hochwertig zu entwickeln, ohne deren Funktionalit{\"a}ten ins Uferlose wachsen zu lassen. Umgesetzt hat T-Systems dieses Konzept f{\"u}r Flughafeninformationssysteme. Damit kann dem wachsenden Bedarf der Flughafenbetreiber nach einer effizienten und kosteng{\"u}nstigen Softwarel{\"o}sung zur Unterst{\"u}tzung Ihrer Gesch{\"a}ftsprozesse entsprochen werden.},
  language  = {de}
}
@inproceedings{ElsenSchmalzbauer2011,
  author    = {Elsen, Ingo and Schmalzbauer, Michael},
  title     = {Messsystematik zur Steuerung der Produkt- und Prozessqualit{\"a}t in Systemintegrationsprojekten - ein Erfahrungsbericht},
  series = {Software Engineering 2011 - Fachtagung des GI-Fachbereichs Softwaretechnik, 21. - 25. Februar 2011 in Karlsruhe},
  booktitle = {Software Engineering 2011 - Fachtagung des GI-Fachbereichs Softwaretechnik, 21. - 25. Februar 2011 in Karlsruhe},
  editor    = {Reussner, Ralf and Grund, Matthias and Andreas, Oberweis and Tichy, Walter},
  publisher = {Gesellschaft f{\"u}r Informatik eV},
  address   = {Bonn},
  isbn      = {9783885792772},
  issn      = {1617-5468},
  pages     = {1 Seite},
  year      = {2011},
  abstract  = {Der Erfolg eines Softwarenentwicklungsprojektes insbesondere eines Systemintegrationsprojektes wird mit der Erf{\"u}llung des „Teufelsdreiecks", „In-Time", „In-Budget", „In-Quality" gemessen. Hierzu ist die Kenntnis der Software- und Prozessqualit{\"a}t essenziell, um die Einhaltung der Qualit{\"a}tskriterien festzustellen, aber auch, um eine Vorhersage hinsichtlich Termin- und Budgettreue zu treffen. Zu diesem Zweck wurde in der T-Systems Systems Integration ein System aus verschiedenen Key Performance Indikatoren entworfen und in der Organisation implementiert, das genau das leistet und die Kriterien f{\"u}r CMMI Level 3 erf{\"u}llt.},
  language  = {de}
}