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OPEN FAU

Online publication system of Friedrich-Alexander-Universität Erlangen-Nürnberg

The online publication system OPEN FAU is the central publication platform for Open Access publishing for all members of Friedrich-Alexander-Universität. Qualified works from research and teaching may be published here free of charge, either as a primary or secondary publication. The full texts are permanently available worldwide and are findable and citable via catalogues and search engines.


To search for documents in OPEN FAU, please select "Search" (via the magnifying glass at the top right); this will provide you with various search options. If you want to publish a document, go to "Login" and "My Publications". Then drag you document into the field provided and enter the metadata. In just a few steps, you can submit your document. Please note our guidelines, the publication contract and FAQs.

 

Recent Submissions

Article
Open Access
Modellierung Neuronaler Netzwerke
(Humboldt-Universität zu Berlin, 1989-05-01) Boseniuk, Thorsten; Pöschel, Thorsten
Article
Open Access
Computer simulieren verstopfte Rohre
(Forschungszentrum Jülich, 1993-03-01) Pöschel, Thorsten; Puhl, Harald
Computersimulationen gewinnen in Forschung und Industrie immer mehr an Bedeutung; sie ersetzen und ergänzen experimentelle Untersuchungen oder erleichtern das Verständnis von Ergebnissen. Solche Simulationen werden bekanntlich auch im Höchstleistungsrechenzentrum (HLRZ) durchgeführt. Mitarbeiter des HLRZ haben in der Vergangenheit unter anderem den Fluß von granularen Medien durch Rohre berechnet. Dabei konnte die Frage beantwortet werden, warum z. B. beim Ausfluß von Sand oder Körnern aus Silos Verstopfungen auftreten. Der Grund sind unregelmäßige Dichtewellen; ihre Berechnung kann zur Lösung zahlreicher industrieller Probleme beitragen.
Conference object
Open Access
On the Hypercube Structure of the Genetic Code
(World Scientific, 1995-09-01) Jiménez-Montaño, Miguel A.; de la Mora-Basáñez, Carlos R.; Pöschel, Thorsten; Lim, Hwa A.; Cantor, Charles A.
A representation of the genetic code as a six–dimensional Boolean hypercube is proposed. It is assumed here that this structure is the result of the hierarchical order of the interaction energies of the bases in codon–anticodon recognition. The proposed structure demonstrates that in the genetic code there is a balance between conservatism and innovation. Comparing aligned positions in homologous protein sequences two different behaviors are found: a)There are sites in which the different amino acids present may be explained by one or two “attractor nodes” (coding for the dominating amino acid(s)) and their one–bit neighbors in the codon hypercube, and b) There are sites in which the amino acids present correspond to codons located in closed paths in the hypercube. The structure of the code facilitates evolution: the variation found at the variable positions of proteins do not corresponds to random jumps at the codon level, but to well defined regions of the hypercube.
Article
Open Access
A Multiprocessor System for High Speed Simulation of Neural Networks
(Akademie-Verlag, 1990) Boseniuk, Thorsten; van der Meer, Marius; Pöschel, Thorsten
A special purpose low-cost multiprocessor system for the high-speed simulation of error back-propagation (and related) algorithms will be proposed. It will be shown that the processing time rises with 0(LN) (L-number of layers in the network, N-number of elements per layer), while universal serial machines need 0(LN^2). A detailed hardware description will be given.
Article
Open Access
Primärprozesse der Photosynthese - kinetische Modellierung
(Humboldt-Universität zu Berlin, 1989-05-01) Voigt, Jochen; Maciy, Katina; Pöschel, Thorsten; Schimansky-Geier, Lutz