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A novel solar sterilization and water destillation system : experiment and thermodynamic analysis
(1991)
Globale Betrachtung regenerativer Energieressourcen und deren technische Nutzungsmöglichkeiten
(1992)
Die Arbeitsgemeinschaft Solar Nordrhein-Westfalen, Schwerpunkt B: Dezentrale Energietechnologien
(1992)
PV-transmitter and receiver
(1992)
Modenfilter als Schalldämpfer für axiale Turbomaschinen : Möglichkeiten und Grenzen des Einsatzes
(1992)
Objekt-orientierte Modellierung hybrider Systeme mit heuristischen und analytischen Merkmalen
(1994)
Auslegung der CFK-Sandwich-Rumpfstruktur eines Hubschraubers mit der Methode der Finiten Elemente
(1994)
Design and implementation aspects of a 3D reconstruction algorithm for the Jülich TierPET system
(1997)
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.
Der Aluminium-Sekundärstoffstrom in Deutschland unter transporttechnischen Gesichtspunkten : Vortrag
(1998)
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.
Entscheidungsunterstützung bei der Gestaltung der betrieblichen Energieversorgung und -nutzung
(1998)
Smart pixel : photonic mixer device (PMD) ; new system concept of a 3D-imaging camera-on-a-chip
(1998)
Harte Echtzeit für Windows
(1999)
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.
10 Regeln für das Desaster
(2001)