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Aufsatz
Continuous Feature Networks: A Novel Method to Process Irregularly and Inconsistently Sampled Data With Position-Dependent Features
(2023-12-30)
Continuous Kernels have been a recent development in convolutional neural networks. Such kernels are used to process data sampled at different resolutions as well as irregularly and inconsistently sampled data. Convolutional neural networks have the property of translational invariance (e.g., features are detected regardless of their position in the measurement domain), which is unsuitable if the position of detected features is relevant for the prediction task. However, the capabilities of continuous kernels to ...
Aufsatz
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Review of Flux Interaction of Differently Aligned Magnetic Fields in Inductors and Transformers
(2020-12-24)
Magnetic devices are used in the majority of power electronic applications, e.g. power electronic converters, mains filters or burst/surge protection. Typically, they are the bulkiest and most cost-intensive components. Flux interaction of differently aligned magnetic fields in inductors and transformers can be one opportunity for size and cost reduction. It enables controllable magnetic devices through an additional manipulated variable to improve application design. The presented article gives an overview about ...
Aufsatz
Effect of Auger recombination and leakage on the droop in InGaN/GaN quantum well LEDs
(Optical Society of America, 2014)
We investigate the effect of the epitaxial structure and the acceptor doping profile on the efficiency droop in InGaN/GaN LEDs by the physics based simulation of experimental internal quantum efficiency (IQE) characteristics. The device geometry is an integral part of our simulation approach. We demonstrate that even for single quantum well LEDs the droop depends critically on the acceptor doping profile. The Auger recombination was found to increase stronger than with the third power of the carrier density and has ...
Aufsatz
Fast computation of concept lattices using data mining techniques
(2000)
We present a new algorithm called TITANIC for computing concept lattices. It is based on data mining techniques for computing frequent itemsets. The algorithm is experimentally evaluated and compared with B. Ganter's Next-Closure algorithm.
Aufsatz
Gone with the internet - How the old education was lost
(2015-04-08)
Despite its young history, Computer Science Education has seen a number of "revolutions". Being a
veteran in the field, the author reflects on the many changes he has seen in computing and its teaching.
The intent of this personal collection is to point out that most revolutions came unforeseen and that
many of the new learning initiatives, despite high financial input, ultimately failed.
The author then considers the current revolution (MOOC, inverted lectures, peer instruction, game
design) and, based on the ...
Aufsatz
Working paper
Methodische Ansätze für die agentenorientierte Softwareentwicklung im Maschinen-und Anlagenbau
(2007-03-01)
Der Anteil dezentraler eingebetteter Systeme steigt in zahlreichen Andwendungsfeldern, wie der Kfz-Elektronik oder der Anlagenautomatisierung [ScZu03]. Zudem steigen die Anforderungen and die Flexibilität und den Funktionsumfang moderner automatisierungs-technischer Systeme. Der Einsatz agentenorientierter Methoden ist diesbezüglich ein geeigneter Ansatz diesen Anforderungen gerecht zu werden [WGU03]. Mit Agenten können flexible, anpassungsfähige Softwaresysteme entwickelt werden, welche die Verteilung von Informationen, ...