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Budapest, Hungary

The Óbuda University named after Óbuda, a part of Budapest, is a technical university in Budapest, Hungary. It was originally founded in 2000 as Budapest Tech with the merging of 3 polytechnical institutes . With near 13 000 students it is one of the largest technical universities in the country. Having complied with the necessary requirements, the institution was promoted to university status on 1 January 2010 under the name of Óbuda University. Wikipedia.

Fodor J.,Obuda University | De Baets B.,Ghent University
Fuzzy Sets and Systems | Year: 2012

We study uninorms of which both the underlying t-norm and underlying t-conorm are strict. Such uninorms are the only candidates for being representable by an additive generator. We prove that the representability of such a uninorm depends solely on its value at a single arbitrary point in the 'remaining' open part of the unit square. More explicitly, such a uninorm turns out to be representable if and only if this single value is located strictly between the minimum and the maximum of the corresponding arguments. If this single value coincides with one of these bounds, then the value of the uninorm at any point in the 'remaining' open part is determined by the same bound. © 2011 Published by Elsevier B.V. Source

Szenasi S.,Obuda University
International Journal of Circuits, Systems and Signal Processing | Year: 2014

Signal processing plays an important role in the work of pathologists; it is especially true for image processing software products. High-resolution digital images have taken over the role of traditional tissue slides on a glass plate. In addition to the direct effects of this advancement (sharing images, remote access, etc.), a new option appeared: the possibility of using image processing software for automatic (or semi-automatic) diagnostics. One of the most important tasks in this procedure is the segmentation of the tissue images; we have to identify the main components (in the case of colon tissue samples, these are the cell nuclei, glands and surface epithelium). There are several traditional image segmentation methods for this purpose, but none of them provides both acceptable accuracy and runtime. This paper presents a distributed region growing method implemented on CPUs and GPGPUs. Source

Rusinko A.,Obuda University
Ultrasonics | Year: 2011

In the presented work, a modeling of ultrasonic hardening and softening has been carried out. The analytical model is constructed by the generalization of the synthetic theory of plastic deformation. A new term, ultrasonic defect intensity, is being introduced so that the phenomenon of both hardening and softening is described by the uniform system of constitutive equations. © 2011 Elsevier B.V. All rights reserved. Source

Kovacs L.,Obuda University
SAMI 2013 - IEEE 11th International Symposium on Applied Machine Intelligence and Informatics, Proceedings | Year: 2013

Due to the continuous development in computer science, control engineering and measurement theory, the possibilities of biomedical engineering are extending. The aim of physiological control - a subdiscipline of biomedical engineering - is to study, model and apply identification and control strategies in order to understand and help the automated treatment of various diseases and injuries of the human body. In many biomedical systems external controllers provide biosignal input or inject given specific dosage substituting the internal, physiological procedure because patient's body cannot ensure it or produce it. The outer control might be partially or fully automated. The regulation has several strict requirements, but once adequately established, it permits not only to facilitate the patient's life, but also to optimize (if necessary) the amount of the used dosage. © 2013 IEEE. Source

Kadar P.,Obuda University
Acta Polytechnica Hungarica | Year: 2013

In this paper we introduce some of the power systems' control and operation problems. The management of the modern power system faces mainly optimization tasks. We show some single and multi objective optimization solutions, these are: Decision making; Optimization of the schedule of renewable sources; Energy storage problems; Optimization of the network structure; Definition of the right power mix in single and also multiobjective case, Regional energy trade. A large variety of applied technologies is described. In the industry the fast and robust methods are favored. Source

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