Search in Publications

Found 5157 publications

Numerical analysis of a 2D vector hysteresis measurement system under construction

Miklós Kuczmann

Publication Name: Journal of Electrical Engineering

Publication Date: 2006-12-01

Volume: 57

Issue: 8 SUPPL

Page Range: 44-47

Description:

This paper deals with the numerical analysis of a vector hysteresis measurement system which is under construction. The aim is to build up a single sheet tester with round shaped specimen. The goal of simulations is to find out the main features of the measurement system. The 3D finite element method (FEM) with tetrahedral mesh has been applied for investigations of the nonlinear eddy current field problem. The characteristic of the magnetic material has been taken into account by the isotropic vector Preisach model. The nonlinearity has been handled by the polarization method and the nonlinear system of equations has been solved by the fixed point technique. The first results are presented in this work. © 2006 FEI STU.

Open Access: Yes

DOI: DOI not available

Realization of the Jiles-Atherton hysteresis model applying the LabVIEW and MATLAB software package

Miklós Kuczmann Eszter Sárospataki

Publication Name: Journal of Electrical Engineering

Publication Date: 2006-12-01

Volume: 57

Issue: 8 SUPPL

Page Range: 40-43

Description:

In this paper we will show a procedure developed under MATLAB and LabVIEW software package which is able to simulate the scalar ferromagnetic hysteresis applying the Jiles-Atherton model. The MATLAB realization has been developed to analyze the behaviour of model, the LabVIEW realization has been applied to simulate a toroidal shape core. The measurement system containing the core will be the basis of a controlling algorithm to realize sinusoidal form of the magnetic flux density. © 2006 FEI STU.

Open Access: Yes

DOI: DOI not available

Reduction of vibrations generated by the drive system of rail vehicles

Ferenc Szauter Laszlo Bozoky Vince Nagy

Publication Name: Proceedings of the Mini Conference on Vehicle System Dynamics Identification and Anomalies

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: 177-182

Description:

The vibrations coming from the drive system of the railway vehicle induces damages to the car-body of the vehicle. The aims of the current test were to come into the position of determining the causes of these vibrations, to explore the reduction possibilities, to point out the loci of resonance, to speed up the recognition of failures and the renewal purpose repair processes of the vehicles.

Open Access: Yes

DOI: DOI not available

Separated antecedent and consequent learning for Takagi-Sugeno fuzzy systems

J. Botzheim T. D. Gedeon Erich Peter Klement Edwin Lughofer L. T. Koczy

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: 2263-2269

Description:

In this paper a new algorithm for the learning of Takagi-Sugeno fuzzy systems is introduced. In the algorithm different learning techniques are applied for the antecedent and the consequent parameters of the fuzzy system. We propose a hybrid method for the antecedent parameters learning based on the combination of the Bacterial Evolutionary Algorithm (BEA) and the Levenberg-Marquardt (LM) method. For the linear parameters in fuzzy systems appearing in the rule consequents the Least Squares (LS) and the Recursive Least Squares (RLS) techniques are applied, which will lead to a global optimal solution of linear parameter vectors in the least squares sense. Therefore a better performance can be guaranteed than with a complete learning by BEA and LM. The paper is concluded by evaluation results based on high-dimensional test data. These evaluation results compare the new method with some conventional fuzzy training methods with respect to approximation accuracy and model complexity. © 2006 IEEE.

Open Access: Yes

DOI: 10.1109/FUZZY.2006.1682014

Learning generalized weighted relevance aggregation operators using levenberg-marquardt method

B. Sumudu U. Mendis T. D. Gedeon L. T. Koczy

Publication Name: Proceedings Sixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro Computing and Evolving Intelligence His Ncei 2006

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

We previously introduced the generalized Weighted Relevance Aggregation Operators (WRAO) for hierarchical fuzzy signatures. WRAO enhances the ability of the fuzzy signature model to adapt to different applications and simplifies the learning of fuzzy signature models from data. In this paper we overcome the practical issues which occur when learning WRAO from data. This paper discuss an algorithm for learning WRAO using the Levenberg-Marquardt (LM) method, which is one of the most sophisticated and widely used gradient based optimization method. Also, this paper shows the successful results of applying the proposed algorithm to extract WRAO for two real world problems namely High Salary Selection and SARS Patient Classification. © 2006 IEEE.

Open Access: Yes

DOI: 10.1109/HIS.2006.264917

Traffic Dependent Pavement Management Algorithm

Kornélia Ambrus-Somogyi András Bakó Lajos Tóth

Publication Name: 2006 IEEE International Conference on Computational Cybernetics Iccc

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The Road Management Systems (and the PMS) usually do not take into consideration the future traffic change. The maintenance and rehabilitation actions and the development of the road network structure and the changing traffic structure modify the amount of the traffic on the road section. The deterioration process depends on mostly the volume of the traffic. That is why it is important to take into consideration the change of the traffic volume during the planning time horizon. In the lecture some techniques are shown which handle this problem: in multiperiod, long time model at each planning period the traffic volume change is take into consideration.In ranking models the problem could be handled and solved. In the case of one period Markov stabile model there is nothing to do. In the multiperiod model the problem could be solved also.

Open Access: Yes

DOI: 10.1109/ICCCYB.2006.305740

Application of tensor product models for vehicle de-formational processes

Istvan Harmati András Rövid P. Várlaki

Publication Name: Proceedings of the Mini Conference on Vehicle System Dynamics Identification and Anomalies

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: 615-620

Description:

Modelling of vehicle deformational processes plays an important role in car body design and accident analysis. It is a difficult task and usually carried out applying a kind of finite element method. Determination of the absorbed energy by the deformation and the corresponding energy equivalent speed (EES) can be of great importance. Exact determination or measuring of these quantities is almost impossible, so one could estimate them. In this paper we introduce a modeling technique and a model for describing the deformation process. A short description of the main idea: let we have a 3-dimensional rectangular grid on the vehicle body (or on something else). The partition is determined by taking into consideration the energy absorbing properties of the parts of the vehicle, so each cell is approximately homogenous. The cells could be identified as the entries of a tensor of order 3. We concentrate on the energy absorbed by the cells, but not on the physical coordinates of the cells. Energy absorption property (rate of the input and the absorbed energy) of a certain cell could change during the deformational process, so the absorbed energy is calculated using a monotonous decreasing function. These functions can be defined for each possible orthogonal direction of the possible impact. Instead of the original impact we deal with its orthogonal components and the result will be the sum of the particular results. The rectangular grid allows us to compute from level to level. These computations can be realized applying tensor products, the model has low complexity which can be more decreased by complexity reducing methods known from linear algebra.

Open Access: Yes

DOI: DOI not available

Adopting RFID in supply chains

Tamás Hartványi Lajos Tóth Péter Németh

Publication Name: 2006 IEEE International Conference on Mechatronics Icm

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: 263-266

Description:

Within the framework Interreg IIIC REGINS (Regional standardized Interfaces for a better integration of regional SMEs in the European Economy - http://www.regins.org) the Department of Logistics and Forwarding at the Széchenyi István University in Gyor, Hungary started a project with the title "Promotion of RFId (Radio Frequency Identification)". The project started in June 2005, and ended in May 2006. Our partners are situated in Upper Austria, Stuttgart Region, and Lombardy Region. Our project screens the state of the art and the ongoing development of RFId technology and processes. Special focus is on the needs of SMEs. This paper is the first in a series of publications regarding this topic, screening the state-of-the-art of RFId systems and the challanges and possibilities of the introduction to various supply chains. © 2006 IEEE.

Open Access: Yes

DOI: 10.1109/ICMECH.2006.252535

Analysis of temporal patterns of physiological parameters

Balázs Benyó

Publication Name: Neural Networks in Healthcare Potential and Challenges

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: 284-316

Description:

This chapter deals with the analysis of spontaneous changes occurring in two physiological parameters: the cerebral blood flow and respiration. Oscillation of the cerebral blood flow is a common feature in several physiological or pathophysiological states and may significantly influence the metabolic state of the brain. Our goal was to characterize the temporal blood flow pattern before, during, and after the development of CBF oscillations. Investigation of this phenomenon may not only clarify the underlying regulatory mechanisms and their alterations under certain conditions but also lead to the development of novel clinical diagnostic tools for early identification of developing cerebrovascular dysfunction in pathophysiological states such as brain trauma or stroke. A disturbance in normal breathing may occur in several nervous and physical diseases. In the present study, we introduce a reliable online method which is able to recognize abnormal sections of respiration, that is, the most common breathing disorder, the sleep apnea syndrome, based on a single time signal, the nasal air flow. There are several common features of the above problems and signals under investigation that imply similar solutions. The chapter introduces the systematic way of selecting proper feature extraction method and optimal classification procedure. The introduced approach can be generalized for the analysis of similar time series featuring physiological parameters. © 2006, Idea Group Inc.

Open Access: Yes

DOI: 10.4018/978-1-59140-848-2.ch013