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Publications - 6374

In vitro tesztrendszer alkalmazása probiotikus baktériumtörzsek szelektálására

Judit Süle Zoltán Hatvan Z. Kerényi László Varga

Publication Name: Elelmiszervizsgalati Kozlemenyek

Publication Date: 2022-06-30

Volume: 68

Issue: 2

Page Range: 3904-3915

Description:

No description provided

Open Access: Yes

DOI: 10.52091/EVIK-2022/2-4-ENG

Application of the spme technique for determinate the quality indicators of dairy products

E. Lakatos Székelyhidi Rita Zsolt Ajtony

Publication Name: Elelmiszervizsgalati Kozlemenyek

Publication Date: 2020-12-01

Volume: 66

Issue: 4

Page Range: 3188-3201

Description:

Solid Phase Microextraction (SPME) is a relatively new extraction technique that combines taking samples from a mixture with a simpler desorption of the components to be analyzed of the unenriched sample in its original state in the analytical instrument. Based on a large number of publications in the literature, the authors describe the possibilities of using the SPME technique in the case of dairy products. The main groups of components that can be detected by the SPME sampling procedure, such as fatty acids, aldehydes and ketones, esters, alcohols, sulfur-containing organic compounds, furans, phenols and terpenoids are presented, through examples in the literature. Due to the limited scope of the manuscript, the authors report only on the possibilities of sample preparation using the SPME technique. Instrumental analytical methods following solid state microextraction, mainly using gas or liquid chromatography, are not described. Details of instrumental analyses are available in the cited literature sources.

Open Access: Yes

DOI: DOI not available

Implementation of a basic flow model in traffic controlling

Sándor Gacsal Timót Hidvégi

Publication Name: 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics Cinti 2008

Publication Date: 2008-12-01

Volume: Unknown

Issue: Unknown

Page Range: 523-530

Description:

The contribution introduces a basic model, a manner, how to control - using the specific tools - A crossing of a highway and a lower volume road, while we stop the highway's traffic only in a critical case otherwise just slow it down.

Open Access: Yes

DOI: DOI not available

Experimental result on supersonic flow simulation on emulated digital CNN-UM

Sándor Kocsárdi Zoltán Nagy Árpád Csík Péter Szolgay

Publication Name: Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications

Publication Date: 2008-09-23

Volume: Unknown

Issue: Unknown

Page Range: 5

Description:

In the area of mechanical, aerospace, chemical and civil engineering the solution of partial differential equations (PDEs) has been one of the most important problems of mathematics for a long time. In this field, one of the most exciting areas is the simulation of fluid flow, which involves for example problems of air, sea and land vehicle motion. ©2008 IEEE.

Open Access: Yes

DOI: 10.1109/CNNA.2008.4588636

Number archetypes and "background" control theory concerning the fine structure constant

Peter Varlaki László Nádai József Bokor

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2008-12-01

Volume: 5

Issue: 2

Page Range: 71-104

Description:

In this paper we analyze in detail the central role of number '137', the so-called Fine Structure Constant in the collaboration of Pauli and Jung. First, we present the fascination or the obsession of Pauli for the interpretation of number '137'. Second, we treat the spontaneous messages originating from unconscious concerning number '137' in the wellknown dreams of Pauli. We restrict our investigations to the dreams containing the especially important formulae of Fine Structure Constant (4π3 + π2 + π), and also that containing the so-called background models of mathematical control systems. Third, we shortly mention four of the numerous synchronicities arising during the Pauli-Jung collaboration.

Open Access: Yes

DOI: DOI not available

Improvements to the bacterial memetic algorithm used for fuzzy rule base extraction

János Botzheim László Gál Laszlo T. Koczy

Publication Name: Cimsa 2008 IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings

Publication Date: 2008-09-26

Volume: Unknown

Issue: Unknown

Page Range: 38-43

Description:

In this paper we discuss new methods to improve the Bacterial Memetic Algorithm (BMA) used for fuzzy rule base extraction. The first two methods are knot order violation handling methods which improves the performance of the BMA rather in the case of more complex fuzzy rule base. The third method is a new modification of the BMA in which the order of the operators is modified. This method improves the performance of the BMA rather in the case of less complex fuzzy rule base. ©2008 IEEE.

Open Access: Yes

DOI: 10.1109/CIMSA.2008.4595829

Drivers of weed species composition in Hungarian organic rice paddies

Mesterházy Attila B. Czúcz G. Pinke Lászó Tari János Csiky Z. Botta-Dukát

Publication Name: Paddy and Water Environment

Publication Date: 2026-03-01

Volume: 24

Issue: 1

Page Range: 41-50

Description:

Which factors are the most important determinants of weed species composition in organic rice fields? Which species can be associated with the extreme values of the most important background variables? To answer these questions, we surveyed the weed flora along with 15 management and 3 environmental variables in 42 organically managed rice fields in eastern Hungary. Filamentous algae, Chara vulgaris, Chara braunii, Schoenoplectus mucronatus, Elatine triandra, and Echinochloa crus-galli were the most dominant weeds. Using a minimal adequate model containing 4 terms with significant net effects, 48.3% of the total variation in weed species data could be explained. Farm holding size (correlated with sowing type, shift crop, organic manure and water depth) was found to be the most important explanatory variable, which was followed by hand weeding, tillage type (correlated with tillage depth, shift crop and supplementary nutrients) and rice cover. Farm holding size was negatively associated with most of the aquatic plants suggesting its adverse impact on farmland biodiversity. Hand weeding appeared to be efficient against Rumex stenophyllus and Echinochloa crus-galli, but it was tolerated by Cyperus difformis. Perennial weeds like Persicaria amphibia and Bolboschoenus planiculmis were more abundant in sites without soil inversion and Lemna aequinoctialis seemed to be most tolerant for the shading effect of crop canopy. The responses of weed species to the studied variables provide new information about the assembly rules of aquatic plant communities, and our findings also can be used to optimise non-chemical weed control strategies in organic rice production.

Open Access: Yes

DOI: 10.1007/s10333-025-01048-1

A Novel Motor Modelling Method for Reluctance Motor Electric Vehicle Drive Systems

István Szászi Tibor Vajsz Csongor Horváth Richárd Csaba Kovács Vilmos Paiss István Szászi

Publication Name: Proceedings 2025 IEEE 7th Global Power Energy and Communication Conference Gpecom 2025

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 216-221

Description:

The field of electric vehicles is one of the most popular research topics today. These vehicles require highly efficient and cost-competitive drive system solutions due to the increasing competition. The reluctance motor drive systems are excellent candidates for fulfilling these requirements However, the controlling of these drive systems is difficult as they represent a heavily nonlinear behavior due to the varying stator inductances. The stator inductances are changing both in the function of the stator currents- and that of the rotor position. This phenomenon makes it necessary to apply advanced modelling solutions that provide a more precise motor model for the torque control algorithm. This paper presents a novel motor modeling method for the reluctance motor drive systems. A new type of inductance matrix is derived, which is a critical part of the motor model. This inductance matrix is used to define new relationships for the electromagnetic torque and the phase voltages of the machine for a given stator current, leading to a novel motor model. This new motor model can serve as an input for the torque control algorithm research and development activities.

Open Access: Yes

DOI: 10.1109/GPECOM65896.2025.11062014

Entropy based fuzzy classification and detection aid for colorectal polyps

Ferenc Lilik Laszlo T. Koczy Szilvia Nagy

Publication Name: 2017 IEEE AFRICON Science Technology and Innovation for Africa AFRICON 2017

Publication Date: 2017-11-03

Volume: Unknown

Issue: Unknown

Page Range: 78-82

Description:

Colorectal polyps affect a large percentage of the population all over the world, and they can be a basis for more serious conditions such as cancers. As the most reliable method for detecting a polyp in the lower bowel tract is colonoscopy, more and more image processing experiments appear that help to find or characterize such a lesion. The social benefit of such methods is clear, any aid in detecting pre-cancer states saves lives. In the present considerations a fuzzy decision method for finding polyps on a colonoscopy image is presented. As a first step, the image taken during the colonoscopy is cut into tiles of size N by N, thus a rough localization of the lesion within the picture is also possible. The antecedent dimensions consist of statistical characteristics of the colour channels of the tiles, their Renyi entropies, edge density and fitted polynomial coefficients. The method's dependence on the tile-size within the images are also studied, and the success rate increases with the decrease of the tile size between 70 by 70 and 20 by 20 tile sizes.

Open Access: Yes

DOI: 10.1109/AFRCON.2017.8095459