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Found 6407 publications

Encountering the cognitive and noetic endeavors of macedon renaissance : PPart II: Macedonian renaissance and system of depicting and meaning for the picture of sephanus rex on the coronation mantle (Royal Casula) of St Stephen of Hungary. Anagrams and their Cognitive Interpretations

Peter Varlaki Judit Ida Steiner-Varlaki Peter Baranyi

Publication Name: 11th IEEE International Conference on Cognitive Infocommunications Coginfocom 2020 Proceedings

Publication Date: 2020-09-23

Volume: Unknown

Issue: Unknown

Page Range: 533-542

Description:

The paper discusses artworks of Royal (Coronation) Robe (Casula) of St Stephen of Hungary in the style of the Macedonian Renaissance representing noetic and pneumatic experiences renewing the traditional Christian views and interpretations. In this part in the framework of the old Greek noetic and Israelite-Judaic pneumatic experiences, the narrative in Plato's sense uses old mythological patterns not as a religious idea but a hermeneutical didactically support the original noetic or pneumatic experience.

Open Access: Yes

DOI: 10.1109/CogInfoCom50765.2020.9237909

Optimization in fuzzy flip-flop neural networks

László Gál Rita Lovassy Laszlo T. Koczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2010-11-03

Volume: 313

Issue: Unknown

Page Range: 337-348

Description:

The fuzzy J-K and D flip-flops present s-shape transfer characteristics in same particular cases. We propose the fuzzy flip-flop neurons; single input-single output units derived from fuzzy flip-flops as sigmoid function generators. The fuzzy neurons-based neural networks, Fuzzy Flip-Flop Neural Networks (FNN) parameters are quasi optimized using a second-order gradient algorithm, the Levenberg-Marquardt method (LM) and an evolutionary algorithm, the Bacterial Memetic Algorithm with Modified Operator Execution Order (BMAM). The quasi optimized FNN's performance based on Dombi and Yager fuzzy operations has been examined with a series of test functions. © 2010 Springer-Verlag Berlin Heidelberg.

Open Access: Yes

DOI: 10.1007/978-3-642-15220-7_27

Fuzzy and Kohonen SOM based classification of different 0D nanostructures

Márk Farkas Ákos Nemcsics Antal Ürmös Zoltán Farkas Tamás Sándor Laszlo T. Koczy

Publication Name: Sami 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics Proceedings

Publication Date: 2017-03-16

Volume: Unknown

Issue: Unknown

Page Range: 365-370

Description:

In this paper, the clustering of the GaAs-based droplet epitaxially grown self-assembled nanostructures was investigated by soft-computing methods. The properties and the operation of these devices, depend on the type, the shape, the size, and their distribution of these 0 dimensional nanostructures. Because of this, it is very important to know, how and what kind of nanostructures can form, at the given technological parameters. Our goal is the classification of these nanostructures, in order to support the research and the production of these devices. Our solution is based on the shape factor calculation of the given nanostructure. In this work, two possible classification methods of nanostructures were introduced as well. First, the classification potential of the Kohonen Self-Organizing Mapping (SOM) was investigated. Second, the fuzzy inference system based classification was studied. In this case, the shape factor was determined by geometrical sizes of the nanostructures. In this paper the clustering was introduced, which supports many kinds of technology as well.

Open Access: Yes

DOI: 10.1109/SAMI.2017.7880335

A comparative study of various evolutionary algorithms used for fuzzy rule-based inference and learning systems

Krisztián Balázs Zs Dányádi Laszlo T. Koczy

Publication Name: Iccc Conti 2010 IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics Proceedings

Publication Date: 2010-08-06

Volume: Unknown

Issue: Unknown

Page Range: 49-54

Description:

The goal of this paper is to provide an overview of a variety of evolutionary algorithms, comparing their efficiency on fuzzy rule-based inference and learning. Fuzzy rule-based inference can be used to model a desirable outward behavior of a system when given a specific input, which, in the case of this comparative study, is determined by a set of samples, generated by sufficiently complex objective functions. Optimizing a fuzzy rule-based inference system is a matter of finding a rule base that is as close to imitating the desired behavior as possible. While the specific applications of evolutionary methods are endless, the objective functions used here remain general in nature. © 2010 IEEE.

Open Access: Yes

DOI: 10.1109/ICCCYB.2010.5491228

Analysis of morphology changes of heat treated metallization of compound semiconductors by the fast wavelet-transform based on B-Spline

K. A. Demcu M. Schusztera László Dobos Imre Mojzes Szilvia Nagy

Publication Name: Journal of Optoelectronics and Advanced Materials

Publication Date: 2007-01-01

Volume: 9

Issue: 7

Page Range: 2241-2244

Description:

Heat treatment of metallized compound semiconductors results in generation of Ohmic contacts. The morphology changes of the surface during the thermal treatment can be observed by scanning electron microscope. According to our previous results these patterns show fractal character. The fractal dimension of a self-similar object can be calculated using the toolbox of fast wavelet-transform. A method is presented for analyzing the electron microscopic images of the heat treated samples by a fast wavelet-transform based algorithm using the filter coefficients of the two dimensional B-Spline functions. A connection between the dimension values of the patterns and the temperatures of the heat treating are shown.

Open Access: Yes

DOI: DOI not available

Evaluating 3D-Printed Polylactic Acid (PLA)-Reinforced Materials: Mechanical Performance and Chemical Stability in Concrete Mediums

Szabolcs Fischer Szabolcs Szalai Mykola Sysyn Dmytro Kurhan Hanna Csótár

Publication Name: Applied Sciences Switzerland

Publication Date: 2025-02-01

Volume: 15

Issue: 4

Page Range: Unknown

Description:

The optimization and evaluation of 3D-printed polylactic acid (PLA) materials for reinforcing concrete elements present a promising avenue for advancing sustainable construction methods. This study addresses the challenges associated with PLA’s dual nature—biodegradable yet mechanically limited for long-term applications—while leveraging its potential to enhance concrete reinforcement. The research identifies gaps in understanding PLA’s mechanical and chemical behavior in alkaline environments, particularly its interactions with concrete matrices. To bridge this gap, four distinct PLA variants (high-impact PLA, engineering PLA, electrical ESD PLA, and gypsum PLA) and ABS (acrylonitrile butadiene styrene) were subjected to dissolution tests in NaOH solutions (pH 12 and 12.55) and mechanical evaluation under three-point bending using digital image correlation (DIC) technology. Test specimens were prepared using optimized 3D printing strategies to ensure structural consistency and were embedded in concrete beams to analyze their reinforcement potential. Force–displacement data and GOM ARAMIS measurements revealed significant differences in mechanical responses, with peak loads ranging from 0.812 kN (high-impact PLA) to 1.021 kN (electrical ESD PLA). Notably, electrical ESD PLA exhibited post-failure load-bearing capacity, highlighting its reinforcement capability. Chemical dissolution tests revealed material-specific degradation patterns, with high-impact and Gypsum PLA showing accelerated surface changes and precipitation phenomena. Observations indicated white crystalline precipitates, likely lime (calcium hydroxide—Ca(OH)2), residue from the dissolution tests (sodium hydroxide—NaOH), or material-derived residues formed on and near PLA elements, suggesting potential chemical interactions. These findings underline the critical role of material selection and optimization in achieving effective PLA–concrete integration. While PLA’s environmental sustainability aligns with industry goals, its structural reliability under long-term exposure remains a challenge. The study concludes that electrical ESD PLA demonstrates the highest potential for application in reinforced concrete, provided its chemical stability is managed, as its peak value (1.021 kN) showed 25.7% higher load-bearing capacity than high-impact PLA (0.812 kN) and did not lose any of its structural stability in the dissolution tests. This work advances the understanding of PLA as a sustainable alternative in construction, offering insights for future material innovations and applications.

Open Access: Yes

DOI: 10.3390/app15042165

Comparison of square-wave and sinusoidal signal injection in sensorless polarity detection for PMSMs

Krisztian Enisz Istvan Szalay Denes Fodor

Publication Name: 2022 IEEE 20th International Power Electronics and Motion Control Conference Pemc 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 583-589

Description:

This paper compares the non-modulated square-wave voltage injection-based and sinusoidal voltage injection-based polarity detection methods applicable in sensorless PMSM drives. A quadratic PMSM model extension is presented that serves as a basis for the polarity detection techniques. The comparison includes the polarity-dependent current components produced by the injected signals, the design parameters related to the injected signal features and their effect on the probability of correct polarity detection. The performance differences and possible application areas are also discussed.

Open Access: Yes

DOI: 10.1109/PEMC51159.2022.9962876

Comparison between Ramberg-Osgood and Hardin-Drnevich soil models in Midas GTS NX

Majd Ahmad Richard P. Ray

Publication Name: Pollack Periodica

Publication Date: 2021-12-31

Volume: 16

Issue: 3

Page Range: 52-57

Description:

This paper studies the two widely used material models for predicting the dynamic behavior of soils, the Ramberg-Osgood and Hadrin-Drnevich models. Resonant column and torsional simple shear test results on dry sand were used to calibrate and evaluate the model built in the finite element software Midas GTS NX. Both material models are already implemented by the software. This study estimates the ability and efficiency of both soil models coupled with the Masing criteria to predict the behavior of soil when subjected to irregular loading patterns, (e.g., earthquakes), and measure the two most important dynamic properties, the dynamic shear modulus, and the damping ratio.

Open Access: Yes

DOI: 10.1556/606.2021.00353

Impact assessment between the city and the company reputation

Eva Happ Petra Jakab

Publication Name: Economics and Sociology

Publication Date: 2017-01-01

Volume: 10

Issue: 1

Page Range: 279-289

Description:

Since there’s a race for customers on the market of the consumer goods, cities of the 21st century compete for the inhabitants, tourists, investors and companies. In this competition the image and good reputation of the city, their conscious framing is one of the biggest feats of arms. The economy of the dynamically developing city, Győr is based after several system changes on the automobile industry. Its main leg is the important international company with headquarter in Győr since 1993, the Audi Hungaria Zrt. (AH). As results of the research analysing the marketing communicational print and film tools of the company and the city, the author tried to figure out, how the AH and the city interact in their corporate communication, in their reputation.

Open Access: Yes

DOI: 10.14254/2071-789X.2017/10-1/20