Search Everything

Tip: Search using "First Name + Last Name", e.g.
János Kiss instead of Kiss János.

Publications - 6374

The roles and possibilities of cultural and social relationship in the development of tourism in Subcarpathia

Orsolya Zsellér Ferenc Katona

Publication Name: Sisy 2008 6th International Symposium on Intelligent Systems and Informatics

Publication Date: 2008-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The Central-East European region have undergone a radical change in the last 15 years. All of the political changes in regime also aimed at stabilizing the economies of the countries. Methods and short- and long-term results were different but each countries of the region strongly focuses on developing the sector of tourism, as they all realize the development opportunities of the service industry. In Hungary and its neighbors it is a recognizable trend in tourism that popular places of destination got chosen based on cultural and social connections and past relationships. This trend is truly recognizable in the view of Transilvanian and Slovakian tourism, but Subcarpathia is not so popular in spite of its thermal spas and cultural heritage. ©2008 IEEE.

Open Access: Yes

DOI: 10.1109/SISY.2008.4664950

On wavelet based enhancing possibilities of fuzzy classification methods

Ferenc Lilik Brigita Sziova Levente Solecki Laszlo T. Koczy Szilvia Nagy

Publication Name: Journal of Automation Mobile Robotics and Intelligent Systems

Publication Date: 2020-01-01

Volume: 14

Issue: 2

Page Range: 32-41

Description:

If the antecedents of a fuzzy classification method are derived from pictures or measured data, it might have too many dimensions to handle. A classification scheme based on such data has to apply a careful selection or processing of the measured results: either a sampling, re-sampling is necessary. or the usage of functions, transfor-mations that reduce the long, high dimensional observed data vector or matrix into a single point or to a low number of points. Wavelet analysis can be useful in such cases in two ways. As the number of resulting points of the wavelet analysis is approximately half at each filters, a consecutive application of wavelet transform can compress the me-asurement data, thus reducing the dimensionality of the signal, i.e., the antecedent. An SHDSL telecommunication line evaluation is used to demonstrate this type of appli-cability, wavelets help in this case to overcome the pro-blem of a one dimensional signal sampling. In the case of using statistical functions, like mean, variance, gradient, edge density, Shannon or Rényi entropies for the extraction of the information from a picture or a measured data set, and they don not produce enough information for performing the classification well enough, one or two consecutive steps of wavelet analysis and applying the same functions for the thus resulting data can extend the number of antecedents, and can dis-till such parameters that were invisible for these functions in the original data set. We give two examples, two fuzzy classification schemes to show the improvement caused by wavelet analysis: a measured surface of a combustion engine cylinder and a colonoscopy picture. In the case of the first example the wear degree is to be deter-mine, in the case of the second one, the roundish polyp content of the picture. In the first case the applied statistical functions are Rényi entropy differences, the structural entropies, in the second case mean, standard deviation, Canny filtered edge density, gradients and the entropies. In all the examples stabilized KH rule interpolation was used to treat sparse rulebases.

Open Access: Yes

DOI: 10.14313/JAMRIS/2-2020/18

The role of digital twin in a cyber-physical production environment with prescriptive learning

No authors available

Publication Name: 17th International Conference on Modeling and Applied Simulation, MAS 2018

Publication Date: 2018-01-01

Volume:

Issue:

Page Range: 180-184

Description:

In this paper, we introduce the establishing of digital twins for cyber-physical production systems. Using industrial PLC network and a discrete event simulation tool a live and interactive connection is made between the physical and cyber world. Based on this achievement a modified proactive framework with prescriptive simulation will be presented.

Open Access: No

DOI: DOI not available

Detecting contours of pathological forms in colonoscopy images using a hybrid method

No authors available

Publication Name: Communication, Electromagnetics and Medical Application

Publication Date: 2018-01-01

Volume: 2018-October

Issue:

Page Range: 27-30

Description:

As colonoscopy is needed for screening colorectal polyps, and the first step of classification these polyps is recognizing them, it is worth to research, whether the colonoscopy databases could be improved by image processing and contour detection. In the following considerations a reflection filtering and background subtraction with large-sized mean filter is used as image preprocessing tools, and hybrid method for segmentation of pathological forms, based on template matching and active contour model as contour fitting for segmentation of the image is made.

Open Access: No

DOI: DOI not available

Relationship between knowledge sharing willingness and life goals of generation Z

No authors available

Publication Name: Proceedings of the European Conference on Knowledge Management, ECKM

Publication Date: 2018-01-01

Volume: 1

Issue:

Page Range: 84-94

Description:

The most critical area of knowledge management systems is the knowledge transfer and knowledge sharing. Several research results have emerged applying different approaches with a focus why employees and leaders of companies do not share their knowledge. Differences in social, cultural and individual values are in the background of willingness to share knowledge. Each of these attributes raise further questions. The main objective of this research is to examine the knowledge sharing willingness of Generation Z and consider the cultural determinants having impact on them. The research objective was to compare the results of Hungary and Slovakia. A questionnaire survey was conducted among the students of elementary and high schools. The electronic questionnaire included questions on a 5-point Likert scale, which were evaluated with a help of simple and complex statistical methods using the SPSS program. The study of life goals was based on the study of Aspiration Index in earlier research. The results show that cultural characteristics have significant influence on the characteristic features of behaviour related to trust, learning and knowledge. The national culture has impact on knowledge-friendly attitude of the school community. According to Aspiration Index Analysis, intrinsic goals gain more importance than extrincic goals. While getting older, the importance on intrinsic goals is increasing. The highly materialistic approach (preference of extrinsic goals) reduces the ability to coopearate. It increases competition and the self-interest, which are obstacles to knowledge-sharing. The ratio of goals (intrinsic/extrinsic) determines the decisions of young people (career choice), as well as those important skills that are relevant in the society and influence career choice e.g. cooperation, responsibility.

Open Access: No

DOI: DOI not available

The concept of labour migration from the perspective of Central and Eastern Europe

Laszlo Vasa Márta Konczos Szombathelyi Pál Bite

Publication Name: Economics and Sociology

Publication Date: 2020-01-01

Volume: 13

Issue: 1

Page Range: 197-216

Description:

The present paper overviews academic literature and statistics related to labour migration in part where it concerns Central and Eastern Europe (CEE), with special attention paid to Hungary. It aims to discover the main notions and results of European migration along with potential future trends. The paper, inter alia, focuses on the changing characteristics of host countries’ labour markets and demographic profiles. It has found that CEE’s involvement in intercontinental migration is expected to continue, and is driven by demographic and economic catalysts. Therefore, to address all related issues and map trends, not only an economic perspective is required. The conclusion is that preparation for integration of the newly arrived labour force is a permanent ongoing task for all employers and policymakers, as well as for the entire society.

Open Access: Yes

DOI: 10.14254/2071-789X.2020/13-1/13

Performance and analysis of unitized stacked load units under vibration simulation

Péter Böröcz Bence Molnar

Publication Name: Fme Transactions

Publication Date: 2020-01-01

Volume: 48

Issue: 1

Page Range: 96-101

Description:

The unitized loads are the major form of the packed product transportation in logistics, and in most of the cases the packages are fixed to the pallet with straps, stretch film or these combinations to avoid the possible damages of products inside. During transportation various physical events such as vibration affect the product-packaging system. The nature of this vibration between the layers of stacked unit is not fully researched and understood. This paper focuses on the different motion of the layers in the unitized load in the function of the fixing modes using laboratory vibration simulations. Therefore, multiple unitized loads were built from the same quality corrugated paper boxes in three layers with various fixing modes to measure each layer motion separately. To carry out the simulation procedure, acceleration and vibration intensity on each layer was observed under sine and random vibration simulation. The recorded data shows, which layer motion is the most disparate from the excited motion, and which fixing variant causes this difference.

Open Access: Yes

DOI: 10.5937/fmet2001096M

Analysis of early warning signal of land degradation risk based on time series of remote sensing data

Mohsen Hosseinalizadeh Hamid Reza Pourghasemi Narges Kariminejad Abdolhossein Boali Majid Movahedi Rad Vahid Shafaie

Publication Name: Bio Web of Conferences

Publication Date: 2024-08-23

Volume: 125

Issue: Unknown

Page Range: Unknown

Description:

This study explores the spatio-temporal dynamics of the Normalized Difference Vegetation Index (NDVI) to detect early signs of land degradation. Utilizing high-resolution NDVI data from the Google Earth Engine, spanning from 2004 to 2023 with a 30-meter resolution, this research analyzes monthly variations. To illustrate these dynamics, the study focuses on Sabzevar County, located in northeastern Iran, which extends over 7,217 km2and is approximately 220 kilometers distant from Mashhad. Validation of the NDVI data was performed using field observations from strategically located vegetation plots. One square meter plots were systematically established along 100-meter transects (10 transects in total), where the vegetation coverage in each plot was quantitatively assessed by experts. Comprehensive statistical analysis incorporated Kendall's tie test, alongside measurements of autocorrelation, coefficient of variation, and standard deviation, using R software to assess the trends and intensities of NDVI changes. The findings revealed a critical breakpoint in 2020, with increases in all three statistical indices—autocorrelation 0.82, coefficient of variation 0.65, and standard deviation 0.58—indicative of accelerating degradation prior to this year. Furthermore, the intensity of NDVI changes varied significantly across the study area, ranging from 0.05 in central and northern regions to 0.76 in the western parts. This research underscores the value of integrating field data with remote sensing technology to provide a robust analytical tool for early detection of land degradation. This method enables precise, timely assessment and proactive management of vulnerable ecosystems, particularly in arid regions.

Open Access: Yes

DOI: 10.1051/bioconf/202412501011

Comparison of fuzzy rule-based learning and inference systems

János Botzheim Krisztián Balázs Laszlo T. Koczy

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: 61-75

Description:

In our work we have compared various fuzzy rule based learning and inference systems. The base of the investigations was a modular system that we have implemented in C language. It contains several alternative versions of the two key elements of rule based learning - namely, the optimization algorithm and the inference method - which can be found in the literature. We obtained very different properties when combining these alternatives (changing the modules and connecting them) in all possible ways. The investigations determined the values of the quality measures (complexity and accuracy) of the obtained alternatives both analitically and experimentally where it was possible. Based on these quality measures the combinations have been ordered according to different aspects.

Open Access: Yes

DOI: DOI not available