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Publications - 6374

The role of demographic and socio-economic characteristics in affecting subjective well-being. The case of Hungary

Péter Róbert

Publication Name: Studies of Transition States and Societies

Publication Date: 2019-01-01

Volume: 11

Issue: 2

Page Range: 3-22

Description:

This paper investigates the influence of various demographic and social factors on the perception of well-being in Hungary. For the purpose of the analysis, various measures of subjective well-being have been developed as dependent variables using both narrower and broader sets of items, and a principal factor analysis was applied to construct normalised indices. Demographic predictors include gender, age, family composition, residence; sociological predictors contain education, labour market position, income and wealth as well as questions on health and religiosity. Hungary is an interesting case to study, given its well-known strong deficit in subjective wellbeing. The phenomenon is particularly motivating in light of the official propaganda from the governing political authorities on the country's economic and social progress. A low level of subjective well-being is confirmed again, partly in international comparisons, partly from the perspective of temporal change. Furthermore, a detailed analysis of the data reveals that Hungarians seem to be markedly divided into higher and lower assessments of well-being on the basis of age, residence and social status. Regression models prove that material conditions have the strongest impact on subjective well-being, even if controlled for education and labour market position. The results concerning subjective-wellbeing raise questions for public policy in Hungary.

Open Access: Yes

DOI: DOI not available

New energy management and hybrid energy storage for metro railcar

No authors available

Publication Name: 26th Electric Vehicle Symposium 2012, EVS 2012

Publication Date: 2012-12-01

Volume: 4

Issue:

Page Range: 2734-2742

Description:

This paper focuses on the use of model and simulation one of renewable energy. In this paper the results of simulation models by Matlab-Simulink for an urban-metro railcar and some newer methods for reducing the need value of capacitance for energy storage in cooperation by a Li-ion battery are presented. In this research was been investigated the Li-ion battery and the supercapacitor as hybrid energy storing device for the same task and its effectivness under operation of a suitable energy control system. The available decreasing ratio of the needed energy storage at case SCAP is 25 % to 40 % with this improved energy control method, which are significant values as decreasing in volume, mass and price. Mass reduction of our hybrid storage system is significant, about 60%.

Open Access: No

DOI: DOI not available

The application of fuzzy connectives and inverse operations on R-fuzzy descriptors of the static conditions of residential buildings

Adam Bukovics Laszlo T. Koczy

Publication Name: Cinti 2012 13th IEEE International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 433-437

Description:

A considerable part of the current stock of residential buildings in Budapest was built at the end of the 19th and in the beginning of the 20th century (Figure 1). In the course of our research work a great many detailed technical and static expert reports on residential buildings in Budapest built in this time period were available. On the basis of these expert reports a database was created for the purpose of analysis of the structure of the buildings and of building diagnostics (Figure 2), and in order to prepare a fuzzy signautre-based status defining and ranking model. The database was created by processing a reliable set of data, which, in this way is a large representative pattern, the analysis whereof enables us to draw scientific conclusions. So far nobody has processed the expert reports from the scientific point of view, so no synthetised results were available to date. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/CINTI.2012.6496805

Modeling the intuitive decision-maker’s mindset

Beatrix Bókayné Andráskó Jolán Velencei Ágnes Szeghegyi Zoltán Baracskai

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2019-01-01

Volume: 16

Issue: 3

Page Range: 227-240

Description:

Today, the term, Working Memory, is closely associated with intelligence. We propose that in addition to improving and speeding-up analysis, Artificial Intelligence (AI) can also be useful as a supplement to Working Memory. It is generally accepted that working memory plays a crucial role in cognition and models by computers, can help us understand the human mind. Building an artificial working memory can bring further benefits; for example, it can separate retrieval from reasoning and therefore, can acquire new concepts. The aim of this research is to solve the capacity shortage problem of Working Memory, by using AI as a supplement. In order to develop our argument, we characterize the ID3 algorithm as a way of looking for a consistent solution in the existing Case Based Graph; as the ID3 algorithm builds it from an empty graph, to an increasingly complex one. Methodologically, our study is based on observation of several Digital Natives (DNs) playing different games at Mobilis Interactive Exhibition Center in Gyor, Hungary. The aim is to explore the behavior of the DN generation. By identifying the different mindset patterns of DNs, we will be able to observe how different DNs can be facilitated, to enjoy the games, rather than being bored, anxious or even, becoming addicted.

Open Access: Yes

DOI: 10.12700/APH.16.3.2019.3.12

Machine learning models for the elastic-critical buckling moment of sinusoidal corrugated web beam

Andreas Müller Nurullah Bektaş G. Hajdú

Publication Name: Results in Engineering

Publication Date: 2024-09-01

Volume: 23

Issue: Unknown

Page Range: Unknown

Description:

The torsional stiffness of I-beams with sinusoidal corrugated web is higher than that of flat web beams and the accuracy of the available hand-calculation methods to determine the elastic critical lateral-torsional buckling moment depends on the geometrical parameters of the beam and the web corrugation. This study proposes different machine learning models to determine the elastic lateral-torsional buckling moments of corrugated web beams. Various machine-learning algorithms such as Decision Tree, Random Forests, Gradient Boosting, Support Vector Regression, Catboost, and Deep Neural Network were employed to develop and train for predicting the elastic-critical lateral-torsional buckling moments of I-beams with corrugated web. An extensive dataset with 2250 pieces was constructed using linear buckling analyses on full-shell finite element models to determine the elastic-critical buckling moment of simply supported beams with sinusoidal web corrugation. Based on the statistical parameters of the predicted and test data, the accuracy and safety assessment of the different machine learning models are examined. The accuracy of the available hand-calculation methods is also investigated. The results of the parametric study showed that the overall performance of the different machine learning models is promising, although, not all are directly suited for the described problem.

Open Access: Yes

DOI: 10.1016/j.rineng.2024.102371

Calibration of Two Novel Segmentation Approaches by Synthetic Road Vehicle Vibrations

Peter Foldesi László Róbert Hári

Publication Name: Tehnicki Vjesnik

Publication Date: 2024-01-01

Volume: 31

Issue: 6

Page Range: 2094-2101

Description:

Simulation of non-stationary random vibrations has motivated Packaging vibration testing for decades. Often, an event-detection algorithm decomposes Road vehicle vibrations when analyzing the recorded series. However, heuristics and subjective justifications are often in the papers, whereby the foremost concern is the validation of the non-stationarity of simulated signals. Furthermore, if a changepoint detection is inherent to the procedure, it is recommended to calibrate the detector. The current paper concerns the Receiver operating characteristics (ROC) of two novel algorithms and provides contextual support by Segment length distributions (SLD).

Open Access: Yes

DOI: 10.17559/TV-20220114115149

Analysis of the WRC-23 Agenda Item Concerning the Future Use of the 470-694 MHz Band in Europe

Péter Vári Hussein Taha Szilvia Nagy

Publication Name: Infocommunications Journal

Publication Date: 2023-01-01

Volume: 15

Issue: 3

Page Range: 2-10

Description:

The upcoming World Radiocommunication Conference 2023 (WRC-23), according to the preliminary agenda item 1.5, will decide the long-term use of the 470-694 MHz band in International Telecommunication Union Region 1 and consider regulatory actions for the rest of the decade. This article attempts to inform the debate on the future use of spectrum in the 470- 694 MHz band and the status of broadcasting services at the European level and in many individual member states. This article highlights the role WRCs played by allocation of the previous digital dividend bands for mobile services. It provides an overview of the most recent trends and developments of existing services in the sub-700 MHz band. The article also explores and analyzes options for future use of the 470-694 MHz band in Europe and discusses the benefits and implications of adopting each option. Based on this analysis, it is recommended to introduce a secondary allocation to mobile service in the downlink-only mode alongside traditional broadcasting services in the sub-700 MHz band at the upcoming WRC-23.

Open Access: Yes

DOI: 10.36244/ICJ.2023.3.1

Positive Motherhood at Work: Factors Supporting a Sustainable Workforce Through Reintegration After Returning from Maternity Leave

Márta Konczos Szombathelyi Petra Kinga Kézai Nikolett Szabó-Cseszneki

Publication Name: International Journal of Innovative Research and Scientific Studies

Publication Date: 2025-03-04

Volume: 8

Issue: 2

Page Range: 3789-3796

Description:

This study explores sustainability through the successful reintegration of women into the workforce following maternity leave. It aims to identify the key factors that contribute to positive motherhood at work and their role in building a sustainable workforce. The research is based on a systematic literature review using Scopus-indexed sources from 2006 to 2024, focusing on "maternity leave" and "wellbeing." The study applies a grounded theory approach to analyze existing organizational policies and workplace practices that influence female employees' reintegration. The findings highlight the necessity of a supportive work environment that facilitates the balance between career and motherhood. Key factors affecting reintegration include organizational policies, workplace culture, and supervisor support. The study also identifies gaps in existing research and the need for further empirical studies on reintegration practices in different industries and countries. Successful reintegration of women after maternity leave is essential for fostering a resilient and inclusive workforce. Organizations that implement supportive measures enhance employee retention, satisfaction, and overall workplace sustainability. The study's insights will inform primary research on reintegration policies in commercial banks across multiple countries. The findings will serve as a foundation for developing a model and best practices to improve the reintegration of women post-maternity leave. This research has broader implications for policymakers, HR professionals, and organizations aiming to promote gender equality and workforce sustainability.

Open Access: Yes

DOI: 10.53894/ijirss.v8i2.6108

Displacement-based failure analysis of metal matrix syntactic foam

Ibolya Zsoldos István Kozma Dóra Harangozó Hajnalka Hargitai

Publication Name: Wit Transactions on Engineering Sciences

Publication Date: 2019-01-01

Volume: 124

Issue: Unknown

Page Range: 161-173

Description:

Metal matrix syntactic foams are being used more and more widely thanks to their relative density as well as their perfect energy-absorbing characteristics. Multiple studies concern the economical production of these materials – particularly, how energy absorption as a physical characteristic can be increased. Many studies examined the effects of material choice as well as cell size and wall thickness of reinforcing materials on compressive strength. However, there are only estimated models about descriptions concerning decaying processes of samples from different material composition and geometrical variation. In this study, we introduced an “in situ” examination in order to model the decaying process. We upsetted aluminium-ceramic composite foams cyclically. We reconstructed the geometry of the sample with microcomputed tomography (μCT) technology and digital image processing at certain specified points of the compression test. During the complete decaying process, the process was evaluated with volume change and number of broken hollow particles, as well as elementary particle displacements, orientation and sphericity of the reinforced material.

Open Access: Yes

DOI: 10.2495/MC190161