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Publications - 6374

Breaking and Making Constitutional Rules: The Constitutional Effects of the Financial Crisis in Hungary

Zoltán Szente

Publication Name: Constitutions in the Global Financial Crisis A Comparative Analysis

Publication Date: 2016-01-01

Volume: Unknown

Issue: Unknown

Page Range: 245-262

Description:

No description provided

Open Access: Yes

DOI: 10.4324/9781315573571-14

Expert Twin: A Digital Twin with an Integrated Fuzzy-Based Decision-Making Module

Szabolcs Fischer Gergő Monek

Publication Name: Decision Making Applications in Management and Engineering

Publication Date: 2025-04-01

Volume: 8

Issue: 1

Page Range: 1-21

Description:

Digitalization and the application of modern Industry 4.0 solutions are becoming increasingly important to remain competitive as product ranges expand and global supply chains grow. This paper presents a new Digital Twin framework to achieve robustness in manufacturing process optimization and enhance the efficiency of decision support. Most digital twins in the literature synchronously represent the real system without any control elements despite the bidirectional data link. The proposed approach combines the advantages of traditional process simulations with a real-time communication and data acquisition method using programmable logic controllers designed to control automated systems. In addition, it complements this by utilizing human experience and expertise in modeling using Fuzzy Logic to create a control-enabled digital twin system. The resulting "Expert Twin" system reduces the reaction time of the production to unexpected events and increases the efficiency of decision support; it generates and selects alternatives, therefore creating smart manufacturing. The Expert Twin framework was integrated, tested, and validated on an automated production sample system in a laboratory environment. In the experimental scenarios carried out, the method production increased production line utility by up to 28% and the number of re-schedules can be halved.

Open Access: Yes

DOI: 10.31181/dmame8120251181

Extended fuzzy signature based model for qualification of residential buildings

Adam Bukovics Gergő Fogarasi Laszlo T. Koczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2020-01-01

Volume: 819

Issue: Unknown

Page Range: 91-97

Description:

Residential buildings can be qualified and ranked based on many viewpoints. For the intervening decision-supporting survey of old residential buildings in the course of our former researches we have created a fuzzy signature based model which defines status evaluation and ranking of buildings on the basis of the condition of load-bearing structures and other building structures. We have extended and changed this model in a way so that it should take into account other viewpoints, too, which, in addition to the load bearing viewpoints strongly influence the manner of intervening. Since in addition to the importance of the given structure the relevance of the building structures of residential buildings are determined also by their quantities and other features, in our case it was necessary to determine relative and absolute relevance weights. We use a structure of fuzzy signature with variable aggregations, where the definition of aggregations is made by parameters, and the value of parameters are changing depending on the specific application, which follow the changes of relevance of given subtrees. The developed method is examined on the basis of a database for which we were used status evaluating expert reports relating to real stock of residential buildings.

Open Access: Yes

DOI: 10.1007/978-3-030-16024-1_12

Artificial intelligence, disruption of financial markets and natural resources economy in the digital era

Gagan Deep Sharma Seyfettin Erdoğan Ayfer Gedikli Shawkat Hammoudeh

Publication Name: Resources Policy

Publication Date: 2024-05-01

Volume: 92

Issue: Unknown

Page Range: Unknown

Description:

No description provided

Open Access: Yes

DOI: 10.1016/j.resourpol.2024.104953

Applying NeuralODE-based Cardiovascular Model Identification for Experimental Data Analysis

Balázs Benyó Ákos Antal J. Geoffrey Chase Bálint Szabó Katalin Kovács Ákos Szlávecz

Publication Name: Saci 2024 18th IEEE International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 437-442

Description:

Recent model-based diagnostic methods have been found promising to provide non-invasive perfusion markers to assess the efficacy of fluid therapy, the most common treatment method for acute circulatory failure (ACF). The development of these model-based diagnostic methods requires the identification of the central arterial pressure curve based on the femoral arterial pressure. This current study presents improvements of the previously suggested NeuralODE-based identification method by suggesting the use of a physiologically interpretable parameter set of the Tube-load model-based transfer function for the physiological system analysis and suggesting a calculation method decreasing the measurement error-caused uncertainty of the identification parameter, called pulse transfer time.

Open Access: Yes

DOI: 10.1109/SACI60582.2024.10619737

Attitudes towards sustainable mobility technologies: Insights from electric vehicle adoption

Boglárka Eisingerné Balassa Réka Koteczki Boglárka Eisinger Balassa

Publication Name: Social Sciences and Humanities Open

Publication Date: 2026-06-01

Volume: 13

Issue: Unknown

Page Range: Unknown

Description:

The uptake of electric vehicles (EVs) plays a key role in the development of environmentally friendly transport solutions. This study explores factors influencing EV adoption in Hungary, with a particular focus on infrastructural and digital elements. Building on the theoretical foundations of technology acceptance models, the research shifts attention from individual psychological variables to objectively measurable external factors. The rationale for focusing on Hungary lies in its status as a post-communist, structurally constrained country with uneven access to digital services and public charging infrastructure. A nationally representative questionnaire survey of 2000 respondents was conducted to examine the intention to purchase EVs and its predictors. Regression results show that the availability of charging stations has a significant but weak effect on purchase intention (β = 0.145, p < 0.001, R2 = 2.1–2.5 %). Mobile internet coverage showed minimal impact (β = 0.087, p < 0.001, R2 = 0.8–1.4 %). Traffic congestion was positively associated with EV purchase intention (β = 0.168, p < 0.001, R2 = 2.9–3.3 %), indicating that residents of congested urban areas show greater interest in EVs. The findings suggest that while infrastructure matters, it alone is insufficient. An integrated strategy combining public incentives, infrastructure investment, and consumer education is needed to foster EV uptake. For policymakers and automotive stakeholders, the results highlight the importance of cost reduction, supportive regulation, and long-term sustainability benefits in promoting EV adoption in transition economies.

Open Access: Yes

DOI: 10.1016/j.ssaho.2025.102379

The Impact of Digital Inequality on IT Identity in the Light of Inequalities in Internet Access

Joseph Squillace Richard Nemeth Justice Cappella Roland Kelemen

Publication Name: Elte Law Journal

Publication Date: 2024-01-01

Volume: 2024

Issue: 2

Page Range: 173-186

Description:

This article investigates the relationship between the United Nations Sustainable Development Goals (SDG) and Internet access, focusing on how digital connectivity influences the achievement of these global objectives. This research examines digital inequalities in access, usage, skills and outcomes through a mixed-methods approach, including statistical analysis and case studies. The findings indicate a strong correlation between Internet access and progression towards the European sustainability goals related to education quality, gender equality and industry innovation. In particular, it can be shown that where Internet access indicators are lower, digital literacy and IT identity scores are also lower for society as a whole, impacting both the quality of education and social mobility, while simultaneously reducing the economic competitiveness of the respective state. We can also see that these societies have a more patriarchal approach, negatively impacting the social status of women (although the COVID-19 epidemic negatively impacted social resilience, too) while further harming progress towards the Sustainable Development Goal associated with education. Significant disparities are also identified, particularly affecting rural areas, women, children and marginalised communities. The article futher explores IT identity, revealing that a strong IT identity enhances digital inclusion and empowerment. Article results highlight the necessity of addressing digital inequalities to ensure the equitable distribution of digital benefits and advocating for Internet access as a fundamental right essential to achieving global sustainability and Internet equality.

Open Access: Yes

DOI: 10.54148/ELTELJ.2024.2.173

General formulation for the resilience of processing systems

Ákos Orosz Jean Pimentel Ferenc Friedler

Publication Name: Chemical Engineering Transactions

Publication Date: 2020-01-01

Volume: 81

Issue: Unknown

Page Range: 859-864

Description:

Resilience is one of the key indicators of processing systems, it expresses the behaviour of the system as a result of expected or unexpected failures. This indicator can be essential during systems design and operation, especially, when the system is part of or related to a critical infrastructure. The numerous contributions on systems resilience are related to a wide range of applications, however, there is no general uniform framework for resilience evaluation. For instance, most studies examine resilience as a function of the continuous parameters of the system, usually avoiding the influence of its structure. In the current work, a general framework for determining the structural resilience of processing systems is presented. This framework derives on formulas that satisfy the requirements of the original definition of resilience. The formerly developed P-graph framework is the mathematical basis of the procedure for determining the indicator. The resilience of the system is calculated as a function of the operative subprocesses for all possible failures and is a normalized indicator on [0, 1]. The examination of two industrial case studies shows that the proposed resilience can be an appropriate indicator to be considered in process design.

Open Access: Yes

DOI: 10.3303/CET2081144

Structural analysis of titanium alloys

Ibolya Zsoldos K. Kulcsár J. Kónya

Publication Name: Iop Conference Series Materials Science and Engineering

Publication Date: 2018-10-18

Volume: 426

Issue: 1

Page Range: Unknown

Description:

The material of choice for dental implant devices is titanium alloy (Ti-6Al-4V). In this study, the two fundamental manufacturing technologies of dental implant prostheses are compared. Titanium alloy specimens and models were created with conventional precision casting and with modern, innovative additive manufacturing technologies. Hereupon, the microscopic analysis of specimen cut-offs was carried out. We were focusing on fundamental microstructural differences. The thus-created specimen models were subjected to tensile tests for comparative examination.

Open Access: Yes

DOI: 10.1088/1757-899X/426/1/012029