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Publications - 6374

Empirical white noise processes and the subjective probabilistic approaches

Publication Name: Periodica Polytechnica Transportation Engineering

Publication Date: 2019-11-15

Volume: 48

Issue: 1

Page Range: 19-30

Description:

The paper discusses the identification of the empirical white noise processes generated by deterministic numerical algorithms. The introduced fuzzy-random complementary approach can identify the inner hidden correlational patterns of the empirical white noise process if the process has a real hidden structure of this kind. We have shown how the characteristics of auto-correlated white noise processes change as the order of autocorrelation increases. Although in this paper we rely on random number generators to get approximate white noise processes, in our upcoming research we are planning to turn the focus on physical white noise processes in order to validate our hypothesis.

Open Access: Yes

DOI: 10.3311/PPtr.15165

Optimizing asphalt foaming using neural network

Publication Name: Pollack Periodica

Publication Date: 2024-03-22

Volume: 19

Issue: 1

Page Range: 130-136

Description:

This study uses a three-layer backpropagation neural network combined with particle swarm optimization to control the foamed bitumen in cold recycling technology. The foaming process of bitumen is non-linear and depends on dynamic temperature. By developing a neural network model, this study effectively captures the complex relationships between temperature, water content, air pressure, and the expansion ratio and half-life of foamed bitumen. The integration of particle swarm optimization enhances the accuracy and convergence of the neural network model by optimizing the initial weights. This optimization process improves the model's ability to predict and control the quality of foamed bitumen accurately. It serves as a valuable tool for the rapid development of high-quality cold asphalt design.

Open Access: Yes

DOI: 10.1556/606.2023.00896

ECONOMIC DEVELOPMENT AND INCOME INEQUALITY: ROLE IN COUNTRY RESISTANCE TO COVID-19

Publication Name: Economics and Sociology

Publication Date: 2022-01-01

Volume: 15

Issue: 4

Page Range: 286-302

Description:

The pandemic of coronavirus disease (COVID-19) significantly slowed economic development and exacerbated income inequality. However, the scale of this destructive influence varies considerably among countries. Thus, the purpose of this study is to identify changes in causality patterns between economic development and income inequality due to COVID-19. To fulfill the task, an Index of Economic Development (IED) is developed using the multivariate analysis tools, Cronbach's alpha and the Fishburn formula. The Gini index was chosen as a core proxy of social inequality. The research covers a sample of 15 European countries. The period of the analysis is 2000-2021. A set of regression equations are constructed to determine the relationship between economic development and income inequality in the studied countries. A dummy variable is integrated into the equation to determine the impact of the coronavirus disease (COVID-19). Modeling is carried out on the panel data. The most acceptable functional form of the regression model is clarified based on the Hausman test. Modeling results make it possible to identify patterns of changes in the impact of income inequality on economic development, and vice versa. The change in their causality due to COVID-19 is substantiated.

Open Access: Yes

DOI: 10.14254/2071-789X.2022/15-4/14

The sociodemographic obstacles to participating in lifelong learning across Europe

Publication Name: Lifelong Learning in Europe Equity and Efficiency in the Balance

Publication Date: 2012-01-01

Volume: Unknown

Issue: Unknown

Page Range: 87-102

Description:

No description provided

Open Access: Yes

DOI: DOI not available

Interpretation of disruptive innovation in the era of smart cities of the fourth industrial revolution

Publication Name: Deturope

Publication Date: 2018-01-01

Volume: 10

Issue: 1

Page Range: 53-70

Description:

The exponential development of information technology and, in this context, the latest generation of open innovation systems result in revolutionary changes in almost every industry as well as in other areas of life. From the automotive industry to the energy sector and to tourism, newcomers emerge everywhere, building on the tools of disruptive innovation, which with earlier unprecedented speeds transform their previous industry power. The essence of the smart city approach is to put the latest tools of technological advancement in serving the social, economic and ecological sustainability of cities' lives for the inhabitants as well as for the enterprises of the city. Industry 4.0 is an imagined future, which in our opinion - in direct or indirect ways - would have a fundamental influence on smart cities and their environment and regions, given that their primary goal is to improve a country's competitiveness. In our study, we review the relevant literature on the definition of and approach to innovation as well as the smart city concept in this new revolutionary age, we demonstrate relevant correlations between the concepts of disruptive innovation, smart city and Industry 4.0.

Open Access: Yes

DOI: DOI not available

Sustainability implications of lateral wander modes for autonomous trucks

Publication Name: Discover Applied Sciences

Publication Date: 2024-03-01

Volume: 6

Issue: 3

Page Range: Unknown

Description:

Autonomous trucks can bring changes in transport infrastructure in terms of sustainability based on the type of lateral wander mode used. In this research, two lateral wander modes, a zero wander and uniform wander mode are analyzed based on their applicability for sustainability by analyzing the CO2 emissions occurred during pavements life cycle. Both lateral wander modes have been analyzed in terms of occurrence of fatigue damage by using finite element analysis in ABAQUS. The fatigue damage predictions have then been used for planning the maintenance interventions for both lateral wander modes. Life cycle analysis has been performed for the analysis period of 30 years for the pavement section of 10 km. Results show that zero wander mode generates more emissions as a result of premature fatigue damage under channelized loading. The uniform wander mode leads to 20% less emissions when compared to zero wander mode. Moreover, the use of full depth reclamation during pavement’s life cycle improves the CO2 emissions by 15% when compared to traditional removal and reconstruction methods. Therefore, the uniform wander mode is favorable for improvement of pavement sustainability in terms of CO2 emissions.

Open Access: Yes

DOI: 10.1007/s42452-024-05732-5

Comparative Methodology of Viscosity-Based Classification and Measurement Techniques for High-Temperature Behaviour of Paving Grade Bitumen

Publication Name: Applied Sciences Switzerland

Publication Date: 2026-03-01

Volume: 16

Issue: 5

Page Range: Unknown

Description:

The accurate determination of the rheological properties of road bitumen types is essential for the reliable prediction of long-term pavement behaviour. At 60 °C, dynamic viscosity is a key rheological parameter characterising the shear-dependent viscoelastic behaviour of bitumen in the temperature range relevant to in-service pavement loading. This study aims to compare different viscosity determination methods—approximations, capillary viscosity, Brookfield measurement and complex viscosity determined by a dynamic shear rheometer (DSR)—and to analyse their relationships with each other in order to find the best method for bitumen classification. Furthermore, the European and Australian bitumen classification standards are compared in terms of dynamic viscosity and penetration, according to which Australian bitumen types show more stable results, as the CV% is less than 10 percent. The study is based on the testing of Hungarian paving-grade bitumens (B50/70, B70/100) and Australian viscosity-graded bitumens (C170, C320), with the comparison of a total of 191 samples obtained from industrial production. The statistical evaluation of the results obtained with the different methods was based on Pearson correlation analysis and relative deviation analysis. The results indicate that the DSR measurement at 1.6 Hz shows the closest agreement with capillary viscosity, with a linear correlation coefficient of 0.95, and exhibits the strongest overall correlation with the other measurement approaches, whereas the Heukelom equation tends to overestimate the dynamic viscosity. The Brookfield method yielded higher viscosity values in all tests. The study highlights that the results of different measurement methods can only be compared under specific shear conditions, and a DSR-based approach can be more suitable for the introduction of a new European bitumen classification system.

Open Access: Yes

DOI: 10.3390/app16052208

Analyzing perspectives on lifestyle m-health apps: User and non-user insights

Publication Name: Effective Digital Marketing for Improving Society Behavior Toward Dei and Sdgs

Publication Date: 2023-11-14

Volume: Unknown

Issue: Unknown

Page Range: 48-67

Description:

The aim of the research is to explore the theoretical background and experiences of using lifestyle (LS) applications from a user perspective. The objective is to identify the reasons for non-usage. To accomplish these research goals, four focus group interviews were conducted with students studying recreation management in the autumn of 2022. The focus group research findings indicated that sports and fitness apps were the participants' most favoured. The evaluation of LS applications identified usefulness, features, accessibility, and accuracy as the most significant factors. More students reported positive effects on their physical and mental health; however, they viewed the applications and smart devices as auxiliary tools. The main reasons for non-use included personal, technical, and usability issues, as discovered by the authors. This chapter provides an in-depth insight into alterations in health practices, incentives and encounters with mobile devices and LS apps, contributing to the field of service literature.

Open Access: Yes

DOI: 10.4018/978-1-6684-8984-0.ch003

The Connections Between Social Media Platforms and Hybridity

Publication Name: Palgrave Studies in Digital Inequalities

Publication Date: 2025-01-01

Volume: Part F742

Issue: Unknown

Page Range: 105-123

Description:

The method of hybrid threats and the underlying conceptual framework have been widely investigated again since the second half of the 2000s, following Hezbollah’s tangible military success in Lebanon against the Israel Defense Forces in 2006. This was exacerbated by the activities of the Islamic State, which conducted a sophisticated and rather aggressive marketing campaign, and developed psychological warfare in cyberspace to a high level. Various operations in the context of the Ukrainian crisis and the Russian annexation of Crimea have once again brought hybrid warfare into the spotlight. The hybrid equipments are not new in history, but their success has been obviously enhanced by the development of technology, especially cyberspace and the wide range of opportunities cyberspace offers. Following the Russian–Ukrainian crisis, it has also become clear that hybrid instruments can not only appear as parts of a complex interstate conflict but that some of their elements can be used on their own. Clear examples of this include various disinformation campaigns. In this paper, the authors highlight, through a characterisation of hybrid conflicts, the extent to which the use of soft assets is an immanent part of contemporary military operations. The filtering practices and mechanisms, economic and market perceptions of social media platforms can be used to conduct disinformation campaigns.

Open Access: Yes

DOI: 10.1007/978-3-031-83479-0_6