Search in Publications

Found 6374 publications

Current Issues in Effective Learning: Methodological and Technological Challenges and Opportunities Based on Modern ICT and Artificial Intelligence

Eniko Nagy Gyorgy Molnar

Publication Name: Eai Springer Innovations in Communication and Computing

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 1-11

Description:

Today, the discourse around the current issues of effective learning is increasingly centred on modern information and communication technologies (ICT) and artificial intelligence (AI)-based methodological and technological solutions. ICT tools, such as online learning platforms, virtual classrooms and digital textbooks, have significantly transformed the educational environment, providing opportunities for personalised learning and remote access. In addition, AI-based applications, such as student performance analysis and curriculum customisation, are opening up new horizons in education. AI can create adaptive learning systems that continuously adapt to the needs and progress of students, thus increasing the effectiveness of learning. But these new technologies and methods also bring with them a number of challenges. One major challenge is digital inequality, as not all students have access to ICT tools and the Internet. Furthermore, educators need to continuously develop their digital competences to keep up with technological developments and effectively integrate new methods into teaching. There are also ethical issues, in particular data protection and student privacy. New opportunities include the use of learning analytics to help educators better understand learning processes and identify areas where students need help. Interactive and gamified learning materials developed with the help of AI can make learning more motivating and enjoyable, thereby increasing student engagement. Overall, the integration of modern ICT and AI-based methods and technologies into education offers significant benefits, but their successful implementation requires adequate infrastructural support, continuous training for teachers and digital access for students. This article provides a brief summary of all these phenomena, trends, opportunities and good practices.

Open Access: Yes

DOI: 10.1007/978-3-031-81261-3_1

Constructability-based design approach for steel structures: From truss beams to real-world inspired industrial buildings

Marco Domaneschi Angelo Aloisio Majid Movahedi Rad Raffaele Cucuzza

Publication Name: Automation in Construction

Publication Date: 2024-10-01

Volume: 166

Issue: Unknown

Page Range: Unknown

Description:

This paper presents an optimization framework for steel trusses. The authors implemented a penalty-based approach to optimise the size, shape, and topology based on a dynamic grouping strategy to address the constructability challenges. The main contribution of the paper is the use of damped exponential constructability penalties. This approach ensures optimal designs by balancing structural complexity, through standardization in design, and minimizing the total number of members and variety of sections, with the overall structural cost. The paper also presents a detailed analysis that underscores the sensitivity of the optimization convergence to the algorithmic hyperparameters, emphasizing the role of cross-section assignments and stabilization of truss piece counts. The optimization framework is validated on a trussed roof structure based on the findings from the single truss optimization. The best truss topology proved to be the Howe truss configuration, highlighting its efficiency in meeting the defined objective function.

Open Access: Yes

DOI: 10.1016/j.autcon.2024.105630

Cognitive psychological structure of education and research in geotechnics

P. Scharle

Publication Name: Proceedings of the 16th International Conference on Soil Mechanics and Geotechnical Engineering Geotechnology in Harmony with the Global Environment

Publication Date: 2005-12-01

Volume: 4

Issue: Unknown

Page Range: 2859-2862

Description:

Post secondary education provides an introduction to models, and develops model selection and application skills. Recent developments in cognitive psychology offer good possibilities for differentiating between levels of knowledge. It is prudent to define four levels of preparation in the technical-engineering professions, particularly in their relationship to models. As a conclusion, it turns out that professional geotechnicians are required to have MSc level of competency. The approach also yields answers to some debated questions of modelling and solving geotechnical problems in the framework of engineering mechanics.

Open Access: Yes

DOI: DOI not available

Model-based control algorithm development of induction machines by using a well-defined model architecture and rapid control prototyping

Krisztian Horvath Marton Kuslits Szilárd Lovas

Publication Name: Electrical Engineering

Publication Date: 2020-09-01

Volume: 102

Issue: 3

Page Range: 1103-1116

Description:

This paper presents a new control algorithm development approach for induction machines by using model-based design and a systematically built model architecture implemented in MATLAB/Simulink. The model architecture follows a three-layer structure, and it is developed according to the principle of functional decomposition and the needs of reusability and expandability. The first model layer consists of elementary model and algorithm components, the second contains a machine simulation model and a field-oriented control (FOC) algorithm, built upon the first layer’s components, and the third realises the executable models by connecting the models and algorithms defined in the second layer. Furthermore, rapid control prototyping (RCP) is discussed as an experimental validation method, and an experimental setup with RCP is also introduced. The application of the presented methods is demonstrated by simulations as well as by experiments, and by using a control algorithm based on FOC as an example.

Open Access: Yes

DOI: 10.1007/s00202-020-00935-6

New alternatives to private car transport for different powertrains in Hungary - Trends in the petrol, diesel and electric drive solutions

Eniko Nagy Karl Eva Mark Viktor Katai Gyorgy Molnar

Publication Name: Ines 2025 29th IEEE International Conference on Intelligent Engineering Systems 2025 Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 285-289

Description:

As time passes and technology becomes more impressive, more ways exist to process, store and visualise data, contributing to data analytics' power. The most common process is to collect data from different sources and store it in some file format. Some process then passes the acquired information to a data warehouse where the data can be stored and queried. Once the right data and tables have been selected, they are imported and exported to a visualisation system, where reports can be generated from the available information. All that remains is to create a custom website where the reports can be displayed. In this paper, we work with data related to petrol, diesel, and electric vehicles. The dataset was synthetically generated using a simulation model developed by the author to reflect realistic automotive scenarios. An ETL process will import the data into the data warehouse, which will be stored for subsequent analysis. The information is then exported from the data warehouse to be processed by the visualisation program and used to make statements. This process aims to demonstrate how the values derived from the generated data transition from their raw form to a visualised state. Given the current global transformation of the automotive industry, this topic was selected due to its relevance and the widespread impact of these changes. The study aims to generate various analytical statements, such as the average engine power across different car brands or the average fuel consumption per 100 kilometres for specific vehicle types.

Open Access: Yes

DOI: 10.1109/INES67149.2025.11078211

Blockchain as a driver for smart city development: Application fields and a comprehensive research agenda

Andreas Strebinger Horst Treiblmaier Abderahman Rejeb

Publication Name: Smart Cities

Publication Date: 2020-09-01

Volume: 3

Issue: 3

Page Range: 853-872

Description:

The term “Smart City” denotes a comprehensive concept to alleviate pending problems of modern urban areas which have developed into an important work field for practitioners and scholars alike. However, the question remains as to how cities can become “smart”. The application of information technology is generally considered a key driver in the “smartization” of cities. Detailed frameworks and procedures are therefore needed to guide, operationalize, and measure the implementation process as well as the impact of the respective technologies. In this paper, we discuss blockchain technology, a novel driver of technological transformation that comprises a multitude of underlying technologies and protocols, and its potential impact on smart cities. We specifically address the question of how blockchain technology may benefit the development of urban areas. Based on a comprehensive literature review, we present a framework and research propositions. We identify nine application fields of blockchain technology in the smartization of cities: (1) healthcare, (2) logistics and supply chains, (3) mobility, (4) energy, (5) administration and services, (6) e-voting, (7) factory, (8) home and (9) education. We discuss current developments in these fields, illustrate how they are affected by blockchain technology and derive propositions to guide future research endeavors.

Open Access: Yes

DOI: 10.3390/smartcities3030044

Generational differences and patterns in climate anxiety symptoms among adolescents and young adults in Budapest, Hungary

András Szeberényi

Publication Name: Discover Sustainability

Publication Date: 2026-12-01

Volume: 7

Issue: 1

Page Range: Unknown

Description:

A growing number of young people now perceive climate change as an existential threat rather than a distant environmental issue. This study investigates the relationship between environmental awareness and symptoms of climate anxiety among two generational groups – Generation Z (aged 28–29) and Generation Alpha (aged 14–15) – residing in Budapest, and fills an empirical gap in the Hungarian context regarding how urban youth segments process ecological distress. Data were collected via an anonymous online questionnaire, distributed between January 12 and March 31, 2025, through targeted social media groups. Screening questions limited participation to the target age groups. The survey covered environmental awareness, sustainable behaviors, and psychological and physical symptoms, resulting in 701 valid responses. Four hypotheses were tested using non-parametric statistical analyses, primarily Spearman’s rank correlation and Mann–Whitney U tests. All statistical analyses were conducted with SPSS software version 27, and selected calculations were cross-validated using the WolframAlpha analytics tool. The findings indicate that climate-related distress is a multidimensional phenomenon shaped by environmental attitudes, sex, and generational context. Among young adult males in Generation Z, higher levels of environmental engagement and knowledge were associated with a reduced sense of helplessness, suggesting that taking action can serve as a psychological protective factor. Sex-based comparisons revealed that female participants reported significantly higher levels of clinical symptoms, particularly anxiety, irritability, and nervousness. In contrast, male participants were more likely to report physical manifestations such as muscle pain. Generation Z females exhibited higher levels of apathy, whereas Generation Alpha females reported more acute nervousness. The study also highlights the critical link between mental health and environmental action, contributing to the broader framework of the United Nations Sustainable Development Goals (SDGs). These results underscore the importance of age- and sex-sensitive approaches when addressing the psychological impact of the climate crisis. The research emphasizes that promoting mental health (SDG 3) is viewed as an essential catalyst for effective climate action (SDG 13).

Open Access: Yes

DOI: 10.1007/s43621-026-02666-3

Energy-efficient Operation of GSM-connected Infrared Rodent Sensor

Gábor Paller Gábor Élo

Publication Name: Sensornets 2016 Proceedings of the 5th International Confererence on Sensor Networks

Publication Date: 2016-01-01

Volume: Unknown

Issue: Unknown

Page Range: 37-44

Description:

Camera sensors have been deployed in the agriculture for various use cases. Most of the applications tried to infer the health and development of the plants based on image data in different wavelength domains. In this paper, we present our research of rodent population estimation with infrared camera sensors. The usual camera sensor applications in the agricultural domain are quite simple from the sensor architecture point of view as the environment rarely changes. Image capture/transmission at preconfigured moments is usually enough. Rodents move quickly so the sensor must be able to capture images with low capture time interval. As the data link to the server backend is relatively slow, this fast capture rate may require image processing capability in the sensor. The paper analyzes the effects of such an image processing capability, in particular the power consumption trade-offs. Inadequate power management support of the selected embedded Linux platforms is identified as a problem and proposals are made for improvement.

Open Access: Yes

DOI: 10.5220/0005628500370044

Historical origin of the fine structure constant subtilis structurae constan unit s1 part i. St. Stephen's crowning achievement

Peter Varlaki Ĺaszĺo T. Ḱoczy Imre J. Rudas

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2010-05-31

Volume: 7

Issue: 1

Page Range: 119-157

Description:

This paper deals with the historical origin of the primordial image of the fine structure constant (FSC) and the number 137 as the Self's own number archetype, which plays a central role in the poetic-hermeneutic system of the Holy Crown of Hungary. We intend to show that the allegorical and symbolical images which are observed as the manifestation of unconscious and interpreted and analyzed in the Pauli-Jung collaboration have a lengthy synchronistic relationship with the "archetypal model" of the FSC found in the marvellous enamel pictures of St. Stephen's Crown.

Open Access: Yes

DOI: DOI not available