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Publications - 6374

Environmental impact of increasing car traffic on suburban road section around Győr

Tamás Hardi Farkas Orsolya Hegyiné Bolla Katalin

Publication Name: Teruleti Statisztika

Publication Date: 2021-01-01

Volume: 61

Issue: 4

Page Range: 503-526

Description:

Suburbanisation is one of the most significanturban development trends in Europe andeven the world today. It affects not only largecities and metropolises, but also smallerurban areas. Among its many environmentalimpacts, the most notable is the increase intraffic, which not only leads to morecongestion and accidents, but also to asignificant increase in emissions of pollutantsfrom transport in peri-urban areas. It is truethat the scale of suburbanisation in smalleragglomerations is much smaller than inmetropolitan areas, but the populationmoving out of the cities is making greater useof private transport for commuting. UsingCOPERT (COmputer Programme tocalculate Emissions from Road Transport)software developed in collaboration with theEuropean Environment Agency (EEA), theJoint Research Centre (JRC), Aristotle Universityof Thessaloniki and EMISIA SA, theauthors estimated how emissions from a roadconnecting a group of settlements in the Szigetközregion (the Dunaszeg-Győrújfalusection of road 1401) in the vicinity of Győrchanged between 1995 and 2018. Thesesettlements are among the fastest growingsuburban villages in Hungary, and previousempirical studies have shown that theincrease in the number of vehicles can be linkedto the increase in the number of peoplemoving out of the city. As a result, thecomposition and nature of traffic-based airpollution near the city is changing rapidly

Open Access: Yes

DOI: 10.15196/TS610404

Possible Control Methods for Skid-Steer Mobile Robot Platforms

Áron Ballagi Csaba Hajdu Rudolf Krecht

Publication Name: Gpmc 2020 2nd IEEE International Conference on Gridding and Polytope Based Modeling and Control Proceedings

Publication Date: 2020-11-19

Volume: Unknown

Issue: Unknown

Page Range: 31-34

Description:

The aim of this paper is to collect and analyze the possible low-level control methods for skid-steer mobile robot platforms. Most low-level control methods for mobile robots rely on the kinematic or dynamic model of the controlled robot platform. However, in case of skid-steer mobile robots, a precise kinematic or dynamic model might be too costly to be implemented for a control method. Thus, it has an outstanding importance to find a control method which can be precise enough even with a simplified kinematic or dynamic model. The overall control scheme of skid-steer robots is also discussed, along with issues regarding the kinematic and dynamic modelling of the mentioned platforms.

Open Access: Yes

DOI: 10.1109/GPMC50267.2020.9333814

Oceania’s 5G Multi-Tier Fixed Wireless Access Link’s Long-Term Resilience and Feasibility Analysis

Satyanand Singh Joanna Rosak-Szyrocka Istvan Drotar Xavier Fernando

Publication Name: Future Internet

Publication Date: 2023-10-01

Volume: 15

Issue: 10

Page Range: Unknown

Description:

Information and communications technologies play a vital role in achieving the Sustainable Development Goals (SDGs) and bridging the gap between developed and developing countries. However, various socioeconomic factors adversely impact the deployment of digital infrastructure, such as 5G networks, in the countries of Oceania. The high-speed broadband fifth-generation cellular network (5G) will improve the quality of service for growing mobile users and the massive Internet of Things (IoT). It will also provide ultra-low-latency services required by smart city applications. This study investigates the planning process for a 5G radio access network incorporating sub-6 GHz macro-remote radio units (MRRUs) and mmWave micro-remote radio units (mRRUs). We carefully define an optimization problem for 5G network planning, considering the characteristics of urban macro-cells (UMa) and urban micro-cells (UMi) with appropriate channel models and link budgets. We determine the minimum number of MRRUs and mRRUs that can be installed in each area while meeting coverage and user traffic requirements. This will ensure adequate broadband low-latency network coverage with micro-cells instead of macro-cells. This study evaluates the technical feasibility analysis of combining terrestrial and airborne networks to provide 5G coverage in Oceania, with a special emphasis on Fiji.

Open Access: Yes

DOI: 10.3390/fi15100334

The bases of values in the motivation of the choice of career among professional nursing students and students learning at teacher's training college

Kovácsné Tóth Ágnes

Publication Name: Orvosi Hetilap

Publication Date: 2008-08-24

Volume: 149

Issue: 34

Page Range: 1601-1608

Description:

For the profession of teachers and nurses we need well-trained, highly qualified employees with a sense of vocation. Aim: A comparative analysis of motivation in the choice of career among professional nursing students and teacher-students. Methods: This analysis was done in Hungary among professional nursing students and students participating in teacher training. In this sample 783 students were analysed. Results: In the choice of career of nurses and teachers the primary motivation is of altruistic nature and also the human characteristics of the chosen career. According to genders in the case of female interviewed people we got a higher value than in the case of males in connection with "Helping people". It is more typical in the case of professional nursing students to choose the career as early as in their childhood. Choosing the career at a later age is typical for those who are teacher-students. Conclusion: As a consequence of our rapid economic changes or because of the dissatisfaction caused by career, we have to face the fact that the qualification obtained at a young age will not last till the end of life, the majority of people are forced to change their jobs several times during their lives. In harmonizing the demands of the labour market and education, those people who take part in education and professional training have a favoured role.

Open Access: Yes

DOI: 10.1556/OH.2008.28437

An Analysis of Personalized Learning Opportunities in 3D VR

Ildiko Horvath

Publication Name: Frontiers in Computer Science

Publication Date: 2021-09-20

Volume: 3

Issue: Unknown

Page Range: Unknown

Description:

Due to its constantly developing technological background, VR and AR technology has been gaining increasing popularity not just in industry or business but in education as well. Research in the field of Cognitive Infocommunications (CogInfoCom) shows that using existing digital technologies, online collaboration and cooperation technologies in 3D VR supports cognitive processes, including the finding, processing, memorization and recalling of information. 3D VR environments are also capable of providing users with a much higher level of comprehension when it comes to sharing and interpreting digital workflows. The paper presents a study carried out with the participation of 90 students. The aim of this study is to investigate how the application of 3D VR platforms as personalized educational environments can also increase VR learning efficiency. Besides considering participants’ test performance, metrics such as results on visual, auditory and reading-based learning tests for information acquisition, as well as responses on Kolb’s learning styles questionnaires are taken into consideration. The participants’ learning styles, information acquisition habits were also observed, allowing us to create and offer a variety of learning pathways based on a variety of content types in the 3D VR environment. The students within the study were divided into two groups: a test group receiving personalized training in the MaxWhere 3D VR classroom, and a control group that studied in a general MaxWhere 3D VR space. This research applies both quantitative and qualitative methods to report findings. The goal was to create adaptive learning environments capable of deriving models of learners and providing personalized learning experiences. We studied the correlation between effectiveness of the tasks and Kolb’s learning styles. The study shows the major importance of choosing the optimal task type regarding each Kolb learning style and personalized learning environment. The MaxWhere 3D spaces show a high potential for personalizing VR education. The non-intrusive guiding capabilities of VR environments and of the educational content integrated in the 3D VR spaces were very successful, because the students were able to score 20 percent higher on the tests after studying in VR than after using traditional educational tools. Students also performed the same tasks with 8-10 percent faster response times.

Open Access: Yes

DOI: 10.3389/fcomp.2021.673826

Calculation of magnetic component of wire antenna electromagnetic field

Miklós Kuczmann Yurii Branspiz Mykhaylo Zagirnyak

Publication Name: Przeglad Elektrotechniczny

Publication Date: 2013-03-27

Volume: 89

Issue: 2 B

Page Range: 21-24

Description:

The possibility of analytical solution to calculation of azimuthal component of magnetic field intensity of wire antenna simulated by shortcircuit current is demonstrated. For this purpose boundary condition on a cylindrical surface corresponding to the antenna surface presented by Fourier series is proposed.

Open Access: Yes

DOI: DOI not available

The Hungarian Statistical Review after 1990

Dusek Tamás

Publication Name: Statisztikai Szemle

Publication Date: 2022-01-01

Volume: 100

Issue: 12

Page Range: 1095-1105

Description:

Three studies have been devoted to a partial history of the Hungarian Statistical Review and its publishing environment on the occasion of its 100th anniversary. In April, Balázs Horváth published a study on the period between 1923 and 1945, and in the September issue, Miklós Lakatos, the journal’s eighth editor-in-chief, wrote about the period between 1946 and 1989. The present study covers the period from 1990 to the present, showing the changes in the journal’s column structure and the emergence of changing research topics and statistical methods

Open Access: Yes

DOI: 10.20311/stat2022.12.hu1095

THE IMPACT OF AN ARTIFICIAL INTELLIGENCE-BASED FORECASTING MODEL ON THE DEVELOPMENT OF SUSTAINABLE TOURISM

Marcell Kupi

Publication Name: Geojournal of Tourism and Geosites

Publication Date: 2025-01-01

Volume: 61

Issue: 3

Page Range: 1758-1766

Description:

This research investigates the application of artificial intelligence (AI) and Web 3.0 technologies in promoting sustainable urban tourism, with a particular focus on demand forecasting and environmental impact assessment. The study presents a two-layered AI-based model aimed at supporting data-driven decision-making in destination management, addressing the need for forward-looking strategies that align with both operational and sustainability goals. The research applies the Facebook Prophet algorithm to forecast monthly tourism demand in two Hungarian cities—Budapest and Győr—selected for their contrasting tourism profiles. Forecast outputs were then integrated into a sustainability impact module estimating carbon dioxide emissions, water consumption, and waste generation, based on empirically defined conversion factors. Results indicated strong seasonal peaks in Budapest, with over 1.3 million overnight stays projected for August 2026, and corresponding environmental impacts surpassing 62,000 tons of CO₂. In contrast, Győr exhibited more moderate fluctuations and lower error margins, reflecting a more stable tourism pattern. Forecast accuracy was assessed using MAE, RMSE, and MAPE metrics, showing acceptable performance for strategic use, although with reduced reliability in low-demand periods. The sustainability module effectively highlighted peak periods of ecological burden, enabling targeted interventions such as infrastructure scaling, service optimization, and seasonal policy adjustments. In addition to its forecasting functionality, the model offers practical guidance for municipalities by identifying where and when ecological pressure is likely to arise. The dual-model framework offers a scalable and replicable approach for cities seeking to balance tourism growth with environmental and community well-being. By integrating predictive analytics with sustainability assessment, the model provides valuable insights into the timing and magnitude of tourism’s impact. This supports smarter capacity planning, emission reduction strategies, and the alignment of visitor flows with local resilience thresholds. The findings contribute to the evolving discourse on smart and sustainable tourism in the Web 3.0 era, positioning AI as a critical enabler of holistic and proactive destination manageme nt.

Open Access: Yes

DOI: 10.30892/gtg.61334-1544

Economical Mobile Robot Design Prototype and Simulation for Industry 4.0 Applications

Claudiu Radu Pozna Áron Ballagi Csaba Hajdu Janos Hollosi Rudolf Krecht

Publication Name: Cando EPE 2020 Proceedings IEEE 3rd International Conference and Workshop in Obuda on Electrical and Power Engineering

Publication Date: 2020-11-18

Volume: Unknown

Issue: Unknown

Page Range: 155-160

Description:

Autonomous mobile robots received a rising research interest, with the appearance of complex cyber-physical system applications, like Industry 4.0. Related scenarios require not only some degree of autonomous capabilities of the control software but also tight interaction between humans as well. In this paper, a prototype autonomous mobile robot of such functionalities is presented with additionally aiming cost-effective construction. The robot is currently capable of performing basic tasks, like traversing to a goal configuration, mapping the environment, and detecting and avoiding obstacles. To allow the versatile extension with additional cyber-physical software, the control software interfaces the Robot Operating System (ROS), a popular framework in robotic research. During the development of software and hardware, simulation has been heavily utilized. This allowed an iterative development and the use of verification in the early development phases.

Open Access: Yes

DOI: 10.1109/CANDO-EPE51100.2020.9337786