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Publications - 6674

Measuring and simulating magnetic characteristics using Epstein frame

Miklós Kuczmann Zoltán Németh

Publication Name: Pollack Periodica

Publication Date: 2018-08-01

Volume: 13

Issue: 2

Page Range: 15-26

Description:

The paper discusses the standard of the Epstein frame that has been used to measure magnetic characteristics of the core made of material M250-35A supplied by different frequencies between 1-400 Hz. The measuring program has been built in LabVIEW including a control, filter and data save section as well. COMSOL Multiphysics 4.3b has been chosen as simulation environment, in which the Jiles-Atherton hysteresis model has been implemented.

Open Access: Yes

DOI: 10.1556/606.2018.13.2.2

A meshless polyharmonic-type boundary interpolation method for solving boundary integral equations

Csaba Gáspár

Publication Name: Engineering Analysis with Boundary Elements

Publication Date: 2004-01-01

Volume: 28

Issue: 10 SPEC. ISS.

Page Range: 1207-1216

Description:

A boundary interpolation technique is introduced based on multi-elliptic partial differential equations. The interpolation problem is converted to a special higher order partial differential equation which is completely independent of the geometry of the original problem. Based on this interpolation method, meshless methods are constructed for the 2D Laplace-Poisson equation. The presented approach makes it possible to avoid solving large and dense interpolation equations. The auxiliary higher order partial differential equation is solved by robust, quadtree-based multi-level methods. The results can be easily generalized to 3D problems as well. © 2004 Elsevier Ltd. All rights reserved.

Open Access: Yes

DOI: 10.1016/j.enganabound.2003.04.001

Intelligent wavelet based pre-filtering method for ultrasonic sensor fusion inverse algorithm performance optimization

György Kovács Szilvia Nagy

Publication Name: Inventions

Publication Date: 2021-06-01

Volume: 6

Issue: 2

Page Range: Unknown

Description:

Certain obstacle mapping applications require the live evaluation of the measured data to prevent collision with obstacles. The fusion of different or similar sensors usually has a high calculation demand, which increases significantly with the area to be evaluated and the number of sensors. In the present considerations, we propose a wavelet-based adaptive optimization method, which can greatly decrease the number of grid points to be evaluated, and thus the necessary computation time. The basis of the method is to use the fact that the areas to be evaluated mostly face a rather small number of obstacles, which cover a smaller percentage of the whole environment. The first step in a pre-filtering process is the determination of the zones where no obstacles are present. This step can already result in a considerable decrease in the computation time, however with the transformation to polar coordinates, the method will not only be more fitted to the problem to be solved, but the area of the evaluation can also be increased with the same number of grid points. As a last step, we applied wavelet transformation to identify the regions of interest, where the application of a refined raster is necessary, and thus further decreasing the number of grid points where the calculation has to be carried out. We used our previously developed probability-based ultrasonic sensor fusion inverse algorithm to demonstrate the efficiency of the proposed method.

Open Access: Yes

DOI: 10.3390/inventions6020030

Relationship between knowledge sharing willingness and life goals of generation Z

Renáta Machová Andrea Bencsik Timea Juhász Peter Molnar

Publication Name: Proceedings of the European Conference on Knowledge Management Eckm

Publication Date: 2018-01-01

Volume: 1

Issue: Unknown

Page Range: 84-94

Description:

The most critical area of knowledge management systems is the knowledge transfer and knowledge sharing. Several research results have emerged applying different approaches with a focus why employees and leaders of companies do not share their knowledge. Differences in social, cultural and individual values are in the background of willingness to share knowledge. Each of these attributes raise further questions. The main objective of this research is to examine the knowledge sharing willingness of Generation Z and consider the cultural determinants having impact on them. The research objective was to compare the results of Hungary and Slovakia. A questionnaire survey was conducted among the students of elementary and high schools. The electronic questionnaire included questions on a 5-point Likert scale, which were evaluated with a help of simple and complex statistical methods using the SPSS program. The study of life goals was based on the study of Aspiration Index in earlier research. The results show that cultural characteristics have significant influence on the characteristic features of behaviour related to trust, learning and knowledge. The national culture has impact on knowledge-friendly attitude of the school community. According to Aspiration Index Analysis, intrinsic goals gain more importance than extrincic goals. While getting older, the importance on intrinsic goals is increasing. The highly materialistic approach (preference of extrinsic goals) reduces the ability to coopearate. It increases competition and the self-interest, which are obstacles to knowledge-sharing. The ratio of goals (intrinsic/extrinsic) determines the decisions of young people (career choice), as well as those important skills that are relevant in the society and influence career choice e.g. cooperation, responsibility.

Open Access: Yes

DOI: DOI not available

Increasing Patient Specificity of the Recurrent Neural Network Based Insulin Sensitivity Prediction by Transfer Learning

Balazs Benyo J. Geoffrey Chase Bálint Szabó Katalin Kovacs Akos Szlavecz Béla Paláncz

Publication Name: Ines 2022 26th IEEE International Conference on Intelligent Engineering Systems 2022 Proceedings

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 27-32

Description:

Insulin therapy is a frequently applied treatment in intensive care to normalize the patient's blood glucose level increased by stress-induced hyperglycaemia. This therapy is generally referred to as Tight Glycaemic Control (TGC). The STAR (Stochastic-TARgeted) protocol is a TGC which uses the patient's insulin sensitivity (SI) as a key parameter to describe the patient's actual state. Prediction of the future patient's state, i.e. prediction of the patient's future SI value, is a crucial step of the protocol currently implemented by using the so-called Intensive Care INsulin Glucose (ICING) model of the human glucose-insulin system and an associated stochastic model. In our previous studies, we have shown that the Recurrent Neural Network (RNN) models are efficient alternative methods of SI prediction. In this paper, we suggest applying the so-called transfer learning technique to further enhance the accuracy of the SI prediction by using the SI history of the current patient. The paper presents the proposed methodology for applying transfer learning in SI prediction and the evaluation of the method's accuracy by comparing the outcomes with the currently applied solution. Insilico validation using real patients' data is involved in this validation.

Open Access: Yes

DOI: 10.1109/INES56734.2022.9922645

Examining the Environmental Ramifications of Asbestos Fiber Movement Through the Water–Soil Continuum: A Review

András Torma Gergely Zoltán Macher Dóra Beke

Publication Name: International Journal of Environmental Research and Public Health

Publication Date: 2025-04-01

Volume: 22

Issue: 4

Page Range: Unknown

Description:

The environmental pollution potential of asbestos products is a worldwide health issue, but their dissemination through the water–soil continuum is often an overlooked aspect. Similarly, the behavior of asbestos fibers released from the products is still not fully understood, although our knowledge is based on studies concerning their mineralogical characteristics, health effects, and waste disposal. It has been claimed and contradicted that asbestos harm is only found in air and humans. Asbestos fibers are found not only in industrial settings but also through the industrial use of asbestos cement products, which has contributed to asbestos emissions and its movement in water and soil. Asbestos fibers are diverse in their physicochemical properties, and this diversity has a significant influence on their behavior in the environment. Recent research has confirmed that asbestos can be transported by water and spread to other parts of the environment. However, the mechanisms underlying this, such as the settling of fibers, their attachment to soil particles, or their movement in groundwater, as well as the environmental and health implications, require further investigation. This paper examines the process and impact of asbestos contamination in the interconnected water, soil, and plant environmental sectors, providing a systematic review of the latest literature.

Open Access: Yes

DOI: 10.3390/ijerph22040505

A Theoretical Model for the Implementation of Social Sustainability in the Synthesis of Tourism, Disability Studies, and Special-Needs Education

Veronika Bolla Eva Happ

Publication Name: Sustainability Switzerland

Publication Date: 2022-02-01

Volume: 14

Issue: 3

Page Range: Unknown

Description:

This paper deals with the study of disability science, special-needs education, and psychology of special needs in the context of tourism. It is rare to find a link between these research areas in the literature. Accessible tourism has attracted widespread research interest in recent decades, but the number of studies focusing on tourism in the fields of disability studies, special-needs education, and psychology of special needs is very limited. Although there is growing literature on accessible tourism and related topics, the development of the research field is uneven, as most research focuses on specific subareas without considering the context of the whole spectrum of the topic. The interdisciplinary research aims to explore the situations of people with disabilities in terms of their participation in tourism. The data collected will be used to analyse the supply and demand side of tourism from a specific perspective. Among the external environmental impacts, the issue of sustainability will be highlighted, which will be addressed from a societal perspective by analysing the sustainable development goals (SDGs) related to the topic. The study includes a theoretical analysis through the processing of secondary sources, linking the fields of tourism, disability studies, special-needs education, and psychology of special needs, with the potential of social sustainability and the achievement of the SDGs. The paper presents a new model that illustrates the potential for achieving social sustainability from the supply and demand side of tourism. The model can be valuable, not only for those who want to extend their research into this new field, but also for tourism policy makers. The study also identifies key research questions on this topic that merit theoretical and empirical exploration in the future.

Open Access: Yes

DOI: 10.3390/su14031700

Predatory Medical Journals in Patent Literature: A Hidden Threat

Lóránt Dávid Mehdi Dadkhah Mihály Hegedűs

Publication Name: Advanced Pharmaceutical Bulletin

Publication Date: 2025-11-01

Volume: 15

Issue: 4

Page Range: 693-699

Description:

Purpose: The negative impact of potential predatory journals has been widely discussed, primarily within academic contexts. However, their influence beyond academia remains underexplored. This study aims to address that gap. Methods: The current editorial utilised a sample list of 8 potential predatory medical journals. We compiled a list of potential predatory medical journals using the discontinued titles list in Scopus and the current blocklists. Then their patent-to-paper citations have been examined to understand the dissemination of questionable medical publications outside of academia. Results: This indicates that potential predatory medical journals received 483,848 citations from scholarly works and 4,251 citations from patents. Conclusion: When patents cite papers from predatory journals, flawed information may propagate, or potentially leading to wrongful patent rejections and wasted resources. This serves as a warning for the patent community to take action against potential predatory journals.

Open Access: Yes

DOI: 10.34172/apb.025.46153

Enhancing Supply Chain Safety and Security: A Novel AI-Assisted Supplier Selection Method

Adrian Horváth József Pap Judit Bilinovics-Sipos Sándor Remsei Tamás Zelles Csaba Makó Zoltán Baracskai

Publication Name: Decision Making Applications in Management and Engineering

Publication Date: 2025-04-01

Volume: 8

Issue: 1

Page Range: 22-41

Description:

The "Make or Buy" decision and the supplier selection are critical steps for the efficient operation of companies' supply chains. Safety and security are paramount considerations, especially in industries like logistics, where supply chains are vulnerable to external threats and disruptions. In this scientific article, we present a novel Artificial Intelligence (AI)-assisted supplier selection method that significantly enhances the safety and security of suppliers. During our research project, we have created an expert system and a corresponding knowledge base with the relevant rules to support supply chain decision-makers in selecting logistics service providers for warehousing services. The foundation of the AI-assisted supplier selection method is advanced data analytics and the application of expert systems, enabling companies to evaluate potential suppliers in detail from a safety and security perspective. The applied expert systems can identify potential risks and make predictions about supplier performance in the future. In the turbulent environment of the global supply chain, selecting long-term partners like warehousing services providers is critical for the success of the organization. A wrong supplier selection can hardly be reversed in warehousing services, as the cost of change is usually high. The article demonstrates the practical application of the expert system-assisted supplier selection method in a real-world supply chain environment and thoroughly analyzes the achieved results and advantages. The results show that the expert system-assisted method not only increases supplier safety and security but also contributes to improving the efficiency and sustainability of the supply chain. This article provides valuable guidance and solutions for companies looking to enhance their supplier selection using expert system technologies, thereby increasing the safety and security of their supply chains.

Open Access: Yes

DOI: 10.31181/dmame8120251115