Search in Publications

Found 6674 publications

Design of 2D rrsst system by FEM with T, φ-φ Potential formulation

Miklós Kuczmann

Publication Name: Pollack Periodica

Publication Date: 2008-04-01

Volume: 3

Issue: 1

Page Range: 67-80

Description:

The paper deals with the numerical analysis of a vector hysteresis measurement system, which is now under construction. The measurement set up consists of an induction motor whose rotor has been removed, and its windings have been replaced to a special two phases one, which can generate a homogeneous magnetic field inside the motor. A round shaped specimen can be inserted into the arrangement. The two orthogonal components of the magnetic field intensity and of the magnetic flux density vectors can be measured by H-coils and B-coils, respectively. The Finite Element Method (FEM) with the T, φ-φ potential formulation has been applied in the simulations. The vector hysteresis property of the specimen has been approximated by the isotropic vector Preisach model, finally the nonlinear problem has been solved by the convergent fixed point technique. The aim of the present work is to focus on the design aspects of this kind of measurement system. © 2008 Akadémiai Kiadó.

Open Access: Yes

DOI: 10.1556/Pollack.3.2008.1.6

"Thin" Structure of Relations in MCDM Models. Equivalence of the MABAC, TOPSIS(L1) and RS Methods to the Weighted Sum Method

Dragan Pamucar Irik Z. Mukhametzyanov

Publication Name: Decision Making Applications in Management and Engineering

Publication Date: 2024-01-23

Volume: 7

Issue: 2

Page Range: 418-442

Description:

This paper introduces the conceptual framework of the multi-criteria decision-making (MCDM) rank model, which embodies the integration and harmonization of the aggregation method, the weighing method, the decision matrix normalization technique, and the selection of distance metrics. This definition serves to broaden the spectrum of acceptable MCDM methodologies for problem-solving and specifiing the associated tools. A Multi-Method Model (3M) approach is employed for multi-criteria selection to enhance the reliability of the results. The methodology is outlined for adjusting the rankings of alternatives to account for the distinguishability of ratings in a particular MCDM model using the Relative Performance Indicator (RPI) of alternatives. Through RPI, four methods are established for aggregating individual characteristics of alternatives that yield identical results: Weighted Sum Model (WSM), Multi-Attributive Border Approximation area Comparison (MABAC), Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS (L1)), and Ratio System approach (RS), eliminating the need to duplicate these methods in the 3M approach. A comprehensive comparison of numerous multi-criteria methods is conducted based on two lists: ranking and rating. Additionally, a method for step-by-step linear transformation of alternative ratings obtained from various MCDM models is defined, facilitating comparison and aggregation of ratings.

Open Access: Yes

DOI: 10.31181/dmame7220241088

Script-Based Material and Geometrical Modeling of Steel–Concrete Composite Connections for Comprehensive Analysis Under Varied Configurations

János Szép R. M. Movahedi Daniel Gosztola Péter Grubits

Publication Name: Applied Sciences Switzerland

Publication Date: 2025-03-01

Volume: 15

Issue: 6

Page Range: Unknown

Description:

The behavior of steel–concrete composite structures is significantly influenced by the efficiency of the shear connections that link the two materials. This research examines the performance of stud shear connectors, with an emphasis on analyzing the effect of different geometric design parameters. A computational model was created utilizing Python 3.13 to enable thorough digital monitoring of the influence of these parameters on the structural performance of composite connections. Developed within the ABAQUS framework, the model integrates geometric nonlinearity and the Concrete Damage Plasticity (CDP) approach to achieve detailed simulation of structural behavior. Essential design aspects, including stud diameter, stud height, head dimensions, and spacing in both longitudinal and transverse directions, were analyzed. The Python-based parametric model allows for easy modification of design parameters, ensuring efficiency and minimizing modeling errors. The significance of stud diameter changes was analyzed in accordance with Eurocode standards and previous studies. It was found that stud length has a reduced effect on structural performance, particularly when considering the concrete properties used in bridge construction, where compressive failure of the concrete zone is more critical at lower concrete strengths. Additional factors, such as stud head dimensions, were investigated but were found to have minimal effect on the behavior of steel–concrete composite connections. Longitudinal stud spacing emerged as a critical factor influencing structural performance, with optimal results achieved at a spacing of 13d. Spacings of 2d, 3d, and 4d demonstrated overlapping effects, leading to significant performance reductions, as indicated by comparisons of ultimate load and force–displacement responses. For transverse spacing, closer stud arrangements proved effective in reducing the likelihood of slip at the steel–concrete interface, enhancing composite action, and lowering stress concentrations. Additionally, reducing the transverse distance between studs allowed for the use of more shear connectors, increasing redundancy and enhancing performance, especially with grouped-stud connectors (GSCs).

Open Access: Yes

DOI: 10.3390/app15063095

Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) Method: A Comprehensive Bibliometric Analysis

Dragan Pamucar Abdelhakim Abdelhadi Seifedine Kadry Gülay Demir Prasenjit Chatterjee

Publication Name: Decision Making Applications in Management and Engineering

Publication Date: 2024-01-23

Volume: 7

Issue: 2

Page Range: 313-336

Description:

This paper explores the evolution, applications, and prospective developments of a very popular multi-criteria decision-making (MCDM) method called Measurement of Alternatives and Ranking according to COmpromise Solution Method (MARCOS). Employing an extensive bibliometric analysis, the study examines 115 pertinent papers sourced from the Scopus database spanning over the years from 2020 to 2024. This study also provides an evaluation of the methodological significance and outlines potential future directions of MARCOS method. The outcomes indicate "Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)" by Stević et al. (2020) as the most cited paper. Journals such as "Sustainability (Switzerland)", "Mathematics" and "Expert Systems with Applications" stand out among the most cited journals. "University of East Sarajevo" is an institution distinguished for its prolific research in this field. "Stević Ž." Has been identified as the most cited and published author. The most frequently used keywords are "MARCOS", "MARCOS method", and "MCDM". CRiteria Importance Through Intercriteria. Correlation (CRITIC) method is a weighting model often integrated with MARCOS method. The results of the study provide researchers and practitioners in the field of MCDM with an important insight into the current state of the MARCOS methodology, highlighted studies and potential future developments. It also provides a comprehensive overview of the importance of this method in the multi-criteria decision-making literature, shedding light on future research directions.

Open Access: Yes

DOI: 10.31181/dmame7220241137

2D advertising in 3D virtual spaces

Borbála Berki

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2018-01-01

Volume: 15

Issue: 3

Page Range: 175-190

Description:

2D advertising in VR is more effective than in the classic banner ad format, our study confirms that ads in VR evoke better memory, namely more participants remembered the advertisement displayed in VR than the web-based ad. Advertising in virtual realities does not have to mean a virtual space exclusively dedicated to the promoted product. It can be a 2D ad inserted in the virtual space. It differs from the classic web-based ads, as it is not inserted in the content of a webpage, but stands alone in a virtual space. In this paper, we show a comparison of the classic banner ads, and 2D ads placed in a 3D virtual world. The effectiveness of the VR advertisement is higher than the classic web-based ads. In our experiment 22 people were involved. As the virtual space, we used the MaxWhere virtual platform, where the participant’s task was to read four online articles. In one condition four banner ads were placed on each webpage, in the other condition, the advertisement was placed in the virtual space. Then, they answered questions about the article and the advertisement.

Open Access: Yes

DOI: 10.12700/APH.15.3.2018.3.10

Carbon conundrums: Geopolitical clashes and market mayhem in the race for sustainability

Gagan Deep Sharma Mansi Gupta Mohammad Razib Hossain Amar Rao Jaya Singh Parihar Mansi Gupta

Publication Name: Journal of Environmental Management

Publication Date: 2024-01-15

Volume: 350

Issue: Unknown

Page Range: Unknown

Description:

This research presents an in-depth investigation into the dynamic correlation between geopolitical conflicts and carbon markets utilizing the Time-Varying Parameter Vector Autoregression (TVP-VAR) technique. The analysis focuses on the interconnectedness between the Geopolitical Risk Index Daily (GPRD) and vital carbon pricing instruments, specifically the Intercontinental Exchange Endex European Union Allowance (ECEFDC), KraneShares California Carbon Allowance Strat ETF (KCCAK), Shanghai Environment and Energy Exchange China Emission Allowances Online Transactions (SAXCEA), and S&P Global Ex-Japan LargeMidCap Carbon Efficient Index (SPGJ). The daily fluctuations were traced from May 2021 to July 2023. The analysis is divided into short- and long-term connectedness, with particular emphasis on the impact of the Russia-Ukraine conflict on the GPRD's spillover on carbon markets. The short-term connectedness (1–5 days) between GPRD and ECEFDC shows variability, fluctuating between 10% and 40%. Conversely, long-term connectedness exhibited a significant increase during the conflict, peaking at approximately 34% by mid-2022. The analysis of the Total Dynamic Connectedness (TCI) between the GPRD and the KCCAK indicates comparable magnitudes, although with minor initial discrepancies. The short-term connectedness of GPRD and KCCAK decreases from its peak of approximately 10% to approximately 1%. Conversely, long-term connectedness varies between approximately 32% and 2% from May 2022 onwards. The long-term connectedness between GPRD and SAXCEA revealed variable patterns, peaking at around 18% at the beginning of the sample period and rapidly reducing to around 1% within two months. The analysis of the connectedness between GPRD and the SPG) identifies intense fluctuations in both TCI and long-term connectedness. After an initial increase and decrease, these patterns rebound and experience another increase. This research provides significant insights into the complex dynamics of geopolitical conflicts and carbon markets, particularly the impact of the Russia-Ukraine conflict on carbon market behavior.

Open Access: Yes

DOI: 10.1016/j.jenvman.2023.119631

5G Networks in the Value Chain

John G. Keogh Abderahman Rejeb

Publication Name: Wireless Personal Communications

Publication Date: 2021-03-01

Volume: 117

Issue: 2

Page Range: 1577-1599

Description:

As Information and Communication Technologies are evolving rapidly and at an exponential pace‚ businesses are forced to cope with the latest trends in innovation and to respond to emerging needs and opportunities. The constant digitization and process automation (digitalization) of supply chains call for the consideration of innovative services to sustain value chain efficiency and effectiveness. Given the approaching technological developments‚ the new network upgrades embodied in 5G networks raises several high expectations along the value chain. This paper recognizes the critical role of 5G telecommunications to support several value chain activities and create value propositions that would not be possible with existing network generations. To this end‚ Porter’s value chain model is applied and comprehensively discussed to highlight the potential areas that could be facilitated by 5G telecommunications.

Open Access: Yes

DOI: 10.1007/s11277-020-07936-5

The genetic status of the Hungarian brown trout populations: Exploration of a blind spot on the European map of Salmo trutta studies

György Hoitsy Dóra Kánainé Sipos Balázs Kovács Szilvia Keszte Anna Júlia Sáfrány Ágnes Ősz Csaba Palkó Balázs Tóth Béla Urbányi Ákos Horváth Saša Marić

Publication Name: Peerj

Publication Date: 2018-01-01

Volume: 2018

Issue: 9

Page Range: Unknown

Description:

Background. Analyses of the control region sequences of European brown trout populations’ mitrochondrial DNA have revealed five main evolutionary lineages (Atlantic, Danubian, Mediterranean, Adriatic, Marble) mostly relating to the main water basins; however, the hybridization between lineages were increasingly reported. Due to the hydrogeography of Hungary, wild populations should theoretically belong to the Danubian lineage, however, this has not been verified by genetic studies. Methods. In our study multiple molecular marker sets (mitochondrial sequence, microsatellites, PCR-RFLP of nuclear markers and sex marker) were used to investigate the genetic composition and population genetics of the brown trout populations in two broodstocks, six wild streams in Hungary and one Serbian population. Results. The admixture of Atlantic and Danubian lineages in these populations, except the Serbian population with pure Danubian origin, was observed by control region sequences of mitochondrial DNA and PCR-RFLP markers in the nuclear genome, and one unpublished Danubian haplotype was found in Hungarian populations. A sex-specific marker revealed equal gender ratio in broodstocks and Kemence stream, whereas in other wild streams the proportion of female individuals were less than 50%. Structure and principal component analyses based on the alleles of microsatellite loci also revealed overlapping populations, however the populations were still significantly different from each other and were mostly in Hardy-Weinberg equilibrium. Discussion. Stocking and migration can have a significant genetic impact on trout populations of wild streams, however there are no guidelines or common practices for stocking of small streams in Hungary, thus the genetic background of these populations should be considered when developing conservation actions.

Open Access: Yes

DOI: 10.7717/peerj.5152

Overview of Hungarian operations research based on the VOCAL 2022 conference

Botond Bertok Marianna E.-Nagy Péter Biró

Publication Name: Central European Journal of Operations Research

Publication Date: 2024-12-01

Volume: 32

Issue: 4

Page Range: 897-902

Description:

The latest results of the Hungarian operations research community is reviewed based on the presentations given at the VOCAL 2022 conference. International collaborations and the continuation of research published at previous conferences of the series are also summarized.

Open Access: Yes

DOI: 10.1007/s10100-024-00930-3