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Found 6427 publications

Optimization of masonry strength assessment procedure using fuzzy method

Vanda O. Pomezanski A. Dormány András Kaszás Laszlo T. Koczy

Publication Name: Pollack Periodica

Publication Date: 2026-04-01

Volume: 21

Issue: 1

Page Range: 1-7

Description:

The aim of this paper is to show that the fuzzy signature model based on non-destructive in-situ measurements and visual inspection can be used to obtain equally reliable results on the strength of masonry as destructive tests. The fuzzy signature model was constructed to describe a masonry based on different measurements of. The aggregations of the signature were given as weighted geometric means. Weights of the input values of the aggregations were determined by two different optimization methods: (i) an iteration procedure was chosen, which showed significant differences in the result; (ii) a genetic algorithm was used, which produced similar but more accurate approximations to the results of the destructive tests. The comparison of the two optimization results gave new conclusions that are valuable information for the further development.

Open Access: Yes

DOI: 10.1556/606.2025.01309

Investigation of the relationship between cryptocurrency acceptance points and tourism in EU regions

Marcell Kupi

Publication Name: Journal of Infrastructure Policy and Development

Publication Date: 2024-01-01

Volume: 8

Issue: 8

Page Range: Unknown

Description:

This study examined the role of cryptocurrencies in tourism and their acceptance across EU regions, with particular attention to the digital transformation precipitated by the COVID-19 pandemic. The analysis focuses on the relationship between cryptocurrency acceptance points and the intensity of tourism, highlighting that the acceptance of cryptocurrencies is significantly correlated with tourism services. The literature review highlighted that Web 3.0, especially blockchain technology and decentralized applications, opens new possibilities in tourism, including secure and transparent transactions, and more personalized travel experiences. The research investigated cryptocurrency acceptance points and the intensity of tourism within the EU. The study illuminates that the acceptance of cryptocurrencies significantly correlates with tourism services. The data and methodology demonstrated the analysis methods for examining the relationship between cryptocurrency acceptance points and tourism intensity, including the use of clustering neural networks and Eurostat data utilization. The results showed a positive correlation between the number of cryptocurrency acceptance points and tourism intensity in the EU, affirming the research hypothesis. According to the regression analysis results, each additional cryptocurrency acceptance point is associated with an increase in tourism intensity. The significance of the research lies in highlighting the growing role of digital payment solutions, especially cryptocurrencies, in tourism, and their potential impacts on the EU economy. The analysis supports that the intertwining of tourism and digital financial technologies opens new opportunities in the sector for both providers and tourists.

Open Access: Yes

DOI: 10.24294/jipd.v8i8.4637

Optimizing Topology of Structures Considering Fatigue-Resistance

Majid Movahedi Rad Muayad Habashneh

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 613-618

Description:

The pursuit of reliable design has become increasingly crucial in various engineering disciplines, aiming to minimize environmental impact and enhance resource efficiency. In this context, this study explores the integration of topology optimization techniques with fatigue analysis to develop reliable designs for structural components. Fatigue failure is a critical concern in engineering applications, as it significantly affects the lifespan and reliability of structures. The proposed methodology combines mathematical optimization algorithms, computational modeling, and fatigue analysis techniques. The primary objective of this study is to minimize structural weight by determining the optimal material arrangement within the design domain while also considering fatigue as a constraint within the optimization problem. The bi-directional evolutionary structural optimization (BESO) method is developed to meet the goal of this research. Furthermore, topology optimization of L-shape and U-plate problems are considered as numerical examples to demonstrate the effectiveness of the suggested method. By considering fatigue behavior in topology optimization, engineers can develop lightweight and durable structures that effectively utilize materials while minimizing resource utilization. The integration of these two fields opens up new avenues for reliable design, promoting resource efficiency and contributing to the overall reliability of engineering practices.

Open Access: Yes

DOI: 10.3303/CET23107103

Characterization of internal stresses in hybrid steel structures produced by direct metal laser sintering

József G. Kovács István Hatos Hajnalka Hargitai

Publication Name: Materials Science Forum

Publication Date: 2017-01-01

Volume: 885

Issue: Unknown

Page Range: 196-201

Description:

In this study hybrid structures were produced by direct metal laser sintering of maraging steel (MS1) powder onto the surface of commercial mold steels. The over-sintering method should be analyzed to find the optimum pre- and post-heat treatment to minimize the internal stresses. The internal stress is directly proportional to the deformation if the solid thick part is reduced to thin plate like parts. Based on this recognition the deformation of the plates over-sintered with MS1 could be analyzed in order to explore the internal stresses and the effect of different pre- and postheat treatments were examined.

Open Access: Yes

DOI: 10.4028/www.scientific.net/MSF.885.196

Development of production logistics system based on lean principles

Tamás Hartványi Csaba I. Hencz

Publication Name: International Conference on Industrial Logistics Icil 2012 Conference Proceedings

Publication Date: 2012-01-01

Volume: Unknown

Issue: Unknown

Page Range: 349-355

Description:

This paper acquaints the production logistics system about a Hungarian operating vehicle part manufacturing company, including its examination, and development opportunities. This paper's highlighted objectives are the preparation and analysis of the basic data of development recommendation. Moreover, it demonstrates lean based outsourcing strategies which could significantly reduce the company's handling demands.

Open Access: Yes

DOI: DOI not available

Unveiling the Role of Edaphic Microalgae in Soil Carbon Sequestration: Potential for Agricultural Inoculants in Climate Change Mitigation

Györgyi Kovács Zoltán Molnár Jun Bin Zhao István Mihály Kulmány Wogene Kabato Zainulabdeen Khalaf Hashim Agampodi Gihan Shyamal Dharmendra De Silva Zainulabdeen Khalaf Hashim

Publication Name: Agriculture Switzerland

Publication Date: 2024-11-01

Volume: 14

Issue: 11

Page Range: Unknown

Description:

Agricultural soil has great potential to address climate change issues, particularly the rise in atmospheric CO2 levels. It offers effective remedies, such as increasing soil carbon content while lowering atmospheric carbon levels. The growing interest in inoculating soil with live microorganisms aims to enhance agricultural land carbon storage and sequestration capacity, modify degraded soil ecosystems, and sustain yields with fewer synthetic inputs. Agriculture has the potential to use soil microalgae as inoculants. However, the significance of these microorganisms in soil carbon sequestration and soil carbon stabilization under field conditions has yet to be fully understood. Large-scale commercial agriculture has focused on the development and use of inoculation products that promote plant growth, with a particular emphasis on enhancing yield attributes. Gaining more profound insights into soil microalgae’s role in soil carbon cycling is necessary to develop products that effectively support soil carbon sequestration and retention. This review comprehensively explores the direct and indirect mechanisms through which soil microalgae contribute to soil carbon sequestration, highlighting their potential as microbial inoculants in agricultural settings. This study underlines the need for more research to be conducted on microalgae inoculation into agricultural soil systems aimed at mitigating carbon emissions in the near future.

Open Access: Yes

DOI: 10.3390/agriculture14112065

Modeling Organizational Performance with Machine Learning

Miklós Illéssy Amir Mosavi József Pap Norbert Kis Csaba Makó

Publication Name: Journal of Open Innovation Technology Market and Complexity

Publication Date: 2022-12-01

Volume: 8

Issue: 4

Page Range: Unknown

Description:

Identifying the performance factors of organizations is of utmost importance for labor studies for both empirical and theoretical research. The present study investigates the essential intra- and extra-organizational factors in determining the performance of firms using the European Company Survey (ECS) 2019 framework. The evolutionary computation method of genetic algorithm and the machine learning method of Bayesian additive regression trees (BART), are used to model the importance of each of the intra- and extra-organizational factors in identifying the firms’ performance as well as employee well-being. The standard metrics are further used to evaluate the accuracy of the proposed method. The mean value of the evaluation metrics for the accuracy of the impact of intra- and extra-organizational factors on firm performance are MAE = 0.225, MSE = 0.065, RMSE = 0.2525, and R2 = 0.9125, and the value of these metrics for the accuracy of the impact of intra- and extra-organizational factors on employee well-being are MAE = 0.18, MSE = 0.0525, RMSE = 0.2275, and R2 = 0.88. The low values of MAE, MSE and RMSE, and the high value of R2, indicate the high level of accuracy of the proposed method. The results revealed that the two variables of work organization and innovation are essential in improving firm performance well-being, and that the variables of collaboration and outsourcing, as well as job complexity and autonomy, have the greatest role in improving firm performance.

Open Access: Yes

DOI: 10.3390/joitmc8040177

Pinch analysis for sustainable development: A cross-disciplinary review of developments from 2018 to 2025

Paweł Ocłoń Bohong Wang Jiatong Shi Yangying Guo Sen Wang Petar Sabev Varbanov

Publication Name: Renewable and Sustainable Energy Reviews

Publication Date: 2026-07-01

Volume: 235

Issue: Unknown

Page Range: Unknown

Description:

Since the 1970s oil crisis, Pinch Analysis (PA) has been employed as a heat recovery guidance tool to address the need for energy conservation. With the continuous improvement of the theoretical system and the ongoing innovation of the methodology, PA has not only been deepened and developed within the energy domain but has also been extended to other important problem domains, enabling optimal resource utilisation and becoming an indispensable analytical methodology for the integration of process industries. This review builds upon a critical review published in 2018 and summarises the recent advancements (2018 to the present) of PA in the domains of process modelling and energy optimisation, energy system process integration, resource network optimisation, freshwater integration, carbon emissions integration, plastics management networks, and energy-water-carbon nexus. It also summarises the tools used by PA methods and looks at the future development of PA in various fields. The main findings of this review are: 1) PA has evolved in recent years towards multi-methodology, multi-dimensionality and multi-objectives, as well as a greater focus on dynamic adaptability when dealing with complex application scenarios; and 2) according to the reported data of works reviewed in this paper, a diversified and effective tool chain and specialised tool (e.g. Aspen, Water Pinch, CEPA) can achieve up to 75% savings in energy consumption and resources in specific industrial cases.

Open Access: Yes

DOI: 10.1016/j.rser.2026.116905

Development and parasitism of the horse-chestnut leafminer, Cameraria ohridella, in different leaf types and canopy levels

P. Benedek B. Horváth

Publication Name: Acta Phytopathologica Et Entomologica Hungarica

Publication Date: 2009-12-01

Volume: 44

Issue: 2

Page Range: 277-293

Description:

Authors provide a 6-year study about aspects of development of Cameraria ohridella and its parasitoids in different leaf types of horse-chestnut trees. Investigations were carried out near Hédervár, North-West Hungary between 1999 and 2004.It was ascertained that in large leaves at low foliage levels as well as in large leaves exposed to direct sunlight developed more moths than in other leaf types of equal quantity (i.e. equal number of leaflets). On the other hand, there were not considerable differences between shaded and sun-exposed leaves in this regard if their quantity is measured in grams. Moreover, comparing the numbers of hatched moths per unit leaf weight, the values for minute leaves were the highest. The differences were explained on the basis of diverse microclimatic conditions in the mines, height preference of the moth or variations in dry weights per unit leaf area.Parasitism of Cameraria ohridella showed significant yearly differences between canopy levels and a tendency of changes during the years. Parasitism was higher in shaded than in sun-exposed leaves. Lowest values were found in minute leaves among all leaf types investigated what was explained with a presumed foraging behaviour of the parasitoids.Structure and species constitution of the parasitoid community and its changes in time are discussed in different leaf types. Temporal changes of several characteristics found in different leaf types refer to an adaptation process of the horse-chestnut leafminer. © 2009 Akadémiai Kiadó.

Open Access: Yes

DOI: 10.1556/APhyt.44.2009.2.6