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Publications - 6374

Corrosion Avoidance in the Metal Gate Industry Considering Sustainability

Boglárka Eisingerné Balassa Pál Eisinger

Publication Name: Chemical Engineering Transactions

Publication Date: 2021-01-01

Volume: 88

Issue: Unknown

Page Range: 1075-1080

Description:

Coating not cleaned up leads to massive emission worldwide, causing cancer and asthma. Coating gates to avoid corrosion needs to take place in nature. As a result, vast amounts of coating get sprayed out into nature, causing a significant sustainability issue. The industrial coating sector does not use protective equipment to save nature. The study aims to present a case study to minimise environmental pollution without increasing the cost of corrosion protection. The global cost related to corrosion has a significant burden on economies around the world – it costs approximately $2.5x1012 USD/y. It can be as high as 3.4 % of the GDP (2013). This cost has a significant impact on the efficiency of industries such as the automotive industry, industrial coatings and corrosion protection. Global demand for polyurethane coating materials will increase by 280 kt in 2022 (predictably). The volume of the solvent-based industrial coating consumption will grow significantly worldwide in the y 2021, predictably 1,400 Mt. In more detail, half of the coating is wasted, it drips onto the ground, gets into the air, so it causes pollution everywhere. The VOC (Volatile Organic Compounds) of the industrial coating pollutes the air, the living organism, and it can cause cancer, asthma and many other yet unknown health problems. The aim of this study is not only to introduce (based on data analysis) but to call attention to the environmental load originating from the industrial coating. In this study, the sustainability aspects of corrosion have been examined – especially in respect of the treatment of metal structures.

Open Access: Yes

DOI: 10.3303/CET2188179

Application compatibility of the NAT64 IPv6 transition technology

Sándor Répás Tamas Hajas Gábor Lencse

Publication Name: 2015 38th International Conference on Telecommunications and Signal Processing Tsp 2015

Publication Date: 2015-10-09

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The proliferation of smart phones and other Internet capable devices together with the depletion of the global IPv4 address pool will be a huge driving force for the deployment of IPv6 in the forthcoming years. The communication of an IPv6 only client with an IPv4 only server is a typical practical task to be solved among the many issues of the co-existence of IPv4 and IPv6. The usage of DNS64+NAT64 may be a good solution if our applications can flawlessly work with it. As for NAT64 implementations, TAYGA running under Linux and Packet Filter (PF) of OpenBSD were tested with the following application level protocols: HTTP, HTTPS, SMTP, POP3, IMAP4, Telnet, SSH, FTP, OpenVPN, RDP, Syslog, BitTorrent, Skype and SIP. The client-server application protocols could traverse through the NAT64 gateway flawlessly but the peer to peer ones failed. In contrast to the results of other researchers, OpenVPN worked perfectly with NAT64.

Open Access: Yes

DOI: 10.1109/TSP.2015.7296383

Entropy-centroidous driven decision framework for optimal selection of oxide nanoparticles in solar still systems

Gusztáv Fekete Vedant Singh Meizi Wang Raj Kumar Lalit Ranakoti Akashdeep Negi Tej Singh

Publication Name: Thermal Science and Engineering Progress

Publication Date: 2026-06-01

Volume: 74

Issue: Unknown

Page Range: Unknown

Description:

The growing global demand for safe and sustainable freshwater production has fueled interest in solar distillation systems. Although solar stills offer environmentally friendly desalination solutions, their low productivity remains a major problem. The incorporation of nanofluids based on oxide nanoparticles has emerged as a promising approach to enhance the thermophysical performance and freshwater yield of solar stills. However, selecting the most suitable nanoparticle is challenging due to conflicting thermophysical, environmental, and economic criteria. To address this decision-making complexity, this study proposes a novel hybrid multi-criteria decision-making (MCDM) framework that integrates entropy and centroidous objective weighting methods with the “Multi-Attributive Ideal-Real Comparative Analysis” (MAIRCA) ranking technique. Twelve widely reported oxide nanoparticles (SiO2, Fe3O4, MgO, ZnO, CuO, Al2O3, GO, TiO2, Co3O4, CeO2, SnO2 and ZrO2) were evaluated against eight criteria: density, thermal conductivity enhancement, specific heat capacity, thermal expansion coefficient, cost, toxicity, stability, and compatibility with the container material. Entropy-centroidous weighting identified thermal conductivity (0.2962) and cost (0.1969) as the most influential criteria, while MAIRCA ranked GO first with a score of 0.0357, followed by Al2O3 (0.0363) and SiO2 (0.0411); ZnO ranked last with a score of 0.0582. Comparative validation across eleven established MCDM methods showed strong agreement, with Spearman correlation coefficients above 0.748, p-values below 0.05, while mean absolute error values not exceeding 1.83. Sensitivity analysis further confirmed that GO remained at the top position in almost all scenarios, except when the importance of thermal conductivity started to decrease compared to its actual weight, resulting in its replacement by Al2O3. The proposed framework provides a systematic and transparent decision-support tool for nanoparticle pre-screening in solar still applications. The entropy-centroidous-MAIRCA framework can be extended to a wide range of problems related to renewable energy and thermal management optimization.

Open Access: Yes

DOI: 10.1016/j.tsep.2026.104728

Changing Tourism Trends of the Benedictine Abbey in Tihany: Best Practices of a Hungarian Monastic Community

Katalin Czakó Dávid Fekete Mihály Dömötör Gábor Ágoston Barkó

Publication Name: Religions

Publication Date: 2023-04-01

Volume: 14

Issue: 4

Page Range: Unknown

Description:

The touristic use of sacred sites is a widespread practice in Hungary. Throughout the past centuries, Christianity has dominated the history of the Carpathian Basin. The Hungarian State’s strong affiliation with the Roman Catholic Church dates back to its foundation over a 1000 years ago. Due to its location on the shore of Lake Balaton and outstanding natural environment, the Benedictine Tihany Abbey is a major touristic destination and a popular place of pilgrimage in Hungary. The objective of the present paper is to examine how touristic activities contribute to the livelihood of a Hungarian monastic community and local economic development in the 21st century. To answer the research questions, the study primarily relied on literature and documentary analysis, in-depth interviews, and the construction and processing of a database. The research revealed that in addition to the classic elements (e.g., guided tours in the abbey, museum exhibitions, concerts, etc.), the program offer developed by the monastic community of Tihany is capable of addressing new target audiences: the rapidly rising number of tourists from the Far East (mainly Japan, China, South Korea, and Russia). Despite remaining considerably below visitor numbers recorded by the abbey in the mid-1990s, a significant increase in visitor numbers was observed in 2018–2019. The economic activities of the Benedictines of Tihany comprise a number of different areas beyond tourism, e.g., agricultural production and candle making, both of which are integrated into their tourism offer and feature among touristic programs. As a major employer, the abbey exerts a positive impact on the population retention capacity of the settlement by offering jobs to local residents, and it also contributes to population growth by attracting a large number of highly skilled professionals who choose to settle down in the region. The paper shows the evidence of the pandemic on pilgrimage and religious tourism in Tihany.

Open Access: Yes

DOI: 10.3390/rel14040435

Parameter dependence of fuzzy cognitive maps' behaviour

Miklós F. Hatwágner András Torma Ĺaszĺo T. Ḱoczy

Publication Name: 2015 10th Asian Control Conference Emerging Control Techniques for A Sustainable World Ascc 2015

Publication Date: 2015-09-08

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Stakeholder Relationship Management Systems (SRMS) are conventionally analyzed by a static way, which hides the interconnections of the system. Authors investigated a novel approach to make the evaluation of the interconnections of the SRMS and their behavior achievable. The Fuzzy Cognitive Maps (FCM) is a proper tool to investigate the properties of SRMS. The simulation of SRMS with FCM supports the business management process and different project support activities. If the factors of SRMS themselves, the initial states of them and causality relations among them are already determined, a simulation can be easily carried out. In some specific situations the results of the simulation is hard to use in practice, however. If the differences between factor states are very small, the order (importance) of factors cannot be defined. In such cases the modification of the threshold function's parameter can help to better separate final factor states. This paper deals with the investigation of this approach.

Open Access: Yes

DOI: 10.1109/ASCC.2015.7244823

An abstraction of the Lidar measurements

Claudiu Radu Pozna Erno Horváth János Kovacs

Publication Name: Saci 2015 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2015-08-17

Volume: Unknown

Issue: Unknown

Page Range: 381-385

Description:

The laser scanner seems to be one of the favorite sensors used in mobile robots (autonomous car) localization. The Lidar is similar to the radar except radio signals are substituted with laser beams. Measurements are a collection of n lengths obtained for different firing angles. The paper presents an abstraction of this collection. The abstraction reduce the dimensions of data from n to 3 and can be used in obstacles avoiding or in localization. The paper presents the abstraction definition and a simulation scenario where the abstraction is used.

Open Access: Yes

DOI: 10.1109/SACI.2015.7208234

Driving circular financial performance and circular economic value added: Insights from institutional pressures and dynamic circular reconfiguration

Manlio Del Giudice Danish Mehraj Gian Luca Gregori Attila Kurucz Salwa Saleh Almasabi Sarthak Singh

Publication Name: Technology in Society

Publication Date: 2026-06-01

Volume: 86

Issue: Unknown

Page Range: Unknown

Description:

Moving towards a circular economy needs development of digital platforms and organizational capabilities for innovation, reconfiguration and capture for sustainable value. This study enquires the influence of institutional pressures (namely coercive, normative, and mimetic) on the circular performance of firms, resulting in better ecosystem innovation synergy as well as dynamic circular reconfiguration, circular value capture and circular financial performance. The goal of this study is to develop a theory-based model that links institutional theory, dynamic capabilities, and circular economy with circular economic value added. The data comprises 207 valid responses collected from companies in the logistics and supply chain sector. SmartPLS 4 is used to analyze data. The three institutional pressures have a significant impact on the circular economy capabilities. Coercive pressure and normative pressure influence ecosystem innovation synergy while mimetic pressure predicts dynamic circular reconfiguration. Moreover, dynamic circular reconfiguration is associated with measurable improvements in cost efficiency and revenue generation, thereby strengthening circular financial performance and circular economic value added. The study reveals that circular value capture has a significant impact on circular economic value added. The data indicates that ecosystem innovation synergy does not have a significant effect on circular value capture or circular financial performance. Ecosystem collaboration does not produce changes in firm economic performance unless it brings about internal reconfiguration. The findings suggest that both dynamic circular reconfiguration and circular performance became significant for circular economic value added in the context of circular finance. The routes of ecosystem innovation synergy and circular value capture, by their nature, are not sources of pressure. The findings enhance the understanding of how institutional pressures and potential capabilities enabled by digital platforms facilitate the transition to the circular economy. This paper finally provides theoretical and managerial insights for achieving sustainable value creation.

Open Access: Yes

DOI: 10.1016/j.techsoc.2026.103291

A population based metaheuristic for the minimum latency problem

Peter Foldesi Boldizsar Tuu-Szabo Ĺaszĺo T. Ḱoczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2019-01-01

Volume: 796

Issue: Unknown

Page Range: 113-121

Description:

In this paper we present a population based metaheuristic for solving the Minimum Latency Problem, which is the combination of bacterial evolutionary algorithm with local search techniques. The algorithm was tested on TSPLIB benchmark instances, and the results are competitive in terms of accuracy and runtimes with the state-of-the art methods. Except for two instances our algorithm found the best-known solution, and for the biggest tested instance it outperformed the best-known solution. The runtime was on average 30% faster than the most efficient method in the literature.

Open Access: Yes

DOI: 10.1007/978-3-030-00485-9_13

A Risk Assessment Technique for Energy-Efficient Drones to Support Pilots and Ensure Safe Flying

Peter Foldesi Szabolcs Fischer Mykola Sysyn Dmytro Kurhan Szabolcs Kocsis Szurke Norbert Perness

Publication Name: Infrastructures

Publication Date: 2023-04-01

Volume: 8

Issue: 4

Page Range: Unknown

Description:

Unmanned Aerial Vehicles, also known as UAVs, play an increasingly important part in daily life. However, the ever-increasing number of UAVs pose an ever-increasing threat to the transportation infrastructure. Despite their precision and general efficiency, infrastructural-scale Unmanned Aerial Systems (UASs) have a disadvantage regarding their capability of being implanted in the ecosystem. There are several reasons for this, but the primary bottleneck is that their systems are not transparent to society and have very complicated processes. As a result, the authors decided to investigate the functional properties of UASs and make improvements to those properties. Throughout the study, the authors’ primary focus was on analysis, which boosts productivity and ensures a significant level of safety for routine flights. The amount of power that a UAV uses depends on several variables, including the amount of power that its individual components require, the temperature of its surroundings, and the condition of the battery that it is powered by. Therefore, critical parameters and interdependencies are taken into account in the risk assessment strategy for energy-efficient Unmanned Aerial Vehicles (UAVs). In the case of UAVs, the algorithm performs a risk calculation before take-off to estimate the amount of risk that can be associated with the given flight time when using the provided battery. On the one hand, several instances of the pre-take-off state and how its parameters interact are investigated. On the other hand, they demonstrate the calculation of the risk while in flight, which is based on actual flight data.

Open Access: Yes

DOI: 10.3390/infrastructures8040067