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Publications - 6515

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

The social cost of ill health among the working-Age population in 2019 in Hungary

Petra Fadgyas-Freyler Zsófia Kollányi Tamás Joó József Vitrai

Publication Name: Orvosi Hetilap

Publication Date: 2024-01-21

Volume: 165

Issue: 3

Page Range: 110-120

Description:

Introduction: We have quantified the healthy life years lost and the costs incurred in 2019 due to the poor health of the Hungarian population aged 30-64 from a societal perspective, but also from the perspective of several other social actors, calculating the indirect costs according to the human capital approach. Objective: The aim of our estimate is to shed light on the radically high losses that Hungary incurs year after year as a result of its inhabitants living significantly shorter and sicker lives than people in similar situations in other countries. Method: In the first part of the analysis, we aggregated the time lost due to illness and disability for the age group 30-64 in 2019. The aggregated Hungarian values for the studied age group were compared with the corresponding values for the Visegrad countries, Austria and the European Union. The second part of the analysis aggregates the social costs of time spent in ill health. A distinction is made between direct costs, which involve the movement of money, and indirect costs, which are embodied in lost income or production. Results: In Hungary, the nearly 4.8 million people aged 30-64 spent a total of 654,000 years on sick leave in 2019, which equated to an average of about 50 days per person. This means 14% of the total number of working days could have been working days in good health. The direct costs, i.e., the expenditure of the Health Insurance Fund and the expenditure financed by patients and voluntary insurance, amounted to HUF 1,446 billion. Indirect costs, i.e., expenditure due to the loss of working years as a result of premature death and illness, represented a further burden of HUF 2,279 billion. Conclusion: In 2019, the direct and indirect expenditure of people aged 30-64 amounted to HUF 3425 billion, or 7.21% of the GDP. It is well known that in developed countries, including Hungary, the greatest health losses are caused by non-communicable chronic diseases, which can be prevented by a healthy lifestyle. Therefore, the promotion of healthy lifestyles and the creation of a conducive physical and social environment are essential for improving the country s competitiveness.

Open Access: Yes

DOI: 10.1556/650.2024.32955

Importance of Eddy Viscosity and Advection in Hydrodynamical Models for Simulating Flash Floods on Steep Sloped Watersheds

Katalin Bene Gergely Ámon

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 805-810

Description:

Flash floods in steeply sloped watersheds pose significant human life and infrastructure. Accurate prediction of these events relies on key parameters such as peak flow, time to peak flow, and the total overland flow volume. Numerical models are highly effective tools for predicting flash floods. The accuracy of hydrodynamic models is determined mainly by the solver equations used. Depth-integrated models offer various equation sets, with the full hydrodynamic equation providing the most detailed, though computationally intensive, solution. Eddy viscosity is another critical factor in simulating turbulent overland flow. Still, increased equation complexity leads to longer computational times and the need for smaller time steps to maintain model stability. Simulating turbulent overland flow in steep watersheds is particularly challenging because maintaining stability in these conditions is difficult. This study examined overland flow using artificial watersheds and model rainfall events, testing multiple solvers within the Hydrologic Engineering Center – River Analysis System (HEC-RAS). By keeping geometry, mesh, and rainfall inputs consistent, the study compared solver performance, identifying potential errors that arise under different conditions. Nonlinear advection, rather than gravity and roughness, was found to govern flow around obstructions. These findings are critical for improving the reliability of models that simulate the complex dynamics of flash floods, ultimately aiding in the reduction of risks posed by these hazardous events.

Open Access: Yes

DOI: 10.3303/CET24114135

The protection of genetic resources in the intersection of biological diversity and intellectual property rights

Barna Arnold Keserű

Publication Name: Rechtskultur

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 339-351

Description:

Diversity is a key component of sustainable development. This stems from the systems theory approach, as a diverse system adapts best to environmental change. From this perspective, diversity is a guarantee of survival, and it serves as a tool of fighting for food security. The complexity and diversity must therefore be protected. One endpoint of diversity is biological and genetic diversity, while the other endpoint is cultural diversity. The protection of biological diversity is linked to the protection of genetic resources. The issues of the protectability of genetic resources is a new direction in intellectual property law, with the declared aim of promoting aspects of sustainable development. There are new, emerging legal institutions at international level which are not yet part of the universal system of intellectual property rights and it is up to international legislation to make them so. A key step was the adoption of the WIPO Treaty in this field in May of 2024. The purpose of this paper is to analyze the current and future possibilities for protection.

Open Access: Yes

DOI: DOI not available

GENERAL PURPOSE CONDITION ASSESSMENT METHOD THAT CAN BE AUTOMATICALLY OPTIMISED FOR SPECIFIC OBJECTIVES

Ádám Bukovics Ferenc Lilik Laszlo T. Koczy

Publication Name: Iet Conference Proceedings

Publication Date: 2024-01-01

Volume: 2024

Issue: 8

Page Range: 30-35

Description:

The maintenance and renovation of old (over 100 years old) residential buildings is one of the priority tasks in the last decades, because - especially in the inner areas of big cities - there are still a lot of them today, and therefore it has a decisive effect on the quality of life of many people. Since the structural design, materials, and condition of these types of residential buildings show many similarities, it is advisable to develop a uniform method for their condition assessment. A condition assessment and decision support model that is suitable for objective and uniform evaluation of this large number of old residential buildings and enables their energy-efficient maintenance and renovation as needed is being developed. The decision model consists of 4 main components (“Project info”, “Knowledge base”, “Preparatory work process”, “Fuzzy system”). For this method, a fuzzy signature-based decision model was developed, that can be used for the condition assessment of old residential buildings and for multi purpose intervention decision support. In this article, the main components are briefly overviewed and the automatic relationships between the individual elements of the project info and how it’s values affect the structure of the fuzzy signature is examined in details. Since the optimal structure of the fuzzy signature helps to make the right decision and the ideal use of the available resources, it is of great importance in terms of energy efficiency and sustainability. The other aim of automation is to make condition assessment even faster and more reliable.

Open Access: Yes

DOI: 10.1049/icp.2024.2677

DDOS Attack Mitigation Based on FPGA Implementation

Sandor R. Repas Ahmed Jamal Ibrahim Ahmed Jamal Ibrahim

Publication Name: International Conference on Electrical Computer and Energy Technologies Icecet 2024

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

With the widespread use of computer networks daily, network security has become a significant problem in the new technology era. Due to the quick growth of the World Wide Web, it is becoming more challenging for researchers to find new methods to prevent attackers from reaching their targets. The spread of malicious cyber network activity poses a significant risk to numerous organizations and inflicts substantial economic consequences on society. Distributed Denial of Service (DDoS) is a cyberattack technique that disrupts the regular traffic of the target server or system by flooding it with an abnormal flow of internet traffic from different sources. The current article explores the advantages of FPGA-based devices in network security to mitigate the effects of DDoS attacks.

Open Access: Yes

DOI: 10.1109/ICECET61485.2024.10698517

Noise Reduction Methods in the Vehicle Industry: Using Vibroacoustic Simulation for Sustainability

Ambrus Zelei Krisztián Horváth

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 763-768

Description:

To achieve sustainability goals, such as greenhouse gas emissions and environmental noise reduction, continuous innovation plays a key role in the vehicle industry. The noise emitted by vehicles negatively impacts both the environment and public health, making the development of noise reduction strategies crucial. Vibroacoustic simulation methodologies provide an opportunity to optimise vehicle power transmission systems by reducing the emitted noise level. Besides, the energy efficiency and performance of the vehicles can be improved by vibroacoustic simulations. In this research, a vibroacoustic simulation methodology is presented, focusing on the power transmission systems of vehicles. This approach integrates the Finite Element Method and Multibody Dynamics simulations with vibroacoustics to identify and redesign noisy components even during the conceptual design stage. This approach tackles the challenge of high-frequency tonal noise for electric vehicles, using psychoacoustic reviews to enhance passenger comfort. Key tasks involve electromagnetic force analysis in the drivetrain, structural vibration simulations, and noise reduction strategy optimisation using machine learning algorithms to reduce the reliance on physical prototypes. Capturing the current momentum of the industry, machine learning capabilities in vibroacoustic models can help engineers identify sources and eliminate or mitigate noise in the early design phase. Reducing the number of prototypes leads to more sustainable design processes. Our study shows the noise level can be reduced by 3-5 dB. This is particularly important in the context of electric vehicles, where high-frequency tone noise should be reduced, benefiting both passengers and their environment. Improving these factors is in line with the goals of the United Nations and improves the quality of urban life. Our research highlights the importance of vibroacoustic simulation and opens new directions in the field of noise reduction, promoting the spread of sustainable transport solutions.

Open Access: Yes

DOI: 10.3303/CET24114128

On the Effectiveness of Congestion Control Algorithms on MPT-GRE Networks

Naseer Al-Imareen G. Lencse

Publication Name: 2024 47th International Conference on Telecommunications and Signal Processing Tsp 2024

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 87-91

Description:

Contemporary academic research is seeing a notable surge in interest in investigating the multifaceted aspects associated with the advancement of multipath technologies, an area of prominence within ongoing research efforts. This burgeoning interest is exemplified by the prominence of protocols such as Multipath TCP (MPTCP) and Multipath UDP (MPT), which have appeared as focal points within contemporary research trends. The continual evolution of networking protocols, containing diverse iterations of the Transmission Control Protocol (TCP), including (CUBIC, Reno, Vegas, BBR, etc.) has been characterized by a sustained effort to congestion detection and control algorithms. This paper demonstrates the effectiveness of TCP congestion control algorithms within a network operating under the MPT -GRE network layer multipath technology. Various factors contributing to congestion were added to one of the two paths, including delay or packet loss. The study illustrates the contribution of congestion control algorithms to the increase in network throughput by resolving transient period issues in MPT -GRE multipath networks. The main objective is to evaluate the effectiveness and efficiency of congestion control algorithms within the MPT network architecture. Through systematic analysis and experimental testing, this study provides valuable insights into the performance of congestion detection algorithms. It gives evidence of their significant positive effect in multipath MPT -GRE networks.

Open Access: Yes

DOI: 10.1109/TSP63128.2024.10605944

The Evolution of Digitalization Transformation and Industry 4.0 in Supply Chain Management: A Systematic Literature Review †

László Buics Tran Nguyen Ngoc Quynh

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

The digital revolution is rapidly reshaping supply chains, driven by the confluence of Industry 4.0 and digitalization transformations. This research aims to investigate the evolution of the digitalization transformation era by integrating machine learning and big data management into supply chain management (SCM). A systematic literature review and mapping study were conducted, analyzing 223 articles from the Scopus database and 60 from Web of Science, selected through a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) screening process and the Population, Exposure, and Outcome (PEO) framework. This study provides a narrative summary of the evolution of decision-making and consultation processes, recommendation approaches, and guidelines for enterprises to achieve sustainability in their supply chain management. It also identifies potential areas for future research in navigating the world of digitized supply chains.

Open Access: Yes

DOI: 10.3390/engproc2024079065