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Found 6289 publications

Masonry Strength Assessment Based on Fuzzy Signature Model

Z. Orbán Vanda O. Pomezanski A. Dormány András Kaszás László T. Kóczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2026-01-01

Volume: 1222

Issue: Unknown

Page Range: 205-211

Description:

Fuzzy signatures have been successfully used for various engineering applications including the strength and condition assessment of structural materials. In this paper, fuzzy signatures were used to determine the compressive strength of masonry based on groups of related measured values. Handling the uncertainty this way seemed useful because of the subjective parts and influencing noise factors of the measurements which are incorporated as leaves in the signature. For such modeling the structure from where the algebraic framework can be obtained which allows making computations with the fuzzy signatures thus determined. Since multiplicative type aggregations are applied on the various material test results assigned to the leaves of the signatures for the determination of the compressive strength of masonry, fuzzy arithmetic multiplication based on Zadeh’s extension principle was applied here. To perform the fuzzy signature calculations, the scalar product and the n-th root of fuzzy numbers were used.

Open Access: Yes

DOI: 10.1007/978-3-031-97879-1_22

NET ZERO TRANSITION TOWARDS DECARBONIZATION IN CONTEXT OF ENERGY SECTOR

Dragan Pamucar Anchal Patil Ashish Dwivedi Dindayal Agrawal Shefali Srivastava Lakshmi Shetty

Publication Name: Economics Innovative and Economics Research Journal

Publication Date: 2026-01-01

Volume: 14

Issue: 1

Page Range: 483-514

Description:

The study provides an identification and analysis of potential enablers that facilitate transition towards net zero in the energy sector through Multi Criteria Decision-Making (MCDM) framework. The identified enablers and causal relationships between them in terms of decarbonization initiatives are studied using the DEMATEL method and combining trapezoidal fuzzy numbers (TFNs). The research design involves an overarching review of thirteen potential enablers to net zero transition within the energy sector, in order of their impact and causality. Top-ranked enablers that would have the greatest impact in achieving the energy transition were carbon pricing mechanisms, waste-to-energy conversion, decentralized energy systems and circular procurement policies. The research indicates that the enablers show causal pathways that are interconnected and can take place as both causes and effects in the decarbonization framework. Application of DEMATEL method using TFNs increases the strength of causal relationship derivation. The study adds to the literature on enabling net zero transition in energy and highlights the importance of a conceptual approach involving a combination of policy, technology and principles of the circular economy. Such lessons can guide policy makers, industry players and academics in planning and speeding up the process to sustainable energy systems and world climate targets.

Open Access: Yes

DOI: 10.2478/eoik-2026-0023

A Monte carlo framework for procedural fixture fairness evaluation in league competitions

Boldizsar Tuu-Szabo László T. Kóczy

Publication Name: Annals of Operations Research

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Fairness is a critical yet underexplored dimension of tournament scheduling, where fixture asymmetries can systematically distort competition outcomes. This paper develops a Monte Carlo simulation framework as a general decision-support tool for assessing procedural fairness in league formats, isolating distortions arising from fixture structure rather than team strength or ranking rules. The approach integrates probabilistic match outcome modelling with two complementary fairness indicators: total fairness bias, capturing the magnitude of schedule-induced distortions, and the Gini index, measuring their distribution across participants. By incorporating competition-specific importance weights, the framework enables a context-aware, two-dimensional assessment applicable to any round-robin or multi-phase format, and can be embedded as a modular component into optimization, heuristics, or machine learning–based scheduling systems. To illustrate its applicability, we apply the framework to two European football leagues with structurally asymmetric designs. The results show how corrective mechanisms – such as home/away balancing phases – can significantly reduce fairness distortions compared to uncorrected triple round-robin structures. Beyond the case studies, the contribution is methodological: the framework provides a reproducible tool for fairness assessment and a foundation for fairness-aware optimization and scheduling methods applicable across sports and competition formats. Although demonstrated on football, the methodology is domain-independent and transferable to any context where fairness and equity are of relevance.

Open Access: Yes

DOI: 10.1007/s10479-026-07148-3

TRANSFORMATIONAL LEADERSHIP STRATEGY AS A DRIVING FORCE TO ENGAGEMENT OF WORKERS: EMPIRICAL STUDY IN THE BANKING SYSTEM

Wasib Bin Latif Jewel Kumar Roy Ida Md Yasin Md Atikur Rahaman Kamal Hossain Mohammad Bin Amin

Publication Name: Corporate and Business Strategy Review

Publication Date: 2026-01-01

Volume: 7

Issue: 1

Page Range: 250-257

Description:

This paper explores the hypothesis that transformational leadership strategy (TLS) is related to employee engagement in the branch-banking setting of a developing economy. Based on a quantitative survey of bank managers and employees (matched pairs; n = 61) and the available measures, reliability and validity have been measured, and the hypothesized TLS-engagement path has been tested through regression. Although there are recent studies and reviews that usually indicate positive links between TLS and engagement (e.g., meta-and narrative syntheses) (Bakker et al., 2023; Grah et al., 2024), our findings indicate a weak, statistically insignificant effect. The result indicates that leadership can be less motivated in banking due to contextual contingencies, including reward systems, legacy processes, or culture. We present hypotheses to apply to the job demands-resources (JD-R) theory, and in this case, leadership as a job resource might not be effective without other resources. We provide some steps that banks should take to balance leadership development with job redesign and incentives. We end with restrictions (convenience sampling, cross-sectional design) and future research (longitudinal and multi-level design and studies in other industries). Such insights provide a valuable boundary condition to other existing studies of TLS-engagement in other industries and different regions (Decuypere & Schaufeli, 2021; Bakker et al., 2023; Grah et al., 2024).

Open Access: Yes

DOI: 10.22495/cbsrv7i1art22

Investigation of the Size Effect of Concrete Elements and Surface Optimisation to Enhance DIC Measurements

Szabolcs Fischer Szabolcs Szalai Hanna Csótár Gusztáv Baranyai

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2026-01-01

Volume: 1768 LNNS

Issue: Unknown

Page Range: 211-224

Description:

The mechanical performance of concrete elements is significantly influenced by specimen size, particularly in bending behaviour under load. In this study, the size effect of a specific concrete composition was examined through three-point bending tests on specimens of varying dimensions. The results revealed non-linear trends in load-bearing capacity and deformation, indicating that intermediate-sized specimens exhibited more favourable mechanical properties. Surface preparation methods were also investigated to enhance the accuracy of Digital Image Correlation (DIC) measurements using the ARAMIS system. Several factors – including paint absorption, drying time, ambient conditions, and mould materials – were evaluated to determine their impact on speckle pattern quality and system recognition. It was demonstrated that inadequate surface preparation leads to errors in DIC analysis, while optimised surface treatments significantly improve data reliability. The findings emphasise the importance of specimen scaling and standardised surface preparation protocols in experimental setups that utilise non-contact optical measurement techniques. By enhancing the precision and reliability of these experimental methods, this research facilitates the development of smarter, more adaptive infrastructure systems, thereby contributing to the broader goals of Cognitive Mobility. This approach leverages resilient materials and advanced monitoring techniques to enable safer, more efficient, and sustainable transportation solutions.

Open Access: Yes

DOI: 10.1007/978-3-032-13898-9_24

Polymer and Fiber Modification of Asphalt Mixtures

Richárd Nagy Mohammad Fahad

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2026-01-01

Volume: 1768 LNNS

Issue: Unknown

Page Range: 1-15

Description:

The incorporation of various fibers into SBS-modified asphalt mixtures can markedly enhance their performance, offering a more economical approach than simply increasing the SBS content. This research investigated the effects of adding Basalt, Polyester, and Lignin fibers to a bitumen binder modified with 3% SBS and compared the results to a 7% SBS mixture without fibers. Laboratory evaluations, including indirect tensile strength and Dynamic Shear Rheometer (DSR) testing, were carried out to assess the mechanical properties of the mixtures. Additionally, finite element simulations based on the Burgers-Logit model were performed, along with microstrain analyses, to examine rutting and fatigue behavior, providing further context to the experimental findings. Results indicated that fiber-reinforced mixtures exhibited superior performance, with noticeable improvements in tensile strength and complex shear modulus. Among the fibers tested, Basalt fiber delivered the highest overall performance, surpassing the other types. Notably, the mixture containing Basalt fiber showed a 25% increase in rutting resistance and a 28% enhancement in fatigue damage resistance relative to the 7% SBS mixture.

Open Access: Yes

DOI: 10.1007/978-3-032-13898-9_1

Optimized machine learning approach for detecting TCP exhaustion attacks in modbus-TCP/IP networks

Zoltán Dobrády Timót Hidvégi Szilvia Nagy

Publication Name: Journal of Intelligent Systems

Publication Date: 2026-01-01

Volume: 35

Issue: 1

Page Range: Unknown

Description:

The Modbus TCP/IP protocol, widely adopted in industrial communications, lacks essential security features, making it vulnerable to cyberattacks such as TCP Connection Exhaustion. This paper proposes a machine learning-based detection framework using the Random Forest (RF) algorithm to identify malicious traffic in Operational Technology (OT) networks. A simulated testbed was created using virtual machines to emulate Modbus server-client communication under normal and attack conditions. Our model achieved F1-score of 99.83 %, precision of 99.9 %, and recall of 99.7 %, clearly demonstrating its accuracy and robustness. These results validate the proposed approach as a lightweight, real-time, and effective intrusion detection system suitable for resource-constrained industrial environments.

Open Access: Yes

DOI: 10.1515/jisys-2025-0015

Uncovering network changes in the evolution of an innovation niche

Edgardo Sica Antonio Lopolito Pasquale Marcello Falcone

Publication Name: Social Networks

Publication Date: 2026-01-01

Volume: 84

Issue: Unknown

Page Range: 87-100

Description:

The present paper aims at unravelling the networking dynamics regarding the evolution of an innovation-niche, by looking at its network configuration over time. To this end, we investigate the actors’ role within the network as well as the network architecture. We employ the social network analysis (SNA) to four different but interrelated types of networks characterising the Italian biofuel industry. Each network was investigated in both its development and maturity phase. Our findings show that, over the niche evolution, actors established new relations, increasing networks’ density and making the networks more centralized. Furthermore, while two out of four networks confirmed their small world configuration over time, one (i.e. “communication” network) increased its small-world-ness, providing a larger number of information channels and more social reinforcement chances for niche actors to innovate. Overall, results suggest that policy makers should accompany and ease the innovation-niche evolution path by fostering the participation of the laggard behind and actors' clusterization, moderating any possible lock-in risk.

Open Access: Yes

DOI: 10.1016/j.socnet.2025.08.005

Comprehensive Analysis of Radial- and Axial Flux Synchronous Reluctance Machines for Electric Vehicle Applications

Tibor Vajsz Csongor Horváth Richárd Csaba Kovács Vilmos Paiss Dániel Norbert Szántó István Szászi

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2026-01-01

Volume: 1768 LNNS

Issue: Unknown

Page Range: 399-420

Description:

Synchronous Reluctance Machines (SRMs) have been gaining considerable research interest recently because of the absence of the permanent magnets (no rare-earth materials), their robust construction and high partial load efficiency. Their inherently lower torque density compared to permanent magnet synchronous machines remains a challenge. However, adopting an axial flux topology could potentially improve this feature. This paper analyzes the properties of the axial flux configuration and compares them with those of the traditional radial flux topology for synchronous reluctance machines used in electric vehicles. The paper focuses on the differences in the torque-production, in the efficiency, in the torque densities and in the weight and the physical dimensions. Additionally, this paper examines the material costs for the two machine types and investigates their predicted future prices to determine the more cost-effective solution for electric vehicle applications. Simulation investigations will be carried out to examine these properties. It will be shown that the axial flux topology is an attractive alternative to the nowadays widely used radial flux one in the case of synchronous reluctance machines of electric vehicles.

Open Access: Yes

DOI: 10.1007/978-3-032-13898-9_45