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Publications - 6515

A new method applied for explaining the landing patterns: Interpretability analysis of machine learning

Yaodong Gu Gusztáv Fekete Wenjing Quan Datao Xu Huiyu Zhou Ukadike Chris Ugbolue

Publication Name: Heliyon

Publication Date: 2024-02-29

Volume: 10

Issue: 4

Page Range: Unknown

Description:

As one of many fundamental sports techniques, the landing maneuver is also frequently used in clinical injury screening and diagnosis. However, the landing patterns are different under different constraints, which will cause great difficulties for clinical experts in clinical diagnosis. Machine learning (ML) have been very successful in solving a variety of clinical diagnosis tasks, but they all have the disadvantage of being black boxes and rarely provide and explain useful information about the reasons for making a particular decision. The current work validates the feasibility of applying an explainable ML (XML) model constructed by Layer-wise Relevance Propagation (LRP) for landing pattern recognition in clinical biomechanics. This study collected 560 groups landing data. By incorporating these landing data into the XML model as input signals, the prediction results were interpreted based on the relevance score (RS) derived from LRP. The interpretation obtained from XML was evaluated comprehensively from the statistical perspective based on Statistical Parametric Mapping (SPM) and Effect Size. The RS has excellent statistical characteristics in the interpretation of landing patterns between classes, and also conforms to the clinical characteristics of landing pattern recognition. The current work highlights the applicability of XML methods that can not only satisfy the traditional decision problem between classes, but also largely solve the lack of transparency in landing pattern recognition. We provide a feasible framework for realizing interpretability of ML decision results in landing analysis, providing a methodological reference and solid foundation for future clinical diagnosis and biomechanical analysis.

Open Access: Yes

DOI: 10.1016/j.heliyon.2024.e26052

The Most Significant Case of Military Supplier Fraud in Hungary During the First World War: The Criminal Judgement of the Cloth-Fraud Case Based on the Judgements of the Military Courts of the Time

Róbert Bartkó Roland Kelemen

Publication Name: Journal on European History of Law

Publication Date: 2025-01-01

Volume: 16

Issue: 1

Page Range: 154-161

Description:

In the first year of the First World War, several cases of war transport abuse came to light in Hungary, which were of great social interest and caused extremely significant material and moral damage. One of the largest of these was the so-called baized fraud case. The special feature of these cases is that some of the defendants are military personnel, while others have civilian status. In Hungary, the practice has developed that both categories of persons are tried by military courts. This study aims to provide a comprehensive overview of the historical facts of the case, the legal context of the case and the decisions of the courts at first and second instance.

Open Access: Yes

DOI: DOI not available

Fuzzy approach to utility of time factor

János Botzheim Péter Földesi Edit Süle

Publication Name: Isciii 09 4th International Symposium on Computational Intelligence and Intelligent Informatics Proceedings

Publication Date: 2009-12-28

Volume: Unknown

Issue: Unknown

Page Range: 23-29

Description:

The paper deals with the investigation of the critical factor of the supply chain concerning time factor. The literature review can give a background to understand and handle the reasons and consequences of the growing importance of time. By using utility functions to represent the value of various delivery-times for the different participants in the supply chain, including the final customers, it proves through the Kano-model, that the choices, behaviour and willingness of payment of time-sensitive and non time-sensitive consumers are different for varying lead times, so for optimization soft computing techniques must be applied. As the functions are not linear and significant uncertainty must be handled as well, the use of fuzzy numbers is necessary. The features of fuzzy power functions are investigated, and a parametric approaches is presented that can be an efficient approximation of the values calculated on the basis of extension principle. © 2009 IEEE.

Open Access: Yes

DOI: 10.1109/ISCIII.2009.5342282

Advancing Lubrication Modeling: A Preliminary Study of Finite Element Solutions for Cavitation-Aware Reynolds Equation †

B. Pere Martin Lénárt

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

In the modern automotive industry, one of the most challenging tasks is minimizing energy losses caused by friction. Despite its significance, only a limited number of numerical simulation tools are available for effectively addressing lubrication-related problems. The accurate modeling of lubrication phenomena requires solving a specialized form of the Navier–Stokes equations, which accounts for cavitation effects within a thin fluid film. To address this, a finite element software is currently under development to solve the Reynolds equation while incorporating cavitation effect. This advanced tool enables the precise simulation of how the microgeometry of contacting surfaces influences the lubrication characteristics of the fluid film. By optimizing these surface features, the research aims not only to reduce energy dissipation but also to ensure the long-term durability of mechanical components. The findings obtained thus far demonstrate promising improvements in lubrication efficiency and structural longevity. These results, along with the methodological advancements, will be presented in detail at the upcoming conference.

Open Access: Yes

DOI: 10.3390/engproc2025113002

Optimizing structural topology design through consideration of fatigue crack propagation

Majid Movahedi Rad Muayad Habashneh

Publication Name: Computer Methods in Applied Mechanics and Engineering

Publication Date: 2024-02-01

Volume: 419

Issue: Unknown

Page Range: Unknown

Description:

This paper presents an advanced approach for structural topology optimization by incorporating fatigue crack propagation analysis. The extended finite element method (X-FEM) is employed to model initial crack propagation, while the Paris model serves as the basis for simulating fatigue crack growth. The proposed methodology aims to optimize the structural design by minimizing compliance while considering volume and fatigue constraints. The proposed method employs the developed bi-directional evolutionary structural optimization (BESO) algorithm. The accuracy of the proposed technique is validated through the solution of benchmark problem and is further demonstrated in its effectiveness and robustness by examining several numerical examples. The optimization process considers various crack conditions, including the absence of cracks, horizontal and vertical cracks of different lengths. The optimized topologies obtained through the proposed algorithm clearly demonstrate the impact of crack presence, crack direction, and crack length on the material distribution. Furthermore, the convergence histories of the objective function, represented by mean compliance, highlight the influence of crack length on the stiffness and converged compliance of the structure. The results demonstrate its ability to adapt the material distribution based on fatigue cracks propagation conditions and achieve optimal topologies that balance structural integrity and performance.

Open Access: Yes

DOI: 10.1016/j.cma.2023.116629

Genetic diversity and phylogenetic relationship of Angus herds in Hungary and analyses of their production traits

Judit Márton Attila Zsolnai Ferenc Szabó István Anton

Publication Name: Animal Bioscience

Publication Date: 2024-02-01

Volume: 37

Issue: 2

Page Range: 184-192

Description:

Objective: This study aims to investigate the genetic structure and characteristics of the Angus cattle population in Hungary. The survey was performed with the assistance of the Hungarian Hereford, Angus, Galloway Association (HHAGA). Methods: Genetic parameters of 1,369 animals from 16 Angus herds were analyzed using the genotyping results of 12 microsatellite markers with the aid of PowerMarker, Genalex, GDA-NT2021, and STRUCTURE software. Genotyping of DNA was performed using an automated genetic analyzer. Based on pairwise identity by state values of animals, the Python networkx 2.3 library was used for network analysis of the breed and to identify the central animals. Results: The observed numbers of alleles on the 12 loci under investigation ranged from 11 to 18. The average effective number of alleles was 3.201. The overall expected heterozygosity was 0.659 and the observed heterozygosity was 0.710. Four groups were detected among the 16 Angus herds. The breeders’ information validated the grouping results and facilitated the comparison of birth weight, age at first calving, number of calves born and productive lifespan data between the four groups, revealing significant differences. We identified the central animals/herd of the Angus population in Hungary. The match of our group descriptions with the phenotypic data provided by the breeders further underscores the value of cooperation between breeders and researchers. Conclusion: The observation that significant differences in the measured traits occurred among the identified groups paves the way to further enhancement of breeding efficiency. Our findings have the potential to aid the development of new breeding strategies and help breeders keep the Angus populations in Hungary under genetic supervision. Based on our results the efficient use of an upcoming genomic selection can, in some cases, significantly improve birth weight, age at first calving, number of calves born and the productive lifespan of animals.

Open Access: Yes

DOI: 10.5713/ab.23.0157

A Novel Approach to the Operationalization of Corporate Local Embeddedness: Cultural Perspectives on Narrativesas Indicators

Zsuzsanna Pálffy

Publication Name: European Journal of Interdisciplinary Studies

Publication Date: 2025-01-01

Volume: 17

Issue: 1

Page Range: 101-123

Description:

Corporate embeddedness, the extent to which companies anchor themselves in a local context through political, economic, academic, social, andenvironmental connections, remains a key area of research in social and regional sciences. Due to the limited availability of secondary data on corporate relationships, measurement methods often rely on qualitative data. Corporate communication, especially CEO letters in annual reports, is a frequently neglected secondary data source that has grown in significance in meeting stakeholder expectations and providing insights into corporate strategies and operations. Despite the growing scholarly interest in CEO letters, little is known about embeddedness narratives and the cultural factors that influence them. Through an analysis of the cultural variations in embeddedness narratives found in CEO letters from the fashion and cosmetics industries, this study suggests a novel approach to operationalising corporate localembeddedness. The focus on these sectors is justified by the significant variations in embeddedness orientations across industries and the accessibility of relevant data. The study finds that CEO letters can serve as a complementary data source for assessing corporate embeddedness, as they reveal both local and global orientations. Using software-based content analysis, key themes and keywords were identified along the Quintuple Helix model, providing a structured approach to analysing embeddedness. The results highlight cultural influences, with reactive cultures emphasising social sustainability, while academic engagement challenges existing assumptions. In addition to reflecting corporate strategies, CEO letters offer insights into sectoral characteristics. However, more qualitative research is still required to fully comprehend a company’s level of embedding.

Open Access: Yes

DOI: 10.24818/ejis.2025.07

New energy management of capacitive energy storage in metro railcar by simulation

István Szénásy

Publication Name: 5th IEEE Vehicle Power and Propulsion Conference Vppc 09

Publication Date: 2009-12-23

Volume: Unknown

Issue: Unknown

Page Range: 181-187

Description:

This paper focuses on the use of modeling and simulation of a renewable energy. The capacitive energy storages contribute to the rapid energy recovery associated with regenerative braking in electric vehicles. This power system allows the acceleration and deceleration of the vehicle with a lower loss of energy. Short-distance passenger traffic on electrified lines is a domain where brake energy recuperation might reduce the total energy consumption significantly. In this paper the results of simulation models by Matlab-Simulink for an urban-metro railcar and some methods for reducing the needed value of capacitance are presented. The aim of the new management of the energy storage system for decreasing the needed value of capacitance and improving the system performance is presented. © 2009 IEEE.

Open Access: Yes

DOI: 10.1109/VPPC.2009.5289852

Modular code generation for creating IoT applications

Gábor Paller Gábor Élo

Publication Name: International Conference on Electrical Computer Communications and Mechatronics Engineering Iceccme 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This paper builds on an earlier work that aims to generate code for connected digital systems (IoT, Internet of Things). Orcc-IoT was the adaptation of the Orcc dataflow design environment and code generator to the IoT problem area. IoT systems are characterized by heterogeneity of both the software and hardware environments therefore code generators targeting them must be able to handle embedded, client and server enviroments too. The first version of Orcc-IoT provided simplistic code generators. The extensions presented in this paper add embedded and server-side modules and more specialized wireless communication options to test Orcc-IoT's modular architecture.

Open Access: Yes

DOI: 10.1109/ICECCME55909.2022.9987980