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Publications - 6383

Spectral properties of fullerene graphs

Tomislav Došlić Tamás Réti

Publication Name: Match

Publication Date: 2011-12-01

Volume: 66

Issue: 3

Page Range: 733-742

Description:

We use a result from the theory of geometric representation of graphs to show that the separator of a fullerene graph on n vertices cannot exceed 24/n, thus improving the best currently known upper bound of 1-3/n. The result is then combined with a recently established upper bound on the smallest eigenvalue of fullerene graphs to show that there are only finitely many Ramanujan fullerenes. That settles down a conjecture on fullerenes made by the Graffiti software.

Open Access: Yes

DOI: DOI not available

A Clothoid-based Local Trajectory Planner with Extended Kalman Filter

Erno Horváth Gergo Igneczi

Publication Name: Sami 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics Proceedings

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 467-472

Description:

The paper introduces a local trajectory planner designed specifically for lateral guidance of autonomous vehicles. The inputs of the planner are the lane edges in the form of corner point coordinates in a two-dimensional plane. The aim of the planner is to provide a series of trajectory points ahead of the vehicle. The trajectory shall be well-conditioned which means no border violation (safety), no high lateral acceleration (comfort) and good tracking properties. The optimal conditions for driving have been found in using clothoid curves. The curvature of the clothoid is a linear function of the distance, which resolves the biggest disadvantage of circle conjunction: the discontinuity of the lateral acceleration. Clothoids have constant lateral jerk profile. In our work an Extended Kalman Filter is used with a clothoid model to consolidate inaccuracies of the lane detection system. The paper is presented as the first part of a research process. The algorithm introduced in this paper is planned to be continued with research on its automatized calibration procedures.

Open Access: Yes

DOI: 10.1109/SAMI54271.2022.9780857

Evaluating autonomous urban freight solutions for smart and sustainable cities: A single valued neutrosophic multiple triangles scenarios model

Irina Vinogradova-Zinkevič Shervin Zakeri Pavan Kumar V Prasenjit Chatterjee Abhijit Saha Irina Vinogradova-Zinkevič Pavan Kumar V

Publication Name: Engineering Applications of Artificial Intelligence

Publication Date: 2025-12-24

Volume: 162

Issue: Unknown

Page Range: Unknown

Description:

The evaluation of autonomous urban freight logistics (UFL) solutions is crucial due to the increasing need for efficient and sustainable transportation systems in urban areas. Optimizing UFL possibilities becomes essential for developing smart city projects as cities expand and the need for reliable logistical services increases. This study introduces an artificial intelligence (AI)-driven framework for group decision-making in UFL evaluation. It develops single-valued neutrosophic (SVN) Copula-Dombi averaging and geometric operators that act as AI reasoning tools, capable of handling uncertainty, contradiction, and indeterminacy beyond classical models. To improve reliability and agreement among decision-makers, the study also presents a consensus-based SVN Copula-Dombi multiple triangles scenarios (MUTRISS) decision support model. The model is tested on a real case in India. It evaluates drones, electric light commercial vehicles (e-LCVs), autonomous e-LCVs, and droids as UFL solutions. Twelve criteria are used, and their weights are set with an optimization model. Results show drones rank first with a score of 0.6055, followed by droids at 0.6033. The study also checks robustness through comparison and sensitivity tests. The study supports smart city logistics and sustainable urban development by assisting logistics managers and city authorities in selecting appropriate autonomous UFL systems.

Open Access: Yes

DOI: 10.1016/j.engappai.2025.112700

Tracing Knowledge Diffusion Trajectories in Scholarly Bitcoin Research: Co-Word and Main Path Analyses

Suhaiza Zailani Abderahman Rejeb Karim Rejeb Khalil Alnabulsi

Publication Name: Journal of Risk and Financial Management

Publication Date: 2023-08-01

Volume: 16

Issue: 8

Page Range: Unknown

Description:

In the burgeoning field of bitcoin research, a cohesive understanding of how knowledge and insights have evolved over time is lacking. This study aims to address this gap through an exploration of 4123 academic articles pertaining to bitcoin. Utilizing co-word analysis and main path analysis (MPA), it uncovers key themes and seminal works that have substantially influenced the field’s progression. The identified clusters, including safe haven, internet of things (IoT), proof of work (PoW), market efficiency, sentiment analysis, digital currency, and privacy, shed light on the multifaceted discourse surrounding bitcoin. The MPA, incorporating both forward and backward local paths, traces an evolving narrative, starting from an in-depth exploration of bitcoin’s structure, anonymity, and contrasts against traditional financial assets. It tracks the shift in focus to broader market dynamics, volatility, speculative nature, and reactions to economic policy fluctuations. The analysis underscores the transformation of bitcoin research, from its beginnings as a decentralized, privacy-oriented currency to its role in global economics and green financing, revealing a complex narrative of an innovative financial instrument to a multifaceted entity. Implications drawn from this analysis include the need for further research on the potential integration of bitcoin within emerging technologies like AI and cybersecurity, the implications of bitcoin’s interplay with traditional financial systems, and the environmental impacts of bitcoin and blockchain utilization. Overall, the current study not only enhances our understanding of the bitcoin field but also charts its dynamic evolution and stimulates further academic inquiry.

Open Access: Yes

DOI: 10.3390/jrfm16080355

Examining Knowledge Diffusion in the Circular Economy Domain: a Main Path Analysis

Yasanur Kayikci Suhaiza Zailani John G. Keogh Abderahman Rejeb Karim Rejeb

Publication Name: Circular Economy and Sustainability

Publication Date: 2023-03-01

Volume: 3

Issue: 1

Page Range: 125-166

Description:

The circular economy (CE) field has recently attracted significant interest from academics and practitioners. CE represents a departure from the linear economy, which is characterised by unsustainable resource production and consumption. The growing number of publications necessitates a comprehensive analysis of this field. This is the first systematic examination of the knowledge base and knowledge diffusion pathways in the CE domain. We analyse a Web of Science dataset containing 5431 articles published between 1970 and 2020. To create a comprehensive review of the CE domain, we conducted a keyword co-occurrence network analysis. We examined four distinct types of main paths using the main path analysis (MPA) technique: forward, backward, global, and key-route. According to the analyses, CE research focuses on six primary research themes: CE and sustainability, bioeconomy, CE practices, lifecycle assessment and industrial symbiosis, construction activities, and waste management. In addition, the MPA demonstrates that the CE literature has recently focused on Industry 4.0 technologies and their contribution to CE. This is the first attempt to depict the genealogy of CE research so that scholars can comprehend the domain’s evolutionary structure, identify hot topics, and capture the history, development status, and potential future directions of CE research.

Open Access: Yes

DOI: 10.1007/s43615-022-00189-3

The Impact of the Multicultural Education on Students’ Attitudes in Business Higher Education Institutions

Péter Karácsony Péter Huszka Mikhail V. Vinichenko Vivien Pásztóová

Publication Name: Education Sciences

Publication Date: 2022-03-01

Volume: 12

Issue: 3

Page Range: Unknown

Description:

The research aims to assess the cultural diversity of international students studying in higher education institutions. The results of the research provide an overview of the attitude of students studying in institutions of higher education to learning, the factors influencing their studies, and their expectations for their studies abroad. One type of quantitative research method, the questionnaire, was chosen for the primary research. The research results reflect the perspectives of students from different cultural backgrounds in institutions of higher education and focus on the phenomena and situations they experience. Following the hypothesis test results, an outcome can be seen that students believe that their studies in higher education provide a good foundation for their personal development. The results also confirmed that learning in a multicultural environment could positively affect students’ working abilities.

Open Access: Yes

DOI: 10.3390/educsci12030173

A hybrid decision making focused on legal processes

Krisztina Varlaki Péter Baranyi

Publication Name: 9th IEEE International Conference on Cognitive Infocommunications Coginfocom 2018 Proceedings

Publication Date: 2018-07-02

Volume: Unknown

Issue: Unknown

Page Range: 411-416

Description:

In this paper we propose a soft computing-based solution to assess multivariate prediction ability in legal decision-making process. The proposed method is capable of incorporating prior knowledge. The main goal is, automatizing legal decision making, which is complex, complicated and often characterized by broad vigilance. The aim is helping legal practitioners to be able to focus not only on the decision itself, rather the correlations between them and combining of their variations as well. This way a "hybrid" thinking would be performed. The system will be able to "think through" a great number of possible variations of decisions and their combinations synchronized with the speed of the human mind.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2018.8639868

Investigation of the surface morphology on epitaxially grown fullerene structures

Ákos Nemcsics R. Adelung Imre Mojzes L. Kipp Szilvia Nagy S. Woedtke R. Schwedhelm

Publication Name: Vacuum

Publication Date: 2009-08-25

Volume: 84

Issue: 1

Page Range: 152-154

Description:

Fullerene layers molecular beam epitaxially grown on, a vanadium-selenide substrate are investigated and the morphology of the layered structures is studied. The individual layer morphologies are derived from the atomic force microscopy picture of the surface. The pattern morphology of certain layers is analyzed by a box counting method. The surface morphology shows fractal behaviour. The pattern of each layer shows different dimensions. The actual dimension depends on the actual distance of the layer from the substrate. The change of the dimension is attributed to the change of the binding behaviour. The topology of the surface is also studied using participation ratio and structural entropy calculations. © 2009 Elsevier Ltd. All rights reserved.

Open Access: Yes

DOI: 10.1016/j.vacuum.2009.04.060

Comparative Evaluation of Forming Limit Curve Models for AlMg Alloys †

Dóra Harangozó Imre Czinege

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

This publication deals with the comparative analysis of theoretical and empirical models suitable for predicting forming limit curves in the case of aluminum–magnesium alloys. The Stören–Rice and Hill–Bressan–Williams equations were evaluated and justified by inverse parameter identification. They showed good agreement with the measured strain values. Using the graphical Modified Maximum Force Criterion, it was demonstrated that the Voce hardening law is more suitable than the Swift one for characterizing this group of alloys, but the weighted combination of the two hardening laws is preferable.

Open Access: Yes

DOI: 10.3390/engproc2024079005