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Publications - 6289

A New Type of Motor Topology for Reducing the Torque Ripples in Synchronous Reluctance Motor Drives of Electric Vehicles

István Szászi Tibor Vajsz Csongor Horváth Richárd Csaba Kovács Vilmos Paiss István Szászi

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1258 LNNS

Issue: Unknown

Page Range: 528-540

Description:

Electric vehicle applications are one of the most popular topics in the case of electric motor research & development activities. Novel types of electric motor solutions, offering new advantages are gaining significant attention today. Synchronous reluctance motors (SynRMs) have several advantages that are particularly useful in the case of electric vehicle applications. Their lower costs, their robust buildup and their excellent efficiency are all features that are greatly desired in the case of electric mobility applications. However, SynRMs are well known in the literature for producing more torque ripples with the conventional torque control methods. One way to reduce the torque ripples is to use advanced torque control algorithms. The other way is to use optimized motor topologies with the conventional torque control algorithms. The paper aims at the investigation of the motor design concepts that could be applied for reducing the torque ripples of a SynRM drive. It will be analyzed whether the typical relationships and concepts that are used for minimizing the torque ripples in the case of a PMSM can also be applied for a SynRM or not. Simulations will be carried out in JMAG environment to validate the new concepts. The reduced amount of the torque ripples leads to a less amount of audible noise, which can be an advantage in the case of certain electric vehicle applications and for certain customers.

Open Access: Yes

DOI: 10.1007/978-3-031-81799-1_48

Reconstructing the Definition of Space Debris

Gábor Sulyok Mónika Ganczer

Publication Name: Air and Space Law

Publication Date: 2025-12-01

Volume: 50

Issue: 6

Page Range: 537-558

Description:

The international community has realized that space debris is a global concern that should be addressed with a sense of urgency. Keeping in mind the limitations of the prevailing normative framework, the optimal solution would be to address the problem by way of universal lawmaking. However, any universal lawmaking effort presupposes the creation of a uniform definition of space debris. Non-binding international standards and national documents currently contain a variety of definitions. The coexistence of divergent definitions may lead to fragmentation and legal uncertainty, and their restrictive approach may become untenable as humankind ventures deeper into outer space. Based upon these considerations and adopting a proactive mindset, the present paper aims to re-evaluate the prevailing definitions with a view to proposing a comprehensive, feasible and durable definition covering all extant and future forms of space debris. The analysis commences with an overview of selected universal, regional and national definitions. This is followed by the identification, reassessment and possible revision of shared elements of the definitions concerned. The reassessed and revised elements are then assembled to propose a new definition to contribute to the ongoing discussion on space debris.

Open Access: Yes

DOI: 10.54648/aila2025059

Stress Analysis of Pressing Joint of Two Conical Pipes - Part 2

Roland Jančo

Publication Name: Strojnicky Casopis

Publication Date: 2024-11-01

Volume: 74

Issue: 2

Page Range: 43-48

Description:

The paper presents a strength analysis of a pressed joint of two conical pipes with the aim of finding out whether this method of connection is suitable for telecommunication masts. In this paper, a solution using an engineering approach and a finite element method (FEM) numerical analysis for transversal direction will be compared.

Open Access: Yes

DOI: 10.2478/scjme-2024-0024

Effects of Loading Positions on Lower Limb Biomechanics During Lunge Squat in Men with Different Training Experience

Gusztáv Fekete Zixiang Gao Lidong Gao Fekete Gusztav

Publication Name: Physical Activity and Health

Publication Date: 2025-01-01

Volume: 9

Issue: 1

Page Range: 198-213

Description:

Background: The lunge exercise is commonly adopted in public fitness programs. However, inadequate training experience and knowledge may result in improper actions, resulting in lowering training efficacy and possibly causing exercise-related diseases. Methods: Twenty-four male fitness trainees (12 novices and 12 experienced seniors) were recruited. Kinematics, kinetics, and muscle activation were measured during forward and backward lunges with different loading positions. Two-way repeated measures ANOVA and one-dimensional statistical parametric mapping (SPM1D) were employed to explore various between training experience across different loading positions and lunge directions. Results: Hip, knee, and ankle ROM and angle peaks were significantly greater in novices than in seniors (P < 0.001). During forward lunges, dumbbells reduced hip moments and stiffness in novices (P < 0.001), while barbells increased ankle moments in seniors (P = 0.022). In the backward lunges, novices showed increased negative power and significant joint instability with dumbbells. Conclusions: Training experience is the significant influence during male lunge exercises. Novices show more stability when using dumbbells instead of barbells for forward lunges. Novices are less stable during backward lunges than more experienced seniors. Overall, novices get a greater benefit of training with dumbbells, while seniors are less likely to hurt their knees and ankles when they use barbells.

Open Access: Yes

DOI: 10.5334/PAAH.489

Building Diagnostics Options for Existing Buildings – Innovative Methods

Ádám Bukovics Kitti Karolyfi Dóra Szalai Zsolt Szűrös Rita Rebeka Ördög

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 793-798

Description:

The increasing number of buildings, due to erosion and extraordinary effects, has increasingly made technological advancements focused on innovative methods possible. This has become more prominent alongside traditional practices such as visual inspection and destructive building diagnostic methods. Thanks to the continuous development of tools, technologies and methodologies, the accurate and detailed digital mapping of buildings (including all their aspects) is available. Among these solutions, the laser scanner point cloud is the most popular due to its high level of detail. The newly emerging and now widespread survey procedures based on laser, photogrammetric remote sensing reflect a real-time, current state of the buildings, which maximizes the accuracy of the Building Information Model (BIM) - Historic Building Information Model (HBIM) completed in the later phases and helps detect structural or surface defects. This study presents the analyzing techniques of point clouds to diagnose buildings, assess their condition, identify errors, and develop sustainability strategies. It also explores areas that require further research and development to enhance the effectiveness of these methods. In the first phase of the paper, the currently used point cloud generation technologies (e.g.: laser scanning, photogrammetry, light detection and ranging (LiDAR)) will be presented with their advantages and disadvantages. The research methodology was conducted using the VOSviewer software to visually analyze bibliometric networks from a dataset of scientific publications, focusing on trends in structural health monitoring and highlighting key areas such as damage detection, computer vision, and AI-based techniques. In the second phase of the study, the possibilities of the analysis of point clouds and image processing-based survey options for structural diagnostic purposes will be explained and presented. The evaluation of the three damage detection methodologies (Geometrical features, Color and intensity information, Combined Method) highlights their complexity, technological requirements, cost, practical applicability, and accuracy. During the analysis, the goal is to map and systematize innovative methods supported by digital tools for diagnostic tasks in existing buildings.

Open Access: Yes

DOI: 10.3303/CET24114133

TP Transformation Based Controller and Observer Design of the Inverted Pendulum

Miklós Kuczmann Andrea Weber

Publication Name: Przeglad Elektrotechniczny

Publication Date: 2022-01-01

Volume: 98

Issue: 10

Page Range: 34-39

Description:

The paper discusses that applying of CNO and IRNO type weighting functions results different TP models, including controller and observer. Selection of weighting functions has influence on the TP model transformation and the LMI based design. Present paper introduces the LMI based observer and controller design of the inverted pendulum via the TP model transformation based method using CNO and IRNO type weighting functions. The TP transformation is accomplished by qLPV modeling and HOSVD method. The paper gives a conclusion and a comparison of the original and estimated state variables and the impact of applying two types of weighting functions. The aim of present paper is to prove that using different type of weighting functions influences the TP models and LMI methods, but LMIs still result feasible solution for controller and observer design. Furthermore the modification allows to choose the better controller/observer.

Open Access: Yes

DOI: 10.15199/48.2022.10.06

PLS-SEM in public procurement research: a systematic review of theoretical foundations, constructs and empirical insights

Abderahman Rejeb Ismail Abdi Changalima Honest Fidelis Kimario

Publication Name: Journal of Public Procurement

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: 1-49

Description:

Purpose – This paper aims to systematically review key theories, constructs and empirical findings from studies that applied partial least squares structural equation modelling (PLS-SEM) within domains of public procurement research. Design/methodology/approach – In this study, a systematic literature review was conducted, from which 37 relevant publications from Scopus and Web of Science (WoS) that met the inclusion criteria and published between 2010 and 2024 were analysed. Findings – Over the period of 15 years, PLS-SEM has been widely applied in public procurement research, especially in developing countries. Past research from 2010 to 2014 focused solely on e-procurement adoption and implementation, whereas from 2015 to 2019, research interests included e-procurement adoption and implementation, strategic alliances and other aspects of the construction industry. Recent studies from 2020 to 2024 further emphasise contemporary issues such as sustainability, innovation, technology adoption and performance. Institutional theory dominates as the primary theoretical lens, followed by resource-based view and agency theory. Key constructs are based on e-procurement, user perceptions, system quality, governance, innovation, sustainability, risks and performance. Despite growing interests, little is known on evidence from moderated mediation analysis, and most reviewed studies revealed mixed research findings in the research field, offering rich opportunities for future research. Social implications – The paper enhances evidence-based policymaking grounded from consolidated theoretical foundations, constructs and findings from the public procurement research. This is relevant for improving public procurement processes, and support transparency and efficiency in the public sector. Technological aspects associated with Internet of Things, artificial intelligence and blockchain have received little attention in public procurement research. Therefore, future studies should consider these technologies, as they have substantial social implications. Originality/value – To the best of the authors’ knowledge, this is the first comprehensive review that consolidates studies using PLS-SEM in public procurement research from Scopus and WoS. This review provides a foundational reference point for future research and offers a clearer picture that shapes the thematic direction of future studies that use PLS-SEM in public procurement research.

Open Access: Yes

DOI: 10.1108/JOPP-06-2025-0056

Monocular Curb Edge Detection via Robust Geometric Correspondences

Áron Ballagi Zoltan Rozsa Zoltan Rozsa Norbert Marko Tamas Sziranyi

Publication Name: Applied Sciences Switzerland

Publication Date: 2025-12-01

Volume: 15

Issue: 24

Page Range: Unknown

Description:

Advanced driver-assistance and autonomous systems require perception that is both robust and affordable. Monocular cameras are promising due to their ubiquity and low cost, yet detecting abrupt road surface irregularities such as curbs and bumps remains challenging. These sudden road gradient changes are often only a few centimeters high, making them difficult to detect and resolve from a single moving camera. We hypothesize that stable image-based homography, derived from robust geometric correspondences, is a viable method for predicting sudden road surface gradient changes. To this end, we propose a monocular, geometry-driven pipeline that combines transformer-based feature matching, homography decomposition, temporal filtering, and late-stage IMU fusion. In addition, we introduce a dedicated dataset with synchronized camera and ground-truth measurements for reproducible evaluation under diverse urban conditions. We conduct a targeted feasibility study on six scenarios specifically recorded for small, safety-relevant discontinuities (four curb approaches, two speed bumps). Homography-based cues provide reliable early signatures for curbs (3/4 curb sequences detected at a 5 cm threshold). These results establish feasibility for monocular, geometric curb detection and motivate larger-scale validation. The code and the collected data will be made publicly available.

Open Access: Yes

DOI: 10.3390/app152412922

Integrated Rough AHP and Neural Network Model for Mobile Phone Selection with Big Data Under Uncertainty

Hamed Fazlollahtabar Dragan Pamucar Mohammadmahdi Abbaspour

Publication Name: Journal of Intelligent and Fuzzy Systems

Publication Date: 2025-12-01

Volume: 49

Issue: 6

Page Range: 1414-1427

Description:

This paper applied an integrated approach to Multi-Attribute Decision Making (MADM) by combining the Rough Analytic Hierarchy Process (RAHP) and Neural Network, specifically a Multi-Layer Perceptron (MLP) for a specific problem of smartphone selection. The Rough Analytic Hierarchy Process, grounded in rough set theory, proves adept at handling uncertainties in decision-making processes. Through the integration of RAHP and MLP, this study provides a comprehensive framework for ranking mobile phone criteria, focusing on camera quality, selfie capabilities, audio performance, display features, battery life, and pricing. The practical example employed demonstrates the applicability of the proposed methodology in real-world decision-making scenarios, the fusion of RAHP and MLP emerges as a potent solution for Multiple Attribute Decision Making (MADM) problems, offering decision-makers confidence in navigating intricate scenarios. This integrated approach signifies a new era of robust decision-making, enhancing outcomes across diverse domains by synergizing structured prioritization and uncertainty management. The paper proceeds with a literature review, outlining existing approaches in decision-making scenarios. The methods section details the operations with rough numbers, the Rough Analytic Hierarchy Process, and the Multi-Layer Perceptron. A numerical example of mobile phone selection is presented, illustrating the application of the integrated approach. In the presented numerical example, two scenarios are provided: one without a price criterion and another with a price criterion. In the price-less scenario, the Honor Magic5 Pro is chosen, while in the scenario considering price, the Oppo Find X6 Pro is selected as the best option.

Open Access: Yes

DOI: 10.1177/10641246251333580