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Found 6525 publications

Identification of the 2D vector Preisach hysteresis model

Miklós Kuczmann

Publication Name: COMPEL the International Journal for Computation and Mathematics in Electrical and Electronic Engineering

Publication Date: 2011-03-14

Volume: 30

Issue: 2

Page Range: 538-551

Description:

Purpose-The purpose of this paper is to present a Preisach model to simulate the vector hysteresis properties of ferromagnetic materials. Design/methodology/approach-The vector behavior has been studied at low frequency applying a single-sheet tester with a round-shaped specimen, and the locus of the magnetic flux density vector has been controlled by a digital measurement system. An inverse vector Preisach hysteresis model has been developed and identified by using the measured data. Findings-Finally, the inverse model has been inserted into a finite element procedure through the combination of the fixed point technique and the reduced magnetic scalar potential formulation. The developed single-sheet tester measurement system has been simulated. The applicability of the realized measurement system as well as the developed model has been proven by comparing measured and simulated results. Originality/value-The identification technique is original, based on a previous work of the author. © Emerald Group Publishing Limited.

Open Access: Yes

DOI: 10.1108/03321641111101069

A Comparative Evaluation of Classical and Deep Learning-Based Visual Odometry Methods for Autonomous Vehicle Navigation †

Janos Hollosi Armand Nagy

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

This study introduces a comprehensive benchmarking framework for evaluating visual odometry (VO) methods, combining classical, learning-based, and hybrid approaches. We assess 52 configurations—spanning 19 keypoint detectors, 21 descriptors, and 4 matchers—across two widely used benchmark datasets: KITTI and EuRoC. Six key trajectory metrics, including Absolute Trajectory Error (ATE) and Final Displacement Error (FDE), provide a detailed performance comparison under various environmental conditions, such as motion blur, occlusions, and dynamic lighting. Our results highlight the critical role of feature matchers, with the LightGlue–SIFT combination consistently outperforming others across both datasets. Additionally, learning-based matchers can be integrated with classical pipelines, improving robustness without requiring end-to-end training. Hybrid configurations combining classical detectors with learned components offer a balanced trade-off between accuracy, robustness, and computational efficiency, making them suitable for real-world applications in autonomous systems and robotics.

Open Access: Yes

DOI: 10.3390/engproc2025113016

Correspondences between Hungarian women's marital names and the traditional family schema

Baranyiné Kóczy Judit

Publication Name: Cognitive Linguistic Studies in Cultural Contexts

Publication Date: 2021-01-01

Volume: 14

Issue: Unknown

Page Range: 151-183

Description:

A marital name makes a statement about women's cultural values with respect to their family schemas. In Hungary, adopting the husband's full name by marriage is no longer required, thus women have the opportunity to choose from seven different name structures. The paper aims to uncover the motivations behind women's preference for marital name structures as influenced by the traditional family schema that they maintain in their background. Data for this analysis is extracted from a questionnaire distributed to 533 women, which seek to obtain information on key elements of the traditional family schema. Results do not reveal a direct correlation between the selection of marital names and any single component of the traditional family schema; however, overall the results of the survey outline a systematic correspondence between marital names and women's conformity or non-conformity to the traditional family schema. In conclusion, the various marital name structures reflect diverse family schemas, in particular, they are representatives of Hungarian women's different extent of adherence to the traditional family schema.

Open Access: Yes

DOI: 10.1075/clscc.14.08koc

Replacing Traditional Transmission Models with Artificial Intelligence †

Cs Tóth-Nagy Tamás Koller

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

The development of vehicle simulation models is becoming increasingly important, especially for the virtual validation of new automotive features. New methods are emerging that need to be tested and validated to ensure their proper functioning. The use of artificial intelligence methods can accelerate product development processes, so it is essential for companies to examine the applicability of these solutions. This article compares the results of a traditional rule-based transmission model and an artificial intelligence-based transmission model against real vehicle measurements. Creating a transmission model using the new artificial intelligence-based method requires less time and effort than developing a rule-based model. However, experimental data is required to train the model. This paper addresses the challenges of artificial intelligence-based transmission modeling and highlights the new advantages of artificial intelligence-based solutions.

Open Access: Yes

DOI: 10.3390/engproc2025113061

Robust blood-glucose control using Mathematica

Balázs Benyó László Török Levente Kovács Z. Benyó Béla Paláncz

Publication Name: Annual International Conference of the IEEE Engineering in Medicine and Biology Proceedings

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: 451-454

Description:

A robust control design on frequency domain using Mathematica is presented for regularization of glucose level in Type I diabetes persons under intensive care. The method originally proposed under Mathematica by Helton and Merino, [1] - now with an improved disturbance rejection constraint inequality - is employed, using the three-state minimal patient model of [2]. The robustness of the resulted high-order linear controller is demonstrated by nonlinear closed loop simulation in state-space, in case of standard meal disturbances and is compared with H∞ design implemented with the mu-toolbox of Matlab. The controller designed with model parameters represented the most favorable plant dynamics from the point of view of control purposes, can operate properly even in case of parameter values of the worst-case scenario. ©2006 IEEE.

Open Access: Yes

DOI: 10.1109/IEMBS.2006.259916

Vehicle Dynamics Measurements with a Unique Measuring System for Trams

Miklós Kuczmann Szabolcs Fischer Péter Böröcz Szabolcs Kocsis Szurke Vivien Jóvér Bence Hermán

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1258 LNNS

Issue: Unknown

Page Range: 24-33

Description:

One of the paramount challenges in contemporary urban transport is the efficient maintenance and operation of tramway tracks, aiming to maximize their lifespan while ensuring safe and comfortable passenger travel. Traditional methods of examining superstructure systems through observation and geometric measurements are insufficient; understanding the dynamics of vehicles adhering to their schedules is equally critical. To address this, we developed an innovative portable vehicle dynamics measurement system equipped with accelerometers and a GPS module (with GNSS system), facilitating real-time tram dynamics testing. This versatile device can be deployed at any time and on any tram, enabling continuous monitoring of track conditions. The dynamic data gathered can be systematically compared with geometric measurements, providing comprehensive insights into the railway track's condition and informing maintenance strategies. The paper consists of several examples for comparison (geometric and dynamic data series) and discusses how to develop the instrument further.

Open Access: Yes

DOI: 10.1007/978-3-031-81799-1_3

ModRTU InjectX: A Command Injection Simulation Tool for Industrial Cybersecurity Research

Zoltán Dobrády Timót Hidvégi Szilvia Nagy

Publication Name: 60th International Scientific Conference on Information Communication and Energy Systems and Technologies Icest 2025 Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

ModRTU_InjectX is a Python-based research tool with a graphical user interface, specifically designed for real-time monitoring, analysis, and command injection simulation within Modbus RTU industrial communication systems. The platform enables users to craft custom data packets and inject them into the serial communication channel using event-driven logic, effectively modelling realistic cyberattack scenarios. All communication is logged and can be exported in structured formats, making the system ideal for creating annotated datasets for training and validating machine learning-based intrusion detection systems. The tool supports parallel injection block configurations, evaluates attack effectiveness, and provides detailed statistical summaries. ModRTU_InjectX serves as a valuable contribution to the research infrastructure for industrial cybersecurity.

Open Access: Yes

DOI: 10.1109/ICEST66328.2025.11098380

Application of Spectroscopic Techniques in Heavy Metal Analysis for Meat Quality Assurance

Pavithra Hemachandra G. K.P. Hemachandra

Publication Name: Ceylon Journal of Science

Publication Date: 2025-01-01

Volume: 54

Issue: 2

Page Range: 507-514

Description:

Quality assurance is a critical aspect of human food. Meat is one of the major high-quality protein suppliers to the human body and plays an essential role in our daily meals. With industrialization, heavy metals became major food contaminants leading to serious health risks. FAAS (Flame Atomic Absorption Spectrometry), GFAAS (Graphite Furnace Atomic Absorption Spectrometry), ICP-MS (Inductively Coupled Plasma Mass Spectrometry) and ICP-OES (Inductively Coupled Plasma Optical Emission Spectrometry) are analytical methods that promise consumer safety by ensuring quality assurance of meat and meat products with their accurate and reliable analytical capacity. Their characteristics may vary with their theory of analysis and advancement of applied technology. Dry ashing, wet digestion, microwave-assisted digestion, and ultrasonic extraction like different sample preparation techniques or direct analysis after slurry preparation like simple sample preparation, are involved with spectroscopic analytical methods to prevent the sample matrix effect. These methods are validated based on parameters such as LOD (Limit of Detection), LOQ (Limit of Quantification), recovery %, relative standard deviation, and characteristic mass to ensure their reliability.

Open Access: Yes

DOI: 10.4038/cjs.v54i2.8573

A Novel Motor Modelling Method for Reluctance Motor Electric Vehicle Drive Systems

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

Publication Name: Proceedings 2025 IEEE 7th Global Power Energy and Communication Conference Gpecom 2025

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 216-221

Description:

The field of electric vehicles is one of the most popular research topics today. These vehicles require highly efficient and cost-competitive drive system solutions due to the increasing competition. The reluctance motor drive systems are excellent candidates for fulfilling these requirements However, the controlling of these drive systems is difficult as they represent a heavily nonlinear behavior due to the varying stator inductances. The stator inductances are changing both in the function of the stator currents- and that of the rotor position. This phenomenon makes it necessary to apply advanced modelling solutions that provide a more precise motor model for the torque control algorithm. This paper presents a novel motor modeling method for the reluctance motor drive systems. A new type of inductance matrix is derived, which is a critical part of the motor model. This inductance matrix is used to define new relationships for the electromagnetic torque and the phase voltages of the machine for a given stator current, leading to a novel motor model. This new motor model can serve as an input for the torque control algorithm research and development activities.

Open Access: Yes

DOI: 10.1109/GPECOM65896.2025.11062014