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Found 6674 publications

Investigating the Impact of Environmental Factors on Autonomous Vehicle Sensors †

János Hollósi Dániel Csikor Ferenc Szauter

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

The operation of autonomous vehicles requires the coordinated operation of a number of sensors to improve road safety. Data from the sensors are processed by vehicle control algorithms, which then make decisions. If there is a degradation in the efficiency of these sensors, the reliability of the whole system is affected. Different weather conditions affect the efficiency of the system. The research has identified the weather factors that affect the performance of the sensors based on a literature search. Following the literature analysis, a simulation test was carried out to investigate the extent to which the detection performance of a stereo video camera installed in an experimental autonomous vehicle is affected when part of the sensor is covered by a contaminant. The measurement was followed by a comparison of the vehicle and obstacle detection efficiency when the camera is completely clean and when part of the camera is covered.

Open Access: Yes

DOI: 10.3390/engproc2025113015

Mechanical Properties of Clay-Reinforced Polyamide 6 Nanocomposite Liner Materials of Type IV Hydrogen Storage Vessels

János Takács Attila Bata Eszter Kókai Dávid István Kis

Publication Name: Nanomaterials

Publication Date: 2024-09-01

Volume: 14

Issue: 17

Page Range: Unknown

Description:

This study focuses on polyamide 6/organo-modified montmorillonite (PA6/OMMT) nanocomposites as potential liner materials, given the growing interest in enhancing the performance of type IV composite overwrapped hydrogen storage pressure vessels. The mechanical properties of PA6/OMMT composites with varying filler concentrations were investigated across a temperature range relevant to hydrogen storage conditions (−40 °C to +85 °C). Liner collapse, a critical issue caused by rapid gas discharge, was analyzed using an Ishikawa diagram to identify external and internal factors. Mechanical testing revealed that higher OMMT content generally increased stiffness, especially at elevated temperatures. The Young’s modulus and first yield strength exhibited non-linear temperature dependencies, with 1 wt. per cent OMMT content enhancing yield strength at all tested temperatures. Dynamic mechanical analysis (DMA) indicated that OMMT improves the storage modulus, suggesting effective filler dispersion, but it also reduces the toughness and heat resistance, as evidenced by lower glass transition temperatures. This study underscores the importance of optimizing OMMT content to balance mechanical performance and thermal stability for the practical application of PA6/OMMT nanocomposites in hydrogen storage pressure vessels.

Open Access: Yes

DOI: 10.3390/nano14171385

Example for convex hull tightening increasing the feasible parameter region at Linear Matrix Inequality based control design

Peter Varlaki Alexandra Szollosi Peter Baranyi

Publication Name: Ines 2014 IEEE 18th International Conference on Intelligent Engineering Systems Proceedings

Publication Date: 2014-09-24

Volume: Unknown

Issue: Unknown

Page Range: 175-180

Description:

The paper shows an example when the tightening of the convex hull determined by the vertexes of the polytopic Tensor Product model representation of a given quasi Linear Parameter Varying state-space model leads to feasible Linear Matrix Inequality based control design. In addition the paper unveils that the relaxation of the Tensor Product model complexity interferes also with the Linear Matrix Inequality feasibility results. The example at hand consists of the complex Nonlinear Aeroelastic Test Apparatus model of the three degree of freedom aeroelastic wing section model including Stribeck friction. The relaxation and convex hull tightening is based on the concept of the Tensor Product model transformation.

Open Access: Yes

DOI: 10.1109/INES.2014.6909364

ELASTO-PLASTIC TOPOLOGY OPTIMIZATION UNDER CYCLIC LOADING FOR EFFICIENT STRUCTURAL DESIGN

Gábor Csaba Soóki-Tóth R. M. Movahedi Muayad Habashneh Somfai Attila Majid Movahedi Rad

Publication Name: Compdyn Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 3401-3412

Description:

This study introduces an elasto-plastic topology optimization approach tailored for structural systems subjected to cyclic loading. By incorporating material nonlinearity, the method provides a robust framework for designing structures that withstand repetitive loading efficiently, avoiding excessive material use. This optimization approach integrates the effects of cyclic loading to enhance structural resilience while minimizing mean compliance. The proposed method is particularly applicable for optimizing structural components in steel frameworks where material efficiency and load-bearing capacity are critical. By emphasizing the elasto-plastic behavior of materials, this study aims to offer a practical tool for engineers seeking resilient structural designs that balance strength and sustainability. Potential applications extend to structural elements in earthquake-resistant buildings, where managing material use is essential for both environmental and economic impact.

Open Access: Yes

DOI: 10.7712/120125.12661.25046

Finite Element Simulation of Surface-Mount Resistor Solder Joint Quarter Models Under Thermomechanical Loading †

Antal Bakonyi Norbert Kiss Dániel Székely Matthew Joshua Sandy Yashveer Dunputh Mahmud M.D. Firoz

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

Virtual lifetime estimation is growing in importance, as replacing physical tests by simulations leads to cost reductions in the development of microelectronics assemblies. However, the predictions made by fatigue models often differ significantly from the lifetimes recorded in physical tests. Tuning these models is not straightforward, and results are often accurate only in specific test cases. Deviations may arise from manufacturing tolerances in the soldering process which can lead to deviations in the solder joint geometry. These include variations in the size of the copper pad area or in the volume of solder material. These factors, which have impacts on estimated lifetimes, are not fully understood. This paper assesses the impact of solder geometry in parallel with that of thermal cycling properties on estimated lifetimes. It is demonstrated that the shape and thermocycling properties of the solder joint significantly affect the thermomechanical lifetimes of surface-mounted resistors.

Open Access: Yes

DOI: 10.3390/engproc2025113050

Cardiovascular Model Identification Using Neural ODE

Balazs Benyo Ákos Antal J. Geoffrey Chase Bálint Szabó Katalin Kovacs Cong Zhou Liam Murphy James Cushway Nicolas Davey Akos Szlavecz Béla Paláncz

Publication Name: IFAC Papersonline

Publication Date: 2024-09-01

Volume: 58

Issue: 24

Page Range: 374-379

Description:

Acute circulatory failure (ACF) is a clinical syndrome when the heart and circulatory circulation cannot provide adequate blood supply to meet metabolic needs of the organs. ACF affects 30%- 50% of intensive care unit (ICU) patients. Fluid resuscitation is the primary treatment of ACF. However, it fails in a significant proportion (about 50%) of cases due to lack of clinically feasible non-invasive perfusion markers to assess the efficacy of the fluid therapy. Unfortunately, unsuccessful fluid therapy negatively affects patient outcome, increasing ICU length of stay and costs. Recent studies show identifying Stressed Blood Volume (SBV) of the cardiovascular system can be used to assess the potential efficacy of fluid therapy. The development of the diagnostic method requires the identification of the central arterial pressure curve based on the femoral arterial pressure, which is clinically available. This central arterial pressure curve can be used to identify the cardiovascular system parameters. In this study, the main goal was to develop a parameter-identification method for the Tube-load model-based transfer function connecting the femoral and central arterial pressure curve by using the so-called Physics-informed Neural Network methodology, namely the Neural ODE method. The study presents the adaptation of the Neural ODE method to the given parameter identification problem and the validation of the developed identification method. The robustness of the developed identification method was tested and used on a series of measurement data recorded in animal experiments.

Open Access: Yes

DOI: 10.1016/j.ifacol.2024.11.066

Legal Framework and Data Storage Background of Online Collected Data for Predictive Maintenance and Repair Purposes in the Automotive Sector in the European Union

Istvan Lakatos Jozsef Nagy Roland Kelemen Gergely Karácsony

Publication Name: IEEE Access

Publication Date: 2025-01-01

Volume: 13

Issue: Unknown

Page Range: 157986-158000

Description:

This research begins with a simple but essential question: In predictive vehicle maintenance, where should raw data from a car be stored? Some argue that it makes sense to keep it within the vehicle, managed directly by its control units. Others prefer sending it to a backend system for evaluation by larger models. We found that this decision cannot be made based solely on technical reasoning. The legal conditions surrounding personal data, cybersecurity, product responsibility, and AI-based systems in the European Union carry equal weight in shaping feasibility. These regulations not only impose constraints but also actively influence the design and application of such technologies in real-world scenarios. The findings suggest that legal barriers frequently limit implementation more than current technical capabilities. Addressing these constraints early in the design process is crucial, as they define not only what types of data processing are permitted but also how predictive maintenance services can be delivered to users. To support responsible development, this study proposes a legal-technical framework tailored to the European regulatory landscape. It aligns predictive maintenance systems with key European Union regulations, including the GDPR, Cybersecurity Act, Cyber Resilience Act, and AI Act.

Open Access: Yes

DOI: 10.1109/ACCESS.2025.3594772

Searching for a nonlinear ODE model of vehicle crash with genetic optimization

Miklos Ferenc Hatwagner István Harmati András Horváth

Publication Name: Saci 2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2012-01-01

Volume: Unknown

Issue: Unknown

Page Range: 131-136

Description:

Vehicle crash is a very complex process, which can be modelled in details using the finite element method (FEM), but a simple, quasi-heuristic model with a limited number of parameters is often more beneficial. In this paper we propose a relatively simple dynamic model for deformation and force during a frontal collision process, which has very similar behavior to the experimental data. A genetic-type optimization of model parameters is executed on three car crash experimental data sets. ©2012 IEEE.

Open Access: Yes

DOI: 10.1109/saci.2012.6249990

The impact of coordination skill development on Year 4 pupils’ mathematics performance and engagement

József Bognár Zsolt Szakály Tamás Kertész

Publication Name: International Journal of Educational Research

Publication Date: 2026-01-01

Volume: 137

Issue: Unknown

Page Range: Unknown

Description:

Classroom lessons supported by physical activity improve primary school children's cognitive levels, attention and engagement. Research demonstrates that incorporating the development of coordination skills and associated tasks into mathematics lessons leads to positive changes in students' behaviour and their willingness to engage with tasks. The use of innovative tools and methods to support movement-based development in the classroom remains an under researched area. Therefore, the aim of this study is to evaluate the effectiveness of an innovative sports tool and its associated motor coordination-based methods in the teaching of mathematics to Year 4 primary school students. Pupils from a primary school in a county town participated in the study. The sample was divided into experimental group ( n = 28) and the control group ( n = 27). The innovative coordination tool and its specific teaching methods was employed to support the teaching and learning process in mathematics over a 10-week programme. The effectiveness of this non-traditional educational tool was assessed through algebra and geometry worksheets completed before and after the intervention. Additionally, interviews were conducted with teachers and school leaders to gain insight into understand the broader impact of the intervention on the school. According to repeated ANOVA analysis, a small effect was detected for the variables of time and group. Additionally, a large effect was observed between the pre- and post-measurement within the groups, alongside a small effect between the groups. Significant improvements in both algebra and geometry variables were found in the experimental group from pre- to post-measurement, whereas no significant differences were observed in the control group. In-depth interviews corroborated the effectiveness of the innovative sports system across cognitive, affective and social domains, from both managerial and teaching perspectives. Based on the findings of this study, it can be concluded that 10–15 min of the coordination development programme inserted into lower primary school classroom activities over a 10-week period resulted in significant improvements in academic achievement and engagement in mathematics.

Open Access: Yes

DOI: 10.1016/j.ijer.2026.102962