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Found 6515 publications

Efficient fuzzy cognitive modeling for unstructured information

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: 358-363

Description:

This paper presents an efficient fuzzy cognitive modeling which can handle granulation, organisation and causation. This cognitive modeling technique consists of multiple levels where the lowest level includes details required to make a decision or to transfer to the next stage. This Fuzzy Cognitive Modeling will enhance the usability of fuzzy theory in modeling complex systems as well as facilitating complex decision making process based on ill structured or missing information or data. © 2006 IEEE.

Open Access: Yes

DOI: 10.1109/FUZZY.2006.1681737

Mapping the Potential of e-Micromobility Vehicles for Sustainable Urban Development – the Case of Győr, Hungary

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 703-708

Description:

Can the advancement of electromobility (e-mobility) be the key to achieving sustainable development and transportation in urban areas? While electric vehicles typically produce less environmental impact compared to conventional cars—such as reduced noise and air pollution—they still generate various externalities, including congestion costs, accidents, and adverse effects on landscapes and public spaces. In contrast, light e-micro mobility vehicles, particularly e-scooters, have emerged as a new transportation alternative in many cities worldwide and appear to facilitate a shift towards more sustainable modes of transport due to their advantages. However, e-micromobility can only contribute to sustainable urban development if careful planning and development are implemented. This study explores the history, current status, and future potential of e-micro mobility advancements. As part of the primary research, we assessed the socio-economic profiles and usage behaviors of e-micro mobility users in Győr, Hungary. We also examined the share of e-micro mobility users in the modal split, their travel patterns, and their needs and desires. The findings indicated that e-micro mobility vehicles primarily substitute walking and public transport, with fewer trips being made by private cars. Ultimately, the study concluded that a shift from car usage to e-micro mobility is achievable, provided there are suitable policy frameworks and sustainable urban and transportation development strategies in place.

Open Access: Yes

DOI: 10.3303/CET24114118

Charpy Impact Test Result Comparison on Reinforcing Materials used in Continuous Filament 3D Printing

Publication Name: Engineering Technology and Applied Science Research

Publication Date: 2025-02-01

Volume: 15

Issue: 1

Page Range: 19354-19357

Description:

With the growing industrial demand for materials that can withstand dynamic loads, composite 3D printing, particularly utilizing continuous fiber reinforcements, presents a promising solution. This study investigates the toughness of three fiber-reinforced materials, namely carbon fiber, Kelvar, and fiberglass, by conducting Charpy impact tests. The results reveal that fiber-reinforced 3D materials significantly outperform standard 3D printed components, with fiberglass showing the highest toughness. These findings demonstrate that fiber-reinforced 3D printed materials offer a viable alternative for applications requiring high toughness and dynamic resistance.

Open Access: Yes

DOI: 10.48084/etasr.8740

Application of artificial neural networks for characterisation of formability properties of sheet metals

Publication Name: International Journal of Lightweight Materials and Manufacture

Publication Date: 2024-01-01

Volume: 7

Issue: 1

Page Range: 37-44

Description:

Artificial neural network models were developed to estimate forming limit diagrams from tensile test results based on our own experiments and data from the literature for steel and aluminium sheet metals. Experimental data were obtained from tensile tests and Nakazima tests. The input parameters used in the models were yield strength, ultimate tensile strength, uniform elongation, elongation at fracture, anisotropy coefficient and hardening exponent or combinations of these. The forming limit curves were defined by the measured minor and major strains using seven standard test specimens. After training the artificial neural network, the difference between measured and predicted results was evaluated by linear regression parameters and by the absolute errors. For steel sheet data taken from the literature, the estimated outputs of ANN models were compared with the results of empirical formulae developed by different authors. It was found that there was a high correlation coefficient between predicted and measured values for models using neural networks, which gave better approximations than other linear and non-linear models.

Open Access: Yes

DOI: 10.1016/j.ijlmm.2023.08.003

Two operating states-based low energy consumption vehicle control

Publication Name: Proceedings of the ASME Design Engineering Technical Conference

Publication Date: 2017-01-01

Volume: 9

Issue: Unknown

Page Range: Unknown

Description:

The current paper presents a realization of a complex vehicle control task. The goal was to consume the lowest possible energy in a less than 100 kg, wheel hub motor-driven vehicle. The realization is based on two distinguishable operating states which states characterizes well the driving cycle of the vehicle. The main contribution of the proposed method is that it reliably estimates the external loads which interacts the vehicle, the controller can adapt to this changes thus it can guarantee the minimal energy consumption. The vehicle described in the paper is a participant at the Shell Eco-marathon Europe competition in Urban Concept - Battery Electric category.

Open Access: Yes

DOI: 10.1115/DETC2017-67978

Literature Review of Vibroacoustic Simulation in Geared Vehicle Power Transmission Systems for the Reduction of Radiated Noise

Publication Name: Advances in Science and Technology

Publication Date: 2024-01-01

Volume: 153

Issue: Unknown

Page Range: 89-98

Description:

The radiated noise reduction of vehicular power transmission systems is one of the most actively researched areas. Noise not only impacts the comfort and safety of the driver and passengers but also regulated by the legislators. The simulation-based prediction of radiated noise of gear-drives is a rapidly evolving area and combines gear meshing models, finite element analysis, multibody dynamics and airborne noise simulation tools. The interfacing of these tools makes virtual noise prediction challenging. In this research, we conducted a literature review on vibroacoustic simulations, with a particular focus on reducing noise in power transmission systems. Based on the reviewed articles, it became evident that, although numerous measurement data are available, the usability of the data is limited. Most research focuses on individual stages of the structure and on smaller-sized powertrains. The measurement methods contain abundant valuable information; however, the literature lack of comprehensive articles that track the simulation process from the inception of excitation to body and air noises. Moreover, the majority of articles investigate the relationship between transmission error and NVH, considering it as a primary source of noise. New methodological approaches, such as the application of FEM meshes on gears, open new horizons in this domain. Throughout the literature review, we compiled potential noise-reduction solutions and highlighted directions for future methodology development research.

Open Access: Yes

DOI: 10.4028/p-Ucpx27

Vulnerability assessment of buildings based on rapid visual screening and pushover: Case study of Gyor, Hungary

Publication Name: Wit Transactions on the Built Environment

Publication Date: 2019-01-01

Volume: 185

Issue: Unknown

Page Range: 63-PII-74

Description:

The process of carrying out an earthquake risk assessment of a town can provide important data for authorities and disaster management to better understand risks to many buildings rather than a single building. This is even more important in the case of moderate seismic areas where any mitigation measures to be taken should be justified by seismic risk determination. Moderate seismicity does not necessarily equate to moderate damage from earthquakes. Vulnerability to earthquakes even increases with extending urban areas. Seismicity in the Pannonian Basin is moderate compared to seismicity of surrounding areas, nonetheless, reports of major earthquakes in Hungary often refer to heavy building damage and liquefaction (e.g. 1763 Komarom earthquake). Gyor was chosen to be the examined area for seismic risk analysis because it is the most important city of northwest Hungary with a large number of monumental buildings and a complex geological and geographical settings. In order to make the best use of limited resources usually characteristic to moderate seismic zones, the presented method used existing soil data, rapid visual screening of buildings, a limited number of field tests and free, but sophisticated, software. This paper focuses on the results of vulnerability analysis of buildings; however, it considers the results of seismic hazard and local site effects based on response analysis with more than 6000 realizations. Vulnerability of the buildings with different structural types were evaluated based on a rapid visual screening of 5000 building. Vulnerability based on visual screening was compared to a pushover analysis of the typical constructions. As one would expect, since the hazards and vulnerabilities were not uniformly distributed in the city districts of Gyor, there were zones of higher and lower risk. These results can then serve as useful tools for decision makers and can be applied directly to risk management plans.

Open Access: Yes

DOI: 10.2495/ERES190051

Changes in public attitude toward epilepsy in Hungary since 1994. A multicriteria weighting analysis

Publication Name: Epilepsia Open

Publication Date: 2024-06-01

Volume: 9

Issue: 3

Page Range: 1042-1050

Description:

Objective: To assess the adult Hungarian population's knowledge about and attitude toward epilepsy and compare the present findings with previous ones in 1994 and 2000. Methods: We performed a cross-sectional survey of the Hungarian adult population from 28th February to 8th March 2023. A non-probability quota sampling with a random walk method was used. We applied the computer-assisted personal interviewing (CAPI) method and used a multicriteria weighting procedure to correct for bias along the main sociodemographic variables. To detect changes over time, we used chi-squared tests, and to analyze the effect of sociodemographic characteristics, we applied multivariate logistic regression. Results: One thousand participants (53.1% women, mean age 48.1 ± 16.75 years) representing Hungary's population were interviewed yielding a response rate of 80.3%. 26.3% knew someone with epilepsy (55.9% in 1994 and 51.9% in 2000), and 30.8% saw an epileptic seizure (58% in 1994 and 55.3% in 2000). Compared to the young, fewer adults and elderly people knew someone with epilepsy or had seen a seizure. Like in 1994 and 2000, 16.6% reported objection to their children's interaction with people with epilepsy; however, in the present study, significantly fewer people opposed their children marrying or working together with epileptic people, indicating a change in attitude (p < 0.0001). Rural residents had less objection to their children's interaction with people with epilepsy (p < 0.05). People with secondary education objected significantly more often than those with primary education to their children's interaction (p = 0.037), marriage to people with epilepsy (p = 0.043), or their having equal employment (p = 0.008). Higher education people were as “permissive” as those with primary education. Significance: Certain parameters of familiarity and attitude markers of the Hungarian population toward epilepsy have improved. These tendencies are promising, but work is still needed; our results will hopefully evoke educational programs and campaigns against negative attitudes. Plain Language Summary: The knowledge of the Hungarian population about epilepsy and their attitude toward people with epilepsy has been improved since 1994. People from rural areas have shown more acceptance for people with epilepsy. Those people who completed secondary education were significantly more prone to stigmatization than those with primary education.

Open Access: Yes

DOI: 10.1002/epi4.12935

Residual stresses in carburised, carbonitrided and case-hardened components (Part 2)

Publication Name: Heat Treatment of Metals

Publication Date: 2004-03-11

Volume: 31

Issue: 1

Page Range: 4-10

Description:

An overview is given of the significant progress in research focused on the assessment of residual stress effects in case-hardened components. Focus is on relevant computational models intended to simulate stress evolution during heat treatment.

Open Access: Yes

DOI: DOI not available