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Found 6407 publications

Calculation of magnetic component of wire antenna electromagnetic field

Publication Name: Przeglad Elektrotechniczny

Publication Date: 2013-03-27

Volume: 89

Issue: 2 B

Page Range: 21-24

Description:

The possibility of analytical solution to calculation of azimuthal component of magnetic field intensity of wire antenna simulated by shortcircuit current is demonstrated. For this purpose boundary condition on a cylindrical surface corresponding to the antenna surface presented by Fourier series is proposed.

Open Access: Yes

DOI: DOI not available

Mechanical Fatigue Test of Individual Dental Implants

Publication Name: Advances in Transdisciplinary Engineering

Publication Date: 2024-01-01

Volume: 59

Issue: Unknown

Page Range: 501-508

Description:

Since subperiosteal dental implants are custom made implants, design and manufacturing must be carried out with great care, solving comprehensive mechanical analyses. In this work, we performed a 3-day fatigue test on a 3D-printed titanium implant in a custom-designed mechanical testing device. After three days of average chewing loading, no residual deformation was observed. Moreover, no cracks or inclusions were observed when examining the CT scans. Nor did the printing defects on the implant cause any problems. The tested implant showed satisfactory results and was considered to be suitable for implantation. With the case study, we also showed that the new experimental methodology developed for the mechanical examination of subperiosteal implants is suitable for fatigue examinations of implants.

Open Access: Yes

DOI: 10.3233/ATDE240586

Comparison of Lateral Controllers for Autonomous Vehicles Based on Passenger Comfort Optimization

Publication Name: Proceedings of the International Conference on Informatics in Control Automation and Robotics

Publication Date: 2024-01-01

Volume: 1

Issue: Unknown

Page Range: 46-54

Description:

This paper focuses on the design of lateral controllers for autonomous vehicles. To enhance passenger comfort while concurrently maintaining minimal deviation from the desired trajectory, the developed controllers are tuned by a Genetic Algorithm, whose cost function is following the ISO 2631 Standard. Three model-based controllers, a Linear Quadratic Regulator, a Linear Quadratic Servo algorithm, and a Model Predictive Con troller have been compared in a simulation environment. The test case consists of a suburban road section, where the vehicles must successfully traverse at different velocities while minimizing the lateral acceleration and jerk affecting the passengers. To take into account the velocity-dependent dynamics of the system, the controllers are based on a Linear Parameter-Varying model of the system. The results show that the devel oped controllers meet the specified requirements regarding the equivalent acceleration, Motion Sickness Dose Value, and deviation from the desired trajectory.

Open Access: Yes

DOI: 10.5220/0012923700003822

The relationship between bank lending and economic factors in the regions of Kazakhstan

Publication Name: Banks and Bank Systems

Publication Date: 2024-01-01

Volume: 19

Issue: 4

Page Range: 1-16

Description:

Understanding the impact of economic factors on bank lending is crucial in Kazakhstan’s modern economy, characterized by volatile inflation and fluctuations in real wages. This paper aims to investigate the link between bank lending and economic factors such as inflation, real wages, and consumer expenditure in a regional context. Data from the Bureau of National Statistics and the National Bank, covering the period from 2012 to 2022, were used to uncover how economic factors influence bank lending. For the analysis, various economic indicators were integrated through normalization and averaging. Analysis reveals significant regional disparities in real wages and consumer expenditures, which impact the demand for bank credit. The results of the correlation matrix showed that both real wages (P-value < 0.001) and inflation (P-value < 0.001) significantly impact bank lending, with an R2 value of 0.998, indicating that the model explains 99.8% of the variation in bank lending. The regression analysis highlights that regions with higher real wages, such as Astana, Almaty, and Atyrau, provide the most favorable conditions for banking sector growth, demonstrated by a strong relationship between wages and bank lending. In contrast, regions with lower wage levels, such as Turkestan and Zhambyl, show a significantly weaker connection (around 0.65), reflecting their lower attractiveness for banking investment and emphasizing the need for policies to address social inequality. The Durbin-Watson test confirmed no autocorrelation in residuals (DW = 1.89), although heteroscedasticity was detected, suggesting the need for further model adjustments. The study emphasizes the importance of developing economic policies that can balance regional development and improve financial stability.

Open Access: Yes

DOI: 10.21511/bbs.19(4).2024.01

Input parameters of transdanubian clay for the hardening soil and soft soil models

Publication Name: Pollack Periodica

Publication Date: 2009-04-01

Volume: 4

Issue: 1

Page Range: 93-104

Description:

In recent years, finite element modeling has become an important design tool. Advanced programs make it possible to use more complex soil models in addition to standard elasto-plastic models with Mohr-Coulomb failure criteria. These new models can follow nonlinear behavior and complicated loading sequences. The two most promising new models are: the Hardening Soil Model (HS) and the Soft Soil Model (SS). This paper focuses on the behavior of Transdanubian Clay, common in Hungary. Sampling, laboratory testing, and evaluation of data aiming at determining parameters for HS and SS models are described. Results based on oedometer tests using unloading/reloading sequences proved to be adequate for input to these models. © 2009 Akadémiai Kiadó.

Open Access: Yes

DOI: 10.1556/Pollack.4.2009.1.10

The effective reduction of spurious oscillations in the valve closure event of an internal combustion engine

Publication Name: Journal of Physics Conference Series

Publication Date: 2026-01-01

Volume: 3190

Issue: 1

Page Range: Unknown

Description:

The accurate numerical solution of contact-impact problems using finite element method is challenging in multiple aspects. The main difficulty is the effective attenuation of spurious oscillations emerging due to the spatial discretization. As these oscillations deteriorate the accuracy, the elimination of spurious components in the numerical results has a great importance. To achieve it, a damping effect must be contained in the applied numerical scheme. Based on the conducted research in this field, the concrete shape of the damping character plays a crucial role in reducing oscillations with the best possible efficacy. The proposed method operates with viscous damping formulated as Caughey damping. Considering concrete industrial problems, represented as a two-dimensional FEM model, the proposed scheme proved to be effective and more accurate compared to several widely applied numerical methods. Due to the simple formulation combined with good oscillations reduction, the newly developed method has a great potential in practical engineering applications.

Open Access: Yes

DOI: 10.1088/1742-6596/3190/1/012004

The role of driver's eye height in the design of crest curves of roads

Publication Name: Pollack Periodica

Publication Date: 2023-09-25

Volume: 18

Issue: 3

Page Range: 113-118

Description:

The driver's eye height from the ground, as what drivers can see on the road, is essential for their safety and for avoiding road hazards. Using the statistical analysis of vehicles sample, the statistical parameters of the measured set of values were determined. A one-sample t-test was done to check whether the measured sample differs from the driver's eye height value specified in the Hungarian design guidelines. A new range of driver's eye height has been found, which is considered an update to the current value and might be applied in the upcoming road design. Parallel with the eye-height analysis, sight distances at vertical crest curves were modeled by AutoCAD Civil 3D. The minimum radiuses of the crest curves were defined for human eye height and for sensors of autonomous vehicles.

Open Access: Yes

DOI: 10.1556/606.2023.00808

Analysis of wind power generation potential and wind turbine installation economics: A correlation-based approach

Publication Name: Results in Engineering

Publication Date: 2025-03-01

Volume: 25

Issue: Unknown

Page Range: Unknown

Description:

Wind energy production is rapidly expanding worldwide, yet studies on wind energy potential in India remain limited. This study evaluates the wind power potential and conducts an economic cost analysis of wind turbine generator installations at varying hub heights (10m to 150 m) across 21 locations in India, representing a novel contribution to the field. The selected locations include 11 sites in Gujarat (Location-1), 10 sites in Tamil Nadu (Location-2), and one site in Ravangla, Sikkim (Location-3). Cubic factors methods are implemented to estimate Weibull parameters. Results reveal that at 150 m hub height, wind power density ranges from 123.17 to 308.86 W/m² in Gujarat, 80.64 to 427.12 W/m² in Tamil Nadu, and 183.24 W/m² in Sikkim. Kaluneerkulam in Tamil Nadu demonstrates excellent wind category potential, with energy costs ranging from $0.0165 to $0.0076 per kWh, decreasing as hub height increases. Sites across all three locations exhibit moderate to steady wind speeds, making them suitable for wind energy exploitation. An economic analysis of nine wind turbine types shows that Tamil Nadu achieves the lowest energy cost variation, followed by Gujarat and Sikkim. This study provides valuable insights for optimizing wind energy utilization in India.

Open Access: Yes

DOI: 10.1016/j.rineng.2024.103743

M-estimators using optimization algorithm based on F-transform

Publication Name: Ifsa Scis 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems

Publication Date: 2017-08-30

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Robust estimation is an estimation technique which is insensitive to small departures from the idealized assumptions, especially inclusion of outliers of the data set. One of the popular robust technique is the so-called M-estimators. In a practical sense, there are many cases when the data set includes outliers, robust technique has been developed with various approaches due to its practical usefulness. In this paper, we propose a new algorithm based on F(Fuzzy)-transform and optimization algorithm, a modified GA (Genetic Algorithm). For this, two approaches are considered for comparison in order to minimize the objective functions of several robust M-estimators such as L1, L1 - L2 and Fair methods. One is a method which employs GA(Genetic Algorithm) as an optimization algorithm for minimization of the objective functions and the other one is a combined method based on F-transform and GA(Genetic Algorithm)which improves the accuracies. For a numerical example, the results are given with L2 (Least-squares) method, which is most popular but sensitive to outliers, for comparison. The performances are measured in RMSE, MAD and MAPE to show its superiority.

Open Access: Yes

DOI: 10.1109/IFSA-SCIS.2017.8023368