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Publications - 6383

Optimal harmonics prediction for distribution systems powered by multi-energy sources using bidirectional long-short term memory combined with data sequence

Hasnaa M. El-Arwash Ragab A. El-Sehiemy Almoataz Y. Abdelaziz

Publication Name: Applied Soft Computing

Publication Date: 2025-12-01

Volume: 184

Issue: Unknown

Page Range: Unknown

Description:

A multi-energy resource aims to maintain a balance between energy output and load consumption and to ensure power continuity during different operating conditions. The harmonic distortions can be estimated from the output current of a harmonic source, which may not fully reflect its true harmonic distortions due to the interactions between the state changes at the power network level and the harmonic sources. System operators monitor each system's harmonic performance under different conditions of operation to find the actual contribution of grid-connected systems to harmonic-related issues. Development of machine learning algorithms leads to effective progress in the harmonic prediction and computation. In this paper, the combined data sequencing, and Bidirectional Long-Short Term Memory (Bi-LSTM) network has been exploited for the real-time harmonic prediction of future events in multi-energy sources. The validity of the proposed Model including the applications of ANFIS, ANNs, MLRA and LSTM is conducted on the two standard systems as IEEE 9-bus and IEEE 34-bus multi energy resources system that is associated with PV systems. The simulation results, based on climate changes of solar irradiance and ambient temperature in PV systems, demonstrate that the proposed methods can accurately forecast changes in total harmonic distortion (THD) as well as the voltage profile at the point of common coupling. The performance of Bi-LSTM, original LSTM, Machine Linear Regression (MLR), and Artificial Neural Networks (ANNs) techniques were assessed. These findings provide valuable insights. Four performance validation indices, RMSE, R-squared and MSE are considered to assess the performance of the competitive learning algorithms. The results showed that in the model IEEE 9-bus, Bi-LSTM outperformed all the applied methods as its RMSE value was 0.000019 while its MSE value was 3.61e-10 and finally, the Bi-LSTM had a higher value squared error (R2) was equal 1 which indicates the effectiveness of Bi-LSTM for predicting sequential total harmonic distortion. On the other hand, in case study of IEEE 34-bus, the RMSE, MSE and R2 are 0, 3.276e-30 and 1 using Bi-LSTM which means that the Bi-LSTM leads to the best performance validation indices compared to other competitive algorithms for the tested multi-energy systems.

Open Access: Yes

DOI: 10.1016/j.asoc.2025.113799

Sound of vision - Spatial audio output and sonification approaches

Runar Unnthorsson Michal Bujacz Alin Moldoveanu Gabriel Ivanica Adam Csapo Simone Spagnol Charalampos Saitis Omar I. Johannesson Karol Kropidlowski Piotr Witek Mikolai Rotnicki Gyorgy Wersenyi

Publication Name: Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

Publication Date: 2016-01-01

Volume: 9759

Issue: Unknown

Page Range: 202-209

Description:

The paper summarizes a number of audio-related studies conducted by the Sound of Vision consortium, which focuses on the construction of a new prototype electronic travel aid for the blind. Different solutions for spatial audio were compared by testing sound localization accuracy in a number of setups, comparing plain stereo panning with generic and individual HRTFs, as well as testing different types of stereo headphones vs custom designed quadrophonic proximaural headphones. A number of proposed sonification approaches were tested by sighted and blind volunteers for accuracy and efficiency in representing simple virtual environments.

Open Access: Yes

DOI: 10.1007/978-3-319-41267-2_28

Influence of environmental humidity during filament storage on the structural and mechanical properties of material extrusion 3D-printed poly(lactic acid) parts

Imre Fekete Klára Verebélyi Györgyi Szarka László Lendvai Sándor K. Jakab Béla Iván

Publication Name: Results in Engineering

Publication Date: 2024-12-01

Volume: 24

Issue: Unknown

Page Range: Unknown

Description:

Material extrusion (MEX) is one of the most widely used additive manufacturing techniques these days. This study investigates how the properties of MEX 3D-printed objects depend on the relative humidity (RH) conditions in which filaments are stored before and during the manufacturing process. Poly(lactic acid) (PLA) filament was drawn directly from a humidity-controlled chamber into the MEX 3D printer's nozzle. For each set of samples, the filaments were conditioned under different RH conditions, ranging from 10 % to 90 %. The macrostructure of the fabricated products was characterized using computed tomography, revealing increased porosity at higher RH values (from 0.84 % to 4.42 %). The increased porosity at higher storage RH is attributed to under-extrusion and volatile entrapment due to excess moisture. With growing storage RH, the melt flow rate of PLA also gradually increased, indicating a plasticizing effect of humidity on the biopolymer. Gel permeation chromatography and differential scanning calorimetry analyses were conducted to determine whether hydrolytic chain scission took place when PLA was processed in the presence of excessive moisture. Neither measurement indicated any considerable alteration in molecular integrity and crystalline structure as a function of storage RH. Mechanical tests, however, revealed a reduced load-bearing capacity of the manufactured PLA specimens. Flexural strength decreased from 103.0 to 99.6 MPa, and the impact strength dropped from 18.2 to 16.2 kJ/m2, which is ascribed to the increasing size of pores inside the specimens with increasing storage RH. These findings should be taken into account when designing and processing PLA products by MEX-based additive manufacturing.

Open Access: Yes

DOI: 10.1016/j.rineng.2024.103013

Design of B-spline neural networks using a bacterial programming approach

Cristiano Cabrita János Botzheim António E. Ruano László T. Kóczy

Publication Name: IEEE International Conference on Neural Networks Conference Proceedings

Publication Date: 2004-12-01

Volume: 3

Issue: Unknown

Page Range: 2313-2318

Description:

The design phase of B-spline neural networks represents a very high computational task. For this purpose, heuristics have been developed, but have been shown to be dependent on the initial conditions employed. In this paper a new technique, Bacterial Programming, is proposed, whose principles are based on the replication of the microbial evolution phenomenon. The performance of this approach is illustrated and compared with existing alternatives.

Open Access: Yes

DOI: 10.1109/IJCNN.2004.1380987

Spatial and Heterogeneity Analysis of Environmental Taxes’ Impact on China’s Green Economy Development: A Sustainable Development Perspective

Laszlo Vasa Pinghua Chen Minye Rao Yudan Xu

Publication Name: Sustainability Switzerland

Publication Date: 2023-06-01

Volume: 15

Issue: 12

Page Range: Unknown

Description:

Environmental taxation is an important tool used by governments to promote resource conservation and environmental protection. Given the current global constraints on resources and increasing environmental degradation, exploring how environmental taxes can effectively stimulate the development of a green economy is of utmost importance. This study utilized panel data from 30 provinces, autonomous regions, and municipalities in China, covering the period from 2006 to 2020. The research findings indicate a spatial correlation between environmental taxes and green economic efficiency in China, with the former significantly promoting the development of the latter. A heterogeneity analysis revealed varying impacts of different taxes on the efficiency of green economic development in different regions. Controlling for variables, the study results demonstrated a negative correlation between industrial structure and green economic efficiency, with a significance level of 1%. Additionally, no correlation was found between pollution control efforts and green economic benefits. The effects of different taxes on regional efficiency varied, and industrial structure exhibited a negative correlation with green economic efficiency. This study recommends strengthening intergovernmental coordination, improving tax policies, optimizing industrial structure, and enhancing the pollution control efficiency of local governments to promote China’s green economy.

Open Access: Yes

DOI: 10.3390/su15129332

A novel behavior model based estimation method for the traffic capacity of signalized intersections

Jozsef Homlok Katalin Kovács

Publication Name: 17th ITS World Congress

Publication Date: 2010-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Traffic systems are man-made systems in which the human component as a complex factor plays a significant part. (1) The realistic modeling of them is extremely complicated. The aim of the paper is to present a traffic behavior model of inhomogeneous driver-populations and a corresponding estimation method. The traffic behavior model is developed for describing traffic flow in a signalized intersection. It works with inhomogeneous driver populations; different type of drivers may make different decisions in the same traffic situation. This way various driver types can be defined like aggressive, normal or conservative etc. drivers. The model focuses on the movement and the behavior of the inhomogeneous driver-populations approaching a signalized intersection, passing the amber signal light. The developed estimation method is intended to define the distribution of different driver types. This theory can allow an extensive and more complex traffic analysis on a more sensitive scale. The paper details the steps of the estimation process and the validation and introduces the results of the application of the estimation method with real experiments.

Open Access: Yes

DOI: DOI not available

Finite Element Modelling of Polymer and Crumb Rubber Modifed Asphalt Mixtures

Csaba Koren Richárd Nagy Mohammad Fahada

Publication Name: Advances in Transdisciplinary Engineering

Publication Date: 2024-01-01

Volume: 59

Issue: Unknown

Page Range: 44-52

Description:

Modification of asphalt binder with crumb rubber or SBS type polymer can further enhance the viscoelastic properties of asphalt mixtures in terms of reduced permanent deformation and increased operational temperature range. In this research, the effect of different variations of crumb rubber (CR) and styrenebutadiene-styrene (SBS) consisting of Base asphalt, 4% SBS, 7% SBS, 7% CR, 15% CR and 20% have been analyzed in terms of rutting accumulation. This research is significant in terms of performance characteristics of CR and SBS modified mixtures, where based on availability and price of these modifiers, agencies can perform selection of either variations of these modifiers based on their requirement and standards in order to optimize the performance of asphalt pavements. Finite element analysis has been performed using ABAQUS, where a dual wheel having an axle load of 100 kN has been simulated with a total of 50,000 passes on a 2D model. Validated creep parameters using the Burger's model have been utilized for simulation of material decay under creep loading for each variation. Visco step loading has been used to measure rutting progression. Results show increased rutting accumulation of base asphalt among other scenarios. Furthermore, CR-20 outperforms other variations in terms of rutting accumulation. Both CR-20 and SBS7 yield the minimum rutting magnitude of 3.2 m and 3.3 mm respectively. SBS-7 leads to 39% less rutting magnitude when compared to that of base asphalt.

Open Access: Yes

DOI: 10.3233/ATDE240525

MHD Casson nanofluid flow over a vertical stretchable sheet saturated with a porous medium: a parametric approach for sensitive analysis

Noreen Sher Akbar Assmaa Abd-Elmonem Syed M. Hussain Khurram Javid Wasim Jamshed Shakil Shaiq Hijaz Ahmad Kamel Guedri Abbas Khan

Publication Name: Discover Nano

Publication Date: 2026-12-01

Volume: 21

Issue: 1

Page Range: Unknown

Description:

Purpose: After being motivated by the diverse applications of blood rheology, nanotechnology, magnetic field, chemical reaction, solar radiation, and non-Darcy porous media in nano-industrial, medical, and chemical engineering domains. The current computational study aims to numerically examine the influences of velocity slip, internal thermal generation or absorption, chemical reactions, and thermal radiation on magneto-hydrodynamic blood-based nanofluid flow with thermo-Brownian motion through an extending interface within a high-permeability medium. Furthermore, the sensitive analysis of flow features with respect to the independent flow parameters is considered. Design/methodology/approach: Suitable similarity equations are employed to convert the partial differential equations into ordinary differential equations together with their boundary constraints. The NDSolve method in Mathematica 11.0 is employed to numerically analyze the flow model, yielding data for the stream function, velocity profile, frictional force coefficient, temperature profile, concentration profile, local Nusselt number, and Sherwood number across several rheological parameters. Main findings: A boundary slip diminishes momentum transmission from the fluid to the surface; when velocity slip escalates, the velocity profile declines. The intensity of the thermal boundary layer escalates with the thermal Grashof number. The temperature distribution is exacerbated by the influence of radiation. As the Brownian parameter grows, the nanofluid temperature intensifies. The chemical reaction parameter substantially affects the enhancement of both skin friction and the Sherwood number. The Nusselt number is enhanced by increasing the thermal Grashof number. The sensitivity analysis indicates that the chemical reaction and concentration Grashof number significantly influence the improvement of rheological properties. Applications: The results of this work are relevant for regulating film thickness, chemical vapour deposition, drug delivery systems, and process optimization.

Open Access: Yes

DOI: 10.1186/s11671-026-04667-7

Improved fuzzy-based single-stroke character recognizer

A. Tormási László T. Kóczy

Publication Name: Proceedings of the 2013 Joint Ifsa World Congress and NAFIPS Annual Meeting Ifsa NAFIPS 2013

Publication Date: 2013-10-31

Volume: Unknown

Issue: Unknown

Page Range: 430-435

Description:

In this paper we present two modified and improved versions of the formerly published Fuzzy-Based Single-Stroke Character Recognizer (FUBAR) algorithm. After introducing the original method, the study investigates the effects of two different improvements of the designed algorithm. The first extension is the use of symbol-dependent fuzzy grids to extract symbol features; the second one is the use of rule weights in hierarchical rule-bases. The accuracy and efficiency of the extended FUBAR algorithms are compared to previous results. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/IFSA-NAFIPS.2013.6608439