Signal Processing and Renewable Energy: 8 (1)

Open Access Article

1 - Diagnostic Study for Neurodegenerative Disorders Based on Handwriting Analysis
Leila Soleimanidoust Abdalhossein Rezai Hamideh Barghamadi Iman Ahanian

10.30495/spre.2024.1994290.1226

One of the most frequently acknowledged personal behavioral traits in the biometric system is the handwritten exam. Numerous fields, including e-health, psychological issues, medical diag-nosis, and many more, can benefit from handwriting analysis. In this study, a hand More

One of the most frequently acknowledged personal behavioral traits in the biometric system is the handwritten exam. Numerous fields, including e-health, psychological issues, medical diag-nosis, and many more, can benefit from handwriting analysis. In this study, a handwriting-based computer diagnostic method for identifying neurodegenerative disorders is established. The sug-gested computer diagnosis system uses the SFTA feature extraction approach, and the findings are classified using SVM, kNN, and D-Tree algorithms. MATLAB R2021b and the handwritten tests gathered at Botucatu Medical School, So Paulo State University—Brazil—are used to assess the performance of the suggested computer diagnosis method. The best results were related into two models of classifier, Optimizable model of SVM and kNN. The accuracy, sensitivity and specificity are 89.2%, 88.3% and 90.0% for SVM and 89.2%,90.0% and 88.3% for kNN over Meander handwritten exam. These results indicate that the use of SFTA feature extraction method, SVM classification algorithm and handwritten database in the proposed computer diagnosis system give acceptable results. Manuscript profile

Open Access Article

2 - A Review on Improving Power System Stability Using Meta-Heuristic Optimization Algorithms for Power System Stabilizer Tuning
Sayed Mohammad Ali Zanjani Mehdi Mahdavian Mohammad Amin Honarvar Mehdi Riahinasab Arman Fattollahi

10.30495/spre.2024

In the power system, any change in the input or any disturbance causes oscillations in frequency, voltage, and real and reactive power. The Power System Stabilizer (PSS) stands out as a re-nowned and effective equipment for damping power system oscillations, extensively More

In the power system, any change in the input or any disturbance causes oscillations in frequency, voltage, and real and reactive power. The Power System Stabilizer (PSS) stands out as a re-nowned and effective equipment for damping power system oscillations, extensively explored in studies aimed at enhancing the dynamic stability of power systems. Challenges such as low-frequency fluctuations and the intricate nature of power systems have spurred the application of intelligent methods and optimization algorithms for addressing PSS-related issues. In this paper, a brief review of the studies conducted in the field of meta-heuristic optimization algorithms for PSS design is presented. Meta-heuristic methods are divided into three groups, and based on them, more than 200 articles have been studied in the field of PSS parameter optimization. The balance between exploration and exploitation is a common theme among all meta-heuristic meth-ods. Researchers and practitioners of meta-heuristic optimization methods belong to a wide range of audiences in the fields of power systems optimization, who will benefit from this research Manuscript profile

Open Access Article

3 - Image Contrast Enhancement by using Histogram Clipping and 2-D Histogram
Mahdis Golabian Azar Mahmoodzadeh Hamed Agahi

10.30495/spre.2024.1999407.1232

Several factors are affected images' contrast and eliminated details in images. Therefore, contrast enhancement is a critical process for any visual machine algorithms. To achieve this purpose, in this paper, a novel algorithm based on 2-D histogram and clipped his More

Several factors are affected images' contrast and eliminated details in images. Therefore, contrast enhancement is a critical process for any visual machine algorithms. To achieve this purpose, in this paper, a novel algorithm based on 2-D histogram and clipped histogram is introduced. To improve the performance of the algorithm, the histogram is divided into three sub-histograms based on mean and standard deviation. For each sub-histogram image, clipped histogram is calculated, separately. The threshold for clipping of histogram is obtained based on median of 2-D histogram of image. Based on the pervious researches we know that the desired distribution for 2-D histogram is Gaussian distribution. Hence, we introduce a novel iterative algorithm for transforming the available histogram to desired histogram. On the other words, our method modifies image histogram to improve its contrast. Our proposed method is based on Skewness, where algorithm is attempted to minimize the absolute value of Skewness. The performance of the algorithm is compared by several algorithms based on different factors. Simulation results indicate the proposed algorithm has the best performance than other algorithms. Manuscript profile

Open Access Article

4 - Designing a paradigm model of the organization's human resources interaction with subscribers in order to optimize energy consumption (drinking water)
Reza Khordedan Reza Shabannezhad Khas Ali Mokhtari

Energy consumption management is the one of the most important and fundamental issues in to-day's world. One of the sources of energy is the management of drinking water consumption. Considering the high per capita water consumption in Iran, it is the necessary to More

Energy consumption management is the one of the most important and fundamental issues in to-day's world. One of the sources of energy is the management of drinking water consumption. Considering the high per capita water consumption in Iran, it is the necessary to emphasize the increase of water productivity through measures such as demand management and water con-sumption and social enhancement. In this article, it deals with the design of the interaction model of the organization's human resources with the subscribers in order to optimize drinking water consumption in Qazvin Province Water and Wastewater Company. This research is the descrip-tive-analytical, and the research method is qualitative. The statistical population of this research is university experts and executive managers of water and sewage industry in Qazvin province, 11 people were selected using snowball sampling method and theoretical saturation point. The re-sults of this research are explained in the form of five main categories and subcategories. The findings showed Causal factors include social factors, individual factors, government bodies, senior managers, legal, legal and technical-engineering factors and other factors, contextual fac-tors include individual background conditions and socio-economic shortcomings. Intervening factors include "the way of thinking and support of managers, the performance of those in charge, and the will and desire of society", strategic factors include "correct and correct perfor-mance, continuous training at different levels and advertising and media information" and the consequences of the model are: Short-term outcomes, individual outcomes, long-term outcomes, national and regional outcomes. Manuscript profile

Open Access Article

5 - Optimal Scheduling of a Renewable-based Micro Grid Considering Reliability Effect
Amir Ghaedi Reza Sedaghati Mehrdad Mahmoudian

In the microgrids, it can be used from the renewable energy resources (RERs) such as photovolta-ic panels, wind turbines, wave energy converters and current type tidal turbines to reduce the greenhouse gas (GHG) emission arisen from fossil fuel-based generation units. H More

In the microgrids, it can be used from the renewable energy resources (RERs) such as photovolta-ic panels, wind turbines, wave energy converters and current type tidal turbines to reduce the greenhouse gas (GHG) emission arisen from fossil fuel-based generation units. However, the generated electrical power of these RERs are dependent on the wave height and wave period, solar radiation, the wind speed, and the tidal current speed. Due to the wide variation in the RERs, the generated electrical power of these generation units changes a lot and so, to supply the local load in the isolated microgrid, the conventional generation units and the energy storage sys-tems (ESSs) can be utilized. In this paper, optimal scheduling of a microgrid containing conven-tional generation units, ESS and RERs including wind turbines, photovoltaic panels, current type tidal turbines and wave energy converters is performed to determine the generated power of each generation unit provided that the cost function is minimum. In the cost function, the operation cost of the generation units based on fossil fuel and the penalty cost associated to the load cur-tailment as the reliability cost are considered and using of the particle swarm optimization (PSO) algorithm, the cost function is minimized. To study the capability and effectiveness of the pre-sented approach, the numerical results associated to the optimal scheduling of a microgrid con-taining battery, RERs, and conventional units are presented. Manuscript profile

Open Access Article

6 - A Novel Barrier function adaptive Terminal Sliding Mode Controller for Trajectory Tracking of a Nonholonomic Wheeled Mobile Robot
Fahime Kordi Hamidreza Reza Alikhani Javad Nikoukar

This paper introduces and discusses a new control strategy for nonholonomic wheeled mobile robots (WMR). Robot models include kinematic and dynamic equations of motion. A barrier function adaptive terminal sliding mode control is used to control the movement of the robo More

This paper introduces and discusses a new control strategy for nonholonomic wheeled mobile robots (WMR). Robot models include kinematic and dynamic equations of motion. A barrier function adaptive terminal sliding mode control is used to control the movement of the robot. It considers sliding mode control (SMC) to deal with the dynamic model uncertainties of the chaos system, and uses a combination of SMC with an adaptive control approach to solve the upper boundaries problem of unknown model uncertainties and their estimation. Chattering is completely eliminated without over estimating the control gains by adopting an adaptive continuous barrier function in the dynamic switching function. Using the Lyapunov's stability theory, it was shown that the proposed scheme can guarantee the convergence of system states to the vicinity of the sliding surface in finite time. Additionally, the adoption of a sliding surface with a nonlinear and integral switching function resulted in removing the reaching phase of the sliding surface and yielding a controller that is robust to uncertainties from the start. The effectiveness of the proposed control method was assessed using three scenarios implemented to a Liu's uncertain chaotic system in MATLAB/Simulink environment. The obtained results confirmed the ability of the proposed approach to achieve continuous and smooth control rules for such chaotic systems. Among the main attributes of the proposed control method are its ability to completely eliminate chattering and yield a robust performance against model uncertainties and unknown external disturbances. Manuscript profile

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