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var str = 'Load Balancing in Smart Grids using Multi-Objective Evolutionary Optimization';
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]]>
Load balancing]]>
Renewable energies]]>
Multi-objective evolutionary optimization]]>
The work deals with the balance between the supplied and consumed power in a residential area. An optimization task is formulated and solved. The extension of the optimization task formulation to include renewable sources is also provided. It is shown in the results that using the deployed optimization technique, a significant reduction in the energy usage cost and the waiting time of the appliances (delay) for residential consumers can be achieved. This work can be used in smart home and smart cities applications.]]>
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var str = 'Bouaraki, Mouloud';
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]]>
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var str = 'Dekhandji, Fatma Zohra';
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]]>
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var str = 'Abdi, Lina Amel';
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]]>
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var str = 'Recioui, AEM';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 3 (2021): AJSS; 147-156]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i3]]>
Laboratory of Signals and Systems, Algeria]]>
2021-09-30]]>
Copyright (c) 2021 Mouloud Bouaraki, Fatma Zohra Dekhandji, Lina Amel Abdi, AEM Recioui]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/138/121]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/138]]>
10.51485/ajss.v6i3.138]]>
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var str = 'Improvement of Voltage Profile by Optimal Integration of PV-DG in Distribution Power System';
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]]>
Integrating Distributed Generation (DG) based on renewable energy sources such as Photovoltaic (PV), has become one of the government's priorities in the use of clean energy on a large scale. Since the radial power system is not completely prepared for high injection of PV-DG, the optimization method has to be applied to PV-DG. This paper aims to find the optimal location and size of the PV-DG to improve the voltage profile using the Biogeography-Based Optimization algorithm (BBOA). Due to the voltage problems occurs more at low voltage in nature than the high voltage, BBOA is implemented on the 10, 69, 85, and 118 bus IEEE distribution systems using the MATLAB code. The results of this study show that the voltage profiles in all different power systems are improved.]]>
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var str = 'bawazir, raimon';
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]]>
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var str = 'Cetin, Numan';
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]]>
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var str = 'Mosbah, Mustafa';
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var str = 'Arif, Salem';
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var str = 'Zine, Rabie';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 4 (2021); 199-205]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i4]]>
Laboratory of Signals and Systems, Algeria]]>
2021-12-31]]>
Copyright (c) 2021 raimon bawazir, Numan Cetin, Mustafa Mosbah, Salem Arif, Rabie Zine]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/137/126]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/137]]>
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var str = 'Design of Microstrip Low-pass and Band-pass Filters using Artificial Neural Networks';
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]]>
artificial neural network model, microstrip low-pass and band-pass filters, parallel coupled-line, stepped impedance.]]>
Usually the design of microstrip filters is done using simulators and classical approximation methods as Butterworth and Chebyshev, these techniques takes a lot of time to run for designing filters. In this paper we develop a faster artificial neural network model for designing a microstrip low-pass and band-pass filters for all rang of operating frequency , when the input are the dimensions of filter, operating frequency, the features of substrate, and the output are the transmission and reflection coefficients. The database uses for training this model is generated by a linear simulator based on circuits model. Two filters designed by the developed model are a stepped impedance low-pass filter with a cut-off frequency of 1 GHz and a parallel coupled-line band-pass filter with fractional bandwidth of 25 % and a central frequency of 2.45 GHz. The results of simulation are compared with desired results and the effectiveness of this method has been proven.]]>
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var str = 'HATHAT, AHMED';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 3 (2021): AJSS; 157-162]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i3]]>
Laboratory of Signals and Systems, Algeria]]>
2021-09-30]]>
Copyright (c) 2021 AHMED HATHAT]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/134/122]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/134]]>
10.51485/ajss.v6i3.134]]>
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var str = 'A Review on Solar Radiation Assessment and Forecasting in Algeria (Part 1: Solar Radiation Assessment)';
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]]>
Solar energy, solar radiation model, solar radiation estimation; solar map.]]>
Solar energy takes a prime place in the energetic transition towards renewable energies. Solar radiation data plays a major role in the expansion of this energy. However, the unavailability of these data due to the reduced number of meteorological stations has imposed the use of various solar radiation estimation and prediction models. Moreover, the geostrategic location of Algeria, its enormous area and its huge solar potential places it among the promising solar energy countries. The main objective of this part is to review the studies done upon estimation and assessment of solar radiation for Algerian sites. Different techniques are proposed including semi-empirical models, satellite imaging and solar maps. The study shows that semi-empirical models have been the most widely used due to the unavailability of solar data.]]>
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var str = 'Chellali, Farouk';
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]]>
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var str = 'Nourdine , Kabouche';
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]]>
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var str = 'Recioui, Abdelmadjid';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 2 (2021): Vol.6 issue2; 75-97]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i2]]>
Laboratory of Signals and Systems, Algeria]]>
2021-06-30]]>
Copyright (c) 2021 Farouk Chellali, Nourdine Kabouche, Abdelmadjid Recioui]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/133/115]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/133]]>
10.51485/ajss.v6i2.133]]>
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var str = 'Bang-Bang Attitude Control During East-West Station Keeping For Geostationary Satellite';
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]]>
Geostationary satellite]]>
Thruster attitude control]]>
Station keeping]]>
Bang-Bang]]>
Dead-band]]>
This paper investigates the East-West station keeping strategy of geostationary satellites which must be performed to correct the drift caused by natural perturbation forces. The attitude control requirements as well as the pointing accuracy must be maintained during the station-keeping maneuver in order to assure the mission services. The propulsion system (chemical thrusters) is used to control both the orbit control (station keeping) and the attitude control where the ON/OFF thrusters pulses are managed using Bang-Bang controller with dead-band technique. Simulation results can clearly illustrate the feasibility and the effectiveness of the proposed control strategy.]]>
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var str = 'BENFRIHA, ELHASSEN';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 3 (2021): AJSS; 163-168]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i3]]>
Laboratory of Signals and Systems, Algeria]]>
2021-09-30]]>
Copyright (c) 2021 ELHASSEN BENFRIHA]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/132/119]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/132]]>
10.51485/ajss.v6i3.132]]>
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var str = 'Attitude stabilization of slosh-coupled satellite with flexible appendage';
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]]>
Composite Disturbance Observer]]>
Flexible satellite]]>
Attitude control]]>
Slosh]]>
Coupling dynamics]]>
In this paper, a robust control scheme is proposed for flexible satellite attitude stabilization in the presence of multiple disturbances including the disturbances caused by flexible appendages with the sloshing dynamics of the liquid propellant and external disturbances from space environment. A composite control scheme is designed by combining a composite disturbance observer (CDO) with feed-forward controller. First, a CDO is constructed to estimate the lumped disturbances, where the lumped disturbances in the system are equivalent into two parts: a slow varying disturbance and periodic disturbance. Then a PD controller is adopted to stabilize the system and restrain the residue disturbance. Finally, the simulation results for flexible satellite verify that the proposed method can make the satellite asymptotically stable and demonstrate the effectiveness of the proposed scheme.]]>
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var str = 'benmansour, jalal eddine';
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]]>
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var str = 'khouane, boulanouare';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 3 (2021): AJSS; 175-180]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i3]]>
Laboratory of Signals and Systems, Algeria]]>
2021-09-30]]>
Copyright (c) 2021 jalal eddine benmansour, boulanouare khouane]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/131/125]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/131]]>
10.51485/ajss.v6i3.131]]>
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var str = 'Design and Virtual Simulation of an Optimal PID/LQRT-PSO Control System for 2WD Mobile Robots';
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]]>
2WD mobile robot, design PID/LQRT, PSO, PID/LQRT-PSO, trajectory tracking flowchart, virtual simulation]]>
This research paper presents a relevant contribution to optimal control of angular velocities with trajectories tracking for 2WD mobile robots. The dynamic model of each robotic servomechanisms is modelled from experimental data as a second order transfer function. Then, the direct and reverse kinematic equations are analytically developed. Then, the LQRT (Linear Quadratic Regulator with Tracking) gains for angular velocity of servomechanisms, are computed over infinite time horizon from corresponding Riccatti equations, using PSO (Particles Swarm Optimization) values of weighted matrix Q and R. Therefore, the LQRT solution computed from PSO of Q and R is known as LQRT-PSO. In addition, the LQRT-PSO gains computed from the related Riccati equations, are transformed into equivalent PID/LQRT-PSO gains for angular velocities control. Furthermore, a trajectory tracking flowchart is designed to reinforce the robustness of the overall control system. On the other hand, relevant developments conducted in the design step, are organized into an overall Matlab/Simulink PID/LQRT-PSO scheme. Finally, the obtained simulation results are presented in order to show the high performance of the proposed PID/LQRT-PSO control scheme for 2WD mobile robots.]]>
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var str = 'MBIHI DJOUMESSI, markov';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 2 (2021): Vol.6 issue2; 98-111]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i2]]>
Laboratory of Signals and Systems, Algeria]]>
2021-06-30]]>
Copyright (c) 2021 markov MBIHI DJOUMESSI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/130/116]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/130]]>
10.51485/ajss.v6i2.130]]>
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var str = 'Adaptive Fuzzy Actuator Failure Compensation Control for a Class of MIMO Nonlinear Systems';
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]]>
Actuator failures, Fuzzy Systems, Adaptive Control, Lyapunov Stability, Redundant manipulator]]>
In this paper, an adaptive fuzzy control scheme is developed for a class of uncertain multi-input multi-output (MIMO) nonlinear systems with uncertain actuator failures. Within this scheme, a fixed grouping of redundant actuators and a proportional actuation scheme for each group are considered. Afterward, a fuzzy system is used for the online approximation of a nominal control vector. The parameter adaptation laws for the nominal controller are driven by the prediction error, which is defined as the difference between the unknown nominal controller and the fuzzy controller. The proposed controller can compensate for both total and partial loss of effectiveness failure types. Closed-loop system stability and convergence properties of the tracking errors are proved based on Lyapunov theory. A piecewise analysis is carried out to prove that these properties hold despite the presence of parameter jumps caused by abrupt failures. A simulation study is carried out on a redundant joint two-link robot manipulator with joint failures at each link. Simulation results show the effectiveness of the proposed control scheme.]]>
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var str = 'Boulouma, Sabri';
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]]>
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var str = 'Labiod, Salim';
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]]>
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var str = 'Boubertakh, Hamid';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 2 (2021): Vol.6 issue2; 112-121]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i2]]>
Laboratory of Signals and Systems, Algeria]]>
2021-06-30]]>
Copyright (c) 2021 Sabri Boulouma, Salim Labiod, Hamid Boubertakh]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/128/117]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/128]]>
10.51485/ajss.v6i2.128]]>
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var str = 'Covid-19 Images and Video Denoising Algorithms Based on Convolutional Neural Network CNNs';
document.write(linkifyHtml(str, options));
]]>
Denoising, Deep learning, CNN, Covid-19, Gaussian noise, PSNR]]>
In this paper, the most sophisticated denoising algorithms of images and video are applied and implemented. More precisely, we study and implement the video denoising algorithms "VBM3D", "VBM4D", "DVDNet" and "FastDVDnet". Much attention is given to the latest DVDNet and FastDVDNet algorithms, which are based on CNN. We carry out a detailed quantitative and qualitative comparative study between the considered algorithms. Two assessments are adapted; the first is a qualitative comparison based on the qualityof the images / videos and the second is quantitative in terms of PSNR and running time criteria. To see the direct impact of our study on the current pandemic, and to show the importance of image and video preprocessing algorithms in the field of medical imaging; we apply the considered denoising algorithms based on CNN on our built COVID- 19 dataset and TEST_PCR videos.]]>
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};
var str = 'Messali, Zoubeida';
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]]>
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var str = 'SAAD SAOUD, Salsabil';
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]]>
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var str = 'LAMRECHE, Amira';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 2 (2021): Vol.6 issue2; 122-129]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i2]]>
Laboratory of Signals and Systems, Algeria]]>
2021-06-30]]>
Copyright (c) 2021 Zoubeida Messali, Salsabil SAAD SAOUD, Amira LAMRECHE]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/126/118]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/126]]>
10.51485/ajss.v6i2.126]]>
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var str = 'An Efficient Partial Sort Algorithm for Real Time Applications';
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An efficient partial sort algorithm that is less complex, and more practical to implement compared to existing partial sort algorithms especially for real time applications is presented. The proposed partial sort algorithm does not use pivots, but instead makes use of past sorting decisions to narrow the search for each new sorted element. A major advantage of the proposed partial sort algorithm is that its complexity and sorting time are fixed, and are not dependent upon the data to be sorted, unlike other algorithms. This makes it a good candidate for real time applications.]]>
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Algerian Journal of Signals and Systems ; Vol. 6 No. 1 (2021): Algerian Journal of Signals and Systems; 55-60]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i1]]>
Laboratory of Signals and Systems, Algeria]]>
2021-03-31]]>
Copyright (c) 2021 David Dominique, Faith Dominique]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/125/110]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/125]]>
10.51485/ajss.v6i1.125]]>