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                <text>Chellali, Farouk</text>
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                <text>Nourdine , Kabouche</text>
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                <text>Recioui, Abdelmadjid</text>
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                <text>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.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/133</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/133/115</text>
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                <text>Copyright (c) 2021 Farouk Chellali, Nourdine  Kabouche, Abdelmadjid  Recioui</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 6 No. 2 (2021): Vol.6 issue2; 75-97</text>
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                <text>2676-1548</text>
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                <text>Solar energy, solar radiation model, solar radiation estimation; solar map.</text>
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                <text>A Review on Solar Radiation Assessment and Forecasting in Algeria (Part 1: Solar Radiation Assessment)</text>
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                <text>BENFRIHA, ELHASSEN</text>
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                <text>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.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/132</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/132/119</text>
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                <text>Copyright (c) 2021 ELHASSEN BENFRIHA</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 6 No. 3 (2021): AJSS; 163-168</text>
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                <text>2676-1548</text>
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                <text>Geostationary satellite</text>
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                <text>Thruster attitude control</text>
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                <text>Station keeping</text>
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                <text>Bang-Bang Attitude Control During East-West Station Keeping For Geostationary Satellite</text>
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                <text>benmansour, jalal eddine</text>
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                <text>khouane, boulanouare</text>
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                <text>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.&amp;nbsp; 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.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/131</text>
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                <text>10.51485/ajss.v6i3.131</text>
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                <text>eng</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/131/125</text>
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                <text>Copyright (c) 2021 jalal eddine benmansour, boulanouare khouane</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 6 No. 3 (2021): AJSS; 175-180</text>
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                <text>2676-1548</text>
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                <text>2543-3792</text>
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                <text>10.51485/ajss.v6i3</text>
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                <text>Composite Disturbance Observer</text>
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                <text>Flexible satellite</text>
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                <text>Attitude control</text>
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                <text>Slosh</text>
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                <text>Coupling dynamics</text>
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                <text>Attitude stabilization of slosh-coupled satellite with flexible appendage</text>
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                <text>MBIHI DJOUMESSI, markov</text>
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                <text>&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 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.&amp;nbsp; 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.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/130</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 6 No. 2 (2021): Vol.6 issue2; 112-121</text>
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                <text>Adaptive Fuzzy Actuator Failure Compensation Control for a Class of MIMO Nonlinear Systems</text>
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                <text>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.</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 6 No. 2 (2021): Vol.6 issue2; 122-129</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 6 No. 1 (2021): Algerian Journal of Signals and Systems; 55-60</text>
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                <text>CETIN, Numan S.</text>
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                <text>Arif, Salem</text>
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                <text>sebaa, Karim</text>
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              <elementText elementTextId="339866">
                <text>The integration of clean or renewable sources such as wind turbines based distributed generation (WT_DG) into the power system has become one of the priorities of the grid operator. In this paper a study on the search for optimal locations and sizes of WT in the transmission network has been carried in order to maximize the lambda parameter and therefore the voltage stability, using Genetic Algorithms Technique (GAT). This method has been applied on the modified IEEE 30 bus network, with MATLAB code. The results demonstrated the effectiveness of wind turbine integration in improving the voltage stability of the studied network.&amp;nbsp; &amp;nbsp;&amp;nbsp;</text>
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              <elementText elementTextId="339868">
                <text>https://ajss.dz/index.php/ajss/article/view/124</text>
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                <text>10.51485/ajss.v6i1.124</text>
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            <description>A language of the resource</description>
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                <text>eng</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/124/111</text>
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              <elementText elementTextId="339873">
                <text>https://ajss.dz/index.php/ajss/article/view/124/113</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="339874">
                <text>Copyright (c) 2021 mustafa mosbah, Raimon Bawazir, Numan S.  CETIN, Salem  Arif, Karim  sebaa</text>
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              <elementText elementTextId="339875">
                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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          <element elementId="48">
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              <elementText elementTextId="339876">
                <text>Algerian Journal of Signals and Systems ; Vol. 6 No. 1 (2021): Algerian Journal of Signals and Systems; 49-54</text>
              </elementText>
              <elementText elementTextId="339877">
                <text>2676-1548</text>
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              <elementText elementTextId="339878">
                <text>2543-3792</text>
              </elementText>
              <elementText elementTextId="339879">
                <text>10.51485/ajss.v6i1</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="339880">
                <text>Power system, Voltage stability, Wind turbine</text>
              </elementText>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
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                <text>Voltage Stability Maximization by Optimal Wind Turbine Insertion Using Genetic Algorithm</text>
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              <name>Title</name>
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                <elementText elementTextId="336950">
                  <text>Algerian Journal of Signals and Systems </text>
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          <element elementId="39">
            <name>Creator</name>
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              <elementText elementTextId="339840">
                <text>zidani, mohamed yazid</text>
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            <name>Date</name>
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            <elementTextContainer>
              <elementText elementTextId="339841">
                <text>2021-09-30</text>
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                <text>The sliding mode control (SMC) methodology based on the theory of variable structure systems has been widely used for robust control of nonlinear systems. Nevertheless, this type of control has an essential inconvenience, which is the chattering phenomenon caused by the discontinuous control part. In order to reduce the effects of the chattering phenomenon, second order sliding mode (SOSM) seems to be a very attractive solution. To eliminate the remains of chattering phenomenon, a new control scheme based on fuzzy second order sliding mode control (FSOSMC) is proposed in this paper. This fuzzy second order sliding mode controller is destined to the speed control of doubly fed induction motor (DFIM) which is based on the decoupling control to enhance robustness under different operating conditions such as load torque and in the presence of parameters variation.
The simulation results for various scenarios show the performances of the proposed control in terms of, precision, rapidity and stability for the high powers DFIM operating at variable speeds.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="339843">
                <text>application/pdf</text>
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              <elementText elementTextId="339844">
                <text>https://ajss.dz/index.php/ajss/article/view/123</text>
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              <elementText elementTextId="339845">
                <text>10.51485/ajss.v6i3.123</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="339846">
                <text>eng</text>
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          <element elementId="45">
            <name>Publisher</name>
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            <elementTextContainer>
              <elementText elementTextId="339847">
                <text>Laboratory of Signals and Systems, Algeria</text>
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              <elementText elementTextId="339848">
                <text>https://ajss.dz/index.php/ajss/article/view/123/124</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="339849">
                <text>Copyright (c) 2021 mohamed yazid zidani</text>
              </elementText>
              <elementText elementTextId="339850">
                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="339851">
                <text>Algerian Journal of Signals and Systems ; Vol. 6 No. 3 (2021): AJSS; 169-174</text>
              </elementText>
              <elementText elementTextId="339852">
                <text>2676-1548</text>
              </elementText>
              <elementText elementTextId="339853">
                <text>2543-3792</text>
              </elementText>
              <elementText elementTextId="339854">
                <text>10.51485/ajss.v6i3</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="339855">
                <text>DFIM , Decoupling Control,  SOSMC,  FSOSMC.</text>
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            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="339856">
                <text>Dynamic Performance Improvement of Doubly Fed Induction Motor Based on Hybrid Computational Technique and Variable Structure Control</text>
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            </elementTextContainer>
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            <name>Type</name>
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                <text>info:eu-repo/semantics/article</text>
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                <text>Peer-reviewed Article</text>
              </elementText>
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          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="336950">
                  <text>Algerian Journal of Signals and Systems </text>
                </elementText>
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      <name>articles</name>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="339814">
                <text>KATEB, Yousra</text>
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                <text>MEGLOULI , Hocine</text>
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              <elementText elementTextId="339816">
                <text>KHEBLI, Abdelmalek</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="339817">
                <text>2020-12-15</text>
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            <description>An account of the resource</description>
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                <text>Steel is the most important engineering and construction material in the world. It is used in all aspects of our lives. But as every metal is can be defected and then will not be useful by the consumer Steel surface inspection has seen an important attention in relation with industrial quality of products. In addition, it has been studied in different methods based on image classification in the most of time, but these can detect only such kind of defects in very limited conditions such as illumination, obvious contours, contrast and noise...etc. In this paper, we aim to try a new method to detect steel defects this last depend on artificial intelligence and artificial neural networks. We will discuss the automatic detection of steel surface defects using the convolutional neural network, which can classify the images in their specific classes. The steel we are going to use will be well-classified weather the conditions of imaging are not the same, and this is the advantage of the convolutional neural network in our work. The accuracy and the robustness of the results are so satisfying.</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>application/pdf</text>
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              <elementText elementTextId="339820">
                <text>https://ajss.dz/index.php/ajss/article/view/122</text>
              </elementText>
              <elementText elementTextId="339821">
                <text>10.51485/ajss.v5i4.122</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="339822">
                <text>eng</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="339823">
                <text>Laboratory of Signals and Systems, Algeria</text>
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          <element elementId="46">
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              <elementText elementTextId="339824">
                <text>https://ajss.dz/index.php/ajss/article/view/122/104</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="339825">
                <text>Copyright (c) 2020 Yousra KATEB, Hocine MEGLOULI , Abdelmalek KHEBLI</text>
              </elementText>
              <elementText elementTextId="339826">
                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="339827">
                <text>Algerian Journal of Signals and Systems ; Vol. 5 No. 4 (2020); 203-208</text>
              </elementText>
              <elementText elementTextId="339828">
                <text>2676-1548</text>
              </elementText>
              <elementText elementTextId="339829">
                <text>2543-3792</text>
              </elementText>
              <elementText elementTextId="339830">
                <text>10.51485/ajss.v5i4</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="339831">
                <text>Steel surface</text>
              </elementText>
              <elementText elementTextId="339832">
                <text>Defect detectioN</text>
              </elementText>
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                <text>Image classification</text>
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                <text>Convolutional Neural Network</text>
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                <text>ResNet-50</text>
              </elementText>
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            <name>Title</name>
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            <elementTextContainer>
              <elementText elementTextId="339836">
                <text>Steel Surface Defect Detection Using Convolutional Neural Network</text>
              </elementText>
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