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                <text>mosbah, mustafa</text>
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                <text>Bawazir, Raimon</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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                <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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                <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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                <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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                <text>https://ajss.dz/index.php/ajss/article/view/124/113</text>
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              <elementText elementTextId="339874">
                <text>Copyright (c) 2021 mustafa mosbah, Raimon Bawazir, Numan S.  CETIN, Salem  Arif, Karim  sebaa</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 6 No. 1 (2021): Algerian Journal of Signals and Systems; 49-54</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.v6i1</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="339880">
                <text>Power system, Voltage stability, Wind turbine</text>
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                <text>Voltage Stability Maximization by Optimal Wind Turbine Insertion Using Genetic Algorithm</text>
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                  <text>Algerian Journal of Signals and Systems </text>
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                <text>zidani, mohamed yazid</text>
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                <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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                <text>https://ajss.dz/index.php/ajss/article/view/123</text>
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                <text>10.51485/ajss.v6i3.123</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/123/124</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="339849">
                <text>Copyright (c) 2021 mohamed yazid zidani</text>
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                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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          <element elementId="48">
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              <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>
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              <elementText elementTextId="339853">
                <text>2543-3792</text>
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              <elementText elementTextId="339854">
                <text>10.51485/ajss.v6i3</text>
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          <element elementId="49">
            <name>Subject</name>
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              <elementText elementTextId="339855">
                <text>DFIM , Decoupling Control,  SOSMC,  FSOSMC.</text>
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            <name>Title</name>
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              <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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                <text>Peer-reviewed Article</text>
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                  <text>Algerian Journal of Signals and Systems </text>
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          <element elementId="39">
            <name>Creator</name>
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              <elementText elementTextId="339814">
                <text>KATEB, Yousra</text>
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                <text>MEGLOULI , Hocine</text>
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                <text>KHEBLI, Abdelmalek</text>
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            <name>Date</name>
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              <elementText elementTextId="339817">
                <text>2020-12-15</text>
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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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                <text>https://ajss.dz/index.php/ajss/article/view/122</text>
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              <elementText elementTextId="339821">
                <text>10.51485/ajss.v5i4.122</text>
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                <text>eng</text>
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              <elementText elementTextId="339823">
                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/122/104</text>
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          <element elementId="47">
            <name>Rights</name>
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              <elementText elementTextId="339825">
                <text>Copyright (c) 2020 Yousra KATEB, Hocine MEGLOULI , Abdelmalek KHEBLI</text>
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                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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              <elementText elementTextId="339827">
                <text>Algerian Journal of Signals and Systems ; Vol. 5 No. 4 (2020); 203-208</text>
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              <elementText elementTextId="339828">
                <text>2676-1548</text>
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                <text>2543-3792</text>
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                <text>10.51485/ajss.v5i4</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="339831">
                <text>Steel surface</text>
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              <elementText elementTextId="339832">
                <text>Defect detectioN</text>
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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>
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            <name>Title</name>
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                <text>Steel Surface Defect Detection Using Convolutional Neural Network</text>
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                <text>Peer-reviewed Article</text>
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                  <text>Algerian Journal of Signals and Systems </text>
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              <elementText elementTextId="339789">
                <text>Sklab, Ramdane</text>
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                <text>ZENNIR, Youcef</text>
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              <elementText elementTextId="339791">
                <text>BENDIB, Riad</text>
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              <elementText elementTextId="339792">
                <text>2020-12-15</text>
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                <text>In order to maintain the integrity of its installation, the BIR EL MSANA (BMS) oil company has equipped itself with a safety instrumented system (SIS), complying with IEC 61508 and IEC 61511 standards. Whereas some constitutive functions of this system are disabled and not available, this means that the installations remains unprotected for a significant period of time, hence the obligation to look for adequate and permanent solutions. Through this work, we clarify the causes that led to this deactivation, proposing effective solutions for each case, this will allow reactivating them and ensuring a safe and sustainable exploitation.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/121</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/121/103</text>
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                <text>Copyright (c) 2020 Ramdane Sklab, Youcef ZENNIR, Riad BENDIB</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 5 No. 4 (2020); 224-231</text>
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                <text>2676-1548</text>
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                <text>2543-3792</text>
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                <text>safety instrumented system</text>
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                <text>safety instrumented function</text>
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                <text>spurious activation</text>
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                <text>disabled</text>
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                <text>Improvements in the performance of an SIS by bypass reduction on the safety functions</text>
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                  <text>Algerian Journal of Signals and Systems </text>
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                <text>Sefardjella , Hocine</text>
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                <text>Kabir, Abdennour</text>
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                <text>Boudjema, Bouzid</text>
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                <text>Aluminum doped tin oxide SnO2: Al thin films were deposited on glass substrates using spray pyrolysis method. The deposited films are a polycrystalline with a tetragonal rutile structure. The variation of lattice parameters a and c decreases as a function of Al concentration due to ionic radius of (Sn=0.71Å) and (Al=0.51Å).Crystallites sizes varied between 29.25 and 32.80 nm. Al the samples have a transmission raised between 92 and 95% in the visible range. The optical band gap energy was found to vary in the range of 3.68 - 3.85eV. Electrical measurements revealed the increase of the electrical conductivity with Al content and show a maximum at 2% of the doping and then decreases due to decrease of the grain size. Following this study we can conclude that the Aluminum doped tin oxide developed by this technique can be used in gas sensors and photovoltaic cells.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/120</text>
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                <text>10.51485/ajss.v5i4.120</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <text>eng</text>
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              <elementText elementTextId="339772">
                <text>Laboratory of Signals and Systems, Algeria</text>
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              <elementText elementTextId="339773">
                <text>https://ajss.dz/index.php/ajss/article/view/120/102</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="339774">
                <text>Copyright (c) 2020 Hocine Sefardjella , Abdennour Kabir, Bouzid Boudjema, Athmen Benhaoua</text>
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                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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              <elementText elementTextId="339776">
                <text>Algerian Journal of Signals and Systems ; Vol. 5 No. 4 (2020); 220-223</text>
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              <elementText elementTextId="339777">
                <text>2676-1548</text>
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              <elementText elementTextId="339778">
                <text>2543-3792</text>
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              <elementText elementTextId="339779">
                <text>10.51485/ajss.v5i4</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="339780">
                <text>Tin oxide</text>
              </elementText>
              <elementText elementTextId="339781">
                <text>XRD</text>
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                <text>Al content</text>
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                <text>spray pyrolysis</text>
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                <text>sensors</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Characterization of Aluminum-doped SnO2 thin films obtained by spray pyrolysis method</text>
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                  <text>Algerian Journal of Signals and Systems </text>
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          <element elementId="39">
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              <elementText elementTextId="339739">
                <text>DEKHANDJI, Fatma Zohra</text>
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                <text>A Phasor Measurement Unit (PMU) is a monitoring device, which serves in checking the power system condition by measuring voltage and current phasors along with frequency at a particular node. The basic structure of PMU consists of Synchronization Unit, Measurement Unit and Data Transmission Unit. The Measurement Unit has three components: Anti-aliasing filters, Analog-to-Digital Converter and Phasor measurement Unit/ Processor. An anti-aliasing filter ensures that all the analog signals have the same phase shift and attenuation thus assuring that the phase angle differences and relative magnitudes of the different signals are unchanged. Anti-aliasing filters made up of an analog front end and a digital decimation filter are far more stable as far as aging and temperature variations are concerned. IEEE C37.118 standard stipulates that it is mandatory to use the filter for avoiding any aliasing errors. Out of various analog filters, the Butterworth has been preferred due to its flat response in pass-band as compared to other filters. In this work, it is attempted to design anti-aliasing filters to be used in PMUs. The design problem is formulated as an optimization task that is solved using the Taguchi method. The results show better performance in terms characteristics compared to the conventional filters. The designed filters may be employed as building blocks in modern PMUs.</text>
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              <elementText elementTextId="339743">
                <text>https://ajss.dz/index.php/ajss/article/view/119</text>
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                <text>10.51485/ajss.v5i4.119</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <text>eng</text>
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              <elementText elementTextId="339746">
                <text>Laboratory of Signals and Systems, Algeria</text>
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              <elementText elementTextId="339747">
                <text>https://ajss.dz/index.php/ajss/article/view/119/101</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="339748">
                <text>Copyright (c) 2020 Fatma Zohra DEKHANDJI</text>
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              <elementText elementTextId="339749">
                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="339750">
                <text>Algerian Journal of Signals and Systems ; Vol. 5 No. 4 (2020); 215-219</text>
              </elementText>
              <elementText elementTextId="339751">
                <text>2676-1548</text>
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              <elementText elementTextId="339752">
                <text>2543-3792</text>
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              <elementText elementTextId="339753">
                <text>10.51485/ajss.v5i4</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="339754">
                <text>Anti-Aliasing filters</text>
              </elementText>
              <elementText elementTextId="339755">
                <text>optimization</text>
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                <text>Taguchi method</text>
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                <text>PMU</text>
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              <elementText elementTextId="339758">
                <text>Design Optimization of PMU Anti-Aliasing Filters using Taguchi Method</text>
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                <text>info:eu-repo/semantics/publishedVersion</text>
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            <element elementId="50">
              <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="339716">
                <text>RECIOUI, Abdelmadjid</text>
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            <name>Date</name>
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                <text>MIMO systems constitute a backbone of the fourth and fifth generations of wireless communication systems. The purpose of this paper is to introduce the involvement of conformal antenna arrays into MIMO systems. The Search Group Algorithm (SGA) is then used to further enhance the capacity of MIMO system employing conformal antenna arrays at both ends (Transmitter; Tx and Receiver; Rx). The results reveal that compared to the linear and 2D cases, conformal antenna arrays promise higher capacity values which motivates their employment in future MIMO communication systems.</text>
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                <text>application/pdf</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/118</text>
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              <elementText elementTextId="339721">
                <text>10.51485/ajss.v5i4.118</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="339722">
                <text>eng</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="339723">
                <text>Laboratory of Signals and Systems, Algeria</text>
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            <description>A related resource</description>
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              <elementText elementTextId="339724">
                <text>https://ajss.dz/index.php/ajss/article/view/118/100</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="339725">
                <text>Copyright (c) 2020 Abdelmadjid RECIOUI</text>
              </elementText>
              <elementText elementTextId="339726">
                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="339727">
                <text>Algerian Journal of Signals and Systems ; Vol. 5 No. 4 (2020); 209-214</text>
              </elementText>
              <elementText elementTextId="339728">
                <text>2676-1548</text>
              </elementText>
              <elementText elementTextId="339729">
                <text>2543-3792</text>
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              <elementText elementTextId="339730">
                <text>10.51485/ajss.v5i4</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="339731">
                <text>MIMO  systems</text>
              </elementText>
              <elementText elementTextId="339732">
                <text>Capacity  enhancement</text>
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              <elementText elementTextId="339733">
                <text>Search  Group  Algorithm</text>
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                <text>conformal  antenna arrays</text>
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          <element elementId="50">
            <name>Title</name>
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              <elementText elementTextId="339735">
                <text>Capacity Optimization of MIMO Systems Involving Conformal Antenna Arrays using a Search Group Algorithm</text>
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                <text>This paper presents a study of fractional order systems modeling and identification by recursive least squares (RLS) with forgetting factor estimation technique. The fractional order integrators are implemented using the Singularity Function approximation method. Parametric Identification of fractional order differential equations (FDE) is investigated when estimating system parameters by a linear model with respect to parameters, as well as non-integer orders from temporal data (H n1,n2 )-type model. A numerical simulation example illustrates the effectiveness of the proposed identification approach to ensure the convergence of the plant and model outputs even if a bias is persistent in parameters’ values.</text>
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                <text>Copyright (c) 2020 Yamina Ali Larnene, Samir LADACI, Aissa Belemeguenai</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 5 No. 4 (2020); 197-202</text>
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                <text>2676-1548</text>
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                <text>System Identification</text>
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                <text>Recursive Estimation</text>
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                <text>Recursive Least squares Method</text>
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                <text>Fractional order Integrator</text>
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                <text>Singularity Function approximation</text>
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                <text>RLS-based Identification of fractional order H n1,n2 system using the Singularity Function approximation</text>
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                <text>BOUSBA, DALILA</text>
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                <text>Biomass-derived porous carbons are attractive materials for the synthesis of carbon-supported catalysts, carbonaceous catalysts are environmentally benign and could provide an important competitive advantage as compared to existing heterogeneous catalysts, however the surface properties of carbon materials and excellent physical and chemical properties are compatible with diverse catalysis reactions including organic transformations. Currently, activated carbons are one of well known carbonaceous materials for their catalytic properties and for use as support in heterogeneous catalysis. The supported catalysts have been successfully used in the chemical industries for a long time, in which carbon supported catalysts have allowed to a new chemical catalytic process, on the other hand Heterogeneous catalysis plays a key role in the manufacture of essential products in different fields. In this paper, we present a comparative study, between two main different methods for activated carbons (ACs) preparation namely, physical and chemical activations. Latter was prepared from agro-industrial biomass and used as a support to prepare monometallic (dry impregnation and excess impregnation) and bimetallic catalyst (successive impregnation and co impregnation).</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/116</text>
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                <text>10.51485/ajss.v5i4.116</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/116/98</text>
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              <elementText elementTextId="339676">
                <text>Copyright (c) 2020 DALILA BOUSBA, CHAFIA SOBHI, AMNA ZOUAOUI, SOUAD BOUASLA</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 5 No. 4 (2020); 190-196</text>
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                <text>2676-1548</text>
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                <text>10.51485/ajss.v5i4</text>
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                <text>Activated carbons</text>
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                <text>chemical activation</text>
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                <text>Physical activation</text>
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                <text>supported catalyst</text>
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                <text>Synthesis of activated carbon sand their application in the synthesis of monometallic and bimetallic supported catalysts</text>
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                <text>CHAFAI, Mahfoud</text>
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                <text>ZITOUNI, Abdelkader</text>
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                <text>BENTARZI, Hamid</text>
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                <text>Mitigation of the major risk caused by the Coronavirus epidemic must be approached in a scientific manner by using methods and tools of risk analysis and management. In order to develop an effective strategy, emergency plan based on these methods for minimizing human losses whatever the scenario that may arise in the future may be established.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/114</text>
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                <text>10.51485/ajss.v5i3.114</text>
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                <text>eng</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="339649">
                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/114/97</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="339651">
                <text>Copyright (c) 2020 Mahfoud CHAFAI, Abdelkader ZITOUNI, Hamid BENTARZI</text>
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              <elementText elementTextId="339653">
                <text>Algerian Journal of Signals and Systems ; Vol. 5 No. 3 (2020); 179-189</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.v5i3</text>
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                <text>Covid-19 Epidemic</text>
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                <text>risk analysis and management</text>
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                <text>Covid-19 Epidemic Control Strategy Using Risk Analysis and Decision Making Tools</text>
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