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                  <text>Algerian Journal of Signals and Systems </text>
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                <text>Laddada , S.</text>
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                <text>Benkedjouh, T.</text>
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                <text>Si- Chaib, M. O.</text>
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                <text>DRAI, R.</text>
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                <text>Online tool wear prediction is a determining factor to the success of smart manufacturing operations. The implementation of sensors based Prognostic and Health Management (PHM) system plays an important role in estimating Remaining Useful Life (RUL) of cutting tools and optimizing the usage of Computer Numerically Controlled (CNC) machines. The present paper deals with health assessment and RUL estimation of the cutting tool machines based on Wavelet Packet Transform (WPT) and Extreme Learning Machine (ELM). This approach is done in two phases: a learning (offline) phase and a testing (online) phase. During the first phase, the WPT is used to extract the relevant features of raw data computed in the form of nodes energy. The extracted features are then fed to the learning algorithm ELM in order to build an offline model. In the online phase, the constructed model is exploited for assessing and predicting the RUL of cutting tool. The main idea is that ELM involves nonlinear regression in a high dimensional feature space for mapping the input data via a nonlinear function to build a prognostics model. The method was applied to real world data gathered during several cuts of a milling CNC tool. The performance of the proposed method is evaluated through the accuracy metric. Results showed the significance performances achieved by the WPT and ELM for early detection and accurate prediction of the monitored cutting tools.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/72</text>
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                <text>10.51485/ajss.v3i4.72</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/72/58</text>
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                <text>Copyright (c) 2018 S. Laddada , T. Benkedjouh, M. O. Si- Chaib, R. DRAI</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 3 No. 4 (2018); 156-165</text>
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              <elementText elementTextId="338614">
                <text>2676-1548</text>
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                <text>2543-3792</text>
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                <text>10.51485/ajss.v3i4</text>
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                <text>Feature extraction</text>
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                <text>Prognostic</text>
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                <text>ELM</text>
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                <text>WPT</text>
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                <text>RUL</text>
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                <text>Remaining useful life prediction of cutting tools using wavelet packet transform and extreme learning machine</text>
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                  <text>Algerian Journal of Signals and Systems </text>
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                <text>KOURDI, Z.</text>
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                <text>KARA ALI, O.</text>
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                <text>The results of this study are interesting about antenna technology generation used in small satellite. A new design optimized of the TCR (tracking, command and ranging) antenna has been presented. It has a good impedance matching to the 50 Ohm coaxial line which has been radically enhanced with different geometric features. For the Ku band frequency band, the VSWR of 1.15 is not exceeded. In its optimized version, it is compact and aesthetic and this property reduces antenna distortions. Design considerations for this antenna performance in terms of coverage gain, side lobe isolation, and cross-polar isolation are discussed. The paper also discusses the possibilities of extending the frequency coverage of the antenna system into the Ku-band system can increase the capabilities and operational flexibility of existing earth stations as well as adapts with new current and future technology trends are presented.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/71</text>
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                <text>10.51485/ajss.v3i4.71</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/71/57</text>
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                <text>Copyright (c) 2018 Z.  KOURDI, O.  KARA ALI</text>
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                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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              <elementText elementTextId="338587">
                <text>Algerian Journal of Signals and Systems ; Vol. 3 No. 4 (2018); 151-155</text>
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              <elementText elementTextId="338588">
                <text>2676-1548</text>
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                <text>2543-3792</text>
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                <text>10.51485/ajss.v3i4</text>
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          <element elementId="49">
            <name>Subject</name>
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              <elementText elementTextId="338591">
                <text>Tracking Command Ranging</text>
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              <elementText elementTextId="338592">
                <text>small satellite</text>
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                <text>Ku-band</text>
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                <text>Omni Antenna</text>
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                <text>TCR Antenna For Small Satellite Application</text>
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                  <text>Algerian Journal of Signals and Systems </text>
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                <text>CHAHMI, Abdelghani</text>
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                <text>2018-09-15</text>
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                <text>This work is a part of the thematic of monitoring and fault diagnosis of the squirrel cage three-phase induction machine. The choice of this type of machine is justified by the growing success it has exhibited, mainly, in the electric drives with variable speed. Signal based detection methods are presented is validated in simulation. The proposed diagnosis approach requires only little experimental data, and more importantly it provides efficient simulation tools that allow characterizing faulty behavior.In this study, the proposed approach considers the value of rotor resistance as fixed for condition monitoring. This value in the diagnostic tools which one uses is not fixed contrary to the classical approaches of control of machine.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/70</text>
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                <text>10.51485/ajss.v3i3.70</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/70/56</text>
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              <elementText elementTextId="338561">
                <text>Copyright (c) 2018 Abdelghani  CHAHMI</text>
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                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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              <elementText elementTextId="338563">
                <text>Algerian Journal of Signals and Systems ; Vol. 3 No. 3 (2018); 143-150</text>
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              <elementText elementTextId="338564">
                <text>2676-1548</text>
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                <text>2543-3792</text>
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                <text>10.51485/ajss.v3i3</text>
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          <element elementId="49">
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              <elementText elementTextId="338567">
                <text>Modeling</text>
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                <text>Induction Motor</text>
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                <text>Rotor Defect</text>
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                <text>Extended Kalman Filter</text>
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                <text>Diagnosis of the Induction Machine Using Advanced Signal Processing Methods</text>
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                  <text>Algerian Journal of Signals and Systems </text>
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                <text>KIRAD, Abderrahmen</text>
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                <text>Grouni, Said</text>
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                <text>MECHALI, Omar</text>
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                <text>This paper presents a nonlinear backstepping control strategy used to ensure good dynamic behavior, high performance and the stability of the permanent magnet synchronous motor (PMSM). However, this control requires the precise knowledge of certain variables (speed, torque and position) that are difficult to access or sensors require additional mounting space, reduce reliability, increase the cost of the engine, and make maintenance difficult. Thus, an Extended Kalman Filter (EKF) approach is proposed for the estimation of speed and rotor position in the PMSM. The interesting simulation results obtained which are subjected to the load perturbation show very well the efficiency and the good performance of the nonlinear feedback control proposed and simulated in Matlab-Simulink.</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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              <elementText elementTextId="338537">
                <text>Copyright (c) 2018 Abderrahmen  KIRAD, Said  Grouni, Omar  MECHALI</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 3 No. 3 (2018); 133-142</text>
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                <text>2676-1548</text>
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                <text>10.51485/ajss.v3i3</text>
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                <text>Permanent  magnet  synchronous  motor  (PMSM)</text>
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                <text>nonlinear  backstepping  control</text>
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                <text>sensorless control</text>
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                <text>Extended Kalman filter(EKF)</text>
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                <text>Matlab-Simulink</text>
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                <text>Nonlinear Backstepping Control of Permanent Magnet Synchronous Motor with Rotor Speed and Position Estimation</text>
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                <text>HADJ IRID, SIDI MOHAMMED</text>
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                <text>KAMECHE, SAMIR</text>
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                <text>DOA estimation in array processing uses MUSIC (Multiple Signal Classification) algorithm, mainly. It’s the most investigated technique and is very attractive because of its simplicity. However, it meets drawbacks and fails when only very few samples are available and the sources are very close or highly correlated. In these conditions, the problem is more intricate and the detection of targets becomes arduous. To overcome these problems, a new algorithm is developed in this paper. We combine bootstrap technique to increase sample size, spatial sampling and MUSIC method to improve resolution. Through different simulations, the performance and the effectiveness of the proposed approach, referred as spatial Sampling and Bootstrapped technique ‘’SSBoot’’, are demonstrated.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/68</text>
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                <text>10.51485/ajss.v3i3.68</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/68/54</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="338511">
                <text>Copyright (c) 2018 SIDI MOHAMMED  HADJ IRID, SAMIR KAMECHE</text>
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              <elementText elementTextId="338512">
                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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              <elementText elementTextId="338513">
                <text>Algerian Journal of Signals and Systems ; Vol. 3 No. 3 (2018); 125-132</text>
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              <elementText elementTextId="338514">
                <text>2676-1548</text>
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              <elementText elementTextId="338515">
                <text>2543-3792</text>
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                <text>10.51485/ajss.v3i3</text>
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              <elementText elementTextId="338517">
                <text>DOA</text>
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                <text>Array processing</text>
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                <text>spatial sampling</text>
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                <text>MUSIC method</text>
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                <text>Bootstrap technique</text>
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            <name>Title</name>
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            <elementTextContainer>
              <elementText elementTextId="338522">
                <text>Combining MUSIC Spatial Sampling and Bootstrap to Estimate Closed Space DOA for Few Samples</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="338474">
                <text>BOURAS, Khedidja</text>
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                <text>LABIAD, Abdelhadi</text>
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                <text>SALEH, Chaker</text>
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                <text>BOUZOUAD, Mouloud</text>
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                <text>2018-09-15</text>
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              <elementText elementTextId="338479">
                <text>In this work, we are interested by emulating metamaterial microwave waveguides which behave like conventional metallic ones. We use metamaterial layers based on two types of unit cells. The first one is a connected cross type unit cell which leads to a metamaterial with a near zero refraction index (n1≈ 0). The second one is a disconnected cross type unit cell which leads to a metamaterial with a refraction index greater than unity (n2 &amp;gt;1). With these two type of metamaterials we can define, in the metamaterial layer, different sections each one can have a refraction index equal to n1 or n2. Using these metamaterial layers we can build a metamaterial waveguide. This latter is obtained by stacking a number of layers. The waveguide is obtained by selecting an inner section with a refraction index n2 and an outer section with a refraction index n1 close to zero which plays a similar role as a metallic reflector to form the waveguide.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>application/pdf</text>
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            <name>Identifier</name>
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              <elementText elementTextId="338481">
                <text>https://ajss.dz/index.php/ajss/article/view/67</text>
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              <elementText elementTextId="338482">
                <text>10.51485/ajss.v3i3.67</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="338483">
                <text>eng</text>
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            <name>Publisher</name>
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              <elementText elementTextId="338484">
                <text>Laboratory of Signals and Systems, Algeria</text>
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              <elementText elementTextId="338485">
                <text>https://ajss.dz/index.php/ajss/article/view/67/53</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="338486">
                <text>Copyright (c) 2018 Khedidja  BOURAS, Abdelhadi  LABIAD, Chaker  SALEH, Mouloud  BOUZOUAD</text>
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              <elementText elementTextId="338487">
                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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              <elementText elementTextId="338488">
                <text>Algerian Journal of Signals and Systems ; Vol. 3 No. 3 (2018); 117-124</text>
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              <elementText elementTextId="338489">
                <text>2676-1548</text>
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              <elementText elementTextId="338490">
                <text>2543-3792</text>
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              <elementText elementTextId="338491">
                <text>10.51485/ajss.v3i3</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="338492">
                <text>Metamaterial</text>
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              <elementText elementTextId="338493">
                <text>Waveguides</text>
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              <elementText elementTextId="338494">
                <text>Refractive index,</text>
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              <elementText elementTextId="338495">
                <text>Dispersion diagram</text>
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              <elementText elementTextId="338496">
                <text>Metamaterial  waveguides</text>
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                <text>Emulation of metamaterial waveguides</text>
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                <text>info:eu-repo/semantics/article</text>
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              <elementText elementTextId="338499">
                <text>info:eu-repo/semantics/publishedVersion</text>
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                <text>Peer-reviewed Article</text>
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            <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>
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          <element elementId="39">
            <name>Creator</name>
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                <text>BENSAOUCHA, Saddam</text>
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                <text>BESSEDIK, Sid Ahmed</text>
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                <text>AMEUR, Aissa</text>
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                <text>SEGHIOUR, Abdellatif</text>
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                <text>2018-09-15</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="338452">
                <text>In this paper, a study has presented the performance of a neural networks technique to detect the broken rotor bars (BRBs) fault in induction motors (IMs). In this context, the fast Fourier transform (FFT) applied on Hilbert modulus obtained via the stator current signal has been used as a diagnostic signal to replace the FFT classic, the characteristics frequency are selected from the Hilbert modulus spectrum, in addition, the different load conditions are used as three inputs data for the neural networks. The efficiency of the proposed method is verified by simulation in MATLAB environment.</text>
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                <text>application/pdf</text>
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              <elementText elementTextId="338454">
                <text>https://ajss.dz/index.php/ajss/article/view/66</text>
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              <elementText elementTextId="338455">
                <text>10.51485/ajss.v3i3.66</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="338456">
                <text>eng</text>
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              <elementText elementTextId="338457">
                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/66/52</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="338459">
                <text>Copyright (c) 2018 Saddam  BENSAOUCHA, Sid Ahmed  BESSEDIK, Aissa  AMEUR, Abdellatif SEGHIOUR</text>
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              <elementText elementTextId="338460">
                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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              <elementText elementTextId="338461">
                <text>Algerian Journal of Signals and Systems ; Vol. 3 No. 3 (2018); 106-116</text>
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              <elementText elementTextId="338462">
                <text>2676-1548</text>
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              <elementText elementTextId="338463">
                <text>2543-3792</text>
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              <elementText elementTextId="338464">
                <text>10.51485/ajss.v3i3</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Induction motors</text>
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              <elementText elementTextId="338466">
                <text>Broken rotor bars</text>
              </elementText>
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                <text>Faults detection</text>
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                <text>Envelope analysis</text>
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                <text>Neural networks</text>
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                <text>This paper presents a three phase single stage grid connected photovoltaic PV system. Maximum power transfer from the solar array to grid is ensured by using fuzzy logic (FL) based maximum power point tracking (MPPT) controller. The proposed MPPT technique provides fast and high performances under variable climate conditions as well as sudden variation of irradiance level. Change of measured photovoltaic power and its rate of change are the input variables of the proposed fuzzy logic controller while the change in reference current is deﬁned as the output variable. In order to meet the power quality required by the international standards, a Space Vector Modulation (SVM) controlled three-level T-type inverter and a series LCL filter are used. To show the effectiveness of the proposed grid-connected system, Matlab/Simulink software is used to carry out the simulation part. Obtained results show the role of each component, particularly the response of the maximum power tracking, the quality of the injected power, the unity power factor operation and the system’s efficiency.</text>
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                <text>Copyright (c) 2018 Yacine  AYACHI AMOR, Frid HAMOUDI, Aissa  KHELDOUN</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 3 No. 3 (2018); 96-105</text>
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                <text>Three-phase Three-level Inverter Grid-tied PV System with Fuzzy Logic Control based MPPT</text>
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                <text>BELAIDI, Hadjira</text>
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                <text>A humanoid robot is now a reality, which has been very developed. It can do almost all tasks that either the human can do or not as well as the dangerous tasks. The researchers recently develop robots, which can see, smell, smile, speak, touch, walk and talk using the more advanced technological tools such as computer aided design. However, these humanoid robots cannot react as human, so what is missing?, what is about the spirit? Does robot have the spirit? This paper answers these questions and presents imperfection of humanoid robot.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/63</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>Copyright (c) 2018 Hadjira  BELAIDI, Hamid BENTARZI</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 3 No. 2 (2018); 89-95</text>
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                <text>2676-1548</text>
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                <text>2543-3792</text>
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                <text>Humanoid robot specifications</text>
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                <text>different robot platforms</text>
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                <text>graphic robot design</text>
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                <text>humanoid robot limitations</text>
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                <text>Humanoid Robot, What is missing?</text>
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                <text>Benmansour, J. E</text>
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                <text>Khouane, B.</text>
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                <text>Rima, R.</text>
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                <text>The aim of this paper is to realize high-precision attitude stabilization for roll/yaw axes of flexible communication satellite while attenuate the effects of the elastic vibrations and multiple disturbances such as solar radiation and model uncertainties. a composite control has been designed which is comprise two part an anti-disturbance proportional-derivative (PD) controller is designed to stabilize the attitude while rejecting the effects of flexible vibrations, environmental disturbances, and unmodelled dynamics, whose are assumed as an extended state. This controller comprises two parts, i.e. an extended state observer and a PD controller with feedforward. First, flexible vibrations, environmental disturbances and unmodelled dynamics are regarded as an extended state, which can be estimated by the proposed observer. The estimated extended state can be compensated by feedforward where the attitude can be stabilized by the PD controller. Numerical simulation results are presented to demonstrate the effectiveness of the control scheme.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/62</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>Copyright (c) 2018 J. E  Benmansour, B.  Khouane, R.  Rima</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 3 No. 2 (2018); 81-88</text>
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                <text>2676-1548</text>
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                <text>Flexible spacecraft</text>
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                <text>Attitude stabilization</text>
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                <text>Proportional Derivative</text>
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                <text>High Precision Roll/Yaw Attitude Stabilization for Flexible communication satellite</text>
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