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var str = 'Analysing Primary Signal Sensing Test in Cognitive Radio Networks Using an Alpha-Beta Filter and a Neyman-Pearson Detector';
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]]>
Alpha-Beta Filter]]>
Neyman–Pearson Detector]]>
Kalman filter]]>
Energy Detector]]>
The signal strength sensing in the context of cognitive radio networks (CRNs), is very important to predict the primary signal of base station (PBS), particularly when the secondary user (SU) is in a congested environment, and also when is in motion towards the end of coverage of PBS. However, this article presents an analysis on the prediction of primary signal strength in CRNs using an Alpha-Beta Filter (ABF) and a Neyman-Pearson Detector (NPD). The challenge of this contribution is based on a realistic sensing of primary signal strength and to do that, we have assumed that the reporting channels between the SU and the PBS are composited with the shadowing and multipath fading (SMF), and the receiver noise has also added. In this regard, the obtained results were discussed through: the signal-to-noise ratio (SNR) uncertainty, the detection probability (PD) and the False Alarm Probability (PFA), where the average relative error of prediction for the PD will be equal to10-5.]]>
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var str = 'Adardour, Haroun Errachid';
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]]>
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var str = 'Kameche, Samir';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 2 (2018); 70-80]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i2]]>
Laboratory of Signals and Systems, Algeria]]>
2018-06-15]]>
Copyright (c) 2018 Haroun Errachid Adardour, Samir Kameche]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/61/48]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/61]]>
10.51485/ajss.v3i2.61]]>
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var str = 'Impact of NBTI Stress on VDMOSFET Regions';
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]]>
VDMOSFET regions]]>
C-V]]>
NBTI]]>
In this paper, we investigate the impact of negative bias temperature instability (NBTI) degradation on both channel and drain regions, of commercial power double diffused MOS transistor (VDMOSFET), using capacitance-voltage method (C-V). We report that the degradation is important at channel (drain) region in p-channel VDMOSFET (n-channel VDMOSFET). That means that the phosphorus doped region (n-type) is more sensitive to NBTI stress.]]>
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var str = 'Merah, Sidi Mohammed';
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]]>
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var str = 'Nadji, Bouchra';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 2 (2018); 65-69]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i2]]>
Laboratory of Signals and Systems, Algeria]]>
2018-06-15]]>
Copyright (c) 2018 Sidi Mohammed Merah, Bouchra Nadji]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/60/47]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/60]]>
10.51485/ajss.v3i2.60]]>
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var str = 'Sensorless Speed and Reactive Power Control of a Double-Feed Induction Generator using Adaptive Observer in Wind Turbine Power Plant';
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]]>
Sensorless]]>
Vector Control]]>
Wind Turbine]]>
Doubly Fed Induction Generator]]>
Adaptive Observer]]>
This work presents a new method for the synthesis of a sensorless speed and reactive power control applied to a wind turbine system based to a Doubly Fed Induction Generator (DFIG). The proposed method based on adaptive observers: The rotor speed is adapted using adaptation mechanisms. Stability analysis based on Lyapunov theory is used to guarantee the stability of the observer. To verify the consistency of the proposed approach. We will be interested in the study of vector control based on the synthesis of classical controllers. Simulation results provided with the MATLAB/SIMULINK environment show the consistency of the proposed approaches.]]>
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var str = 'BOUMALHA, NOUREDDINE';
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]]>
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var str = 'KOUCHIH, DJILLALI';
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]]>
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var str = 'BOUCHERIT, MOHAMED SEGHIR';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 2 (2018); 54-64]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i2]]>
Laboratory of Signals and Systems, Algeria]]>
2018-06-15]]>
Copyright (c) 2018 NOUREDDINE BOUMALHA, DJILLALI KOUCHIH, MOHAMED SEGHIR BOUCHERIT]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/59/46]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/59]]>
10.51485/ajss.v3i2.59]]>
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var str = 'Multi-model system design using H∝ Multi-controllers for a robotic wrist';
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]]>
Modeling]]>
Manipulateur robot]]>
Hv Control]]>
multi-model approach]]>
simulation]]>
In this paper we present a novel approach of multi-model system design used multi-controllers of Hv control type applied to control robotic wrist. we have presented modeling of our system( nonlinear and linear model) follows by the principal of our approach of control. we have presented Hv control principal used for control nonlinear system and linear local models around each operating points choose . Different simulations are realized in matlab-simulink software improve efficiency of our approach. Finally we have presented conclusion and discussed of obtained results followed by some perspectives for future work.]]>
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var str = 'ZENNIR, Youcef';
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]]>
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var str = 'LARABI, Mohand Said';
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]]>
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var str = 'GUECH, Elhadi';
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]]>
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var str = 'REZIG, Salah Eddine';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 1 (2018); 44-53]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i1]]>
Laboratory of Signals and Systems, Algeria]]>
2018-03-15]]>
Copyright (c) 2018 Youcef ZENNIR, Mohand Said LARABI, Elhadi GUECH, Salah Eddine REZIG]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/58/45]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/58]]>
10.51485/ajss.v3i1.58]]>
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var str = 'Improvement of an Adaptive Threshold Technique for Fault Detection in a Cement Rotary Kiln';
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]]>
Fault detection]]>
adaptive threshold]]>
large sized multivariate data]]>
mean]]>
variance]]>
cement rotary kiln]]>
In this paper, we suggest to use a two-dimensional plot characterizing the statistical variability of a large-sized multivariate data. This graphical representation is based on the mean and variance values. The two statistical parameters plot is used to assess fault detection performances in a cement rotary kiln system. The adaptive threshold technique is shown to result in more accurate and reliable detection. The threshold is established through several repeated experiments under the healthy mode with the same operating conditions. An adequate statistical test is used to examine the validity of the adaptive threshold estimation approach. At each mean’s subinterval for all experiments, a confidence interval closely linked to the distribution frequencies of the variance as a random variable is obtained. In addition, several significance levels are considered to show the performances of the proposed adaptive thresholding technique compared to the limitations of the fixed threshold through the rate of false alarms. Two different experimental faults are considered to demonstrate the effectiveness and accuracy of the adaptive threshold in terms of no false alarms and negligibly small missed alarms in comparison to the fixed threshold technique.]]>
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var str = 'KOUADRI, Abdelmalek';
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]]>
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var str = 'Ikhlef, Boualem';
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]]>
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var str = 'Bensmail, Abderazak';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 1 (2018); 35-43]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i1]]>
Laboratory of Signals and Systems, Algeria]]>
2018-03-15]]>
Copyright (c) 2018 Abdelmalek KOUADRI, Boualem Ikhlef, Abderazak Bensmail]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/57/44]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/57]]>
10.51485/ajss.v3i1.57]]>
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var str = 'Optimal PSO- PIλDμ Multi -Controller for a Robotic Wrist';
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]]>
Robotics wrist]]>
Modeling]]>
PSO algorithm]]>
Approximation fractional order method]]>
PID]]>
PSO-PID]]>
FOPID]]>
PSO-FOPID]]>
Comparative study between to approach of control based in conventional PID controller and robust Fractional PID controller (FOPID) using PSO algorithm applied to control robotics wrist (Robot RX-90 Staübli). The mathematic model of robot are described follows by design of architecture control. two approximation method of fractional order are used and finally a different simulation study comparative between (PID, PSO-PID, FOPID and PSO-FOPID) with obtained results has been presented discussed and approved the efficiently of the architecture control with PSO-FOPID controller followed by a conclusion and some perspectives for future work.]]>
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var str = 'ZENNIR, Youcef';
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]]>
var options = {
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var str = 'MECHHOUD, El-Arkam';
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]]>
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var str = 'SEBOUI, Ahcene';
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]]>
var options = {
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var str = 'BENDIB, Riad';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 1 (2018); 22-34]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i1]]>
Laboratory of Signals and Systems, Algeria]]>
2018-03-15]]>
Copyright (c) 2018 Youcef ZENNIR, El-Arkam MECHHOUD, Ahcene SEBOUI, Riad BENDIB]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/56/43]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/56]]>
10.51485/ajss.v3i1.56]]>
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var str = 'Concentric Ring Arrays Optimization Using the Spiral Inspired Technique';
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]]>
Concentric ring arrays]]>
optimization]]>
the spiral optimization method]]>
sidelobe level]]>
directivity]]>
In this work, concentric ring Arrays (CRA) with non-uniform excitation are investigated, with the objective being to minimize the Sidelobe Level (SLL) for the array and keep the Directivity within an acceptable value. The optimization technique to be used to reach this objective is the spiral inspired optimization technique.. First, the technique is used to minimize the SLL only. Next the array factor is optimized for Directivity only. Then, the excitation is varied for both SLL and Directivity to be optimized. The results show significant improvements with respect to the uniform case, especially for SLL reduction, with different levels of success depending on the employed optimization technique, fitness function, varied parameters, and array size.]]>
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var str = 'RECIOUI, Abdelmadjid';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 1 (2018); 10-21]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i1]]>
Laboratory of Signals and Systems, Algeria]]>
2018-03-15]]>
Copyright (c) 2018 Abdelmadjid RECIOUI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/55/42]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/55]]>
10.51485/ajss.v3i1.55]]>
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var str = 'PLC-Based Safety Instrumented System of a Boiler using HAZOP';
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]]>
Safety instrumented system]]>
HZOP]]>
PLC]]>
HAZOP Analysis is used to determine great deviations which will affect the operational safety of a boiler of an existing petrochemical plant that may affect on persons, material and the environment. PLC is proposed to provide the safety function to fit into the overall machine control system as a safety-related part. It reads from the temperature, pressure sensors via its input interface modules and outputs commands in the case of critical deviation via the output module to the final control elements such as actuators allowing an improvement in the safety of the overall boiler system.]]>
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var str = 'CHAFAI, Mahfoud';
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]]>
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var str = 'OUADI, Abderrahmane';
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]]>
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var str = 'BENTARZI , Hamid';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 1 (2018); 1-9]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i1]]>
Laboratory of Signals and Systems, Algeria]]>
2018-03-15]]>
Copyright (c) 2018 Mahfoud CHAFAI, Abderrahmane OUADI, Hamid BENTARZI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/53/41]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/53]]>
10.51485/ajss.v3i1.53]]>
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};
var str = 'Rotor Speed and Flux Estimation of a Doubly-fed Induction Machine Using Extended Kalman Filter';
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]]>
Doubly-fed induction machine]]>
dq-reference model]]>
state estimation]]>
Kalman filter]]>
This paper uses Extended Kalman Filtering method (EKF) to estimate the rotor speed and flux of a Doubly-fed Induction Generator (DFIG) to be used in Wind Turbines (WTs). DFIGs are widely used in WTs because they can generate an electric power of constant voltage amplitude and frequency which allow a direct connection between the WTs and the ac power network. A DFIG modeling in the (dq) reference frame is presented and a brief description of EKF algorithm is described to estimate the rotor speed and flux. Simulations results are shown and discussed.]]>
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var str = 'Boussoufa, Ahmad';
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]]>
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var str = 'Kidouche, Madjid';
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]]>
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var str = 'Ahriche, Aimad';
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]]>
Algerian Journal of Signals and Systems ; Vol. 2 No. 4 (2017); 266- 273]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i4]]>
Laboratory of Signals and Systems, Algeria]]>
2017-12-15]]>
Copyright (c) 2017 Ahmad Boussoufa, Madjid Kidouche, Aimad Ahriche]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/52/40]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/52]]>
10.51485/ajss.v2i4.52]]>
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var str = 'Automated depandability analysis of the HDPE Reactor using D-higraphs HAZOP assistant';
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]]>
Risk assessment]]>
HAZOP]]>
D-higraph]]>
DHA]]>
HDPE]]>
In this paper we present a HAZOP Assistant based on D-higraphs and dedicated to a functional modeling technique that gathers functional and structural information of the process under study. This work is applied to the study of an industrial case - High Density Polyethylene reactor part of the CP2K plant situated in the petrochemical platform of Skikda- and its results are compared with the conventional HAZOP study and SADT method.]]>
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var str = 'MECHHOUD, El-Arkam';
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]]>
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var str = 'RODRIGUEZ, Manuel';
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var str = 'ZENNIR, Youcef';
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]]>
Algerian Journal of Signals and Systems ; Vol. 2 No. 4 (2017); 255-265]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i4]]>
Laboratory of Signals and Systems, Algeria]]>
2017-12-15]]>
Copyright (c) 2017 El-Arkam MECHHOUD, Manuel RODRIGUEZ, Youcef ZENNIR]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/51/39]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/51]]>
10.51485/ajss.v2i4.51]]>