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var str = 'Performance comparison of some censoring CA-based CFAR processors in heterogeneous environments';
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]]>
Adaptive CFAR detection]]>
Automatic censoring]]>
heterogeneous environments]]>
Probability of detection]]>
Probability of false alarm]]>
Performance comparison of automatic censoring CA-based CFAR processors contribute to the development of more efficient censoring detectors. In this paper, the authors analyze the performance of the detection schemes which named: ACCA-odv- (Automatic Censored Cell Averaging -ordered data variability-), ADCCA- (Automatic Dual Censoring Cell Averaging-), ACGCA- (Automatic Censoring Greatest Cell Averaging-), and GGDC- (Goodness-of-fit Generalized likelihood test with Dual Censoring-)-CFAR's in heterogeneous environments. The assumed environments are represented by three situations: first, the homogeneous situation, second, the presence of interfering targets, and the third case is allowed to the presence of clutter edges. The obtained results, under the assumption of a Gaussian clutter and a mono pulse processing, show that most of the studied detectors perform well in a specific conditions and there is a need to further developments to ensure the required performances for recent target detection application.]]>
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var str = 'ZATTOUTA, B.';
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]]>
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var str = 'MESSIKH, L.';
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]]>
Algerian Journal of Signals and Systems ; Vol. 2 No. 1 (2017); 31- 39]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i1]]>
Laboratory of Signals and Systems, Algeria]]>
2017-03-15]]>
Copyright (c) 2017 B. ZATTOUTA, L. MESSIKH]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/30/18]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/30]]>
10.51485/ajss.v2i1.30]]>
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var str = 'Minimum time control of a two DOF robotic arm with noised measurements';
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]]>
Robotic arm]]>
Minimum time control]]>
Non-linear control]]>
Kalman-Luenberger observer]]>
This paper presents a new approach for minimum time control dynamics of a two links manipulator robot in the case of noised outputs. Briefly, this technique consists of linearizing a nonlinear dynamic model of the robot by using a feedback linearization control. Once, the linear model has been obtained, a minimum time control with constraints, using the Pontryagin Minimum Principle will be developed. Here, the objective is to control the arm robot from an initial configuration to the final configuration in minimum time. The state variables are estimated by a Kalman-Luenberger observer. In order to show the efficiency of the proposed method, some simulation results are given.]]>
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var str = 'Guechi, El-H.';
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var str = 'Zennir , Y.';
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var str = 'Messikh, L.';
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]]>
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var str = 'Benloucif , M-L.';
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]]>
Algerian Journal of Signals and Systems ; Vol. 2 No. 1 (2017); 21- 30]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i1]]>
Laboratory of Signals and Systems, Algeria]]>
2017-03-15]]>
Copyright (c) 2017 El-H. Guechi, Y. Zennir , L. Messikh, M-L. Benloucif]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/29/17]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/29]]>
10.51485/ajss.v2i1.29]]>
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var str = 'Analysis Study of Radar Probability of Detection for Fluctuating and Non-fluctuating Targets';
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]]>
Radar signal processing]]>
radar detection]]>
probability of detection]]>
probability of false alarm]]>
Swerling target model]]>
The radar analyst can develop and use mathematical and statistical techniques that lead to accurate prediction or adapting models for estimating the target detection performance. In radar detection theory, detection probability, false alarm probability, number of samples non-coherently integrated for a detection test, and signal-to-noise ratio (SNR) are closely interrelated. The present paper is intended to provide an overview of the calculations of radar probability of detection and its related parameters. The main methods and procedures for predicting the detection performance of either non-fluctuating or fluctuating targets are described. Performance’s analysis of the studied models is included, along with some graphical simulation examples.]]>
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var str = 'AOUNALLAH, Naceur';
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var str = 'KHALFA, Ali';
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]]>
Algerian Journal of Signals and Systems ; Vol. 2 No. 1 (2017); 12-20]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i1]]>
Laboratory of Signals and Systems, Algeria]]>
2017-03-15]]>
Copyright (c) 2017 Naceur AOUNALLAH, Ali KHALFA]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/28/16]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/28]]>
10.51485/ajss.v2i1.28]]>
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var str = 'Quality of energy resulting from association converter- machine for the electric drive of a system of wind generation';
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]]>
Quality of energy]]>
Wind energy]]>
doubly fed induction generator]]>
Buck to buck converter]]>
Pulse width modulation]]>
PWM]]>
The work presented in this paper concerns, the quality of energy negated with wind power system, we were interested initially to impact of the choice of the type of PWM control of the converters on the output quality of energy and we were interested to the feeding and controls of doubly fed induction generator (DFIG) and the contribution which it will be able to carry its application in a wind chain conversion. The modeling of DFIG was presented, thus we applied the vector control in active and reactive generator power. Then we are interested in cascades based on a DFIG and back-to-back converter. The results obtained with simulation allowed the performance evaluation of the application of the asynchronous machine double power supply in the wind field.]]>
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var str = 'Aggoun, Ghania';
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]]>
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var str = 'Boubouzel, Naima';
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]]>
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var str = 'Kachenoura, Rahma';
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var str = 'Fellag, Sid Ali';
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]]>
Algerian Journal of Signals and Systems ; Vol. 2 No. 1 (2017); 1- 11]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i1]]>
Laboratory of Signals and Systems, Algeria]]>
2017-03-15]]>
Copyright (c) 2017 Ghania Aggoun, Naima Boubouzel, Rahma Kachenoura, Sid Ali Fellag]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/27/15]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/27]]>
10.51485/ajss.v2i1.27]]>
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var str = 'A New Model of Numerical MHO Distance Relay Associated with Power Swing Detector';
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]]>
Mho distance protection]]>
Power swing]]>
Dual-quadrilateral characteristic]]>
Labbview]]>
myDaQ board NI USB-6009]]>
In conventional transmission line protection, a distance relay is used to provide the primary as well as backup protection. The voltage and current phasors measurement needed by the distance relay for determining the impedance may be affected by the power disturbances such as power swing. Consequently, this power swing may cause mal-operation of Zone three distance relays which in turn may affect on the reliability of the whole protective scheme. Many power swing blocking functions (PSB) have been developed to mitigate these effects. In this paper, a new model of Mho distance relay with dual-quadrilateral power swing detection characteristic has been developed and implemented first in PC using LabVIEW, then tested using Power System Simulink Model under different faults and power swing conditions. Finally, the relay prototype has been realized using acquisition card NI USB-6009, which acquires real-time signals of the currents and the voltages, processes them digitally and outputs tripping or blocking signal to the circuit breaker. The obtained results show that the relay provides good discrimination between a fault and power swing condition.]]>
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var str = 'MATI, Ayache';
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]]>
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var str = 'BOUSAADIA, Baadji';
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var str = 'BENTARZI, Hamid';
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]]>
Algerian Journal of Signals and Systems ; Vol. 1 No. 2 (2016); 121-128]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v1i2]]>
Laboratory of Signals and Systems, Algeria]]>
2016-12-15]]>
Copyright (c) 2016 Ayache MATI, Baadji BOUSAADIA, Hamid BENTARZI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/26/14]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/26]]>
10.51485/ajss.v1i2.26]]>
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var str = 'Rectangular Antenna Array Optimization using Wind Driven Optimization';
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]]>
Rectangular antenna arrays]]>
wind driven optimization]]>
sidelobe level]]>
directivity]]>
Antenna arrays are considered as important type used today for long distance communication with a very high gain. The design of such antenna depends on parameters and desired behavior performing the task, this project handle the application of a new type of nature-inspired global optimization methodology in the design of an optimized planar antenna array which ensures minimum side lobes and high directivity, this new optimization method is based on the atmospheric motion and it is known as Wind Driven Optimization (WDO) a population based iterative heuristic global optimization algorithm technique for multi-dimensional and multi-modal problems with the potential to implement constraints on the search domain. The optimal values obtained results in a good suppression of the side lobe level for the different antenna configurations with several sorts of excitation: Amplitude only, phase only, both amplitude and phase. Besides, the directivity is not worse than that of the uniform one.]]>
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var str = 'Recioui, Abdelmadjid';
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var str = 'Benabid, Mondher';
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]]>
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var str = 'Djilani, Nabil';
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]]>
Algerian Journal of Signals and Systems ; Vol. 1 No. 2 (2016); 109-120]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v1i2]]>
Laboratory of Signals and Systems, Algeria]]>
2016-12-15]]>
Copyright (c) 2016 Abdelmadjid Recioui, Mondher Benabid, Nabil Djilani]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/25/13]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/25]]>
10.51485/ajss.v1i2.25]]>
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var str = 'Visual Analysis and Recognition of Crowd Behavior by Principal Component Analysis';
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]]>
Visual analysis]]>
crowd behavior]]>
matrices of covariance]]>
intelligent video surveillance]]>
anomaly]]>
The analysis of the human behavior from video is a wide field of the vision by computer. In this work, we are presenting mainly a new approach and method of detects behavior or abnormal events continuous of crowd in the case of the dangerous situations. These scenes are characterized by the presence of a great number of people in the camera’s field of vision. A major problem is the development of an autonomous approach for the management of a great number of anomalies which is almost impossible to carry out by operators. We present in this paper an approach for the anomalies detection, the visual sequences of the video are detected like behavior normal or abnormal based on the measurement and the extraction of the points by the optical flow, then calculations of the distance between the matrices of covariance of the distributions of the vectors of movement calculated on the consecutive reinforcements.]]>
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var str = 'Chebi, Hocine';
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var str = 'Acheli, Dalila';
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var options = {
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var str = 'Kesraoui, Mohamed';
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]]>
Algerian Journal of Signals and Systems ; Vol. 1 No. 2 (2016); 99-108]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v1i2]]>
Laboratory of Signals and Systems, Algeria]]>
2021-02-02]]>
Copyright (c) 2016 Hocine Chebi, Dalila Acheli, Mohamed Kesraoui]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/24/12]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/24]]>
10.51485/ajss.v1i2.24]]>
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var str = 'A comparatives study of steganography and steganalysis tools';
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]]>
steganography]]>
steganalysis]]>
StegHide]]>
OurSecret]]>
StegSecret]]>
StegSpy]]>
Hidden Data Detector]]>
Steganography is one of the oldest methods of secure communication. It was an art at the beginning, now became a science. It aims to conceal secret messages or data inside an innocent cover. Steganalysis is the science that can detect and extract hidden data. Many steganography and steganalysis tools exist, a lot of them are free which makes it easy for anyone to use these tools. In this paper, a comparative study will be done between two widely used steganography tools (StegHide and OurSecret) and between three steganalysis tools StegSpy, StegSecret and Hidden data detector.]]>
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var str = 'Leila, BENAROUS';
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]]>
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var str = 'Mohamed, DJOUDI';
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]]>
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var str = 'Ahmed, BOURIDANE';
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]]>
Algerian Journal of Signals and Systems ; Vol. 1 No. 2 (2016); 92-98]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v1i2]]>
Laboratory of Signals and Systems, Algeria]]>
2016-12-15]]>
Copyright (c) 2016 BENAROUS Leila, DJOUDI Mohamed, BOURIDANE Ahmed]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/23/11]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/23]]>
10.51485/ajss.v1i2.23]]>
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};
var str = 'Describing the steganalysis tool: BBD15 “OurSecret detector”';
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]]>
steganography]]>
steganalysis]]>
images]]>
videos]]>
OurSecret]]>
detect]]>
BBD15]]>
Digital steganography is the art of hiding secret messages and data in innocent cover, most likely in images and videos. Images and videos offer the best cover files for steganography with their high capacity, by being innocent and for being easily exchanged without raising the suspicions of a third party. A lot are the free tools that embeds data in images and videos, among which is OurSecret. In this paper we aim to detect the stego images and videos created by OurSecret by developing a steganalysis tool BBD15.]]>
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};
var str = 'Leila, BENAROUS';
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]]>
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var str = 'Mohamed, DJOUDI';
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]]>
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var str = 'Ahmed, BOURIDANE';
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]]>
Algerian Journal of Signals and Systems ; Vol. 1 No. 2 (2016); 88-91]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v1i2]]>
Laboratory of Signals and Systems, Algeria]]>
2016-12-15]]>
Copyright (c) 2016 BENAROUS Leila, DJOUDI Mohamed, BOURIDANE Ahmed]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/22/10]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/22]]>
10.51485/ajss.v1i2.22]]>
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var str = 'Fast Ensemble Empirical Mode Decomposition Using the Savitzky Golay filter';
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]]>
EMD]]>
EEMD]]>
Mode mixing]]>
Savitzky-Golay filter]]>
Empirical mode decomposition (EMD) is a powerful algorithm proposed to analysis of nonlinear and non-stationary signals. The phenomenon of mode mixing is one of the major disadvantages of the EMD. The Ensemble EMD (EEMD) was introduced to eliminate the mode-mixing effect. The principle of EEMD is to add additional white noise into the signal with many trials. The noise in each trial is different; and the added noise can be completely cancelled out on average, if the number of trials is very high. The number of trials is a high computational load. The improvement on computational efficiency of EEMD is therefore required. In this paper, an improvement on the computing time of the EEMD was proposed by replacing white noise with white noise filtered using Savitzky-Golay (SG) filter. Numerical simulations were performed to demonstrate that such replacement has effectively reduced the number of trials to obtain a noise-free reconstructed signal.]]>
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var str = 'MOHGUEN, WAHIBA';
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]]>
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var str = 'BEKKA, RAÏS EL’HADI';
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]]>
Algerian Journal of Signals and Systems ; Vol. 1 No. 1 (2016); 79-86]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v1i1]]>
Laboratory of Signals and Systems, Algeria]]>
2016-06-15]]>
Copyright (c) 2016 WAHIBA MOHGUEN, RAÏS EL’HADI BEKKA]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/21/9]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/21]]>
10.51485/ajss.v1i1.21]]>