Daoud Berkani

Polytechnic School of Algiers

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A. Guessoum

University of Blida

A. Maddi

University of Blida

Madjid Arezki

University of Blida

Ahmed Benallal

University of Blida

Ali Khenchaf

Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance

Mourad Abbas

Centre de Recherche sur l'Information Scientifique et Technique

Naima Amrouche

École nationale supérieure de techniques avancées Bretagne

Abderrezak Guessoum

University of Blida

Ahmed Sahnoune

Centre Universitaire Tissemsilt

Mohamed Djendi

University of Blida

Cooperative Institutions

Polytechnic School of Algiers

University of Blida

Centre National de la Recherche Scientifique

École Normale Supérieure - PSL

Research Center in Industrial Technologies

Centre de Recherche sur l'Information Scientifique et Technique

Département d'Informatique

University of Westminster

Wayne State University

University of Algiers Benyoucef Benkhedda

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Comparative study between EKF and Geometrical methods for the Acoustic Emission source localization

Procedia Computer Science (2019)

El yamine Dris Redouane Drai Mourad Bentahar Daoud Berkani Abdessalem Benammar

The purpose of this paper is to optimize and apply probabilistic methods and compare the obtained results to geometric method for locating acoustic emission (AE) source in a plate-like structure. The time of arrival (TOA) of the AE waves in each sensor taking into account the uncertainties, was determined by the continuous wavelet transform (CWT). Then the group wave's velocity was calculated by Monte Carlo simulation. As a probabilistic method, the extended Kalman filter (EKF) is used to iteratively estimate the location of AE sources. Experimental results have shown that the probabilistic method estimates the location of the pencil lead break better than the geometric method. Experimental tests were performed on a copper plate to validate the comparison of the two approaches performances.

Time of arrival

Acoustic Emission

10.1016/j.procs.2019.01.056

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Citations (4)

TR-Classifier and kNN Evaluation for Topic Identification tasks

HAL (Le Centre pour la Communication Scientifique Directe) (2010)

Mourad Abbas Kamel Smaı̈li Daoud Berkani

This paper focuses on studying topic identification for Arabic language by using two methods. The first method is the well-known kNN (k Nearest Neighbors) which is used as baseline. The second one is the TR-Classifier, mainly based on computing triggers. The experiments show that TR-Classifier has the advantage to give best performances compared to kNN, by using much reduced sizes of Topic Vocabularies. TR-Classifier performance is enhanced by increasing jointly the number of triggers and the size of topic vocabularies. It should be noted that topic vocabularies are used by the TR-Classifier. Whereas, a general vocabulary is needed for kNN, and it is obtained by the concatenation of those used by the TR-Classifier. In addition to the standard measures Recall and Precision used for the evaluation step, we have drawn ROC curves for some topics to illustrate more clearly the difference in performance between the two classifiers. The corpus used in our experiments is downloaded from an online Arabic newspaper. Its size is about 10 millions words, distributed over six selected topics, in this case: culture, religion, economy, local news, international news and sports.

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APPLICATION OF HYBRID WAVELET-FRACTAL COMPRESSION ALGORITHM FORRADIOGRAPHIC IMAGES OF WELD DEFECTS

International Journal of New Computer Architectures and their Applications (2011)

Faiza Mekhalfa Daoud Berkani

Based on the standard fractal transformation in spatial domain, simple relations may be found relating coefficients in detail subbands in the wavelet domain. In this work we evaluate a hybrid wavelet-fractal image coder, and we test its ability to compress radiographic images of weld defects. A comparative study between the hybrid coder and standard fractal compression technique have been made in order to investigate the compression ratio and corresponding quality of the image using peak signal to noise ratio. Numerical experiments using radiographic images of weld defects illustrate the superior performance of the hybrid coder compared to standard fractal algorithm.

Fractal compression

Fractal transform

Source

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Citations (1)

IMPROVEMENT OF THE SIMPLIFIED FTF-TYPE ALGORITHM

Madjid Arezki Ahmed Benallal Abderezak Guessoum Daoud Berkani

10.5220/0001940001560161

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Using Linear Quadratic Gaussian Optimal Control for Lateral Motion of Aircraft

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering (2009)

A. Maddi A. Guessoum Daoud Berkani

10.5281/zenodo.1079436

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Citations (7)

Multi-Category Support Vector Machines for Identifying Arabic Topics

Mourad Abbas Kamel Smaı̈li Daoud Berkani

It is known that Support Vector Machines were designed for binary classification. Nevertless, it would be fruitful to extend this operation to what is called Multi-category classification. That is why, Multi-category Support Nector Machines (MSVM) become nowadays the current subject of several serious researches, aiming to achieve high levels of multi-category classification tasks. This technique has been assessed recently recently in some fields as text categorization, Cancer classification, etc. We should notify that experiments which have been realized until now using MSVM are limited to small data sets, since its computation is more expensive. In this paper, we are interested in the use of this method, for the first time in topic identification. The experiments conducted concern topic identification of Arabic language. The corpora are extracted from ALWATAN newspaper. Achieved results lead to an improvement of MSVM performance i comparison to the baseline SVM method. Nevertheless, SVM still outperforms MSVM when using larger sizes of the vocabulary.

Identification

Text Categorization

Binary classification

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Citations (4)

Parametric detection in non-stationary correlated clutter using a sequential approach

Digital Signal Processing (2014)

Toufik Boukaba Abdelhak M. Zoubir Daoud Berkani

10.1016/j.dsp.2014.10.003

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ASE analysis adaptive pilot symbol assisted modulation with imperfect CSI

Assia Hamidane Daoud Berkani Abderrahmane Anou

Adaptive modulation requires knowledge of channel state information (CSI) at the receiver by inserting pilot symbols in the transmitted signal. In This paper we focuses on the Adaptive Coded Modulation (ACM) system, where the data symbols and power allocation variable are optimized. The pilot spacing and power allocation are adaptively changed in an optimal way according to the conditions channel. We take into consideration the channel estimation error at the receiver and channel prediction error at the transmitter. The average spectral efficiency (ASE) performance of the suggested system is analyzed.

Channel state information

Spectral Efficiency

Link adaptation

Modulation (music)

10.1109/ceit.2015.7233095

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On the relation between chaotic processes generated by family of piecewise linear maps

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) (2022)

Ahmed Sahnoune Daoud Berkani

10.1109/ssd54932.2022.9955907

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A Lossless hybrid wavelet-fractal compression for welding radiographic images

Journal of X-Ray Science and Technology (2016)

Faiza Mekhalfa Kamran Avanaki Daoud Berkani

In this work a lossless wavelet-fractal image coder is proposed. The process starts by compressing and decompressing the original image using wavelet transformation and fractal coding algorithm. The decompressed image is removed from the original one to obtain a residual image which is coded by using Huffman algorithm. Simulation results show that with the proposed scheme, we achieve an infinite peak signal to noise ratio (PSNR) with higher compression ratio compared to typical lossless method. Moreover, the use of wavelet transform speeds up the fractal compression algorithm by reducing the size of the domain pool. The compression results of several welding radiographic images using the proposed scheme are evaluated quantitatively and compared with the results of Huffman coding algorithm.

Fractal transform

Fractal compression

Data compression ratio

Peak signal-to-noise ratio

Lossless JPEG

10.3233/xst-160531

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Citations (4)