Proceedings of the New Challenges in Data Sciences: Acts of the Second Conference of the Moroccan Classification Society
This paper addresses the problem radio mobile channel identification and equalization by blind al... more This paper addresses the problem radio mobile channel identification and equalization by blind algorithms. For this, we have proposed two algorithms, which are compared with: cumulants based algorithms, and adaptive filter algorithms (such us the constant modulus algorithm (CMA), Fractional Space CMA (FSCMA) and Sign Kurtosis Maximization Adaptive Algorithm (SKMAA)). However, The simulation results in noisy environment and for different SNR values with QPSK or 4QAM modulation shows that the proposed algorithms gives a good identification and equalization versus to the cumulants and the adaptive filter algorithms, for radio mobile channel.
Research Anthology on Medical Informatics in Breast and Cervical Cancer
This chapter explores diagnosis of the breast tissues as normal, benign, or malignant in digital ... more This chapter explores diagnosis of the breast tissues as normal, benign, or malignant in digital mammography, using computer-aided diagnosis (CAD). System for the early diagnosis of breast cancer can be used to assist radiologists in mammographic mass detection and classification. This chapter presents an evaluation about performance of extracted features, using gray-level co-occurrence matrix applied to all detailed coefficients. The nonsubsampled contourlet transform (NSCT) of the region of interest (ROI) of a mammogram were used to be decomposed in several levels. Detecting masses is more difficult than detecting microcalcifications due to the similarity between masses and background tissue such as F) fatty, G) fatty-glandular, and D) dense-glandular. To evaluate the system of classification in which k-nearest neighbors (KNN) and support vector machine (SVM) used the accuracy for classifying the mammograms of MIAS database between normal and abnormal. The accuracy measures throug...
Proceedings of the 3rd International Conference on Networking, Information Systems & Security
In the present digital world, users have to access multiple applications for carrying out their d... more In the present digital world, users have to access multiple applications for carrying out their day-to-day business activities. As the amount of apps increase, the number of credentials (e.g. username/password) for each user increases and thereby the possibility of losing or forgetting them also increases. Single Sign-On (SSO) can be used to solve many problems related to web user authentication. OAuth-based SSO Systems are widely deployed by big tech companies such as Facebook and Google. In this paper we provide an in-depth review analysis of OAuth-based SSO systems security issues. In fact, previous efforts have been aimed either at finding errors in specific implementations, or at finding security problems within the specification itself. The main paper contribution is twofold: (1) describe in detail the OAuth 2.0 authorization flows and summarize the differences between the flows of each scenario that affect the security of the OAuth 2.0 protocol, and (2) examine the security problems related to the OAuth 2.0 specification and its implementation in the Web environment.
In this paper, a fifth order propagator operators are proposed for estimating the Angles Of Arriv... more In this paper, a fifth order propagator operators are proposed for estimating the Angles Of Arrival (AOA) of narrowband electromagnetic waves impinging on antenna array when its number of sensors is larger than the number of radiating sources. The array response matrix is partitioned into five linearly dependent phases to construct the noise projector using five different propagators from non diagonal blocks of the spectral matrice of the received data; hence, five different estimators are proposed to estimate the angles of the sources. The simulation results proved the performance of the proposed estimators in the presence of white noise comparatively to high resolution eigen based spectra.
This paper describes a blind algorithm, which is<br> compared with two another algorithms p... more This paper describes a blind algorithm, which is<br> compared with two another algorithms proposed in the literature,<br> for estimating of the minimum phase channel parameters. In order to<br> identify blindly the impulse response of these channels, we have used<br> Higher Order Statistics (HOS) to build our algorithm. The simulation<br> results in noisy environment, demonstrate that the proposed method<br> could estimate the phase and magnitude with high accuracy of these<br> channels blindly and without any information about the input, except<br> that the input excitation is identically and independent distribute<br> (i.i.d) and non-Gaussian.
In this paper we propose an algorithm based on<br> higher order cumulants, for blind impuls... more In this paper we propose an algorithm based on<br> higher order cumulants, for blind impulse response identification<br> of frequency radio channels and downlink (MC−CDMA) system<br> Equalization. In order to test its efficiency, we have compared with<br> another algorithm proposed in the literature, for that we considered<br> on theoretical channel as the Proakis's 'B' channel and practical<br> frequency selective fading channel, called Broadband Radio Access<br> Network (BRAN C), normalized for (MC−CDMA) systems, excited<br> by non-Gaussian sequences. In the part of (MC−CDMA), we use the<br> Minimum Mean Square Error (MMSE) equalizer after the channel<br> identification to correct the channel's distortion. The simulation<br> results, in noisy environment and for different signal to noise ratio<br> (SNR), are presented to illustrate the accuracy of the proposed<br> algorithm.
In this paper, we investigated the effect of real valued transformation of the spectral matrix of... more In this paper, we investigated the effect of real valued transformation of the spectral matrix of the received data for Angles Of Arrival estimation problem. Indeed, the Unitary transformation of Partial Propagator (UPP) for narrowband sources is proposed and applied on Uniform Linear Array (ULA). Monte Carlo simulation proved the performance of the UPP spectrum comparatively with: Forward Backward Propagator Method (FBPM), Unitary Propagator Method (UPM), Partial Propagator(PPM) and Cramer Rao Bound(CRB). In the second part, the results demonstrates that when some of the sources are fully correlated and closer than the Rayleigh angular limit resolution of the broadside array, the UPP method outperforms the FBPM in both of spatial resolution and complexity
This paper describes a blind algorithm, which is compared to the Zhang's and Safi's algor... more This paper describes a blind algorithm, which is compared to the Zhang's and Safi's algorithms, for estimating of the minimum phase channel parameters. In order to identify blindly the impulse response of these channels, we have used Higher Order Statistics (HOS) to build our algorithm. The simulation results in noisy environment, demonstrate that the proposed method could estimate the phase and magnitude with high accuracy of these channels blindly and without any information about the input, except that the input excitation is identically and independent distribute (i.i.d) and non-Gaussian.
Journal of telecommunications and information technology, 2014
In this paper, a comparative study between a blind algorithm, based on higher order cumulants, an... more In this paper, a comparative study between a blind algorithm, based on higher order cumulants, and adaptive algorithms, i.e. Recursive Least Squares (RLS) and Least Mean Squares (LMS) for MultiCarrier Code Division Multiple Access (MC-CDMA) systems equalization is presented. Two practical frequency-selective fading channels, called Broadband Radio Access Network (BRAN A, BRAN B) normalized for MC-CDMA systems are considered. In the part of MC-CDMA equalization, the Zero Forcing (ZF) and the Minimum Mean Square Error (MMSE) equalizer techniques were used. The simulation results in noisy environment and for different signal to noise ratio (SNR) demonstrate that the blind algorithm gives approximately the same results obtained by adaptive algorithms. However, the proposed algorithm presents the advantage to estimate the impulse response of these channels blindly except that the input excitation is non-Gaussian, with the low calculation cost, compared with the adaptive algorithms exploi...
Nowadays, the kernel methods are increasingly developed, they are a significant source of advance... more Nowadays, the kernel methods are increasingly developed, they are a significant source of advances, not only in terms of computational cost but also in terms of the obtained efficiencies in solving complex tasks, they are founded on the theory of reproducing kernel Hilbert spaces (RKHS). In this paper, we propose an algorithm for recursive identification of finite impulse response (FIR) nonlinear systems, whose outputs are detected by binary value sensors. This algorithm is based on a nonlinear transformation of the data using a kernel function. This transformation performs a basic change that allows the data to be projected into a new space where the relationships between the variables are linear. To test the accuracy of the proposed algorithm, we have compared it with another algorithm proposed in the literature, for that, we employ the practical frequency selective fading channel, called Broadband Radio Access Network (BRAN). Monte Carlo simulation results, in noisy environment a...
Journal of Telecommunications and Information Technology, 2018
The resolution of a Direction of Arrival (DOA) estimation algorithm is determined based on its ca... more The resolution of a Direction of Arrival (DOA) estimation algorithm is determined based on its capability to resolve two closely spaced signals. In this paper, authors present and discuss the minimum number of array elements needed for the resolution of nearby sources in several DOA estimation methods. In the real world, the informative signals are corrupted by Additive White Gaussian Noise (AWGN). Thus, a higher signal-to-noise ratio (SNR) offers a better resolution. Therefore, we show the performance of each method by applying the algorithms in different noise level environments.
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 2013
The modern telecommunication systems require very high transmission rates, in this context, the p... more The modern telecommunication systems require very high transmission rates, in this context, the problem of channels identification is a challenge major. The use of blind techniques is a great interest to have the best compromise between a suitable bit rate and quality of the information retrieved. In this paper, we are interested to learn the algorithms for blind channel identification. We propose a hybrid method that performs a trade-off between two existing methods in order to improve the channel estimation.
International Journal of Informatics and Communication Technology (IJ-ICT), 2017
In this paper, we present an automatic application of 3D face recognition system using geodesic d... more In this paper, we present an automatic application of 3D face recognition system using geodesic distance in Riemannian geometry. We consider, in this approach, the three dimensional face images as residing in Riemannian manifold and we compute the geodesic distance using the Jacobi iterations as a solution of the Eikonal equation. The problem of solving the Eikonal equation, unstructured simplified meshes of 3D face surface, such as tetrahedral and triangles are important for accurately modeling material interfaces and curved domains, which are approximations to curved surfaces in R<sup>3</sup>. In the classifying steps, we use: Neural Networks (NN), K-Nearest Neighbor (KNN) and Support Vector Machines (SVM). To test this method and evaluate its performance, a simulation series of experiments were performed on 3D Shape REtrieval Contest 2008 database (SHREC2008).<strong></strong>
The aim of this research is to develop a non-linear blind estimator able to represents a Broadban... more The aim of this research is to develop a non-linear blind estimator able to represents a Broadband Radio Access Networks (BRAN) channels. In the one hand, we have used Higher Order Statistics (HOS) theory to build our algorithm. Indeed, we develop a non-linear method based only on fourth order cumulants for identifying the diagonal parameters of quadratic systems. In the other hand, the developed approach is applied to estimate the experimental channels, BRAN A, C and E data normalized for MC-CDMA, in non-linear case. However, the estimated data will be used in the blind equalization. The simulation results in noisy environment and for different signal to noise ratio (SNR) show the accuracy of develop estimator blindly (i.e., without any information about the input) with non-Gaussian signal input. Furthermore, in part of blind equalization problem the obtained results, using Zero forcing (ZF) and Minimum Mean Square Error (MMSE) equalizers, demonstrate that the proposed algorithm is...
Indonesian Journal of Electrical Engineering and Computer Science, 2016
The aim of this paper is to contribute to study the problems of the blind identification and equa... more The aim of this paper is to contribute to study the problems of the blind identification and equalization using Higher Order Cumulants (HOC) in downlink Multi-Carrier Code Division Multiple Access (MC-CDMA) systems. For this problem, two blind algorithms based on HOC for Broadband Radio Access Network (BRAN) channel are proposed. In the one hand, to assess the performance of these approaches to identify the parameters of non minimum phase channels, we have considered two theoretical channels, and one practical frequency selective fading channel called BRAN C, driven by non gaussian signal. In the other hand, we use the Minimum Mean Square Error (MMSE) equalizer technique after the channel identification to correct the channel distortion. Theoretical analysis and numerical simulation results, in noisy environment and for different signal to noise ratio (SNR), are presented to illustrate the performance of the proposed methods.
In this paper, the standard Kalman filter was implemented to denoise the three dimensional signal... more In this paper, the standard Kalman filter was implemented to denoise the three dimensional signals affected by additive white Gaussian noise (AWGN), we used fast algorithm based on Laplacian operator to measure the noise variance and a fast median filter to predict the state variable. The Kalman algorithm is modeled by adjusting its parameters for better performance in both filtering and in reducing the computational load while conserving the information contained in the signal
Proceedings of the New Challenges in Data Sciences: Acts of the Second Conference of the Moroccan Classification Society
This paper addresses the problem radio mobile channel identification and equalization by blind al... more This paper addresses the problem radio mobile channel identification and equalization by blind algorithms. For this, we have proposed two algorithms, which are compared with: cumulants based algorithms, and adaptive filter algorithms (such us the constant modulus algorithm (CMA), Fractional Space CMA (FSCMA) and Sign Kurtosis Maximization Adaptive Algorithm (SKMAA)). However, The simulation results in noisy environment and for different SNR values with QPSK or 4QAM modulation shows that the proposed algorithms gives a good identification and equalization versus to the cumulants and the adaptive filter algorithms, for radio mobile channel.
Research Anthology on Medical Informatics in Breast and Cervical Cancer
This chapter explores diagnosis of the breast tissues as normal, benign, or malignant in digital ... more This chapter explores diagnosis of the breast tissues as normal, benign, or malignant in digital mammography, using computer-aided diagnosis (CAD). System for the early diagnosis of breast cancer can be used to assist radiologists in mammographic mass detection and classification. This chapter presents an evaluation about performance of extracted features, using gray-level co-occurrence matrix applied to all detailed coefficients. The nonsubsampled contourlet transform (NSCT) of the region of interest (ROI) of a mammogram were used to be decomposed in several levels. Detecting masses is more difficult than detecting microcalcifications due to the similarity between masses and background tissue such as F) fatty, G) fatty-glandular, and D) dense-glandular. To evaluate the system of classification in which k-nearest neighbors (KNN) and support vector machine (SVM) used the accuracy for classifying the mammograms of MIAS database between normal and abnormal. The accuracy measures throug...
Proceedings of the 3rd International Conference on Networking, Information Systems & Security
In the present digital world, users have to access multiple applications for carrying out their d... more In the present digital world, users have to access multiple applications for carrying out their day-to-day business activities. As the amount of apps increase, the number of credentials (e.g. username/password) for each user increases and thereby the possibility of losing or forgetting them also increases. Single Sign-On (SSO) can be used to solve many problems related to web user authentication. OAuth-based SSO Systems are widely deployed by big tech companies such as Facebook and Google. In this paper we provide an in-depth review analysis of OAuth-based SSO systems security issues. In fact, previous efforts have been aimed either at finding errors in specific implementations, or at finding security problems within the specification itself. The main paper contribution is twofold: (1) describe in detail the OAuth 2.0 authorization flows and summarize the differences between the flows of each scenario that affect the security of the OAuth 2.0 protocol, and (2) examine the security problems related to the OAuth 2.0 specification and its implementation in the Web environment.
In this paper, a fifth order propagator operators are proposed for estimating the Angles Of Arriv... more In this paper, a fifth order propagator operators are proposed for estimating the Angles Of Arrival (AOA) of narrowband electromagnetic waves impinging on antenna array when its number of sensors is larger than the number of radiating sources. The array response matrix is partitioned into five linearly dependent phases to construct the noise projector using five different propagators from non diagonal blocks of the spectral matrice of the received data; hence, five different estimators are proposed to estimate the angles of the sources. The simulation results proved the performance of the proposed estimators in the presence of white noise comparatively to high resolution eigen based spectra.
This paper describes a blind algorithm, which is<br> compared with two another algorithms p... more This paper describes a blind algorithm, which is<br> compared with two another algorithms proposed in the literature,<br> for estimating of the minimum phase channel parameters. In order to<br> identify blindly the impulse response of these channels, we have used<br> Higher Order Statistics (HOS) to build our algorithm. The simulation<br> results in noisy environment, demonstrate that the proposed method<br> could estimate the phase and magnitude with high accuracy of these<br> channels blindly and without any information about the input, except<br> that the input excitation is identically and independent distribute<br> (i.i.d) and non-Gaussian.
In this paper we propose an algorithm based on<br> higher order cumulants, for blind impuls... more In this paper we propose an algorithm based on<br> higher order cumulants, for blind impulse response identification<br> of frequency radio channels and downlink (MC−CDMA) system<br> Equalization. In order to test its efficiency, we have compared with<br> another algorithm proposed in the literature, for that we considered<br> on theoretical channel as the Proakis's 'B' channel and practical<br> frequency selective fading channel, called Broadband Radio Access<br> Network (BRAN C), normalized for (MC−CDMA) systems, excited<br> by non-Gaussian sequences. In the part of (MC−CDMA), we use the<br> Minimum Mean Square Error (MMSE) equalizer after the channel<br> identification to correct the channel's distortion. The simulation<br> results, in noisy environment and for different signal to noise ratio<br> (SNR), are presented to illustrate the accuracy of the proposed<br> algorithm.
In this paper, we investigated the effect of real valued transformation of the spectral matrix of... more In this paper, we investigated the effect of real valued transformation of the spectral matrix of the received data for Angles Of Arrival estimation problem. Indeed, the Unitary transformation of Partial Propagator (UPP) for narrowband sources is proposed and applied on Uniform Linear Array (ULA). Monte Carlo simulation proved the performance of the UPP spectrum comparatively with: Forward Backward Propagator Method (FBPM), Unitary Propagator Method (UPM), Partial Propagator(PPM) and Cramer Rao Bound(CRB). In the second part, the results demonstrates that when some of the sources are fully correlated and closer than the Rayleigh angular limit resolution of the broadside array, the UPP method outperforms the FBPM in both of spatial resolution and complexity
This paper describes a blind algorithm, which is compared to the Zhang's and Safi's algor... more This paper describes a blind algorithm, which is compared to the Zhang's and Safi's algorithms, for estimating of the minimum phase channel parameters. In order to identify blindly the impulse response of these channels, we have used Higher Order Statistics (HOS) to build our algorithm. The simulation results in noisy environment, demonstrate that the proposed method could estimate the phase and magnitude with high accuracy of these channels blindly and without any information about the input, except that the input excitation is identically and independent distribute (i.i.d) and non-Gaussian.
Journal of telecommunications and information technology, 2014
In this paper, a comparative study between a blind algorithm, based on higher order cumulants, an... more In this paper, a comparative study between a blind algorithm, based on higher order cumulants, and adaptive algorithms, i.e. Recursive Least Squares (RLS) and Least Mean Squares (LMS) for MultiCarrier Code Division Multiple Access (MC-CDMA) systems equalization is presented. Two practical frequency-selective fading channels, called Broadband Radio Access Network (BRAN A, BRAN B) normalized for MC-CDMA systems are considered. In the part of MC-CDMA equalization, the Zero Forcing (ZF) and the Minimum Mean Square Error (MMSE) equalizer techniques were used. The simulation results in noisy environment and for different signal to noise ratio (SNR) demonstrate that the blind algorithm gives approximately the same results obtained by adaptive algorithms. However, the proposed algorithm presents the advantage to estimate the impulse response of these channels blindly except that the input excitation is non-Gaussian, with the low calculation cost, compared with the adaptive algorithms exploi...
Nowadays, the kernel methods are increasingly developed, they are a significant source of advance... more Nowadays, the kernel methods are increasingly developed, they are a significant source of advances, not only in terms of computational cost but also in terms of the obtained efficiencies in solving complex tasks, they are founded on the theory of reproducing kernel Hilbert spaces (RKHS). In this paper, we propose an algorithm for recursive identification of finite impulse response (FIR) nonlinear systems, whose outputs are detected by binary value sensors. This algorithm is based on a nonlinear transformation of the data using a kernel function. This transformation performs a basic change that allows the data to be projected into a new space where the relationships between the variables are linear. To test the accuracy of the proposed algorithm, we have compared it with another algorithm proposed in the literature, for that, we employ the practical frequency selective fading channel, called Broadband Radio Access Network (BRAN). Monte Carlo simulation results, in noisy environment a...
Journal of Telecommunications and Information Technology, 2018
The resolution of a Direction of Arrival (DOA) estimation algorithm is determined based on its ca... more The resolution of a Direction of Arrival (DOA) estimation algorithm is determined based on its capability to resolve two closely spaced signals. In this paper, authors present and discuss the minimum number of array elements needed for the resolution of nearby sources in several DOA estimation methods. In the real world, the informative signals are corrupted by Additive White Gaussian Noise (AWGN). Thus, a higher signal-to-noise ratio (SNR) offers a better resolution. Therefore, we show the performance of each method by applying the algorithms in different noise level environments.
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 2013
The modern telecommunication systems require very high transmission rates, in this context, the p... more The modern telecommunication systems require very high transmission rates, in this context, the problem of channels identification is a challenge major. The use of blind techniques is a great interest to have the best compromise between a suitable bit rate and quality of the information retrieved. In this paper, we are interested to learn the algorithms for blind channel identification. We propose a hybrid method that performs a trade-off between two existing methods in order to improve the channel estimation.
International Journal of Informatics and Communication Technology (IJ-ICT), 2017
In this paper, we present an automatic application of 3D face recognition system using geodesic d... more In this paper, we present an automatic application of 3D face recognition system using geodesic distance in Riemannian geometry. We consider, in this approach, the three dimensional face images as residing in Riemannian manifold and we compute the geodesic distance using the Jacobi iterations as a solution of the Eikonal equation. The problem of solving the Eikonal equation, unstructured simplified meshes of 3D face surface, such as tetrahedral and triangles are important for accurately modeling material interfaces and curved domains, which are approximations to curved surfaces in R<sup>3</sup>. In the classifying steps, we use: Neural Networks (NN), K-Nearest Neighbor (KNN) and Support Vector Machines (SVM). To test this method and evaluate its performance, a simulation series of experiments were performed on 3D Shape REtrieval Contest 2008 database (SHREC2008).<strong></strong>
The aim of this research is to develop a non-linear blind estimator able to represents a Broadban... more The aim of this research is to develop a non-linear blind estimator able to represents a Broadband Radio Access Networks (BRAN) channels. In the one hand, we have used Higher Order Statistics (HOS) theory to build our algorithm. Indeed, we develop a non-linear method based only on fourth order cumulants for identifying the diagonal parameters of quadratic systems. In the other hand, the developed approach is applied to estimate the experimental channels, BRAN A, C and E data normalized for MC-CDMA, in non-linear case. However, the estimated data will be used in the blind equalization. The simulation results in noisy environment and for different signal to noise ratio (SNR) show the accuracy of develop estimator blindly (i.e., without any information about the input) with non-Gaussian signal input. Furthermore, in part of blind equalization problem the obtained results, using Zero forcing (ZF) and Minimum Mean Square Error (MMSE) equalizers, demonstrate that the proposed algorithm is...
Indonesian Journal of Electrical Engineering and Computer Science, 2016
The aim of this paper is to contribute to study the problems of the blind identification and equa... more The aim of this paper is to contribute to study the problems of the blind identification and equalization using Higher Order Cumulants (HOC) in downlink Multi-Carrier Code Division Multiple Access (MC-CDMA) systems. For this problem, two blind algorithms based on HOC for Broadband Radio Access Network (BRAN) channel are proposed. In the one hand, to assess the performance of these approaches to identify the parameters of non minimum phase channels, we have considered two theoretical channels, and one practical frequency selective fading channel called BRAN C, driven by non gaussian signal. In the other hand, we use the Minimum Mean Square Error (MMSE) equalizer technique after the channel identification to correct the channel distortion. Theoretical analysis and numerical simulation results, in noisy environment and for different signal to noise ratio (SNR), are presented to illustrate the performance of the proposed methods.
In this paper, the standard Kalman filter was implemented to denoise the three dimensional signal... more In this paper, the standard Kalman filter was implemented to denoise the three dimensional signals affected by additive white Gaussian noise (AWGN), we used fast algorithm based on Laplacian operator to measure the noise variance and a fast median filter to predict the state variable. The Kalman algorithm is modeled by adjusting its parameters for better performance in both filtering and in reducing the computational load while conserving the information contained in the signal
Uploads
Papers by said safi