MOHAMMED OUANAN - Profile on Academia.edu (original) (raw)

Papers by MOHAMMED OUANAN

Survey of SIP Malformed Messages Detection

Session Initiation Protocol (SIP) is an application layer protocol designed to control and establ... more Session Initiation Protocol (SIP) is an application layer protocol designed to control and establish multimedia sessions over internet. SIP gaining more and more popularity as it is used by numerous applications such as telephony over IP (ToIP). SIP is a text based protocol built on the base of the HTTP and SMTP protocols. SIP suffers from certain security threats which need to b e resolved in order to make it a more efficient signaling protocol. In this work, we review the proposed works aimed to detect SIP malformed messages that can cause security problem. Then, we classify the type of SIPmalformed message and compare between the mechanisms used to reinforce the detection of SIP malformed message attack.

In this paper, we study the existence and regularity of positive solution for an elliptic system ... more In this paper, we study the existence and regularity of positive solution for an elliptic system on a bounded and regular domain. The non linearities in this equation are functions of Caratheodory type satisfying some exponential growth conditions.

Abstract. This paper concerns some special properties of the principal eigen-value of nonlinear e... more Abstract. This paper concerns some special properties of the principal eigen-value of nonlinear elliptic systems with Dirichlet boundary conditions. We study the stability with respect to the exponents p and q; and the dependence on the domain variations. 1.

Electronic Journal of Qualitative Theory of Differential Equations, 2004

This paper is concerned with the bifurcation result of nonlinear Neumann problem −∆ p u = λm(x)|u... more This paper is concerned with the bifurcation result of nonlinear Neumann problem −∆ p u = λm(x)|u| p−2 u + f (λ, x, u) in Ω ∂u ∂ν = 0 on ∂Ω. We prove that the principal eigenvalue λ 1 of the corresponding eigenvalue problem with f ≡ 0, is a bifurcation point by using a generalized degree type of Rabinowitz.

Electronic Journal of Qualitative Theory of Differential Equations, 2003

We study the following bifurcation problem in a bounded domain Ω in We prove that the principal e... more We study the following bifurcation problem in a bounded domain Ω in We prove that the principal eigenvalue λ 1 of the following eigenvalue problem Ω) is simple and isolated and we prove that (λ 1 , 0, 0) is a bifurcation point of the system mentioned above.

Applicationes Mathematicae, 2009

Via critical point theory we establish the existence and regularity of solutions for the quasilin... more Via critical point theory we establish the existence and regularity of solutions for the quasilinear elliptic problem    − div A(x, ∇u) + a(x)|u| p−2 u = g(x)|u| p−2 u + h(x)|u| s−1 u in R N , u > 0, lim |x|→∞ u(x) = 0, where 1 < p < N ; a(x) is assumed to satisfy a coercivity condition; h(x) and g(x) are not necessarily bounded but satisfy some integrability restrictions.

$Research paper thumbnail of On some nonlinear elliptic problems for p–Laplacian in <math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow></mrow><annotation encoding="application/x-tex"></annotation></semantics></math>\mathbb {R}^N$$$

Nonlinear Differential Equations and Applications NoDEA, 2008

In this paper, we consider a nonlinear elliptic problem involving the p-Laplacian with perturbati... more In this paper, we consider a nonlinear elliptic problem involving the p-Laplacian with perturbation terms in the whole R N. Via variational arguments, we obtain existence and regularity of nontrivial solutions.

Canadian Mathematical Bulletin, 2006

We show that each point of the principal eigencurve of the nonlinear problem–Δpu– λm(x)|u|p–2u= μ... more We show that each point of the principal eigencurve of the nonlinear problem–Δpu– λm(x)|u|p–2u= μ|u|p–2uin Ω,is stable (continuous) with respect to the exponentpvarying in (1,∞); we also prove some convergence results of the principal eigenfunctions corresponding.

The multilayer perceptron (MLP) is an artificial neural network composed of one or more hidden la... more The multilayer perceptron (MLP) is an artificial neural network composed of one or more hidden layers. MLP has an extensive array of classification and regression applications in a wide range of domains. Selecting the right neural network architecture to solve a specific problem is one of the major areas of neural network research. The number of neurons in the hidden layers and the initial weights have a great effect on the convergence of MLP training algorithms. This paper presents a technique termed hyperparameter optimization model for the multilayer perceptron. We model in terms of mixed-variable optimization problems with nonlinear constraints. To solve the obtained model, a hybrid algorithm is used, based on the genetic algorithm and the backpropagation algorithm. The numerical results demonstrate the efficiency of the technique presented in this paper, and the advantages of the proposed model vis-a-vis the previous state-of-the-art model.

Content-Based Image Retrieval Using Octree Quantization Algorithm

Lecture notes in networks and systems, 2023

Procedia Computer Science, 2017

Face verification in the wild, remains a challenging problem. This paper makes two contributions:... more Face verification in the wild, remains a challenging problem. This paper makes two contributions: first, for improving face recognition in the wild, at least in terms of pose variations, we propose a method for aligning faces by employing single-3D face model as reference produced by FaceGen Modeller. Second, we develop a novel face descriptor based on Gabor Filters. The proposed descriptor relies on combination of Gabor magnitude and Gabor phase informations into an unified framework, which is capable to overcome standard representations in the most popular benchmark "Labeled Faces in the Wild" (LFW). This compact descriptor has a better recognition performance, reaches an accuracy of 97.29% on the LFW dataset.

TELKOMNIKA : Indonesian Journal of Electrical Engineering, Aug 1, 2015

We propose, in this paper, a new method for Content Based Image Retrieval (CBIR) by exploiting th... more We propose, in this paper, a new method for Content Based Image Retrieval (CBIR) by exploiting the digital image content. Our method is based on the representation of the digital image content by a characteristics vector of the indexed image. Indeed, we have exploited the image texture to extract its characteristics and for constructing a new descriptor vector by combining the Bidimensional High Resolution Spectral Analysis 2-D ESPRIT (Estimation of Signal Parameters via Rotationnal Invariance Techniques) method and Gabor filter. To evaluate the performance, we have tested our approach on Brodatz image database. The results show that the representation of the digital image content appears significant in research of imaging information.

Phonemes Recognition Using Formant Analysis in the Case of Consonant Vowel Transition Case “Amazigh Language”

Advances in intelligent systems and computing, 2022

Facial landmark localization: Past, present and future

Face landmarking, defined as the detection and localization of certain keypoints points on the fa... more Face landmarking, defined as the detection and localization of certain keypoints points on the face, plays arguably the important role as an intermediary step for many subsequent face processing operations that ranges from biometric recognition to the understanding of mental states. Though its conceptual simplicity, the computer vision problem has proven extremely challenging due to multitude of compound factors such as pose, expression, occlusion and illumination. In this paper, we survey the recent advances of facial landmarks localization techniques and discuss the advantages and disadvantages of the presented algorithms.

International Journal of Advanced Computer Science and Applications, 2023

Various studies inside the domain of research and the development of automatic speech recognition... more Various studies inside the domain of research and the development of automatic speech recognition (ASR) technologies for several languages have not yet been published and thoroughly investigated. Nevertheless, the unique acoustic features of the Amazigh language, for example, Amazigh's consonant emphasis, pose many obstacles to the development of automatic speech recognition systems. In this study, we examine Amazigh language voice recognition. We treat the problem by focusing on transitions in vowel and consonant sounds and formant frequencies of phonemes. We present a hybrid strategy for phoneme separation based on energy differences. This includes analysis of consonant and vowel features, and identification methods based on formant analysis.

Developing Good Habits Using Deep Learning Techniques

in this present work, we emphasize the main question about success: why do some people seem to be... more in this present work, we emphasize the main question about success: why do some people seem to be successful while the great majority of the rest of us seem not to be? To be more specific, the challenge of this work is to propose a novel system to assist people in developing good habits using deep learning techniques. To achieve this goal, we propose the use of Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN). The two best-known supervised learning method. The first step consists of using a deep RNN neural network to perform the captioning of the user’s activities. Then use another deep CNN to do the classification of the activity based on the result of the first network and then decide whether what the user is doing is a good habit or not. To our knowledge, there is no previous work dealing with this topic through a computer science lens, and this will be of greater value to most of the people who are interested in developing new good habits. This system will also suggest new directions for basic and applied research on success in general and good habits in particular.

Using content-based image retrieval to automatically assess day similarity in visual lifelogs

Today, we witness the appearance of many lifelogging cameras that are able to capture the life of... more Today, we witness the appearance of many lifelogging cameras that are able to capture the life of a person wearing the camera, which produce a large number of images everyday. Automatically characterizing the experience and extracting patterns of behavior of individuals from this huge collection of unlabeled and unstructured egocentric data present major challenges and require novel and efficient algorithmic solutions. The main goal of this work is to propose a new method to automatically assess day similarity from the lifelogging images of a person. We propose a technique to measure the similarity between images based on the Swain's distance and generalize it to detect similarity between daily visual data. To this purpose, we apply dynamic time warping (DTW) combined with the Swain's distance for final day similarity estimation. For validation, we apply our technique on the Egocentric Dataset of University of Barcelona (EDUB) of 4912 daily images acquired by 4 persons with preliminary encouraging results.

Myface: Unconstrained Face Recognition

Lecture notes in networks and systems, Nov 12, 2017

Face verification in unconstrained images, remains a challenging problem. Many works have been pr... more Face verification in unconstrained images, remains a challenging problem. Many works have been proposed to solve this problem. However, the performance gap existing between the human visual system and machines in face recognition remain important. This paper makes two contributions: firstly, for improving face recognition in the wild, at least in terms of pose variations, we propose a method for aligning faces by employing single-3D face model as reference produced by FaceGen Modeller. Secondly, we developed a novel face representation technique based on Gabor Filters. The proposed approach relies on combination of Gabor magnitude and Gabor phase informations into an unified framework, which capable to surpass standard representations in the well-known FERET dataset.

CBIR using the 2-D ESPRIT method: Application to Coil_100 database

Most retrieval systems are mostly based on key words for image search, but in many case it cannot... more Most retrieval systems are mostly based on key words for image search, but in many case it cannot meet demands for different user with different view. In this paper, a new approach of content based image retrieval (CBIR) is presented, which is based on the image frequency content. Indeed, we have used the 2-D ESPRIT (Estimation of Signal Parameters via Rotationnal Invariance Techniques) method to extract from the image the frequency content for constructing the vector descriptor. Our approach is applied to the Coil_100 database and the experimental results show that this method improves the precision of image retrieval.

A survey of activity recognition in egocentric lifelogging datasets

2017 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS)

With the appearance of many devices that everyday captured a large number of images. The rapid ac... more With the appearance of many devices that everyday captured a large number of images. The rapid access to these huge collections of images and automatically characterizing an activity or an experience from this huge collection of unlabeled and unstructured egocentric data presents major challenges and requires novel and efficient algorithmic solutions. One of the big challenges of egocentric vision and lifelogging is to develop automatic algorithms to automatically characterize everyday activities. Such information is of high interest to predict migraines attacks or assure healthy behavior of patients and individuals of high healthy risk. In this work, we first conduct a comprehensive survey of existing egocentric datasets and we will present our future contribution to automatically characterize everyday activities.