Browsing by Author "Boutalbi, Mohammed Chaker"

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Comparative study between EMD, EEMD, and CEEMDAN based on De-Noising Bioelectric Signals
(Institute of Electrical and Electronics Engineers, 2024) Bennia, Fatima; Moussaoui, Siham; Boutalbi, Mohammed Chaker; Messaoudi, Noureddine
In synch with the artificial intelligence era and particularly in the biomedical field, biomedical signals like electrocardiographic (ECG), electromyographic (EMG), and Electroencephalogram (EEG) are being used in various applications, such as artificial hand and arterial pressure. However, identifying a patient's ailment is still a challenge. In this paper, we have utilized three empirical mode decomposition techniques to minimize the impact of additive noises on noninvasive biomedical signals. These methods are the classical empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD), and the complete ensemble empirical mode decomposition with additive noise (CEEMDAN). Using the correlation coefficient, we conducted an extensive simulation and detailed comparative study between the noisy and reconstructed signals. The results show that the CEEMDAN method is the most effective in reducing noise compared to the other two methods.
Contribution à la qualité de service dans les flottes de drones
(Universite de Boumerdes : Faculté des hydrocarbures et de la chimie, 2022) Boutalbi, Mohammed Chaker; Riahla, Mohammed Amine(Directeur de thèse)
De nos jours, après avoir approfondi le domaine du contrôle des mouvements d'un seul UAV (véhicule aérien sans pilote, ou comme on l'appelle par drone) et atteint un haut niveau de précision et de stabilité, la recherche a commencé à s'orienter vers le contrôle de plusieurs systèmes d'UAV, également connu sous le nom de flottes de drones. Cette application a d'abord commencé sur les champs de batailles militaires et les patrouilles. Grâce aux progrès de la technologie dans de nombreux domaines, des drones bon marché et petits sont désormais disponibles et les flottes de drones commencent à voir de nombreuses autres applications dans le monde civil. Cette thèse présente un nombre de contributions à la qualité de service dans les flottes de drones. Notre travail touche deux axes différents de ce domaine d'application que sont la mise en réseau (télécommunication) et la planification de trajets (modèles de mobilité). Pour la première partie (mise en réseau), nous fournissons une étude théorique résumant et discutant l'état de l'art des protocoles de routage des drones suivi d'une proposition de solution de système multi-agents. Pour la deuxième partie, nous avons proposé une nouvelle catégorie de modèle de mobilité de drones appelée "Pseudo-Flocking". Les résultats ont enregistré un compromis plus élevé entre la couverture de la zone et la connectivité de l'essaim lors de son application sur un modèle de mobilité semi-circulaire dédié à l'utilisation de la surveillance. En outre, un nouveau schéma de mise en oeuvre appelé CSC (Chaotic Squad Coordination) est testé et s'est avéré plus précis pour les missions d'exploration de zone et de détection d'intrus
Enhanced UAVs mobility models for surveillance and intruders detection missions
(Springer, 2022) Boutalbi, Mohammed Chaker; Riahla, Mohamed Amine; Ahriche, Aimad
The use of chaotic solutions in designing UAVs’ (Unmanned Aerial Vehicles) mobility models for surveillance systems is becoming the trend in the last years. The substitution of the random part by a chaotic solution of a dynamic system has proven to be more effective. Therefore, this paper presents CSC (Chaotic Squad Coordination), a novel implementation scheme of UAVs mobility models in surveillance and intruders detection missions. The CSC comes as a low-cost solution to make the UAVs swarm efficiently explore the area of interest and detect malicious intruders, all in a spontaneous manner using a chaotic solution without the need for energy-consuming approaches like the ACO algorithm or deterministic group flocking rules. The used strategy guards the swarm’s movement unpredictability and offers the possibility of implementing a scalable collision avoidance flight plan. In addition, we designed a hybrid chaotic mobility model that switches between two chaotic attractors (Rossler and Ma systems). We used an iterative evolutionary algorithm to optimize its parameters in order to improve the overall delivered quality of service. Extensive simulation experiments are provided in this work to compare seven UAVs chaotic mobility models. The results confirmed the superiority of the CSC strategy that produced better quality of service concerning the swarm’s connectivity, the area coverage, and intruders detection, where the designed mobility model provides an overall reasonable trade-off in parallel with its higher area coverage fairness compared with its peers (CSC-based mobility models)
High-capacity DWT-SVD watermarking for MRI images embedding MITR medical information
(Elsevier, 2025) Benyoucef, Aicha; Goudjil, Aya; Hamadouche, M'Hamed; Boutalbi, Mohammed Chaker; Ammar, Mohammed; El Habib Daho, Mostafa
Securing Medical Imaging Test Reports (MITRs) during digital transmission is a growing concern in the era of telemedicine. Conventional watermarking methods often face a trade-off between imperceptibility, robustness, and payload capacity, especially in the context of sensitive medical data. To address this challenge, we propose an efficient and secure watermarking technique tailored for MRI brain images, using a combination of Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). The core idea involves embedding four sub-watermarks—a QR-encoded MITR, patient photo, and hospital logos—into strategically selected Region of Non-Interest (RONI) blocks of the cover image, while preserving the diagnostic Region of Interest (ROI). This region-based design ensures both high payload capacity and minimal visual distortion, even under hardware constraints. Experimental evaluations demonstrate that our method maintains high imperceptibility (PSNR > 67 dB, SSIM = 1.000), robustness (NC > 0.9430), and zero Bit Error Rate (BER = 0.1120) under common image processing attacks. Additionally, the use of QR codes for encoding the MITR improves the security and confidentiality of patient data. Compared to recent approaches, our method achieves better performance in both visual quality and robustness, confirming its effectiveness for secure medical image transmission in clinical and telehealth applications
A summary of the existing challenges in the design of a routing protocol in UAVs network
(IEEE, 2020) Boutalbi, Mohammed Chaker; Riahla, Mohamed Amine; Ahriche, Aimad
The difficulties in the routing mechanism in UAV's networks are taking interest in these last years. The challenge is still up to come up with full solutions for the developed constraints that have been raised with the high dynamicity and link disconnections in this type of ad hoc network. Large and detailed surveys have been proposed in the literature, where they essentially focus on the taxonomy of a vast number of proposed solutions. Based on this, and from a different angle of view, in this paper, we summarize the existing challenges in the design of a routing protocol for UAVs network. Unlike the other works, our approach focuses on collecting and illustrating all routing constraints that a drone can face in the decision-making process, also, we argue on how an appropriate design of a FANET routing protocol should be to provide a generic and efficient evaluation platform for future works.