Publications Internationales

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    Linear and nonlinear control design for a quadrotor
    (2025) Hadid, Samira; Boushaki Zamoum, Razika; Refis, Youcef
    In the current study, the quadrotor's nonlinear dynamic model is developed using the Newton-Euler approach. Following that, several nonlinear and linear control strategies for tracking the quadrotor's trajectory are applied. First, by employing distinct controllers for each output variable, direct application of the linear proportional integral derivative (PID) controller to the nonlinear system is realized. This system may also be linearized about an operational point to generate linear controllers, according to the linear quadratic regulator (LQR) demonstration. Nevertheless, in practice, the system dynamics may not always be accurately reflected by this linear approximation and may even be relatively wasteful. Nonlinear regulators, including the feedback linearization (FBL) controller, sliding mode controller (SMC), and modified sliding mode controller (MSMC), perform better in such situations. The trajectory tracking capabilities, dynamic performance, and potential disruption impact of both methods are evaluated and compared. The FBL with LQR was the best controller among them all. The SMC and the MSMC were also very good in tracking the trajectory.
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    An efficient method to solve the Schrödinger equation with complex PT-symmetric potentials
    (World Scienti¯c Publishing Company, 2023) Rouabhi, Fatma Zohra; Ami, I.; Mezhoud, R.; Lombard, R. J.
    In this work, we present a simple and efficient method to compute numerically the eigenvalues of complex PT-symmetric Hamiltonian. Numerous works have been devoted to such Hamiltonians since the discovery that they admit totally or partially real spectra. To our knowledge, the method we are advocating has not been used in this context. Besides the determination of real eigenvalues, it allows us to observe the symmetry breaking and to calculate the imaginary parts of the energy.
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    Anticancer and antiproliferative activities of Algerian Origanum majorana L.’s essential oil on PC-3 and SKBR3 cells
    (Taylor and francis, 2024) Hafid, Nourehouda; Bouchenak, Ouahiba; Serttas, Riza; Bouhenna, Mustapha Mounir; Khiari, Ouiza; Oussaid, Sounia; Suat, Erdogan
    Cancer is a prominent cause of death globally, with breast cancer and prostate cancer being among the most devastating types. Therefore, the available anticancer treatments have some drawbacks, like higher toxicity and limited bioavailability. Thus, this study aimed to investigate for the first time the anticancer activity of Algerian Origanum majorana L.’s essential oil (OMEO). This research assessed the chemical profile of Algerian OMEO by gas chromatography coupled with mass spectrometry (GC-MS). The analysis revealed 29 compounds, which represent 98.08% of total volatile oil. The major compounds identified in OMEO were terpinen-4-ol (21.37%), γ-terpinene (15.78%), α-terpinene (10.43%), and trans-sabinene hydrate (9.27%). Additionally, MTT (3-(4,5-dimethylthiazol- 2-yl)-2,5-diphenyl tetrazolium bromide) was also used to test the cytotoxicity on prostate cancer (PC-3), breast cancer (SKBR3), and normal retinal pigment epithelium (ARPE-19) cell lines. The results showed a selective cytotoxicity effect by decreasing cell viability of PC-3 cancer cells with half inhibitory concentration (IC50) of 608.57 μg/mL and 672.5 μg/mL after 48h and 72h, respectively. Regarding SKBR3 cancer cells, the IC50 was 991.5 μg/mL. OMEO exhibited no significant cytotoxicity against normal (ARPE-19) cells. Furthermore, we conducted a cell apoptosis assay using Hochest 33342 dye to explore the potential mechanism pathway of OMEO. The findings verified that OMEO could trigger apoptosis in PC-3 and SBKR3 cancer cells. The ability of OMEO to inhibit cell migration assessed via wound healing assay revealed a significant decrease in cell migration. Our results imply that OMEO decreases cell viability by inducing cell apoptosis. Moreover, the oil suppresses cell migration in prostate cancer and breast cancer cells.
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    Data aggregation point placement optimization in Smart Metering Networks
    (JES, 2024) Grainat, Youcef; Recioui, Abdelmadjid; Oubelaid, Adel
    This study explores the application of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) within the framework of smart grids (SG), specifically for the optimal placement of data aggregation points (DAPs) across a network of 150 Z-wave smart meters distributed within various smart cities. The investigation aims to identify which of the two- optimization strategies offers a more cost-efficient solution while evaluating their performance in terms of transmission average latency (AL) and execution time (ET) efficiency. The results indicate that although ACO slightly edges out PSO in reducing overall costs in networks with a higher complexity and more DAPs, PSO demonstrates superior performance in execution speed, lower AL, and total cost, underscoring its viability for swift integration in smart metering infrastructures.
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    Compact UWB patch antenna with open -loop resonator for dual -band rejection
    (MWJ, 2025) Fortas, Ibrahim; Ayad, Mouloud; Zoubiri, Bachir
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    Sensor Fault Detection in Uncertain Large-Scale Systems Using Interval-Valued PCA Technique
    (IEEE, 2025) Louifi, Abdelhalim; Kouadri, Abdelmalek; Harkat, Mohamed-Faouzi
    Principal component analysis (PCA)-based fault detection and diagnosis (FDD) is a well-established, data- driven method that has shown remarkable performance. Despite the excellent reputation of the PCA, it is not an opti- mal solution, mainly due to the effect of system parameters’ uncertainties and imprecise measurements. These drasti- cally affect the decision-making concerning the operating state of the process. In this article, the data collected by different sensors are transformed from a single value to an interval value form by which errors and uncertainties in the measurements are quantified satisfactorily. Then, the process modeling based on the PCA technique has been duly performed for interval-valued. Afterward, the well-known fault detection statistics T 2 , Q, and 8 are obtained under an interval-valued representation. The developed technique is tested in the cement rotary kiln process. Its performance in terms of false and missed alarms and detection delay is compared with that of other techniques through an actual involuntary system fault and other different types of sensor faults. The obtained results show high superiority in detecting accurately and quickly distinct faults in a stochastic environment, including unknown and uncontrolled uncertainties. Consequently, the results have been reduced by more than 33%, 85%, and 45% for T 2 , Q, and 8, respectively, compared with the best results of the studied methods.
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    Flows characteristics of two immiscible swirling fluids in a cylinder
    (Mechanika, 2024) Brahma, Kenza; Saci, Rachid; Mansouri, Kacem; Imoula, Malika
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    Modern artificial intelligence technics for unmanned aerial vehicles path planning and control
    (2025) Zamoum, Yasmine; Baiche, Karim; Benkeddad, Youcef; Bouzida, Brahim
    Unmanned aerial vehicles (UAVs) require effective path planning algorithms to navigate through complex environments. This study investigates the application of Deep Q-learning and Dyna Q-learning methods for UAV path planning and incorporates fuzzy logic for enhanced control. Deep Q-learning, a reinforcement learning technique, employs a deep neural network to approximate Q-values, allowing the UAV to improve its path planning capabilities by maximizing cumulative rewards. Conversely, Dyna Q-learning leverages simulated scenarios to update Q- values, refining the UAV’s decision-making process and adaptability to dynamic environments. Additionally, fuzzy logic control is integrated to manage UAV movements along the planned path. This control system uses linguistic variables and fuzzy rules to handle uncertainties and imprecise information, enabling real-time adjustments to speed, altitude, and heading for accurate path following and obstacle avoidance. The research evaluates the effectiveness of these methods individually, with a focus on model-free learning in a gradual training approach, and compares their performance in terms of path planning accuracy, adaptability, and obstacle avoidance. The paper contributes to a deeper understanding of UAV path planning techniques and their practical applications in various scenarios.
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    Electrochemical Deposition of PANI/PEDOT:PSA. A. S Composite Polymer for Supercapacitors Application
    (Springer Nature, 2024) Loucif Seiad, M.; Meziane, L.; Boudieb, N.; Kahlouche, K.; Nait Bouda, A.; Ratni, I.; Benammane, I.
    Supercapacitors have attracted a great deal of interest in energy storage due to their high power density and exceptionally long cycle life. Conductive polymers, such as polyaniline (PANI) and poly (3,4-ehtylenedioxythiophene) (PEDOT), are among the most studied electroactive materials due to their excellent properties. In the present study, PANI and PANI/PEDOT:PSS composites were synthesized electrochemically for supercapacitor applications. Characterization techniques, such as X-ray diffraction, indicate the amorphous nature of PANI and PANI/PEDOT:PSS composites. UV-Vis spectroscopy was used to analyze the optical properties of PANI and PANI/PEDOT:PSS composite. The morphology of the PANI/PEDOT:PSS composite observed by scanning electron microscopy (SEM) shows the morphology of the porous structure, which enhances charge transport in the supercapacitor. The electrochemical performance of both materials was obtained in a 0.5 M H2SO4 electrolyte. The cyclic voltammetry study of the PANI/PEDOT:PSS composite showed the highest specific capacitance of 1265.38 F/g at a scan rate of 20 mV compared with PANI, which recorded a value of 1020 F/g at 10 mV/s. Electrochemical impedance spectroscopy with an appropriate equivalent circuit model was employed to explore the internal resistance and capacity observed for PANI and PANI/PEDOT:PSS. Electrochemical and physicochemical characterization tests showed that the composite exhibited superior electrical and structural performance, making it a suitable material for energy storage applications.
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    One-dimensional model of heat exchanging throughout a three-dimensional building room integrated by phase change material
    (Elsevier B.V., 2025) Bechiri, Mohammed; Mansouri, Kacem
    This paper presents a numerical investigation aimed at analyzing heat exchange and thermal comfort conditions within a building room during the hot season. In this setup, one wall, the roof, and the floor are thermally insulated, while the remaining three walls are constructed with brick embedded with phase change material (PCM). These non-insulated walls are subjected to a constant external surface temperature. Additionally, a latent heat storage unit comprising a set of tubes is installed in the room's ceiling region. The mathematical model employed in this study is based on pure conduction in the brick and in the walls containing PCM, as well as natural convection in the room air. Natural convection within the liquid phase of the PCM storage unit is accounted for by considering the effective thermal conductivity's dependence on the liquid fraction. The enthalpy method is utilized to solve energy equations in both the solid and liquid phases of the PCM, whether in walls or tubes. Heat transfer within the room is assumed to be unidirectional through the walls and tubes, with zero-dimensional considerations in the air region. The developed model is thoroughly analyzed and compared with existing literature, showing good agreement. Subsequently, a parametric study investigating various geometrical and thermo-physical parameters of the building room is conducted. The results indicate that the PCM within the walls contributes to maintaining indoor temperatures within the comfort range. Furthermore, the heat storage unit helps sustain indoor temperatures at the comfort level as long as the PCM within the tubes is undergoing melting processes.