Journal Articles

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Open Access
Analysis and Design of Terahertz Microstrip antenna based on Photonic Band Gap
(Université de M'sila, 2020) Mohamed Nasr eddine TEMMAR
تركز هذه الرسالة على تحليل وتصميم هوائيات تيراهيرتز الميكروستريب القائمة على الركيزة البلورية الضوئية. تم تصميم وتحليل الركيزة CST Microwave Studio البلورية الضوئية المركبة باستخدام تقنية تعتمد على مزيج من خوارزمية التحسين التطوري مع المحاكي ومقارنتها مع أداء الهوائي القائم على الركيزة المتجانسة و البلورية الضوئية التقليدية. بعد ذلك ، تم تصميم وتحليل العديد من هوائيات تيراهيرتز بناءً على ركائز فجوة الحزمة الضوئية المعدلة والمهندسة. تم كذلك مقارنة النتائج التي تم الحصول عليها من الهوائيات باستخدام هوائي مصغر مصمم على أساس MIMO المذكورة مع أوراق بحثية مختلفة. أخيرًا ، تم التحقيق في نظام اتصال داخلي و SIMO و SISO ركيزة بلورية ضوئية محسنة مع الجرافين في نطاق التيراهيرتز متبوعًا بدراسة سيناريو اتصال داخلي شائع لنظم ومقارنتها مع أعمال بحثية أخرى. MIMO و MISO
Open Access
Analytical Model of Slotted Surface Mounted Permanent Magnet Synchronous Motors with Non-magnetic Rotor Core
(Université de M'sila, 2021) S.Mabrak; S. Chakroune; D. Khodja
In this paper, first of all the motor performance created by permanent magnetic in a slot less air-gap of a surface mounted permanent-magnet synchronous motor with non magnetic rotor and either sinusoidal or mixed (quasi-Halbatch) magnetization using polar coordinates is presented. After that the analysis works for both internal and external rotor motor topologies, the effect of stator slots is introduced by modulating the magnetic field distribution in the less slot stator by the complex relative air-gap permeances and the conformal transformation of the slot geometry. Finally, the predicted results of flux density distribution and cogging torque with those obtained by finite-element are analyzed.
Open Access
Broadband planar slot antenna using a simple single-layer FSS stopband
(Université de M'sila, 2019-12) Djaouida, Belmessaoud
In this study, the authors propose a simple structure of a new broadband planar slot antenna using a wide single-layer frequency selective surface (FSS) stopband. The proposed design is realised in two stages. First, the performances of the FSS unit cells are investigated using the finite element method of high-frequency structure simulator. Besides, the FSS structure considered as a stop-band filter in the bandwidth (3 − 7 GHz), is also validated by computer simulation technology microwave studio. Second, this FSS reflector is combined with a miniaturised wideband planar slot antenna (29 × 24 × 1.57 mm3). The final proposed combination is also designed, optimised, fabricated and validated by measurements. The obtained results show an operating impedance bandwidth of 86.38% (2.92 − 7.36 GHz) including the Worldwide interoperability for Microwave Access band, the C band for satellite applications, and the Wireless Local Area Network band. Furthermore, the antenna provides an 8.87 dBi measured maximum gain. Compared to the same antenna without FSS, a maximum gain enhancement of 5.53 dBi is achieved by the proposed structure. In addition, the back lobes are reduced in the proposed structure by > 15 dBi, compared to a simple antenna. The total size of the proposed antenna, integrating the FSS, is 0.63λ0 × 0.63λ0 × 0.12λ0.
Open Access
Combined optical-electrical modeling of perovskite solar cell with an optimized design
(Université de M'sila, 2020) T. Bendib; H. Bencherif; M.A. Abdi; F. Meddour; L. Dehimi; M. Chahdi
This paper deals with the investigation of an optimized design of n-i-p perovskite solar cell by means of combined optical and electrical approach. The proposed approach is mainly based on Transfer Matrix Method (TMM) and SCAPS-1Dsimulator. It considers different optical and electrical mechanisms. Several electron and hole transport proprieties are examined to enhance the solar cell efficiency. The proposed approach permits to balance the compromise between high optical performance and good band alignment for ETM and HTM candidates. The obtained results show that tin dioxide (SnO2) and Zinc oxide (ZnO) are appropriates candidates as ETL materials. Concerning the HTL materials, the suggested Nickel (II) oxide (NiO) is the appropriate one. The optimized design with ZnO as ETM and NiO as HTM outperforms the conventional solar cell in terms of short circuit current density by (23.84 mA/cm2), open circuit voltage by (1.268 V), fill factor and efficiency by (83.77%) and (24.94) respectively. Hence, the proposed approach is definitely practical not just for investigating perovskite solar cells’ high-efficiency, but also for implementation in SCAPS-1D software, in order to precisely examine and optimize different solar cells optical and electrical performance.
Open Access
Computational evaluation of optoelectronic, thermodynamic and electron transport properties of CuYZ2 (Z= S, Se and Te) chalcogenides semiconductors
(UNIVERSITE MSILA, 2022) Mohammed Elamin Ketf; Mohamed Issam Ziane
Due to their useful physical properties, copper-based chalcogenides materials are recently promising for numerous emerging technological fields. In photovoltaics, discovering and designing suitable materials for solar cells is a primary technical challenge. The structural, electrical, optical, and thermoelectric properties for both CuYSe2 and CuYTe2 in the hexagonal phase, as well as CuYS2 in the orthorhombic phase have been investigated using a numerical Full Potential-Linearized Augmented Plane Wave (FP-LAPW) technique based on Density Functional Theory (DFT). To compute the structural properties, both, the local density approximation (LDA) and the generalized gradient approximation (PBE-GGA) were used as exchange-correlation potentials. On the other hand, the modified Becke-Johnson (mBJ) was used to compute the optoelectronic, properties with higher degree of precision. Our calculations revealed that these three compounds have indirect band gaps in the range of 0.6 eV–2.1 eV. Moreover, numerous thermoelectric qualities of the investigated compounds estimated as a function of chemical energy at different temperatures using the semi-local Boltzmann transport theory, whereby the findings exhibit a higher Seebeck coefficient for CuYS2 compared to CuYZ2(Z = Se and Te) up to 2.7 mV/K for CuYS2 at 300 K, with acceptable values of thermal and electronic conductivity. The quasi-harmonic model is used to examine thermodynamic properties such as heat capacity at constant pressure and volume, entropy, Debye temperature, and thermal expansion coefficient under both pressure and temperature influences. As a result of this study, CuYS2, CuYSe2 and CuYTe2 are promising materials for optoelectronic devices, especially as photovoltaic materials in solar cells.
Open Access
Design of a Selective Smart Gas Sensor Based on ANN-FL Hybrid Modeling
(Université de M'sila, 2018) S., Kouda
In this paper, we propose the modeling of an industrial gas sensor “MQ-9”, where our modeling is based on ANNs “artificial neural networks”. The gas sensor model, obtained, operated under a dynamic environment and expresses accurately the MQ-9 gas sensor behavior. Accordingly, it takes into account the nonlinearity and the cross sensitivity in gas selectivity, temperature and humidity. This model is implemented into PSPICE “performance simulation program with integrated circuit emphasis” simulator as an electrical circuit in order to prove the similarity of the analytical model output with that of the MQ-9 gas sensor.
Open Access
Design of mid infrared high sensitive metal-insulator-metal plasmonic sensor
(université msila, 2021) H. Ben salah; N. Temmar; A. Hocini, M.; D. Khedrouche
In this paper, high sensitivity plasmonic refractive index sensor based on implanted cavities in Metal-Insulator-Metal (MIM) waveguide is designed and analyzed using two dimensional (2D) FDTD algorithm with perfectly matched layer boundary conditions. The dimensions of the introduced single and double cavities with rectangular defect are analyzed and simulated for the best sensor performance. The results reveal in linear correlation between the resonance wavelengths of the proposed defected cavities and the refractive index of the material under testing which is placed in the active region of the sensor. Also, simulation results show that the sensor resolution of refractive index, which depends on wavelength resolution of the detection system, can reach as high as 3.84 × 10 6 RIU, equivalentely to a sensitivity of 2602.5 nm/RIU, by taking the wavelength resolution of 0.01 nm.With the achieved optimum design by considering the tradeoff between the detected power, sensitivity and structure size, the transmittance level is enhanced by 118.08% compared to the first design. The proposed sensor can be used for different interesting applications such as identification of various materials including biosensor application, by proper design.
Open Access
Distributed CA-CFAR and OS-CFAR Detectors Mentored by Biogeography Based Optimization Tool
(Université de M'sila, 2019) Amel Gouri
In this paper, distributed constant false alarm rate (CFAR) detection in homogeneous and heterogeneous Gaussian clutter using Biogeography Based Optimization (BBO) method is analyzed. For independent and dependent signals with known and unknown power, optimal thresholds of local detectors are computed simultaneously according to a preselected fusion rule. Based on the Neyman-Pearson type test, CFAR detection comparisons obtained by the genetic algorithm (GA) and the BBO tool are conducted. Simulation results show that this new scheme in some cases performs better than the GA method described in the open literature in terms of achieving fixed probabilities of false alarm and higher probabilities of detection
Open Access
A Dynamic Invasive Weeds Optimization Applied to Null Control of Linear Antenna Arrays with Constrained DRR
(Université de M'sila, 2021) Elhadi Kenane; Haddi Bakhti; Miloud Bentoumi; Farid Djahli
In the present work, a dynamic stochastic method is proposed and used for the synthesis of uniform linear antenna arrays. The proposed method combines the classical invasive weeds optimization (IWO) and the mutation process, which makes it robust, simple and shows flexibility to be adapted. The dynamic IWO applies the mutation process in the calculation of standard deviation during the spatial dispersal process of produced seeds while keeping the mean at the parent plants. In the mutation process, if special conditions were achieved, the standard deviation would be re-initialized. This proposed method tries to achieve an optimal array pattern by acting on the relative amplitude excitation of each element in the linear array for an optimal inter-element spacing. The optimal array pattern has deep or broad nulls in some directions of interferences with low sidelobes level. The objective of the synthesis is to get amplitude excitations with low dynamic range ratio (DRR), which facilitates the design of beamforming feed network. To illustrate the robustness of the proposed method, numerical examples are presented and compared with the obtained results using bees algorithm (BA), bacterial foraging algorithm (BFA), real genetic algorithm (RGA), and the corresponding reference array pattern for each example
Open Access
Effect of the electric field induced birefringence on the slab waveguide evanescent‑wave sensor sensitivity
(Université de M'sila, 2022) A. Cherouana; A. Bencheikh; I. Bouchama
We have investigated the potential of using the E-field induced birefringence for improving the sensitivity of uniaxial anisotropic slab waveguide sensor based on evanescent wave interactions. LiNbO3 waveguide core was used as an example. We have calculated the sensor sensitivity formulas for the two kinds of modes propagating simultaneously in the waveguide sensor. In our study, we have distinguished between two different cases. The first case when the electric field is applied along the optic axis (+c) of the LiNbO3 wave guiding film (positive electric field); the second case when the electric field is applied opposite to the optic axis (−c) of such uniaxial crystal (negative electric field). The obtained results showed that, for positive electric field, increasing the electric field induces an increasing of the total anisotropy which causes decreasing on sensor sensitivity. However, for negative electric field, the increase of absolute values of negative electric field induces a decrease of the total anisotropy, the latter increases the sensor sensitivity. On the other hand, the study of the physical parameters on the sensor sensitivity showed that, to maximize the sensor sensitivity, it is advisable to use isotropic substrate that has a refractive index as closer as possible to the measurand index.
Open Access
Effect of the Thickness of High Tc Superconducting Rectangular Microstrip Patch Over Ground Plane with Rectangular Aperture
(Université de M'sila, 2018-06) BOUKHENNOUFA, Nabil
of new materials in microwave technology. Particularly, a special interest has been observed in the use of superconducting materials in microwave integrated circuits, this is due to their main characteristics. In this paper, the complex resonant frequency problem of a superconductor patch over Ground Plane with Rectangular Aperture is formulated in terms of an integral procedure is used in the resolution of the electric field integral equation. The surface impedance of the superconductor film is modeled using the two fluids model of Gorter and Casimir. Numerical results concerning the effect of the thickness of the superconductor patch on the characteristics of the antenna are presented.
Open Access
EFFICIENT HEART DISEASE DIAGNOSIS BASED ON TWIN SUPPORT VECTOR MACHINE
(Université de M'sila, 2021) Youcef BRIK; Mohamed DJERIOUI; Bilal ATTALLAH
Heart disease is the leading cause of death in the world according to the World Health Organization (WHO). Researchers are more interested in using machine learning techniques to help medical staff diagnose or detect heart disease early. In this paper, we propose an efficient medical decision support system based on twin support vector machines (Twin-SVM) for heart disease diagnosing with binary target (i.e. presence or absence of disease). Unlike conventional support vector machines (SVM) that finds only one optimal hyper-plane for separating the data points of first class from those of second class, which causes inaccurate decision, Twin-SVM finds two non-parallel hyper-planes so that each one is closer to the first class and is as far from the second class as possible. Our experiments are conducted on real heart disease dataset and many evaluation metrics have been considered to evaluate the performance of the proposed method. Furthermore, a comparison between the proposed method and several well-known classifiers as well as the state-of-the-art methods has been performed. The obtained results proved that our proposed method based on Twin-SVM technique gives promising performances better than the state-of-the-art. This improvement can seriously reduce time, materials, and labor in healthcare services while increasing the final decision accuracy
Open Access
Efficient magneto-optical TE/TM mode converter in a hybrid structure made with a SiO2/ZrO2 layer coated on an ion-exchanged glass waveguide
(Université de M'sila, 2018) Bouras, Mounir
The TE-TM mode conversion is an important requirement for magneto-optical waveguide devices. In this work, we report on the theoretical study of magneto-optical waveguides on an ion-exchanged glass waveguide. This study explores the possibility to realize a mode converter TE-TM on a hybrid structure. This hybrid device is made by coating a SiO2/ZrO2 layer doped with magnetic nanoparticles on an ion-exchanged glass waveguide. It has been analyzed by means of a beam propagation method for numerical solution of the full-vectorial wave equation. We have also used the transparent boundary condition. The mode converters TE-TM based on the Faraday rotation and modal birefringence are then numerically simulated. Depending on the increasing of nanoparticles volume fraction in the SiO2/ZrO2 layer and on decreasing the modal birefringence of the hybrid structure, the TE-TM conversion efficiency varies from several percent to several tens of percent. © 2017 Published by Elsevier GmbH
Open Access
Efficient method for constructing optimized long binary spreading sequences
(Université de M'sila, 2021) Sabrina Boukerma
In this paper, we propose an efficient method for generating two types of novel optimized long binary spreading sequences (OLBSS) with improved autocorrelation function (ACF) properties. The first type is constructed from concatenated short binary subsequences belonging to the same code family, such as Walsh Hadamard and Gold subsequences, provided that their crosscorrelation functions (CCFs) have good properties. The second category uses the same subsequences but which are rather interlaced. Here, the number and size of the subsequences are related to the chosen length of the final constructed long sequence and the desired performances. The realization of the OLBSSs is achieved using two different optimization techniques, namely, the genetic algorithms (GAs) and particle swarm optimization (PSO) method. The simulation results, based on MATLAB tool, have shown that the proposed long sequences, composed of Walsh–Hadamard subsequences and optimized by the GA, have better ACF properties compared to the original Gold, Weil, and random sequences of the same length
Open Access
Estimators of compound Gaussian clutter with lognormal texture
(Université de M'sila, 2019) Izzeddine, Chalabi
Estimators of clutter models parameters based upon higher order moments estimator (HOME) produce usually poor results in particular for low sample sizes. In an attempt to remedy this situation, closed forms of [zlog(z)] and fractional order moments estimator (FOME) are derived in this work and yield a good estimation accuracy of parameters of the compound Gaussian clutter with log-normal texture (CG-LNT). Using simulated and real data, estimation comparisons show that best values of mean square error (MSE) and bias are achieved using the proposed procedures.
Open Access
Existence of high Faraday rotation and transmittance in magneto photonic crystals made by silica matrix doped with magnetic nanoparticles
(Université de M'sila, 2019) Nassim Dermeche; Mounir Bouras; Reza Abdi-Ghaleh; Ahmed Kahlouche; Abdesselam Hocini
This paper focuses on studying the potential of CoFe2O4-doped magnetic nanoparticles SiO2 / ZrO2 matrix to produce high-performance one-dimensional magnetophotonic crystals (MPC) and to solve the problem of integrating magneto-optical devices. Given the importance of the magneto- optical Faraday effecton most non-reciprocal optical components, we studied the influence of different 1D structures on Faraday rotations.The potential of these structures offers a wide range of applications in the field of miniaturized and integrated non-reciprocal devicessuch as isolators
Open Access
Experimental validation of adaptive RBFNN global fast dynamic terminal sliding mode control for twin rotor MIMO system against wind effects
(Université de M'sila, 2021) Mohammed Zinelaabidine Ghellab
In this paper, an Adaptive RBFNN global fast dynamic terminal sliding mode control (ARBFNNGFDTSMC) is designed to situate the main and tail angles of a twin rotor MIMO system (TRMS). The control objective is to stabilize the TRMS in a reference position or follow a predefined trajectory. An adaptive RBFNN has been used in order to identified unknown nonlinear dynamics of the TRMS. In addition, another adaptive control expressions has been added to diminish the wind gusts, external disturbance effects, and to compensate the estimation errors of the adaptive RBFNN. Moreover, the stability analysis in closed-loop is assured by using Lyapunov method. The developed controller is applied to the TRMS with cross coupling between tail and main subsystems without decoupling procedure. Experimental results prove the good control tracking performance in presence of wind gusts and external disturbances.
Open Access
First principles investigation of optoelectronic properties of ZnXP2 (X = Si, Ge) lattice matched with silicon for tandem solar cells applications using the mBJ exchange potential
(Université de M'sila, 2018) Bennacer, Hamza
II-IV-V2 materials are attractive compounds for optoelectronic, photonic and photovoltaic applications due to their valuable ternary chemistry. A primary technological challenge in photovoltaics is to find and develop a lattice matched efficient material to be used in combination with silicon for tandem solar cells. ZnSiP2 and ZnGeP2 chalcopyrites are promising semiconductors that could satisfy these criteria. Particularly, ZnSiP2 is known to have bandgap energy of ∼2 eV and a lattice mismatch with silicon of 0.5%. In this work, the first principle calculations have been performed to investigate the structural, electronic and optical properties of ZnSiP2 and ZnGeP2 in chalcopyrite structure within the Full Potential- Linearized Augmented Plane Wave (FP-LAPW) method based on the Density Functional Theory (DFT) as implemented in WIEN2K code. The local Density approximation (LDA) of Perdew and Wang was used as exchange-correlation potential to calculate the structural proprieties. Furthermore, the recently modified Becke-Johnson (mBJ) functional of Tran and Blaha was also employed to compute the electronic and optical properties in order to get best values of the band gap energy and some better degree of precision. The complex dielectric function, the complex refractive index, reflectivity, absorption coefficient, and the optical conductivity were calculated to illustrate the linear optical properties of both compounds ZnSiP2 and ZnGeP2. At last, the obtained results indicate that ZnSiP2 and ZnGeP2 are attractive materials in optoelectronic devices especially as a lattice matched material with silicon for tandem solar cells applications.
Open Access
Fuzzy Logic Based Broken Bar Fault Diagnosis and Behavior Study of Induction Machine
(Université de M'sila, 2021) Ibrahim Chouidira; Djalal Eddine Khodja; Salim Chakroune
This study aims to display fuzzy logic (FL) technique for diagnosis of fault induction machine. This allows monitoring of fuzzy information from different signals to give more accurate judgment on the health of the engine, through using a multi-winding model of induction machine for the simulation of broken bars. This model allows study the influence of defects and appear the behavior of the machine in the different modes of running conditions (healthy and fault). In this work, we focus the application of a fuzzy logic technique based on the fast Fourier transformation (FFT) by analyzing the stator current for fault detection. The results of the simulation obtained allowed us to show the importance of the fuzzy logic approach based on classification of signals for detecting the faulty.
Open Access
Geometrically tunable slow light based on a modified photonic crystal waveguide
(Université de M'sila, 2017) Mouhssin, Maache
In this paper, we have proposed a design for slow light in a modified photonic crystal waveguide by inserting reduced air holes along the middle of the waveguide with a half period of the lattice and by shifting the second rows of holes toward the center of the modified waveguide. A wideband slow light with a high group index and low group velocity dispersion has been achieved. A nearly constant group index of 21, 20, 35.5 and 65 over 20.3 nm, 15.6 nm, 9.5 nm, 5.3 nm bandwidth in the environment of 1550 nm, respectively, are also obtained.