Publications

2018
Bouali K, KADID FZ, Abdessemed R, TalebAhmed A, Toumi A. Modeling and Optimization of the Magnetohydrodynamic Conduction Pump by Particle Swarm Method. Journal of Applied Fluid Mechanics, Available online at www.jafmonline.net, ISSN 1735-3572, EISSN 1735-3645. DOI: 10.18869/acadpub.jafm.73.246.28478Journal of Applied Fluid Mechanics, Available online at www.jafmonline.net, ISSN 1735-3572, EISSN 1735-3645. 2018;11 :689-694.
Bouali K, KADID FZ, Abdessemed R, TalebAhmed A, Toumi A. Modeling and Optimization of the Magnetohydrodynamic Conduction Pump by Particle Swarm Method. Journal of Applied Fluid Mechanics, Available online at www.jafmonline.net, ISSN 1735-3572, EISSN 1735-3645. DOI: 10.18869/acadpub.jafm.73.246.28478Journal of Applied Fluid Mechanics, Available online at www.jafmonline.net, ISSN 1735-3572, EISSN 1735-3645. 2018;11 :689-694.
Bouali K, KADID FZ, Abdessemed R, TalebAhmed A, Toumi A. Modeling and Optimization of the Magnetohydrodynamic Conduction Pump by Particle Swarm Method. Journal of Applied Fluid Mechanics, Available online at www.jafmonline.net, ISSN 1735-3572, EISSN 1735-3645. DOI: 10.18869/acadpub.jafm.73.246.28478Journal of Applied Fluid Mechanics, Available online at www.jafmonline.net, ISSN 1735-3572, EISSN 1735-3645. 2018;11 :689-694.
Bouali K, KADID FZ, Abdessemed R, TalebAhmed A, Toumi A. Modeling and Optimization of the Magnetohydrodynamic Conduction Pump by Particle Swarm Method. Journal of Applied Fluid Mechanics, Available online at www.jafmonline.net, ISSN 1735-3572, EISSN 1735-3645. DOI: 10.18869/acadpub.jafm.73.246.28478Journal of Applied Fluid Mechanics, Available online at www.jafmonline.net, ISSN 1735-3572, EISSN 1735-3645. 2018;11 :689-694.
Yousfi A, Dibi Z, Guermoui M, Aissi S. Modeling and Simulation of Double Gate Field Plate In0.2Ga0.8 As/Al0.3 Ga0.7 as HEMT using Gaussian Process Regression for Sensor Application. Research Journal of Applied Sciences, Engineering and Technology, Vol. 14, no3, pp. 112-118, 2017.DOI:10.19026/rjaset.14.4153ISSN: 2040-7459e-ISSN: 2040-7467Research Journal of Applied Sciences, Engineering and Technology, Vol. 14, no3, pp. 112-118, 2017. 2018;14 :112-118.Abstract
We propose a new approach for modeling a High Electron Mobility Transistor (HEMT) using that of Gaussian Process Regression one (GPR), to improve the current-voltage characteristics of HEMT transistor for using in electronic and biological domain or any other domain that needs it. The study and development of a new Atlas Silvaco device are taking into account the impact of several geometric and electric parameters; we focus on the electrical performances of the double gate field plate In0.2Ga0.8As/Al0.3Ga0.7As HEMT including double heterostructure; we compare the numerical simulation using 2D Atlas Silvaco simulator with the extracted experimental results. Then we validate our model by GPR approach. The GPR approach opens promising opportunities for devices modeling without knowing too much the device physics properties. The obtained results give better performances which lead to fabricate devices with better electrical properties for promoting further investigation.
Yousfi A, Dibi Z, Guermoui M, Aissi S. Modeling and Simulation of Double Gate Field Plate In0.2Ga0.8 As/Al0.3 Ga0.7 as HEMT using Gaussian Process Regression for Sensor Application. Research Journal of Applied Sciences, Engineering and Technology, Vol. 14, no3, pp. 112-118, 2017.DOI:10.19026/rjaset.14.4153ISSN: 2040-7459e-ISSN: 2040-7467Research Journal of Applied Sciences, Engineering and Technology, Vol. 14, no3, pp. 112-118, 2017. 2018;14 :112-118.Abstract
We propose a new approach for modeling a High Electron Mobility Transistor (HEMT) using that of Gaussian Process Regression one (GPR), to improve the current-voltage characteristics of HEMT transistor for using in electronic and biological domain or any other domain that needs it. The study and development of a new Atlas Silvaco device are taking into account the impact of several geometric and electric parameters; we focus on the electrical performances of the double gate field plate In0.2Ga0.8As/Al0.3Ga0.7As HEMT including double heterostructure; we compare the numerical simulation using 2D Atlas Silvaco simulator with the extracted experimental results. Then we validate our model by GPR approach. The GPR approach opens promising opportunities for devices modeling without knowing too much the device physics properties. The obtained results give better performances which lead to fabricate devices with better electrical properties for promoting further investigation.
Yousfi A, Dibi Z, Guermoui M, Aissi S. Modeling and Simulation of Double Gate Field Plate In0.2Ga0.8 As/Al0.3 Ga0.7 as HEMT using Gaussian Process Regression for Sensor Application. Research Journal of Applied Sciences, Engineering and Technology, Vol. 14, no3, pp. 112-118, 2017.DOI:10.19026/rjaset.14.4153ISSN: 2040-7459e-ISSN: 2040-7467Research Journal of Applied Sciences, Engineering and Technology, Vol. 14, no3, pp. 112-118, 2017. 2018;14 :112-118.Abstract
We propose a new approach for modeling a High Electron Mobility Transistor (HEMT) using that of Gaussian Process Regression one (GPR), to improve the current-voltage characteristics of HEMT transistor for using in electronic and biological domain or any other domain that needs it. The study and development of a new Atlas Silvaco device are taking into account the impact of several geometric and electric parameters; we focus on the electrical performances of the double gate field plate In0.2Ga0.8As/Al0.3Ga0.7As HEMT including double heterostructure; we compare the numerical simulation using 2D Atlas Silvaco simulator with the extracted experimental results. Then we validate our model by GPR approach. The GPR approach opens promising opportunities for devices modeling without knowing too much the device physics properties. The obtained results give better performances which lead to fabricate devices with better electrical properties for promoting further investigation.
Yousfi A, Dibi Z, Guermoui M, Aissi S. Modeling and Simulation of Double Gate Field Plate In0.2Ga0.8 As/Al0.3 Ga0.7 as HEMT using Gaussian Process Regression for Sensor Application. Research Journal of Applied Sciences, Engineering and Technology, Vol. 14, no3, pp. 112-118, 2017.DOI:10.19026/rjaset.14.4153ISSN: 2040-7459e-ISSN: 2040-7467Research Journal of Applied Sciences, Engineering and Technology, Vol. 14, no3, pp. 112-118, 2017. 2018;14 :112-118.Abstract
We propose a new approach for modeling a High Electron Mobility Transistor (HEMT) using that of Gaussian Process Regression one (GPR), to improve the current-voltage characteristics of HEMT transistor for using in electronic and biological domain or any other domain that needs it. The study and development of a new Atlas Silvaco device are taking into account the impact of several geometric and electric parameters; we focus on the electrical performances of the double gate field plate In0.2Ga0.8As/Al0.3Ga0.7As HEMT including double heterostructure; we compare the numerical simulation using 2D Atlas Silvaco simulator with the extracted experimental results. Then we validate our model by GPR approach. The GPR approach opens promising opportunities for devices modeling without knowing too much the device physics properties. The obtained results give better performances which lead to fabricate devices with better electrical properties for promoting further investigation.
Belkebir A, Aggoune MS. Modeling and Simulation of Inductively Coupled Plasma (ICP). Eighth International Conference On Advances in Computing, Electronics and Electrical Technology - CEET 2018 [Internet]. 2018. Publisher's VersionAbstract

The purpose of this paper is to present a simplified model of inductively coupled plasma (ICP). The study of the effect of parameters such as current and number of turns in the coil is simulated using Comsol Multiphysics 3.5 by applying the fluid dynamic models that are generally appropriate for the investigation of inductively coupled plasmas.

Belkebir A, Aggoune MS. Modeling and Simulation of Inductively Coupled Plasma (ICP). Eighth International Conference On Advances in Computing, Electronics and Electrical Technology - CEET 2018 [Internet]. 2018. Publisher's VersionAbstract

The purpose of this paper is to present a simplified model of inductively coupled plasma (ICP). The study of the effect of parameters such as current and number of turns in the coil is simulated using Comsol Multiphysics 3.5 by applying the fluid dynamic models that are generally appropriate for the investigation of inductively coupled plasmas.

Srairi F, Saidi L, Hassam A. Modeling Control and Optimization of a New Swimming Microrobot Using Flatness-Fuzzy-Based Approach for Medical Applications. Arabian Journal for Science and EngineeringArabian Journal for Science and Engineering. 2018;43 :3249-3258.
Srairi F, Saidi L, Hassam A. Modeling Control and Optimization of a New Swimming Microrobot Using Flatness-Fuzzy-Based Approach for Medical Applications. Arabian Journal for Science and EngineeringArabian Journal for Science and Engineering. 2018;43 :3249-3258.
Srairi F, Saidi L, Hassam A. Modeling Control and Optimization of a New Swimming Microrobot Using Flatness-Fuzzy-Based Approach for Medical Applications. Arabian Journal for Science and EngineeringArabian Journal for Science and Engineering. 2018;43 :3249-3258.
Amrane M, Messast S. Modeling the behavior of geotechnical constructions under cyclic loading with a numerical approach based on j. lemaitre model. Indian Geotechnical JournalIndian Geotechnical Journal. 2018;48 :520-528.
Amrane M, Messast S. Modeling the behavior of geotechnical constructions under cyclic loading with a numerical approach based on j. lemaitre model. Indian Geotechnical JournalIndian Geotechnical Journal. 2018;48 :520-528.
Assia A. Modélisation Aérodynamique Des Blocs Opératoires. 3ème conférence internationale d’infectiologie . 2018.
FARID CHIBA. Modélisation de la propagation des micro-ondes acoustiques dans les matériaux piézoélectriques. 2018.
Redouane KHEDRI. Modélisation et simulation sous ʺsimulinkʺ du broutement lors d’une opération de fraisage de profil en utilisant un modèle de force de coupe prédictive. 2018.
Marir B, KALLA M, Douak F, Daamouche A. A modular support vector machine for active learning of urban remote sensing images classification in Algeria. Journal of the Indian Society of Remote SensingJournal of the Indian Society of Remote Sensing. 2018;46 :515-529.
Marir B, KALLA M, Douak F, Daamouche A. A modular support vector machine for active learning of urban remote sensing images classification in Algeria. Journal of the Indian Society of Remote SensingJournal of the Indian Society of Remote Sensing. 2018;46 :515-529.

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