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Yasmina Bouchefra,Nasr-Eddine Chabane Sari 한국전기전자재료학회 2017 Transactions on Electrical and Electronic Material Vol.18 No.1
This work takes place in the context of the development of a transport phenomena simulation based on group IIInitrides. Gallium and boron nitrides (GaN and BN) are both materials with interesting physical properties; they havea direct band gap and are relatively large compared to other semiconductors. The main objective of this paper isto study the effect of boron content on the electron transport of the ternary compound BxGa(1-x)N and the effect ofthe temperature of this alloy at x=50% boron percentage, specifically the piezoelectric, acoustic, and polar opticalscatterings as a function of the energy, and the electron energy and drift velocity versus the applied electric fieldfor different boron compositions (BxGa(1-x)N), at various temperatures for B0.5Ga0.5N. Monte carlo simulation, wasemployed and the three valleys of the conduction band (Γ, L, X) were considered to be non-parabolic. We focus onthe interactions that do not significantly affect the behavior of the electron. Nevertheless, they are introduced toobtain a quantitative description of the electronic dynamics. We find that the form of the velocity-field characteristicchanges substantially when the temperature is increased, and a remarkable effect is observed from the boroncontent in BxGa(1-x)N alloy and the applied field on the dynamics of holders within the lattice as a result of interactionmechanisms.
Nominal Trajectories of an Autonomous Under-actuated Airship
Yasmina Bestaoui 대한전기학회 2006 International Journal of Control, Automation, and Vol.4 No.4
The objective of this paper is to generate a desired flight path to be followed by an autonomous airship. The space is supposed without obstacles. As there are six degrees of freedom and only three inputs for the LSC AS200 airship, three equality constraints appear due to the under-actuation.
Financial Development Impact on Firm Dynamic Creation: Panel Data Evidence on MENA Countries
Yasmina Ghanem,Mohamed Achouche 한국국제경제학회 2017 International Economic Journal Vol.31 No.1
Using a panel of 14 MENA countries, this paper investigates and examines whether financial development trains a substantial effect on entrepreneurship development by facilitating the rise of new firms. Generalized Two-Stage Least Squares estimate results with instrumental variables highlight the relevance of developed financial systems for the creation of new firms. In overall, financial development and its component explained by the institutional quality exert a positive and significant effect on new entry density in oil MENA countries compared to non-oil ones.
( Yasmina Teldja Amghar ),( Hadria Fizazi ) 한국정보처리학회 2017 Journal of information processing systems Vol.13 No.2
Foraging is a biological process, where a bacterium moves to search for nutriments, and avoids harmful substances. This paper proposes a hybrid approach integrating the bacterial foraging optimization algorithm (BFOA) in a radial basis function neural network, applied to image classification, in order to improve the classification rate and the objective function value. At the beginning, the proposed approach is presented and described. Then its performance is studied with an accent on the variation of the number of bacteria in the population, the number of reproduction steps, the number of elimination-dispersal steps and the number of chemotactic steps of bacteria. By using various values of BFOA parameters, and after different tests, it is found that the proposed hybrid approach is very robust and efficient for several-image classification.
Survey of Artificial Intelligence Approaches in Cognitive Radio Networks
Morabit, Yasmina EL,Mrabti, Fatiha,Abarkan, El Houssein The Korea Institute of Information and Commucation 2019 Journal of information and communication convergen Vol.17 No.1
This paper presents a comprehensive survey of various artificial intelligence (AI) techniques implemented in cognitive radio engine to improve cognition capability in cognitive radio networks (CRNs). AI enables systems to solve problems by emulating human biological processes such as learning, reasoning, decision making, self-adaptation, self-organization, and self-stability. The use of AI techniques is studied in applications related to the major tasks of cognitive radio including spectrum sensing, spectrum sharing, spectrum mobility, and decision making regarding dynamic spectrum access, resource allocation, parameter adaptation, and optimization problem. The aim is to provide a single source as a survey paper to help researchers better understand the various implementations of AI approaches to different cognitive radio designs, as well as to refer interested readers to the recent AI research works done in CRNs.
Bouchefra, Yasmina,Sari, Nasr-Eddine Chabane The Korean Institute of Electrical and Electronic 2017 Transactions on Electrical and Electronic Material Vol.18 No.1
This work takes place in the context of the development of a transport phenomena simulation based on group III nitrides. Gallium and boron nitrides (GaN and BN) are both materials with interesting physical properties; they have a direct band gap and are relatively large compared to other semiconductors. The main objective of this paper is to study the effect of boron content on the electron transport of the ternary compound $B_xGa_{(1-x)}N$ and the effect of the temperature of this alloy at x=50% boron percentage, specifically the piezoelectric, acoustic, and polar optical scatterings as a function of the energy, and the electron energy and drift velocity versus the applied electric field for different boron compositions ($B_xGa_{(1-x)}N$), at various temperatures for $B_{0.5}Ga_{0.5}N$. Monte carlo simulation, was employed and the three valleys of the conduction band (${\Gamma}$, L, X) were considered to be non-parabolic. We focus on the interactions that do not significantly affect the behavior of the electron. Nevertheless, they are introduced to obtain a quantitative description of the electronic dynamics. We find that the form of the velocity-field characteristic changes substantially when the temperature is increased, and a remarkable effect is observed from the boron content in $B_xGa_{(1-x)}N$ alloy and the applied field on the dynamics of holders within the lattice as a result of interaction mechanisms.
Amghar, Yasmina Teldja,Fizazi, Hadria Korea Information Processing Society 2017 Journal of information processing systems Vol.13 No.2
Foraging is a biological process, where a bacterium moves to search for nutriments, and avoids harmful substances. This paper proposes a hybrid approach integrating the bacterial foraging optimization algorithm (BFOA) in a radial basis function neural network, applied to image classification, in order to improve the classification rate and the objective function value. At the beginning, the proposed approach is presented and described. Then its performance is studied with an accent on the variation of the number of bacteria in the population, the number of reproduction steps, the number of elimination-dispersal steps and the number of chemotactic steps of bacteria. By using various values of BFOA parameters, and after different tests, it is found that the proposed hybrid approach is very robust and efficient for several-image classification.