Etude technico-économique d’un système hybride (aérogénérateur et moteur diesel) pour la production d’électricité.

Technico-economic study of a hybrid system (Aerogenerator and Diesel engine) for the electricity productionIn this article one is interested in the technico-economic study of a hybrid system (aerogenerator and Diesel engine) on the site of Tlemcen by using the data of measurement of the stations of the ONM (National office of Meteorology), one evaluates the annual aver  age power available on the site as well as the annual average power provided by the aerogenerator and the diesel engine thus the determination of the number of hearths which can be to feed in electric power finally this study continues with an economic aspect because the development of the aerogenerators and the diesel engines come under the technical field but also of the economic field, so that the production of electrical energy is viable that is to say less low than that of that produced by a Diesel engine or a turbine, the output and the cost are two factors dependent between them. The viability of the installation would be little interest for an output and a cost of high cost or for an output and a weak cost of cost

Neural Networks for Synthesis and Optimization of Antenna Arrays

This paper describes a usual application of back-propagation neural networks for synthesis and optimization of antenna array. The neural network is able to model and to optimize the antennas arrays, by acting on radioelectric or geometric parameters and by taking into account predetermined general criteria. The neural network allows not only establishing important analytical equations for the optimization step, but also a great flexibility between the system parameters in input and output. This step of optimization becomes then possible due to the explicit relation given by the neural network. According to different formulations of the synthesis problem such as acting on the feed law (amplitude and/or phase) and/or space position of the radiating sources, results on antennas arrays synthesis and optimization by neural networks are presented and discussed. However ANN is able to generate very fast the results of synthesis comparing to other approaches

Effects due to a scalar coupling on the particle-antiparticle production in the Duffin-Kemmer-Petiau theory

The Duffin-Kemmer-Petiau formalism with vector and scalar potentials is used to point out a few misconceptions diffused in the literature. It is explicitly shown that the scalar coupling makes the DKP formalism not equivalent to the Klein-Gordon formalism or to the Proca formalism, and that the spin-1 sector of the DKP theory looks formally like the spin-0 sector. With proper boundary conditions, scattering of massive bosons in an arbitrary mixed vector-scalar square step potential is explored in a simple way and effects due to the scalar coupling on the particle-antiparticle production and localization of bosons are analyzed in some detail

Artificial Neural Networks to aid defferentiation of Benign and Malignant Breast Tumors by Microwave Imaging

In this paper, we propose a method for discriminating between malignant and benign breast tumors, by exploiting the dielectric properties of these tumors. The proposed technique is based on neural networks approach. Simulation results are presented on a model developed using EM simulator (CST)

Flt3 Ligand Regulates Dendritic Cell Development from Flt3+ Lymphoid and Myeloid-committed Progenitors to Flt3+ Dendritic Cells In Vivo

Stimulation of Flt3 receptor tyrosine kinase through its cognate ligand expands early hematopoietic progenitor and dendritic cells (DCs) in humans and mice. The exact developmental stages at which hematopoietic progenitors express Flt3, are responsive to its ligand, and subsequently develop to DCs, are not known. Here we show that common lymphoid and common myeloid progenitors, as well as steady state DCs in thymus, spleen, and epidermis, express Flt3. The receptor is down-regulated once definitive B cell, T cell, and megakaryocyte/erythrocyte commitment occurs, and Flt3 is not detectable on other steady state hematopoietic cell populations. Upon in vivo Flt3 ligand (Flt3L) administration, Flt3+ progenitor cells and their progeny DCs are expanded, whereas Flt3− downstream progenitors are not, or are only slightly increased. Transplantation of common lymphoid and common myeloid progenitors and subsequent Flt3L injection increases progeny DCs of both precursor populations. These findings provide a definitive map of Flt3 expression in the hematopoietic hierarchy and directly demonstrate that Flt3L can drive DC development along both the lymphoid and myeloid developmental pathways from Flt3+ progenitors to Flt3+ DCs

Input Frequencies Optimization Based on Genetic Algorithm for Maximal Mutual Information

Among encountered problems in digital and analog communications, there is mismatch between canals and sources. As regards theory of information, unfortunately, this mismatch found expression in information loss during transfer to reception side. In order to settle the problem, the solution consists in adjustment of probability law at source so that we maximize the mean mutual information. For a little number of symbols, either at emission or at reception, the work can be done analytically with some difficulties. Unfortunately, the problem have tendency to become more and more difficult and complicated as number of symbols increases. In this case and as alternative, we propose a non-traditional optimization method, namely genetic algorithm, which will express, with regard to our problem, all its efficiency through this paper with some conclusive applications

Microstrip antennas array Design Using Genetic algorithms and Simulated Annealing

This publication presents two new approaches of design microstrip antennas array. First is based on the technique of the genetic algorithms inspired from the processes of the evolution of the species and the natural genetics and the second based on the analogy between the resolution of the combinative problems of optimization and the annealing of the solids. These two approaches permits to seek simultaneous the law of optimal feed and the space distribution of the radiant elements so that the radiation pattern is as close as possible to an optimal desired diagram specified from a function or a pattern shape.Cette publication présente deux nouvelles approches de conception de réseaux d'antennes imprimées. La première est basée sur la technique des algorithmes génétiques inspirée des processus de l'évolution des espèces et de la génétique naturelle et la deuxième sur l'analogie entre la résolution des problèmes d'optimisation combinatoire et le recuit des solides. Ces deux approches permettent de rechercher simultanément la loi d'alimentation optimale et la répartition spatiale des éléments rayonnants pour que le diagramme de directivité du réseau soit aussi proche que possible d'un diagramme désiré optimal spécifié à partir d'une fonction ou d'un gabarit

Lymph-migrating, tissue-derived dendritic cells are minor constituents within steady-state lymph nodes

Observations that dendritic cells (DCs) constitutively enter afferent lymphatic vessels in many organs and that DCs in some tissues, such as the lung, turnover rapidly in the steady state have led to the concept that a major fraction of lymph node DCs are derived from migratory DCs that enter the lymph node through upstream afferent lymphatic vessels. We used the lysozyme M–Cre reporter mouse strain to assess the relationship of lymph node and nonlymphoid organ DCs. Our findings challenge the idea that a substantial proportion of lymph node DCs derive from the upstream tissue during homeostasis. Instead, our analysis suggests that nonlymphoid organ DCs comprise a major population of DCs within lymph nodes only after introduction of an inflammatory stimulus

Klein's Paradox

We solve the one dimensional Feshbach-Villars equation for spin-1/2 particle subjected to a scalar smooth potential. The eight component wave function is given in terms of the hypergeometric functions and via a limiting procedure, the wave functions of the step potential are deduced. These wave functions are used to test the validity of the boundary conditions deduced from the Feshbach-Villars transformation. The creation of pairs is predicted from the boundary condition of the charge density.Comment: 18 pages, Latex, another title has been used in the published versio

Spectrum of the Relativistic Particles in Various Potentials

We extend the notion of Dirac oscillator in two dimensions, to construct a set of potentials. These potentials becomes exactly and quasi-exactly solvable potentials of non-relativistic quantum mechanics when they are transformed into a Schr\"{o}dinger-like equation. For the exactly solvable potentials, eigenvalues are calculated and eigenfunctions are given by confluent hypergeometric functions. It is shown that, our formulation also leads to the study of those potentials in the framework of the supersymmetric quantum mechanics