Diseño de un array de antenas en tecnología microstrip

[ES]Este trabajo de fin de grado trata sobre el diseño de un array de antenas en tecnología microstrip para ser utilizado en la banda de 5 GHz del estándar de tecnologías inalámbricas IEEE 802.11a. Se buscará aplicar la teoría de arrays para conseguir la mayor ganancia posible, pero al mismo tiempo tratando de obtener un gran ancho de banda para que la antena sea óptima dentro de la mayor parte posible de la banda especificada. El proyecto partirá de un único parche microstrip para posteriormente ir evolucionando el diseño hasta llegar a un array de 2x2 elementos. Al primer diseño se le irán añadiendo progresivamente todos los componentes necesarios (red de adaptación, desfasadores, mayor número de parches, etc.) para poder ir estudiando las simulaciones a la vez que el diseño progresa. Todos los diseños se realizarán con el software ADS (Advanced Design System) de la compañía Agilent Technologies. Finalmente se fabricará el array diseñado y se medirá para contrastarlo con las simulaciones.

Failure detectors and communication efficiency in the crash and general omisión failure models

122 p.

Evidence of dopant type-inversion and other radiation damage effects of the CDF silicon detectors

xix, 213 p.

Spectroscopic analysis of atoms and molecules

151 p.

On the Stability and Equilibrium Points of Multistaged SI (n) R Epidemic Models

This paper relies on the concept of next generation matrix defined ad hoc for a new proposed extended SEIR model referred to as SI(n)R-model to study its stability. The model includes n successive stages of infectious subpopulations, each one acting at the exposed subpopulation of the next infectious stage in a cascade global disposal where each infectious population acts as the exposed subpopulation of the next infectious stage. The model also has internal delays which characterize the time intervals of the coupling of the susceptible dynamics with the infectious populations of the various cascade infectious stages. Since the susceptible subpopulation is common, and then unique, to all the infectious stages, its coupled dynamic action on each of those stages is modeled with an increasing delay as the infectious stage index increases from 1 to n. The physical interpretation of the model is that the dynamics of the disease exhibits different stages in which the infectivity and the mortality rates vary as the individual numbers go through the process of recovery, each stage with a characteristic average time.