Resumen. En este trabajo se presenta el uso de Cloud Computing como infraestructura de un sistema de gestión del aprendizaje (LMS). El objetivo principal es que el sistema soporte la atención a cientos de alumnos bajo la modalidad de enseñanza e-Learning en una Institución de Educación Superior (IES). Algunas de las arquitecturas reportadas se especializan en otros LMS como Moodle, otras se enf...

In this paper we present a technique for the design of decentralized controllers for mean square stability of a large scale systemwith cascaded clusters of subsystems. Each subsystem is linear and time-invariant and both system and measurement are subject to Gaussian noise. For stability analysis of this system we consider the effects of AdditiveWhite Gaussian Noise (AWGN) channels used for exc...

Let { X, }z 1 be a sequence of independent Bernoulli random variables with probability p that Xi = 1 and probability 4 = 1 p that X, = 0 for all i 2 1. Time-invariant finite-memory (i.e., finite-state) estimation procedures for the parameter p are considered which take X,, . as an input sequence. In particular, an n-state deterministic estimation procedure is described which can estimate p with...

In this paper, we propose an algorithm that automatically detects and removes moving logos in video. The proposed algorithm consists of logo detection, tracking and extraction, and removal. In the logo detection step, we automatically detect moving logos using the saliency map and the scale invariant feature transform. In the logo tracking and extraction step, an improved mean shift tracking me...

Estimation of the instantaneous frequency and its derivatives is considered for a harmonic signal with a time-varying phase and time-invariant amplitude. The asymptotic minimax lower bound is derived for the mean squared error of estimation provided that the phase is an arbitrary m-times piece-wise differentiable function of time. It is shown that this lower bound is different only in a constan...

We propose a new adaptive filtering algorithm whose convergence rate is very fast even for a highly correlated input signal. It is well-known that convergence rate gets worse when the input signal to an adaptive filter is correlated. Introducing an orthogonal constraint between successive input signal vectors makes us overcome the slow convergence caused by the correlated input signal. It is sh...

here, the concept of electric capacity on finsler spaces is introduced and the fundamentalconformal invariant property is proved, i.e. the capacity of a compact set on a connected non-compact finslermanifold is conformal invariant. this work enables mathematicians and theoretical physicists to become morefamiliar with the global finsler geometry and one of its new applications.

Unbiased estimation is an efficient alternative to optimal estimation when the noise statistics are not fully known and/or the model undergoes temporary uncertainties. In this paper, we investigate the effect of embedded unbiasedness (EU) on optimal finite impulse response (OFIR) filtering estimates of linear discrete time-invariant statespace models. A new OFIR-EU filter is derived by minimizi...

For a locally compact group G, we prove that a topological inner invariant mean on LUC(G) has an extension to a topological inner invariant mean on L∞(G). Mathematics Subject Classification: 43A07, 43A10

In this paper, we give connection between the order of the generalized Baer-invariant of a pair of finite groups and its factor groups, when ? is considered to be the specific variety. Moreover, we give a necessary and sufficient condition in which the generalized Baer-invariant of a pair of groups can be embedded into the generalized Baer-invariant of pair of its factor groups.