312 research outputs found
Twelve shear surface waves guided by clamped/free boundaries in magneto-electro-elastic materials
It is shown that surface waves with twelve different velocities in the cases
of different magneto-electrical boundary conditions can be guided by the
interface of two identical magneto-electro-elastic half-spaces. The plane
boundary of one of the half-spaces is clamped while the plane boundary of the
other one is free of stresses. The 12 velocities of propagation of these
surface waves are obtained is explicit forms. It is shown that the number of
different surface wave velocities decreases from 12 to 2 if the
magneto-electro-elastic material is changed to a piezoelectric material.Comment: 7 pages, no figure
An Empirical Bayes Approach for Distributed Estimation of Spatial Fields
In this paper we consider a network of spatially distributed sensors which
collect measurement samples of a spatial field, and aim at estimating in a
distributed way (without any central coordinator) the entire field by suitably
fusing all network data. We propose a general probabilistic model that can
handle both partial knowledge of the physics generating the spatial field as
well as a purely data-driven inference. Specifically, we adopt an Empirical
Bayes approach in which the spatial field is modeled as a Gaussian Process,
whose mean function is described by means of parametrized equations. We
characterize the Empirical Bayes estimator when nodes are heterogeneous, i.e.,
perform a different number of measurements. Moreover, by exploiting the
sparsity of both the covariance and the (parametrized) mean function of the
Gaussian Process, we are able to design a distributed spatial field estimator.
We corroborate the theoretical results with two numerical simulations: a
stationary temperature field estimation in which the field is described by a
partial differential (heat) equation, and a data driven inference in which the
mean is parametrized by a cubic spline
Armenia's 'Middle Class': Stability Characteristics and the Challenge of Erosion
This article will give a systematic overview of the main features of the middle class in Armenia based on their self-perception as captured in representative surveys. Typically, respondents identifying themselves as 'middle class' mostly have a university-level education, are employed, and are young or middle-aged. Evidence of upward social and economic mobility and progress in life are other important factors for self-identification as 'middle class'. However, has stagnation set in? This article analyses the threats that might lead to the erosion of Armenia's middle class. A limited access to professional education and healthcare services, the precariousness of employment, and the many impediments to small- and middle-sized enterprise development were the most prominent threats identified in a number of sociological studies
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