Segregation measures are useful tools for the analysis of patterns, causes and effects of residential segregation. However, most of empirical segregation studies have employed nonspatial and global measures. In other words, the measures so far applied are unable to consider the spatial arrangement of population and to show how much each areal unit contributes to the segregation degree of the wh...

We demonstrate what is, to the best of our knowledge, the first electronically controlled variable focus lens (ECVFL)-based sensor for remote object shape sensing. Using a target illuminating laser, the axial depths of the shape features on a given object are measured by observing the intensity profile of the optical beam falling on the object surface and tuning the ECVFL focal length to form a...

Commonly, factor analysis is a method for dimension reduction: it reduces the dimension of the original space by representing the full matrix as the product of two much smaller matrices plus random noise. We are able to model the variability among the observed variables by projection from a high dimensional space to a low dimensional one, such from 3D to 2D as shown in Figure 1(a). To do this, ...

in this article, a numerical approximation to the solution of the newell-whitehead equation (nwe) and cauchy problem of ill-posed non-linear diffusion equation have been studied. the presented scheme is obtained by using the derivative of the cubic b-spline quasi-interpolation (bsqi) to approximate the spatial derivative of the dependent variable and first order forward difference to approximat...

It is widely acknowledged that pronunciations in spontaneous speech di er signi cantly from citation form. For this reason, pronunciation modeling has received considerable attention in recent automatic speech recognition literature. Most of the attention however has focussed on describing an alternate pronunciation as a di erent sequence of phonetic units using the same inventory of phones whi...

Ongoing interactions among cortical neurons often manifest as network-level synchrony. Understanding the spatiotemporal dynamics of such spontaneous synchrony is important because it may (1) influence network response to input, (2) shape activity-dependent microcircuit structure, and (3) reveal fundamental network properties, such as an imbalance of excitation (E) and inhibition (I). Here we de...

We propose a Bayesian model for mixed ordinal and continuous multivariate data to evaluate a latent spatial Gaussian process. Our proposed model can be used in many contexts where mixed continuous and discrete multivariate responses are observed in an effort to quantify an unobservable continuous measurement. In our example, the latent, or unobservable measurement is wetland condition. While pr...

A new technique for Brillouin scattering-based, distributed fiber-optic measurements of temperature and strain is proposed, analyzed, simulated, and demonstrated. Broadband Brillouin pump and signal waves are drawn from the filtered amplified spontaneous emission of an erbium-doped fiber amplifier, providing high spatial resolution. The reconstruction of the position-dependent Brillouin gain sp...