We introduce a new family of metrics for graphs of fixed size, based on counting-independent sets. Our definition is simpler and easier to calculate than the edge ideal metric family defined by Llabrés and Rosselló without loosing any of its abstract properties. We contrast them on some examples with graphs that represent protein secondary and three-dimensional (3D) structures. We conclude that...

Let JG denote the binomial edge ideal of a connected undirected graph on n vertices. This is the ideal generated by the binomials xiyj − xjyi, 1 ≤ i < j ≤ n, in the polynomial ring S = K[x1, . . . , xn, y1, . . . , yn] where {i, j} is an edge of G. We study the arithmetic properties of S/JG for G, the complete bipartite graph. In particular we compute dimensions, depths, Castelnuovo-Mumford reg...

(b) There are several ways to construct linear-phase FIR filters, including windowing the IDTFT of an ideal response, but in order to ensure a minimax-optimal filter (i.e., a filter that minimizes the maximum deviation from a piecewise-constant ideal specification), the way we know is via the Parks-McClellan approach. In fact. this filter was designed in Matlab as: >> h = firpm(8, [0 0.55 0.65 ...

A modified ant-based edge detector is presented. It is based on the distribution of ants on an image. Ants try to find possible edges by using a heuristic function based on 3x3 ideal edge structures. Visual comparisons show that the modified algorithm gives finer details and thinner edges at lesser computational times when compared to earlier ant-based approaches. When compared to standard edge...

Image intensity shows abrupt changes at edges. So some typical edge detection operators are proposed by computing of local first or second derivative operate, such as Roberts, Prewitt, Sobel, LOG, Kirsh, etc. But several practices show that these typical operators are not ideal, and they can’t meet people’s demand for edge detection accuracy. Therefore, it is necessary to find some better metho...

Estimation of edge features in an image (sub-pixel position, direction, curvature and change in intensity at both sides of the edge) starting from the calculus of the gradient vector in each pixel is not exact, even in ideal images. In this paper we present a new edge detector based on an edge and adquisition model that does not assume continuity in the image values. Edge features are obtained ...

The secondary edge source line integral formulation for diffraction modeling uses edge sources with a 1/r dependency, in addition to a directivity function. At first sight, this might seem to contradict the expected 1/r behavior for the gradient near the edge of a thin screen. An analysis is presented for the special case of perpendicular plane wave incidence onto a thin screen, which shows tha...

For steady state H-mode operation, a relaxation mechanism is required to limit build-up of the edge gradient and impurity content. C-Mod sees two such mechanisms-EDA and grassy ELMs, but not large type I ELMs. In EDA the edge relaxation is provided by an edge localized quasicoherent electromagnetic mode that exists at moderate pedestal temperature T< 400 eV, high pedestal density and high edge ...

Lead Management Dialer App for your CRM Manage LeadsFor Ideas Inspiration To Create Your Ideal Home, Visit Inside Out!online expo for manufacturers of the automation robotics industry14 Feb 2006. The main subjects in this book relate to software development using cutting-edge technologies for real-world industrial automation applications.The main subjects in this book relate to software develop...