We characterize the edge of chaos, the boundary which separates initial conditions which lead to chaotic behavior from those which directly decay to the laminar state, for a nine-dimensional shear flow model. This boundary is the eight-dimensional stable manifold of an unstable periodic orbit, whose properties are characterized. Furthermore, we compute the probability that perturbations of a gi...

Three methods are investigated to remove the concavity at the boundary edges and/or vertices during polyhedral mesh generation by a dual mesh method. The non-manifold elements insertion method is the first method examined. Concavity can be removed by inserting non-manifold surfaces along the concave edges and using them as an internal boundary before applying Delaunay mesh generation. Conical c...

In the present work, a neural-networks-based system is presented that makes it possible to reduce, when generating edge maps to be used in an object boundary detection problem, the number of edges that are not due to the object itself, but to the background. Starting from a conventional edge detection, the selection is carried out by a neuralnetworks-based classifier, which is trained using exa...

1 The flow properties at the leading edge of a flat plate represent a singularity to the Blasius laminar boundary layer equations; by applying the Lagrangian approach the leading edge velocity profiles of the laminar boundary layer over a flat plate are studied. Experimental observations as well as the theoretical analysis show an exact Gaussian distribution curve as the original starting profi...

Edge detection is a primary operation of most of the image processing applications such as image detection, boundary detection, image classification, image registration. Edge detection filters out less important information and preserve the structural properties of image.The Proposed technique uses ANFIS edge detector for edge detection on digital images. It involves a neuro fuzzy system with t...

A multi-direction fuzzy morphology algorithm, for image edge detection is proposed to deal with edge blur and inaccuracy of boundary localization. In the algorithm, two thresholds are selected to conduct image segmentation and image obtaining respectively, fuzzy enhancement for the image is adopted to resolve the loss of edge information and multi-directional structural elements are used to det...

determination of boundary surface structures is commonly used for data interpretation. horizontal and vertical derivatives are useful tool for determining the edges boundary. using horizontal and vertical derivative in signal analysis method; that is effective method for interpretation of edges boundary, have been used commercially.in acquisition potential field data, using different methods of...

We may then ask: Can we place bounds on g(m)? Can we characterize those subsets S which achieve the value of g(m)? Whereas in the case of vertex boundary, the optimal subsets S were found to be (near) Hamming balls, we shall see that for the edge isoperimetric problem these optimal sets are (near) subcubes. Because the problem of finding a set S with minimum edge boundary is dual to the problem...

Edge is an important feature of an image and provides important image information that can be used for image interpretation. Many techniques of edge detection have been developed. This paper proposes an adaptive edge detection to accurately detect the most affected part of Mycosis Fungoides skin disease image. In this paper, this new method overcomes some common disadvantages of some traditiona...

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 ...