This paper continues with the subject matter that we introduced previously (Krishnamurti and Stouffs, 2004). Here, we describe algorithms for classifying the boundary of a shape with respect to another, coequal, shape and for constructing the description of a shape given parts of the boundary that make up the shape. Specifically, algorithms for classification and construction of shapes in U23 (...

In this paper, using annular resonator we have designed an adding and dropping filter light based ontwo-dimensional photonic crystals. The shape of ring resonator filter adding and dropping that wehave proposed is Race Track. This filter has a hexagonal lattice structure of silicon bars withrefractive index 3/46 that is located in the context of air with refractive index 1. Transmissionefficien...

{ erw = Ae(uw), e(uw) = 21-(VUw + V u T ) , div ~rw = 0 in co, erw.n = f on 0f2, O'w.n = 0 on Ow\OQ, (1) where uw is the displacement vector, e(uw) is the strain tensor, and o-w is the stress tensor. The compliance of the structure is defined by 1 I n t r o d u c t i o n Solving structural optimization problems by the homogenization method, amounts to find extremal microstructures which maximiz...

conclusion this study has highlighted the anatomical variations of npc regarding its dimension, location and morphological appearance. cylindrical was the most common shape followed by funnel-shape, hourglass, and spindle, which were the other canal shapes with less frequency, respectively. the results suggest significant relationship between npc, and gender and dental status. the influence of ...

Shape Delaunay tessellations are a generalization of the classical Delaunay triangulation of a finite set of points in the plane, where the empty circle condition is replaced by emptiness of an arbitrary convex compact shape. We present some new and basic properties of shape Delaunay tessellations, concerning flipping, subgraph structures, and recognition.

{ erw = Ae(uw), e(uw) = 21-(VUw + V u T ) , div ~rw = 0 in co, erw.n = f on 0f2, O'w.n = 0 on Ow\OQ, (1) where uw is the displacement vector, e(uw) is the strain tensor, and o-w is the stress tensor. The compliance of the structure is defined by 1 I n t r o d u c t i o n Solving structural optimization problems by the homogenization method, amounts to find extremal microstructures which maximiz...

This paper presents a simple, flexible, and efficient algorithm for constructing a possibly non-convex, simple polygon that characterizes the shape of a set of input points in the plane, termed a characteristic shape. The algorithm is based on the Delaunay triangulation of the points. The shape produced by the algorithm is controlled by a single normalized parameter, which can be used to genera...

{ erw = Ae(uw), e(uw) = 21-(VUw + V u T ) , div ~rw = 0 in co, erw.n = f on 0f2, O'w.n = 0 on Ow\OQ, (1) where uw is the displacement vector, e(uw) is the strain tensor, and o-w is the stress tensor. The compliance of the structure is defined by 1 I n t r o d u c t i o n Solving structural optimization problems by the homogenization method, amounts to find extremal microstructures which maximiz...

In this paper, we present a non-parametric form-finding method for designing the minimal surface, or the uniformly tensioned surface of membrane structures with arbitrary specified boundaries. The area minimization problems are formulated as distributed-parameter shape optimization problems, and solved numerically. The internal volume or the perimeter is added as the constraints according to th...

Structural scene understanding is an interconnected process wherein modules for object detection and supporting structure detection need to co-operate in order to extract cross-correlated information, thereby utilizing the maximum possible information rendered by the scene data. Such an inter-linked framework provides a holistic approach to scene understanding, while obtaining the best possible...