نتایج جستجو برای: shape functions

تعداد نتایج: 669316  

Journal: :Journal of Functional Analysis 1994

A Modarakar Haghighi M Zakeri, R Attarnejad

This paper aims at presenting a new efficient element for free vibration and instability analysis of Axially Functionally Graded Materials (FGMs) non-prismatic beams using Finite Element Method (FEM). Using concept of Basic Displacement Functions (BDFs), two- node element extends  to three-node element for obtaining much more exact results using FEM. First, BDFs are introduced and computed usin...

Journal: :Математички билтен/BULLETIN MATHÉMATIQUE DE LA SOCIÉTÉ DES MATHÉMATICIENS DE LA RÉPUBLIQUE MACÉDOINE 2013

Journal: :journal of optimization in industrial engineering 2015
mohammad saber fallah nezhad batul rasti

in this paper, a bayesian approach is proposed for shift point detection in an inverse gaussian distribution. in this study, the mean parameter of inverse gaussian distribution is assumed to be constant and shift points in shape parameter is considered. first the posterior distribution of shape parameter is obtained. then the bayes estimators are derived under a class of priors and using variou...

2010
Carlos F. S. Volotão Rafael D. C. Santos Guaraci J. Erthal Luciano V. Dutra

The goal of image segmentation is to separate objects from a cluttered background. It is an important step on the identification of shapes contained in the image. A turning function is a 1D shape signature and can be used as a 2D shape representation. We propose a way to identify and modify classes of shapes by operating directly on the turning function space. In this work we present a formal d...

2005
Scott Pratt S. Pratt

The ability to measure characteristics of source shapes using nonidentical particle correlations is discussed. Both strong-interaction induced and Coulomb induced correlations are shown to provide sensitivity to source shapes. By decomposing correlation functions with spherical or Cartesian harmonics, details of the shapes can be especially well isolated.

Journal: :IET Image Processing 2015
Muayed S. Al-Huseiny Sasan Mahmoodi

This study presents a fast algorithm for the registration of shapes implicitly represented by their characteristic functions. The algorithm proposed here aims to recover the registration parameters (scaling, rotation and translation) by minimising a dissimilarity term between the two shapes. The proposed algorithm is based on phase correlation and statistical shape moments to compute the regist...

2004
Jiawang Nie James W. Demmel

We show how to optimize the shape of the transfer function of a linear time invariant (LTI) single-input-single-output (SISO) system. Since any transfer function is rational, this can be formulated as an optimization problem for the coefficients of polynomials. After characterizing the cone of polynomials which are nonnegative on intervals, we formulate this problem using semidefinite programmi...

2014
Karla Brkic Aitor Aldoma Markus Vincze Sinisa Segvic Zoran Kalafatic

This paper proposes novel descriptors that integrate information from multiple views of a 3D object, called Temporal Ensemble of Shape Functions (TESF) descriptors. The TESF descriptors are built by combining per-view Ensemble of Shape Functions (ESF) descriptors with Spatio-Temporal Appearance (STA) descriptors. ESF descriptors provide a compact representation of ten different shape functions ...

The accuracy and efficiency of the elements proposed by finite element method (FEM) considerably depend on the interpolating functions namely shape functions used to formulate the displacement field within the element. In the present study, novel functions, namely basic displacements functions (BDFs), are introduced and exploited for structural analysis of nanobeams using finite element method ...

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