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Mathematics & Statistics

Modeling & simulation research

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Displaying 601 - 625 of 906

Colored Noise and Regularization Parameter Selection for Waveform Metrology

July 8, 2014

Author(s)

Andrew M. Dienstfrey, Paul D. Hale

We study six regularization parameter selection algorithms applied to deconvolution problems relevant for characterization of high-speed communication measurement systems. In particular we investigate the performance of these selectors in the presence of

From atoms to steps: the microscopic origins of crystal growth.

July 1, 2014

Author(s)

Paul N. Patrone, T L. Einstein, Dionisios Margetis

Elucidating the Effects of Adsorbent Flexibility on Fluid Adsorption Using Simple Models and Flat-Histogram Sampling Methods

June 24, 2014

Author(s)

Vincent K. Shen, Daniel W. Siderius

Using flat-histogram Monte Carlo methods, we investigate the adsorptive behavior of the square-well fluid in two simple slit-pore- like models intended to capture fundamental characteristics of flexible adsorbent materials. The models require thermodynamic

The stability of milling: an impact oscillator with delay

June 20, 2014

Author(s)

Matthew A. Davies, Tony Schmitz, Timothy J. Burns

A Velocity Divergence Constraint for Large-Eddy Simulation of Low-Mach Flows

June 17, 2014

Author(s)

Randall J. McDermott

The velocity divergence (rate of fluid volumetric expansion) is a flow field quantity of fundamental importance in low-Mach flows. It directly affects the local mass density and therefore the local temperature through the equation of state. In this paper

A study of shear banding in polymer solutions

June 4, 2014

Author(s)

Michael E. Cromer, Glenn Fredrickson, Gary Leal

In a recent letter (Cromer et al. Phys. Fluids 2013) we showed, for the first time, the existence of a steady shear-banded velocity profile for a polymer solution with an underlying monotonic constitutive curve. The driving mechanism is the coupling of the

Distributed Deployment Algorithms for Improved Coverage in a Network of Wireless Mobile Sensors

February 1, 2014

Author(s)

Kamran Sayrafian, Vladimir V. Marbukh, Hamid Mahboubi, Kaveh Moezzi, Amir Aghdam

In this paper, sensor deployment strategies are developed for effective coverage in wireless sensor networks. In the proposed algorithms, the sensors find coverage holes within the corresponding Voronoi polygons, and then move in a proper direction to

Optimal Spread in Network Consensus Models

January 27, 2014

Author(s)

Fern Y. Hunt

Suppose we seek a set of nodes in a network that will enable the fastest spread of information in a decentralized communication environment. If communication resources are limited there are constraints on the number of nodes that can be selected. In this

Generalization and specializations of generating functions for Jacobi, Gegenbauer, Chebyshev and Legendre polynomials with definite integrals

January 15, 2014

Author(s)

Howard S. Cohl, Connor M. MacKenzie

In this paper we generalize and specialize generating functions for classical orthogonal polynomials, namely Jacobi, Gegenbauer, Chebyshev and Legendre polynomials. We derive a generalization of the generating function for Gegenbauer polynomials through

Feature Measures for the Segmentation of Neuronal Membrane using Machine Learning Algorithm

January 6, 2014

Author(s)

Afzal A. Godil, Saadia S. Iftikhar

In this paper, we present a Support Vector Machine (SVM) based pixel classifier for a semi-automated segmentation algorithm to detect neuronal membrane structures in stacks of electron microscopy images of brain tissue samples. This algorithm uses high-

Connection of Kinetic Monte Carlo Model for Surfaces to Step-Continuum Theory in 1+1 Dimensions

January 1, 2014

Author(s)

Paul N. Patrone, Dionisios Margetis

The Detection of Neuronal Structures using a Patch-based Multi-features and Support Vector Machines Learning Algorithm

December 24, 2013

Author(s)

Saadia S. Iftikhar, Afzal A. Godil

In this research, we present an (semi-) automated segmentation algo-rithm using a Support Vector Machine classifier. This algorithm uses a high-dimensional feature space generated from patch-based multiple-features and a training dataset in order to detect

A comparison of methods for sketch-based 3D shape retrieval

December 13, 2013

Author(s)

Afzal A. Godil

Sketch-based 3D shape retrieval has become an important research topic in content-based 3D object retrieval. To foster this research area, two Shape Retrieval Contest (SHREC) tracks on this topic have been organized by us in 2012 and 2013 based on a small

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