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Topic Area: Modeling

Displaying records 1 to 10 of 143 records.
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1. The Structure of Optimal and Near Optimal Target Sets in Consensus Models
Series: Special Publication (NIST SP)
Report Number: 500-303
Topic: Modeling
Published: 12/19/2014
Author: Fern Y Hunt
Abstract: We consider the problem of identifying a subset of nodes in a network that will enable the fastest spread of information in a decentralized environment. In a model of communication based on a random walk on an undirected graph, the optimal set ov ...

2. Expansions for a fundamental solution of Laplace's equation on R^u3^ in 5-cyclidic harmonics
Topic: Modeling
Published: 10/14/2014
Authors: Howard S Cohl, Hans Volkmer
Abstract: We derive eigenfunction expansions for a fundamental solution of Laplace's equation in three-dimensional Euclidean space in 5-cyclidic coordinates. There are three such expansions in terms of internal and external 5-cyclidic harmonics of first, seco ...

3. Stochastic Regression Modeling of Chemical Spectra
Topic: Modeling
Published: 8/14/2014
Authors: Anthony J Kearsley, William E Wallace III, Yutheeka Gadhyan
Abstract: A stochastic regression method has been developed that decomposes chemical spectra into separate contributions from signal and from noise. The numerical results of regressing in this way on sample spectra are presented. The results suggest that this ...

4. Colored Noise and Regularization Parameter Selection for Waveform Metrology
Topic: Modeling
Published: 7/8/2014
Authors: Andrew M Dienstfrey, Paul D Hale
Abstract: 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 presen ...

5. From atoms to steps: the microscopic origins of crystal growth.
Topic: Modeling
Published: 7/1/2014
Authors: Paul N. Patrone, T L Einstein, Dionisios Margetis

6. Elucidating the Effects of Adsorbent Flexibility on Fluid Adsorption Using Simple Models and Flat-Histogram Sampling Methods
Topic: Modeling
Published: 6/24/2014
Authors: Vincent K Shen, Daniel W Siderius
Abstract: 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 thermo ...

7. A study of shear banding in polymer solutions
Topic: Modeling
Published: 6/4/2014
Authors: Michael E Cromer, Glenn Fredrickson, Gary Leal
Abstract: 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 ...

8. Distributed Deployment Algorithms for Improved Coverage in a Network of Wireless Mobile Sensors
Topic: Modeling
Published: 2/1/2014
Authors: Kamran Sayrafian, Vladimir V Marbukh, Hamid Mahboubi, Kaveh Moezzi, Amir Aghdam
Abstract: 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 directi ...

9. Generalization and specializations of generating functions for Jacobi, Gegenbauer, Chebyshev and Legendre polynomials with definite integrals
Topic: Modeling
Published: 1/15/2014
Authors: Howard S Cohl, Connor M. MacKenzie
Abstract: 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 thro ...

10. Feature Measures for the Segmentation of Neuronal Membrane using Machine Learning Algorithm
Topic: Modeling
Published: 1/6/2014
Authors: Afzal A Godil, Saadia S. Iftikhar
Abstract: 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 ...

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