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You searched on: Topic Area: Modeling

Displaying records 41 to 50 of 59 records.
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41. Derivation of Isosceles Trapezoidal Distribution
Topic: Modeling
Published: 12/1/2010
Authors: Raghu N Kacker, James F Lawrence
Abstract: It is known that, if the mid-point of a rectangular distribution is specified, the half-width is inexactly known, and the state of knowledge about the half-width may be represented by a narrower rectangular distribution then the resulting distributio ...

42. Predicting Microstructure Development During Casting of Drug Eluting Coatings
Topic: Modeling
Published: 9/19/2010
Authors: David M. Saylor, Jonathan E Guyer, Daniel Wheeler, James A Warren
Abstract: We have devised a novel diffuse interface formulation to model the development of chem- ical and physical inhomogeneities, i.e. microstructure, during the process of casting drug eluting coatings. These inhomogeneities, which depend on the ...

43. A Flexible and Efficient Numerical Framework for Image Segmentation by Energy Minimization
Topic: Modeling
Published: 8/22/2010
Author: Gunay Dogan
Abstract: A widely used approach to image segmentation is to define corresponding segmentation energies and to compute shapes that are minimizers of these energies. In this work, we introduce a flexible and efficient numerical framework for minimization of suc ...

44. Spectral Based Methods That Streamline the Search for Failure Scenarios in Large-Scale Distributed Systems
Topic: Modeling
Published: 7/22/2010
Authors: Fern Y Hunt, Christopher E Dabrowski, Katherine Morrison
Abstract: We report our work on the development of analytical and numerical methods that enable the detection of failure scenarios in distributed grid computing, cloud computing and other large scale systems.

45. A Risk-Uncertainty Formula Accounting for Uncertainties of Failure Probability and Consequence in a Nuclear Powerplant
Topic: Modeling
Published: 7/20/2010
Authors: Jeffrey T Fong, Stephen R Gosselin, Pedro Vincente Marcal, James J Filliben, Nathanael A Heckert, Robert E Chapman
Abstract: This paper is a continuation of a recent ASME Conference paper entitled "Design of a Python-Based Plug-in for Bench-marking Probabilistic Fracture Mechanics Computer Codes with Failure Event Data" (PVP2009-77974). In that paper, which was co-authore ...

46. Estimating Volumes of Near-spherical Molded Artifacts
Series: Journal of Research (NIST JRES)
Topic: Modeling
Published: 5/3/2010
Authors: David E. Gilsinn, Bruce R. Borchardt, Amelia Tebbe
Abstract: The Food and Drug Administration (FDA) is conducting research on developing reference lung cancer cancer lesions, called phantoms, to test computed tomography (CT) scanners and their software. FDA loaned two semi-spherical phantoms to the National In ...

47. Artificial Intelligence Tools for Failure Event Data Management and Probability Risk Analysis for Failure Prevention
Topic: Modeling
Published: 10/25/2009
Authors: Jeffrey T Fong, Pedro Vincente Marcal
Abstract: Over the last thirty years, much research has been done on the development of failure event databases and fatigue modeling of crack growth in pressure vessels and piping. According to a USNRC report (NUREG/CR6674, 2000), results of a fatigue crack g ...

48. Spectrum Simulation in DTSA-II
Report Number: 832430
Topic: Modeling
Published: 10/1/2009
Author: Nicholas W m Ritchie
Abstract: Spectrum simulation is a useful practical and pedagogical tool. Particularly with complex samples or trace constituents, a simulation can help to understand the limits of the technique and how to optimize the tools for the optimal measurement. DTSA- ...

49. Gauging the Repeatability of 3D Imaging Systems by Sphere Fitting
Topic: Modeling
Published: 9/30/2009
Authors: Marek Franaszek, Geraldine S Cheok, Kamel S Saidi
Abstract: Multiple scans of the same object acquired with 3D imaging system (e.g., laser scanner) in the same experimental conditions could provide valuable information about the instrument s performance (e.g., stability, existence of bias, measurement error). ...

50. Estimating Volumes of Simulated Lung Cancer Nodules
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7571
Topic: Modeling
Published: 7/15/2009
Authors: David E. Gilsinn, Bruce R. Borchardt, Amelia Tebbe
Abstract: Lung cancer is a disease of uncontrolled cell growth in tissues of the lung. Computed tomography (CT) shows promise in detecting lung cancers at earlier, more operable stages, when survival is better. CT scans generate multiple 2-D slice images of th ...

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