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Displaying 26 - 35 of 35

Reliability of Conformance Tests

August 21, 1998
Author(s)
Robert C. Hagwood, Raghu N. Kacker, James H. Yen, D L. Banks, Lynne S. Rosenthal, Leonard J. Gallagher, Paul E. Black
A conformance test is a software assurance test that is applied in order to determine if specification requirements of the software are being met. It is a time-dependent model, where the software object is subjected to an a priori known test suite. The

Software Testing: Protocol Comparison

May 29, 1998
Author(s)
James H. Yen, D L. Banks, Leonard J. Gallagher, Paul E. Black, Robert C. Hagwood, Raghu N. Kacker, Lynne S. Rosenthal
Software testing is hard, expensive, and uncertain. Many protocols have been suggested, especially in the area of conformance verification. In order to compare the efficacy of these protocols, we have implemented a designed simulation experiment that

Tomographic Reconstruction of the Local PDFS of Soot Volume Fraction and Temperature

April 23, 1995
Author(s)
Y. R. Sivathanu, Anthony Hamins, Robert Hagwood, Takashi Kashiwagi
Deconvolution of local properties from line-of-sight measurements is important in a wide variety of applications such as x-ray tomography, nuclear magnetic resonance imaging, atmospheric sciences, optical inteferometry and flow field diagnostics. The Radon

Dynamic Calibration for Instruments

Author(s)
Robert C. Hagwood
The NIST Pressure Measurements Division provides calibration service for pressure instruments that customers in turn use to calibrate other instruments. Often during their useable lifetime, these instruments are calibrated and recalibrated several times at

Dynamics of DNA in and Around a Nanopore

Author(s)
Robert C. Hagwood
Single stranded DNA is modeled as a flexible polymer. The motion of such DNA in a vessel partitioned by a membrane containing a cylindrical nanopore is modeled. Statistical quantities such as the probability that a polymer end is at the pore entrance at

Is Bonds Out

Author(s)
Robert C. Hagwood
In this paper, the cumulative home run rates of the 20 players with 500 or more home runs are analyzed. We show that Bonds and McGwire have cumulative totals that lie statistically outside the others in the study.