U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Search Publications by: N. Alan Heckert (Fed)

Search Title, Abstract, Conference, Citation, Keyword or Author
Displaying 76 - 95 of 95

Statistical analysis of fiber gripping effects on Kolsky bar test

June 14, 2011
Author(s)
Jae Hyun Kim, Nathanael A. Heckert, Stefan D. Leigh, Haruki Kobayashi, Walter G. McDonough, Richard L. Rhorer, Kirk D. Rice, Gale A. Holmes
Preliminary data for testing fibers at high strain rates using the Kolsky bar test by Ming Cheng et al. 1 indicated minimal effect of strain rate on the tensile stress-strain behavior of PPTA, poly (p-phenylene terephathalamide) fibers. In a different

A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications

September 16, 2010
Author(s)
Lawrence E. Bassham, Andrew L. Rukhin, Juan Soto, James R. Nechvatal, Miles E. Smid, Stefan D. Leigh, M Levenson, M Vangel, Nathanael A. Heckert, D L. Banks
This paper discusses some aspects of selecting and testing random and pseudorandom number generators. The outputs of such generators may be used in many cryptographic applications, such as the generation of key material. Generators suitable for use in

A Risk-Uncertainty Formula Accounting for Uncertainties of Failure Probability and Consequence in a Nuclear Powerplant

July 20, 2010
Author(s)
Jeffrey T. Fong, Stephen R. Gosselin, Pedro V. Marcal, James J. Filliben, Nathanael A. Heckert, Robert E. Chapman
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-authored by

Design of a Python-based Plug-in for Benchmarking Probabilistic Fracture Mechanics Computer Codes with Failure Event Data

July 27, 2009
Author(s)
Jeffrey T. Fong, Roland deWit, Pedro V. Marcal, James J. Filliben, Nathanael A. Heckert, Stephen R. Gosselin
In a 2007 paper entitled "Application of Failure Event Data to Benchmark Probabilistic Fracture Mechanics (PFM) Computer Codes" (Simonen, F. A., Gosselin, S. R., Lydell, B. O. Y., Rudland, D. L., & Wikowski, G. M. Proc. ASME PVP Conf., San Antonio, TX

A Design-of-Experiments Plug-In for Estimating Uncertainties in Finite Element Simulations

May 18, 2009
Author(s)
Jeffrey T. Fong, Roland deWit, Pedro V. Marcal, James J. Filliben, Nathanael A. Heckert
The objective of this paper is to introduce an economical and user-friendly technique for estimating a specific type of finite element simulation uncertainties, or, "error bars," for a class of mathematical models, of which no closed-form or approximate

Through-focus Scanning and Scatterfield Optical Methods for Advanced Overlay Target Analysis

September 1, 2008
Author(s)
Ravikiran Attota, Michael T. Stocker, Richard M. Silver, Nathanael A. Heckert, Hui Zhou, Richard J. Kasica, Lei Chen, Ronald G. Dixson, Ndubuisi G. Orji, Bryan M. Barnes, Peter Lipscomb
In this paper we present overlay measurement techniques that use small overlay targets for advanced semiconductor applications. We employ two different optical methods to measure overlay using modified conventional optical microscope platforms. They are

Robust Engineering Design for Failure Prevention

July 27, 2008
Author(s)
Jeffrey T. Fong, James J. Filliben, Nathanael A. Heckert, Roland deWit, Barry Bernstein
To advance the state of the art of engineering design, we introduce a new concept on the "robustness" of a structure by measuring its ability to sustain a sudden loss of a part without causing an immediate collapse. The concept is based on the premise that

Uncertainty Estimate of Charpy Data Using a 5-factor 8-run Design of Experiments

July 27, 2008
Author(s)
Charles G. Interrante, Jeffrey Fong, James J. Filliben, N. Alan Heckert
Scatter in laboratory data with duplicates on Charpy impact tests is analyzed by identifying several sources of variability such as temperature, manganese sulfide, initial strain, mis-orientation, and notch radius in order to estimate the predictive 95%

Relationship between dispersion metric and properties of PMMA/SWNT nanocomposites

June 13, 2007
Author(s)
Takashi Kashiwagi, Jeffrey Fagan, Jack F. Douglas, Kazuya Yamamoto, N. Alan Heckert, Stefan D. Leigh, Jan Obrzut, Fangming Du, Minfang Mu, Sheng Lin-Gibson, K Winey, R Haggenmueller
Particle spatial dispersion is a crucial characteristic of polymer composite materials and this property is recognized as especially important innanocomposite materials due to the general tendency of nanoparticles to aggregate under processing conditions

Transformation, Ranking, and Clustering for Face Recognition Algorithm Comparison

March 1, 2002
Author(s)
Stefan D. Leigh, Nathanael A. Heckert, Andrew L. Rukhin, J G. Phillips, Elaine M. Newton, M Moody, K Kniskern, S Heath
The performance of face recognition algorithms is recently of increased interest, although to date empirical analyses of algorithms have been limited to rank-based scores such a cumulative match score and receiver operating characteristic. This paper

Dependence Characteristics of Face Recognition Algorithms

January 1, 2002
Author(s)
Andrew L. Rukhin, Patrick J. Grother, P J. Phillips, Stefan D. Leigh, E M. Newton, Nathanael A. Heckert
Nonparametric statistics for quantifying dependence between the output rankings of face recognition algorithms are described. Analysis of the archived results of a large face recognition study shows that even the better algorithms exhibit significantly

Transformation, Ranking, and Clustering for Face Recognition Algorithm Performance

January 1, 2002
Author(s)
Stefan D. Leigh, Nathanael A. Heckert, Andrew L. Rukhin, P J. Phillips, Patrick J. Grother, E M. Newton, M Moody, K Kniskern, S Heath
The performance of face recognition algorithms is recently of increased interest, although to date empirical analyses of algorithms have been limited to rank-based scores such a cumulative match score and receiver operating characteristic. This paper

A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications

May 15, 2001
Author(s)
Andrew L. Rukhin, Juan Soto, James R. Nechvatal, Miles E. Smid, Elaine B. Barker, Stefan D. Leigh, M Levenson, M Vangel, D L. Banks, Nathanael A. Heckert, James F. Dray Jr., S C. Vo
[Superseded by SP 800-22 Revision 1a (April 2010): http://www.nist.gov/manuscript-publication-search.cfm?pub_id=906762] This paper discusses some aspects of selecting and testing random and pseudorandom number generators. The outputs of such generators may