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1. A Baseline for Assessing Biometrics Performance Robustness: A Case Study across Seven Iris Datasets
Yooyoung Lee, James J Filliben, Ross J Micheals, Michael D Garris, P Jonathon Phillips
We examine the robustness of algorithm performance over multiple datasets collected with different sensors. This study provide insight as to whether an algorithm performance derived from traditional controlled environment studies will robustly extrap ...
2. A Bayesian Quantitative Nondestructive Evaluation (QNDE) Approach to Estimating Remaining Life of
Aging Pressure Vessels and Piping
Jeffrey T Fong, William F Guthrie, James J Filliben, Nathanael A Heckert
In this paper, we use a Bayesian quantitative nondestructive evaluation (QNDE) approach to
estimating the remaining life of aging structures and components. Our approach depends on in-situ
NDE measurements of detectable crack lengths and crack g ...
3. A Comparative Study of CMM Flat-Surface Inspection Plans
NIST Interagency/Internal Report (NISTIR)
J Hsu, T Hsu, James J Filliben, Ted Hopp
This document reports on the findings from a collaborative effort by J. P. Hsu of the University of Texas at El Paso, T. W. Hsu (also of the same affiliation), James J. Filliben of the Statistical Engineering Division of the National Institute of Sta ...
4. A Design-of-Experiments Plug-In for Estimating Uncertainties in Finite Element Simulations
Jeffrey T Fong, Roland deWit, Pedro Vincente 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 o ...
5. A Human Inspired Local Ratio-Based Algorithm for Edge Detection in Fluorescent Cell Images
Adele P Peskin, Joe Chalfoun, Alden A Dima, John T Elliott, James J Filliben
We have developed a new semi-automated method for segmenting
images of biological cells seeded at low density on tissue culture
substrates, which we use to improve the generation of reference data for
the evaluation of automated segmentation algor ...
6. A Hurricane Damage Prediction Model for Residential Structures
A Cope, K Gurley, James J Filliben, Emil Simiu, J P Pinelli, C Subramanian, L. Zhang, S Hamid
The focus of this paper is the development of a probabilistic model for the prediction of structural damage due to hurricane winds in the state of Florida. This is a necessary component to a model currently under development to predict annualized in ...
7. A New Protocol for Semi-Automatic Generation of Reference Data for High Resolution Biological Images
Adele P Peskin, Joe Chalfoun, Alden A Dima, James J Filliben
We compare manually segmented masks of cell images that are independently hand-selected by several different people, with a new semi-automated method for estimating reference data for images of cells with very sharp clear edges. By quantifying the la ...
8. A Risk-Uncertainty Formula Accounting for Uncertainties of Failure Probability and Consequence in a Nuclear Powerplant
Jeffrey T Fong, Stephen R Gosselin, Pedro Vincente 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-authore ...
9. A Systematic Approach for Multidimensional, Closed-Form Analytic Modeling: Effective Intrinic Carrier Concentrations in Ga^d1-x^Al^dx^As Heterostructures
Herbert S Bennett, James J Filliben
A critical issue identified in both the technology roadmap from the Optoelectronics Industry Development Association and the roadmaps from the National Electronics Manufacturing Initiative, Inc. is the need for predictive computer simulations of proc ...
10. A Systematic Approach for Multidimensional, Closed-Form Analytical Modeling: Minority Electron Mobilities in Ga^d1-x^ Al^dx^ As Heterostructures
Journal of Research (NIST JRES)
Herbert S Bennett, James J Filliben
A significant, practical challenge, which arises in developing computationally efficient physical models for use in computer simulations of microelectronic and optoelectronic devices (e.g., transistors in digital cellular phones and in laser modulato ...