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Displaying 101 - 125 of 274

Identifying Face Quality and Factor Measures for Video

May 21, 2014
Author(s)
Yooyoung Lee, P. Jonathon Phillips, James J. Filliben, J. R. Beveridge, Hao Zhang
This paper identifies important factors for face recognition algorithm performance in video. The goal of this study is to understand key factors that affect algorithm performance and to characterize the algorithm performance. We evaluate four factor

Combining Genetic Algorithms & Simulation to Search for Failure Scenarios in System Models

October 28, 2013
Author(s)
Kevin L. Mills, Christopher E. Dabrowski, James J. Filliben, Sanford P. Ressler
Large infrastructures, such as clouds, can exhibit substantial outages, sometimes due to failure scenarios that were not considered during system design. We define a method that uses a genetic algorithm (GA) to search system simulations for parameter

Statistical Prediction of Sealant Modulus Change due to Outdoor Weathering

October 17, 2013
Author(s)
Christopher C. White, Kar T. Tan, Donald L. Hunston, Adam L. Pintar, James J. Filliben
Recently a statistically based model has been created to predict the change in modulus for a sealant exposed to outdoor weathering. The underlying high precision data supporting this model was obtained using the NIST SPHERE (Simulated Photo degradation by

VASIR: An Open-Source Research Platform for Advanced Iris Recognition Technologies

April 22, 2013
Author(s)
Yooyoung Lee, Ross J. Micheals, James J. Filliben, P J. Phillips
The performance of iris recognition systems is frequently affected by input image quality, which in turn is vulnerable to less-than-optimal conditions due to illuminations, environments, and subject characteristics (e.g., distance, movement, face/body

Characterization of the NIST Shellfish Standard Reference Material 4358

March 1, 2013
Author(s)
Svetlana Nour, Kenneth G. Inn, James J. Filliben, Hank dan der Gaast, Lee Chung Men, M.D. Calmet, P Povinec, Y Takata, M. Wisdom, K. Nakamura, Pia Vesterbacka, Ching-Chung Huang, S M. Vakulovsky
A new Shellfish Standard Reference Material (SRM 4358) was developed at the National Institute of Standards and Technology (NIST) via an international intercomparison project that involved 12 laboratories-participants from 9 countries (Table 1). This

A Stochastic and Local Theory of Fatigue for Aging Pressure Vessels and Piping

November 4, 2012
Author(s)
Jeffrey T. Fong, Nathanael A. Heckert, James J. Filliben
We begin with a review of the fatigue design methodology for new pressure vessels and piping, based on both deterministic and stochastic approaches. We will then prove that the same methodology for estimating the remaining life of aging pressure vessels

Big Data Issues in Quantitative Imaging

August 29, 2012
Author(s)
Mary C. Brady, Alden A. Dima, Charles D. Fenimore, James J. Filliben, John Lu, Adele Peskin, Mala Ramaiah, Ganesh Saiprasad, Ram D. Sriram