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Displaying 51 - 75 of 138

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

Predicting Global Failure Regimes in Complex Information Systems

June 19, 2012
Author(s)
Christopher E. Dabrowski, James J. Filliben, Kevin L. Mills
Over the past five years, we investigated methods to characterize global behavior in large distributed systems and applied those methods to predict effects from deploying alternate distributed control algorithms. The methods we used assess global behaviors

Comparing VM-Placement Algorithms for On-Demand Clouds

November 29, 2011
Author(s)
Kevin L. Mills, James J. Filliben, Christopher E. Dabrowski
Much recent research has been devoted to investigating algorithms for allocating virtual machines (VMs) to physical machines (PMs) in infrastructure clouds. Many such algorithms address distinct problems, such as initial placement, consolidation, or

Ocular and Iris Recognition Baseline Algorithm

November 7, 2011
Author(s)
Yooyoung Lee, Ross J. Micheals, James J. Filliben, P J. Phillips, Hassan A. Sahibzada
Due to its distinctiveness, the human eye is a popular biometricv feature used to identity a person with high accuracy. The Grand Challenge in biometrics is to have an effective algorithm for subject verification or identification under a broad range of

COMPARISON OF TWO DIMENSION-REDUCTION METHODS FOR NETWORK SIMULATION MODELS

October 5, 2011
Author(s)
Kevin L. Mills, James J. Filliben
Experimenters characterize the behavior of simulation models for data communications networks by measuring multiple responses under selected parameter combinations. The resulting multivariate data may include redundant responses reflecting aspects of a

Service Life Prediction for Sealants

September 29, 2011
Author(s)
Christopher C. White, Donald L. Hunston, Kar T. Tan, James J. Filliben
Previous industry consensus postulated that four elements of the weather: Temperature, Humidity, Ultraviolet Radiation, and Mechanical loading were responsible for the majority of the changes observed in sealants exposed to outdoor weathering. The NIST

Predicting Macroscopic Dynamics in Large Distributed Systems

July 18, 2011
Author(s)
Kevin L. Mills, James J. Filliben
In this paper, we outline an approach that can be used to predict macroscopic dynamics when new components are deployed in a large distributed system. Our approach combines two main methods: scale reduction and multidimensional data analysis techniques

Comparison of segmentation algorithms for fluorescence microscopy images of cells

June 14, 2011
Author(s)
Alden A. Dima, John T. Elliott, James J. Filliben, Michael W. Halter, Adele P. Peskin, Javier Bernal, Marcin Kociolek, Mary C. Brady, Hai C. Tang, Anne L. Plant
Segmentation results from nine different segmentation techniques applied to two different cell lines and five different sets of imaging conditions were compared. Significant variability in the results of segmentation was observed that was due solely to