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Displaying records 61 to 70 of 93 records.
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61. Predicting Global Failure Regimes in Complex Information Systems
Published: 6/19/2012
Authors: Christopher E Dabrowski, James J Filliben, Kevin L Mills
Abstract: 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 beh ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=910913

62. Predicting Macroscopic Dynamics in Large Distributed Systems
Published: 7/18/2011
Authors: Kevin L Mills, James J Filliben
Abstract: 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 techniqu ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=908101

63. Prediction of Sealant Modulus Change due to Outdoor Weathering
Published: 5/13/2015
Authors: Christopher C White, Kar T. Tan, Donald Lee Hunston, Adam L Pintar, James J Filliben
Abstract: An empirically-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 Hi ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=915581

64. Rare-Earth Glass Reference Materials for Near-Infrared Spectrometry: Sources of X-Axis Location Variability
Published: 8/25/2003
Authors: David Lee Duewer, Steven J Choquette, L O'Neal, James J Filliben
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=903313

65. Reference Material 8785: Air Particulate Matter on Filter Media
Published: Date unknown
Authors: George A Klouda, James J Filliben, H J Parish, J C Chow, J Watson, R Cary
Abstract: Reference Material (RM) 8785 Air Particulate Matter on Filter Media is intended primarily for use in the evaluation of analytical methods used to characterize the carbon composition of atmospheric fine-particulate matter (PM) for national air quality ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=831345

66. Robust Design of an Evolutionary Algorithm for Machining Optimization Problems
Published: Date unknown
Authors: Jean-Louis Vigouroux, Laurent Deshayes, Sebti Foufou, James J Filliben, Lawrence A Welsch, M Alkan Donmez
Abstract: In this paper, a methodology for the robust design of an evolutionary algorithm is presented. The evolutionary algorithm (EA) is studied with the intention to solve machining optimization problems having highly non linear constraints and uncertaintie ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=823341

67. Robust Engineering Design for Failure Prevention
Published: 7/27/2008
Authors: Jeffrey T Fong, James J Filliben, Nathanael A Heckert, Roland deWit, Barry Bernstein
Abstract: 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 bas ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=152089

68. Robust Iris Recognition Baseline for the Grand Challenge
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7777
Published: 5/17/2011
Authors: Yooyoung Lee, Ross J Micheals, James J Filliben, P Jonathon Phillips
Abstract: Due to its distinctiveness, the human iris is a popular biometric feature used to identity a person with high accuracy. The ,Grand ChallengeŠ in iris recognition is to have an effective algorithm for subject verification or identification under a bro ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=908208

69. Robust Iris Recognition Baseline for the Occular Challenge
Published: 1/20/2011
Authors: Yooyoung Lee, Ross J Micheals, James J Filliben, P Jonathon Phillips
Abstract: Due to its distinctiveness, the human iris is a popular biometric feature used to identity a person with high accuracy. The Grand Challenge in iris recognition is to have an effective algorithm for subject verification or identification under a bro ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=907175

70. Searching for the Most Robust Reference Value From Intercomparison Exercise -Seaweed Radionuclide Standard Reference Material (SRM 4359)
Published: Date unknown
Authors: Iisa Outola, James J Filliben, Kenneth G. Inn
Abstract: The National Institute of Standards and Technology (NIST) seaweed Standard Reference Material (SRM4359) was developed through an intercomparison of 24 experienced laboratories. Several statistical techniques were evaluated for establishing reference ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=841225



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