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Displaying records 51 to 60 of 95 records.
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51. Guidelines for Accepting 2D Building Plans (NIST IR 7638)
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7638
Published: 9/30/2009
Authors: Geraldine S Cheok, James J Filliben, Alan M. (Alan M.) Lytle
Abstract: The General Services Administration's (GSA) Public Buildings Services manages 1600 buildings totaling 180, 000, 000 square feet. GSA‰s ability to capture, validate, and report the spatial information of its building assets (e.g., dimensions, areas, a ...

52. Handbook 151: NIST/SEMATECH e-Handbook of Statistical Methods
Series: NIST Interagency/Internal Report (NISTIR)
Published: 11/1/2002
Authors: Nathanael A Heckert, James J Filliben, C M. Croarkin, B Hembree, William F Guthrie, P Tobias, J Prinz
Abstract: The URL is This is a web based guide to statistical methods for engineering. It involves case studies with interactive software for analysis.

53. High Throughput Measurement of Peel of a Pressure Sensitive Adhesive
Published: 1/1/2006
Authors: P M McGuiggan, James J Filliben
Abstract: The peel force of a pressure sensitive adhesive (PSA) tape is measured on a surface that varied linearly in temperature. As the tape is peeled from the surface, the adhesive is peeled from a surface at a different temperature. The temperature can b ...

54. Hurricane Damage Prediction Model for Residential Structures
Published: 11/1/2004
Authors: Emil Simiu, J P Pinelli, C Subramanian, L. Zhang, A Cope, K Gurley, James J Filliben, S Hamid
Abstract: This paper reports progress in the development of a practical probabilistic model for the estimation of expected annual damage induced by hurricane winds in residential structures. The estimation of the damage is accomplished in several steps. Firs ...

55. Identifying Face Quality and Factor Measures for Video
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 8004
Published: 5/21/2014
Authors: Yooyoung Lee, P Jonathon Phillips, James J Filliben, J. Ross Beveridge, Hao Zhang
Abstract: 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 ...

56. Learning to Recognize Distributional Functions
Report Number: 6187
Published: Date unknown
Authors: J E Devaney, L Hunter, James J Filliben
Abstract: This paper introduces a novel methodology that enables recognition of distributional functions without doing a fit of the data to the distribution. This methodology combines the technique of equation signatures, which uses coefficient independent pro ...

57. Methods for Quantifying and Characterizing Errors in Pixel-Based 3D Rendering
Series: Journal of Research (NIST JRES)
Published: 7/1/2008
Authors: John G Hagedorn, Judith Ellen Terrill, Adele P Peskin, James J Filliben
Abstract: We present methods for measuring errors in the rendering of three-dimensional points, line segments, and polygons in  pixel-based computer graphics systems.  We present error metrics for each of these three cases.  These methods are ap ...

58. NIST/SEMATECH e-Handbook of Statistical Methods; Chapter 1: Exploratory Data Analysis
Published: 6/1/2003
Authors: Nathanael A Heckert, James J Filliben
Abstract: This chapter presents an approach/philosophy for data analysis which employs a variety of techniques (mostly graphical) to: maximize insight into a data set; uncover underlying structure; detect outliers and anomalies; test underlying assumptions; an ...

59. Ocular and Iris Recognition Baseline Algorithm
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7828
Published: 11/7/2011
Authors: Yooyoung Lee, Ross J Micheals, James J Filliben, P Jonathon Phillips, Hassan A. Sahibzada
Abstract: 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 ...

60. On tuning the design of an evolutionary algorithm for machining optimization problem
Report Number: 823038
Published: 5/9/2007
Authors: Jean-Louis Vigouroux, Sebti Foufou, Laurent Deshayes, James J Filliben, Lawrence A Welsch, M Alkan Donmez
Abstract: In this paper, a methodology for tuning the design of an evolutionary algorithm (EA) is presented. An EA for solving machining optimization probfems having highly non-linear constraints and uncertainties is studied. A conventional turning optimizatio ...

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