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NIST Authors in Bold

Displaying 901 - 925 of 1005

Fire Resistance Tests of the Floor Truss Systems. Federal Building and Fire Safety Investigation of the World Trade Center Disaster (NIST NCSTAR 1-6B) ***DRAFT for Public Comments***

September 1, 2005
Author(s)
John L. Gross, F Hervey, M Izydorek, J Mammoser, J Treadway
… both full-scale (35 ft span) and reduced-scale (17 ft span) floor assemblies constructed to represent the … the thickness of the sprayed fire resistive material was 3/4 in. which represented the average thickness applied in the … unrestrained test condition, specimens protected with 3/4 in. thick sprayed fire resistive material were able to …

Standard Reference Materials: Film Step Tablet Standards of Diffuse Visual Transmission Density--SRM 1001 and SRM 1008

July 1, 1998
Author(s)
Thomas R. O'Brian, Robert D. Saunders, Albert C. Parr, E A. Early
… transmission densities from approximately 0.1 to 4 from one end of the film to the other. SRM 1001 has 17 steps, while SRM 1008 has 23.The transmission densities of … standards for this measurement, is detailed in section 4; and its operation is discussed in section 5. Finally, the …

Rapid Prototyping

January 1, 1998
Author(s)
Kevin K. Jurrens
… important to the success of this effort. On October 16 and 17, 1997, about 40 individuals from government, academia, and …

On the Use of Machine Learning Models to Forecast Flashover Occurrence in a Compartment

September 15, 2020
Author(s)
Jun Wang, Andy Tam, Paul A. Reneke, Richard Peacock, Thomas Cleary, Eugene Yujun Fu, Grace Ngai, Hong Va Leong
This paper presents a study to examine the potential use of machine learning algorithms to build a model to forecast the likelihood of flashover occurrence for a single-floor multi-room compartment. Synthetic temperature data for heat detectors from

Time Series Feature Extraction and Selection Tool for Fire Data

September 15, 2020
Author(s)
Jun Wang, Youwei Jia, Eugene Yujun Fu, Jiajia Li, Andy Tam
This paper aims to facilitate the use of machine learning to carry out supervised classification/regression tasks for time series data in fire research. Specifically, a feature engineering tool, FAST (Feature extrAction and Selection for Time-series), is

Assessing Fire Smoke to Predict Backdraft and Smoke Explosion Potential

June 3, 2020
Author(s)
Ryan Falkenstein-Smith, Thomas Cleary
The Fire Research Division at the National Institute of Standards and Technology is investigating the ability to forecast backdraft or smoke explosions during a fire event using a phi meter. Compared to other gas sensors, a phi meter can measure the global

The Application of Digital PCR as a Reference Measurement Procedure to Support the Accuracy of Quality Assurance for Infectious Disease Molecular Diagnostic Testing

December 26, 2024
Author(s)
Samreen Falak, Denise O'Sullivan, Megan Cleveland, Simon Cowen, Eloise Busby, Alison Devonshire, Esmeralda Valiente, Gerwyn Jones, Martin Kammel, Mojca Milavec, Laura Vierbaum, Ingo Schellenberg, Heinz Zeichhardt, Andreas Kummrow, Peter Vallone, Rainer Macdonald, Jim Huggett
… 22 materials were used in six rounds of EQA over 17 months for laboratories performing COVID-19 testing. …
Displaying 901 - 925 of 1005
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