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Fire

Fire fighting

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Displaying 26 - 50 of 80

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

Prevention of Cooktop Ignition Using Detection and Multi-Step Machine Learning Algorithms

April 27, 2020
Author(s)
Wai Cheong Tam, Eugene Yujun Fu, Amy E. Mensch, Anthony P. Hamins, Christina Yu, Grace Ngai, Hong va Leong
This paper presents a study to examine the potential use of machine learning models to build a real-time detection algorithm for prevention of unattended cooking fires. 16 sets of time- dependent sensor signals were obtained from 60 normal/ignition cooking

Voices of First RespondersNationwide Public Safety Communication Survey Methodology: Development, Dissemination, and Demographics, Phase 2, Volume 1

March 20, 2020
Author(s)
Kristen Greene, Shanee T. Dawkins, Sandra S. Prettyman, Pamela J. Konkol, Mary F. Theofanos, Kevin C. Mangold, Susanne M. Furman, Michelle P. Steves
With the newly created Nationwide Public Safety Broadband Network (NPSBN), the public safety community is in the process of supplementing the use of land mobile radios (LMR) to a technology ecosystem that will include a variety of new communication tools

The Economics of Firefighter Injuries in the United States

December 11, 2019
Author(s)
David T. Butry, David H. Webb, Stanley W. Gilbert, Jennifer Taylor
This report identifies, summarizes, and evaluates the available data and the literature describing the economic costs associated with non-fatal firefighter injuries, illnesses, health exposures, and occupational disease (‘health outcomes’) resulting from

Mechanical properties and off gassing characteristics of new and legacy SCBA facepieces

December 11, 2018
Author(s)
Richard Kesler, Constandinos Mitsingas, Adam G. Quiat, Tonghun Lee, Daniel Madrzykowski, Gavin Horn
In today’s structure fires, evolving fire loads and higher heat release rates mean that fires grow larger and faster than ever before. Firefighting personal protective equipment (PPE) can be subjected to these severe thermal conditions repeatedly during

Community Risk Ratings for the FireCARES System

October 15, 2018
Author(s)
Stanley W. Gilbert
The FireCARES project is a web-based tool intended to help fire departments effectively match resources to community risk. Among other things that includes estimates of the community risk and estimates of effectiveness of response. This report documents

Propane Gas Fire Experiments in Residential Scale Structures

February 27, 2017
Author(s)
Joseph M. Willi
Nine full-scale fire experiments were conducted in two residential-scale structures to study how different fire fighting tactics, specifically horizontal, vertical, and positive pressure ventilation, affect the fire environment within a structure. The fire

Examination of Compressed Air Foam (CAF) for Interior Fire Fighting

January 23, 2017
Author(s)
Craig G. Weinschenk, Daniel M. Madrzykowski, Keith Stakes, Joseph M. Willi
Experiments were conducted to investigate the capabilities and limitations of compressed air foam (CAF) relative to water when used for interior structural fire fighting. The key outcomes were to measure the gas cooling and fire suppression capabilities of

Impact of Hose Streams on Air Flows inside a Structure

October 3, 2016
Author(s)
Joseph M. Willi, Daniel M. Madrzykowski, Craig G. Weinschenk
Fire suppression tactics using hose streams can affect ventilation in a structure and may impact the movement of smoke and heat through a structure. Seven series of experiments were conducted to study the impact of different hose stream and nozzle movement

Simulation of a Wind Driven Basement Fire - Riverdale Heights, MD

April 27, 2015
Author(s)
Craig G. Weinschenk, Kristopher Overholt, Daniel M. Madrzykowski
Fire Dynamics Simulator (FDS), which is a fire model that is developed and maintained by the Na- tional Institute of Standards and Technology (NIST), was used to provide insight into the dynamics of a fire that occurred on February 24, 2012, within a

IMPROVING RADIANT HEAT RESISTANCE OF POLYCARBONATE LENSES

January 1, 2015
Author(s)
George C. Braga, Amy Mensch, Nelson P. Bryner
The purpose of this paper is to make a study of the degradation of polycarbonate lenses when submitted to thermal radiations between 5 and 15kW/m2. In addition, it studies how to improve the lenses' thermal resistance by adding a thin reflexive reflective

Simulation of a Fire in a Hillside Residential Structure - San Francisco, CA

November 13, 2014
Author(s)
Kristopher J. Overholt, Craig G. Weinschenk, Daniel M. Madrzykowski
Fire Dynamics Simulator (FDS), which is a fire model that is developed and maintained by the National Institute of Standards and Technology (NIST), was used to provide insight into the dynamics of a fire that occurred on June 2, 2011, within a multi-level

Simulations of an Attic Fire in a Wood Frame Residential Structure-Chicago, IL

October 17, 2014
Author(s)
Craig G. Weinschenk, Daniel M. Madrzykowski, Kristopher J. Overholt
The Fire Dynamics Simulator (FDS) fire model, which is developed and maintained by the National Institute of Standards and Technology (NIST), was used to provide insight into the dynamics of a fire that occurred on November 2, 2012, within a 2 1⁄2 story

Performance of Portable Radios Exposed to Elevated Temperatures

October 9, 2014
Author(s)
Michelle K. Donnelly, William F. Young, Dennis G. Camell
This study investigates the performance issues associated with the use of handheld portable radios by fire fighters working in elevated temperature environments. Radios may be vulnerable to elevated temperatures that can be encountered during fire fighting

Fire Dynamics: The Science of Fire Fighting

October 1, 2013
Author(s)
Daniel M. Madrzykowski
Fire dynamics can provide a firefighter with means to understand how a fire will grow and spread within a structure and how best to control that growth. Researchers have generated experimental results and computer models to explain how fire dynamics
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