Study of the influence of low air pressures on fire behavior and burn‐through of aircraft cargo liner

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Wei Wang ◽  
Rui Yang ◽  
Hui Zhang ◽  
Yongfeng Zhang ◽  
Juntao Yang
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2020 ◽  
Vol 51 (4) ◽  
pp. 359-376
Author(s):  
Dongmei Huang ◽  
Qi Yuan ◽  
Yu Wang ◽  
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Yongliang Chen ◽  
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Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 336-341
Author(s):  
R. Shiva ◽  
A. Shyamsunder
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Money the executives procedures incorporate planning keeping monetary records, augmenting the premium earned on checking and sparing records, and consistently getting ready fiscal summaries, and as total assets and income. One of the soundest bits of monetary guidance is to spend short of what you win. It sounds straightforward, yet on the off chance that you are not completely mindful of how you burn through cash, you might spend more than you understand. After you track your salary and costs, following a spending that is acclimated to your individual circumstance and objectives is a fantastic procedure to design your spending.


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Alicia L. Reiner ◽  
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Josephine A. Fites-Kaufman ◽  
Scott N. Dailey ◽  
Erin K. Noonan-Wright ◽  
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Jing Li ◽  
Shankar Mahalingam ◽  
David R. Weise
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2016 ◽  
Vol 16 (3) ◽  
pp. 643-661 ◽  
Author(s):  
Kostas Kalabokidis ◽  
Alan Ager ◽  
Mark Finney ◽  
Nikos Athanasis ◽  
Palaiologos Palaiologou ◽  
...  

Abstract. We describe a Web-GIS wildfire prevention and management platform (AEGIS) developed as an integrated and easy-to-use decision support tool to manage wildland fire hazards in Greece (http://aegis.aegean.gr). The AEGIS platform assists with early fire warning, fire planning, fire control and coordination of firefighting forces by providing online access to information that is essential for wildfire management. The system uses a number of spatial and non-spatial data sources to support key system functionalities. Land use/land cover maps were produced by combining field inventory data with high-resolution multispectral satellite images (RapidEye). These data support wildfire simulation tools that allow the users to examine potential fire behavior and hazard with the Minimum Travel Time fire spread algorithm. End-users provide a minimum number of inputs such as fire duration, ignition point and weather information to conduct a fire simulation. AEGIS offers three types of simulations, i.e., single-fire propagation, point-scale calculation of potential fire behavior, and burn probability analysis, similar to the FlamMap fire behavior modeling software. Artificial neural networks (ANNs) were utilized for wildfire ignition risk assessment based on various parameters, training methods, activation functions, pre-processing methods and network structures. The combination of ANNs and expected burned area maps are used to generate integrated output map of fire hazard prediction. The system also incorporates weather information obtained from remote automatic weather stations and weather forecast maps. The system and associated computation algorithms leverage parallel processing techniques (i.e., High Performance Computing and Cloud Computing) that ensure computational power required for real-time application. All AEGIS functionalities are accessible to authorized end-users through a web-based graphical user interface. An innovative smartphone application, AEGIS App, also provides mobile access to the web-based version of the system.


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