World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Design of an Intelligent Individual Evacuation Model for High Rise Building Fires Based on Neural Network Within the Scope of 3D Gis : Volume Ii-2/W1, Issue 1 (13/09/2013)

By Atila, U.

Click here to view

Book Id: WPLBN0004013767
Format Type: PDF Article :
File Size: Pages 12
Reproduction Date: 2015

Title: Design of an Intelligent Individual Evacuation Model for High Rise Building Fires Based on Neural Network Within the Scope of 3D Gis : Volume Ii-2/W1, Issue 1 (13/09/2013)  
Author: Atila, U.
Volume: Vol. II-2/W1, Issue 1
Language: English
Subject: Science, Isprs, Annals
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2013
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Rahman, A. A., Turan, M. K., Karas, I. R., & Atila, U. (2013). Design of an Intelligent Individual Evacuation Model for High Rise Building Fires Based on Neural Network Within the Scope of 3D Gis : Volume Ii-2/W1, Issue 1 (13/09/2013). Retrieved from http://www.ebooklibrary.org/


Description
Description: Ankara MYO, Gazi University, Ankara, Turkey. One of the most dangerous disaster threatening the high rise and complex buildings of today's world including thousands of occupants inside is fire with no doubt. When we consider high population and the complexity of such buildings it is clear to see that performing a rapid and safe evacuation seems hard and human being does not have good memories in case of such disasters like world trade center 9/11. Therefore, it is very important to design knowledge based realtime interactive evacuation methods instead of classical strategies which lack of flexibility.

This paper presents a 3D-GIS implementation which simulates the behaviour of an intelligent indoor pedestrian navigation model proposed for a self -evacuation of a person in case of fire. The model is based on Multilayer Perceptron (MLP) which is one of the most preferred artificial neural network architecture in classification and prediction problems. A sample fire scenario following through predefined instructions has been performed on 3D model of the Corporation Complex in Putrajaya (Malaysia) and the intelligent evacuation process has been realized within a proposed 3D-GIS based simulation.


Summary
DESIGN OF AN INTELLIGENT INDIVIDUAL EVACUATION MODEL FOR HIGH RISE BUILDING FIRES BASED ON NEURAL NETWORK WITHIN THE SCOPE OF 3D GIS

 

Click To View

Additional Books


  • A Frequency-domain Implementation of a S... (by )
  • Detection of Planar Points for Building ... (by )
  • Effectiveness of Spectral Similarity Mea... (by )
  • Relating Worldview-2 Data to Pine Planta... (by )
  • The Influence of Spectral Wavelength on ... (by )
  • Visualisation Support for Exploring Urba... (by )
  • Localization of Windows and Doors in 3D ... (by )
  • Spatio-temporal Change Modeling of Lulc:... (by )
  • Hyperspectral Image Denoising with Cubic... (by )
  • Integration of Geomatic Techniques for t... (by )
  • Diagnostic-robust Statistical Analysis f... (by )
  • Nitrogen Concentration Estimation with H... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.