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A Framework based on Geo-Information Neural System (GINS) for Predicting Remaining Life of Heritage Buildings Assets

by Ahmed Abou El-fetouh, Hana Mohamed, Mohamed Shawky
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 7
Year of Publication: 2012
Authors: Ahmed Abou El-fetouh, Hana Mohamed, Mohamed Shawky
10.5120/9292-3506

Ahmed Abou El-fetouh, Hana Mohamed, Mohamed Shawky . A Framework based on Geo-Information Neural System (GINS) for Predicting Remaining Life of Heritage Buildings Assets. International Journal of Computer Applications. 58, 7 ( November 2012), 5-11. DOI=10.5120/9292-3506

@article{ 10.5120/9292-3506,
author = { Ahmed Abou El-fetouh, Hana Mohamed, Mohamed Shawky },
title = { A Framework based on Geo-Information Neural System (GINS) for Predicting Remaining Life of Heritage Buildings Assets },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 7 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 5-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number7/9292-3506/ },
doi = { 10.5120/9292-3506 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:01:49.490896+05:30
%A Ahmed Abou El-fetouh
%A Hana Mohamed
%A Mohamed Shawky
%T A Framework based on Geo-Information Neural System (GINS) for Predicting Remaining Life of Heritage Buildings Assets
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 7
%P 5-11
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Preservation of cultural heritage of a community is essential to its identity and its transmission to future generations. Some prevention methods have been introduced for the preservation of cultural heritages such as buildings, monuments, structures, sites. These are based on basic principles and methodologies which are developed by experts from different areas. The main objective of this study is to predict remaining life for heritage buildings through study the influence different geographic factors. These factors may be traffic, air pollution and destructive events that causing heavy damage like earthquakes, fire or war etc. All these factors threaten and destroy the heritage buildings and thus reduce its life. In this paper we discuss the integration between three technologies for preservation of Architecture Heritage at two stages. First stage, represent the integration between Geographic Information Systems and 3D Modeling technique. Through build 3D model to produce more realistic and detailed environment for preservation of heritage building and add to GIS database for spatial analysis. Second stage, Artificial Neural Networks is used to build the prediction model using the resulting data from first stage. The predicted results will then represented visually using 3D Modeling technique. Keywords

References
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Index Terms

Computer Science
Information Sciences

Keywords

GIS 3D Modeling AIS ANNs GINS Architectural Heritage Conversation

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