Source identification of captured video using photo response non-uniformity noise pattern and svm classifiers

Also available in printed version

التفاصيل البيبلوغرافية
المؤلف الرئيسي: Roya Esmaeilani
مؤلفون آخرون: Ghazali Sulong, supervisor
التنسيق: Master's thesis
منشور في: Universiti Teknologi Malaysia 2025
الموضوعات:
الوصول للمادة أونلاين:https://utmik.utm.my/handle/123456789/100950
Abstract Abstract here
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author Roya Esmaeilani
author2 Ghazali Sulong, supervisor
author_facet Ghazali Sulong, supervisor
Roya Esmaeilani
author_sort Roya Esmaeilani
description Also available in printed version
format Master's thesis
id utm-123456789-100950
institution Universiti Teknologi Malaysia
publishDate 2025
publisher Universiti Teknologi Malaysia
record_format dspace
record_pdf Abstract
spelling utm-123456789-1009502025-08-20T20:00:31Z Source identification of captured video using photo response non-uniformity noise pattern and svm classifiers Roya Esmaeilani Ghazali Sulong, supervisor Computer science and information system Also available in printed version Urbanization and increase in population are due to many factors particularly the economic and political stabilities. The direct impact of the phenomena is the increase in the demand for water especially for drinking water. With regard to the demand for drinking water, there is a serious need for effective maintenance of water assets so that the assets life cycle may be maximized. Directly related to the maintenance is the assets inventory because water company may monitor the assets in order to provide excellent and effective service. Effective planning system for water assets is needed in order to fullfill the increasing demand for drinking water. The purpose of this study is to investigate on the use of GIS in water asset planning with a particular focus on aspect of the water asset inventory and maintenance. How GIS technology provides advantages in water asset planning? The objectives of this study to (i) review the concept of water asset management, (ii) develop a database of water asset in the study, and (iii) use GIS functionalities for the planning and inventory of water asset management. A new residential area, Setia Eco Garden located within Mukim Pulai, in Johor Bahru district was chosen as the study area. Results showed that GIS can help water companies in inventory and maintenance management of water assets and GIS is a very useful tool in managing water assets fahmimoksen UTM 96 p. Thesis (Sarjana Sains (Sains Komputer)) - Universiti Teknologi Malaysia, 2014 2025-04-10T04:26:26Z 2025-04-10T04:26:26Z 2014 Master's thesis https://utmik.utm.my/handle/123456789/100950 valet-20160420-120042 vital:86446 Closed Access UTM Complete Unpublished application/pdf Universiti Teknologi Malaysia
spellingShingle Computer science and information system
Roya Esmaeilani
Source identification of captured video using photo response non-uniformity noise pattern and svm classifiers
thesis_level Master
title Source identification of captured video using photo response non-uniformity noise pattern and svm classifiers
title_full Source identification of captured video using photo response non-uniformity noise pattern and svm classifiers
title_fullStr Source identification of captured video using photo response non-uniformity noise pattern and svm classifiers
title_full_unstemmed Source identification of captured video using photo response non-uniformity noise pattern and svm classifiers
title_short Source identification of captured video using photo response non-uniformity noise pattern and svm classifiers
title_sort source identification of captured video using photo response non uniformity noise pattern and svm classifiers
topic Computer science and information system
url https://utmik.utm.my/handle/123456789/100950
work_keys_str_mv AT royaesmaeilani sourceidentificationofcapturedvideousingphotoresponsenonuniformitynoisepatternandsvmclassifiers