Smartphone-based GPS-integrated Location Prediction Model for OBD-II-Equipped Land Vehicle Localization

Smartphone-based GPS-integrated Location Prediction Model for OBD-II-Equipped Land Vehicle Localization

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Bibliographic Details
Main Author: Chai, Nee Ping
Format: Thesis
Language:English
Published: 2018
Subjects:
TK Electrical engineering
Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/24835/4/Chai%20Nee%20Ping%20ft.pdf
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id my-unimas-ir.24835
record_format uketd_dc
spelling my-unimas-ir.248352024-07-10T05:48:25Z Smartphone-based GPS-integrated Location Prediction Model for OBD-II-Equipped Land Vehicle Localization 2018 Chai, Nee Ping TK Electrical engineering. Electronics Nuclear engineering Universiti Malaysia Sarawak, (UNIMAS) 2018 Thesis http://ir.unimas.my/id/eprint/24835/ http://ir.unimas.my/id/eprint/24835/4/Chai%20Nee%20Ping%20ft.pdf text en validuser phd doctoral Universiti Malaysia Sarawak Faculty of Engineering
institution Universiti Malaysia Sarawak
collection UNIMAS Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Chai, Nee Ping
Smartphone-based GPS-integrated Location Prediction Model for OBD-II-Equipped Land Vehicle Localization
description
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Chai, Nee Ping
author_facet Chai, Nee Ping
author_sort Chai, Nee Ping
title Smartphone-based GPS-integrated Location Prediction Model for OBD-II-Equipped Land Vehicle Localization
title_short Smartphone-based GPS-integrated Location Prediction Model for OBD-II-Equipped Land Vehicle Localization
title_full Smartphone-based GPS-integrated Location Prediction Model for OBD-II-Equipped Land Vehicle Localization
title_fullStr Smartphone-based GPS-integrated Location Prediction Model for OBD-II-Equipped Land Vehicle Localization
title_full_unstemmed Smartphone-based GPS-integrated Location Prediction Model for OBD-II-Equipped Land Vehicle Localization
title_sort smartphone-based gps-integrated location prediction model for obd-ii-equipped land vehicle localization
granting_institution Universiti Malaysia Sarawak
granting_department Faculty of Engineering
publishDate 2018
url http://ir.unimas.my/id/eprint/24835/4/Chai%20Nee%20Ping%20ft.pdf
_version_ 1804888393657614336

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