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Modelling database for indoor navigation system / Sharafuddin Mohd Khairuddin

This thesis present the Modelling Database for Indoor Navigation System. The problem for indoor navigation system is the insufficient signal to locating the user by using outdoor locating technologies. The system only rely on the use of identification of nearby Wi-Fi access point. In order to create...

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Main Author: Mohd Khairuddin, Sharafuddin
Format: Thesis
Language:English
Published: 2015
Online Access:https://ir.uitm.edu.my/id/eprint/81687/1/81687.pdf
https://ir.uitm.edu.my/id/eprint/81687/
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spelling my.uitm.ir.816872023-11-09T03:24:41Z https://ir.uitm.edu.my/id/eprint/81687/ Modelling database for indoor navigation system / Sharafuddin Mohd Khairuddin Mohd Khairuddin, Sharafuddin This thesis present the Modelling Database for Indoor Navigation System. The problem for indoor navigation system is the insufficient signal to locating the user by using outdoor locating technologies. The system only rely on the use of identification of nearby Wi-Fi access point. In order to create database for indoor navigation system, two technique were applied for this project and the best technique was chosen for further operation which are localization and navigation in order to create the indoor navigation system. The first technique is Inertia Measurement Units technique (IMU). The system consist of portable unit and fixed unit. Portable unit attached to the user and fixed unit used to monitor the movement of user. The system is equipped with three-dimensional axis by the used of gyroscope, accelerometer and magnetometer to determine the user's movement and sent the data to fixed unit through nearby access point. For fingerprint technique, Wi-Fi access point (AP) is required to create the reference point (RP) using fingerprint technique by collecting the RSSI value for each access point (AP). The method used is gather the data using Wi-Fi fingerprint Apps on smartphone. 22 reference point is created to cover the public corridor at B5-A13 Faculty of Chemical Engineering. The data collected four time in order to get the mean value of signal strength. The signal strength recorded by using Microsoft Excel so the data can be import and process in the MATLAB for localization and navigation purpose. This paper discuss application of fingerprint and IMU technique, and how it can be applied into the system as a database. 2015 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/81687/1/81687.pdf Modelling database for indoor navigation system / Sharafuddin Mohd Khairuddin. (2015) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description This thesis present the Modelling Database for Indoor Navigation System. The problem for indoor navigation system is the insufficient signal to locating the user by using outdoor locating technologies. The system only rely on the use of identification of nearby Wi-Fi access point. In order to create database for indoor navigation system, two technique were applied for this project and the best technique was chosen for further operation which are localization and navigation in order to create the indoor navigation system. The first technique is Inertia Measurement Units technique (IMU). The system consist of portable unit and fixed unit. Portable unit attached to the user and fixed unit used to monitor the movement of user. The system is equipped with three-dimensional axis by the used of gyroscope, accelerometer and magnetometer to determine the user's movement and sent the data to fixed unit through nearby access point. For fingerprint technique, Wi-Fi access point (AP) is required to create the reference point (RP) using fingerprint technique by collecting the RSSI value for each access point (AP). The method used is gather the data using Wi-Fi fingerprint Apps on smartphone. 22 reference point is created to cover the public corridor at B5-A13 Faculty of Chemical Engineering. The data collected four time in order to get the mean value of signal strength. The signal strength recorded by using Microsoft Excel so the data can be import and process in the MATLAB for localization and navigation purpose. This paper discuss application of fingerprint and IMU technique, and how it can be applied into the system as a database.
format Thesis
author Mohd Khairuddin, Sharafuddin
spellingShingle Mohd Khairuddin, Sharafuddin
Modelling database for indoor navigation system / Sharafuddin Mohd Khairuddin
author_facet Mohd Khairuddin, Sharafuddin
author_sort Mohd Khairuddin, Sharafuddin
title Modelling database for indoor navigation system / Sharafuddin Mohd Khairuddin
title_short Modelling database for indoor navigation system / Sharafuddin Mohd Khairuddin
title_full Modelling database for indoor navigation system / Sharafuddin Mohd Khairuddin
title_fullStr Modelling database for indoor navigation system / Sharafuddin Mohd Khairuddin
title_full_unstemmed Modelling database for indoor navigation system / Sharafuddin Mohd Khairuddin
title_sort modelling database for indoor navigation system / sharafuddin mohd khairuddin
publishDate 2015
url https://ir.uitm.edu.my/id/eprint/81687/1/81687.pdf
https://ir.uitm.edu.my/id/eprint/81687/
_version_ 1783882190884438016
score 13.211869

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