Cover Image

Automated data process in participatory sensing using QR-code and EAN-13 barcode

Advancement of digital technology nowadays has led to the creation of various type of mobile devices such as smartphone, tablet, phablet, computer and many more. Internet also is one of an important element to either connecting people or spreading of an information. This contributes to the creation...

Full description

Saved in:
Bibliographic Details
Main Author: Che Ya, Mohamad Fakhrul Syafiq
Format: Thesis
Language:English
Published: 2018
Online Access:http://psasir.upm.edu.my/id/eprint/68913/1/FSKTM%202018%2030%20-%20IR.pdf
http://psasir.upm.edu.my/id/eprint/68913/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.68913
record_format eprints
spelling my.upm.eprints.689132019-06-18T01:36:43Z http://psasir.upm.edu.my/id/eprint/68913/ Automated data process in participatory sensing using QR-code and EAN-13 barcode Che Ya, Mohamad Fakhrul Syafiq Advancement of digital technology nowadays has led to the creation of various type of mobile devices such as smartphone, tablet, phablet, computer and many more. Internet also is one of an important element to either connecting people or spreading of an information. This contributes to the creation large amount of data or information such as big data. Big data is a phrase for huge data sets having large, more variety and complicated element with the challenges of storing, analyzing and visualizing for further actions and obtaining the results. However, maintaining data integrity for specific item or information is always being a challenge. In this paper, Quick Response Code (QR code) and EAN-13 barcode was used to enhancing the previous work. The QR code was used as a mechanism to activating the function for mobile application and determining the location, while EAN-13 barcode was used as a product identification. Both mechanism was used to maintain data integrity between the prices corresponding to the product. Thus, correct and updated crowdsourced data are stored in the database are based on real-time data and location that was submitted by the user or known as crowdsourcer or crowdworker for this work. The enhanced algorithm was evaluated using a developed prototype which is an Android mobile application of a crowdsourcing data submission based on product price and information, WE+Price, in which, the algorithm was embedded. The results showed that the algorithm was able to preserving data integrity with 99.13% and up to 100% accuracy. 2018-01 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/68913/1/FSKTM%202018%2030%20-%20IR.pdf Che Ya, Mohamad Fakhrul Syafiq (2018) Automated data process in participatory sensing using QR-code and EAN-13 barcode. Masters thesis, Universiti Putra Malaysia.
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Advancement of digital technology nowadays has led to the creation of various type of mobile devices such as smartphone, tablet, phablet, computer and many more. Internet also is one of an important element to either connecting people or spreading of an information. This contributes to the creation large amount of data or information such as big data. Big data is a phrase for huge data sets having large, more variety and complicated element with the challenges of storing, analyzing and visualizing for further actions and obtaining the results. However, maintaining data integrity for specific item or information is always being a challenge. In this paper, Quick Response Code (QR code) and EAN-13 barcode was used to enhancing the previous work. The QR code was used as a mechanism to activating the function for mobile application and determining the location, while EAN-13 barcode was used as a product identification. Both mechanism was used to maintain data integrity between the prices corresponding to the product. Thus, correct and updated crowdsourced data are stored in the database are based on real-time data and location that was submitted by the user or known as crowdsourcer or crowdworker for this work. The enhanced algorithm was evaluated using a developed prototype which is an Android mobile application of a crowdsourcing data submission based on product price and information, WE+Price, in which, the algorithm was embedded. The results showed that the algorithm was able to preserving data integrity with 99.13% and up to 100% accuracy.
format Thesis
author Che Ya, Mohamad Fakhrul Syafiq
spellingShingle Che Ya, Mohamad Fakhrul Syafiq
Automated data process in participatory sensing using QR-code and EAN-13 barcode
author_facet Che Ya, Mohamad Fakhrul Syafiq
author_sort Che Ya, Mohamad Fakhrul Syafiq
title Automated data process in participatory sensing using QR-code and EAN-13 barcode
title_short Automated data process in participatory sensing using QR-code and EAN-13 barcode
title_full Automated data process in participatory sensing using QR-code and EAN-13 barcode
title_fullStr Automated data process in participatory sensing using QR-code and EAN-13 barcode
title_full_unstemmed Automated data process in participatory sensing using QR-code and EAN-13 barcode
title_sort automated data process in participatory sensing using qr-code and ean-13 barcode
publishDate 2018
url http://psasir.upm.edu.my/id/eprint/68913/1/FSKTM%202018%2030%20-%20IR.pdf
http://psasir.upm.edu.my/id/eprint/68913/
_version_ 1643839343236743168
score 13.211869

Similar Items