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...

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Main Author:	Che Ya, Mohamad Fakhrul Syafiq
Format:	Thesis
Language:	English
Published:	2018
Subjects:	QR codes Bar coding Mobile computing
Online Access:	http://psasir.upm.edu.my/id/eprint/68913/1/FSKTM%202018%2030%20-%20IR.pdf
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id	my-upm-ir.68913
record_format	uketd_dc
spelling	my-upm-ir.689132019-06-18T01:36:43Z Automated data process in participatory sensing using QR-code and EAN-13 barcode 2018-01 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. QR codes Bar coding Mobile computing 2018-01 Thesis http://psasir.upm.edu.my/id/eprint/68913/ http://psasir.upm.edu.my/id/eprint/68913/1/FSKTM%202018%2030%20-%20IR.pdf text en public masters Universiti Putra Malaysia QR codes Bar coding Mobile computing
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	QR codes Bar coding Mobile computing
spellingShingle	QR codes Bar coding Mobile computing Che Ya, Mohamad Fakhrul Syafiq Automated data process in participatory sensing using QR-code and EAN-13 barcode
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
qualification_level	Master's degree
author	Che Ya, Mohamad Fakhrul Syafiq
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
granting_institution	Universiti Putra Malaysia
publishDate	2018
url	http://psasir.upm.edu.my/id/eprint/68913/1/FSKTM%202018%2030%20-%20IR.pdf
_version_	1747812648158756864

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

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