Publication:
Handling Words Duplication and Memory Management for Digital Quran Based on Hexadecimal Representation and Sparse Matrix

Simple item page
dc.contributor.authorAshraf Al-Omoushen_US
dc.contributor.authorNorita Md Norwawien_US
dc.contributor.authorAhmad Akmalludin Mazlanen_US
dc.date.accessioned2024-05-28T04:40:32Z
dc.date.available2024-05-28T04:40:32Z
dc.date.issued2018
dc.descriptionVolume:7 No:4.15en_US
dc.description.abstractAl-Quran is the holy book of the Muslims and the most important scripture containing knowledge on many domains. The recent advent of smart technologies like smart phones, digital devices and tablets has connected the daily life routines under a single touch adopted by many, these new tools with an exponential growth. This paper presented a Digital Quran Model (DQM) using hexadecimal representa-tion using Unicode Hexadecimal and UTF-8 for character encoding, which is backward compatible with ASCII code. DQM target to handle all duplicated words or verses in Al-Quran using sparse matrix with double offset indexing to handle memory optimization. Three approaches were discussed: indexing and representation of the digital Quran to optimize storage, organize verses structure using sparse matrix to handle repetition with double offset indexing to efficiently use the space. The algorithms were implemented using Visual studio and Java server and the solution quality was measured by the size of a file before and after applying DQM model. For surah Al-Baqarah, the longest chapter in the Al-Quran, the reduction of the storage size was 25.00% whereas surah Al-Fatihah was 47.89%. The proposed DQM model is able to optimize the memory space and can be extended to other non-Roman characters used for information retrieval such as Hindi, Chinese and Japanese that are categorized in unicode standards.en_US
dc.identifier.doi10.14419/ijet.v7i4.15.25760
dc.identifier.epage485
dc.identifier.issn2227-524X
dc.identifier.issue4.15
dc.identifier.spage481
dc.identifier.urihttps://www.sciencepubco.com/index.php/ijet/article/view/25760
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/6044
dc.identifier.volume7
dc.language.isoen_USen_US
dc.publisherScience Publishing Corporation Inc.en_US
dc.relation.ispartofInternational Journal of Engineering & Technologyen_US
dc.subjectDigital Quran; Hexadecimal Representation; Sparse Matrix; Unicode.en_US
dc.titleHandling Words Duplication and Memory Management for Digital Quran Based on Hexadecimal Representation and Sparse Matrixen_US
dc.typeArticleen_US
dspace.entity.typePublication

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Handling Words Duplication and Memory Management for Digital Quran Based on Hexadecimal Representation and Sparse Matrix.pdf
Size:
786.36 KB
Format:
Adobe Portable Document Format
Download

Collections

Other Publications