Journal of Telecommunication, Electronic and Computer Engineering (JTEC): Vol. 3-5: Special Issue on Software Engineering IIIĬomparative Analysis of Feature Extraction Techniques for Event Detection from News Channels' Facebook Pageįormal Analysis of Temporal Dynamics Properties in Anxiety States and Traits 1-2: Advancing Digital Societies for Social and Cultural ImprovementĪ Hybrid Model for Prime Decision Making in Driving Replica Maintenance Strategy for Data Grid 2-11: The Challenge of Computer and Engineering in Building Sustainable Service Systems I ‘Listening’ To Dyslexic Children’s Reading: The Transcription And Segmentation Accuracy For ASR 8: Science and Technology for Sustainable Development and Improving Quality of Life I I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.Īdaptive Emergency Evacuation Centre Management for Dynamic Relocation of Flood Victims using Firefly Algorithm I agree to inform my co-authors, if any, of the above terms. I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. The right to make copies of the published work for internal distribution within the institution that employs me.The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author and.The right to make further copies of all or part of the published article for my use in classroom teaching.All proprietary right other than copyright, such as patent rights.When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s): It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. It has not been published before, and it is not under consideration for publication in any other journals. The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). The result will be compared with common technique to get the efficiency among the selected compression algorithm after the data was encoded with base64 encoder/decoder. This study focuses on the selection of compression algorithms and use base64 encoder/decoder to increase the capacity of data which is to be stored in the QR code. One of the technique to increase data capacity is by compressing the data and encode it with a suitable data encoder. Several techniques were suggested by researchers to increase the data contents. The QR code has the capability to encode various data formats and languages. The Quick Response (QR) code is an enhancement from one dimensional barcode which was used to store limited capacity of information. QR Code, Data Compression, Base64 Encoder/Decoder. School of Computing, Universiti Utara Malaysia, 06000 Sintok, Kedah.
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