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dc.contributor.advisorHuq, Rachaen Mahfuz
dc.contributor.authorHasan, S. M. Ferdous
dc.contributor.authorMurshed, Adnan Bin
dc.contributor.authorHayat, Ahrar
dc.date.accessioned2018-02-06T10:26:38Z
dc.date.available2018-02-06T10:26:38Z
dc.date.copyright2016
dc.date.issued2016-12
dc.identifier.otherID 13110028
dc.identifier.otherID 13110001
dc.identifier.otherID 13321086
dc.identifier.urihttp://hdl.handle.net/10361/9407
dc.descriptionThis thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Electronic and Communication Engineering & Electrical and Electronic Engineering, 2016.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (page 35-36).
dc.description.abstractIn the present era of research on Internet of Things (IoT) and Machinetype- Communications (MTC), there is a growing need of cross platform solutions for short range communication techniques between machines. The short range communication standards of present day (Wi-Fi, Bluetooth etc) were mainly developed for large data streams, but machine type communications data are usually smaller in size, less complex in nature, but more frequent and more congestive due to the deemed large volume of participatory devices at a particular area. In this project we explored the potential of audio waves as a interoperable cross-platform solution for small scale data and short range Machine-type-Communications (MTC).en_US
dc.description.statementofresponsibilityS. M. Ferdous Hasan
dc.description.statementofresponsibilityAdnan Bin Murshed
dc.description.statementofresponsibilityAhrar Hayat
dc.format.extent36 pages
dc.language.isoenen_US
dc.publisherBRAC Univeristyen_US
dc.rightsBRAC University thesis is protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectAudio waveen_US
dc.subjectAndroiden_US
dc.subjectData shareen_US
dc.subjectSignalen_US
dc.titleTowards a cross platform solution to share small scale data across smart–devices using audio waves: a prototype development in android environmenten_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Electrical and Electronic Engineering, BRAC University
dc.description.degreeB. Electrical and Electronic Engineering 


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