File compression using typogenetic computation

Chan, A; Chaczko, Z; Chiu, C; Zielinski, R

File compression using typogenetic computation

Chan, A Chaczko, Z

Chiu, C

Zielinski, R

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008, 2008, pp. 202 - 208
Issue Date:: 2008-12-01

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Field	Value	Language
dc.contributor.author	Chan, A	en_US
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.author	Chiu, C https://orcid.org/0000-0003-2045-5961	en_US
dc.contributor.author	Zielinski, R	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008, 2008, pp. 202 - 208	en_US
dc.identifier.isbn	9780769534534	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12020
dc.description.abstract	Typogenetic algorithms are a break from classical approaches to computation. Based on gene expression and intercellular processes, typo-genetic computation can offer a new approach to the algorithmic problems of system security, data compression and encryption. The method has a potential of much higher compression ratios at the limited computational costs i.e. processing time. This paper presents a formal system based on typogenetics for the purposes of compression. Lossless data compression is an important part of computer science. While the ability to reduce consumption of hard disk space or transmission bandwidth through statistical redundancy has served well in the past, the explosive growth in high quality media content (.mp3, .mpg) on the internet in the past few years have highlighted the limitations of traditional statistical techniques for compression. © 2008 IEEE.	en_US
dc.relation.ispartof	Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008	en_US
dc.relation.isbasedon	10.1109/BROADCOM.2008.79	en_US
dc.title	File compression using typogenetic computation	en_US
dc.type	Conference Proceeding
utslib.for	0804 Data Format	en_US
dc.location.activity	Pretoria, Gauteng, South Africa	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Architecture
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

Typogenetic algorithms are a break from classical approaches to computation. Based on gene expression and intercellular processes, typo-genetic computation can offer a new approach to the algorithmic problems of system security, data compression and encryption. The method has a potential of much higher compression ratios at the limited computational costs i.e. processing time. This paper presents a formal system based on typogenetics for the purposes of compression. Lossless data compression is an important part of computer science. While the ability to reduce consumption of hard disk space or transmission bandwidth through statistical redundancy has served well in the past, the explosive growth in high quality media content (*.mp3, *.mpg) on the internet in the past few years have highlighted the limitations of traditional statistical techniques for compression. © 2008 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/12020