Development of gene motif modulation for information processing in artificial DNA computing

In the artificial DNA computing model, the MAS (Multi-Agent System) algorithm depicts the sender agent transmits moleware information through the control agent which is then converted to binary data as input to the receiver agent. Gene Motif switching method in the control agent provides the key fun...

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Main Authors:	Shamsudin, Ahmad Faizul, Suhaimi, Mohd Adam, Ibrahim Ali , Noorbatcha, Hussin, Ummu Salamah, A. F., Alya Khadijah, D., Nor Hidayah
Format:	Conference or Workshop Item
Language:	English English
Published:	2014
Subjects:	TP248.13 Biotechnology
Online Access:	http://irep.iium.edu.my/44215/ http://irep.iium.edu.my/44215/1/ICT4M_2014_Paper_ID50.pdf http://irep.iium.edu.my/44215/2/ICT4M_Schedule.pdf

id	iium-44215
recordtype	eprints
spelling	iium-442152015-08-18T02:26:56Z http://irep.iium.edu.my/44215/ Development of gene motif modulation for information processing in artificial DNA computing Shamsudin, Ahmad Faizul Suhaimi, Mohd Adam Ibrahim Ali , Noorbatcha Hussin, Ummu Salamah A. F., Alya Khadijah D., Nor Hidayah TP248.13 Biotechnology In the artificial DNA computing model, the MAS (Multi-Agent System) algorithm depicts the sender agent transmits moleware information through the control agent which is then converted to binary data as input to the receiver agent. Gene Motif switching method in the control agent provides the key function for this binary switch and also as an error correcting and redundant modulator. Parity Principles and Hemming code lattice methods are used for Gene Motif binary switching and modulation. The results indicate improvement in the convergence of information decay between artificial and natural systems using the later method. Further development of Gene Motif binary switch in artificial DNA computing may lead to a MAS algorithm that can simulate a natural DNA computing. Keywords— DNA computing, Signal Modulation, Gene Motif, Entropy, Multi-Agent System) 2014 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/44215/1/ICT4M_2014_Paper_ID50.pdf application/pdf en http://irep.iium.edu.my/44215/2/ICT4M_Schedule.pdf Shamsudin, Ahmad Faizul and Suhaimi, Mohd Adam and Ibrahim Ali , Noorbatcha and Hussin, Ummu Salamah and A. F., Alya Khadijah and D., Nor Hidayah (2014) Development of gene motif modulation for information processing in artificial DNA computing. In: 2014 The 5th International Conference on Information & Communication Technology for the Muslim World (ICT4M 2014), 17-19 November 2014, Sarawak. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TP248.13 Biotechnology
spellingShingle	TP248.13 Biotechnology Shamsudin, Ahmad Faizul Suhaimi, Mohd Adam Ibrahim Ali , Noorbatcha Hussin, Ummu Salamah A. F., Alya Khadijah D., Nor Hidayah Development of gene motif modulation for information processing in artificial DNA computing
description	In the artificial DNA computing model, the MAS (Multi-Agent System) algorithm depicts the sender agent transmits moleware information through the control agent which is then converted to binary data as input to the receiver agent. Gene Motif switching method in the control agent provides the key function for this binary switch and also as an error correcting and redundant modulator. Parity Principles and Hemming code lattice methods are used for Gene Motif binary switching and modulation. The results indicate improvement in the convergence of information decay between artificial and natural systems using the later method. Further development of Gene Motif binary switch in artificial DNA computing may lead to a MAS algorithm that can simulate a natural DNA computing. Keywords— DNA computing, Signal Modulation, Gene Motif, Entropy, Multi-Agent System)
format	Conference or Workshop Item
author	Shamsudin, Ahmad Faizul Suhaimi, Mohd Adam Ibrahim Ali , Noorbatcha Hussin, Ummu Salamah A. F., Alya Khadijah D., Nor Hidayah
author_facet	Shamsudin, Ahmad Faizul Suhaimi, Mohd Adam Ibrahim Ali , Noorbatcha Hussin, Ummu Salamah A. F., Alya Khadijah D., Nor Hidayah
author_sort	Shamsudin, Ahmad Faizul
title	Development of gene motif modulation for information processing in artificial DNA computing
title_short	Development of gene motif modulation for information processing in artificial DNA computing
title_full	Development of gene motif modulation for information processing in artificial DNA computing
title_fullStr	Development of gene motif modulation for information processing in artificial DNA computing
title_full_unstemmed	Development of gene motif modulation for information processing in artificial DNA computing
title_sort	development of gene motif modulation for information processing in artificial dna computing
publishDate	2014
url	http://irep.iium.edu.my/44215/ http://irep.iium.edu.my/44215/1/ICT4M_2014_Paper_ID50.pdf http://irep.iium.edu.my/44215/2/ICT4M_Schedule.pdf
first_indexed	2023-09-18T21:02:53Z
last_indexed	2023-09-18T21:02:53Z
_version_	1777410741024849920

Development of gene motif modulation for information processing in artificial DNA computing

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