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: Proceeding Paper
Language:English
English
Published: 2014
Subjects:
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
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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
building IIUM Repository
collection Online Access
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)
first_indexed 2025-11-14T16:07:36Z
format Proceeding Paper
id iium-44215
institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T16:07:36Z
publishDate 2014
recordtype eprints
repository_type Digital Repository
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 Proceeding Paper 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)
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
title 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_short 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
topic TP248.13 Biotechnology
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