Experimental implementation of direct-proportional length-based DNA computing for elevator scheduling problem

Previously, ideas and implementation methods for solving elevator scheduling problem using DNA computing method had been proposed. In this paper, results of biochemical experiments that have been carried out to realize the computing approach are presented. Every possible elevators travel path combin...

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Main Authors: Muhammad, Mohd. Saufee, Ibrahim, Zuwairie, Ueda, Satomi, Ono, Osamu, Khalid, Marzuki
Format: Conference or Workshop Item
Language:en
Published: 2005
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Online Access:http://eprints.utm.my/1859/1/saufee05_implementation_of_direct_propotional.pdf
http://eprints.utm.my/1859/
https://books.google.com.my/books/about/ICMT_2005.html?id=qj0UDAEACAAJ&redir_esc=y
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author Muhammad, Mohd. Saufee
Ibrahim, Zuwairie
Ueda, Satomi
Ono, Osamu
Khalid, Marzuki
author_facet Muhammad, Mohd. Saufee
Ibrahim, Zuwairie
Ueda, Satomi
Ono, Osamu
Khalid, Marzuki
author_sort Muhammad, Mohd. Saufee
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description Previously, ideas and implementation methods for solving elevator scheduling problem using DNA computing method had been proposed. In this paper, results of biochemical experiments that have been carried out to realize the computing approach are presented. Every possible elevators travel path combinations are encoded by DNA sequences of length directly proportional to the elevator’s traveling time based on certain initial conditions such as elevators present and destination floors, and hall calls from a floor. Parallel overlap assembly is employed for an efficient initial pool generation of all possible travel path combinations and polymerase chain reaction for sequence amplification. Finally, gel electrophoresis is performed to separate the DNA sequence according to its length, and the shortest DNA sequence representing the elevator’s optimal path can thus be visualized from the gel electrophoresis image. The experimental result shows that the DNA computing approach can be wellsuited for solving such real-world problem of this type of nature.
format Conference or Workshop Item
id my.utm.eprints-1859
institution Universiti Teknologi Malaysia
language en
publishDate 2005
record_format eprints
spelling my.utm.eprints-18592017-08-28T00:11:02Z http://eprints.utm.my/1859/ Experimental implementation of direct-proportional length-based DNA computing for elevator scheduling problem Muhammad, Mohd. Saufee Ibrahim, Zuwairie Ueda, Satomi Ono, Osamu Khalid, Marzuki TK Electrical engineering. Electronics Nuclear engineering Previously, ideas and implementation methods for solving elevator scheduling problem using DNA computing method had been proposed. In this paper, results of biochemical experiments that have been carried out to realize the computing approach are presented. Every possible elevators travel path combinations are encoded by DNA sequences of length directly proportional to the elevator’s traveling time based on certain initial conditions such as elevators present and destination floors, and hall calls from a floor. Parallel overlap assembly is employed for an efficient initial pool generation of all possible travel path combinations and polymerase chain reaction for sequence amplification. Finally, gel electrophoresis is performed to separate the DNA sequence according to its length, and the shortest DNA sequence representing the elevator’s optimal path can thus be visualized from the gel electrophoresis image. The experimental result shows that the DNA computing approach can be wellsuited for solving such real-world problem of this type of nature. 2005-12-04 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/1859/1/saufee05_implementation_of_direct_propotional.pdf Muhammad, Mohd. Saufee and Ibrahim, Zuwairie and Ueda, Satomi and Ono, Osamu and Khalid, Marzuki (2005) Experimental implementation of direct-proportional length-based DNA computing for elevator scheduling problem. In: Proceeding of the 9th International Conference on Mechatronics Technology, 5-8 December 2005, Kuala Lumpur. https://books.google.com.my/books/about/ICMT_2005.html?id=qj0UDAEACAAJ&redir_esc=y
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Muhammad, Mohd. Saufee
Ibrahim, Zuwairie
Ueda, Satomi
Ono, Osamu
Khalid, Marzuki
Experimental implementation of direct-proportional length-based DNA computing for elevator scheduling problem
title Experimental implementation of direct-proportional length-based DNA computing for elevator scheduling problem
title_full Experimental implementation of direct-proportional length-based DNA computing for elevator scheduling problem
title_fullStr Experimental implementation of direct-proportional length-based DNA computing for elevator scheduling problem
title_full_unstemmed Experimental implementation of direct-proportional length-based DNA computing for elevator scheduling problem
title_short Experimental implementation of direct-proportional length-based DNA computing for elevator scheduling problem
title_sort experimental implementation of direct-proportional length-based dna computing for elevator scheduling problem
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utm.my/1859/1/saufee05_implementation_of_direct_propotional.pdf
http://eprints.utm.my/1859/
https://books.google.com.my/books/about/ICMT_2005.html?id=qj0UDAEACAAJ&redir_esc=y
url_provider http://eprints.utm.my/