alexa DNA based computing for understanding complex shapes.


International Journal of Swarm Intelligence and Evolutionary Computation

Author(s): Ullah AM, DAddona D, Arai N

Abstract Share this page

Abstract This study deals with a computing method called DNA based computing (DBC) that takes inspiration from the Central Dogma of Molecular Biology. The proposed DBC uses a set of user-defined rules to create a DNA-like sequence from a given piece of problem-relevant information (e.g., image data) in a dry-media (i.e., in an ordinary computer). It then uses another set of user-defined rules to create an mRNA-like sequence from the DNA. Finally, it uses the genetic code to translate the mRNA (or directly the DNA) to a protein-like sequence (a sequence of amino acids). The informational characteristics of the protein (entropy, absence, presence, abundance of some selected amino acids, and relationships among their likelihoods) can be used to solve problems (e.g., to understand complex shapes from their image data). Two case studies ((1) fractal geometry generated shape of a fern-leaf and (2) machining experiment generated shape of the worn-zones of a cutting tool) are presented elucidating the shape understanding ability of the proposed DBC in the presence of a great deal of variability in the image data of the respective shapes. The implication of the proposed DBC from the context of Internet-aided manufacturing system is also described. Further study can be carried out in solving other complex computational problems by using the proposed DBC and its derivatives. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved. This article was published in Biosystems and referenced in International Journal of Swarm Intelligence and Evolutionary Computation

Relevant Expert PPTs

Relevant Speaker PPTs

Recommended Conferences

  • International conference on Artificial Intelligence
    June 28-29, 2017, San Diego, USA
  • 3rd International Conference on Data Structures and Data Mining
    August 17-18, 2017, Toronto, Canada
  • 4th International Conference on BigData Analysis and Data Mining
    September 07-08, 2017, Paris, France
  • 6th International Conference on Biostatistics and Bioinformatics
    Nov 13-14, 2017, Atlanta, USA
  • 4th World Congress on Robotics and Artificial Intelligence
    October 23-24, 2017

Relevant Topics

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

1-702-714-7001Extn: 9037

Business & Management Journals


1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

1-702-714-7001 Extn: 9042

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version