DNA based computing for understanding complex shapes.
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.
['Ullah|A M M Sharif|AM|', "D'Addona|Doriana|D|", 'Arai|Nobuyuki|N|']
D000595:Amino Acid Sequence D001185:Artificial Intelligence D001483:Base Sequence D032701:Biomimetics D039301:Computers, Molecular D004247:DNA D005556:Form Perception D016247:Information Storage and Retrieval D008969:Molecular Sequence Data D010363:Pattern Recognition, Automated D014176:Protein Biosynthesis D011506:Proteins D012333:RNA, Messenger
DNA based computing Complex shape Fractals Internet-aided manufacturing Nature-inspired computing Pattern recognition Tool-wear