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Paradigms in Computer Vision: Biology Based Carbon Domain Postulates Nano Electronic Devices for Generation Next

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • Rajasekaran Ekambaram

    (V.S.B. Engineering College, Department of Chemistry)

  • Meenal Rajasekaran

    (Karunya Institute of Technology and Sciences, Department of Electrical and Electronics Engineering)

  • Indupriya Rajasekaran

    (Kazan Federal University, Institute of Fundamental Medicine and Biology)

Abstract

Nano fabrication of carbon based molecular domain called electro-magnetic nano domain is identified here as an extension of our earlier work on carbon optimized domain in biological systems. Identification suggests that nano fabrication of silicon chip can be replaced by carbon domain where carbon value works out to be both least conductor and conductor. Carbon rich portion attenuate electrons while the carbon domain with defined value highly conductor of current. Demonstrations are here to show how carbon value possesses a dual character of electrical conductance and least conductance. It is hoped that the principle of 31.45% of carbon around individual atoms is individually fabricated for the domain. The results are in agreement to the above value. The carbon fraction distributions in viral protein reveal that it follows an abnormal carbon fraction distribution than that of normal one. It is demonstrated that the carbon fraction distribution plays an important role in deciding the structure and assembly of the proteins. It will be helpful in understanding the molecular structure and nano fabrication of electronic devices. Clue on fabrication technology has been introduced in order to fabricate information technology for tomorrow’s computer and allied nature.

Suggested Citation

  • Rajasekaran Ekambaram & Meenal Rajasekaran & Indupriya Rajasekaran, 2020. "Paradigms in Computer Vision: Biology Based Carbon Domain Postulates Nano Electronic Devices for Generation Next," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 371-378, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-41862-5_35
    DOI: 10.1007/978-3-030-41862-5_35
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