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Smell Print: CMS-SEN Model for Odor Perception

Prathyusha Kanakam1 , ASN Chakravarthy2

Section:Research Paper, Product Type: Journal-Paper
Vol.9 , Issue.4 , pp.1-7, Aug-2021


Online published on Aug 31, 2021


Copyright © Prathyusha Kanakam, ASN Chakravarthy . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: Prathyusha Kanakam, ASN Chakravarthy, “Smell Print: CMS-SEN Model for Odor Perception,” International Journal of Scientific Research in Computer Science and Engineering, Vol.9, Issue.4, pp.1-7, 2021.

MLA Style Citation: Prathyusha Kanakam, ASN Chakravarthy "Smell Print: CMS-SEN Model for Odor Perception." International Journal of Scientific Research in Computer Science and Engineering 9.4 (2021): 1-7.

APA Style Citation: Prathyusha Kanakam, ASN Chakravarthy, (2021). Smell Print: CMS-SEN Model for Odor Perception. International Journal of Scientific Research in Computer Science and Engineering, 9(4), 1-7.

BibTex Style Citation:
@article{Kanakam_2021,
author = {Prathyusha Kanakam, ASN Chakravarthy},
title = {Smell Print: CMS-SEN Model for Odor Perception},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {8 2021},
volume = {9},
Issue = {4},
month = {8},
year = {2021},
issn = {2347-2693},
pages = {1-7},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=2456},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=2456
TI - Smell Print: CMS-SEN Model for Odor Perception
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - Prathyusha Kanakam, ASN Chakravarthy
PY - 2021
DA - 2021/08/31
PB - IJCSE, Indore, INDIA
SP - 1-7
IS - 4
VL - 9
SN - 2347-2693
ER -

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Abstract :
Smell printing is a novel technical term that integrated with two intra activities - odor analysis and odor encoding. The step of Smell Printing into various applications proves its greater influence towards the solution of many problems like human identification, finding severity of pollutants in the environment, gas leakages, food spoilages and many more. The odor is the unique biological feature that any specimen on the universe holds and they can be identified by their distinctive trademark which has become the core idea behind the work. This work illustrates the study of odor, criteria of odor of a specific object and the process of encoding chemicals structure of odorants. Comparison is made between two traditional olfaction systems of humans and canines based on the receptors they possess individually which gives the clarification of olfaction in the identification of any specimen. This work also projects the Cogno Monitoring System (CMS) by combining the typical traits of both the olfaction systems with Sensing-Encoding-Notifying (SEN) Model.

Key-Words / Index Term :
Odorants; Odor analysis; Odor encoding; Smell-print; Receptors

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