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DOI: 10.14569/IJACSA.2019.0100609
PDF

Two Dimensional Electronic Nose for Vehicular Central Locking System (E-Nose-V)

Author 1: Mahmoud Zaki Iskandarani

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 6, 2019.

  • Abstract and Keywords
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Abstract: A new approach to vehicle security is proposed, tried, tested. The designed and tested system comprises an odor detection system (E-Nose) that sends signals corresponding to selected odors to the smart vehicle Electronic Control Unit (ECU), which is interfaced to a smart system with neural networks. The signal is interpreted in time and space, whereby a certain ordered number of samples should be obtained before the vehicle functions are unlocked. Correlation of rise and decay times and amplitudes of the signal is carried out to ensure security. The proposed system is highly secured and could be further developed to become a vital and integrated part of Intelligent Transportation Systems (ITS) through the addition of driver’s body odor smell as an extra measure of security and in cases of accidents to auto call emergency services with driver identification and some diagnostics. Such system can be utilized in smart cities.

Keywords: Odors; E-Nose; neural networks; security; correlation; smart vehicles; intelligent transportation systems; smart cities

Mahmoud Zaki Iskandarani, “Two Dimensional Electronic Nose for Vehicular Central Locking System (E-Nose-V)” International Journal of Advanced Computer Science and Applications(IJACSA), 10(6), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100609

@article{Iskandarani2019,
title = {Two Dimensional Electronic Nose for Vehicular Central Locking System (E-Nose-V)},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100609},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100609},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {6},
author = {Mahmoud Zaki Iskandarani}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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