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Research Article | Open Access |

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) · Vol. 10, No. 6 · Published 2019

DOI: https://doi.org/10.14569/IJACSA.2019.0100609

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.

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How to Cite this Article

Iskandarani, M. Z. (2019). Two Dimensional Electronic Nose for Vehicular Central Locking System (E-Nose-V). International Journal of Advanced Computer Science and Applications, 10(6). https://doi.org/10.14569/IJACSA.2019.0100609

Iskandarani, Mahmoud Zaki. "Two Dimensional Electronic Nose for Vehicular Central Locking System (E-Nose-V)." International Journal of Advanced Computer Science and Applications, vol. 10, no. 6, 2019, https://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},
  volume    = {10},
  number    = {6},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Mahmoud Zaki Iskandarani},
  doi       = {10.14569/IJACSA.2019.0100609},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100609}
}

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