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Artificial olfactory system and an application thereof


Citation

Mohd Nizar Hamidon (2017) Artificial olfactory system and an application thereof. US:14/284,617.

Abstract

The present invention relates to an artificial olfactory system ( 100 ), comprising of an inlet ( 101 ); a gas chamber ( 110 ) having a detector means, connected to a data acquisition system ( 104 ); a heater ( 112 ) and a plurality of fans ( 115 ); a humidity absorber ( 111 ); an outlet ( 102 ); a vacuum pump ( 103 ); characterized by the detector means having a plurality of sensors ( 121 ) in each of a plurality of clusters ( 120 ), wherein the plurality of sensors ( 121 ) in each of the plurality of clusters ( 120 ) comprises identical sensors capable of responding to a particular gas or vapor. The present invention also relates to a method for detecting a gas or a vapor from the artificial olfactory system ( 100 ), comprising the step of exposing the gas or vapor to the plurality of sensors ( 121 ) to produce a plurality of output signals from the plurality of sensors ( 121 ); transferring the plurality of output signals to the data acquisition system ( 104 ); extracting median data from the plurality of output signals; applying a principal component analysis (PCA), neural network, and least square regression analysis on the median data from all of the plurality of clusters ( 120 ).


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Additional Metadata

Item Type: Patent
Subject: Engineering
Subject: Computer Science
Subject: Chemistry
Application Number: US:14/284,617
Registration Number: US:9651529
Filing Date: 2014-05-22
Granted Date: 2017-05-16
Divisions: Universiti Putra Malaysia
Keywords: Artificial olfactory system; Gas detection; Vapor detection; Sensor array; Detector means; Data acquisition system; Humidity absorber; Principal component analysis (PCA); Neural network; Least squares regression analysis
Sustainable Development Goals (SDGs): SDG 9: Industry, Innovation and Infrastructure, SDG 3: Good Health and Well-being, SDG 12: Responsible Consumption and Production
Depositing User: Ms. Nur Aina Ahmad Mustafa
Date Deposited: 03 Jul 2026 01:42
Last Modified: 03 Jul 2026 01:42
URI: http://psasir.upm.edu.my/id/eprint/126799
Statistic Details: View Download Statistic

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