International Journal of Reconfigurable and Embedded Systems (IJRES)
Vol 6, No 3: November 2017

Metal Oxides Semiconductor Sensors for Odor Classification

Nyayu Latifah Husni (Institut Teknologi Bandung)
Ade Silvia (Institut Teknologi Bandung)
Siti Nurmaini (Universitas Sriwijaya)
Irsyadi Yani (Universitas Sriwijaya)



Article Info

Publish Date
01 Nov 2017

Abstract

The performance of gas sensor will differ and vary due to the surrounding environment changing, the way of implementation, and the position of the sensors to the source. To reach a good result on gas sensors implementation, a performance test on sensors is needed. The results of the tests are useful for characterizing the properties of the particular material or device. This paper discusses the performances of metal oxides semiconductor (MOS) sensors. The sensors are tested to determine the sensors' time response, sensors' peak duration, sensors' sensitivity, and sensors' stability of the sensor when applied to the various sources at different range. Three sources were used in experimental test, namely: ethanol, methanol, and acetone. The gas sensors characteristics are analyzed in open sampling method in order to see the sensors' sensitivity to the uncertainty disturbances, such as wind. The result shows that metal oxides semiconductor sensor was responsive to the 3 sources not only in static but also dynamic conditions. The expected outcome of this study is to predict the MOS sensors' performance when they are applied in robotic implementation. This performance was considered as the training datasets of the sensor for odor classification in this research. From the experiments, It was got, in dynamic experiment, the senrors has average of precision of 93.8-97%, the accuracy 93.3-96.7%, and the recall 93.3-96.7%. This values indicates that the sensors were selective to the odor they sensed.

Copyrights © 2017






Journal Info

Abbrev

IJRES

Publisher

Subject

Economics, Econometrics & Finance

Description

The centre of gravity of the computer industry is now moving from personal computing into embedded computing with the advent of VLSI system level integration and reconfigurable core in system-on-chip (SoC). Reconfigurable and Embedded systems are increasingly becoming a key technological component ...