DocumentCode :
131389
Title :
A signal acquisition and processing chip with built-in cluster for chemiresistive gas sensor array
Author :
Shih-Wen Chiu ; Jen-Huo Wang ; Kwuang-Han Chang ; Hiang-Chiu Wu ; Hsin Chen ; Chih-Cheng Hsieh ; Meng-Fan Chang ; Guoxing Wang ; Kea-Tiong Tang
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fYear :
2014
fDate :
22-25 June 2014
Firstpage :
428
Lastpage :
431
Abstract :
This paper presents a signal acquisition and processing chip. The chip connects with a chemiresistive sensor array and directly acquires array data. A built-in neural network cluster enhances the signal processing ability of the proposed chip and enlarges the distance between various odour groups. When noise is induced in the training phase, the cluster is robust against background interference. The chip is space-efficient and features a flexible hardware structure. The chip was fabricated using the TSMC 90-nm CMOS process. The chip area is 2.0 × 2.6 mm2. The supply voltage is 1.0 V. The power consumption is approximately 4 mW. The measurements revealed that the chip excellently identified the odours of methanol, ethanol, and a mixture of 50% methanol + 50% ethanol. Gas-sensing systems based on this signal acquisition and processing chip can be extensively implemented in diverse applications.
Keywords :
CMOS integrated circuits; electronic noses; organic compounds; power consumption; signal detection; TSMC CMOS process; built-in neural network cluster; chemiresistive gas sensor array; ethanol; flexible hardware structure; gas-sensing systems; methanol; odours; power consumption; processing chip; signal acquisition; size 90 nm; voltage 1 V; Arrays; Microprocessors; Neural networks; Power demand; Radiation detectors; Random access memory; Signal processing; chemiresistive sensor; gas-sensing system; gas-sensor array; neural network cluster;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Circuits and Systems Conference (NEWCAS), 2014 IEEE 12th International
Conference_Location :
Trois-Rivieres, QC
Type :
conf
DOI :
10.1109/NEWCAS.2014.6934074
Filename :
6934074
Link To Document :
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