J. Low Power Electron. Appl. 2011, 1(1), 45-58; doi:10.3390/jlpea1010045
Article

A Low-Power Hardware-Friendly Binary Decision Tree Classifier for Gas Identification

Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Kowloon, Hong Kong, China
* Author to whom correspondence should be addressed.
Received: 13 December 2010; in revised form: 1 March 2011 / Accepted: 2 March 2011 / Published: 9 March 2011
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Abstract: In this paper, we present a hardware friendly binary decision tree (DT) classifier for gas identification. The DT classifier is based on an axis-parallel decision tree implemented as threshold networks—one layer of threshold logic units (TLUs) followed by a programmable binary tree implemented using combinational logic circuits. The proposed DT classifier circuit removes the need for multiplication operation enabling up to 80% savings in terms of silicon area and power compared to oblique based-DT while achieving 91.36% classification accuracy without throughput degradation. The circuit was designed in 0.18 μm Charter CMOS process and tested using a data set acquired with in-house fabricated tin-oxide gas sensors.
Keywords: binary decision tree; classifier; gas identification; hardware implementation

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MDPI and ACS Style

Li, Q.; Bermak, A. A Low-Power Hardware-Friendly Binary Decision Tree Classifier for Gas Identification. J. Low Power Electron. Appl. 2011, 1, 45-58.

AMA Style

Li Q, Bermak A. A Low-Power Hardware-Friendly Binary Decision Tree Classifier for Gas Identification. Journal of Low Power Electronics and Applications. 2011; 1(1):45-58.

Chicago/Turabian Style

Li, Qingzheng; Bermak, Amine. 2011. "A Low-Power Hardware-Friendly Binary Decision Tree Classifier for Gas Identification." J. Low Power Electron. Appl. 1, no. 1: 45-58.

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