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

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Author(s): Qingzheng Li | Amine Bermak

Journal: Journal of Low Power Electronics and Applications
ISSN 2079-9268

Volume: 1;
Issue: 1;
Start page: 45;
Date: 2011;
Original page

Keywords: binary decision tree | classifier | gas identification | hardware implementation

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.
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