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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

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Received: 13 December 2010 / Revised: 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 binary decision tree; classifier; gas identification; hardware implementation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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.

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