Next Article in Journal / Special Issue
Power-Performance Tradeoffs in Wide Dynamic Range Image Sensors with Multiple Reset Approach
Previous Article in Journal / Special Issue
A Review and Modern Approach to LC Ladder Synthesis
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

 and *
Received: 13 December 2010; in revised form: 1 March 2011 / Accepted: 2 March 2011 / Published: 9 March 2011
View Full-Text   |   Download PDF [9860 KB, uploaded 9 March 2011]   |   Browse Figures
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.

Export to BibTeX |
EndNote


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.


J. Low Power Electron. Appl. EISSN 2079-9268 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert