Embedded Platform for Gas Applications Using Hardware/Software Co-Design and RFID

Amine Ait Si Ali, Ali Farhat, Saqib Mohamad, Abbes Amira, Faycal Bensaali, Mohieddine Benammar, Amine Bermak

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper presents the development of a wireless low power reconfigurable self-calibrated multi-sensing platform for gas sensing applications. The proposed electronic nose (EN) system monitors gas temperatures, concentrations, and mixtures wirelessly using the radio-frequency identification (RFID) technology. The EN takes the form of a set of gas and temperature sensors and multiple pattern recognition algorithms implemented on the Zynq system on chip (SoC) platform. The gas and temperature sensors are integrated on a semi-passive RFID tag to reduce the consumed power. Various gas sensors are tested, including an in-house fabricated 4× 4 SnO2based sensor and seven commercial Figaro sensors. The data is transmitted to the Zynq based processing unit using a RFID reader, where it is processed using multiple pattern recognition algorithms for dimensionality reduction and classification. Multiple algorithms are explored for optimum performance, including principal component analysis (PCA) and linear discriminant analysis (LDA) for dimensionality reduction while decision tree (DT) and k-nearest neighbors (KNN) are assessed for classification purpose. Different gases are targeted at diverse concentration, including carbon monoxide (CO), ethanol (C2H6O), carbon dioxide (CO2), propane (C3H8), ammonia (NH3), and hydrogen (H2). An accuracy of 100% is achieved in many cases with an overall accuracy above 90% in most scenarios. Finally, the hardware/software heterogeneous solution to implementation PCA, LDA, DT, and KNN on the Zynq SoC shows promising results in terms of resources usage, power consumption, and processing time.

Original languageEnglish
Pages (from-to)4633-4642
Number of pages10
JournalIEEE Sensors Journal
Volume18
Issue number11
DOIs
Publication statusPublished - 1 Jun 2018

Fingerprint

Chemical sensors
Radio frequency identification (RFID)
radio frequencies
hardware
platforms
Discriminant analysis
Temperature sensors
Decision trees
computer programs
Hardware
Principal component analysis
Pattern recognition
sensors
Gases
gases
temperature sensors
principal components analysis
pattern recognition
Sensors
Processing

Keywords

  • E-Nose
  • gas sensing
  • real-time processing
  • RFID tag
  • temperature sensing
  • Zynq SoC

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Ali, A. A. S., Farhat, A., Mohamad, S., Amira, A., Bensaali, F., Benammar, M., & Bermak, A. (2018). Embedded Platform for Gas Applications Using Hardware/Software Co-Design and RFID. IEEE Sensors Journal, 18(11), 4633-4642. https://doi.org/10.1109/JSEN.2018.2822711

Embedded Platform for Gas Applications Using Hardware/Software Co-Design and RFID. / Ali, Amine Ait Si; Farhat, Ali; Mohamad, Saqib; Amira, Abbes; Bensaali, Faycal; Benammar, Mohieddine; Bermak, Amine.

In: IEEE Sensors Journal, Vol. 18, No. 11, 01.06.2018, p. 4633-4642.

Research output: Contribution to journalArticle

Ali, AAS, Farhat, A, Mohamad, S, Amira, A, Bensaali, F, Benammar, M & Bermak, A 2018, 'Embedded Platform for Gas Applications Using Hardware/Software Co-Design and RFID', IEEE Sensors Journal, vol. 18, no. 11, pp. 4633-4642. https://doi.org/10.1109/JSEN.2018.2822711
Ali AAS, Farhat A, Mohamad S, Amira A, Bensaali F, Benammar M et al. Embedded Platform for Gas Applications Using Hardware/Software Co-Design and RFID. IEEE Sensors Journal. 2018 Jun 1;18(11):4633-4642. https://doi.org/10.1109/JSEN.2018.2822711
Ali, Amine Ait Si ; Farhat, Ali ; Mohamad, Saqib ; Amira, Abbes ; Bensaali, Faycal ; Benammar, Mohieddine ; Bermak, Amine. / Embedded Platform for Gas Applications Using Hardware/Software Co-Design and RFID. In: IEEE Sensors Journal. 2018 ; Vol. 18, No. 11. pp. 4633-4642.
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