PMID- 23529119
OWN - NLM
STAT- MEDLINE
DCOM- 20131231
LR  - 20211021
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 13
IP  - 3
DP  - 2013 Mar 1
TI  - Gas sensors characterization and multilayer perceptron (MLP) hardware 
      implementation for gas identification using a Field Programmable Gate Array 
      (FPGA).
PG  - 2967-85
LID - 10.3390/s130302967 [doi]
AB  - This paper develops a primitive gas recognition system for discriminating between 
      industrial gas species. The system under investigation consists of an array of 
      eight micro-hotplate-based SnO2 thin film gas sensors with different selectivity 
      patterns. The output signals are processed through a signal conditioning and 
      analyzing system. These signals feed a decision-making classifier, which is 
      obtained via a Field Programmable Gate Array (FPGA) with Very High-Speed 
      Integrated Circuit Hardware Description Language. The classifier relies on a 
      multilayer neural network based on a back propagation algorithm with one hidden 
      layer of four neurons and eight neurons at the input and five neurons at the 
      output. The neural network designed after implementation consists of twenty 
      thousand gates. The achieved experimental results seem to show the effectiveness 
      of the proposed classifier, which can discriminate between five industrial gases.
FAU - Benrekia, Faycal
AU  - Benrekia F
AD  - Laboratory of Instrumentation (LINS), Faculty of Electronics and Computers, USTHB 
      PO Box 32, Bab Ezzouar 16111, Algiers, Algeria. benrekia.faycal@univ-medea.dz
FAU - Attari, Mokhtar
AU  - Attari M
FAU - Bouhedda, Mounir
AU  - Bouhedda M
LA  - eng
PT  - Journal Article
DEP - 20130301
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
RN  - 0 (Gases)
SB  - IM
MH  - *Algorithms
MH  - *Equipment Design
MH  - Gases/classification/*isolation & purification
MH  - Humans
MH  - Industry
MH  - Neural Networks, Computer
MH  - Signal Processing, Computer-Assisted
PMC - PMC3658725
EDAT- 2013/03/27 06:00
MHDA- 2014/01/01 06:00
PMCR- 2013/03/01
CRDT- 2013/03/27 06:00
PHST- 2013/01/07 00:00 [received]
PHST- 2013/01/31 00:00 [revised]
PHST- 2013/02/21 00:00 [accepted]
PHST- 2013/03/27 06:00 [entrez]
PHST- 2013/03/27 06:00 [pubmed]
PHST- 2014/01/01 06:00 [medline]
PHST- 2013/03/01 00:00 [pmc-release]
AID - s130302967 [pii]
AID - sensors-13-02967 [pii]
AID - 10.3390/s130302967 [doi]
PST - epublish
SO  - Sensors (Basel). 2013 Mar 1;13(3):2967-85. doi: 10.3390/s130302967.