Gas identification with spike codes in wireless electronic nose: A potential application for smart green buildings

IntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference

Volumn , Issue , 2015, Pages 457-462

  Hassan, Muhammad ^a   Bermak, Amine ^a,b   Ali, Amine Ait Si ^c   Amira, Abbes ^c  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b HAMAD BIN KHALIFA UNIVERSITY   (Qatar)

^c Qatar University   (Qatar)

Author keywords

Confidence coefficient; Spike codes; Transient features; Wireless electronic nose

Indexed keywords

AIR QUALITY; CARBON; CARBON DIOXIDE; CHEMICAL SENSORS; CODES (SYMBOLS); ENCODING (SYMBOLS); GASES; INDOOR AIR POLLUTION; INTELLIGENT BUILDINGS; INTELLIGENT SYSTEMS; NITROGEN; NITROGEN OXIDES; SENSORY AIDS; SULFUR DIOXIDE;

CLASSIFICATION DECISION; CONFIDENCE COEFFICIENT; INDUSTRIAL SOLUTIONS; LABORATORY ENVIRONMENT; SICK BUILDING SYNDROME; SPIKE CODES; TRANSIENT FEATURES; WIRELESS ELECTRONIC NOSE SYSTEM;

ELECTRONIC NOSE;

EID: 84962731740     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IntelliSys.2015.7361180     Document Type: Conference Paper

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