Real-time identification of indoor pollutant source positions based on neural network locator of contaminant sources and optimized sensor networks

Journal of the Air and Waste Management Association

Volumn 60, Issue 9, 2010, Pages 1034-1048

  Vukovic, Vladimir ^a   Tabares Velasco, Paulo Cesar ^a   Srebric, Jelena ^a  

^a The Pennsylvania State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL FLUID DYNAMICS; FORECASTING; NEURAL NETWORKS; NITROGEN OXIDES; SENSOR NETWORKS; SOFTWARE TESTING; SULFUR DIOXIDE;

CONCENTRATION DISTRIBUTIONS; CONTAMINANT CONCENTRATIONS; CONTAMINANT DISTRIBUTIONS; ENVIRONMENTAL CONTAMINANT; IDENTIFICATION OF SOURCES; NEURAL NETWORK TRAINING; POTENTIAL CONTAMINANTS; REAL-TIME IDENTIFICATION;

CONTAMINATION;

AIR POLLUTANT; AIR POLLUTION; ALARM MONITOR; ALGORITHM; AMBIENT AIR; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL WARFARE; BUILDING; COMPUTER PROGRAM; DATA ANALYSIS; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL IMPACT; FOURIER TRANSFORMATION; INFRARED SPECTROSCOPY; ION MOBILITY SPECTROMETRY; MATHEMATICAL MODEL; PRIORITY JOURNAL; SENSOR; SURFACE ENHANCED RAMAN SPECTROSCOPY; TECHNOLOGY; VALIDATION STUDY; WATER CONTAMINATION; WIND; AIR; COMPUTER SIMULATION; ENVIRONMENTAL MONITORING; HUMAN; INDOOR AIR POLLUTION; METHODOLOGY; THEORETICAL MODEL;

AIR MOVEMENTS; AIR POLLUTANTS; AIR POLLUTION, INDOOR; COMPUTER SIMULATION; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; HUMANS; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER);

EID: 77957896243     PISSN: 10962247     EISSN: 21622906     Source Type: Journal    
DOI: 10.3155/1047-3289.60.9.1034     Document Type: Article

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