Search results for "Monitoring model"

showing 2 items of 2 documents

Urban Air Quality Monitoring Using Vehicular Sensor Networks

2014

The quality of air is a major concern in modern cities as pollutants have been demonstrated to have significant impact on human health. Networks of fixed monitoring stations have been deployed in urban areas to provide authorities with data to define and enforce dynamically policies to reduce pollutants, for instance by issuing traffic regulation measures. However, fixed networks require careful placement of monitoring stations to be effective. Moreover, changes in urban arrangement, activities, or regulations may affect considerably the monitoring model, especially when budget constraints prevent from relocating stations or adding new ones to the network. In this chapter we discuss a diffe…

PollutantSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryComputer sciencemedia_common.quotation_subjectTraffic regulationMobile monitoringTransport engineeringAir quality monitoringSensor nodePublic transportMonitoring stationEnvironmental monitoringQuality (business)Monitoring modelUrban air qualitybusinessWireless sensor networkVehicular sensor networks Sensor networksmedia_commonEnvironmental Monitoring
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Instrumental Odour Monitoring System Classification Performance Optimization by Analysis of Different Pattern-Recognition and Feature Extraction Tech…

2020

Instrumental odour monitoring systems (IOMS) are intelligent electronic sensing tools for which the primary application is the generation of odour metrics that are indicators of odour as perceived by human observers. The quality of the odour sensor signal, the mathematical treatment of the acquired data, and the validation of the correlation of the odour metric are key topics to control in order to ensure a robust and reliable measurement. The research presents and discusses the use of different pattern recognition and feature extraction techniques in the elaboration and effectiveness of the odour classification monitoring model (OCMM). The effect of the rise, intermediate, and peak period …

electronic noselinear discriminant analysisComputer sciencemedia_common.quotation_subjectFeature extraction02 engineering and technologydata extractionlcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical ChemistryHumansQuality (business)lcsh:TP1-1185Electrical and Electronic Engineeringodour classification monitoring modelInstrumentationmedia_commonElectronic noseArtificial neural networkbusiness.industry010401 analytical chemistryPattern recognition021001 nanoscience & nanotechnologyLinear discriminant analysisAtomic and Molecular Physics and Optics0104 chemical sciencesPattern recognition (psychology)OdorantsMetric (unit)Artificial intelligenceNeural Networks ComputerArtificial neural network; Data extraction; Electronic nose; Linear discriminant analysis; Odour classification monitoring modelElectronics0210 nano-technologybusinessAlgorithmsartificial neural networkEnvironmental MonitoringSensors
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