Urban Pollution Environmental Monitoring System Using IoT Devices and Data Visualization: A Case Study. Rosero-Montalvo, P., López-Batista, V., Peluffo-Ordóñez, D., Lorente-Leyva, L., & Blanco-Valencia, X. Volume 11734 LNAI , 2019. doi abstract bibtex © 2019, Springer Nature Switzerland AG. This work presents a new approach to the Internet of Things (IoT) between sensor nodes and data analysis with visualization platform with the purpose to acquire urban pollution data. The main objective is to determine the degree of contamination in Ibarra city in real time. To do this, for one hand, thirteen IoT devices have been implemented. For another hand, a Prototype Selection and Data Balance algorithms comparison in relation to the classifier k-Nearest Neighbourhood is made. With this, the system has an adequate training set to achieve the highest classification performance. As a final result, the system presents a visualization platform that estimates the pollution condition with more than 90% accuracy.
@book{
title = {Urban Pollution Environmental Monitoring System Using IoT Devices and Data Visualization: A Case Study},
type = {book},
year = {2019},
source = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
keywords = {Data analysis,Environmental monitoring,Environmental science computing,Intelligent system},
volume = {11734 LNAI},
id = {92865dbb-3c6f-3e5e-82f5-8d95e581235b},
created = {2019-10-12T23:59:00.000Z},
file_attached = {false},
profile_id = {f01ceea9-1014-347a-b89d-aa69782ea2ee},
last_modified = {2021-01-13T15:59:50.611Z},
read = {false},
starred = {false},
authored = {true},
confirmed = {false},
hidden = {false},
private_publication = {false},
abstract = {© 2019, Springer Nature Switzerland AG. This work presents a new approach to the Internet of Things (IoT) between sensor nodes and data analysis with visualization platform with the purpose to acquire urban pollution data. The main objective is to determine the degree of contamination in Ibarra city in real time. To do this, for one hand, thirteen IoT devices have been implemented. For another hand, a Prototype Selection and Data Balance algorithms comparison in relation to the classifier k-Nearest Neighbourhood is made. With this, the system has an adequate training set to achieve the highest classification performance. As a final result, the system presents a visualization platform that estimates the pollution condition with more than 90% accuracy.},
bibtype = {book},
author = {Rosero-Montalvo, P.D. and López-Batista, V.F. and Peluffo-Ordóñez, D.H. and Lorente-Leyva, L.L. and Blanco-Valencia, X.P.},
doi = {10.1007/978-3-030-29859-3_58}
}
Downloads: 0
{"_id":"tcrXk3qwWbdL9EJaL","bibbaseid":"roseromontalvo-lpezbatista-peluffoordez-lorenteleyva-blancovalencia-urbanpollutionenvironmentalmonitoringsystemusingiotdevicesanddatavisualizationacasestudy-2019","authorIDs":[],"author_short":["Rosero-Montalvo, P.","López-Batista, V.","Peluffo-Ordóñez, D.","Lorente-Leyva, L.","Blanco-Valencia, X."],"bibdata":{"title":"Urban Pollution Environmental Monitoring System Using IoT Devices and Data Visualization: A Case Study","type":"book","year":"2019","source":"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","keywords":"Data analysis,Environmental monitoring,Environmental science computing,Intelligent system","volume":"11734 LNAI","id":"92865dbb-3c6f-3e5e-82f5-8d95e581235b","created":"2019-10-12T23:59:00.000Z","file_attached":false,"profile_id":"f01ceea9-1014-347a-b89d-aa69782ea2ee","last_modified":"2021-01-13T15:59:50.611Z","read":false,"starred":false,"authored":"true","confirmed":false,"hidden":false,"private_publication":false,"abstract":"© 2019, Springer Nature Switzerland AG. This work presents a new approach to the Internet of Things (IoT) between sensor nodes and data analysis with visualization platform with the purpose to acquire urban pollution data. The main objective is to determine the degree of contamination in Ibarra city in real time. To do this, for one hand, thirteen IoT devices have been implemented. For another hand, a Prototype Selection and Data Balance algorithms comparison in relation to the classifier k-Nearest Neighbourhood is made. With this, the system has an adequate training set to achieve the highest classification performance. As a final result, the system presents a visualization platform that estimates the pollution condition with more than 90% accuracy.","bibtype":"book","author":"Rosero-Montalvo, P.D. and López-Batista, V.F. and Peluffo-Ordóñez, D.H. and Lorente-Leyva, L.L. and Blanco-Valencia, X.P.","doi":"10.1007/978-3-030-29859-3_58","bibtex":"@book{\n title = {Urban Pollution Environmental Monitoring System Using IoT Devices and Data Visualization: A Case Study},\n type = {book},\n year = {2019},\n source = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},\n keywords = {Data analysis,Environmental monitoring,Environmental science computing,Intelligent system},\n volume = {11734 LNAI},\n id = {92865dbb-3c6f-3e5e-82f5-8d95e581235b},\n created = {2019-10-12T23:59:00.000Z},\n file_attached = {false},\n profile_id = {f01ceea9-1014-347a-b89d-aa69782ea2ee},\n last_modified = {2021-01-13T15:59:50.611Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {© 2019, Springer Nature Switzerland AG. This work presents a new approach to the Internet of Things (IoT) between sensor nodes and data analysis with visualization platform with the purpose to acquire urban pollution data. The main objective is to determine the degree of contamination in Ibarra city in real time. To do this, for one hand, thirteen IoT devices have been implemented. For another hand, a Prototype Selection and Data Balance algorithms comparison in relation to the classifier k-Nearest Neighbourhood is made. With this, the system has an adequate training set to achieve the highest classification performance. As a final result, the system presents a visualization platform that estimates the pollution condition with more than 90% accuracy.},\n bibtype = {book},\n author = {Rosero-Montalvo, P.D. and López-Batista, V.F. and Peluffo-Ordóñez, D.H. and Lorente-Leyva, L.L. and Blanco-Valencia, X.P.},\n doi = {10.1007/978-3-030-29859-3_58}\n}","author_short":["Rosero-Montalvo, P.","López-Batista, V.","Peluffo-Ordóñez, D.","Lorente-Leyva, L.","Blanco-Valencia, X."],"biburl":"https://bibbase.org/service/mendeley/f01ceea9-1014-347a-b89d-aa69782ea2ee","bibbaseid":"roseromontalvo-lpezbatista-peluffoordez-lorenteleyva-blancovalencia-urbanpollutionenvironmentalmonitoringsystemusingiotdevicesanddatavisualizationacasestudy-2019","role":"author","urls":{},"keyword":["Data analysis","Environmental monitoring","Environmental science computing","Intelligent system"],"metadata":{"authorlinks":{}}},"bibtype":"book","biburl":"https://bibbase.org/service/mendeley/f01ceea9-1014-347a-b89d-aa69782ea2ee","creationDate":"2020-02-26T04:21:14.447Z","downloads":0,"keywords":["data analysis","environmental monitoring","environmental science computing","intelligent system"],"search_terms":["urban","pollution","environmental","monitoring","system","using","iot","devices","data","visualization","case","study","rosero-montalvo","lópez-batista","peluffo-ordóñez","lorente-leyva","blanco-valencia"],"title":"Urban Pollution Environmental Monitoring System Using IoT Devices and Data Visualization: A Case Study","year":2019,"dataSources":["ntXyXv2964fDt3myF","ya2CyA73rpZseyrZ8"]}