Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Innovative Methodology for Detecting of Possible Harmful Compounds for Wastewater Treatment the MAUI Project

Academic Article
Publication Date:
2018
abstract:
In this paper, the preliminary results of the research project 'Monitoraggio continuo per le Acque refiue Urbane ed Industriali per l'ecoindustria' (MAUI) are depicted. Specifically, innovative methods for real-Time monitoring of urban and industrial wastewater, along with new data management techniques, have been employed to manage the data acquired by a vapor phase e-nose, namely VPeN, based on a semiconductor sensor array, which was used to get real-Time monitoring data.
Iris type:
01.01 Articolo in rivista
Keywords:
wastewater; e-nose sensor; monitoring; middleware
List of contributors:
Casale, Barbara; Uricchio, VITO FELICE; Calabrese, Angelantonio; Blonda, Massimo
Authors of the University:
CALABRESE ANGELANTONIO
URICCHIO VITO FELICE
Handle:
https://iris.cnr.it/handle/20.500.14243/411089
  • Overview

Overview

URL

http://www.scopus.com/record/display.url?eid=2-s2.0-85049959078&origin=inward
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)