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Develop an Optical Sensor to Detect Pollution Incidents in Sewerage

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Develop an Optical Sensor to Detect Pollution Incidents in Sewerage

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Rocher, J.; Aldegheishem, A.; Alrajeh, N.; Lloret, J. (2022). Develop an Optical Sensor to Detect Pollution Incidents in Sewerage. IEEE Sensors Journal. 22(24):24449-24457. https://doi.org/10.1109/JSEN.2022.3219931

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/197251

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Title: Develop an Optical Sensor to Detect Pollution Incidents in Sewerage
Author: Rocher, Javier Aldegheishem, Abdulaziz Alrajeh, Nabil Lloret, Jaime
UPV Unit: Universitat Politècnica de València. Departamento de Tecnología de Alimentos - Departament de Tecnologia d'Aliments
Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia
Issued date:
Abstract:
[EN] Cities are big consumers of energy and big producers of pollution. In the past years, the concept of smart cities has been applied to reduce the release of pollutants and to reduce energy consumption. In this article, ...[+]
Subjects: Arduino , Healthy living in smart cities , LED , LoRaWAN , Smart cities , Solid sensor , Turbidity , Wireless sensor network (WSN)
Copyrigths: Cerrado
Source:
IEEE Sensors Journal. (issn: 1530-437X )
DOI: 10.1109/JSEN.2022.3219931
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/JSEN.2022.3219931
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114467RR-C33/ES/RED HETEROGENEA INTELIGENTE DE SENSORES INALAMBRICOS PARA MONITORIZAR Y ESTIMAR EL CONTENIDO DE RESINA DE CISTUS LADANIFER/
info:eu-repo/grantAgreement/GV INNOV.UNI.CIENCIA//THINKINAZUL%2F2021%2F002//Red de Sensores y big data para la observacion del entorno marino (SALVADOR)/
info:eu-repo/grantAgreement/MECD//FPU16%2F05540/ES/FPU16%2F05540/
info:eu-repo/grantAgreement/KSU//RSP-2021%2F295//Researchers Supporting Project/
info:eu-repo/grantAgreement/MICINN//PRTR-C17.I1/
Thanks:
This work was supported in part by the Researchers Supporting Project, King Saud University, Riyadh, Saudi Arabia, under Grant RSP-2021/295; in part by the Ministerio de Educacion, Cultura y Deporte through the "Ayudas ...[+]
Type: Artículo

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