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Water in the Cloud: Remote Understanding of Water Chemistry: Poster Abstract

Published: 18 April 2017 Publication History

Abstract

Water treatment is one of those essential elements of modern life that is taken for granted by the general population. In this poster, we describe the ability to remotely understand and improve water chemistry using controllers attached to the cloud.

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Andrei Costin, Jonas Zaddach, Aurélien Francillon, and Davide Balzarotti. 2014. A Large-Scale Analysis of the Security of Embedded Firmwares. In Proceedings of 23rd USENIX Security Symposium. USENIX Association, Berkeley, CA, USA, 95--110.
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Cited By

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  • (2022)A Sensors-Based River Water Quality Assessment System Using Deep Neural NetworkIEEE Internet of Things Journal10.1109/JIOT.2021.30788929:16(14375-14384)Online publication date: 15-Aug-2022
  • (2018)An IoT based monitoring and controlling system for water chlorination treatmentProceedings of the 2nd International Conference on Future Networks and Distributed Systems10.1145/3231053.3231084(1-6)Online publication date: 26-Jun-2018

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cover image ACM Conferences
IoTDI '17: Proceedings of the Second International Conference on Internet-of-Things Design and Implementation
April 2017
353 pages
ISBN:9781450349666
DOI:10.1145/3054977
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2017

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Author Tags

  1. IoT
  2. water chemistry

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Cited By

View all
  • (2022)A Sensors-Based River Water Quality Assessment System Using Deep Neural NetworkIEEE Internet of Things Journal10.1109/JIOT.2021.30788929:16(14375-14384)Online publication date: 15-Aug-2022
  • (2018)An IoT based monitoring and controlling system for water chlorination treatmentProceedings of the 2nd International Conference on Future Networks and Distributed Systems10.1145/3231053.3231084(1-6)Online publication date: 26-Jun-2018

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