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Rough Sets and Rule Induction from Indiscernibility Relations Based on Possible World Semantics in Incomplete Information Systems with Continuous Domains Read chapter Read first chapter

2021 | OriginalPaper | Chapter

IoTIwC: IoT Industrial Wireless Controller

Authors : Tassnim Awad, Walaa Mohamed, Mohammad M. Abdellatif

Published in: Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

Publisher: Springer International Publishing

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Abstract

Industrial controller systems are crucially essential to the cutting edge power systems industries. Industrial controllers link the integrated technologies of a computer, communication devices, and electric devices. The communication systems act as a physical intermediary layer for transferring, controlling, and acquirement of data within the system from distant locations. This chapter discusses the Supervisory Control And Data Acquisition (SCADA) systems and proposes a similar system that is an IoT based industrial wireless controller. The proposed system can control multiple devices through the network without the need to be physically near the devices. Because it uses simple and cheap devices, the system is low cost and easy to install. Additionally, the system is modular because extra microcontrollers can be easily added to the system to control more devices should the need arise.

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previous chapter Assessing the Performance of E-government Services Through Multi-criteria Analysis: The Case of Egypt
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Metadata
Title
IoTIwC: IoT Industrial Wireless Controller
Authors
Tassnim Awad
Walaa Mohamed
Mohammad M. Abdellatif
Copyright Year
2021
Book
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

Print ISBN: 978-3-030-59337-7

Electronic ISBN: 978-3-030-59338-4

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-59338-4_27

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