Machine Learning based data analytics for IoT enabled Industry Automation

Authors

  • B. Manikandan  Assistant Professor, Department of Information Technology, Hindusthan Institute of Technology, Coimbatore, India
  • D. Divya Dharshini  Assistant Professor, Department of Information Technology, Hindusthan Institute of Technology, Coimbatore, India
  • V. Ramya  Student, Department of Information Technology, Hindusthan Institute of Technology, Coimbatore, India
  • S. Jayalakshmi  Student, Department of Information Technology, Hindusthan Institute of Technology, Coimbatore, India
  • M. Srimathi  Student, Department of Information Technology, Hindusthan Institute of Technology, Coimbatore, India

DOI:

https://doi.org//10.32628/IJSRSET229240

Keywords:

Internet of Things, Robotics, Virtual Reality, Artificial Intelligence

Abstract

The main aims of this projects to the replacement of old communication that uses wired links with new communication that is wireless communication.The main reason to move to wireless communication is to improve the mobility, reduce the deployment cost, reduce cable damage and to improve the scalability.The current industrial revolution is the 4.0 industrial revolution which combines different technologies such as Internet of Things (IOT), robotics, virtual reality and artificial intelligence. The current industrial revolution is the 4.0 industrial revolution which combines different technologies such as Internet of Things (IOT), robotics, virtual reality and artificial intelligence.The current industrial revolution is the 4.0 industrial revolution which combines different technologies such as Internet of Things (IOT), robotics, virtual reality and artificial intelligence.The second aim of this project is to connect devices to IOT so as to improve theaccessibility of the industry from anywhere in the world. These services are known as Best Effort services.

References

  1. Mahmoud Elsisi , Karar Mahmoud , Matti Lehtonen  and Mohamed M. F. Darwish , Reliable  Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters, MDPI, 2021.
  2. Syed Sultan Mahmood, Pramod Sharma, “Iot Based Industrial Automation using Zigbee Communication Standard”, river publishers’ International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume-9 Issue-4, February 2020.
  3. Machine Learning and Data Analytics for the IoTErwin Adi ·Adnan Anwar ·Zubair Baig ·Sherali Zeadally.
  4. https://www.i-scoop.eu › industry-4-0.
  5. https://www.researchgate.net/publication/341295431_Machine_learning_and_data_analytics_for_the_IoT.

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-04-30

Issue

Volume 9, Issue 2, March-April-2022

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
B. Manikandan, D. Divya Dharshini, V. Ramya, S. Jayalakshmi, M. Srimathi, " Machine Learning based data analytics for IoT enabled Industry Automation, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 2, pp.266-270, March-April-2022. Available at doi : https://doi.org/10.32628/IJSRSET229240