The Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance 1st Edition – Ebook Instant Download/Delivery ISBN(s): 9781119768777,9781119769019,9781119769002,1119768772,1119769019,1119769000
Product details:
- ISBN 10: 1119769000
- ISBN 13: 9781119769002
- Author: R. Anandan, Suseendran Gopalakrishnan, Souvik Pal, Noor Zaman, R. Anandan, Suseendran Gopalakrishnan, Souvik Pal, Noor Zaman
This book discusses how the industrial internet will be augmented through increased network agility, integrated artificial intelligence (AI) and the capacity to deploy, automate, orchestrate, and secure diverse user cases at hyperscale.
Since the internet of things (IoT) dominates all sectors of technology, from home to industry, automation through IoT devices is changing the processes of our daily lives. For example, more and more businesses are adopting and accepting industrial automation on a large scale, with the market for industrial robots expected to reach $73.5 billion in 2023. The primary reason for adopting IoT industrial automation in businesses is the benefits it provides, including enhanced efficiency, high accuracy, cost-effectiveness, quick process completion, low power consumption, fewer errors, and ease of control.
The 15 chapters in the book showcase industrial automation through the IoT by including case studies in the areas of the IIoT, robotic and intelligent systems, and web-based applications which will be of interest to working professionals and those in education and research involved in a broad cross-section of technical disciplines.
Table contents:
1 A Look at IIoT: The Perspective of IoT Technology Applied in the Industrial Field
2 Analysis on Security in IoT Devices—An Overview
3 Smart Automation, Smart Energy, and Grid Management Challenges
4 Industrial Automation (IIoT) 4.0: An Insight Into Safety Management
5 An Industrial Perspective on Restructured Power Systems Using Soft Computing Techniques
6 Recent Advances in Wearable Antennas: A Survey
7 An Overview of IoT and Its Application With Machine Learning in Data Center
8 Impact of IoT to Meet Challenges in Drone Delivery System
9 IoT-Based Water Management System for a Healthy Life
10 Fuel Cost Optimization Using IoT in Air Travel
11 Object Detection in IoT-Based Smart Refrigerators Using CNN
12 Effective Methodologies in Pharmacovigilance for Identifying Adverse Drug Reactions Using IoT
13 Impact of COVID-19 on IIoT
14 A Comprehensive Composite of Smart Ambulance Booking and Tracking Systems Using IoT for Digital Services
15 An Efficient Elderly Disease Prediction and Privacy Preservation Using Internet of Things
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