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Hands-On Edge Analytics with Azure IoT

You're reading from   Hands-On Edge Analytics with Azure IoT Design and develop IoT applications with edge analytical solutions including Azure IoT Edge

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781838829902
Length 262 pages
Edition 1st Edition
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Author (1):
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Colin Dow Colin Dow
Author Profile Icon Colin Dow
Colin Dow
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: Getting Started with Edge Analytics
2. Introduction to Edge Analytics FREE CHAPTER 3. How Does IoT Edge Analytics Work? 4. Communications Protocols Used in Edge Analytics 5. Section 2: Understanding Edge Analytics Technologies
6. Working with Microsoft Azure IoT Hub 7. Using the Raspberry Pi with Azure IoT Edge 8. Using MicroPython for Edge Analytics 9. Machine Learning and Edge Analytics 10. Designing a Smart Doorbell with Visual Recognition 11. Section 3: The Road Ahead
12. Security and Privacy in an Edge Analytics World 13. What Next? 14. Other Books You May Enjoy

Questions

Having learned the lessons in this chapter, try answering the following questions on your own:

  1. True/False. Wi-Fi is the most common communications technology used for edge analytics applications.
  2. True/False. VLF and LF frequency bands are used for marine communications applications.
  3. What is the frequency used for CB channel 19 in Canada and the United States?
  4. What is meant by bandwidth in the analog world of communications?
  5. True/False. Wavelength decreases as frequency increases.
  6. What is the range of Bluetooth class 1?
  7. True/False. Basic text and email was possible with 2G cellular technologies.
  8. What does LPWAN stand for?
  9. True/False. Received power increases exponentially when wavelength increases.
  10. True/False. It is possible to get a 10 km range using LoRa technology.
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