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|a UAMI
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|a Avirup Basu.
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245 |
1 |
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|a Intel Edison Projects.
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|a Birmingham, UNKNOWN :
|b Packt Publishing,
|c 2017.
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300 |
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|a 1 online resource (256)
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|a text
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|a Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: Setting up Intel Edison; Initial hardware setup; Downloading the necessary software packages; Drivers and miscellaneous downloads; Plugging in your device; Flashing your device; Configuring the device; Arduino IDE; Python; Intel XDK for IoT (Node.js); Summary; Chapter 2: Weather Station (IoT); Overview of IoT and its usage; Architecture of a typical IoT project; Sensors; Controllers; Actuators; Cloud or IoT platform; Dashboards and alerts.
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|a Interfacing sensors with Intel EdisonExplanation of the code; Connecting the device and uploading to the cloud (dweet.io); Live use case of an IoT project -- mini weather station; Architecture of the system; Hardware components and detailed circuit diagram; Code for weather station stage 1, acquiring data from all the sensors and displaying it in the console; Open-ended task for the reader; Summary; Chapter 3: Intel Edison and IoT (Home Automation); Controlling devices using the Internet -- concepts; REST services; Instructions or alerts (present on most IoT platforms); Architecture.
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|a MQTT protocol overviewUsing Intel Edison to push data by using the MQTT protocol; Getting data to Edison by using MQTT; Home automation using Intel Edison, MQTT, Android, and WPF; Hardware components and circuit; Final circuit; Android application for controlling Intel Edison using MQTT; Windows Presentation Foundation application for controlling using MQTT; Sample; Open-ended task for the reader; Summary; Chapter 4: Intel Edison and Security System; Speech/voice processing using Edison; Devices required; Speech processing library; Initial configuration; Writing the code.
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|a Let's start with the algorithmDoor lock/unlock based on voice commands; Circuit diagram; Configuring the servo library for Python; Language model; Conclusion of speech processing using the Intel Edison; Image processing using the Intel Edison; Initial configuration; Real-time video display using OpenCV; Face detection theory; Segmentation based on color; Feature-based recognition; Code for face detection; Intel Edison code; Open-ended task for the reader; Summary; Chapter 5: Autonomous Robotics with Intel Edison; Architecture of a typical robotic system; Intel Edison as a controller.
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|a Connecting sensors to the Intel EdisonUltrasonic sensor (HCSR04); Applications of HCSR04; Infrared sensors; Working methodology; Digital and analog outputs for infrared sensors; Calibration of the infrared sensor module; Hardware setup for calibration and sensor reading; Actuators -- DC motors and servos; Motor drivers; L293D; Circuit diagram; Speed control of DC motors; More advanced motor drivers; Line follower robot (patching everything together); Fundamental concepts of a line follower; Robot motion execution; Hardware requirements for line follower robots.
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Programmable controllers.
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650 |
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|a Python.
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650 |
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|a Processing.
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650 |
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|a Automates programmables.
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650 |
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|a Programmable controllers
|2 fast
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|i has work:
|a Intel Edison Projects (Text)
|1 https://id.oclc.org/worldcat/entity/E39PD338w9qTCc7v8f6Vgcjm7d
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|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4868543
|z Texto completo
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938 |
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|a Askews and Holts Library Services
|b ASKH
|n BDZ0034281623
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|a EBL - Ebook Library
|b EBLB
|n EBL4868543
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|a ProQuest MyiLibrary Digital eBook Collection
|b IDEB
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