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Smart Computing with Open Source Platforms

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Beschreibung

Focuses on the concept of open source prototyping and product development and designing sensor networks and covers IoT base applications

This book will serves as a single source of introductory material and reference for programming smart computing and Internet of Things (IoT) devices using Arduino with the use of Python

It covers number of comprehensive DIY experiments through which the reader can design various intelligent systems



Autorentext

Dr. Nilanjan Dey is an Assistant Professor in Department of Information Technology at Techno India College of Technology, Kolkata, India. He was an honorary visiting Scientist at Global Biomedical Technologies Inc., CA, USA and an associated Member of University of Reading, London, UK . He has authored/edited more than 40 books with Elsevier, Wiley, CRC Press and Springer etc., and published more than 300 research articles. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is the Series Co-Editor of Springer tracts in nature-inspired computing, Springer Nature, Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier, Intelligent Signal processing and data analysis, CRC Press. He is an Associated Editor of IEEE Access.

His main research interests include Medical Imaging, machine learning, data mining etc. Recently, he is awarded as one among the top 10 most published and cited academics in the field of Computer Science in India during the period of consideration 2015-17.

Mr. Amartya Mukherjee, M.Tech, is an assistant professor at the Institute of Engineering and Management, Salt Lake, Kolkata, India. He holds a bachelor's degree in computer science and engineering from West Bengal University of Technology and a master's degree in computer science and engineering from the National Institute of Technology, Durgapur, West Bengal, India. His primary research interest is in embedded application development, including mobile ad hoc networking, aerial robotics, and Internet of Things and machine learning. He has written several research articles in the field of wireless networking and embedded systems. His book Embedded systems and robotics with open source tools is one of the bestselling books in the field of embedded application development.



Inhalt

Introduction

Chapter 1: Introduction to Open Source Hardware

    1. Open source Hardware concept
    2. Arduino Ecosystem and types
    3. Feature of Arduino Hardware
    4. Feature of Arduino Software
    5. How to setup
    6. Arduino development community and social coding
    7. Concept covered in this chapter

    Chapter 2: Arduino Hardware

    2.1 System Architecture

    2.2 The Microcontrollers

    2.3 Arduino Interrupts

    2.4 Peripheral Device Interfacing

    2.5 Concept covered in this chapter

    Chapter3: Data types, Operators and Expressions

    3.1 Primitive data types

    3.2 User defined data types

    3.3 Declaration of variable

    3.4 Operators

    3.5 Precedence and Associativity

    3.6 Concept covered in this chapter

    Chapter 4: Functions in Arduino

    4.1 'setup ()' and 'loop ()' functions

    4.2 user defined functions

    4.3 recursive function calls

    4.4 Library

    4.5 Concept covered in this chapter

    Chapter 5: Conditional statements

    5.1 'if-else' conditional statements

    5.2 'switch-case' statement

    5.3 Loops in Arduino

    5.4 while() and do-while()

    5.5 'loop()' in Arduino

    5.6 Concept covered in this chapter

    Chapter 6: Arduino Input Systems

    6.1 'pinMode()' function

    6.2 INPUT and INPUT_PULLUP configuration

    6.3 'digitalRead()' function

    6.4 'analogRead()' function

    6.5 Inputs for Firmata Library

    6.6 Input device interfacing

    6.7 Concept covered in this chapter

    Chapter 7: Arduino Output Systems

    7.1 'digitalWrite()' function

    7.2 'analogWrite()' function

    7.3 An Input Output example

    7.4 Concept Covered in this chapter

    Chapter 8: Arduino with Processing

    8.1 Overview of Processing Language

    8.2 Code Structure

    8.3 Libraries and Functions

    8.4 Visualization of LDR output

    8.5 Interaction with Arduino and Firmata

    8.6 Mouse handling in processing

    8.7 Colors in processing

    8.8 Concept covered in this chapter

    Chapter 9: Real life Code Examples

    9.1 Automated Rail Gate Control

    9.2 Arduino based heart rate monitoring system

    9.3 LPG Leakage Detectors

    9.4 Conclusion

    9.5 Concept covered in this chapter

    Chapter 10: Introduction to Python language

    10.1 Features of Python language

    10.2 Python Versions

        1. Python Installation
        2. Writing some basic programs
        3. Installation using pip

        10.6 Concept covered in this chapter

        Chapter 11: Operators, variable and expressions

        11.1 Operators in Python

        11.1.7 Assignment Operator

        11.2 Clearing the screen of console

        11.3 Concept covered in this chapter

        Chapter 12: Decision and control flow

        12.1 'if' statement

        12.2 'if elif else' ladder=

        12.3 Loops in Python

        12.4 Concept covered in this chapter

        Chapter 13: Functions in Python

        13.1 Standard rule of definition

        13.2 Function invocation

        13.3 Keyword argument concept

        13.4 Lambda function

        13.5 Modules in Python

        13.6 Package in Python

        13.7 reload(), global() and local()

        13.8 Concept covered in this chapter

        Chapter 14: More Examples on Modules and Functions with APIs

        14.1 Accessing .CSV file

        14.2 Parsing JSON data

        14.3 Working with MongoDB

        14.4 MongoDB client Management Tools

        14.5 Concept Covered in this chapter

        Chapter 15: Implementation of Data Structures

        15.1 List in Python

        15.2 Tuples in Python

        15.3 Dictionary structure

        15.4 Sorting of the data structure

        15.5 Date and Time in Python

        15.6 Strings in Python

        15.7 Concept covered in this chapter

        Chapter 16: Object Oriented Programming in Python

        16.1 Classes in Python

        16.2 Constructor

        16.3 Creation of methods in class

        16.4 Polymorphism in Python

        16.5 Inheritance concept

        16.6 Method overriding concept

        16.7 Concept covered in this chapter

        Chapter 17: Input and Output in Python

        17.1 Using input and raw_input function

        17.2 File input output

        17.3 attributes of file objects

        17.4 close() operation

        17.5 Reading and Writing a file

        17.6 the tell() method

        17.7 seek method

        17.8 Command line argument in Python

        17.9 Concept covered in this chapter

        Chapter 18: Exception Handling in Python

        18.1 Syntax error vs exception

        18.2 Handling Exception

        18.3 Concept covered in this chapter

        Chapter19: Graphical User Interface in Python

        19.1 Introduction to TkInter

        19.2 Core component classes

        19.3 Concept covered in this chapter

        Chapter20: Python API for Machine Learning and Arduino

        20.1 Installation of the packages

        20.2 SciPy and NumPy packages

        20.3 Introduction to Matplotlib

        20.4 Overview of SciPy

        20.5 Machine learning tools

        20.6 Arduino API for Python

        20.7 Concept covered in this chapter

        Chapter21: More on Machine Learning API

        21.1 Scikit Learn

        21.2 Deep learning tools

        21.3 Concept covered in this chapter

        Chapter 22: Conclusion

        22.1 Chapters 1 & 2 Illustration

        22.2 Chapter 3, 4 and 5 illustration

        22.3 Chapters 6 to 9

        22.4 Chapters 10 to 21

        22.5 Future scope and enhancement of the book

        Frequently Asked Questions

        References

Produktinformationen

Titel: Smart Computing with Open Source Platforms
Autor:
EAN: 9781351120333
Digitaler Kopierschutz: frei
Format: E-Book (pdf)
Hersteller: Taylor & Francis Ltd.
Genre: Programmiersprachen
Anzahl Seiten: 208
Veröffentlichung: 30.05.2019
Dateigrösse: 8.7 MB