Smart Computing with Open Source Platforms

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

Introduction Chapter 1: Introduction to Open Source Hardware Open source Hardware concept Arduino Ecosystem and types Feature of Arduino Hardware Feature of Arduino Software How to setup Arduino development community and social coding 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 Python Installation Writing some basic programs 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

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.