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Advanced Arduino Techniques in Science - Refine Your Skills and Projects with PCs or Python-Tkinter (Paperback, 1st ed. 2021)
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Advanced Arduino Techniques in Science - Refine Your Skills and Projects with PCs or Python-Tkinter (Paperback, 1st ed. 2021)
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If you're already a comfortable programmer, familiar with your
single board computer and microcontroller, and are ready to refine
your projects, then let's get started! This book covers advanced
methods and techniques for creating, implementing, monitoring and
controlling your experiments and projects with your Raspberry Pi
and Arduino. Projects will use Python and the Tkinter GUI and will
also cover software development for adding real time data display
to the Raspberry Pi. You'll review concepts of frequency occurring
in nature and the techniques used to measure the frequency of
electrically varying signal voltages. You'll also study procedures
for safe design, implementation and operation of experimental
measurement systems operating at high heats and high temperatures.
Throughout the book you'll look at sources and types of errors, and
best practices for minimizing and reducing them. Often times there
are simple environmental issues hindering what would seem to be
simple projects: high temperatures, controlling the power for
elevated temperature with the proportional integral and derivative
(PID) algorithm, and the limitations imposed by eight bit code, the
influence of noise and errors in measured data, and many more.
Advanced Arduino Techniques in Science provides the best tools to
move past those restrictions. What You'll Learn Implement an
experimental control system and graphical data display for the
Raspberry Pi and Arduino Manage experimental control with PID
algorithm implementation, tuning and limitations imposed by eight
bit digital signals Build an analytical front end Examine data
smoothing capability of the Kalman filter Explore available methods
for measuring both high and low frequency values in electronic
signals Who This Book Is For Educators, researchers, students,
makers, citizen scientists, or hobbyists can all extend their
measuring capability or improve upon the quality of their collected
data. The book is directed to those with intermediate skills in
programming and those who are comfortable with Python programming
and Arduino C.
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