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Hone your understanding of science and engineering concepts with the versatile Arduino microcontroller and powerful Raspberry Pi mini-computer. The simple, straightforward, fun projects in this book use the Arduino and Raspberry Pi to build systems that explore key scientific concepts and develop engineering skills. Areas explored include force/acceleration, heat transfer, light, and astronomy. You'll work with advanced tools, such as data logging, advanced design, manufacturing, and assembly techniques that will take you beyond practical application of the projects you'll be creating. Technology is ever evolving and changing. This book goes beyond simple how-tos to teach you the concepts behind these projects and sciences. You'll gain the skills to observe and adapt to changes in technology as you work through fun and easy projects that explore fundamental concepts of engineering and science. You will: Measure the acceleration of a car you're riding in Simulate zero gravity Calculate the heat transfer in and out of your house Photography the moon and planets.

Arduino (Programmable controller) --- Raspberry Pi (Computer) --- Microcomputers --- Programming. --- Arduino (Microcontroller) --- Programmable controllers --- Computer input-output equipment. --- Hardware and Maker. --- Computer hardware --- Computer I/O equipment --- Computers --- Electronic analog computers --- Electronic digital computers --- Hardware, Computer --- I/O equipment (Computers) --- Input equipment (Computers) --- Input-output equipment (Computers) --- Output equipment (Computers) --- Computer systems --- Input-output equipment

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We are immersed in the so-called digital energy network, continuously introducing new technological advances for a better way of life. Numerous emerging words are in the spotlight, namely: Internet of Things (IoT), Big Data, Smart Cities, Smart Grid, Industry 4.0, etc. To achieve this formidable goal, systems should work more efficiently, and this fact inevitably leads to power quality (PQ) assurance. Apart from its economic losses, a bad PQ implies serious risks for machines, and consequently for people. Many researchers are endeavoring to develop new analysis techniques, instruments, measurement methods, and new indices and norms that match and fulfil the requirements regarding the current operation of the electrical network. This book offers a compilation of the some recent advances in this field. The chapters range from computing issues to technological implementations, going through event detection strategies and new indices and measurement methods that contribute significantly to the advancement of PQ analysis. Experiments have been developed within the frames of research units and projects, and deal with real data from industry and public buildings. Human beings have an unavoidable commitment with sustainability, which implies adapting PQ monitoring techniques to our dynamic world, defining a digital and smart concept of quality for electricity.

modulation --- FPGA --- flicker --- DC power quality indices --- limited resources hardware --- low cost monitor --- dynamic phasor estimation --- harmonics --- RMS voltage estimation --- islanding operation --- embedded system --- signal waveform compression --- big data --- digital signal processing --- data scalability --- data compression --- wind-grid distribution --- voltage fluctuations --- smart grid (SG) applications --- power event detection --- modelling --- voltage ripple --- power quality monitoring --- higher-order statistics (HOS) --- power distribution systems --- power quality disturbances --- reconfigurable computing --- operation analysis --- sensor node --- power quality (PQ) --- distribution networks --- wireless sensor network --- reliability --- power system measurements --- embedded microcontroller --- phasor measurement units --- IoT --- soft computing --- smart grids --- power quality monitor --- induction machines --- sensors and instruments for PQ --- Kalman filters --- low-voltage DC networks --- convolution neural network --- spectral kurtosis --- municipal distribution network --- statistical signal processing --- detection --- power quality disturbance --- smart grid --- energizing warning --- dense-mesh topology --- low computational cost --- fourth-order statistics --- PQ indices and thresholds --- machine learning --- voltage sags --- power quality --- computational solutions for advanced metering infrastructure (AMI) --- constant amplitude trend --- phasor measurement --- improved principal component analysis --- long-term