Pervasive Computing: Engineering Smart Systems

by Natalia Silvis-Cividjian

Overview

This book provides a concise introduction to Pervasive Computing, otherwise known as Internet of Things (IoT) and Ubiquitous Computing (Ubicomp) which addresses the seamless integration of computing systems within everyday objects. By introducing the core topics and exploring assistive pervasive systems which infer their context through pattern recognition, the author provides readers with a gentle yet robust foundation of knowledge to this growing field of research.

The author explores a range of topics including data acquisition, signal processing, control theory, machine learning and system engineering explaining, with the use of simple mathematical concepts, the core principles underlying pervasive computing systems. Real-life examples are applied throughout, including self-driving cars, automatic insulin pumps, smart homes, and social robotic companions, with each chapter accompanied by a set of exercises for the reader. Practical tutorials are also available to guide enthusiastic readers through the process of building a smart system using cameras, microphones and robotic kits. Due to the power of MATLAB™, this can be achieved with no previous programming or robotics experience.

Although Pervasive Computing is primarily for undergraduate students, the book is accessible to a wider audience of researchers and designers who are interested in exploring pervasive computing further.

Product Details

ISBN-13:	9783319516554
Publisher:	Springer-Verlag New York, LLC
Publication date:	02/15/2017
Series:	Undergraduate Topics in Computer Science
Sold by:	Barnes & Noble
Format:	eBook
File size:	6 MB

About the Author

Natalia Silvis-Cividjian is a lecturer in the department of Computer Science at the Vrije Universiteit in Amsterdam, The Netherlands. She holds a degree in computer engineering and a PhD in applied physics. Her PhD research focused on the spatial resolution limits in nanotechnology.  She has over 20 years’ experience teaching computer science and engineering, including courses on measurement techniques, principles of programming languages, and currently pervasive computing and software testing. 

Table of Contents

Foreword.- Preface.- Introduction.- Signals.- Control Systems.- Image Processing.- Sound Processing.- Classification.- Systems Engineering.- Appendix  A: Getting started with signals using MATLAB.- Appendix  B: Simple traffic-light recognition using MATLAB.