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© 2017

Pervasive Computing

Engineering Smart Systems

Textbook

Part of the Undergraduate Topics in Computer Science book series (UTICS)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Natalia Silvis-Cividjian
    Pages 1-14
  3. Natalia Silvis-Cividjian
    Pages 15-30
  4. Natalia Silvis-Cividjian
    Pages 31-53
  5. Natalia Silvis-Cividjian
    Pages 55-73
  6. Natalia Silvis-Cividjian
    Pages 75-91
  7. Natalia Silvis-Cividjian
    Pages 93-128
  8. Natalia Silvis-Cividjian
    Pages 129-172
  9. Back Matter
    Pages 173-210

About this book

Introduction

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.

Keywords

pervasive computing systems systems engineering pattern recognition Matlab Lego Mindstorms NXT

Authors and affiliations

  1. 1.Department of Computer ScienceVrije Universiteit Amsterdam Department of Computer ScienceAmsterdamThe Netherlands

About the authors

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. 

Bibliographic information

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