Skip to main content
SpringerLink
Log in
Book cover

Pervasive Computing

Engineering Smart Systems

  • Textbook
  • © 2017

Overview

Authors:
  1. Natalia Silvis-Cividjian

    1. Department of Computer Science, Vrije Universiteit Amsterdam Department of Computer Science, Amsterdam, The Netherlands

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Provides a robust introduction to the main concepts and principles of pervasive computing
  • Filled with many real-life examples of typical modern intelligent systems
  • Offers many exercises to further deepen readers understanding and knowledge
  • Includes practical tutorials to build your own smart systems with little or no previous programming or robotics experience
  • Includes supplementary material: sn.pub/extras

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 49.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (7 chapters)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Introduction

    • Natalia Silvis-Cividjian
    Pages 1-14

  3. Signals

    • Natalia Silvis-Cividjian
    Pages 15-30

  4. Control Systems

    • Natalia Silvis-Cividjian
    Pages 31-53

  5. Image Processing

    • Natalia Silvis-Cividjian
    Pages 55-73

  6. Sound Processing

    • Natalia Silvis-Cividjian
    Pages 75-91

  7. Classification

    • Natalia Silvis-Cividjian
    Pages 93-128

  8. Systems Engineering

    • Natalia Silvis-Cividjian
    Pages 129-172

  9. Back Matter

    Pages 173-210
    Download chapter PDF
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • Department of Computer Science, Vrije Universiteit Amsterdam Department of Computer Science, Amsterdam, The Netherlands

    Natalia Silvis-Cividjian

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. 

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation