Pervasive Computing : Engineering Smart Systems / by Natalia Silvis-Cividjian.

Format:

Book

Author/Creator:

Cividjian, Natalia, 1967- author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Undergraduate topics in computer science 1863-7310

Undergraduate Topics in Computer Science, 1863-7310

Language:

English

Subjects (All):

Artificial intelligence.

Pattern perception.

Software engineering.

Computers.

Computer engineering.

Artificial Intelligence.

Pattern Recognition.

Software Engineering.

Models and Principles.

Computer Engineering.

Local Subjects:

Artificial Intelligence.

Pattern Recognition.

Software Engineering.

Models and Principles.

Computer Engineering.

Physical Description:

1 online resource (XVIII, 210 pages) : 183 illustrations, 99 illustrations in color.

Edition:

First edition 2017.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2017.

System Details:

text file PDF

Summary:

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.

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.

Other Format:

Printed edition:

ISBN:

978-3-319-51655-4

9783319516554

Access Restriction:

Restricted for use by site license.