Pervasive Computing: Engineering Smart Systems

✍ Scribed by Natalia Silvis-Cividjian (auth.)

• Publisher: Springer International Publishing
• Year: 2017
• Tongue: English
• Leaves: 221
• Series: Undergraduate Topics in Computer Science
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xviii
Introduction....Pages 1-14
Signals....Pages 15-30
Control Systems....Pages 31-53
Image Processing....Pages 55-73
Sound Processing....Pages 75-91
Classification....Pages 93-128
Systems Engineering....Pages 129-172
Back Matter....Pages 173-210

✦ Subjects

Artificial Intelligence (incl. Robotics);Pattern Recognition;Software Engineering;Models and Principles;Computer Engineering