Pervasive computing : engineering smart systems / Natalia Silvis-Cividjian.
2017
QA76.5915
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Online Access
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Unlimited
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Authorized users
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Can lend chapters, not whole ebooks
Details
Title
Pervasive computing : engineering smart systems / Natalia Silvis-Cividjian.
ISBN
9783319516554 (electronic book)
3319516558 (electronic book)
9783319516547
331951654X
3319516558 (electronic book)
9783319516547
331951654X
Published
Cham, Switzerland : Springer, 2017.
Language
English
Description
1 online resource (xviii, 210 pages) : illustrations.
Item Number
10.1007/978-3-319-51655-4 doi
Call Number
QA76.5915
Dewey Decimal Classification
004
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 MATLABTM, 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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 27, 2017).
Series
Undergraduate topics in computer science.
Available in Other Form
Print version: 9783319516547
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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.
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.