Mobile SmartLife via Sensing, Localization, and Cloud Ecosystems
1st Edition
Published on 6. December 2017
302 pages
978-1-4987-3236-9 (ISBN)
Description
Indoor location is one of the two most important contexts (time and location), becoming a key entry for mobile Internet. This book envisions potential indoor location applications, overviews the related state of the art technologies, and presents original patented techniques and open source prototype systems. The tutorial and sample code are provided as a good reference and starting point for readers who are interested in the technique detail.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
92 s/w Abbildungen, 35 farbige Abbildungen, 13 s/w Tabellen, 75 s/w Photographien bzw. Rasterbilder, 23 Farbfotos bzw. farbige Rasterbilder, 17 s/w Zeichnungen, 12 farbige Zeichnungen
13 Tables, black and white; 12 Line drawings, color; 17 Line drawings, black and white; 23 Halftones, color; 75 Halftones, black and white; 35 Illustrations, color; 92 Illustrations, black and white
File size
90,71 MB
ISBN-13
978-1-4987-3236-9 (9781498732369)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Kaikai Liu | Xiaolin Li
Mobile SmartLife via Sensing, Localization, and Cloud Ecosystems
Book
06/2020
1st Edition
CRC Press
€59.41
Shipment within 15-20 days
Kaikai Liu | Xiaolin Li
Mobile SmartLife via Sensing, Localization, and Cloud Ecosystems
Book
12/2017
1st Edition
CRC Press
€166.50
Shipment within 15-20 days
Persons
Kaikai Liu is a Ph.D. candidate in Electrical and Computer Engineering at the University of Florida (UF) under the supervision of Dr.Xiaolin Andy Li. , he alsosubmitted 6 papers and 3 patents with strong determination for innovation.
Dr. Xiaolin (Andy) Li is an associate professor and area chair of Computer Engineering Division in Department of Electrical andComputer Engineering at University of Florida.
Dr. Xiaolin (Andy) Li is an associate professor and area chair of Computer Engineering Division in Department of Electrical andComputer Engineering at University of Florida.
Content
1. Introduction. 2. Overview of Mobile Systems. 3. Acoustic Ranging and Communication. 4. Localization Algorithms. 5. Guoguo: Enabling Fine-Grained Smartphone Localization. 6. Enhancing Location Accuracy and Robustness via Opportunistic Sensing. 7. Pushing Location Awareness to Context-Aware Augmented Reality. 8. Towards Location-Aware Mobile Social Networks with Missions. 9. Wearable Localization via Mobile Crowd Sensing. 10. Improving Location Services via Social Collaboration. 11. Hiding Media Data via Shaders: Enabling Private Sharing in the Clouds. 12. Conclusion and Future Directions.
