Adaptive Mobile Computing
Advances in Processing Mobile Data Sets

This timely guide explores advancements in producing, processing and securing mobile data sets to help understand human behavior and reduce threats

Mauro Migliardi (Edited by), Alessio Merlo (Edited by), Sherenaz Al-HajBaddar (Edited by)

9780128046036, Elsevier Science

Paperback, published 15 August 2017

262 pages
23.4 x 19 x 1.7 cm, 0.48 kg

Adaptive Mobile Computing: Advances in Processing Mobile Data Sets explores the latest advancements in producing, processing and securing mobile data sets. The book provides the elements needed to deepen understanding of this trend which, over the last decade, has seen exponential growth in the number and capabilities of mobile devices. The pervasiveness, sensing capabilities and computational power of mobile devices have turned them into a fundamental instrument in everyday life for a large part of the human population. This fact makes mobile devices an incredibly rich source of data about the dynamics of human behavior, a pervasive wireless sensors network with substantial computational power and an extremely appealing target for a new generation of threats.

PART I GENERATING MOBILE DATA 1. Cloud Services for Smart City Applications 2. Environment Sensors Measure Processing and Knowledge Extraction From Data: An Approach for Integrating Spreadsheet-Based Offline Analysis and Real-Time Adaptive Data Mashups 3. Fusion of Heterogeneous Mobile Data, Challenges, and Solutions 4. Long-Range Passive Doppler-Only Target Tracking by Single-Hydrophone Underwater Sensors With Mobility

Subject Areas: Materials science [TGM], Mechanical engineering [TGB]