340 pages | 128 B/W Illus.
This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data. As the resources are limited, it's the endeavor of the authors to support and bring the information into one resource. The book is divided into 4 sections that covers IoT and technologies, the future of Big Data, algorithms, and case studies showing IoT and Big Data in various fields such as health care, manufacturing and automation.
Section One: IoT and Technologies. 1. History, Present and Future with IoT. 2. Application Scenario and Dependence with IoT. 3. High Level Languages and IoT : Sensors Controls. 4. IoT and Industry Expectations. Section Two: Big data and Future Horizons. 5. Language and Big Data Explosion. 6. Big Data and Future Dimension in IT. 7. Why Big Data, and Its Basic-to Advance Big Data Journey. 8. Hardware and Big Data: The Outcome to Industry. Section Three: Big Data and Algorithm. 9. Algorithm and Infrastructure using IoT. 10. IoT and Big Data: Evolution, Present and Future Dreams. 11. Power House of Infrastructure or Automation. 12. The Perception and Possibilities about IoT. Section Four: Interdisciplinary Tools and Cases of IoT and Big Data. 13. A Collaborative Approach: IoT and Big Data. 14. The Automation: Arduino-Lab View and other Tools. 15. Big Data and Medical Health Care. 16. The Case Study: IoT and the Future.
This book series focuses on special volumes from conferences, workshops, and symposiums, as well as volumes on topics of current interested in all aspects of science, technology, and management. The series will discuss topics such as, mathematics, chemistry, physics, materials science, nanosciences, sustainability science, computational sciences, mechanical engineering, industrial engineering, manufacturing engineering, mechatronics engineering, electrical engineering, systems engineering, biomedical engineering, management sciences, economical science, human resource management, social sciences, engineering education, etc. The books will present principles, models techniques, methodologies, and applications of science, technology and management.