| ISBN13: | 9781032666716 |
| ISBN10: | 1032666714 |
| Binding: | Hardback |
| No. of pages: | 288 pages |
| Size: | 234x156 mm |
| Weight: | 689 g |
| Language: | English |
| Illustrations: | 78 Illustrations, black & white; 10 Halftones, black & white; 68 Line drawings, black & white; 9 Tables, black & white |
| 679 |
Privacy, data security
Electrical engineering and telecommunications, precision engineering
Further readings in the field of technology
Engineering in general
Database management softwares
Civil and construction engineering
Environmental sciences
Artificial Intelligence
Product design
Computer programming in general
Energy industry
Safety and health aspects of computing
Internet of Things and Big Data Analytics-Based Manufacturing
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By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, IoT adoption in manufacturing creates huge economic prospects through reshaping industries. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data.
By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, Internet of Things (IoT) adoption in manufacturing creates huge economic prospects through reshaping industries. Modern businesses can more readily implement new data-driven strategies and deal with the pressure of international competition thanks to Industrial IoT. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data.
Internet of Things and Big Data Analytics-Based Manufacturing shows how Industrial Big Data can be produced as a result of IoT usage in manufacturing, considering sensing systems and mobile devices. Different IoT applications that have been developed are demonstrated and it is shown how genuine industrial data can be produced, leading to Industrial Big Data. This book is organized into four sections discussing IoT and technology, the future of Big Data, algorithms, and case studies demonstrating the use of IoT and Big Data in a variety of industries, including automation, industrial manufacturing, and healthcare.
This reference title brings all related technologies into a single source so that researchers, undergraduate and postgraduate students, academicians, and those in the industry can easily understand the topic and further their knowledge.
Section 1: IoT and Technology. 1. IoT-Based Work Monitoring: The Future of Productivity. 2. Harnessing the Power of IoT and Big Data: Advancements and Applications in Smart Environments. 3. Internet of Things Architecture's Importance in Healthcare Management. 4. Blockchain-Enabled Data Security and Integrity in IoT-Big Data Systems for Smart Cities. Section 2: The Future of Big Data. 5. Impact of Big Data & Internet of Things in Manufacturing: Next Level of Revolution. 6. Application of Artificial Intelligence-Based Digital Asset Management in Healthcare Ecosystem. 7. Role of IoT and Big Data in Evolving Smartness in Manufacturing and Lifestyle. 8. Big Data Architecture for IoT. Section 3: Algorithms. 9. Enhanced Cryptography and Communication Scheme Using Dynamic Cipher for IoT. 10. Smart Cities Unveiled: The AI Revolution in Urban Development. 11. A Backstepping Neural Network-Based Manufacture and Leader-Follower Formation Control of Multiple Autonomous Underwater Vehicles. 12. Research Applications in Healthcare with Machine Learning Approaches. Section 4: Case Studies/Uses of IoT and Big Data in Different Domains. 13. Enhancing Security, Privacy, and Predictive Maintenance through IoT and Big Data Integration. 14. Application of Artificial Intelligence in the Diagnosis and Treatment of Cancer: A Comprehensive Review. 15. Internet of Vehicles (IoV): Transforming Transportation through Connectivity, Big Data, and Security. 16. A Secure, Scalable, and Integrated Smart Platform for Teaching and Coding.
