Industrial Internet of Things for Responsible Technology (Responsible Technology and Intelligence)

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Industrial Internet of Things for Responsible Technology (Responsible Technology and Intelligence)

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  • 製本 Hardcover:ハードカバー版/ページ数 218 p.
  • 言語 ENG
  • 商品コード 9781032829401

Full Description

The book explores the intersection between IoT technologies and responsible practices across four vital dimensions. It looks into the latest advancements in IoT, encompassing hardware, software, and cutting-edge communication protocols, while also highlighting trends like edge computing, IoT security, and energy-efficient IoT devices. The next part of the book showcases real-world applications and success stories across diverse sectors such as healthcare, manufacturing, smart cities, and agriculture. The next part addresses the vital role of data analytics and artificial intelligence in harnessing the potential of IoT, covering real-time data analysis, predictive maintenance, and data visualization. The last part focuses on the essential aspect of safeguarding IoT devices and data, exploring authentication, encryption, vulnerability assessment, and the ethical and regulatory considerations surrounding IoT. The book serves as a resource for professionals, researchers, and policymakers, offering valuable insights, best practices, and responsible strategies for leveraging IoT in an increasingly connected and data-driven industrial world while prioritizing ethical, security, and privacy concerns.

Contents

An Introduction to Responsible Technology in Industrial Internet of Things. Foundations of Industrial Internet of Things. Ethical Considerations in IIoT Development. Sustainable Design Principles for IoT Systems. Case Studies: Responsible IIoT Implementations Smart Bin Waste Prediction Using Machine Learning. Regulatory Landscape for Responsible IIoT Practices. Human-Centric Design in IIoT Solutions. Data Governance and Responsible Analytics in IIoT. Resilience and Reliability in Industrial IoT Networks. Collaborative Innovation for Responsible IIoT: Hybrid Approach of Seed Spreading and Weed Plucking for Enhanced Crop Yields using Machine Learning. Social Impact of IIoT: Community and Workforce Considerations. Development and Implementation of State of Charge Algorithm for Battery Management System. Strategies for Overcoming Ethical Challenges in IIoT Adoption. Security and Privacy in Industrial IoT Environments. Conclusion: Shaping a Responsible Technological Future.

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