Author Description

<p>As the number of Internet of Things (IoT) elements grows exponentially, their interactions can generate a massive amount of raw and multi-structured data. The challenge with this data explosion is to transform any raw data into information and knowledge, which can be used by people and systems to make intelligent decisions. <b>Industrial IoT Application Architectures and Use Cases</b> explores how artificial intelligence (AI), data analytics, and IoT technology combine to promote intelligent decision-making and automation in a range of industries. </p><p>With faster, more stable AI algorithms and approaches, knowledge discovery and dissemination from IoT-device data can be simplified and streamlined. An era of powerful cognitive technology is beginning due to cloud-based cognitive systems that are forming the foundation of game-changing intelligent applications. This book presents next-generation use cases of IoT and IoT data analytics for a variety of industrial verticals as given below: </p><ul> <p> </p> <li>An Intelligent IoT framework for smart water management</li> <p> </p> <li>An IoT-enabled smart traffic control system for congestion control and smart traffic management </li> <p> </p> <li>An intelligent airport system for airport management and security surveillance</li> <p> </p> <li>An IoT framework for healthcare to integrate and report patient information </li> <p> </p> <li>Fuzzy scheduling with IoT for tracking and monitoring hotel assets </li> <p> </p> <li>An IoT system for designing drainage systems and monitoring drainage pipes </li> <p> </p> <li>Predictive maintenance of plant equipment to decide the actual mean time to malfunction </li> <p> </p> <li>Integrated neural networks and IoT systems for predictive equipment maintenance </li> <p> </p> <li>IoT integration in blockchain for smart waste management </li> </ul><p>This book also includes a chapter on the IoT paradigm and an overview of uses cases for personal, social, and industrial applications