Call for Papers on Digital Twin Empowered Internet of Intelligent Things for Engineering Cyber-Physical Human Systems
Future engineering systems will rely heavily on Cyber-Physical Human Systems (CPHSs) to design and build new capabilities that exceed today's levels of autonomy, flexibility, affordability, durability, and cyber security. A digital twin is a digitized representation of a physical object or action connected to the Internet of Things (IoT) in real-time. It can be used for multiple things such as monitoring, diagnosing, optimizing, and controlling asset performance and utilization. Recent breakthroughs in healthcare are increasingly reliant on medical devices and systems networked via the Internet of Intelligent Things (IoIT ) and must address the needs of patients in unusual circumstances.
As a result, dynamically reconfigured intelligent patient interaction complex IoIT will be required. There are numerous challenges in cyber-physical human systems when integrated with IoT. Appropriate digital twin configuration through advanced multi-sensors can be used to overcome the limitations in the CPHSs. Similarly, the design and management of smart renewable energy systems and power distribution using smart grids can be optimized using IoIT. To produce high-performance, dependable, and low-cost CPHSs that serve humanity, several key problems must be answered.
