About this Research Topic
Integrative Engineering for Smart Systems has the potential to revolutionize the way we design and operate complex systems, enabling us to achieve more efficient and sustainable solutions to meet the needs of modern society. By leveraging advances in MEMS, sensors, machine learning, and artificial intelligence, we can create intelligent systems that can learn and adapt to changing conditions, making them more effective and efficient. The integration of thermal engineering and structural design optimization can help to reduce energy consumption and enhance system performance, while civil engineering can provide insights into the design and construction of infrastructure to support these systems. Communication systems and networks are also critical components of smart systems, enabling data to be transmitted and analyzed in real-time, supporting system optimization and enhancing overall efficiency.
The aim of this topic is to develop solutions that integrate the various subsystems and components of complex systems to achieve optimal performance. It involves using advanced technologies such as sensors, actuators, and control systems to enable real-time monitoring, control, and optimization of the system.
It is acceptable to submit an extended version of the paper from the International Conference on Electromechanical, Automotive and Environmental Engineering (ICMAEE 2023).
The topics of interest include but are not limited to:
- Advanced packaging technology
- Intelligent control systems
- Sensor technology
- Wireless communication and network technology
- Heat transfer and convection
- Environmental monitoring and management
- Smart energy management
- Human-computer interaction technology
- Product design and optimization
- Intelligent manufacturing and automation technology
- System modelling and simulation
- Optimization algorithms and strategies
Keywords: thermal engineering, civil engineering, Integrative engineering, System modelling, System simulation, Communication systems, Communication networks
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