Electronics Engineering and Industrial Automation

Scope

This research delineates its scope within the domain of advanced industrial cyber-physical systems, focusing on the conceptualization, integration, and systemic optimization of intelligent, interconnected architectures for autonomous process control. The investigation spans the complete technological stack, encompassing field-level sensor-actuator networks, control-level programmable logic, supervisory-level data acquisition and human-machine interfaces, and their integration with enterprise-level planning systems. Furthermore, it critically engages with the socio-technical dimensions of Industry, examining the broader implications of technological adoption. Contributors are specifically encouraged to submit research addressing:

• Investigating barriers and developing protocols for vendor-agnostic data interoperability, with emphasis on semantic modeling and open communication standards.
• Exploring the deployment of embedded artificial intelligence and lightweight machine learning models for decentralized, real-time process optimization and prognostic health management.
• Examining safety protocols, ethical design principles, and performance metrics for effective human-robot co-working in dynamic industrial environments.
• Proposing novel defensive frameworks and risk mitigation strategies to secure interconnected industrial control systems against sophisticated threats.
• Developing methodologies and metrics for enhancing the energy efficiency, material circularity, and overall environmental sustainability of automated production systems.