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E-raamat: Future Industrial Internet: Second Future Industrial Internet Symposium, FII 2024, Shenzhen, China, August 23, 2024, Proceedings

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This book constitutes the proceedings of the Second Future Industrial Internet Symposium, FII 2024, held in Shenzhen, China, on August 23, 2024.

The 12 full papers and 4 short papers presented in this book were carefully reviewed and selected from 75 submissions.They focus on verious aspects of the latest research, applications and development trends related to the industrial internet and associated fields.

.-  A High-Performance Data Collaborative Analysis Chain with Privacy
Protection.


.- A Review of Steelmaking and Continuous Casting Scheduling Based on
Intelligent Optimization Methods.


.- An Empirical Analysis of RIS Phase Quantization Effect in an IIoT
Scenario.


.- Application of Embedded Soft-PLC in Residential Photovoltaic System.


.- Data/Model Jointly Driven Routing and Resource Allocation Algorithms for
Large-scale Self-organizing Networks for New Power Systems.


.- Image semantic transmission method for downstream tasks of industrial


Internet.


.- Improvement of Visual Sensing System via Dual Attention YOLOv5 in Calcium
Carbide Factory.


.- Industrial process monitoring based on multi-block graph convolutional
network.


.- Modeling and Collaborative Control for Networked Heterogeneous Re-Entrant
Manufacturing Systems.


.- Recursive Residual Convolutional Neural Network with Attention Mechanism
Based on U-Net (Attention R2U-Net) for Surface Minor Defect Detection.


.- Relay Selection for Multi-Source Cooperation in Wireless Powered
Industrial Sensor Networks.


.- Resource-Efficient Consensus for Large-Scale Industrial Multi-Agent
Systems: An Event-Triggered Approach.


.- Rolling Bearings Intelligent Fault Diagnosis Method Based on TTS-GAN Model
Transfer Learning.


.- SKAS: Symmetric-key AKA Scheme for Industrial Internet Cloud Applications
in Untrusted Edge Environments Based on ECDH.


.- TD3-based Stochastic Workload Offloading for 5G-based Cloud Control
System.


.- YOLO_LSK: A Sintered Surface Defect Detection Model Based on Large
Selective Kernel Network.
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