Advanced Hybrid Information Processing, 1st ed. 2024 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part IV Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Series, Vol. 550

The 108 full papers presented were selected from 270 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: wireless communication for social information processing, artificial intelligence technology; Mobile education, mobile monitoring, behavior understanding and object tracking; wireless networks for social information processing, image information processing; mobile monitoring, civilian audio and acoustic signal processing.

Intelligent Monitoring Method for Static Comfort of Ejection Seat Based on Human Factors Engineering.- Design of Mobile Education Evaluation System for College Students Based on Digital Badge Technology – Taking Legal Education as an Example.- A Method of Resolving the Conflict of Shared Resources in Online Teaching of Design Professional Artworks Based on Feedback Integration.- Design of Substation Battery Remote Monitoring System Based on LoRa Technology.- Optimization Scheduling Algorithm of Logistics Distribution Vehicles Based on Internet of Vehicles Platform.- Design of Logistics Information Tracking System for Petrochemical Enterprises under the Background of Intelligent Logistics.- Real Time Tracking of The Position of Intelligent Logistics Cold Chain Transportation Vehicles Based on Wireless Sensor Networks.- A Real Time Tracking Method for Intelligent Logistics Delivery Based on Recurrent Neural Network.- A Real Time Tracking Method for Unmanned Traffic Vehicle Paths Based on Electronic Tags.- Error Motion Tracking Method for Athletes Based on Multi Eye Machine Vision.- Research on Real Time Tracking Method of Multiple Moving Objects Based on Machine Vision.- A Method for Identity Feature Recognition in Wireless Visual Sensing Networks Based on Convolutional Neural Networks.- Feature Recognition of Rural Household Domestic Waste Based on ZigBee Wireless Sensor Network.- A Method of Recognizing Specific Movements in Children’s Dance Teaching Video Based on Edge Features.