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Advanced Hybrid Information Processing: 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I 1st ed. 2023 [Pehme köide]

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This two-volume set constitutes the post-conference proceedings of the 6th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2022, held in Changsha, China, in September 29-30, 2022.
The 109 full  papers presented were selected from 276 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: Information Extracting and Processing in Digital World; Education Based methods in Learning and Teaching; Various Systems for Digital World.
Practical Model of College Students Innovation and Entrepreneurship
Education Based on Social Cognitive Career Theory.- 3D Visualization Method
of Folk Museum Collection Information Based on Virtual Reality.- Design of
Pond Water Quality Monitoring System Based on Mobile UAV Technology.- Passive
Positioning Method of Marine Mobile Buoy Based on Vibration Signal
Extraction.- Optimization of Data Query Method Based on Fuzzy Theory.- Study
Demand Mining Method of College StudentsPhysical Health Preservation Based
on Cognitive Model.- High Precision Extraction of UAV Tracking
Image Information Based on Big Data Technology.- Monitoring Method of
Ideological and Political Class Learning Status Based on Mobile Learning
Behavior Data.- Real Time Monitoring Method of Exercise Load in
Dance Training Course Based on Intelligent Device.- An Efficient Compression
Coding Method for Multimedia Video Data Based on CNN.- Intelligent Push
Method of News and Information for Network Users Based on Big Data.- Sports
Simulation Training System Based on Virtual Reality Technology.- A Design
Scheme of Data Security for Unmanned Aerial Vehicles.- Distance Teaching
Method of Welding Process Course for Mobile Learning Platform.- Automatic
Recognition Method of Table Tennis Motion Trajectory Based on Deep Learning
in Table Tennis Training.- Construction of Social Network Big Data Storage
Model Under Cloud Computing.- Anomaly Monitoring System of Enterprise
Financial and Economic Information Based on Entropy
Clustering.- Classification and Retrieval Method of Library Book Information
Based on Data Mining.- Construction of Cognitive Model of Traditional
Sports Health Preservation from The Perspective of
Body-Medicine Integration.- Design of Remote Video Surveillance System Based
on Cloud Computing.- Physical Movement Monitoring Method of College Physical
Education Students Based on Genetic Algorithm.- Research on Large Data Mining
for Online Education of Mobile Terminal Based on Block Chain
Technology.- Separation Algorithm of Fixed Wing UAV Positioning Signal Based
on AI.- Research on Hybrid Maintenance Cost Prediction of Smart Grid Based on
Multi-Dimensional Information.- Infrared Image Face Recognition Method Based
on Signal Interference Technology.- Remote Tutoring System of Ideological and
Political Course Based on Mobile Client.- Operational Risk Prevention and
Control Monitoring of Smart Financial System Based on Deep Learning.- Remote
Monitoring Method of Athlete Training Intensity Based on Mobile Internet of
Things.- Research on Equipment Management System of Smart Hospital Based on
Data Visualization.- Design of Information Consultation System for The Whole
Process of Construction Engineering Based on BIM Technology.- The Mobile
Teaching Method of Law Course Based on Wireless Communication
Technology.- Design of Financial and Economic Monitoring System Based on Big
Data Clustering.- Recommendation Method of College English Online Mobile
Teaching Resources Based on Big Data Mining Algorithm.- Design of Electronic
Communication Power Monitoring System Based on GPRS Technology.- Online
Interactive Platform for College English Intensive Reading Teaching Based on
Cloud Service.-Intelligent Platform for College English Blended
Teaching Based on Mobile Learning.- Cloud Service-Based Online Self-Learning
Platform for College English Multimedia Courses.- Research on Export Trade
Information Sharing Method Based on Social Network Data.- Intelligent
Evaluation Algorithm of Undergraduate College English Mobile Learning
Efficiency Based on Big Data.- Design of Online Learning Efficiency
Evaluation Algorithm for College English Based on Data Mining.- Design of
Network Traffic Anomaly Monitoring System Based on Data Mining.- Research on
Operational Risk Monitoring Method of Intelligent Financial System Based on
Deep Learning and Improved RPA.- Mobile Terminal-Oriented Real-Time
Monitoring Method for Athletes Special Training Load.- Design of Energy
Consumption Monitoring System for Group Building Construction Based on Mobile
Node.- Construction of Mobile Education Platform for Entrepreneurial Courses
of Economic Management Specialty Based on Cloud Computing.-  Social Network
Real Estate Advertisement Push Method Based on Big Data Analysis.- Prediction
Method of Crack Depth of Concrete Building Components Based on Ultrasonic
Signal.- Virtual Reconstruction of Museum Spatial Information Based on
Unity3D.- Research on Encrypted Transmission Method of Survey Data of
Offshore Engineering Buoy.- Tracking Method of Ocean Drifting Buoy Based
on Spectrum Analysis.- Compensation Method of Infrared Body
Temperature Measurement Accuracy Under Mobile Monitoring Technology.- Risk
Identification Model of Enterprise Strategic Financing Based on Online
Learning.- Research on Autonomous Learning Management Software Based on
Mobile Terminal.- Research on Online Monitoring of Power Supply Reliability
of Distribution Network Based on Mobile Communication Technology.- Multi Node
Water Quality Monitoring System of Fish Pond Based on Unmanned Ship
Technology.- Evaluation Model of Teaching Quality of College
English Integrated Into Ideological and Political Course Under
Social Network.- Application of Cloud Security Terminal in
Information Management of Power Industry.- Composite Fault Signal Detection
Method of Electromechanical Equipment Based on Empirical Mode Decomposition.