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Intro
Foreword
Organization
The 10th International Conference on Applications and Techniques in Cyber Intelligence (ATCI2022)
ATCI 2022 Keynotes
Contents
Cyber Intelligence for Industrial, IoT, and Smart City
D Modeling and Simulation of Intelligent Building Robot Based on Star Algorithm
1 Introduction
2 Method
2.1 D Star Algorithm
2.2 Intelligent Building Robot
2.3 Vibration Modal Analysis of Suspended High-Altitude Platform
3 Experience
3.1 Object Extraction
3.2 Experimental Analysis
4 Discussion

4.1 Selection of Time Series Prediction Model
4.2 Static Obstacle Avoidance Path Planning
5 Conclusion
References
Industrial Economic Trade Volume Based on Multi-prediction Model Algorithm
1 Introduction
2 Proposed Method
2.1 Linear Prediction Methods
2.2 Combination Prediction Ideas
3 Experiments
3.1 Experimental Content
3.2 Experimental Methods
4 Discussion
4.1 Evolution and Status Quo of Foreign Trade Scale - Take the Yangtze River Economic Belt as an Example
4.2 Application of Each Prediction Method in Prediction of Foreign Trade
5 Conclusions

2 Related Theoretical Overview and Research
2.1 Analysis of the Impact of Insufficient Performance in the Development of Prefabricated Buildings
2.2 Prefabricated Building Performance Testing System
3 Experiment and Research
3.1 Experimental Method
3.2 Experimental Requirements
4 Analysis and Discussion
4.1 System Test Performance Analysis
4.2 Analysis of the Detection Accuracy of Different Building Performance Data
5 Conclusions
References
Risk Detection System of Bridge Construction Based on Fast ICA Algorithm
1 Introduction
2 Method

2.1 Fast ICA Algorithm
2.2 Risk Detection of Bridge Construction
2.3 Risk Measurement
3 Experience
3.1 Object Extraction
3.2 Experimental Analysis
4 Discussion
4.1 There Are High Risks in Bridge Construction
4.2 Comparison and Analysis of Actual Data
5 Conclusion
References
Research on Optimization of Low-Carbon Logistics Distribution Route Based on Genetic Algorithm
1 Introduction
2 Logistics Distribution Routing Problem Description
3 Mathematical Model of Logistics Distribution Vehicle Scheduling Problem
4 Genetic Algorithm Design of the Model

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