Artificial Intelligence in China

Name: Artificial Intelligence in China | Proceedings of the 5th International Conference on Artificial Intelligence in China
Brand: Springer
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Proceedings of the 5th International Conference on Artificial Intelligence in China

Wei Wang Jiasong Mu Xin Liu Zhenyu Na Na(Editor)

Springer (Publisher)

1st Edition

Published on 22. March 2024

X, 635 pages

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978-981-99-7545-7 (ISBN)

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Content

Intro
Contents
Research on Deep Learning Operator Testing of Intelligent Software Based on Fuzz Testing Technology
1 Overview
2 Deep Learning Framework and Operator Library
3 Deep Learning Operator Testing
3.1 Problems and Cause Analysis of the Accuracy of Deep Learning Operators
3.2 Differential Testing
3.3 Guided Fuzz Testing
4 Testing Design of Deep Learning Operator Based on Differential Fuzz Testing
5 Summary and Outlook
References
Computer Aided System Design for Handwriting Identification Based on Imaging
1 Introduction
2 Dataset Establishment and System Design
2.1 Dataset
2.2 Model
3 Experiment and Result Analysis
4 Conclusion
References
Dynamic Optimization Deployment of Wireless Sensor Networks Based on TPWRLS Graph Construction and VFA
1 Introduction
2 Mobile Node Selection Based on TPWRLS Graph Construction
2.1 TPWRLS Graph Construction
2.2 Mobile Node Selection
3 Node Movement Based on VFA
3.1 VFA
3.2 Standard for Evaluation
4 Experiment and Analysis
4.1 Experiment on Selecting the Number of Mobile Nodes
4.2 Iterative Experiment of VFA
5 Conclusion
References
Research Review on Application of Genetic Algorithms for Multi-Objective Optimal Management of Building Construction
1 Introduction
2 Emergence and Application of Genetic Algorithms
2.1 Emergence of Genetic Algorithms
2.2 Research Timeline
2.3 Multi-Objective Optimal Management
2.4 Parameter Coding Methods
3 Summary
References
AgsNet: An Attention-Guided Lightweight Segmentation Network
1 Introduction
2 Materials and Method
2.1 Research Subjects
2.2 Proposed Model
2.3 Bayesian Classifier
2.4 Attention Mechanism
3 Experiment
3.1 Data Preprocessing and Augmentation
3.2 Implementation Details
3.3 Results
3.4 Conclusion
References
A TDOA-Based Optimization Method for Staircase Area Positioning
1 Introduction
2 Base Station Deployment in the Staircase Area
3 The Method of Stair Area Localization Based on TDOA Algorithm
4 Conclusion
References
Design and Implementation of Intelligent Classified Garbage Bin
1 Introduction
2 Garbage Classification Recognition
2.1 Introduction to GhostNet
2.2 Transfer Learning for Recognition Model Training
2.3 Preparation of Datasets
2.4 Training and Result Analysis
3 Hardware Connection and Implementation
3.1 System Design Goals
4 GUI Design
4.1 Boot Interface
4.2 Main Interface
4.3 Detection Interface
5 Summary
References
Knowledge-Enhanced Recommendation System Design for Mechatronics IoT Cloud Platform
1 Introduction
2 Related Work
2.1 Internet of Things
2.2 Cloud Technology
2.3 Knowledge Graph
3 Mechatronics Internet of Things Cloud Service System Design
3.1 Mechatronics Internet of Things Cloud Service Platform Architecture
3.2 Knowledge-Enhanced Platform Recommendation Algorithm Service
4 Key Technologies
4.1 Platform Service Mode Based on Cloud Technology
4.2 Scene Analysis and Object Relationship Prediction
4.3 Multi-hop Cross-Modal Attention Layer
4.4 Experimental Result
5 Conclusion
References
Aspect-Level Sentiment Analysis by Fusing Local Information with Graph Attention Networks
1 Introduction
2 LSI-RGAT Network Model Construction
2.1 Word Embedding Layer
2.2 Syntax-Aware Layer
3 Experiment
3.1 Data Set and Experimental Setup
3.2 Analysis of Experimental Results
4 Conclusion
References
Image Segmentation Algorithm Based on Improved U-Net for Mineral Froth Flotation Process
1 Introduction
2 Proposed Method
2.1 Attention Module
2.2 ASPP Head
3 Experiments and Analysis
3.1 Datasets and Experiment Setup Details
3.2 Evaluation Criteria
3.3 Comparison with SOTA Works
4 Conclusion
References
Automatic Summarization Research for Long Texts Targeting Think Tanks
1 Introduction
2 Literature Review
2.1 Extractive Summarization
2.2 Abstractive Summarization
3 Dataset
4 Method
4.1 Candidate Sentence Extraction Module
4.2 Pre-trained Generation Module
4.3 Beam Search Module
4.4 AELoss
5 Experiments and Analysis of Results
5.1 Experimental Design
5.2 Comparative Experiment
5.3 Analysis of Experimental Results
6 Conclusion
References
Research on Semantic Segmentation Algorithm for Autonomous Driving Based on Improved DeepLabv3+
1 Introduction
2 RS-DeepLab Model
2.1 Model Network Structure
2.2 Backbone Network
2.3 ARMS Architecture
2.4 FFMS Architecture
3 Experiment and Analysis
3.1 Experimental Configuration
3.2 Evaluation Metrics
3.3 Model Segmentation Results
3.4 Model Improvement Experiment
4 Conclusion
References
Joint Security Protection and Transmission Delay Scheduling Scheme of Voice Switching Network
1 Introduction
2 System Model
2.1 Encryption
2.2 System Architecture
2.3 Constraints
2.4 Delay Formulation
3 Mechanism Model
3.1 Encryption
3.2 Adjust HTS Flows Sampling Period
3.3 AVB Flows Planning
4 Simulations and Results
4.1 Experimental Data
4.2 Analysis
5 Conclusion
References
Subway Tunnel Segment Disease Detection System Based on Machine Vision Technology
1 Introduction
2 Overall Design
3 Hardware System Design
3.1 Line Scan Integrated Camera Device
3.2 Image Acquisition Card
3.3 Industrial Computer
4 Software System Design
5 Experimental Results
6 Conclusions
References
Device-Free Cross-Environment Human Action Recognition Using Wi-Fi Signals
1 Introduction
2 Methodology
2.1 Overview
2.2 Data Preprocessing
2.3 Action Recognition
3 IMPLEMENTATION and EVALUATION
3.1 Experimental Setup
3.2 Evaluation
4 Conclusion
References
The Performance Analysis of Double Intelligent Reflecting Surface-Assisted Cognitive Radio Network
1 Introduction
2 System Model and Problem Formulation
2.1 System Model
2.2 Problem Formulation
3 Proposed Solution to (P1)
3.1 Optimizing Transmit Beamforming
3.2 Optimizing the Reflection Coefficients
4 Summary of the AO Algorithm
5 Simulation Results
5.1 Simulation Scenario
5.2 Performance Evaluation
6 Conclusion
References
A Novel Point Cloud Completion Method Based on Height Map and Dual-Mask Images
1 Introduction
2 An Image Inpainting Method for Point Cloud Height Map Based on Dual-Mask Images
2.1 Acquisition of Point Cloud Height Map
2.2 Spatial Distribution Characteristics of Hollow Pixels
2.3 Dual-Mask Hole Filling Method for Pixel Completion
3 Experiment
4 Summary
References
Deep Learning for Skin Lesion Segmentation: A Review and Outlook
1 Introduction
1.1 Contribution of Current Work
2 Deep Learning Methods
2.1 Deep Neural Network Segmentation Architectures
2.2 Techniques for Skin Lesion Segmentation
3 Discussion and Outlook
3.1 Main Challenges
3.2 Trends in the Segmentation Methods
4 Conclusion
References
Research on Revenue Prediction of Automobile Manufacturing Enterprises
1 Introduction
2 Methodology
3 Experiment and Analysis
3.1 Industry Sales Prediction Based on RF and SARIMA
3.2 Enterprises Revenue Prediction Based on CNN
3.3 Benchmark Model-Based on Random Forest
4 Conclusion and Future Works
References
Coal Mine Risk Classification Prediction Model Based on BERT
1 Introduction
2 System Model
2.1 Network Architectures
2.2 Design of the Loss Module
2.3 Design of the Save Module
3 Experiment and Analysis
3.1 Data Preparation
3.2 ALBERT Module
3.3 TextCNN Module
3.4 Fully Connected Layer
3.5 Output Labels
3.6 Experimental Results
4 Conclusion and Future Works
4.1 Conclusion
4.2 Future Works
References
Research on Construction and Application of Knowledge Graph for Coal Mine Safety Production Specifications
1 Introduction
2 Review of Literature
2.1 Coal Mine Safety Production Specifications
2.2 Knowledge Graph and Application
3 Knowledge Graph Construction
3.1 Data Description and Processing
3.2 Designing the Ontology Structure
3.3 Ontology Construction
3.4 Knowledge Extraction
3.5 Constructing the Graph
4 Application
4.1 Topic Analysis
4.2 Knowledge Association Analysis
5 Conclusion
References
A TMFV-Based Adaptive E-Learning System for Generating and Allocating Questions
1 Introduction
2 Methodology
2.1 Adaptation Module Framework
2.2 Adaptive Question Generation
2.3 Dynamic Knowledge Tracking
3 Experiments
3.1 Datasets
3.2 Results
4 Conclusions
References
MedFPNet: A Medical Image Segmentation Network Based on Fourier Transform
1 Introduction
2 Related Work
2.1 Convolutional Neural Networks (CNNs)
2.2 Fourier Transform
3 Method
3.1 Overall Model
3.2 The Coarse and the Fine Double Branches
3.3 Residual Amplitude Block, Residual Phase Block
4 Experiments and Results
4.1 Dataset and Experimental Details
4.2 Experimental Results
5 Conclusion
References
Image Classification Algorithm Based on Improved Soft Thresholding and Residual Network
1 Introduction
2 ST-ResNet18 Model Structure
2.1 Selection of Baseline Model
2.2 Improvement of Network Structure
2.3 Data Augmentation
3 Analysis of Experimental Results
3.1 Datasets
3.2 Experimental Environment and Parameter Configuration
3.3 Ablation Study
4 Conclusion
References
Graph Similarity Based on Optimal Transmission for Optimal Deployment of Intelligent Wireless Sensor Networks
1 Introduction
2 Graph Similarity Based on Optimal Transmission
2.1 Optimal Transport and 2-Wasserstein Distance
2.2 Graph Distribution Representation Based on Variational Auto-Encoders
3 Experiment
4 Conclusion
References
Remote Sensing Image Object Detection Based on Improved YOLOv7 Algorithm
1 Introduction
2 YOLO Algorithm and Improvement
2.1 Yolo
2.2 ECA Attention Module
2.3 SPD-Conv Block
2.4 The Improved Network Structure
2.5 Experimental Results and Analysis
3 Conclusion
References
Efficient Video Deblurring Guided by Motion Magnitude and Convolutional Block Attention Module
1 Introduction
2 The Proposed Approach
2.1 Motion Magnitude Prior
3 Experiment
3.1 Datasets
3.2 Implementation Details
3.3 Evaluation
3.4 Ablation Experiment
3.5 Comparison with Other Methods
4 Conclusion
References
Investigation on Semantic Segmentation of Remote Sensing Images Based on Transformer Encoder
1 Introduction
2 Remote Sensing Semantic Segmentation Networks Based on Transformer Encoder
2.1 Encoder Based on the Transformer
2.2 Encoder Mixing CNN and Transformer
2.3 Discussion
3 Prospection
4 Conclusion
References
Deep Learning Estimation of Medical Substance Concentrations Using Pytorch
1 Introduction
2 Data Processing
2.1 Data Reading and Cleaning
2.2 Labeling and Data Partitioning
3 Model Selection and Code Writing
4 Data Analysis
5 Conclusion
References
Integrated Classification and Regression for Quantitative Biomarker Analysis in Mixture Samples
1 Introduction
2 Post-Classification Regression
2.1 Basic Model Selection
2.2 Classification-Regression Connection
2.3 Overfitting Treatment
3 Algorithm Implementation and Debugging
3.1 Data Processing
3.2 Algorithm Description
3.3 Data Analysis Results
4 Conclusion
References
Intelligent Clustering Coloring Algorithm Based on K-means++ Algorithm in WBANs
1 Introduction
2 Related Work
3 System Model
4 Experimental Results
5 Conclusion
References
Dynamic Spectrum Access for Overcoming Channel Congestion in WBAN: A Distributed Deep Reinforcement Learning Algorithm
1 Introduction
2 WBAN Dynamic Spectrum Access (DSA) Model
2.1 Utility Function of Cumulative Rewards
3 Algorithm Implementation
4 Simulation Result
5 Conclusion
References
Few Shot Specific Emitter Identification Based on Triplet Loss
1 Introduction
2 The Few-Shot Method Based on Triplet Loss
2.1 Triplet Loss
2.2 The Embedding Network
2.3 PCA and Downstream Classification Method
3 Experimental Results and Discussion
3.1 Comparison Between the Triplet Network and the Baseline Model
3.2 Importance of PCA
3.3 Influence of Carrier Frequency
4 Conclusion
References
A Sentiment Classification Model Based on Deep Learning and Two Level Stacking SVM
1 Related Work
1.1 Sentiment Classification
1.2 Attention Mechanism
2 A Sentiment Classification Method Combining Deep Learning and Two-Stage SVM
2.1 Data Preprocessing
2.2 Feature Extraction Based on Attention Mechanism
2.3 Two-Stage Stacking SVM Sentiment Classification
3 Experiment and Analysis
3.1 Datasets and Evaluation Indicators
3.2 Experimental Design
3.3 Experimental Results and Analysis
4 Conclusion
References
Research on Small Target Detection Algorithm Based on Improved YOLOv5s
1 Introduction
2 Improved YOLOv5 Algorithm
2.1 Backbone Network Introduction Channel Attention ECA
2.2 Add Small Target Detection Head
3 Materials and Methods
3.1 Datasets
3.2 Evaluating Indicator
4 Experiment and Result Analysis
4.1 Experimental Environment
4.2 Experimental Results and Analysis
5 Conclusion
References
Palmprint Encryption and Authentication Method Based on Masked Autoencoders
1 Introduction
2 Masked Autoencoders Model
3 Method Framework
3.1 Preprocessing
3.2 Encryption
3.3 Authentication
4 Experimental Results and Analysis
4.1 Dataset Analysis
4.2 Evaluation Indicator
4.3 Experimental Results
5 Conclusion
References
Prediction of College English Final Exam Scores Based on Formative Performance Using Machine Learning Methods
1 Introduction
2 Related Work
2.1 Dataset Collection and Preprocessing
2.2 Machine Learning Methods
3 Experiment Result
4 Conclusion
References
Enhanced Featurization of Queries with Interval Density Encoding
1 Introduction
2 Related Work
3 Proposed Method
3.1 Workflow
3.2 Interval Density Encoding
4 Experiments and Analysis of Results
4.1 Datasets
4.2 Evaluation Metrics
4.3 Experimental Results
5 Conclusion
References
Research on Pedestrian Detection Based on Improved YOLOv7-Tiny Algorithm
1 Introduction
2 Multilevel Receptive Field Fusion Method
2.1 RFB-ELAN Module
2.2 NGWDI Loss
3 Experiments
3.1 Datasets and Experimental Environment
3.2 Results and Analysis
4 Conclusion
References
Sum-Product Network-Based Cardinality Estimation Research
1 Introduction
2 Related Work
3 S-FSPN Model
3.1 Problem Description and Formalization
3.2 RDC-ASHT
3.3 SCS
4 Experiment and Analysis
4.1 Dataset
4.2 Evaluation Indicators of the Model
4.3 Experiments and Analysis of SCS
4.4 Experiments and Analysis of Grid-Based Clustering Algorithm Improvement
4.5 Experiments and Analysis of RDC-ASHT
4.6 Experiment and Analysis of S-FSPN Model
5 Summary
References
Application of BERT-Based Semantic Matching Algorithm for Cross-Page Table Recognition
1 Introduction
2 Related Work
2.1 Cross-Page Table Recognition
2.2 BERT Semantic Matching Algorithm
3 Methodology
3.1 Cross-Page Table Merging Method
3.2 Dataset Generation Method
4 Experiment
4.1 Experimental Data
4.2 Experimental Settings
4.3 Experimental Results
5 Conclusion
References
FGL-YOLOv8: A Fine-Grained Lightweight Algorithm for Small Object Detection in UAV Images
1 Introduction
2 FGL-YOLOv8 Detection Algorithm
2.1 Small Object Detection Branch
2.2 Cropped Feature Map
2.3 SPD Module
3 Experiment and Results
3.1 Datasets and Experimental Setup
3.2 Ablation Experiments
3.3 Comparative Experiments
3.4 Detection Results
4 Conclusion
References
Robust Analysis of Visual Question Answering Based on Irrelevant Visual Contextual Information
1 Introduction
2 Related Work
2.1 VQA
2.2 Bias and Robustness in VQA
2.3 Visual Context
3 Method
3.1 Dataset Label Generation
3.2 Semantic Relatedness
3.3 SwapMix Modifications
4 Experiment
4.1 Dataset and Environment Creation
4.2 SwapMix Perturbation Results
4.3 Ablation and Analysis
5 Conclusion
References
Research on Cross-Domain Text2SQL Enhancing Database Schema Awareness
1 Introduction
2 Related Work
3 Definition
4 Knowledge Injection
4.1 Knowledge Layer
4.2 Schema Linking
5 Experiments and Analysis
5.1 Dataset and Evaluation
5.2 Experimental Results and Analysis
6 Conclusions
References
Network Protocol Optimization for IoT Networks with Hybrid Wired and Wireless Access
1 Introduction
2 System Model
3 The Hybrid Access Scheme
3.1 Design of Access Strategy Based on Data Transmission Delay
3.2 Hybrid Access Mechanism Design
4 Simulation
5 Conclusion
References
Research on FaceNet Face Recognition Algorithm Based on Attention Mechanism
1 Introduction
2 Related Work
2.1 MTCNN Model
2.2 FaceNet Model
3 FaceNet Algorithm Optimization
3.1 Attention Mechanism Module
3.2 Joint Loss Function
3.3 Network Overall Model Design
4 Experimental Design and Results
4.1 Dataset
4.2 Experimental Environment and Parameter Setting
4.3 Analysis of Experimental Results
5 Conclusion
References
A Ship Target Intelligent Detection Algorithm Based on Improved YOLOv5s
1 Introduction
2 Method
2.1 Coordinate Attention
2.2 SIoU Loss Function
2.3 Improved Network Architecture
3 Experiment and Analysis
3.1 Dataset
3.2 Simulation Setup
3.3 Evaluation Metrics
3.4 Comparative Experiment
4 Conclusion
References
Energy Efficiency Optimization Based on Unsupervised Learning in Wireless Communication Systems
1 Introduction
2 System Model
3 Deep-Learning based Resource Allocation
3.1 Unsupervised DNN Structure
3.2 Training DNN
4 Simulation Results and Discussion
4.1 Simulation Environment and Parameters
4.2 Effect of Different Distances Between Communication Links
4.3 Impact of Interference Links on System Energy Efficiency
5 Computational Complexity
6 Conclusion
References
Learning Semantic Representation for Binary Code Similarity Detection
1 Introduction
2 Related Work
2.1 Similarity Detection Methods Based on Numerical Features
2.2 Similarity Detection Methods Based on Model Learning
3 Method
3.1 Overview
3.2 Data Preprocessing
3.3 Semantic Feature Extraction
3.4 Graph Embedding
3.5 Similarity Comparison
4 Experiment
4.1 Experiment Setting
4.2 Binary Function Similarity Detection Task
4.3 Cross-Platform Detection Task
4.4 Cross-Optimization Detection Task
5 Conclusion
References
Interpretable Back Propagation Neural Network Based Fast Directional Modulation Design
1 Introduction
2 Review of Directional Modulation Based on a Traditional Optimisation Method
2.1 Principle of Narrowband Beamforming
2.2 DM Design Based on a Traditional Optimisation Method for a Given Array Geometry
3 Directional Modulation Design Based on BP Neural Network
3.1 Theory of BP neural network
3.2 Adaptive Moment Estimation Training Algorithm for BP Neural Networks
4 LIME Based Interpretable Analysis Method
5 Simulation Results
5.1 Model prediction results
5.2 Model Interpretation Based on LIME Interpretation Method
6 Conclusions
References
Sparse Deep Neural Network Based Directional Modulation Design
1 Introduction
2 Review of DM Design Based on Narrowband Linear Antenna Arrays
3 Sparse Deep Neural Networks
4 Design Examples
4.1 Model Establishment
4.2 Design Results
5 Conclusions
References
Multi-agent Deep Reinforcement Learning with Hybrid Action Space for Resource Allocation of Vehicular Networks
1 Introduction
2 System Model
3 Resource Allocation Based on Multi-agent Deep Reinforcement Learning with Hybrid Action Space
4 Simulation Results
4.1 Impact of V2V Payload Size on Network Performance
4.2 Impact of Vehicle Velocity on Network Performance
5 Conclusion
References
Resource Allocation of Full-Duplex Vehicular Networks Based on Multi-Agent Deep Reinforcement Learning
1 Introduction
2 System Model
3 Multi-Agent RL Based Resource Allocation
4 Simulation Results
5 Conclusion
References
Port Container Detection in Foggy Weather Scenarios Based on YOLOv5
1 Introduction
2 Improved YOLOv5s Dehaze Detection Algorithm Model Using IDCDA Algorithm
3 Based on the Principle of IDCDA (Improved Dark Channel Defog Algorithm)
3.1 Estimation Method of Atmospheric Light Intensity a Based on the Minimum Value of the Color Channel in the Fog-Free Image of the Port Container Yard
3.2 Estimation of Transmittance t(X) in Foggy Images
3.3 Fog-Free Image Restoration Method Based on Limited Transmittance Minimum Processing and Brightness Equalization
4 SE Attention Mechanism, Mechanism Principle of Ghost Module and Improved YOLOv5s Dehazing Detection Algorithm Model Using IDCDA Algorithm
4.1 Related Principles of SE Attention Mechanism
4.2 Related Principles of Ghost Module
5 Experiments and Analysis
5.1 Dataset, Experimental Environment and Evaluation Index Introduction
5.2 Verify the Effectiveness of the Dehazing Algorithm IDCDA
5.3 Ablation Experiment of SE Attention Mechanism and Ghost Module for Container Door Detection and Worker Overalls Detection
6 Summary and Outlook
References
Make Chat-GPT 4 an Expert Reading Assistant
1 Introduction
2 Research Programme
2.1 Introduction to the Overall Framework
2.2 Introduction to the Model Structure
2.3 Getting GPT-4 to Generate Code for Data Visualisation
2.4 Introduction to the Tip Specialist Strategy
3 Domain Knowledge Enhancement and Visual Information Extraction System Based on Chat-GPT4
3.1 Information Extraction and Visualisation Module Based on Attention Mechanisms
3.2 Dialogue Generation Models with Domain Knowledge
3.3 Modular, Open Architecture Design
4 Experimental Results and Analysis
5 Conclusion
References
Based on the Improved AlexNet Flower Identification System
1 Introduction
2 AlexNet
2.1 AlexNet Neural Network
2.2 AlexNet Innovation
2.3 AlexNet Network Structure
3 Method Design
3.1 Data Preprocessing
3.2 Improved AlexNet Model
4 Experiments and Analysis
5 Conclusion
References
Face Recognition and Facial Temperature Detection System Based on Neural Network Algorithms
1 Introduction
2 Overall Design
3 Hardware System Design
4 Software System Design
4.1 System Software Design Flow
4.2 Neural Network Algorithm Model
5 Experimental Results
6 Conclusions
References
Research and Application of Medical Image Segmentation Method Based on CNN
1 Introduction
2 Network Model
2.1 U-Net Network Principles
2.2 Attention Mechanism
2.3 Neural Network Optimization
3 Experiment and Analysis
4 Conclusion
References
Application and Analysis of Medical Image Processing Based on Improved CLAHE
1 Introduction
2 Medical Background
3 Algorithm Background
3.1 Histogram Equalization
3.2 Adaptive Histogram Equalization
3.3 Contrast Limited Adaptive Histogram Equalization
3.4 Improved CLAHE Algorithm
4 Experimental Result
5 Conclusion
References
Intelligent Identification of Personnel off Duty Based on Improved YOLOv5
1 Introduction
2 Basic Method
2.1 YOLOv5
2.2 BoT
2.3 Improved YOLOv5 Network
3 Experiments and Result
3.1 Experiment Details
3.2 Result and Analysis
4 Results
References
Research on Using English as a Medium to Transmit Chinese Food Culture-Illustrated by the Example of Tianjin Cuisine Culture
1 Introduction
2 Characteristics of Chinese Food Culture
3 Paths and Strategies of the Integration
3.1 Accurate and Standardized English Translation and Dishes Names
3.2 Pay Attention to the Transmission of Cultural Connotations
3.3 Appropriate Use of Information Technology
4 Conclusion
References
Research on Cross-Language Cultural Communication Under "Internet Plus"
1 Introduction
2 The Significance of Building a Multi-Modal Cross-Cultural Communication System
3 Paths and Strategies of Cross-Language Cultural Communication
3.1 Challenges in Cross-Language Cultural Communication
3.2 The Countermeasures and Development Direction of Cross-Language Cultural Communication
4 Conclusion
References
Fine-Grained Sentiment Analysis Tasks Guided by Domain Knowledge
1 Introduction
2 Related Works
3 Method
3.1 Aspect-Based Sentiment Analysis
3.2 Sentiment Knowledge Graph
3.3 Sentiment Opinions Knowledge BERT
3.4 Self-Attention
4 Experiments
4.1 Task Definition
4.2 Experiment Settings
4.3 Evaluation Index
5 Conclusions
References
Jetson Nano-Based Subway Station Area Crossing Detection
1 Introduction
2 Theoretical Basis
3 Region Crossing Detection Based on Yolov5s Algorithm
3.1 Introduction of the Yolov5s Algorithm
3.2 Evaluation Criteria
3.3 Experimental Environment and Parameter Settings
3.4 Experimental Results
4 Implementation of Region Crossing Detection Based on Embedded Jetson Nano
4.1 The Choice of Embedded Hardware
4.2 Environment Configuration
4.3 Tensorrt Inference Acceleration
4.4 Implementation of the Area Crossing Detection Function
5 Conclusion
References

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Artificial Intelligence in China

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