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Table of Contents
Intro
Preface
Organization
Services Society
Services Conference Federation (SCF)
Contents
Research Track
Push-Based Forwarding Scheme Using Fuzzy Logic to Mitigate the Broadcasting Storm Effect in VNDN
1 Introduction
2 Vehicular Named Data Networking (VNDN)
2.1 Content Store (CS)
2.2 Pending Interest Table (PIT)
2.3 Forwarding Information Base (FIB)
2.4 Consumer Vehicle
2.5 Producer Vehicle
3 Push-Based Data Forwarding in VNDN
4 Proposed Push-Based Data Forwarding Scheme with Fuzzy Logic
4.1 K-Means Clustering
4.2 Selection of Cluster Head (CH) Using Fuzzy Logic
4.3 Proposed Data Packet Format
4.4 Proposed Scheme for Producer
4.5 Proposed Scheme for Consumer
4.6 Critical Data Forwarding Procedure by the Proposed Scheme
5 Simulation Environment and Results
6 Conclusion
References
DCRNNX: Dual-Channel Recurrent Neural Network with Xgboost for Emotion Identification Using Nonspeech Vocalizations
1 Introduction
2 Related Works
3 Proposed Method
3.1 Dual-Channel Neural Network Model
3.2 Introducing Attention Mechanism in Two-Channel Model
3.3 XGBoost Classifier
3.4 Model Fusion Using L2 Norm
4 Experiments
4.1 Datasets Used
4.2 Experimental Setup
4.3 Experimental Results
4.4 Introduce Attention Mechanism
4.5 Data Augmentation
5 Conclusion
References
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation
1 Introduction
2 Related Work
3 Methodology
3.1 Background Knowledge
3.2 The Proposed STaR Model
3.3 Discussions
4 Experiments
4.1 Experiments Settings
4.2 Main Results
5 Analysis
5.1 Further Comparison with ComplEx
5.2 Imbalance Ratio Among KGs
5.3 Improvements on WN18RR Come from Modeling Non-commutativity Pattern
6 Conclusion
References
Application Track
Frequently Asked Question Pair Generation for Rule and Regulation Document
1 Introduction
2 Related Work
2.1 QA Pair Generation
2.2 FAQ Pair Generation
3 Data Collection and Analysis
3.1 Data Collection
3.2 Data Analysis
4 Methodology
4.1 Rule-Based FAQ Pair Generation
4.2 Pipeline Framework
5 Experiment
5.1 Experiment Setting
5.2 Evaluation Metrics
5.3 Analysis Experiment
5.4 Human Evaluation
5.5 Case Study
6 Conclusion
Preface
Organization
Services Society
Services Conference Federation (SCF)
Contents
Research Track
Push-Based Forwarding Scheme Using Fuzzy Logic to Mitigate the Broadcasting Storm Effect in VNDN
1 Introduction
2 Vehicular Named Data Networking (VNDN)
2.1 Content Store (CS)
2.2 Pending Interest Table (PIT)
2.3 Forwarding Information Base (FIB)
2.4 Consumer Vehicle
2.5 Producer Vehicle
3 Push-Based Data Forwarding in VNDN
4 Proposed Push-Based Data Forwarding Scheme with Fuzzy Logic
4.1 K-Means Clustering
4.2 Selection of Cluster Head (CH) Using Fuzzy Logic
4.3 Proposed Data Packet Format
4.4 Proposed Scheme for Producer
4.5 Proposed Scheme for Consumer
4.6 Critical Data Forwarding Procedure by the Proposed Scheme
5 Simulation Environment and Results
6 Conclusion
References
DCRNNX: Dual-Channel Recurrent Neural Network with Xgboost for Emotion Identification Using Nonspeech Vocalizations
1 Introduction
2 Related Works
3 Proposed Method
3.1 Dual-Channel Neural Network Model
3.2 Introducing Attention Mechanism in Two-Channel Model
3.3 XGBoost Classifier
3.4 Model Fusion Using L2 Norm
4 Experiments
4.1 Datasets Used
4.2 Experimental Setup
4.3 Experimental Results
4.4 Introduce Attention Mechanism
4.5 Data Augmentation
5 Conclusion
References
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation
1 Introduction
2 Related Work
3 Methodology
3.1 Background Knowledge
3.2 The Proposed STaR Model
3.3 Discussions
4 Experiments
4.1 Experiments Settings
4.2 Main Results
5 Analysis
5.1 Further Comparison with ComplEx
5.2 Imbalance Ratio Among KGs
5.3 Improvements on WN18RR Come from Modeling Non-commutativity Pattern
6 Conclusion
References
Application Track
Frequently Asked Question Pair Generation for Rule and Regulation Document
1 Introduction
2 Related Work
2.1 QA Pair Generation
2.2 FAQ Pair Generation
3 Data Collection and Analysis
3.1 Data Collection
3.2 Data Analysis
4 Methodology
4.1 Rule-Based FAQ Pair Generation
4.2 Pipeline Framework
5 Experiment
5.1 Experiment Setting
5.2 Evaluation Metrics
5.3 Analysis Experiment
5.4 Human Evaluation
5.5 Case Study
6 Conclusion