Tools for Design, Implementation and Verification of Emerging Information Technologies: 15th EAI International Conference, TridentCom 2020, Virtual ... and Telecommunications Engineering)

This book constitutes the refereed post-conference proceedings of the 15 th EAI International Conference on Tools for Design, Implementation and Verification of Emerging Information Technologies, TridentCom 2020. Due to COVID 19 pandemic the conference was held virtually. The 12 full papers were selected from 32 submissions and deal the emerging technologies of big data, cyber-physical systems and computer communications. The papers are grouped in thematical sessions on computer network and testbed application as well as analytics for big data of images and test. Preface Organization Contents Computer Network and Testbed Application Prototyping an SDN Control Framework for QoS Guarantees 1 Introduction 2 Related Work 3 Design and Implementation 3.1 Traffic Classifier and Queue Assignment 3.2 Latency Collection 3.3 Latency Estimation 3.4 Path Selection 3.5 Queue Control and Control Flows Prioritization 4 Evaluation 4.1 GENI Topology 4.2 Resource Setup 4.3 Performance Results 5 Conclusions References Precision Improvement of Overprinting System Based on Improved Laplace Edge Detection Algorithm 1 Introduction 2 Traditional Crossline Detection Methods 3 Error Detection Based on Overlay Quasi-identifier 3.1 Overprinting Quality Detection Method 3.2 Color Segmentation Method 4 Improved Laplacian Edge Detection Algorithm 4.1 The Disadvantage of Laplacian Operator 4.2 Improvement of Laplace Operator Using 2D-Gaussian Function 4.3 Algorithm Optimization 5 Determine the Center Coordinates of the Crosslines 5.1 Target Searching Algorithm Based on Rhombus Matching 5.2 Additional Cases for Practical Application 6 Precision Improvement of Overprinting System 7 Simulation and Experimental Results Analysis 8 Summary and Prospect References Requirements for Deploying IP and ICN Network Stacks on a Common Physical Infrastructure 1 Introduction 2 A Brief Overview of ICN 3 Dual Stack Deployment Problems 4 Deployment Solution 5 Requirements 6 Related Work 7 Conclusions References A Pure Network-Based Approach to Achieve Always Best Quality Video Streaming 1 Introduction 2 Background 2.1 HTTP Adaptive Streaming (HAS) 2.2 Exploring HAS Application’s Behavior 2.3 Software-Defined Network (SDN) 3 Our Proposed Mechanism 3.1 Modeling HAS Application Behavior 3.2 Considered Bandwidth Competition Scenario 3.3 Proposed Mechanism in Bandwidth Competition Scenario 4 Evaluation 4.1 Experiment Setup 4.2 Evaluate the Proposed Mechanism 5 Conclusion References CNN-Based Book Cover and Back Cover Recognition and Classification 1 Introduction 2 Overview 3 Basic Principles of Deep Learning 3.1 Neural Networks 3.2 Convolutional Neural Network 4 Image Recognition Classification Model Based on CNN 4.1 Experimental Environment 4.2 Data Preprocessing 4.3 Design and Construction of Neural Network Model 4.4 Model Training 5 Model Assessment 6 Conclusion References A Case Study of Linguistic Research Methods in the Age of Computing 1 Introduction 1.1 Research Method 1.2 Research Data Sources 2 Analysis of Annual Paper Volume 3 Source Journal Analysis 4 Keyword Analysis 4.1 Keyword Co-occurrence Analysis 4.2 Keyword Cluster Analysis 4.3 Keyword Evolution Trend Analysis 5 Conclusion References Analytics for Big Data of Images and Test An Analysis Model of Automobile Running State Based on Neural Network 1 Introduction 1.1 Background 1.2 The Current State of Research at Home and Abroad 2 Related Research 2.1 Self-organizing Map Neural Network 2.2 Overview of the K-Means Model 3 Improved Self-organizing Neural Mapping Network for Automotive Driving Conditions Construction 3.1 Basic Principle 3.2 Model Building 3.3 Code Implementation 4 Analysis of Experimental Results 4.1 The Experimental Process 4.2 Extraction of Motion Fragments 4.3 Selection and Calculation of Feature Parameters 4.4 Results and Analysis 5 Conclusion References Fusing BERT and BiLSTM Model to Extract the Weaponry Entity 1 Introduction 2 Design of Weapon Equipment Entity Extraction Model 2.1 BERT Pre-trained Language Model 2.2 BILSTM Input Vector Representation 2.3 Fusion of BILSTM and BERT Models 3 Experiments 3.1 Dataset 3.2 Evaluation Index 3.3 Experiments and Results Analysis 4 Conclusion References CIC Chinese Image Captioning Based on Image Label Information 1 Introduction 2 Related Work 3 CIC: Label-Based Chinese Image Captioning Model 3.1 Image Label Prediction Network FC-PT 3.2 CIC: Label-Based Chinese Image Captioning Model 4 Experiment 4.1 Datasets 4.2 Experiment Details 4.3 Evaluating the Proposed Label Prediction Network 4.4 Evaluating the Proposed Chinese Image Captioning Model (CIC) 5 Conclusion and Future Work References Cross-language Transfering the Patent Quality Evaluation Model Based on Active Learning Data Extension 1 Introduction 2 Related Work 3 Cross-language Transfering Patent Quality Evaluation Model Based on Active Learning Data Extension 3.1 Prediction Model of Chinese Patent Quality Grade 3.2 PQE-MT Model Structure and Transfer Learning 3.3 Efficient Transfer Using Active Learning 4 Experimental Results and Analysis 4.1 Experimental Data 4.2 Evaluation Indicators 4.3 Parameter Setting 4.4 Model Training Results 5 Conclusions References Construction of Unsupervised Prose Text Emotional Lexicon Based on Multidimensional Fusion 1 Introduction 2 Literature Review 3 Design of Construction Method of Prose Emotion Dictionary 3.1 Corpus Preprocessing 3.2 Lexical Relevance Analysis of Prose Corpus 3.3 The Construction of Common Emotional Word Database in Prose 4 Experimental Results and Analysis 4.1 Experimental Results of Data Preprocessing 4.2 Vocabulary Relevance Experiment of Prose Corpus 5 Summary References Algorithm Based on LLCBF for Large Flows Identification 1 Introduction 2 Related Work 3 Classical Least Recent Used Algorithm 4 Strategies Used in Our Algorithm 4.1 Large Flows Handled Firstly 4.2 Using Counting Bloom Filter to Filter Most Small Flow Packets 4.3 Using the LRU Mechanism to Filter Small and Medium Flows and Pre-protect Large Flows 4.4 Using LEAST Elimination Mechanism to Identify Large Flows 5 Identifying Large Flows by LL-CBF Algorithm 6 Performance Evaluation 7 Experimental Analysis 8 Conclusion References Author Index