4th EAI International Conference on Robotic Sensor Networks

Description

This book presents papers presented at the 4th EAI International Conference on Robotic Sensor Networks. The conference explored the integration of networks and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors explore how big networks are becoming the main tool for the next generation of robotic research, owing to the explosive number of networks models and the increased computational power of computers. The papers discuss how these trends significantly extend the number of potential applications for robotic technologies while also bringing new challenges to the networks’ communities. The 2nd EAI International Conference on Robotic Sensor Networks was held online on November 21-22, 2020. Preface Conference Organization Steering Committee Organizing Committee Technical Program Committee Contents A Mobile Robotic System for Rescue and Surveillance in Indoor Environment 1 Introduction 2 Mobile Robotic System Design 2.1 System Architecture 2.2 Hardware Design 2.3 Software Design 2.4 Real-Time Human Detection 3 Experimental Results 3.1 Inference Benchmarks 3.2 Implementation Results 3.2.1 Mobile Robot Prototype 3.2.2 Robot Control and Management 4 Concluding Remarks References Study on the Learning in Intelligent Control Using Neural Networks Based on Back-Propagation and Differential Evolution 1 Introduction 2 Proposed Intelligent Scheme 2.1 Neural Network 2.2 Differential Evolution 2.2.1 Randomly Initialization 2.2.2 Mutation 2.2.3 Crossover 2.2.4 Selection 2.3 Proposed DE Type NN Scheme 3 Simulation Study 4 Experimental Study 5 Conclusions References Word Sense Disambiguation Based on Graph and Knowledge Base 1 Related Work 2 Method 2.1 HowNet 2.2 The Chinese Semantic Dictionary 2.3 WSD Based on Graph and Knowledge Base 2.3.1 The Disambiguation Framework 2.3.2 Dependency Parsing 2.3.3 Construct the Disambiguation Graph 3 Experiment and Analysis 3.1 Dataset Selection and Evaluation Method 3.2 Contrast Method 3.3 Experiment and Analysis 4 Conclusion References Prediction of GDP Carbon Emission Based on Grey Model and Neural Network 1 Introduction 2 Related Works 3 Model Construction 3.1 Design of GDP Carbon Dioxide Emissions Prediction Model 3.2 Design of Neural Network Prediction Model 3.3 Prediction Model of DGMBP Based on Combination of GM(1,1) and Neural Network 3.4 Testing of DGMBP (Discrete Gray Model with Back Propagation) 4 Experiment 4.1 Experimental Data 4.2 Analysis of Experimental Results 4.3 GDP Carbon Emission Forecast 5 Conclusions References Automatic Optimization of YOLOv3 Based on Particle SwarmAlgorithm 1 Introduction 2 A Brief Review on YOLOv3 3 The Proposed Particle Swarm Optimization 3.1 Overview 3.2 Hyperparameter Initialization 3.3 Brief Description of Algorithm Formula 3.4 Fitness Function 3.5 Particle Tuning Iteration 4 Experiment Implementation 4.1 Dataset 4.2 Experimental Facility 4.3 Obtain Optimal Hyperparameters 4.4 Experiment Results 5 Conclusion References Contour Mask and Matting Driven Face Image Generation 1 Introduction 2 Related Work 2.1 DCGAN 2.2 PGGAN 2.3 StyleGAN 3 Face Generation Networks 3.1 Architecture 3.2 Training 4 Experiments 4.1 Datasets 4.2 Implementation Details of Face Image Generation Based on Contour Mask 4.3 Implementation Details of Face Image Generation Based on Matting 4.4 Experimental Results 5 Conclusion and Discussion References Eye-Interface System Using Convolutional Neural Networks for People with Physical Disabilities 1 Introduction 2 Eye-Interface 2.1 Face Detection 2.2 Eye Detection 3 Gaze Direction Estimation Using Convolutional Neural Network 3.1 Convolutional Neural Network 3.2 Proposed Convolutional Neural Network 3.3 Creation of Training Data Set 3.4 Training of Convolutional Neural Network 4 Evaluation Experiment of Gaze Direction Estimation 4.1 Experimental Setting 4.2 Experimental Results 5 Conclusion References Proposal of Omnidirectional Movable Positioning Plate Using T-Shaped Omni Wheels 1 Introduction 2 Plate Moving Part 2.1 Constitution 2.2 Principle of Movement 3 Automatic Positioning Method Using P Control 3.1 Coordinate of an Object Acquisition Method 3.2 Positioning Method Using P Control 4 Experiment 4.1 Purpose 4.2 Method 4.3 Results 4.4 Discussion 5 Conclusions References A General Pseudo-Random Number Generator Based on Chaos 1 Introduction 2 Analysis of Commonly Used Pseudo-Random Number Generating Functions 2.1 Rand Function 2.2 Srand Function 2.3 Randomize Function 2.4 Random Function 3 One-Dimensional Logistic Map 4 Algorithm Design Principles 5 General Pseudo-Random Generation Interface Design 6 Performance Test 7 Conclusion References A Light Chaotic Encryption Algorithm for Real-Time VideoEncryption 1 Introduction 2 Design and Construction of Video Transmission Prototype System 3 Design and Implementation of Chaotic Encryption Algorithm 3.1 Design of Encryption Algorithm 3.2 Implementation of Encryption Algorithm 3.3 Improvement of the Encryption Algorithm 4 Implementation and Test of Video Encryption System Based on Chaos 4.1 Realization of Video Encryption System Based on Chaos 4.2 System Test 5 Conclusion References Intelligent Analysis and Presentation of IOT Image Collection in Private Cloud 1 Introduction 2 Related Work 2.1 Private Cloud 2.2 Edge Computing 3 Algorithm 3.1 Private Cloud Storage 3.2 Edge Computing 3.3 Microservice 4 Experimental Result 5 Conclusion References Author Index Subject Index