Industrial IoT Technologies and Applications: 4th EAI International Conference, Industrial IoT 2020, Virtual Event, December 11, 2020, Proceedings ... and Telecommunications Engineering)

Description

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Industrial IoT Technologies and Applications, IoT 2020, held in December 2020. Due to Covid-19 pandemic the conference was held virtually. The widespread deployment of wireless sensor networks, clouds, industrial robot, embedded computing and inexpensive sensors has facilitated industrial Internet of Things (IndustrialIoT) technologies and fostered some emerging applications. The 14 carefully reviewed papers are a selection from 28 submissions and detail topics in the context of IoT for a smarter industry. Preface Conference Organization Contents Session 1 Crowd Anomaly Detection Based on Elevator Internet of Things Technology 1 Introduction 2 Related Work 3 Structure of Our System 3.1 Infrastructure of Internet of Things (IoT) for Data Collection 3.2 Instance Segmentation, Embedding and Clustering 3.3 GraftNet: A Solution for Fine-Grained Multi-label Classification 3.4 Power Lines Communication (PLC) 4 Hierarchical Anomaly Detection for Abnormal Activity 4.1 Isolation Forest: Anomaly Detection of Unsupervised Learning 4.2 Feature Generation and Hierarchical Anomaly Detection 4.3 Manual Review and Analysis 4.4 Anomaly Multi-classification 5 Conclusion References Real-Time Task Scheduling in Smart Factories Employing Fog Computing 1 Introduction 2 Related Works 3 Scheduling Frameworks in Smart Factories 3.1 Task Classification 3.2 Scheduling Framework for Real-Time Tasks 4 System Model 4.1 Time Delay Optimization Model Based on ARQ Protocol 4.2 GSA-P Algorithm 4.3 GSA-R Algorithm 5 Simulation Experiment 5.1 Simulation Environment 5.2 Results and Analysis 6 Conclusion References An Efficient Network-Wide Reliable Broadcast Protocol for Medical Sensor Networks 1 Introduction 2 Single-Hop Broadcast 3 Network Coding Gain 4 Network-Wide Broadcast 5 Simulation Results 6 Conclusion References Session 2 Beyond Anchors: Optimal Equality Constraints in Cooperative Localization 1 Introduction 2 Related Work 3 Problem Formation 3.1 Internode Measurements 3.2 Global Constraints 3.3 CRLB 4 Optimal Equality Constraints 4.1 Construction 4.2 Feasibility 5 Simulations 6 Conclusions 7 Discussions and Future Work References End-to-End Error Control Coding Capability of NB-IoT Transmissions in a GEO Satellite System with Time-Packed Optical Feeder Link 1 Introduction 2 System Model 2.1 NB-IoT Transmission in Radio Access (Uplink of Reverse Link) 2.2 Optical Transmission in Feeder Link (Downlink of Reverse Link) 3 Adaptive Equalization 4 Performance Evaluation 4.1 Simulation Setup 4.2 Simulation Results 5 Conclusions References Decentralized Brains: A Reference Implementation with Performance Evaluation 1 Introduction 2 Background 2.1 Decentralized Brains 2.2 Why Use Contiki-NG? 3 Communication Overview 3.1 Synchronous Broadcast 3.2 Design and Implementation 4 Experimental Setup and Results 4.1 Observing Effect of Concurrent Transmissions 4.2 Performance Evaluation 4.3 Energy Profile of Decentralized Brains Broadcast 5 Conclusion 5.1 Future Work References Wireless Sensor Network to Create a Water Quality Observatory in Coastal Areas 1 Introduction 2 Related Work 3 System Description 3.1 System Overview 3.2 Hardware 3.3 The Things Network Platform 3.4 Web-Based User Interface 4 Results 5 Conclusion and Future Work References Session 3 An Intelligent Predictive Maintenance Approach Based on End-of-Line Test Logfiles in the Automotive Industry 1 Introduction 2 Related Works 3 State of the Art Review 3.1 Maintenance Approach Classification 3.2 Development Techniques of Data-Driven Models for Maintenance Purposes 3.3 Ensemble Learning-Based Predictive Modelling 3.4 End-of-Line (EOL) Testing Systems 4 Problem Description 4.1 Log Data Description 4.2 PdM Approach 5 Case Study 5.1 Methodology and Materials 5.2 Data Acquisition and Preparation 5.3 Dataset Overview and Principal Component Analysis 5.4 EOL Operation Regions Classification and RUL 5.5 EOL Testing Curves Dashboard and Statistical Measurements Information 6 Conclusion and Future Work References Towards Construction Progress Estimation Based on Images Captured on Site 1 Introduction 2 Related Work 2.1 Use Case 2.2 Methods 3 Scenarios 3.1 Road Construction 3.2 Wind Turbine Installation 4 Progress Estimation 4.1 Concept 4.2 Stage 1: Image Processing 4.3 Stage 2: Progress Estimation 5 Evaluation 5.1 Object Detection for Wind Turbine Installation 5.2 Semantic Segmentation for Road Construction 5.3 Progress Prediction - Road Construction 5.4 Progress Prediction - Wind Turbine Construction 5.5 Wind Turbine Construction - Using Image Captions 6 Conclusion References Integration of Wireless Communication Capabilities to Enable Context Aware Industrial Internet of Thing Environments 1 Introduction 2 Wireless Channel Simulation in the Scenario Under Test References Power-Based Intrusion Detection for Additive Manufacturing: A Deep Learning Approach 1 Introduction 2 Related Works 3 System Model 3.1 3D-printer Operation Model 3.2 Tool-Path Instruction Model 3.3 Extruder Head Movement Model 3.4 Power Consumption Measurement Model 3.5 Threat Model 4 Power-Based Deep Learning Attack Detection Method 4.1 Deep Neural Network Architecture 4.2 Detection of Abnormal Average Peak Current 5 Experimental Evaluation 5.1 Testbed Implementation 5.2 Power Consumption Measurement Preprocessing 5.3 Deep Neural Network Training 5.4 Hyperparameter Tuning 5.5 Results 6 Conclusions and Future Work References Session 4 A Proposal for Monitoring Grass Coverage in Citrus Crops Applying Time Series Analysis in Sentinel-2 Bands 1 Introduction 2 Related Works 3 Materials and Method 3.1 Characteristics of the Satellite 3.2 Studied Zone 3.3 Performance of the Experiment 4 Results 4.1 Evaluation of Different Band Combination 4.2 Analysis of Data 5 Conclusions References Correlation of NDVI with RGB Data to Evaluate the Effects of Solar Exposure on Different Combinations of Ornamental Grass Used in Lawns 1 Introduction 2 Related Work 3 Materials and Methods 3.1 Equipment Used to Gather the Data 3.2 Software for Data Analysis 3.3 Plots Description 4 Results 4.1 Histogram Analysis 4.2 Correlation Between NDVI and RGB Data 4.3 Effectiveness of NDVI and RGB Data for Assessing Grass Status Concerning Different Solar Exposures 5 Conclusions References Deployment and Assessment of a LoRa Sensor Network in Camelina [Camelina sativa (L.) Crantz] Culture 1 Introduction 1.1 LoRa Technologies 1.2 Camelina Culture 1.3 Related Works 2 Materials and Methods 3 Results 3.1 Meteorological Data 3.2 LoRa Network Sensors Data 4 Discussion 5 Conclusions References Author Index