Modern Industrial IoT, Big Data and Supply Chain: Proceedings of the IIoTBDSC 2020 (Smart Innovation, Systems and Technologies, 218)

Preface
Contents
About the Editors
Part I Area 1: Industrial Internet of Things (IIOT) Fundamentals and Applications
1 A Modelling Framework for CPS-Based Industry 4.0: Application to Manufacturing Systems
	1.1 Introduction
		1.1.1 Context and Problematic
		1.1.2 Paper Organization
	1.2 A Cross-Layers Architecture for CPS-Based Industry 4.0
	1.3 Case Study: A Grader Manufacturing System
	1.4 Conclusion and Perspectives
	References
2 A Deep Classifier for Crowdsourcing User Requests
	2.1 Introduction
	2.2 Background
		2.2.1 Software Requirement Classification
		2.2.2 Related Techniques
	2.3 Approach
	2.4 Experiment and Results
		2.4.1 Experiment
		2.4.2 Discussion
	2.5 Threats to Validity
	2.6 Conclusion and Future Work
	References
3 PS-AENN-Based Prediction Model of Billet Temperature in Industrial Steelmaking Process
	3.1 Introduction
	3.2 Preliminary Work
		3.2.1 Problem Description
		3.2.2 Parameter Selector
		3.2.3 Auto-Encoder
		3.2.4 Model Building
	3.3 Industry Case Study
		3.3.1 Industry Case and Data Description
		3.3.2 Experiment
		3.3.3 Summary
	References
4 Research for Field Strength Measuring Experience of Low-Frequency Time-Code Timing Signal
	4.1 Introduction
	4.2 The Foundation of Theory
		4.2.1 Definition of Signal Field Strength
		4.2.2 Principle of Field Strength Measurement
		4.2.3 Field Strength Propagation Mechanism
	4.3 Design of Measurement Test
		4.3.1 Signal Field Strength Measurement System
		4.3.2 Design of Test Plan
	4.4 Data Processing Analysis
		4.4.1 Ground Wave Zone (50–300 km)
		4.4.2 Ground and Sky Wave Interference Zone (300–800 km)
		4.4.3 The Value Compared with the Theoretical Value
	4.5 Conclusions
	References
5 Smart Medical and Its Ethical Problems
	5.1 Introduction and Background
	5.2 The Vision of Smart Medical
		5.2.1 Interaction in a Future Smart Hospital
		5.2.2 Smart Medical Based on Big Data and the Internet of Things
	5.3 Potential Ethics Problems
		5.3.1 Privacy Problems
		5.3.2 Data Ownership Problems
		5.3.3 Security and Liability Problems
		5.3.4 Risk of Unemployment
	5.4 Recommendations
	5.5 Conclusion
	References
6 Network-Aware Distributed Machine Learning Over Wide Area Network
	6.1 Introduction
	6.2 Algorithm Design
		6.2.1 Problem Formulation
		6.2.2 Network-Aware Decentralized Parallel Sgd
	6.3 Evaluation
		6.3.1 Experiment Settings
		6.3.2 Experiment Settings
	6.4 Related Work
	6.5 Related Work
	Reference
7 Avoidance of Suicidal Bombing Attack in Pakistan Using Machine Learning Models
	7.1 Introduction
	7.2 Methodology
		7.2.1 Dataset
		7.2.2 Classification Using Machine Learning
		7.2.3 Suicidal Attacks
	7.3 Results and Discussion
	7.4 Conclusion and Future Work
	References
8 4T4R Performance Analysis in Live FDD LTE Network
	8.1 Introduction
	8.2 Principle and Definition
	8.3 Results Analysis
		8.3.1 Sample Distribution of DL Average MCS
		8.3.2 Mean RRCConnected User
		8.3.3 Cell Throughput
		8.3.4 Average User Traffic Rate
		8.3.5 RI = 2 Ratio
	8.4 Conclusion and Perspective
	Reference
9 An Optimal Equilibrium Solution Approach for Bi-level Nonlinear Programming Problem Using Lingo Software
	9.1 Introduction
	9.2 Solution Concept
	9.3 Optimal Equilibrium Solution Method for BL-NLP
	9.4 Conclusion
	References
10 A Comparative Study on Transformer Versus Sequence to Sequence in Machine Translation
	10.1 Introduction
	10.2 Basic Model
		10.2.1 Sequence-to-Sequence Model
		10.2.2 Attention Mechanism
		10.2.3 Transformer
	10.3 Experiment
		10.3.1 Data Sets and Evaluation Performance
		10.3.2 Experimental Results and Analysis
	10.4 Conclusions
	References
11 Sliding Mode Control of AGV Based on Extended State Observer
	11.1 Introduction
	11.2 Control System Design
		11.2.1 System Transformation
		11.2.2 ADRC Design
		11.2.3 SMC-ESO Design
	11.3 Simulation Analysis
	11.4 Conclusion
	References
12 Stock Price Prediction Based on Machine Learning Algorithms
	12.1 Introduction
	12.2 Related Work
	12.3 Algorithms
		12.3.1 Multiple Linear Regression
		12.3.2 Automatic ARIMA Model
		12.3.3 Prophet
		12.3.4 LSTM Model
	12.4 Prediction Result
		12.4.1 Data Processing
		12.4.2 Multiple Linear Regression Result
		12.4.3 Automatic ARIMA Model Result
		12.4.4 Prophet Result
		12.4.5 LSTM Model Result
	12.5 Conclusion
	References
Part II Big Data Research and Multi-discipline Services
13 Research on Precision Marketing of Big Data in Small- and Medium-Sized E-commerce Enterprises
	13.1 Theoretical Research on Precision Marketing
	13.2 Analysis on the Advantages of E-commerce Precision Marketing Under the Three Big Data Environment
		13.2.1 Improvement of Advertising Accuracy
		13.2.2 Improve E-commerce Service Level
		13.2.3 Accurate Marketing Model to Effectively Improve the Transferring Value
	13.3 Collection and Analysis of Big Data of Small- and Medium-Sized E-commerce Enterprises
		13.3.1 Collection of Business-Related Data and Information
		13.3.2 Analysis of Business Data Information
	13.4 Implementation Mode of Precision Marketing Based on Big Data for Small- and Medium-Sized E-commerce Enterprises Based on Big Data
	13.5 Conclusion
	Bibliography
14 Big Data Platform for Oil and Gas Production Based on Apache Spark
	14.1 Background Information
	14.2 Main Technical Analysis of Big Data
	14.3 Overview of the Platform
		14.3.1 Platform Architecture
		14.3.2 Main Functions of the Platform
		14.3.3 Platform Technology Implementation and Platform Deployment
	14.4 Experiment
	14.5 Conclusion
	References
15 Single-Well Yield Prediction Based on LSTM and MA Combination Model
	15.1 Background Information
	15.2 Theoretical Basis of Related Algorithm
		15.2.1 LSTM Circulatory Neural Networks
		15.2.2 Moving Average Model
		15.2.3 Model Combinations
	15.3 Model Description and Experiment
		15.3.1 Data Processing and Feature Selection
		15.3.2 LSTM Model Training
		15.3.3 LSTM and MA Model Combinations Forecast Yield Values
		15.3.4 MA Model Forecast Yield
	15.4 Analysis of Experimental Results
		15.4.1 BP Neural Network Prediction Results
		15.4.2 LSTM-Independent Forecast Results
		15.4.3 LSTM and MA Combination Projections
	15.5 Conclusion
	References
16 Comparative Study of Think Tank on Domestic and Overseas Based on WOS and CSSCI
	16.1 Introduction
	16.2 Data Sources and Research Methods
	16.3 Knowledge Mapping of Think Tank Research at Home and Abroad
		16.3.1 Focus Shift of Think Tank Research Based on Double-Picture Superposition Analysis
		16.3.2 Think Tank Research Cooperation Network Based on Google Earth
		16.3.3 Cluster Atlas of Think Tank Research Based on Co-word Analysis
	16.4 Comparative Analysis of Research on Think Tanks at Home and Abroad
		16.4.1 Hot Topic
		16.4.2 Methodology
		16.4.3 The Development Trend
	16.5 Conclusion
	References
17 Research on Big Data Analysis and Evaluation Method of In Use Vehicle Technology
	17.1 Introduction
	17.2 Collecting Maintenance Data
	17.3 Establish the Evaluation Index System of Automobile Technical Conditions
		17.3.1 Car Usage
		17.3.2 Vehicle Performance
		17.3.3 Technical Status of Automobile System Device
	17.4 Weight Calculation of Evaluation Index System of Automobile Technical Condition
	17.5 Evaluation of Automobile Technical Status
	17.6 Conclusion
	References
18 Forecast of Hydroelectricity Generation in Guangxi Based on ARIMA Model
	18.1 Introduction
	18.2 Data and Methods
		18.2.1 Data
		18.2.2 Analytical Method
	18.3 Results of Data Analysis
		18.3.1 Data Preprocessing
		18.3.2 Model Identification
		18.3.3 Model Comparison Test
		18.3.4 Prediction
	18.4 Conclusion
	References
19 Sockpuppet Detection in Social Network Based on Adaptive Multi-source Features
	19.1 Introduction
	19.2 Related Work
	19.3 Proposed Method
		19.3.1 Verbal Features
		19.3.2 Non-verbal Features
		19.3.3 Adaptive Multi-source Feature Fusion
		19.3.4 Sockpuppet Detection Model
	19.4 Experiment and Result
		19.4.1 Data Collection and Analysis
		19.4.2 Performance Evaluation and Comparison
	19.5 Conclusion
	References
20 The Ethical Issues of Location-Based Services on Big Data and IoT
	20.1 Introduction
	20.2 Big Data and IoT
		20.2.1 Big Data
		20.2.2 IoT
	20.3 LBS and LBS Applications
		20.3.1 The Principle of LBS
		20.3.2 The Application of LBS
	20.4 Ethics Issues
		20.4.1 Ethics Issues
		20.4.2 Potential Privacy Disclosure Issues
	20.5 Recommendation and Discussion
		20.5.1 Existing Protection Method and the Weakness
		20.5.2 Recommendation
	20.6 Conclusion
	References
21 A Grammar-Aware Pointer Network for Abstractive Summarization
	21.1 Introduction
	21.2 Baseline Model
	21.3 Grammar-Aware Pointer Network
		21.3.1 Grammar Embedding
		21.3.2 Multi-task Learning
	21.4 Experiments
		21.4.1 Experiment Setting
		21.4.2 Experiment Result
		21.4.3 Experiment Analysis
	21.5 Conclusion
	References
22 Single-Phase Photovoltaic Inverter Control Based on Quasi-Prand Big Data Analysis
	22.1 Introduction
	22.2 Single-Phase Inverter Model Structure and Control Strategy
	22.3 Inverter Double Closed-Loop Control Strategy
	22.4 Optimal Solution of PR Controller and Quasi-PR Controller Parameters
	22.5 Simulation Model and Results
	22.6 Conclusion
	References
23 New Thoughts on the Course Teaching of Computer Specialty Under the Background of Big Data
	23.1 Thinking on the Problems Existing in the Teaching Mode of Computer Major Courses
	23.2 Thoughts on Teaching Methods of Computer Major Courses Under the Impact of Big Data
		23.2.1 Change Teaching Ideas
		23.2.2 Transform Students’ Learning Methods and Guide Students to Learn Independently
		23.2.3 Strengthening the Construction of Resource Platforms
	23.3 Concluding Remarks
	References
24 Design and Research on Automatic Launch and Retrieval Righting Mechanism of Traffic Road Cone
	24.1 Basic Theory
	24.2 Structural Design of Righting Mechanism
		24.2.1 Traffic Road Cone
		24.2.2 Structural Design of Righting Mechanism
	24.3 System Control Design of Righting Mechanism
		24.3.1 Design Parameters and Selection of Righting Mechanism Components
		24.3.2 Linear Motor Selection Simulation Calculation Check
	24.4 Conclusion
	References
25 The Performance Study of Database Full-Text Retrieval
	25.1 Introductions
	25.2 Design of the Experiment
	25.3 Realization of the Experiment
		25.3.1 Database Table Design
		25.3.2 Experiment Code
	25.4 Experimental Analysis
		25.4.1 Experimental Environment
		25.4.2 Experimental Data and Analysis
	25.5 Summaries
	References
26 The Importance of Data Mining Technology to University Research in the Big Data Environment
	26.1 Technical Brief
		26.1.1 Big Data Technology
		26.1.2 Data Mining
		26.1.3 Information Management
	26.2 Design of University Scientific Research Management System
		26.2.1 Data Standardization
		26.2.2 Main Functions of the System
		26.2.3 Key Technologies
	26.3 Conclusion
	References
27 The Importance of Big Data in the Automotive Industry
	27.1 Introduction
	27.2 New Energy Vehicle Big Data Analysis Technology
	27.3 The Specific Operation of New Energy Vehicle Big Data Technology
		27.3.1 Big Data Information Collection
		27.3.2 Big Data Processing and Storage
		27.3.3 Big Data Statistics and Visualization
		27.3.4 Big Data Information Mining
		27.3.5 Enhanced Data Access
		27.3.6 Construction of Information Security System
	27.4 Conclusion
	References
Part III Supply Chain Fundamentals
28 Competitive Decision Policies in Supply Chains Considering Investment of Low-Carbon Technology
	28.1 Introduction
	28.2 Problem Description
	28.3 Model Establishment and Analysis
		28.3.1 Benchmark (NN)
		28.3.2 Under One Supplier’s Investment (I)
	28.4 Conclusion
	References
29 The Investigation of Housing Price in Yangtze-River Delta Region
	29.1 Introduction
		29.1.1 Aims and Research
	29.2 Literature Review
	29.3 Data and Method
	References
30 Analysis of Laos’ Macroeconomic Development
	30.1 Introduction
	30.2 Economic Growth
	30.3 Unemployment Rate
	30.4 Price Level
	30.5 Import and Export Trade
	30.6 Foreign Direct Investment
	30.7 Balance of Payments
	30.8 Conclusion
	Reference
31 Design of Evaluation System for Competitive Cooperation Capabilities of Cross-Border E-commerce Comprehensive Pilot Area
	31.1 Introduction
	31.2 Construction of Evaluation Index System for Cross-Border E-commerce Comprehensive Pilot Area
	31.3 Design of Re-engineering and Index Weight System Based on AHP
		31.3.1 Scoring Data Sources and Preprocessing
		31.3.2 Establishment of Two-Two Judgment Matrix
		31.3.3 Establishment of the Weighting System for the Evaluation Index of Competition and Cooperation Ability in Cross-Border E-commerce Comprehensive Pilot Area
	31.4 Significance
	31.5 Reflection
	References
32 How to Market New Energy Vehicles
	32.1 Introduction
	32.2 Marketing Situation of New Energy Vehicles
	32.3 Analysis of New Energy Vehicle Sales Methods
	32.4 Conclusion
	References
Part IV Advanced Supply Chain and IIOT-BD Integration
33 A Two-Sided Matching Method Based on Multi-stage Dynamic Reference Points
	33.1 Introduction
	33.2 Preliminary Work
		33.2.1 Prospect Theory
		33.2.2 Problem Formulation
	33.3 Proposed Method
		33.3.1 The Dynamic Reference Point
		33.3.2 Prospect Values Acquisition
		33.3.3 Satisfaction Calculation
		33.3.4 Construction of the Two-Sided Matching Optimization Model
	33.4 Illustrative Examples
		33.4.1 Simulation Numerical Example
	33.5 Conclusions
	References
34 A Food Safety Traceability System Based on Blockchain
	34.1 Background and Significance
		34.1.1 Background
		34.1.2 Research Significance
	34.2 Principle of Food Safety Traceability System Based on Blockchain
		34.2.1 Food Safety Traceability
		34.2.2 Introduction to Blockchain Technology
		34.2.3 Hyperledger Fabric
	34.3 Food Traceability System Design
		34.3.1 Hierarchical Structure of Food Safety Traceability System
		34.3.2 Implementation of Food Safety Traceability System
	34.4 Conclusion
	References
35 Application of Blockchain Technology in Management Accounting: Based on the Perspective of Frontier Literature Review
	35.1 Introduction
	35.2 Entry Point of Blockchain Core Technology in Management Accounting Application
		35.2.1 Distributed Ledger
		35.2.2 Asymmetric Encryption
		35.2.3 Consensus Mechanism
		35.2.4 Intelligent Contract
		35.2.5 Improve Contract Performance Efficiency and Save Execution Costs
	35.3 The Application Conception of Blockchain Infrastructure in Management Accounting
	35.4 Conclusion
	References
36 Blockchain Certificate Deposit, Electronic Signing, Strengthening Notarization—A New Model of Dealing with Creditor’s Rights Disputes
	36.1 Introduction
		36.1.1 Demand and Supply
		36.1.2 Shortboard of Relief
	36.2 The Chain Structure of Strengthening Notarization
		36.2.1 Financial Online Electronic Certificate
		36.2.2 Notarized Hash Value Differential Storage
	36.3 Court Batch Data Docking
	36.4 Data Knowledge Map of Blockchain
	References
37 New Operators Based on Pythagorean Fuzzy Information and Their Application in Reliability Estimation of Military Sealift Transportation
	37.1 Introduction
	37.2 Preliminaries
		37.2.1 Pythagorean Fuzzy Set
		37.2.2 Operation Laws
	37.3 New Pythagorean Operators
		37.3.1 New Operational Rules on Pythagorean Fuzzy Environment
		37.3.2 New Pythagorean Fuzzy Weighted Averaging Operators
	37.4 The Application in Reliability Estimation of Military Sealift Transportation
	37.5 Concluding
	References
Part V Emerging Areas: Education and Emerging Applications
38 Prospects for the Online Education Promoting the Reform of Traditional Higher Education Under the COVID-19 Situation
	38.1 The Origin and Development of Online Education
	38.2 The New Crown Disease Disaster Has Shaken the Normal State of Education
		38.2.1 Traditional Forms of Higher Education
		38.2.2 Under the Epidemic Situation, Online Education Impacts the Traditional Form of Higher Education
	38.3 Online Education Promotes the Rapid Transformation of Traditional Higher Education
		38.3.1 Change in the Way Knowledge is Acquired
		38.3.2 Constructing Learner-Centered Teaching Behavior Based on Technology
		38.3.3 Leading to the Formation of Online Education Ecological Chain
	38.4 Prospect of Higher Education Reform in China After New Crown Disease
		38.4.1 Change in Educational Philosophy
		38.4.2 Subject and Specialty Optimization
		38.4.3 Follow up the Development of Educational Technology and Speed up the Reform of Teaching
		38.4.4 Accelerating the Formation of “New Ecology” of Web-Based Interactive Teaching
	References
39 A Multi-view Learning Method Based on Feature Correlation
	39.1 Introduction
	39.2 Proposed Methods
		39.2.1 View Evaluation Method
		39.2.2 Data View Construction Algorithm (DVC)
	39.3 Experiments
		39.3.1 Experimental Data Sets
		39.3.2 Experimental Setting and Comparison Algorithms
		39.3.3 Results and Discussion
	39.4 Summary
	References
40 Smart Stove Automation Using Wireless Network and Mobile Application
	40.1 Introduction
	40.2 Materials and Methods
		40.2.1 Electronic Components
		40.2.2 Arduino UNO
		40.2.3 Servo Motor MG-966R
		40.2.4 MQ-5 Gas Sensor
		40.2.5 LM35 Temperature Sensor
		40.2.6 Gas Stove
		40.2.7 LCD 16 times 2
		40.2.8 Keypad
		40.2.9 ESP8266 Wi-Fi Module
	40.3 Designing Methodology
		40.3.1 Circuit Design of Electronic Components
		40.3.2 Working Phenomena
		40.3.3 Results and Discussions
		40.3.4 Case Studies
		40.3.5 Comparison of Existing Systems with Proposed System
	40.4 Conclusions and Future Work
	References
41 Research on Intelligent Predictive Control of Roasting Furnace Temperature
	41.1 Introduction
	41.2 Intelligent Prediction Model
		41.2.1 The T-SFRBFNN Predictive Control Modeling
		41.2.2 The Design of the T-S RBF FNN Controller
	41.3 The Simulation Research on the Temperature Control System of the Baking Furnace [23–25]
		41.3.1 Simulation Analysis [26–29]
	41.4 Conclusion
	References
42 Investigating the Clarity Dimension of Social Norms: How Normative Ambiguity on Digital Piracy Intentions
	42.1 Introduction
	42.2 Theoretical Background
		42.2.1 The Strength of Social Norms: Subjective Norms Descriptive and Injunctive Norms
	42.3 The Clarity of Social Norms
		42.3.1 Normative Ambiguity
	42.4 Results
		42.4.1 Construct Reliability and Model Fit
		42.4.2 Discriminant Validity
		42.4.3 Path Coefficients and Test of Hypotheses
	References
43 Research on the Status Quo of Cultivating Innovative Talents of Enterprises in Hubei Province
	43.1 Introduction
	43.2 Subject and Methods
		43.2.1 Respondents
		43.2.2 Research Methods
		43.2.3 Statistical Analysis Methods
	43.3 Data Analysis
		43.3.1 Overall Situation of the Samples
		43.3.2 Satisfaction Degree of Staff Training
		43.3.3 Importance of Enterprise Training
		43.3.4 Training Methods
		43.3.5 Incentive Measures for Innovative Talent Cultivation
		43.3.6 Innovation Atmosphere
	43.4 Problems in Enterprise Training
	43.5 Countermeasures and Suggestions
		43.5.1 Strengthening Training Needs Analysis and Reasonably Allocating Training Resources
		43.5.2 Enriching the Training Content
		43.5.3 Combine Multiple Training Methods with Training Forms
	References
44 Collaborative Cultivation of Innovative Talents Between Enterprises and Colleges in Hubei Province
	44.1 Introduction
	44.2 Research Methods
		44.2.1 Respondents
		44.2.2 Research Methods
	44.3 Data Analysis
		44.3.1 The Main Ways of College–Enterprise Collaborative Training
		44.3.2 Innovation Atmosphere and Training Input
		44.3.3 Innovative Atmosphere and Factors Affecting Collaborative Education
		44.3.4 Nature of Enterprise and the Type of College–Enterprise Collaboration
		44.3.5 Nature of the Enterprise and Factors Affecting the Collaborative Education of Colleges and Enterprises
	44.4 Problems
		44.4.1 Conceptual Barriers
		44.4.2 Institutional Barriers
		44.4.3 Cultural Barriers
	44.5 Suggestions
	References
45 Risk Analysis on Quality and Safety of Plastic Assembled Cabinets Based on Statistics of Injuries Inflicted by Hazardous Sources
	45.1 Introduction
	45.2 Hazardous Sources of Product Safety and Analysis on Injury Mechanism
		45.2.1 Risk of Structural Safety
		45.2.2 Accessories of Snap-Fit Joints
		45.2.3 Chemical Hazards
	45.3 Data Analysis on the Use Cases by Consumers
	45.4 Suggestions
	References
46 Research on Safety Psychology Evaluation Index of Construction Workers Based on Statistical Analysis and Entropy Weight Method
	46.1 Introduction
	46.2 Theoretical Analysis of Construction Workers’ Safety Psychology
	46.3 Research Design and Research Methods
		46.3.1 Evaluation Scale Design
		46.3.2 Reliability and Validity Test of the Evaluation Scale
		46.3.3 Factor Analysis Process
	46.4 Fuzzy Evaluation Process of Construction Workers’ Safety Psychology
		46.4.1 Set of Factors
		46.4.2 Determination of Indicator Weight
		46.4.3 Confirm the Comment Set
		46.4.4 Indicator Evaluation Process
		46.4.5 Application Instance Calculation
	46.5 Conclusion
	References
Author Index