
Proceedings of the Thirteenth International Conference on Management Science and Engineering Management
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This book gathers the proceedings of the 13th International Conference on Management Science and Engineering Management (ICMSEM 2019), which was held at Brock University, Ontario, Canada on August 5-8, 2019. Exploring the latest ideas and pioneering research achievements in management science and engineering management, the respective contributions highlight both theoretical and practical studies on management science and computing methodologies, and present advanced management concepts and computing technologies for decision-making problems involving large, uncertain and unstructured data. Accordingly, the proceedings offer researchers and practitioners in related fields an essential update, as well as a source of new research directions.
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Content
- Intro
- Preface
- Organization
- Executive Committee
- General Chairs
- Program Committee Chairs
- Organizing Committee Chairs
- Program Committee
- Secretary-General
- Under-Secretary
- General
- Secretaries
- Contents
- Advancement of Data Analysis and Mining, Decision Support System, and Computing Science Based on the Thirteenth ICMSEM Proceedings
- 1 Introduction
- 2 Literature Review
- 2.1 Data Analysis and Mining
- 2.2 Decision Support System
- 2.3 Computing Science
- 3 Central Issues in Proceedings Volume I
- 4 MS and ICMSEM Development Trends
- 4.1 CiteSpace Analysis
- 4.2 ICMSEM Evaluation Trends
- 5 Conclusion
- References
- BPartTitle
- Threats in the Internet of Things Pertaining to Digital Data
- 1 Introduction
- 1.1 Problem Statement
- 1.2 Methodology
- 2 Literature Review
- 2.1 Digital Forensics Models
- 3 Research Analysis
- 3.1 Digital Forensic Evidence Eligibility in Pakistan Courts
- 3.2 Digital Forensic Department in Pakistan
- 3.3 Existing Challenges in IoT Application in Digital Forensics
- 3.4 Recent Advancements in Digital Forensic Techniques
- 3.5 Lack of Digital Forensic Education in Pakistan
- 4 Conclusion
- 4.1 Future Research and Recommendation
- References
- Influence Factors on Investment Efficiency of the Agriculture PPP Project based on DEA-Tobit Method
- 1 Introduction
- 2 Model Constructions
- 2.1 Introduction to the Traditional DEA Method
- 2.2 The Construction of DEA-Tobit Method
- 3 The Application of DEA-Tobit Method
- 3.1 Construction of Input-output Indicator System
- 3.2 Calculating the Investment Efficiency of PPP Projects
- 3.3 Select the External Environmental Factors Xi
- 3.4 Tobit Regression Model Calculation Results
- 4 Conclusion and Policy Recommendations
- References
- A Comparative Analysis on Chinese and Foreign Smart City Studies-from a Bibliometric Perspective
- 1 Data Sources and Methods
- 2 Basic Information Statistics
- 2.1 Number of Published Articles
- 2.2 Regional Cooperation
- 3 Chinese and Foreign Research Institutions and Author Co-occurrence
- 3.1 Co-occurrence of Research Institutions
- 3.2 Author Co-occurrence
- 4 Literature Co-citation
- 4.1 Frequently Cited Foreign Literature
- 4.2 Frequently Cited Chinese Literature
- 5 Research Subject
- 5.1 Development of Foreign Research Subjects Around Smart Cities
- 5.2 Development of Chinese Smart City Research Subjects
- 6 Conclusion and Outlook
- References
- Hotspot and Trend Visualization Analysis of Enterprise Dynamic Capability Research
- 1 Introduction
- 1.1 Data and Sample
- 1.2 Research Tool and Method
- 2 Result and Analysis
- 2.1 Summary of High Output Countries, Institutions and Authors
- 2.2 Analysis of Hotspot, Cutting-Edge and Trend of Research
- 3 Conclusion
- References
- Measuring the Weather Variability Effects on the Agricultural Sector in Morocco
- 1 Introduction
- 2 A Review on Relationship between Weather Variability and Agriculture
- 3 Diebold and Yilmaz Methodology
- 4 Data and Descriptive Statistics
- 5 Empirical Analysis
- 5.1 Total Variability Effect Index
- 5.2 Dynamic Variability Effect Index
- 6 Discussions and Some Related Research Issues
- 6.1 Agricultural Greenhouse Gas Emissions in Morocco
- 6.2 Adaptation and GHG Mitigation Options in the Agriculture Sector
- 7 Conclusion
- References
- On the Simultaneous Estimation of Weibull Reliability Functions
- 1 Introduction
- 2 Improved Estimation of the Reliability Vector
- 3 Asymptotic Theory and Evaluation Criterion
- 4 Asymptotic Results
- 5 Asymptotic Risk Analysis
- 5.1 Comparison of UE, RE, and LS
- 5.2 Comparison of UE, PT, and SP
- 5.3 Comparison of UE, JS, and S+
- 5.4 Comparison of RE, PT, SP, and JS
- 6 Simulation Studies
- 6.1 Case-I: *=0
- 6.2 Case-II: *0
- 7 Real-Data Example (Breaking Strengths of Carbon Fibers)
- 8 Conclusions
- References
- Nonparametric Regression Estimates Based on Imputation Techniques for Right-Censored Data
- 1 Introduction
- 2 Material and Methods
- 2.1 kNN Imputation Method
- 2.2 PM Imputation Method
- 3 Penalized Splines (PS)
- 4 Evaluation Criteria
- 5 Simulation Study
- 6 Real Dataset
- 7 Conclusion
- References
- Weak Signals in High-Dimensional Logistic Regression Models
- 1 Introduction
- 2 Statistical Model
- 3 Methodology
- 3.1 Dimensional Reduction Stage
- 3.2 Post-selection Parameter Estimation Stage
- 4 Monte Carlo Simulations
- 4.1 Simulation Design
- 4.2 Results
- 5 Application to Gene-sequencing data
- 6 Conclusions
- References
- Prediction of Rumors Wide-Spreading on Social Media by Logistic Regression Modeling: Taking Water Resource Pollution Rumors Spreading as an Example
- 1 Introduction
- 2 Factors That Affect Rumors Spreading
- 3 Fitting Logistic Regression Model
- 3.1 Data Collection
- 3.2 Fitting Model
- 4 Assessment of the Fitted Model
- 5 Prediction Power
- 6 Discussion and Managerial Recommendations
- 7 Conclusion
- References
- Shrinkage and Sparse Estimation for High-Dimensional Linear Models
- 1 Introduction
- 2 Methods
- 2.1 Strong and Weak Signals
- 2.2 Variable Selection
- 2.3 Post-selection Shrinkage Estimation
- 3 Simulation Study
- 4 Real Data Example
- 5 Conclusion
- References
- On Some Goodness-of-Fit Tests and Their Connection to Graphical Methods with Uncensored and Censored Data
- 1 Introduction
- 2 Methodology
- 2.1 Hypotheses
- 2.2 GOF Test Statistics with Uncensored Data
- 2.3 GOF Test Statistics with Censored Data
- 2.4 GOF Tests for any Distribution with Uncensored Data
- 2.5 GOF Tests for any Distribution with Censored Data
- 2.6 PP and SP Plots
- 2.7 Acceptance Regions for Probability Plots
- 3 Applications
- 3.1 Example 1: Uncensored Sea Data
- 3.2 Example 2: Uncensored Forestry Data
- 3.3 Example 3: Uncensored Survival Data
- 3.4 Example 4: Uncensored Survival Data with Outliers
- 3.5 Example 5: Comparison of Two Treatments
- 3.6 Example 6: Censored Fatigue Data
- 3.7 Example 7: Times to Failure in an Accelerated Life Test
- 4 Conclusions and Future Research
- References
- Measuring the Operation Performance of Unattended Convenience Store Using a Two-stage SBM Method
- 1 Introduction
- 2 Problem Statement
- 3 Methodology
- 3.1 Stage 1-Economic Efficiency
- 3.2 Stage 2-Social Efficiency
- 3.3 Overall Efficiency
- 4 Empirical Study
- 4.1 Empirical Background
- 4.2 Inputs and Outputs
- 4.3 Data Source and Descriptive Statistics
- 4.4 Evaluation Results
- 5 Conclusion
- References
- Efficiently Combining Data from Various Sources
- 1 Introduction
- 2 Stein Rule-type Estimators and Risk function
- 2.1 Statistical Model and Stein Rule-type Estimators
- 2.2 Risk Function
- 3 Main Results
- 4 Numerical Results
- 4.1 Simulation Study
- 4.2 Data Analysis
- 5 Conclusion
- A Appendix*
- References
- Neural Network Synchronization with Uncertain Coupling Delay Function
- 1 Introduction
- 2 Theorems and Assumptions
- 3 Numerical Simulation
- 4 Conclusion
- References
- An Approach for Processing the Real-time Monitoring Data of Water Quality and Its Application in Water Quality Evaluating
- 1 Introduction
- 2 Preliminaries on FRV
- 3 FRV-based Approach for Processing the Monitored Data of Water Quality
- 3.1 Motivation for Employing FRV
- 3.2 Characteristic Analysis of Water Quality Monitored Data
- 3.3 FRV-based Approach
- 4 Case Study of Water Quality Assessment in Chaohu Lake
- 4.1 Overview of Study Area
- 4.2 Data Acquisition and Processing
- 4.3 Results and Discussion
- 5 Conclusions
- References
- A Scientometric Review of Emerging Trends in Green Manufacturing
- 1 Introduction
- 2 Visualizing the Knowledge Domain with CiteSpace
- 3 Research Findings and Analysis
- 3.1 Literature Analysis System
- 3.2 Reference Analysis
- 3.3 Classification of Research Types
- 4 Developing Trends of Green Manufacturing
- 4.1 Green Manufacturing Will Become More and More Global
- 4.2 Intelligent Manufacturing Technology Will Play an Important Role
- 4.3 Pay More Attention To the Research of Integrated Technology
- 4.4 Form a Social Support System for Green Manufacturing
- 4.5 Personalization Will Become an Effective Model for Green Product Development
- 5 Conclusions
- References
- Analysis and Prediction of Unmanned Driving Control Network Based on Vehicle Flow and Speed
- 1 Introduction
- 2 Model Set Up
- 2.1 Vehicle Flow Probability Distribution Model
- 3 Vehicle Speed Probability Distribution Model
- 4 Joint Probability Distribution Model of Traffic Flow and Speed
- 5 Solution
- References
- Stack Allowance Trading Mechanism Based Optimization Strategy for Phosphogypsum Reduction in Phosphate Fertilizer Plants
- 1 Introduction
- 2 Key Problem
- 3 Modeling
- 3.1 Assumptions and Notations
- 3.2 Purchase-Transportation Optimization Model
- 4 Application
- 4.1 Backgrounds and Data Collection
- 4.2 Computation Results
- 5 Conclusions
- References
- A Choquet Integral-Based GLDS Method for Green Supplier Selection with Hesitant Fuzzy Information
- 1 Introduction
- 2 Fuzzy Measure and Hesitant Fuzzy Set
- 2.1 Fuzzy Measure
- 2.2 Hesitant Fuzzy Set
- 3 A Novel Distance Measure Between Hesitant Fuzzy Sets
- 4 A Choquet Integral-Based GLDS Method for MCDM Problems
- 5 An Illustrative Example
- 6 Conclusions
- References
- Forecast Scrap Generation and Emission Reduction of China's Steel Industry
- 1 Introduction
- 2 Methodology and Data Sources
- 2.1 Estimation of the Amount of Waste Generated
- 2.2 Data Source and Processing
- 3 Results and Analysis
- 3.1 Steel Consumption and Scrap Production Between 1949 and 2017
- 3.2 Steel Scrap Production from 2018 to 2025
- 3.3 Analysis of Emission Reduction Potential of Short-Process Steelmaking in Electric Furnace
- 4 Conclusions and Recommendations
- References
- BPartTitle
- Classification-Oriented Fuzzy-Rough Feature Selection for the EEG-Based Brain-Computer Interfaces
- 1 Introduction
- 2 Feature Extraction
- 2.1 Raw Signal Dataset
- 2.2 Time-Domain Features
- 2.3 Frequency-Domain Features
- 2.4 Time-Frequency Analysis
- 3 Fuzzy-Rough Feature Selection
- 4 Classifiers
- 4.1 SVM Classifier
- 4.2 LDA Classifier
- 4.3 Decision Tree Classifier
- 5 Experimental Analysis
- 5.1 Dataset Description
- 5.2 Comparison with the Use of Full Set of Original Time-Domain Features
- 5.3 Comparison of FRFS with IGR
- 5.4 Comparison with the Use of Randomly Selected Features
- 6 Conclusion and Future Work
- References
- Research on Dynamic Development Mechanism of Collaborative Consumption System Based on Evolutionary Game Theory
- 1 Introduction
- 2 Literature Review
- 3 Evolutionary Game Model of Collaborative Consumption
- 3.1 Modeling
- 3.2 Basic Hypothesis
- 3.3 Payoff Matrix
- 4 Equilibrium Analysis of Evolutionary Model
- 4.1 Replicating Dynamic Equation
- 4.2 The Evolutionary Stable Strategy (ESS) of the System
- 4.3 Trend Analysis of the Evolution
- 5 Empirical Study Using the Car-Hailing Service as an Example
- 5.1 Data Collection
- 5.2 Analysis on the Trend of Enterprise Evolution
- 6 Countermeasures and Enlightenment
- 6.1 Lower the Saddle Point Coordinates to Promote Evolution of the System
- 6.2 Raise the Initial Stage and Break the Saddle Point to Form Positive Feedback
- 7 Discussion
- References
- Experimental Study on Scanning of Degraded Braille Books for Recognition of Dots by Machine Learning
- 1 Introduction
- 2 Degraded Braille
- 3 Experiments
- 3.1 Scanners Used for Experiment
- 3.2 Dot Detection
- 3.3 Three Different Braille Papers
- 3.4 Scanning Adjustment
- 4 Result and Discussion
- 4.1 Three Different Braille Papers
- 4.2 Scanning Mode of GT-S
- 4.3 Luminance Intensity in OpticBook
- 5 Concluding Remarks
- 5.1 Choice of Scanner
- ScanSnap
- 5.2 Choice of Scanner
- GT-S and OpticBook
- 6 Summary
- References
- Braille Translation System Using Neural Machine Translation Technology I - Code Conversion
- 1 Introduction
- 2 Japanese Sentences and Braille
- 2.1 Japanese Letters
- 2.2 Characteristics of Japanese Braille and Braille Sentences
- 3 Neural Machine Translation
- 4 System
- 4.1 Hardware Configuration
- 4.2 System Development Environment
- 4.3 System Construction Procedure
- 4.4 Braille Translation System
- 4.5 Training Data Set
- 5 Results and Discussion
- 6 Concluding Remarks
- References
- Comparison of University Graduates' Employment Cities Based on AHP
- 1 Introduction
- 2 Establish an AHP-Based Model on the Evaluation of Graduate Employment Cities
- 3 Consistency Measurement of Judgment Matrix and Weight Coefficients
- 3.1 Establish Judgment Matrix and Measure Consistency
- 4 Conclusion
- References
- Business Model, Lean and Green Management and Industry 4.0: A Conceptual Relationship
- 1 Introduction
- 2 Literature Review
- 2.1 Objective and Methodology
- 2.2 Business Model
- 2.3 Lean and Green Business Management
- 2.4 Industry 4.0
- 3 Conceptual Relations between Concepts
- 4 Conclusions
- References
- Location Model of Distribution Centers in Poverty-Stricken Areas Based on Multi-level Fuzzy Programming
- 1 Introduction
- 2 Literature Review
- 3 Model Setup
- 3.1 Distribution Center Suitability Evaluation Index System
- 3.2 Basic Assumptions of the Model
- 3.3 Model Parameter
- 3.4 Upper-Level Model
- 3.5 Middle-Level Model
- 3.6 Lower-Level Model
- 4 Model Solution
- 5 Case Study
- 6 Conclusion
- References
- Misspecified Restriction in Partial Linear Models
- 1 Introduction
- 2 Restricted PLM with Semiparametric Restrictions
- 3 Restricted Ridge Estimator in PLM
- 4 Application
- 5 Simulation Study
- 6 Conclusions
- References
- Assessing Robustness of Regularized Regression Models with Applications
- 1 Introduction
- 2 Methodology
- 2.1 Linear Regression
- 2.2 Ridge Regression
- 2.3 Lasso Regression
- 2.4 Selecting the Value for Ridge and Lasso: Cross-Validation
- 3 Results and Discussion
- 3.1 Data
- 3.2 Linear Regression Model
- 3.3 Ridge Regression Model
- 3.4 Lasso Regression Model
- 3.5 Comparing Results
- 4 Conclusion
- References
- Bayesian Predictive Densities as an Interpretation of a Class of Skew-Student t Distributions with Application to Medical Data
- 1 Introduction
- 2 Problem Set-Up
- 3 Predictive Densities and Their Representations
- 3.1 Risk Performance
- 4 Examples
- 5 Concluding Remarks
- References
- LAD, LASSO and Related Strategies in Regression Models
- 1 Introduction
- 2 Shrinkage LAD and Penalty Estimators
- 3 Asymptotic Properties of Shrinkage LAD Estimators
- 3.1 Bias of Estimators
- 3.2 Risk of Estimators
- 4 Simulation Study
- 5 Real Data
- 5.1 Barro Data
- 5.2 Los Angeles Pollution (LAP) Data
- 6 Conclusion
- References
- An Optimal Selective Maintenance Model for Multi-state Deteriorating Systems Considering Imperfect Maintenance
- 1 Introduction
- 2 Problem Statement
- 3 Modelling
- 3.1 Notation
- 3.2 Selective Maintenance Model
- 4 Numerical Example
- 4.1 Data Preparation
- 4.2 Numerical Results
- 4.3 Comparative Analysis
- 5 Conclusions
- References
- Direct and Surrogate Likelihood-Free Statistical Inference for Epidemiological Models in a Network of Contacts
- 1 Introduction
- 2 Background
- 2.1 Compartmental Model
- 2.2 Network Generation
- 2.3 Approximated Bayesian Computation (ABC)
- 3 Approximated Bayesian Computation (ABC) with Surrogate Model
- 4 Computational Experiments
- 5 Discussion
- References
- Partial Least Squares Models and Their Formulations, Diagnostics and Applications to Spectroscopy
- 1 Introduction
- 2 A Normal-PLS Models
- 2.1 Formulation
- 2.2 Diagnostics
- 2.3 Application
- 3 A Beta-PLS Model
- 3.1 Formulation
- 3.2 Diagnostics
- 3.3 Application
- 4 A Birnbaum-Saunders PLS Model
- 4.1 Formulation
- 4.2 Diagnostics
- 4.3 Application
- 5 Conclusions
- References
- Modelling Short Term Interest Rate Volatility with Time Series Model A Case of Pakistani Financial Markets
- 1 Introduction
- 2 Literature Review
- 3 Research Methodology
- 3.1 Data
- 3.2 Methodology
- 3.3 Model Specification
- 4 Results and Analysis
- 4.1 Econometric Estimation and Empirical Results
- 5 Conclusion
- 6 Future Direction
- References
- Mathematical Models of Lift Systems and Their Simulation
- 1 Introduction
- 2 General Approach to Description Stochastic Models of Lifts Systems
- 3 Case of Rare Stationer Input Flow, No Control
- 4 Case of a Rare Stationer Input Flow, Control C1
- 5 Unloading Regime, No Control.
- 6 Unloading Regime, Control Cn/2.
- 7 One-Lift Controlled Systems in Office Buildings (Loading Regime).
- 8 Simulation. One-Lift Systems in Office Buildings (Loading Regime)
- 9 Example of Application the Simulating Programs in Search Suitable Roominess of Lift Cabin in an Office Building
- 10 Conclusion
- References
- Efficient Estimation Strategies for Spatial Moving Average Model
- 1 Introduction
- 2 Model Specification and Estimators
- 3 Efficient Estimation Strategies
- 3.1 Pretest and Shrinkage Estimators
- 4 Asymptotic Results
- 4.1 Joint Normality of 1 and R1
- 4.2 Asymptotic Quadratic Risk
- 5 Penalty Estimators
- 6 Numerical Studies
- 6.1 Comparison of the Pretest and Shrinkage Estimators
- 6.2 Comparison of Non-penalty and Penalty Estimators
- 6.3 Application to Baltimore House Sale Prices Data
- 7 Conclusion
- References
- A Two-Stage Fuzzy Comprehensive Assessment Model for Sustainability Evaluation of Small Hydropower
- 1 Research Background
- 2 Index Hierarchical Construction
- 3 Comprehensive Evaluation Model
- 3.1 Factor Sets
- 3.2 Remark Sets
- 3.3 Weight Set
- 4 Cascade SHP Stations
- 5 Conclusions and Recommendations
- References
- Integrating the Stochastic Multi-criteria Acceptability Analysis with the MULTIMOORA Method for Multiple Criteria Decision Making
- 1 Introduction
- 2 The Stochastic Multi-criteria Acceptable Analysis
- 3 The MULTIMOORA Method
- 4 The SMAA-MULTIMOORA Method
- 5 An Illustrative Example: Resilient Supplier Selection
- 6 Conclusions
- References
- Crash Density and Severity Prediction Using Recurrent Neural Networks Combined with Particle Swarm Optimization
- 1 Introduction
- 2 Data Description
- 3 Methodology
- 3.1 Proposed Long Short-Term Memory-Recurrent Neural Network
- 3.2 Normalized Probability-Based Particle Swarm Optimization
- 3.3 Framework of RNN-PSO Hybrid Model
- 4 Results Analysis and Discussion
- 5 Conclusion
- References
- Assessing Machine Condition Using MLP and VAE-Based Classifiers Using Acceleration Sensor Data
- 1 Introduction
- 2 Methods
- 2.1 MLP Classifier
- 2.2 Anomaly Classification Using a Variational Autoencoder (VAE)
- 2.3 Features
- 2.4 Data Aquisition
- 3 Experiments and Results
- 4 Discussion
- 5 Conclusion
- References
- BPartTitle
- A Study on Industrial Carbon Emission from the Perspective of Scale-Structure-Technology
- 1 Research Status and Innovative Point of the Paper
- 2 Research Methods and Data Sources
- 2.1 Calculation of Carbon Intensity
- 2.2 Calculation of Influence Rate of Scale, Structure and Technology
- 2.3 Data Source
- 3 Analysis on Calculation Results
- 3.1 Analysis on Scale Influence Rates of Industries
- 3.2 Analysis on Structure Influence Rates of Industries
- 3.3 Analysis on Technology Influence Rates of Industries
- 3.4 Analysis of the Overall Influence Rate of Industries on National Carbon Emission
- 4 Analysis on Factors of Carbon Emission Increase in Different Industries
- 5 Policies and Suggestions
- 5.1 To Reduce the Net Export Scale of Low-Value-Added Industries Such As Textile and Apparel Manufacturing, Food Manufacturing and Tobacco Industry.
- 5.2 To Reduce the Proportion of Net Exports of the Petrochemical Industry, Metal-Processing Industry and Equipment Manufacturing Industry.
- 5.3 To Strengthen the Technical Transformation of the Mining Industry, the Petrochemical Industry and the Metal Smelting Industry.
- 5.4 To Pay Attention to the Development of Consumption-sensitive Industries Such As Power, Heat, Gas production and Supply, Construction and Tertiary Industry.
- References
- Applying Fuzzy Linguistic Method to Predict River Runoff
- 1 Introduction
- 2 Fuzzy Logic Forecasting Model
- 2.1 Basic Model
- 2.2 Membership Function and Its Parameter Optimization
- 2.3 Confirm Fuzzy Regulation
- 2.4 Forecast in Accordance with Fuzzy Regulation
- 2.5 Performance Criteria
- 3 Forecast Runoff of Zipingpu Station
- 3.1 Series of Runoff Data
- 4 Discussion and Conclusion
- References
- A Study on Decision-Making for Treatment Options of Suspected Cancerous Lesions of Thyroid Nodules Based on the Hesitant Fuzzy Linguistic Term, Interval Probability and Prospect Theory
- 1 Introduction and Objectives
- 2 Materials and Methods
- 3 Case Analysis
- 4 Conclusion
- References
- Regional Difference Analysis of Influencing Factors of Land Illegality
- 1 Introduction
- 2 Theoretical Analysis and Hypothesis
- 2.1 Theoretical Hypothesis on the Impact of Economic Growth on Land Law Violation
- 2.2 Theoretical Hypothesis on the Influence of Land Finance on Land Law Violation
- 2.3 Theoretical Hypothesis on the Effect of Urbanization and Industrial Structure on Land Law Violation
- 2.4 Theoretical Hypothesis on the Relationship Between the Role of Illegal Land Governance Policies and Land Law Violation
- 3 Model Construction and Data Source
- 4 Model Estimation Results and Analysis
- 5 Conclusions and Discussion
- 5.1 Conclusion
- 5.2 Discussion
- References
- A Study on the Urban Emergency Management System Based on the Internet of Things
- 1 Introduction
- 2 Literature Review
- 3 The Logical Framework for the IOT-Based Urban Emergency
- 3.1 IOT-Based Urban Emergency Management System
- 3.2 Technical Support
- 3.3 Security System
- 4 Conclusion
- References
- Impact of Climate Change on Paddy Production in Malaysia: Empirical Analysis at the National and State Level Experience
- 1 Introduction
- 2 Climate Change and Relevance to Malaysia
- 3 Data and Methodology
- 3.1 Data Collection
- 3.2 Autoregressive Distributed Lag (ARDL) Bound Testing Approach
- 3.3 Testing for Cointegration
- 3.4 Estimations, Results and Analyses
- 4 Conclusion
- References
- A Decision-Tree Analysis of the Relationship between Social Development and Homicide Rates
- 1 Introduction
- 2 Literature Review
- 3 Data on Homicide Rate and Social Indicators of Countries
- 4 Methods: Correlation Analysis and Decision-Tree Analysis
- 5 Results and Analysis
- 6 Conclusion
- References
- Maintenance Management in Wind Turbines by Monitoring the Bearing Temperature
- 1 Introduction
- 2 Temperature Monitoring in Bearings
- 3 Case Study
- 4 Conclusions
- References
- Water Allocation Plan to Meet Multi-regional Relevance Needs
- 1 Introduction
- 2 Problem Statement
- 3 Model Formulation
- 3.1 Objective Function
- 3.2 Constraints
- 4 Numerical Example
- 5 Findings
- 6 Conclusions
- References
- Evaluation Index System for Optimizing Utilization of Rural Construction Land
- 1 Introduction
- 2 Literature Review
- 3 Indication System
- 4 Methodology
- 4.1 The Weight Determination
- 4.2 The Comprehensive Evaluation
- 5 Case Study
- 5.1 Study Area
- 5.2 Results
- 5.3 Discussion
- 6 Conclusion
- References
- Multi-objective Optimization Problem for Hydroelectric Construction Project and Strategy Analysis
- 1 Introduction
- 2 Problem Description and Mathematical Formulation Model
- 2.1 Assumptions
- 2.2 Model Formulation
- 2.3 Multi-objective Model
- 3 Adaptive Hybrid Genetic Algorithm
- 3.1 Overall Procedure of the Presented Method
- 3.2 Representation
- 4 A Case Study
- 4.1 Presentation of Case Problem
- 4.2 Result of Case Problem
- 5 Conclusions
- References
- Is Porter Hypothesis True or FalseA Perspective Based on Environmental Strategic Orientation
- 1 Introduction
- 2 Theoretical Framework and Hypotheses Development
- 2.1 Environmental Regulation, Environmental Strategy and Enterprise Performance
- 2.2 Environmental Regulation and Technology Innovation Under Proactive Environmental Strategy
- 2.3 The Mediating Role of Technology Innovation in the Relationship Between Environmental Regulation and Enterprise Performance, Under Proactive Environmental Strategy
- 3 Research Methodology
- 3.1 Sample and Data Collection
- 3.2 Measures
- 3.3 Regression Model
- 3.4 Methods Specification
- 4 Results
- 4.1 Descriptive Statistics
- 4.2 Correlation Analysis
- 4.3 Analysis of Regression Results
- 5 Discussion
- 6 Conclusions
- References
- A New Approach Based on Parametric Linearization Technique for Solving Nonlinear Programming Problems
- 1 Introduction
- 2 Description of the Method
- 3 A Weak Differentiation
- 4 Extension for Non-smooth Functions
- 5 Numerical Examples
- 6 Conclusions
- References
- Multiobjective PSO Algorithm with Multi-directional Convergence Strategy to Solve Flow Shop Scheduling Problems
- 1 Introduction
- 2 Problem Formulation
- 3 Multiobjective PSO Algorithm with Multi-Directional Convergence Strategy
- 3.1 Encoding and Decoding
- 3.2 Multi-Directional Convergence Strategy
- 3.3 Overview of the MoPSO-MDCS
- 4 Experiments and Results
- 4.1 Performance Indicators
- 4.2 Experiments Results and Analysis
- 5 Conclusions
- References
- Optimal Management of Marine Inspection with Autonomous Underwater Vehicles
- 1 Introduction
- 2 Methodology Proposed
- 3 Specifications of Underwater Measurements
- 3.1 AUV Measurement Parameters
- 3.2 Sensor Payload Characteristics
- 4 Calculation of the Field of View
- 5 Conclusions
- References
- A Theoretical Framework for the Inter-Organizational Knowledge Collaboration of Knowledge Network
- 1 Introduction
- 2 Literature Review and Framework
- 3 Collaborative Opportunity Search
- 4 Knowledge Resource Flow
- 5 Collaborative Effect Generation
- 6 Conclusion
- References
- Evaluating the Global Product Development Challenges Through Social Commerce
- 1 Introduction
- 2 Theoretical Background and Literature Review
- 2.1 Conceptual Framework
- 3 Data Collection and Research Methodology
- 3.1 Data Collection
- 3.2 Statistical Computational Tools
- 4 Data Analysis and Results Discussion
- 4.1 Demographic Attributes
- 4.2 GPD Key Challenges and Success Features
- 4.3 Correlations Analysis of GPD Challenges and Features
- 5 Conclusion and Policy Implications
- 5.1 Study Outcomes
- 5.2 Policy Implications
- 5.3 Study Limitation and Future Research Direction
- References
- Analysis of SMC Marketing System and Research of Customer Loyalty Identification based on HMM
- 1 Introduction
- 2 Literature Review
- 2.1 Customer Loyalty
- 2.2 Identification of Loyal Customers
- 3 Model Developments
- 3.1 The Hidden Markov Model
- 3.2 SMC Model
- 3.3 MCMC Method for SMC Model Simulation
- 3.4 Restate the SMC Hypothesis Under M-L Framework
- 4 Customer Loyalty Status Modeling
- 4.1 Symbol Description
- 4.2 MC Marketing System and Customer Loyalty Identification
- 4.3 Model Specification
- 4.4 Structure Summary of HMM Model
- 4.5 Parameters Estimation
- 5 Numerical Examples
- 5.1 SMC Model and Loyalty Model
- 6 Conclusion and Expectations
- References
- A Hesitant Fuzzy Linguistic Combined Compromise Solution Method for Multiple Criteria Decision Making
- 1 Introduction
- 2 Preliminaries
- 2.1 Hesitant Fuzzy Linguistic Term Set (HFLTS)
- 2.2 The Combined Compromise Solution (CoCoSo) Method
- 3 The Hesitant Fuzzy Linguistic CoCoSo Method
- 3.1 Determine the Comprehensive Weights of Criteria
- 3.2 The HFL-CoCoSo Method Considering Target Criteria
- 3.3 The Procedure of the HFL-CoCoSo Method
- 4 A Numerical Example
- 5 Conclusions
- References
- Author Index
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This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
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