Note: Intro -- Preface -- Acknowledgements -- Contents -- Intelligent Systems -- An Android-Based Remote Monitoring System -- Abstract -- 1 Introduction -- 2 Requirement Analysis and Overall Design -- 2.1 Requirement Analysis -- 2.2 Overall Design -- 2.2.1 Monitoring Side -- 2.2.2 Viewing Side -- 2.2.3 Server -- 3 Detailed Design -- 3.1 System Structure -- 3.2 Process Design of the Monitoring System -- 3.3 Collection and Display of Image -- 3.4 Login Process of the Client -- 3.5 Database Design -- 3.5.1 User -- 3.5.2 Monitoring Device -- 3.5.3 Matched Information -- 3.6 Live Server -- 4 Experiment and Analysis -- 5 Conclusion -- References -- An Intelligent Registration Management System for Freshmen -- Abstract -- 1 Introduction -- 1.1 Disadvantages of the Traditional Registration Mode -- 1.2 Purpose of Constructing an Intelligent Registration Management System -- 2 Construction of the Intelligent Registration Management System -- 2.1 Functional Structure of the Intelligent Registration Management System -- 2.2 Identity Authentication of the Intelligent Registration Management System -- 2.3 Data Integration of the Intelligent Registration Management System -- 3 Results -- 4 Conclusions -- References -- Investigation of Wireless Sensor Network of the Internet of Things -- Abstract -- 1 Introduction -- 2 Method -- 3 Results and Discussion -- 4 Conclusion -- Acknowledgments -- References -- A Remote Phase Change System for Low-Voltage Power Distribution Area -- Abstract -- 1 Introduction -- 2 The Structure of System -- 3 Intelligent Phase-Change Unit -- 3.1 Permanent Magnet Relay -- 3.2 AC Zero-Crossing Phase Change Control Strategy -- 3.3 Anti-phase Short Circuit Protection -- 4 Communication Network Unit -- 5 System Control Unit -- 5.1 Software Design for the Intelligent Phase Change Switch -- 5.2 Software Design for the Mater Control Terminal. , 6 Experiments and Results -- 6.1 Synchronous Phase Change Switching Experiment -- 6.2 ZigBee Network Reliability Experiment -- 7 Conclusion -- Acknowledgments -- References -- Design and Implement of Speech Interaction with Indoor Substation Inspection Robot -- Abstract -- 1 Introduction -- 2 Function and Performance Requirements -- 3 Process Design -- 4 Design of Speech Interaction System -- 4.1 Development Mode -- 4.2 Detailed Design -- 5 Conclusion -- Acknowledgments -- References -- Speech Recognition Algorithm of Substation Inspection Robot Based on Improved DTW -- Abstract -- 1 Introduction -- 2 Feature Extraction -- 2.1 Mel-Frequency Cepstrum Coefficients -- 2.2 Endpoint Detection -- 3 Pattern Recognition -- 4 Simulation Experiment -- 5 Conclusion -- Acknowledgments -- References -- The Design of High Accuracy Pedometer Based on an Adaptive and Dynamic Low-Pass Filtering Algorithm -- Abstract -- 1 Introduction -- 2 System Principle -- 3 Waveform Acquisition and Synthesis -- 4 Waveform Analysis -- 5 Calculation and Simulation -- 6 Test and Result -- 7 Conclusion -- Acknowledgments -- References -- Research on Multi-sensor and Multi-target Data Association Problem -- Abstract -- 1 Introduction -- 2 Ant Colony Algorithm and Its Application Principle -- 2.1 Ant Colony Algorithm -- 2.2 Classic TSP Problems -- 3 Occurrence to Multi-target and Multi-sensor Data Association Problems -- 4 Bionic Algorithm -- 4.1 Path Size -- 4.2 Individual Ant -- 4.3 Pheromone Model -- 4.4 Implementation of Algorithm -- 5 Summary -- References -- A Detecting System for Wheel Balancer Based on the Effect Coefficient Method -- Abstract -- 1 Introduction -- 2 The Balance Principle of Effect Coefficient Method -- 3 The Overall Design Scheme and Software Flow of the System -- 4 Examples of Wheel Test -- 5 Conclusion -- Acknowledgements -- Acknowledgements -- References. , Study of Substation Inspection Robot Voice Recognition Algorithm Based on Wavelet Transform -- Abstract -- 1 Introduction -- 2 An Overview of the Algorithm -- 2.1 Wavelet Decomposition -- 2.2 Vector Quantization -- 2.3 Codebook Acquisition -- 2.4 LBG Algorithm -- 3 Simulation Experiment -- 4 Conclusion -- Acknowledgments -- References -- Research on the Development of Intelligent Industrial Control -- Abstract -- 1 Introduction -- 2 Industrial SCADA System -- 2.1 Electric Power SCADA System -- 2.2 Pipeline SCADA System -- 3 Smart Grids -- 4 Intelligent Refining and Chemical Refining -- 5 Conclusion -- References -- Toward Human Motion Sensing: Design and Performance Evaluation of a Minimized Wearable Platform Using Inertial and TOA Sensors -- Abstract -- 1 Introduction -- 2 Hardware Design -- 2.1 Platform Overview -- 2.2 Platform Realization -- 3 Platform Evaluation -- 3.1 Error Definition -- 3.2 Performance Evaluation -- 3.3 Results Analysis -- 4 Conclusion -- Acknowledgments -- References -- Deep Learning of Intelligent Speech Recognition in Power Dispatching -- Abstract -- 1 Introduction -- 2 Power Dispatching Speech Recognition Based on LSTM-CTC -- 2.1 The Framework of Speech Recognition Based on LSTM-CTC -- 2.2 LSTM Neural Network Model -- 2.3 Connectionist Temporal Classification (CTC) Training -- 3 Experimental Analysis -- 4 Conclusions -- Acknowledgement -- References -- An Improved Multi-factor Dimensionality Reduction Approach to Identify Gene-Gene Interactions -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Multifactor-Dimensionality Reduction (MDR) -- 2.2 Improved Multifactor-Dimensionality Reduction (IMDR) -- 3 Results and Discussions -- 4 Conclusions -- Findings -- References -- Nonlocal Estimation and BM3D Based Face Illumination Normalization -- Abstract -- 1 Introduction -- 2 Non-local Illumination Normalization Algorithm. , 3 BM3D Image De-noising and Enhancement -- 3.1 BM3D Image Denoising [13] -- 3.2 BM3D Image Enhancement [18] -- 4 Experimental Results -- 5 Conclusion -- Acknowledgments -- References -- Design of Rice Traceability System Based on WSN and RFID -- Abstract -- 1 Introduction -- 2 Overall Design Framework of System -- 3 Each Link Design of System -- 4 Design of Data Acquisition Terminal System -- 4.1 Terminal Node Circuit Design -- 4.2 Coordinator Module Design -- 4.3 Router Module Design -- 4.4 Interface Circuit Design -- 4.5 WSN Networking Design -- 4.6 Protocol Stack Workflow -- 4.7 Sensor Data Acquisition Node Program Design -- 4.8 Coordinator Data Sending and Receiving Program Design -- 4.9 Radio Frequency Identification Module Programming -- 5 Phone-End Traceability Software Design -- 5.1 Functional Requirements and Framework Technical Analysis -- 5.2 Main Page Design -- 5.3 Background Design -- 5.4 Database Design -- 6 System Testing and Conclusion -- Acknowledgments -- References -- Design of Stereoscopic Garage System Based on PLC Control -- Abstract -- 1 Introduction -- 2 General Description of a Three-Dimensional Garage -- 3 Stereo Garage Hardware Design -- 3.1 PLC Control Module Design -- 3.2 Stepping Drive Module Design -- 3.3 Screw Driver Module Design -- 4 Dimensional Garage Software Design -- 4.1 HMI Design of a Stereo Garage -- 4.2 PLC Program Design -- 4.2.1 How to Establish Downstream Channels -- 4.2.2 Design of Truck Shifting Program -- 5 Conclusion -- Acknowledgment -- References -- Intelligent Scenario Computing Workflow Fusion Design Technology for Power Mobile Operations -- Abstract -- 1 Introduction -- 2 Workflow Integration Design and Implementation for Power Mobile Operations -- 3 Design and Implementation of Workflow Task-Driven Workflow Function -- 4 Summary -- References. , New Human-Computer Interaction Solution for Next-Generation Power Grid Dispatching System -- Abstract -- 1 Introduction -- 2 New Human-Computer Interaction Research Needs -- 3 Research Foundation and Principle -- 3.1 Research Foundation -- 3.2 Principles -- 4 Implementation Plan -- Acknowledgments -- References -- Towards a Framework for Agent-Based Healthcare Monitoring -- Abstract -- 1 Introduction -- 2 Related Work -- 3 A Framework for Agent-Based Healthcare Monitoring -- 3.1 Agent Roles -- 3.2 System Architecture Modelling -- 3.3 DataAnalysis Agent -- 4 Prototype Implementation and Usage Scenario -- 5 Conclusion and Future Work -- References -- Design and Implementation of Network Traffic Capture Prober Based on General PC -- Abstract -- 1 Introduction -- 2 Network Traffic Measurement Scheme -- 3 Crucial Technology of Prober Implementation -- 3.1 Packet Capture -- 3.2 Prober Management -- 4 Probe Performance Analysis -- 4.1 Traffic Capture Performance -- 4.2 Traffic Sample Performance -- 5 Conclusions -- Acknowledgments -- References -- PAPR Reduction of FBMC-OQAM Signals Using Particle Swam Optimization Algorithm Based on MBJO-PTS -- Abstract -- 1 Introduction -- 2 FBMC-OQAM System -- 2.1 \hbox{OQAM} Pre-post Processing Scheme -- 2.2 Synthesis and Analysis Filter Banks -- 2.3 Prototype Filter Design -- 3 PAPR Reduction for FBMC - OQAM Signals -- 3.1 FBMC - OQAM Signals -- 3.2 Model of MBJO-PTS Scheme -- 3.3 Proposed PSOA for Optimal Solutions Reducing PAPR of FBMC-OQAM System -- 4 Results and Discussion -- 5 Conclusions -- Acknowledgments -- References -- On Abelian Tensor Decomposition and Gradient-Descent Algorithm -- 1 Introduction -- 2 Standard Tensor Decompositions -- 3 Abelian Tensor -- 4 Algorithm for Abelian Tensor Decomposition -- 4.1 Gradient-Descent Algorithm -- 4.2 Lyapunov Method in Analysis of Stability -- References. , Collision Avoidance Method for UAV Using A* Search Algorithm.

Note: Intro -- Preface -- Acknowledgements -- Contents -- About the Editors -- Interactive Browsing of Large Image Repositories -- 1 Introduction -- 2 Image Database Navigation Systems -- 3 Hue Sphere Image Browser-Principles -- 4 Hue Sphere Image Browser-Systems -- 5 Conclusions -- References -- Intelligent Computing -- 2 Building Unmanned Plant Factory with Modular Robotic Manipulation and Logistics Systems -- Abstract -- 1 Introduction -- 2 Overview of the Integrated Logistics Systems -- 3 Unmanned Ground Vehicle (UGV) -- 3.1 Overview of the UGV -- 3.2 Hardware of the UGV -- 4 Docking System -- 5 Smart Remote-Control System -- 6 Conclusion -- Acknowledgements -- References -- 3 A Comprehensive Looks at Data Mining Techniques Contributing to Medical Data Growth: A Survey of Researcher Reviews -- Abstract -- 1 Introduction -- 2 An Overview of Data Mining -- 3 Proposed Reviews -- 4 Summary -- 5 Conclusion -- Acknowledgements -- References -- 4 Risk Evaluation in TSC Based on Fuzzy Linguistic Information and QFD -- Abstract -- 1 Introduction -- 2 Risk Evaluation in TSC Based on Fuzzy Linguistic Term -- 2.1 2-Tuple Fuzzy Linguistic Model -- 2.2 Risk Analysis Based on Quality Function Deployment -- 2.3 Risk Evaluation Based on Fuzzy QFD -- 3 Case Study -- 4 Conclusion -- References -- 5 Study on Total Factor Productivity of Nanshan District in Shenzhen -- Abstract -- 1 Foreword -- 2 The Measure of Factor Productivity -- 2.1 Model and Parameter Estimation -- 2.1.1 Selection of Production Function -- 2.1.2 Parameter Estimation of Production Function -- 2.2 Efficiency of Economic Operation -- 3 Explain the Growth Phases of Economy in Nanshan District -- 4 Conclusion -- Acknowledgements -- References -- 6 Image Spam Filtering Using Weighted Spatial Pyramid Networks -- Abstract -- 1 Introduction -- 2 Related Work -- 3 ADAMM Stochastic Optimization Algorithm. , 4 WSP-Net Real-Time Image Recognition Model -- 5 Performance -- 6 Discussion and Conclusions -- Acknowledgements -- References -- 7 Research on the Technology Used to Inspect the Visual Appearance of Tropical Fruit, based on Machine Vision Color Space -- Abstract -- 1 Introduction -- 2 Characteristics of Hainan Tropical Fruit -- 3 Machine Vision (Computer Vision) Detection Technology -- 4 Applied Research -- 5 Summary -- Acknowledgements -- References -- 8 Research on the Mixed-Learning Model and the Innovative Talent Cultivation Mechanism Based on Computational Thinking -- Abstract -- 1 Introduction -- 2 Domestic and Foreign Research Status -- 3 Research on the Cultivation Mode of Ability in Computational Thinking -- 4 The Purpose of Researching Computational Thinking -- 5 Cultivating the Technical Method of Calculating Thinking -- 6 Summary -- Acknowledgements -- References -- 9 Review of Domestic and Foreign Research on the Elderly's Use of Mobile Phones -- Abstract -- 1 Introduction -- 2 Research Method -- 2.1 Literature Review and Database Selection -- 2.2 Search Term and Evaluation of Literature Relevance -- 2.3 Analysis and Reorganization -- 3 Influencing Factors for the Elderly's Use of Mobile Phones -- 3.1 Characteristics of the Elderly -- 3.2 Personal Motivation -- 3.3 Sociodemographic Factors -- 3.4 Technology Convenience -- 4 Prospects -- Acknowledgements -- References -- 10 Research on Face Detection Based on Fast R-CNN -- Abstract -- 1 Introduction -- 2 Face Detection Fast R-CNN -- 2.1 The Construction of Face Detection -- 2.2 Fast R-CNN -- 2.3 ROI Pooling Layer Calculation -- 2.4 Output Layer Regression Calculation -- 3 Experimental Part -- 3.1 Experimental Platform -- 3.2 Experimental Results and Analysis -- 4 Summary -- References -- 11 Research and Optimization of Data Sparsity in Collaborative Filtering Algorithms -- Abstract. , 1 Introduction -- 2 Cooperative Filtering Algorithm Based on Memory -- 3 Algorithm Design and Implementation -- 3.1 Problem Analysis -- 3.2 Algorithm Design and Implementation -- 4 Experimental Results and Analysis -- 4.1 Experimental Data and Environment -- 4.2 Experimental Results -- 5 Summary -- References -- 12 A Robust Image Segmentation Approach Using Fuzzy C-Means Clustering with Local Coefficient of Variation -- Abstract -- 1 Introduction -- 2 Motivation -- 3 The Proposed Method -- 4 Results and Analysis -- 4.1 Synthetic Images -- 4.2 MR Brain Images -- 5 Conclusion -- Acknowledgements -- References -- 13 A Method to Mine Frequent Dense Resources Across Multiple Real-Value Function's Resource Effectiveness Matrixes -- Abstract -- 1 Introduction -- 2 Problem Description -- 3 Mining Frequent Dense Resource Sets -- 4 Results -- 5 Conclusion -- Acknowledgements -- References -- 14 Augmenting Concolic Testing with Weighted Constraints-Based Search -- Abstract -- 1 Introduction -- 2 Overview -- 2.1 Concolic Testing -- 2.2 Search Strategies -- 3 Implementation -- 3.1 CFG Construction -- 3.2 Path Constraints Collect and Evaluate -- 3.3 Sort the Paths and Solve Constraints -- 4 Evaluation -- 5 Conclusion -- Acknowledgements -- References -- 15 Research of TDOA Cooperative Direction Finding Algorithm Based on LLS and Taylor -- Abstract -- 1 Introduction -- 2 Algorithm Description -- 2.1 Direction Finding Model Based on TDOA -- 2.2 Cooperative Algorithm Based on LLS and Taylor -- 3 Error Analysis -- 3.1 Cramer-Rao Lower Bound -- 3.2 Mean Square Error -- 4 Simulation Experiments -- 4.1 Parameter Setting -- 4.2 Estimate Results of Direction -- 5 Conclusion -- References -- 16 KCF Tracking Algorithm Based on Outlier Detection -- Abstract -- 1 Introduction -- 2 KCF Tracking Algorithm -- 2.1 Training Classifiers -- 2.2 Target Detection. , 3 Improved KCF Algorithm -- 3.1 Target Detection -- 3.2 Re-Detection and Localization Mechanism -- 4 Experimental Results and Analysis -- 4.1 Experimental Environment and Parameters -- 4.2 Assessment Criteria -- 4.3 Performance Analysis -- 5 Conclusion -- References -- 17 Spectral Clustering Algorithm Based on Attribute Weight of Information Entropy -- Abstract -- 1 Introduction -- 2 Weighted Euclid Distance Based on Information Entropy -- 3 Algorithm -- 4 Experiment -- References -- 18 Interference Location Using an Improved TDOA Algorithm with Antenna Array and Beamforming -- Abstract -- 1 Introduction -- 2 TDOA Method Description -- 3 Improved TDOA Using Array Antenna -- 4 Experiments and Conclusion -- Acknowledgements -- References -- 19 Reconstruction Algorithm of Discontinuous Point for a Class of Shallow Water Equations by MQQI -- Abstract -- 1 Introduction -- 2 Equations -- 3 Numerical Methods -- 4 Numerical Examples -- 4.1 The KDV Equation -- 4.2 The C-H Equation -- 4.3 The D-P Equation -- 5 Conclusion -- Acknowledgements -- References -- 20 Salmon Migration Optimization: A Novel Nature-Inspired Algorithm -- Abstract -- 1 Introduction -- 2 Salmon Migration Optimization (SMO) -- 2.1 Inspiration -- 2.2 Algorithm Flow and Mathematical Model -- 2.2.1 SMO Algorithm -- 2.2.2 Water Flow Oriented Heuristic -- 2.2.3 Magnetic Oriented Heuristic -- 2.2.4 Pheromone Oriented Heuristic -- 3 Results and Discussion -- 3.1 Benchmark Functions and Experimental Setting -- 3.2 Comparison Results and Analysis -- 3.2.1 Unimodal Test Functions and Exploitation Analysis -- 3.2.2 Multi-modal Test Functions and Exploration Analysis -- 3.2.3 Wilcoxon Rank-Sum Test Results and Analysis -- 4 Conclusions -- References -- 21 An Intelligent Logistic Regression Approach for Verb Expression's Sentiment Analysis -- Abstract -- 1 Introduction -- 2 Methodology. , 2.1 Verb Expression Extractor and Vectorization -- 2.2 New Feature Finding with PSO -- 2.3 Regression Coefficient Computation -- 3 Experiments -- 3.1 Datasets -- 3.2 Experimental Results -- 4 Conclusion -- Acknowledgements -- References -- 22 Lyapunov Inequality for Conformable Fractional Equation -- Abstract -- 1 Introduction -- 2 Definition, Lemma, and Remark -- 3 Main Results -- 4 Discussion -- Acknowledgements -- References -- 23 Feature Extraction and Classification of Dynamic and Static Gestures Based on RealSense -- Abstract -- 1 Introduction -- 2 Related Works -- 2.1 Intel RealSense Technology -- 2.2 Hand Data Acquisition -- 2.3 Gesture Customization -- 3 Feature Analysis and Extraction -- 3.1 Gesture Feature Analysis and Calculation -- 3.2 Feature Set Selection -- 4 Experiment and Analysis -- 5 Conclusions -- Acknowledgements -- References -- 24 Research on Passive Acoustic Source Direction Finding Based on TDOA -- Abstract -- 1 Introduction -- 2 Development of Passive Acoustic Direction Finding -- 3 Direction-Finding Algorithm -- 3.1 Method of Solving Equations -- 3.2 Linear Least Square Method -- 4 The Current Direction-Finding Problems -- 5 Conclusion -- References -- 25 Evaluation of English Speech Quality Based on Deep Belief Network -- Abstract -- 1 Introduction -- 2 Speech Signal Preprocessing and Feature Extraction -- 2.1 The Preprocessing of Speech Signals -- 2.2 Extraction of Speech Feature Parameters -- 3 Multi-parameter Pronunciation Quality Evaluation Based on Deep Belief Network -- 3.1 Restricted Boltzmann Machine -- 3.2 Deep Belief Network -- 4 Experiment Simulation and Result Analysis -- 5 Conclusions -- References -- 26 Integrated Simulation Design of UAV System -- Abstract -- 1 Introduction -- 2 Scheme Design -- 2.1 Development Process of Integrated Simulation -- 2.2 Simulation Objects and Integrated Simulation System. , 3 Real-Time Simulation System Design.

Note: Intro -- Preface -- Acknowledgements -- Contents -- About the Editors -- Data Science and Analytics -- Quality Index Evaluation Model Based on Index Screening Model -- 1 Introduction -- 2 Three-Parameter Interval Principal Component Analysis -- 2.1 Principal Component Analysis -- 2.2 Calculation Steps -- 2.3 M-PCA Three-Parameter Interval Principal Component Analysis -- 2.4 Calculation Steps -- 2.5 The Determination of Subjective Index Weight Based on Analytic Hierarchy Process -- 2.6 Index Evaluation -- 3 Analysis of Examples -- 4 Conclusion -- References -- Selection of Software Development Methodologies (SDMs) Using Bayesian Analysis -- 1 Introduction -- 2 Proposed Work -- 3 Proposed Model -- 3.1 Experimental Result -- 4 Conclusion -- 5 Future Scope -- References -- Role of Social Media in Employer Branding-A Study on Selected Engineering Colleges (Private) in Bhubaneswar -- 1 Introduction -- 2 Objective -- 3 Methodology -- 4 Literature Review -- 4.1 Employer Branding -- 5 Cases of Private Institute -- 5.1 Case 1: Institute of Technical Education and Research, SOA University, Bhubaneswar -- 5.2 Case 2: Centurion University of Technology and Management (CUTM), Bhubaneswar -- 5.3 Case 3: Silicon Institute of Technology -- 5.4 Case 4: Gandhi Engineering College (GEC) Bhubaneswar -- 5.5 Case 5: Hi-Tech Institute of Technology (HIT), Bhubaneswar -- 6 Conclusion of the Study -- References -- A Novel Approach for Artifact Removal from Brain Signal -- 1 Introduction -- 2 Overview of Proposed Method -- 2.1 Kurtosis -- 2.2 Multiscale Entropy (MSE) -- 2.3 Artifact Channel Identification -- 2.4 Artifact Denoising -- 3 Results and Discussion -- 4 Conclusion -- References -- A Novel Approach to Heterogeneous Multi-class SVM Classification -- 1 Introduction -- 2 Literature Review -- 3 Classification Problem -- 4 Proposed Novel Approach for Heterogeneous Data. , 5 Experimental Results -- 6 Conclusion -- References -- An Empirical Study of Big Data: Opportunities, Challenges and Technologies -- 1 Introduction -- 2 Importance of Big Data -- 2.1 Importance to National Development -- 2.2 Importance to Industrialized Upgrades -- 2.3 Importance to Technical Research -- 2.4 Importance to Interdisciplinary Research -- 2.5 Importance to Better Predict the Future -- 3 Big Data Characteristics -- 3.1 Volume -- 3.2 Velocity -- 3.3 Variety -- 3.4 Veracity -- 3.5 Validity -- 3.6 Volatility -- 3.7 Value -- 4 Hadoop: Way to Process Big Data -- 4.1 Hadoop Distributed File System -- 4.2 MapReduce -- 5 Challenges of Big Data -- 5.1 Data Challenges -- 5.2 Processing Challenges -- 5.3 Management Challenges -- 6 Big Data Techniques -- 7 Big Data Hadoop-Based Tools -- 7.1 Apache Hadoop -- 7.2 Apache Mahout -- 7.3 Storm -- 7.4 S4 -- 7.5 Apache Kafka -- 8 Conclusion -- References -- Forecasting World Petroleum Fuel Crisis by Nonlinear Autoregressive Network -- 1 Introduction -- 2 Data Sources -- 3 Methodology -- 3.1 Time Series Prediction Using Artificial Neural Network (ANN) -- 3.2 Comparisons of General Prediction Models -- 3.3 Predictive Model Flow Control Diagram -- 3.4 Predictive Model Structure -- 4 Performance Measurement -- 5 Result and Analysis -- 6 Comparison and Discussion -- 7 Hypothesis Testing -- 8 Conclusion -- References -- Stock Market Price Prediction Employing Artificial Neural Network Optimized by Gray Wolf Optimization -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Dataset -- 3.2 Normalization -- 3.3 Artificial Neural Network -- 3.4 Gray Wolf Optimization -- 4 Proposed Approach -- 5 Experimental Setup and Simulation Result -- 6 Conclusion -- References -- Analysis of Techniques for Credit Card Fraud Detection: A Data Mining Perspective -- 1 Introduction -- 2 Literature Review. , 2.1 Dataset Collection -- 2.2 Various Methodology of Fraud Detection in Credit Card -- 3 Challenges in Credit Card Fraud Detection -- 4 Conclusion -- References -- Predictive Analytics for Weather Forecasting Using Back Propagation and Resilient Back Propagation Neural Networks -- 1 Introduction -- 2 Related Works -- 3 Supervised Learning Algorithms -- 4 Artificial Neural Network -- 4.1 Back Propagation Algorithm -- 4.2 Resilient Back Propagation -- 5 Results and Discussion -- 5.1 Backprop and Rprop Implemented in RStudio -- 5.2 Receiver Operating Characteristic Curve (ROC) and Area Under Curve (AUC) -- 5.3 ggplot -- 6 Conclusion -- Appendix -- References -- Analysis of the Leadership of Undergraduate Freshmen in Military Schools from the Perspective of Space -- 1 Introduction -- 2 Research Methods -- 2.1 Research Tools -- 2.2 Research Procedures -- 3 The Results Analysis -- 3.1 Reliability and Validity Test -- 3.2 Overall Analysis of Leadership -- 3.3 Analysis of the Correlation Between Leadership and Per Capita Income -- 3.4 Analysis of the Correlation Between Leadership and Per Capita Income -- 4 Result Analysis -- 5 Concluding Remarks -- References -- Correlation Analysis for CSI300 Index Return and Realized Volatility -- 1 Introduction -- 2 Model Construction -- 2.1 Model Realized Estimate -- 2.2 Edge Distribution Model Construction -- 2.3 Construction of Time Change D-Vine Copula -- 3 Empirical Analysis -- 3.1 Characteristic Analysis -- 3.2 Parameter Estimation -- 3.3 Parameter Estimation for Continuous-Time Volatility and the Jump Volatility Models -- 3.4 Correlation Analysis -- 4 Conclusion -- References -- Prescription Basket Analysis: Identifying Association Rule Among Drugs in Prescription of Dentist in Bhubaneswar City -- 1 Introduction -- 2 Research Methodology -- 3 Data Analysis and Results -- 4 Conclusion -- References. , Decision Science and Management -- Impact of Decision Science on e-Governance: A Study on Odisha Land Records System -- 1 Introduction -- 1.1 e-Governance -- 1.2 Odisha Right to Public Services Act -- 2 Literature Review -- 2.1 Brainstorming -- 2.2 Committee Meetings -- 2.3 Delphi -- 2.4 Electronic Meeting -- 2.5 Survey -- 2.6 Decision Tree and Decision Tables -- 2.7 Game Theory -- 2.8 Simulation -- 3 Decision Science for e-Governance -- 3.1 Risk Analysis -- 3.2 Decision Analysis -- 3.3 Cost-Effectiveness Analysis -- 4 Key Findings of the Paper -- 5 Conclusion -- References -- HR Value Proposition Using Predictive Analytics: An Overview -- 1 Introduction -- 2 Data Analytics -- 2.1 Descriptive Analytics -- 2.2 Predictive Analytics -- 2.3 Prescriptive Analytics -- 3 Literature Review -- 3.1 HR Analytics -- 4 Findings and Discussion -- 4.1 Importance of Analytics in HR -- 5 Conclusions -- 6 Originality -- 7 Declaration -- References -- Determination of Time-Dependent Quadratic Demand by Using Optimal Ordering Policy, Salvage Value Under Partial Backlogging, Time-Proportional Deterioration, Time-Varying Holding Cost -- 1 Introduction -- 2 Assumptions -- 3 Modeling -- 3.1 Notations -- 3.2 Mathematical Formulation -- 4 Numerical Examples -- 5 Sensitivity Analysis -- 6 Conclusions -- References -- Inventory Control for Materials Management Functions-A Conceptual Study -- 1 Introduction -- 2 Review of the Literature -- 2.1 Inventory Management -- 2.2 Material Management -- 3 Conclusion -- References -- ACO-Based Secure Routing Protocols in MANETs -- 1 Introduction -- 2 Ant Colony Optimization -- 3 Security Aware ACO Routing Protocols -- 3.1 Secure Antnet Routing Algorithm for Scalable Ad Hoc Networks Using Elliptic Curve Cryptography -- 3.2 Secure Power Aware Ant Routing Algorithm -- 3.3 Swarm-Based Detection and Defence Technique. , 3.4 Detection and Prevention of Blackhole Attack in MANET Using ACO Routing -- 3.5 Autonomous Bio-inspired Public Key Management Protocol -- 3.6 ANT-Based Trustworthy Routing -- 3.7 Pair-Wise Key Agreement and Hop-by-Hop Authentication Protocol -- 4 Comparison and Analysis of Security Aware ACO Routing Protocols -- 5 Conclusion and Future Work -- References -- An Approach Toward Integration of Big Data into Decision Making Process -- 1 Introduction -- 2 Background -- 3 Challenges During Big Data Analytics for Decision Making -- 4 Integrated Framework of Big Data Analytics with Decision Making Process -- 4.1 Proposed Approach -- 5 Conclusion and Future Aspects -- References -- Big Data Analysis and Classification of Biomedical Signal Using Random Forest Algorithm -- 1 Introduction -- 2 Proposed Methodology -- 3 Preprocessing of the Signal -- 4 Feature Extraction -- 5 Random Forest -- 6 Classification Result -- 7 Conclusion -- References -- An Intelligent Framework for Analysing Terrorism Actions Using Cloud -- 1 Introduction -- 2 Motivation -- 3 Objective -- 4 Literature Review -- 5 Comparison of Models -- 6 Conclusion -- References -- Research on Optimization of J Company Warehouse Storage Process -- 1 Introduction -- 2 Analysis on the Current Situation of J Company -- 2.1 Warehouse Storage Process -- 2.2 Problems with Warehouse Storage Process -- 3 Optimized Warehouse Storage Process -- 4 Petri Net Model -- 5 Conclusion -- References -- The Influence of Psychological Contract on the Willingness to Share Tacit Knowledge -- 1 Introduction -- 2 Psychological Contract -- 2.1 Knowledge Sharing -- 2.2 Hypothesis -- 3 Method -- 3.1 Measurement Tools -- 4 Result -- 5 Hypothesis Testing -- 6 Discussion -- 7 Limitations and Future Research -- References -- Research on the Role of Government Management in Chinese Public Indemnificatory Housing System. , References.

Note: Intro -- Preface -- Acknowledgements -- Contents -- About the Editors -- Intelligent Computing -- 1 Global Stability of a Viral Dynamical Model -- Abstract -- 1 Introduction -- 2 Model -- 3 The Existence of Equilibria -- 4 The Global Stability of Equilibria -- Acknowledgements -- References -- 2 Research on Construction of the Software Technology Profession in Vocational Institutes Based on the External Vision -- Abstract -- 1 Introduction -- 2 Professional Construction Ideas Based on the External Vision -- 3 Versatile Teaching Team Construction Based on the Strengths of Teachers -- 4 Social Service Ability Construction Based on Demands of Social Markets -- 5 Construction of School Training Bases Integrated Into Occupation Job Elements and the Construction of the Public Off-Campus Training Bases -- Acknowledgements -- References -- 3 Numerical Study on the Expanded Mixed Covolume Method for One-Dimensional Sobolev Equation -- Abstract -- 1 The Expanded Mixed Covolume Method -- 1.1 The Semi-discrete Scheme -- 1.2 The Fully Discrete Scheme -- 2 Numerical Invariants -- 2.1 A Single Solitary Wave -- 2.2 Interaction of Two Solitary Waves -- References -- 4 Research on the Control Method of Coal Sample Blanking Based on the BP Neural Network and the PID Algorithm -- Abstract -- 1 Introduction -- 2 Control Method of Coal Sample Blanking Based on the BP Neural Network and the PID Algorithm -- 2.1 PID Control Algorithm -- 2.2 BP Neural Network Algorithm -- 3 Experimental Verification -- Acknowledgements -- References -- 5 A Practice on Neural Machine Translation from Indonesian to Chinese -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Lore Translator -- 4 Experiments -- 4.1 Corpus -- 4.2 Training -- 4.3 Experimental Results and Discussion -- 4.4 Demo System -- 5 Conclusion -- Acknowledgements -- References. , 6 Keyword-Based Indonesian Text Summarization -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 The Development of Automatic Summarization -- 2.2 Existing Systems -- 3 Keyword Contribution Method -- 3.1 Overall Architecture -- 3.2 Algorithm -- 4 Experiment -- 5 Conclusion -- Acknowledgements -- References -- 7 Automatic Decision Support for Public Opinion Governance of Urban Public Events -- Abstract -- 1 Introduction -- 2 Implementation -- 2.1 Data Collection Layer -- 2.2 Information Analysis Layer -- 2.3 Public Opinion Government Layer -- 3 Conclusion -- Acknowledgements -- References -- 8 Improved Local Morphology Fitting Active Contour with Weighted Data Term for Vessel Segmentation -- Abstract -- 1 Introduction -- 2 Related Local Region-Based Models -- 3 Proposed Method -- 4 Results -- 5 Conclusion -- References -- 9 3D Point Cloud Data Splicing Algorithm Based on Feature Corner Model -- Abstract -- 1 Introduction -- 2 3D Point Cloud Data Splicing Algorithm Based on Feature Corner Model -- 2.1 Model Innovation and Data Mining -- 2.2 The Overall Structure of the System -- 2.3 Point Cloud Data Splicing Algorithm -- 3 Conclusion -- Acknowledgements -- References -- 10 A Preliminary Study on Mobile Learning -- Abstract -- 1 The Concept, Characteristics, and Composition of Mobile Learning -- 2 The Feasibility of Mobile Learning -- 2.1 The Characteristics of Mobile Learning -- 2.2 The Inherent Advantages of the Network Environment -- 2.3 The Needs of Professional Construction -- 3 Potential Problems and Solutions in Mobile Learning -- 4 Conclusion -- References -- 11 Design and Implementation of Real-Time Inquiry System of the Stock Market -- Abstract -- 1 Introduction -- 2 Relative Technologies -- 2.1 Hadoop -- 2.2 HBase -- 3 Requirement Analysis and Design -- 3.1 System Function Analysis -- 3.2 Overall Design of the System. , 3.3 Database Design -- 4 Implementation of the Key Modules of the System -- 4.1 The Real-Time Prompt Module of Fuzzy Query of Stock Information -- 4.2 News Information Module -- 4.3 Query Module of Large Quantities of Historical Data -- 5 Conclusion -- Acknowledgements -- References -- 12 An Improved Feature Selection Algorithm for Fault Level Identification -- Abstract -- 1 Introduction -- 2 Basic Concepts of Ordinal Classification -- 3 Feature Selection Algorithm for Ordinal Classification -- 4 Feature Selection and Classification Results -- 5 Conclusions -- Acknowledgements -- References -- 13 Computing Model of Musical Multiple Perception Based on Memory Mapping Perception Inversion -- Abstract -- 1 Introduction -- 2 Fuzzy Perception of Music -- 2.1 Fuzziness of Music -- 2.2 Memory Mapping and Perception Inversion (MMPI) -- 3 Music Intelligence Based on Fuzzy Perception -- 3.1 Musical Feature Index -- 3.2 The Basic Type of Music Perception -- 4 Experimental Results -- 5 Conclusions -- Acknowledgements -- References -- 14 A Natural Immersive Closed-Loop Interaction Method for Human-Robot "Rock-Paper-Scissors" Game -- Abstract -- 1 Introduction -- 2 System Description -- 2.1 The Natural Interaction Implementation -- 2.2 The Real-Time Performance Implementation -- 2.3 The Immersion Mode Implementation -- 3 The Closed-Loop Characteristics -- 4 System Testing and Evaluation -- 5 Conclusion -- References -- 15 Capsule Network-Based Facial Expression Recognition Method for a Humanoid Robot -- Abstract -- 1 Introduction -- 2 Advantages and Properties of the Capsule Net -- 2.1 The Differences -- 2.2 The Properties of the Capsule Net -- 3 CK+ Dataset and NAO Robot Experiments -- 3.1 CK+ Dataset -- 3.2 NAO Robot -- 3.3 Experiments -- 4 Conclusions -- Acknowledgements -- References. , 16 Equipment Maintenance Mode Decision Based on Fuzzy Multi-attribute Decision Method -- Abstract -- 1 Introduction -- 2 Fuzzy Multi-attribute Decision Model -- 3 Fuzzy Multi-attribute Decision Process -- 4 Fuzzy Multi-attribute Decision Method -- 5 Example Analysis -- 6 Conclusion -- References -- 17 A Method for Facial Kinship Verification Based on Deep Learning -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Channel Backbone Network -- 2.2 Multi-channel Model -- 2.2.1 Binary-Channel Model -- 2.2.2 Elastic Multi-channel Model -- 2.3 Training -- 3 Experiments and Results -- 4 Conclusion -- Acknowledgements -- References -- 18 A Domain-Adapting Word Representation Method for Word Clustering -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Frequently Co-occurring Entropy -- 3.2 Fuzzy Bag-of-Words Model -- 4 Experimental Results -- 5 Conclusion -- Acknowledgments -- References -- 19 Fitting Complex Nonlinear Function with Belief Rule Base -- Abstract -- 1 Introduction -- 1.1 The Basic BRB Model -- 1.2 BRB Inference Using ER Approach -- 2 Constructing BRB Model for Nonlinear Function -- 2.1 Nonlinear Function -- 2.2 Transformation Techniques for Quantitative Data -- 3 Parameter Training for BRB -- 4 Experiments Study -- 5 Conclusion -- References -- 20 Approximate Kernel Regression Based on Distributed ADMM Algorithm -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Kernel Regression -- 2.2 ADMM Algorithm -- 2.3 Kernel Regression Based on ADMM Algorithm -- 2.4 Approximate Kernel Matrix -- 3 Experiments -- 4 Conclusion -- Acknowledgements -- References -- 21 Detection for Mixed-Characters Based on Machine Learning -- Abstract -- 1 Introduction -- 2 The Composition of the Detection System -- 3 Character Preprocessing -- 3.1 Binarization -- 3.2 Character Segmentation -- 3.3 The Character Normalization -- 4 Data Set Production. , 5 Neural Network Design -- 6 Experimental Results and Analysis -- 7 Conclusion -- References -- 22 Research on 3D Terminal Rendering Technology Based on Power Equipment Business Features -- Abstract -- 1 Introduction -- 2 3D Model High-Speed Rendering Technology -- 3 3D Model Real-Time High-Speed Rendering Technology for Terminal and Grid Business Application Requirements -- 3.1 Scene Organization -- 3.2 Rendering Process -- 3.3 3D Engine Cross-Platform Technology -- 4 Conclusions -- Acknowledgements -- References -- 23 Community Detection Based on Improved Bee Evolutionary Genetic Algorithm -- Abstract -- 1 Introduction -- 2 Algorithm Structure and Algorithm Description -- 3 Improved Bee Evolutionary Genetic Algorithm -- 3.1 Fitness Function -- 3.2 Encoding -- 3.3 Population Initialization -- 3.4 Crossover Operator -- 3.5 Mutation Operator -- 3.6 Selection Operator -- 3.7 Optimization of Random Population Size -- 4 Simulation and Analysis -- 4.1 Community Detection of the LFR Benchmark Network -- 4.2 Community Detection of the Karate Club Network -- 4.3 Community Detection of the dolphin Network -- 5 Conclusion -- Acknowledgments -- References -- 24 Named Entity Recognition for Chinese Management Case Texts -- Abstract -- 1 Introduction -- 2 Semi-supervised Learning Method -- 2.1 Bootstrapped Framework -- 2.2 BI-LSTM-CRF Model -- 2.3 Evaluating Rule -- 3 Experiment -- 3.1 Dataset -- 3.2 Results and Analysis -- 4 Conclusion and Discussion -- Acknowledgements -- References -- 25 Application of Virtual Simulation Platform in Basic Medical Teaching -- Abstract -- 1 Introduction -- 2 Significance of Basic Medical Virtual Simulation Experimental Platform -- 2.1 Reduce the Cost of Experiment -- 2.2 Provide an Open Experimental Environment -- 2.3 Enhance Classroom Fun -- 3 Construction of Basic Medical Virtual Simulation Platform. , 3.1 Functionality Virtual Simulation Experiment Platform.

Note: Intro -- Preface -- Acknowledgements -- Contents -- Autonomous Systems -- Prediction of Rolling Force Based on a Fusion of Extreme Learning Machine and Self Learning Model of Rolling Force -- Abstract -- 1 Introduction -- 2 ELM Algorithm -- 3 Rolling Force Mathematical Model -- 4 Rolling Force Model Self Learning of Finishing Mill -- 5 Forecasting Experiment and Result Based on Rolling Force of ELM -- 6 Conclusion -- References -- User Behavior Profiles Establishment in Electric Power Industry -- Abstract -- 1 Introduction -- 2 Related Work -- 3 User Label System of Electric Power Industry -- 3.1 Behavior Label -- 3.2 Behavior Description Label -- 3.3 Behavior Prediction and User Classification Label -- 4 Label Generation Technique -- 4.1 Label Generation Technique Based on Clustering Algorithm -- 5 Experiment and Analysis -- 5.1 Generate the Behavior Label -- 5.2 Generate the Behavior Description Label -- 5.3 Generate the Behavior Prediction Label and User Classification Label -- 6 Conclusion -- References -- The Optimal Pan for Baking Brownie -- Abstract -- 1 Introduction -- 2 The Distribution of Heat for Pan -- 2.1 Finite Element Analysis -- 2.2 Edge Cutting Model -- 3 Conclusion -- Acknowledgements -- References -- Intelligent Steering Control Based the Mathematical Motion Models of Collision Avoidance for Fishing Vessel -- Abstract -- 1 Introduction -- 2 Intelligent Steering Control Based the Mathematical Motion Models of Collision Avoidance for Fishing Vessel -- 2.1 Merchant Ship Maneuvering Motion Equation -- 2.2 Merchant Ship Intelligent Steering Control -- 2.3 Acquisition of Collision Avoidance Elements -- 3 Application -- 3.1 Simulation Object and Conditions Setting -- 3.2 Simulation Results and Analysis -- 4 Conclusion -- Acknowledgements -- References -- Dynamical Analysis of Fractional-Order Hyper-chaotic System -- Abstract. , 1 Introduction -- 2 Related Work -- 2.1 Fractional-Order Hyper-chaotic Complex System -- 2.2 Dynamic Behavior Analysis of the System -- 2.2.1 System Equilibrium Point -- 2.2.2 The Influence of System Order Variation on the System -- 2.2.3 The Influence of System Parameter Change on the System -- 3 Conclusion -- References -- Evaluating the Performance of the Logistics Parks: A State-of-the-Art Review -- Abstract -- 1 Introduction -- 2 Review on the Evaluation Index System -- 2.1 Establishment of the Evaluation Index System -- 2.2 Discussion on the Evaluation Index System -- 3 Review on the Evaluation Models -- 3.1 Analysis on the Evaluation Models -- 3.2 Discussion on the Evaluation Models -- 4 Conclusions -- Acknowledgements -- References -- A Tabu Search Algorithm for Loading Containers on Double-Stack Cars -- Abstract -- 1 Introduction -- 2 Problem Description -- 2.1 Background Information -- 2.2 Optimization Strategy -- 3 Tabu Search Algorithm for the Container Loading Problem -- 3.1 Introduction to the Algorithm -- 3.2 Tabu Search Algorithm Design -- 4 Numerical Cases -- 5 Conclusions -- Acknowledgements -- References -- Optimization Model Under Grouping Batch for Prefabricated Components Production Cost -- Abstract -- 1 Introduction -- 2 Problem Description and Variables Defining -- 2.1 Problem Description -- 2.2 Variables Defining -- 3 Model Establishing -- 4 Application Instance and Comparative Analysis -- 4.1 Application Instance -- 4.2 Comparative Analysis -- 5 Conclusion -- Acknowledgements -- References -- Air Quality Evaluation System Based on Stacked Auto-Encoder -- Abstract -- 1 Introduction -- 2 The Methods -- 2.1 Introduction to Traditional Method -- 2.2 AQES-SAE System -- 3 The Experiments -- 3.1 Classification with Improved K-means Algorithm -- 3.2 Identification with the SAE Model -- 4 The Results -- 4.1 Clustering Analysis. , 4.2 Superiority of the AQES-SAE System -- 5 Summary -- References -- Pattern Recognition and Vision Systems -- Urban-Rural Difference of the Coupling Between Social-Economic Development and Landscape Pattern in Chengdu Plain -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area and Data Source -- 2.2 Coupling Model -- 3 Results -- 3.1 Urban-Rural Differences in Landscape Pattern -- 3.2 Urban-Rural Coupling Differences Between the Landscape Pattern and the Social-economic Development -- Acknowledgments -- References -- A New Model and Algorithm for Clustering -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 New Model of Clustering -- 2.2 Compact Homogenizing of Class -- 2.2.1 The Establishment of Similar Graph Matrix -- 2.2.2 The Establishment of Compact Homogenizing Between Class -- 2.3 Size Similarity Between Class -- 2.4 Cluster Model -- 3 Algorithm -- References -- Gibbs Phenomenon for Bi-orthogonal Wavelets -- Abstract -- 1 Introduction -- 2 Preliminaries -- 3 Gibbs Phenomenon of Biorthogonal Wavelet Expansion -- 4 Conclusion -- Acknowledgments -- References -- {{\varvec \upalpha}} -Convergence Theory -- Abstract -- 1 Introduction -- 2 {{\varvec \upalpha}} -Adherence Dots and {{\varvec \upalpha}} -Accumulation Dots -- 3 {{\varvec \upalpha}} -Convergence of Nets -- 4 {{\varvec \upalpha}} -Convergence of Ideals -- 5 {{\varvec \upalpha}} -Convergence of Filters -- 6 Relations Among Nets, Ideals, Filters -- 7 Applications of {{\varvec \upalpha}} -Convergence Theory of Nets -- References -- Feature Selection Optimization Based on Atomic Set and Genetic Algorithm in Software Product Line -- Abstract -- 1 Introduction -- 2 Basic Concept -- 2.1 Feature Models -- 2.2 Atomic Sets -- 3 Atomic Sets Computation -- 4 Genetic Algorithm for Feature Selection Optimization -- 4.1 Initial Population -- 4.2 Fitness Function. , 4.3 Crossover Operation -- 4.4 Selection Operation -- 4.5 Mutation Operation -- 4.6 The Flow Diagram of Genetic Algorithm -- 5 Experiment and Analysis -- 5.1 Test Model -- 5.2 Experiment Result and Analysis -- 5.2.1 The Simulation Results of Atomic Set -- 5.2.2 The Simulation Results of Genetic Algorithm -- 6 Related Work -- 7 Conclusion -- Acknowledgments -- References -- Product Configuration based on Feature Model -- Abstract -- 1 Introduction -- 2 Configuration Architecture Model -- 3 Feature Modeling -- 3.1 Feature Diagram -- 3.1.1 Basic Feature Diagram -- 3.1.2 Cardinality-Based Feature Diagram -- 3.2 Constraints -- 3.2.1 Boolean Constraints -- 3.2.2 Non-Boolean Constraints -- 4 Automated Support -- 4.1 SAT -- 4.2 BDD -- 4.3 CSP -- 5 Feature Selection -- 5.1 Non-collaborative Configuration -- 5.2 Collaborative Configuration -- 6 Conclusion -- Acknowledgments -- References -- Research on Fast Browsing for Massive Image -- Abstract -- 1 Introduction -- 2 Distributed Computing and Image Pyramid -- 2.1 Distributed Computing -- 2.2 MapReduce -- 2.3 Image Pyramid -- 3 MapReduce Model for Massive Image -- 3.1 Data Blocking Prepared for MapReduce -- 3.2 MapReduce Image Model -- 4 Experiment -- 4.1 Experimental Data and Equipment -- 4.2 Experimental Result -- Acknowledgments -- References -- RVM for Recognition of QRS Complexes in Electrocardiogram -- Abstract -- 1 Introduction -- 2 RVM Classifier -- 3 QRS Detection -- 4 Implementation and Performance Evaluation -- 5 Conclusions -- Acknowledgments -- The Architecture of the RFID-Based Intelligent Parking System -- Abstract -- 1 Introduction -- 2 The Research Status of the Intelligent Parking System -- 3 The Overall Configuration of the System -- 3.1 The Basic Flow of the Intelligent Parking System -- 3.1.1 The Parking Process of the Vehicle with Legal e-tag. , 3.1.2 The Parking Process of the Vehicle Without Legal e-tag -- 3.1.3 The Parking Process of the Vehicle Without Enough Electronic Balance -- 3.2 The Design of the Intelligent Parking Management System -- 3.3 The Basic Requirements for the Intelligent Parking System -- 4 Summary -- References -- A Review of Cognitive Psychology Applied in Robotics -- Abstract -- 1 Introduction -- 2 Robot Affective Computing and Interaction -- 2.1 Emotion Recognition -- 2.2 Affective Modeling -- 2.3 Emotion Expression -- 3 Application of Robot Cognition -- 3.1 Robot Autism Intervention -- 3.2 Robot Education -- 3.3 Household and Nursing Robot -- 4 Conclusion and Prospect -- Acknowledgments -- References -- Robot Vision Navigation Based on Improved ORB Algorithm -- Abstract -- 1 Introduction -- 2 Improved ORB Algorithm -- 2.1 Extreme Points in Scale Space Detection -- 2.2 Extract Stable Feature Points -- 3 Visual Navigation Method -- 4 Experimental Results -- 5 Conclusion -- References -- An Improved Multi-label Relief Feature Selection Algorithm for Unbalanced Datasets -- Abstract -- 1 Introduction -- 2 ReliefF Algorithm -- 3 UBML-ReliefF Algorithm -- 4 Experiment -- 4.1 Datasets -- 4.2 Performance Evaluation Index -- 4.3 Experiment and Results Analysis -- 5 Conclusion -- Acknowledgements -- References -- Area Topic Model -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Area-LDA Topic Model -- 3.1 Overall Design of Area-LDA -- 3.2 Process of Estimator -- 4 Experiments -- 4.1 Dataset -- 4.2 Experiment Settings -- 4.3 Experimental Restuls -- 5 Conclusions -- References -- Predicting Popularity of Topic Based on Similarity Relation and Co-occurrence Relation -- Abstract -- 1 Introduction -- 2 The SCW Method for Prediction of Topic Popularity -- 2.1 Definition -- 2.2 The Description of Topic Popularity -- 2.3 The Analysis of Similarity Relation. , 2.4 The Analysis of Co-occurrence Relation.

Note: Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Authors -- Chapter 1: Introduction to Environmental Measurements -- 1.1 Role of Measurement in Environmental Studies -- 1.1.1 Units of Measurement -- 1.1.2 Conversions between Units -- 1.1.3 Significant Figures -- 1.2 Pollutants: Sources and Measurements -- 1.2.1 Classes of Environmental Contaminants -- 1.2.1.1 Products of Combustion -- 1.2.1.2 Industrial Emissions -- 1.2.1.3 Other Sources of Environmental Contamination -- 1.2.2 Regulating the Environment -- 1.3 Design of Environmental Studies -- 1.3.1 Sampling and Analysis -- 1.4 Basic Statistical Data Handling -- 1.4.1 Errors in Quantitative Analysis -- 1.4.2 Statistics of Repeated Measurements: Precision -- 1.4.2.1 Precision and Standard Deviation -- 1.4.3 Distribution of Error -- 1.4.4 Confidence Interval and the t-Distribution -- 1.4.4.1 Estimation of Mean from Several Sets of Measurements -- 1.4.4.2 Estimation of Standard Deviation from Several Sets of Measurements -- 1.5 Significance Tests -- 1.5.1 Hypothesis Testing -- 1.5.1.1 Comparison between a Measured and a Known Value -- 1.5.1.2 Comparison of the Mean of Two Samples -- 1.5.1.3 Comparison of Standard Deviations Using the F-Test -- 1.5.2 Outliers -- 1.5.2.1 Rule of the Huge Error -- 1.5.2.2 Dixon Test for Rejection of Outliers -- 1.5.3 Reporting Data -- 1.6 Standards and Calibration -- 1.6.1 Calibration Methods -- 1.6.2 Standard Addition Method -- 1.7 Performance of Analytical Methods: Figures of Merit -- 1.7.1 Sensitivity -- 1.7.2 Detection Limit -- 1.7.3 Range of Quantitation -- 1.7.4 Validation of New Methods -- Study Questions -- Chapter 2: Environmental Sampling -- 2.1 The Sampling Plan -- 2.1.1 Spatial and Temporal Variability -- 2.1.2 Development of the Plan -- 2.1.3 Sampling Strategies -- 2.1.3.1 Systematic Sampling. , 2.1.3.2 Random Sampling -- 2.1.3.3 Judgmental Sampling -- 2.1.3.4 Stratified Sampling -- 2.1.3.5 Haphazard Sampling -- 2.1.3.6 Continuous Monitoring -- 2.2 Types of Samples -- 2.3 Sampling and Analysis -- 2.3.1 Samples in the Laboratory -- 2.4 Statistical Aspects of Sampling -- 2.5 Water Sampling -- 2.5.1 Surface Water Sampling -- 2.5.2 Ground Water Well Sampling -- 2.6 Biological Tissue Sampling -- 2.7 Soil Sampling -- 2.8 Sampling Stratified Levels in Containers -- 2.9 Preservation of Samples -- 2.9.1 Volatilization -- 2.9.2 Choice of Proper Containers -- 2.9.3 Absorption of Gases from the Atmosphere -- 2.9.4 Chemical Changes -- 2.9.5 Sample Preservation for Soil, Sludges, and Hazardous Wastes -- Study Questions -- Chapter 3: Spectroscopic Methods -- 3.1 Spectroscopic Methods for Environmental Analysis -- 3.1.1 Properties of Electromagnetic Radiation -- 3.1.2 The Electromagnetic Spectrum -- 3.1.3 Radiation and Matter -- 3.2 Absorption Spectroscopy -- 3.2.1 Beer's Law -- 3.3 Emission Spectroscopy -- 3.3.1 Fluorescence -- 3.3.2 Atomic Emission -- 3.4 Spectroscopic Apparatus -- 3.4.1 Light Sources -- 3.4.2 Wavelength Selection -- 3.4.2.1 Filters -- 3.4.2.2 Monochromators -- 3.4.3 Detectors -- 3.5 Ultraviolet and Visible Absorption Spectroscopy -- 3.5.1 UV and Visible Instrumentation -- 3.5.1.1 Light Sources -- 3.5.1.2 UV-Vis Detectors -- 3.5.1.3 Ultraviolet: Visible Spectroscopy Samples -- 3.5.2 Colorimetry -- 3.6 Infrared Spectroscopy -- 3.6.1 Scanning Infrared Instrumentation -- 3.6.1.1 IR Sources -- 3.6.1.2 Infrared Monochromators -- 3.6.2 Fourier Transform Infrared Spectrometry -- 3.6.2.1 Advantages of FTIR -- 3.6.2.2 Samples for Infrared Spectroscopy -- 3.7 Atomic Absorption Spectroscopy -- 3.7.1 Flame Atomic Absorbance Spectroscopy -- 3.7.2 Graphite Furnace Atomic Absorption Spectrometry -- 3.7.3 Interferences in Atomic Absorption. , 3.7.3.1 Spectral Interference -- 3.7.3.2 Chemical Interference -- 3.7.3.3 Ionization Interference -- 3.7.3.4 Background Correction in Atomic Absorption Spectrometry -- 3.8 Inductively Coupled Plasma Emission Spectroscopy -- 3.8.1 Comparison of Atomic Spectroscopic Methods -- 3.9 X-Ray Fluorescence -- 3.9.1 Wavelength-Dispersive XRF versus Energy-Dispersive XRF -- 3.9.2 X-Ray Instrumentation -- 3.9.2.1 Sources -- 3.9.2.2 X-Ray Detectors -- 3.9.2.3 X-Ray Fluorescence Samples -- 3.10 Hyphenated Spectroscopic Methods -- Study Questions -- Chapter 4: Chromatographic Methods -- 4.1 Principles of Chromatography -- 4.1.1 Column Efficiency -- 4.1.2 The General Elution Problem -- 4.2 Quantitation in Chromatography -- 4.2.1 External Standard Method -- 4.2.2 The Internal Standard Method -- 4.3 Gas Chromatography -- 4.3.1 Injection Devices -- 4.3.2 Columns -- 4.3.2.1 Packed Columns -- 4.3.2.2 Open Tubular Columns -- 4.3.2.3 Column Temperature -- 4.4 GC Detectors -- 4.4.1 Thermal Conductivity Detector -- 4.4.2 Flame Ionization Detector -- 4.4.3 Electron Capture Detector -- 4.4.4 Photoionization Detector -- 4.4.5 Flame Photometric Detector -- 4.4.6 Pulsed Flame Photometric Detector -- 4.4.7 Thermionic or Nitrogen-Phosphorous Detector -- 4.4.8 Pulsed Discharge Detector -- 4.4.9 Mass Selective Detector -- 4.4.10 Comparison of Detectors -- 4.5 High-Performance Liquid Chromatography -- 4.5.1 Reverse Phase Liquid Chromatography -- 4.5.2 Normal Phase Liquid Chromatography -- 4.6 HPLC Instrumentation -- 4.6.1 Solvent Delivery Systems -- 4.6.2 Solvent Gradient Systems -- 4.6.3 Sample Injectors -- 4.6.4 HPLC Columns -- 4.6.4.1 Precolumns and Guard Columns -- 4.6.4.2 Analytical Columns -- 4.6.4.3 Eluents -- 4.7 HPLC Detectors -- 4.7.1 UV Absorption Detectors -- 4.7.2 Fluorescence Detectors -- 4.7.3 Evaporative Light Scattering Detector -- 4.7.4 Mass Spectrometric Detection. , 4.8 Ion Chromatography -- 4.9 Supercritical Fluid Chromatography -- 4.9.1 SFC Instrumentation -- 4.10 Applications of Chromatography in Environmental Analysis -- Study Questions -- Chapter 5: Mass Spectrometry -- 5.1 Interpretation of Spectra -- 5.2 Basic Instrumentation -- 5.2.1 Vacuum System -- 5.2.2 Inlet -- 5.3 Ion Sources -- 5.3.1 Electron Impact Ionization -- 5.3.2 Chemical Ionization -- 5.3.3 Atmospheric Pressure Ionization Sources -- 5.3.4 Proton Transfer Reaction MS -- 5.4 Mass Analyzers -- 5.4.1 Quadrupole Mass Analyzer -- 5.4.2 Magnetic Sector Mass Analyzer -- 5.4.3 The Ion Trap Mass Analyzer -- 5.5 Ion Detectors -- 5.6 Gas Chromatography MS -- 5.7 Liquid Chromatography MS -- 5.8 Inductively Coupled Plasma MS -- 5.9 Data Collection -- 5.10 Library Searching Techniques -- Study Questions -- Chapter 6: Sample Preparation Techniques -- 6.1 Extraction of Organic Analytes from Liquid Samples -- 6.1.1 Liquid-Liquid Extraction -- 6.1.1.1 Successive Extractions -- 6.1.1.2 Instrumentation for LLE -- 6.1.1.3 Continuous LLE -- 6.1.2 Solid-Phase Extraction -- 6.1.2.1 The SPE Process -- 6.1.2.2 Advantages of SPE -- 6.1.3 Solid-Phase Microextraction -- 6.2 Extraction of Organic Analytes from Solid Samples -- 6.2.1 Soxhlet Extraction -- 6.2.2 Accelerated Solvent Extraction -- 6.2.3 Ultrasonic Extraction of Organics -- 6.2.4 Supercritical Fluid Extraction -- 6.2.4.1 Instrumentation -- 6.2.4.2 Choosing SFE Conditions -- 6.2.4.3 Advantages of SFE -- 6.3 Post-Extraction Procedures -- 6.3.1 Concentration of Sample Extracts -- 6.3.2 Sample Cleanup -- 6.4 Extraction of Metals from Sample Matrices -- 6.4.1 Acid Digestion of Samples for Determination of Metals -- 6.4.2 Extraction Procedures -- 6.4.3 Microwave Digestion -- 6.4.4 Ultrasonic Extraction -- 6.4.5 Organic Extraction of Metals -- 6.4.5.1 Formation of Metal Chelates. , 6.5 Speciation of Metals in Environmental Samples -- Study Questions -- Chapter 7: Chemical Methods -- 7.1 Types of Chemical Reactions -- 7.1.1 Precipitation -- 7.1.2 Complexation and Chelation Reactions -- 7.1.3 Oxidation/Reduction Reactions -- 7.1.4 Derivatization Reactions -- 7.1.4.1 Alkylation and Acylation -- 7.1.4.2 Sylilation -- 7.1.4.3 Diazotization -- 7.1.4.4 Selection of Derivatizing Reagent -- 7.2 Wet Methods -- 7.2.1 Titrations -- 7.2.2 Titration Calculations -- 7.2.3 Types of Titrations -- 7.3 Colorimetric Methods -- 7.3.1 Colorimetric Indicating Tubes for Air Pollutants -- Study Questions -- Suggested Reading -- Chapter 8: Electrochemical Methods -- 8.1 Potentiometric Measurements -- 8.1.1 pH Measurement -- 8.1.2 Other Specific Ion Electrodes -- 8.2 Determination of Metals by Voltammetry -- Study Questions -- Chapter 9: Radiochemical Methods -- 9.1 Units of Measurement -- 9.2 Instruments for Measuring Radioactivity -- 9.2.1 Gas: Flow Proportional Counters -- 9.2.2 Alpha Scintillation Counter -- 9.2.3 Liquid Scintillation Counters -- 9.2.4 Alpha Spectrometers -- 9.2.5 Gamma Spectrometers -- 9.3 Determination of Gross Alpha and Gross Beta Radioactivity -- 9.3.1 Evaporation Method -- 9.3.1.1 Gross Activity of the Sample -- 9.3.1.2 Activity of Dissolved and Suspended Matter -- 9.3.1.3 Activity of Semisolid Samples -- 9.3.2 Coprecipitation Method for Gross Alpha Activity -- 9.4 Measurement of Specific Radionuclides -- 9.4.1 Radium -- 9.4.1.1 Precipitation Method and Alpha Counting -- 9.4.1.2 Precipitation and Emanation Method to Measure Radium as Radon-222 -- 9.4.1.3 Sequential Precipitation Method -- 9.4.1.4 Measurement of Radium-224 by Gamma Spectroscopy -- 9.4.2 Radon -- 9.4.3 Uranium -- 9.4.3.1 Determination of Total Alpha Activity -- 9.4.3.2 Determination of Isotopic Content of Uranium Alpha Activity -- 9.4.4 Radioactive Strontium. , 9.4.5 Tritium.

Note: Intro -- Preface -- Editorial -- Contents -- About the Editors -- Digital Business Transformation -- Towards Algorithmic Business: A Paradigm Shift in Digital Business -- 1 Introduction -- 2 Emergence of Algorithms in Business -- 3 Digital to Algorithmic Transformation -- 4 Deployment Strategies of IoT -- 5 Business Algorithms -- 5.1 Google's Algorithms -- 5.2 Amazon's Algorithm -- 5.3 Face Book's News Feed Algorithm -- 6 Applications -- 6.1 Manufacturing Industries -- 6.2 Health Care Industries -- 6.3 Smart Products -- 6.4 Retail and E-Commerce Industries -- 6.5 Smart Cities -- 6.6 Education Industries -- 6.7 Airline Industry -- 6.8 Human Resources -- 6.9 Transportation -- 6.10 Stock Trading -- 7 Challenges -- 8 Conclusion -- References -- A Decentralized Business Ecosystem Model for Complex Products -- 1 Introduction -- 2 Background and Methodology -- 2.1 Business Ecosystems -- 2.2 Methodology -- 3 Overall Objectives -- 3.1 Complex Product Scenarios -- 3.2 Business Goals -- 3.3 Requirements -- 4 Related Work -- 5 Outlining a Decentralized Business Ecosystem for Complex Products -- 5.1 Model and Concept -- 5.2 Ecosystem Structure -- 6 Ecosystem Architecture -- 6.1 High-Level Overview -- 6.2 Peer Application -- 6.3 Decentralized Market Space (DMS) -- 6.4 Inner Workings: Transaction Process for Complex Products -- 6.5 Demonstrator -- 7 Conclusions and Outlook -- References -- Compliance Management in Business Processes -- 1 Introduction or Overview -- 2 Compliance Management-Concepts and Terminology -- 3 Case Study -- 4 The Compliance Management Lifecycle -- 4.1 Elicitation -- 4.2 Formalization (Specification) -- 4.3 Implementation -- 4.4 Supervision -- 4.5 Improvement -- 5 Compliance Monitoring Functionalities (CMFs) -- 6 Challenges -- 7 Conclusion -- References -- Cloud Computing. , Sustainable Cloud Computing Realization for Different Applications: A Manifesto -- 1 Introduction -- 2 Sustainable Cloud Computing: Architecture -- 3 State-of-the-Art: Application Management -- 4 Taxonomy of Application Management for Sustainable Cloud Computing -- 4.1 QoS Parameter -- 4.2 Application Parameters -- 4.3 Application Scheduling -- 4.4 Application Category -- 4.5 Application Domain -- 4.6 Resource Administration -- 4.7 Coordination -- 4.8 Application Model -- 5 Gap Analysis and Future Research Directions -- 5.1 Application Modeling -- 5.2 Resource Management -- 5.3 Energy Efficiency -- 5.4 Reliability and Fault Tolerance -- 5.5 Security and Privacy -- 5.6 Scalability -- 5.7 Latency -- 5.8 Data Management -- 5.9 Auditing -- 5.10 New Technological Developments -- 6 Summary and Conclusions -- References -- Auction Based Scheme for Resource Allotment in Cloud Computing -- 1 Introduction -- 2 Related Work -- 2.1 A Taxonomy of Market Technical Aspects -- 2.2 Auction Theory -- 3 Market-Based Resource Management Model -- 4 Objective and Design of Proposed Algorithm -- 4.1 Architecture of Cloud -- 4.2 Proposed Resource Allocation Algorithm -- 4.3 Simulation Parameters -- 5 Result and Discussion -- 6 Conclusion -- Appendix: Flow Chart of the Proposed Auction Algorithm -- References -- M-Cloud Computing Based Agriculture Management System -- 1 Introduction -- 2 Problem in Agriculture -- 2.1 Linkage Problems -- 2.2 Weather Information -- 2.3 Transportation and Infrastructure -- 2.4 Agriculture Marketing -- 2.5 Credit Facilities -- 2.6 Storage of Food Grains -- 3 Cloud Computing -- 4 Agriculture with M-Cloud Computing -- 4.1 Crop Disease Identification Management -- 4.2 Smarter Agricultural Practices -- 4.3 Supporting Vegetable and Crop Production -- 5 M-Cloud Computing with Big Data -- 6 Advantages of M-Cloud Computing in Agriculture -- 7 Conclusion. , References -- IOT & -- Mobility -- Detection and Analysis of Drowsiness in Human Beings Using Multimodal Signals -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Databases -- 3.2 Drowsiness Detection -- 3.3 EEG Signal Classification -- 3.4 SVM Classifier -- 3.5 Yawning Detection -- 4 Results and Conclusion -- 4.1 Using EEG Signals -- 4.2 Using Video Signals -- 5 Conclusion -- References -- Enhancing Security and Privacy in Enterprises Network by Using Biometrics Technologies -- 1 Introduction -- 2 Inter-entreprises Cooperation -- 3 Interest of Business Networks -- 3.1 Business Networks and Internet Worldwide -- 3.2 Sensitive Business Information -- 4 Information Security and Privacy -- 4.1 Cryptography Process -- 4.2 Biometrics Process -- 4.3 Crypto-Biometric Security System -- 5 Crypto-Biometric Based EN Security -- 6 Proposed Security Solution for Enterprises Information -- 6.1 Preliminary -- 6.2 Encryption and Key Embedded Process -- 6.3 Decryption and Key Retrieval Process -- 7 Experimental Setup -- 8 Security Analysis -- 8.1 Unimodal Biometric Cryptosystem -- 8.2 Multimodal Biometric Cryptosystem -- 9 Conclusion and Further Works -- References -- Lightweight Context-Based Web-Service Composition Model for Mobile Devices -- 1 Introduction -- 2 Related Work -- 3 Overview -- 3.1 Parts of Speech (POS) Tagging -- 3.2 Markov Chain Probabilistic Model -- 3.3 Trie Data Structure -- 4 Methodology and Implementation -- 4.1 Get Natural Language Query from the User -- 4.2 Preparing the Corpus -- 4.3 Framing Sample Sentences -- 4.4 Using Markov Chain Probabilistic Model -- 4.5 Identifying Service Names from the Sentence -- 4.6 API's and Libraries Used in Web Service -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- On Weighted Extended Cumulative Residual Entropy of k-th Upper Record -- 1 Introduction. , 2 WECREn and Its Dynamic Form -- 3 Characterization Results -- 4 Empirical Approach -- 5 Conclusion and Future Work -- References -- Impact of Mobility in IoT Devices for Healthcare -- 1 Introduction -- 1.1 Research Description -- 1.2 Extent amp Objectives of the Research -- 1.3 Significance of the Research -- 1.4 Applications of the Research -- 2 Literature Survey -- 3 Problem Statement for Impacts of Mobility in IoT Devices for Healthcare -- 3.1 Difficulties Which Impact of Mobility in IOT Devices for Healthcare Sector -- 3.2 Existing System Scenarios -- 3.3 Disadvantages of Existing System -- 3.4 Proposed System -- 3.5 Advantages of Proposed System -- 4 System Security Standards -- 5 Security Healthcare Challenges -- 6 Mobility Issues -- 7 System Design -- 8 Performance Analysis -- 9 Disadvantages in Traditional Method -- 10 Conclusion -- 11 Future Work -- Bibliography -- Multiple Mobile Elements Based Energy Efficient Data Gathering Technique in Wireless Sensor Networks -- 1 Introduction -- 2 Related Work -- 3 Practical Understanding of Unresolved Issues -- 3.1 Motivation -- 4 Proposed Solution -- 4.1 Overview of the Proposed Work EEDGMME -- 4.2 Detailed Explanation of Inclusive Algorithms -- 5 Simulation Experiments -- 5.1 Simulation Model for EEDG and EEDGMME Techniques -- 5.2 Performance Metrics -- 5.3 Performance Analysis of EEDGMME and EEDG Techniques -- 5.4 Comparative Performance Analysis -- 6 Conclusion and Future Work -- References -- Information Management & -- Social Media -- Online Social Communities -- 1 Introduction -- 2 Types of Social Communities -- 3 Evolution of Technology for ONSC -- 4 Online Social Community -- 4.1 Pre-requisite for ONSC -- 4.2 Types of ONSC -- 5 Online Social Community Management -- 5.1 User Acquisition Factor -- 5.2 User Engagement Factor -- 5.3 User Retention Factors -- 5.4 ONSC and User's Perspective. , 5.5 Recommender Systems from ONSC -- 5.6 ONSC User Engagement Tools -- 6 ONSC Structure Detection -- 6.1 Detection of Communities in Static Networks -- 6.2 Detection of Communities in Dynamic Networks -- 7 Applications -- 8 Conclusion -- References -- The 'Verticals', 'Horizontals', and 'Diagonals' in Organisational Communication: Developing Models to Mitigate Communication Barriers Through Social Media Applications -- 1 Introduction -- 2 Review of Literature -- 2.1 History of Communication Skills -- 2.2 New Capitalism: Services Sector and Linguistic Requirements -- 2.3 Rhetorics of Communication and Workplace Demands -- 3 Communication Model and the Channels: A Brief Review -- 3.1 The Model of Communication -- 3.2 Communication Flows -- 3.3 Barriers to Communication -- 4 New Technologies for Communication -- 4.1 Technologisation of Communication -- 4.2 Capitalising Social Tools as an Organisational Discourse -- 5 Social Tools -- 6 Conclusion: Scope, Limitations, and Future Directions -- References -- Subjective Interestingness in Association Rule Mining: A Theoretical Analysis -- 1 Introduction -- 2 Knowledge Discovery in Databases -- 2.1 Association Rule Mining -- 3 Interestingness -- 3.1 Objective Interestingness -- 3.2 Subjective Interestingness -- 4 Classification Framework for Subjective Interestingness -- 5 Discussion and Conclusions -- References -- Identifying Sentiment of Malayalam Tweets Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Support Vector Machines -- 3.2 Random Mapping: Random Kitchen Sink Method -- 3.3 Regularized Least Square Method for Classification (RLSC) -- 3.4 Deep Learning Methods-CNN, LSTM -- 4 Experimental Setup -- 4.1 Dataset Description -- 4.2 Preprocessing -- 4.3 Models -- 4.4 Evaluation -- 5 Result and Analysis -- 6 Conclusion -- References. , Twitter Based Sentiment Analysis of GST Implementation by Indian Government.

Note: Intro -- Preface -- Contents -- Contributors -- Members of Review Board -- The Nature of Nature: Why Nature-Inspired Algorithms Work -- 1 Introduction: How Nature Works -- 2 The Nature of Nature -- 2.1 Fitness Landscape -- 2.2 Graphs and Phase Changes -- 3 Nature-Inspired Algorithms -- 3.1 Genetic Algorithm -- 3.2 Ant Colony Optimization -- 3.3 Simulated Annealing -- 3.4 Convergence -- 4 Dual-Phase Evolution -- 4.1 Theory -- 4.2 GA -- 4.3 Ant Colony Optimization -- 4.4 Simulated Annealing -- 5 Evolutionary Dynamics -- 5.1 Markov Chain Models -- 5.2 The Replicator Equation -- 6 Generalized Local Search Machines -- 6.1 The Model -- 6.2 SA -- 6.3 GA -- 6.4 ACO -- 6.5 Discussion -- 7 Conclusion -- References -- Multimodal Function Optimization Using an Improved Bat Algorithm in Noise-Free and Noisy Environments -- 1 Introduction -- 2 Improved Bat Algorithm -- 3 IBA for Multimodal Problems -- 3.1 Parameter Settings -- 3.2 Test Functions -- 3.3 Numerical Results -- 4 Performance Comparison of IBA with Other Algorithms -- 5 IBA Performance in AWGN -- 5.1 Numerical Results -- 6 Conclusions -- References -- Multi-objective Ant Colony Optimisation in Wireless Sensor Networks -- 1 Introduction -- 2 Multi-objective Combinatorial Optimisation Problems -- 2.1 Combinatorial Optimisation Problems -- 2.2 Multi-objective Combinatorial Optimisation Problems -- 2.3 Pareto Optimality -- 2.4 Decision-Making -- 2.5 Solving Combinatorial Optimisation Problems -- 3 Multi-objective Ant Colony Optimisation -- 3.1 Origins -- 3.2 Multi-objective Ant Colony Optimisation -- 4 Applications of MOACO Algorithms in WSNs -- 5 Conclusion -- References -- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence -- 1 Introduction -- 2 Artificial Sports Trainer -- 3 Generating the Training Plans -- 3.1 Preprocessing -- 3.2 Optimization Process. , 4 Experiments -- 5 Conclusion with Future Ideas -- References -- Limiting Distribution and Mixing Time for Genetic Algorithms -- 1 Introduction -- 2 Preliminaries -- 2.1 Random Search and Markov Chains -- 2.2 Boltzmann Distribution and Simulated Annealing -- 3 Expected Hitting Time as a Means of Comparison -- 3.1 ``No Free Lunch'' Considerations -- 4 The Holland Genetic Algorithm -- 5 A Simple Genetic Algorithm -- 6 Shuffle-Bit GA -- 6.1 Results -- 6.2 Estimate of Expected Hitting Time -- 7 Discussion and Future Work -- References -- Permutation Problems, Genetic Algorithms, and Dynamic Representations -- 1 Introduction -- 2 Problem Descriptions -- 2.1 Bin Packing Problem -- 2.2 Graph Colouring Problem -- 2.3 Travelling Salesman Problem -- 3 Previous Work on Small Travelling Salesman Problem Instances -- 4 Algorithms -- 4.1 2-Opt -- 4.2 Lin--Kernighan -- 4.3 Genetic Algorithm Variations -- 4.4 Representation -- 5 Experimental Design -- 5.1 Bin Packing Problem -- 5.2 Graph Colouring Problem -- 5.3 Travelling Salesman Problem -- 6 Results and Discussion -- 6.1 Bin Packing Problem -- 6.2 Graph Colouring Problem -- 6.3 Travelling Salesman Problem -- 7 Conclusions -- References -- Hybridization of the Flower Pollination Algorithm---A Case Study in the Problem of Generating Healthy Nutritional Meals for Older Adults -- 1 Introduction -- 2 Background -- 2.1 Optimization Problems -- 2.2 Meta-Heuristic Algorithms -- 3 Literature Review -- 4 Problem Definition -- 4.1 Search Space and Solution Representation -- 4.2 Fitness Function -- 4.3 Constraints -- 5 Hybridizing the Flower Pollination Algorithm for Generating Personalized Menu Recommendations -- 5.1 Hybrid Flower Pollination-Based Model -- 5.2 Flower Pollination-Based Algorithms for Generating Personalized Menu Recommendations. , 5.3 The Iterative Stage of the Hybrid Flower Pollination-Based Algorithm for Generating Healthy Menu Recommendations -- 6 Performance Evaluation -- 6.1 Experimental Prototype -- 6.2 Test Scenarios -- 6.3 Setting the Optimal Values of the Algorithms' Adjustable Parameters -- 6.4 Comparison Between the Classical and Hybrid Flower Pollination-Based Algorithms -- 7 Conclusions -- References -- Nature-inspired Algorithm-based Optimization for Beamforming of Linear Antenna Array System -- 1 Introduction -- 2 Problem Formulation -- 3 Flower Pollination Algorithm [55] -- 3.1 Global Pollination: -- 3.2 Local Pollination: -- 3.3 Pseudo-code for FPA: -- 4 Simulation Results -- 4.1 Optimization of Hyper-Beam by Using FPA -- 4.2 Comparisons of Accuracies Based on t test -- 5 Convergence Characteristics of Different Algorithms -- 6 Conclusion -- 7 Future Research Topics -- References -- Multi-Agent Optimization of Resource-Constrained Project Scheduling Problem Using Nature-Inspired Computing -- 1 Introduction -- 1.1 Multi-agent System -- 1.2 Scheduling -- 1.3 Nature-Inspired Computing -- 2 Resource-Constrained Project Scheduling Problem -- 3 Various Nature-Inspired Computation Techniques for RCPSP -- 3.1 Particle Swarm Optimization (PSO) -- 3.2 Particle Swarm Optimization (PSO) for RCPSP -- 3.3 Ant Colony Optimization (ACO) -- 3.4 Ant Colony Optimization (ACO) for RCPSP -- 3.5 Shuffled Frog-Leaping Algorithm (SFLA) -- 3.6 Shuffled Frog-Leaping Algorithm (SFLA) for RCPSP -- 3.7 Multi-objective Invasive Weed Optimization -- 3.8 Multi-objective Invasive Weed Optimization for MRCPSP -- 3.9 Discrete Flower Pollination -- 3.10 Discrete Flower Pollination for RCPSP -- 3.11 Discrete Cuckoo Search -- 3.12 Discrete Cuckoo Search for RCPSP -- 3.13 Multi-agent Optimization Algorithm (MAOA) -- 4 Proposed Approach -- 4.1 RCPSP for Retail Industry. , 4.2 Cooperative Hunting Behaviour of Lion Pride -- 5 A Lion Pride-Inspired Multi-Agent System-Based Approach for RCPSP -- 6 Conclusion -- References -- Application of Learning Classifier Systems to Gene Expression Analysis in Synthetic Biology -- 1 Introduction -- 2 Learning Classifier Systems: Creating Rules that Describe Systems -- 2.1 Basic Components -- 2.2 Michigan- and Pittsburgh-style LCS -- 3 Examples of LCS -- 3.1 Minimal Classifier Systems -- 3.2 Zeroth-level Classifier Systems -- 3.3 Extended Classifier Systems -- 4 Synthetic Biology: Designing Biological Systems -- 4.1 The Synthetic Biology Design Cycle -- 4.2 Basic Biological Parts -- 4.3 DNA Construction -- 4.4 Future Applications -- 5 Gene Expression Analysis with LCS -- 6 Optimization of Artificial Operon Structure -- 7 Optimization of Artificial Operon Construction by Machine Learning -- 7.1 Introduction -- 7.2 Artificial Operon Model -- 7.3 Experimental Framework -- 7.4 Results -- 7.5 Conclusion -- 8 Summary -- References -- Ant Colony Optimization for Semantic Searching of Distributed Dynamic Multiclass Resources -- 1 Introduction -- 2 P2p Search Strategies -- 3 Nature-Inspired Ant Colony Optimization -- 4 Nature-Inspired Strategies in Dynamic Networks -- 4.1 Network Dynamism Inefficiency -- 4.2 Solution Framework -- 4.3 Experimental Evaluation -- 5 Nature-Inspired Strategies of Semantic Nature -- 5.1 Semantic Query Inefficiency -- 5.2 Solution Framework -- 5.3 Experimental Evaluation -- 6 Conclusions and Future Developments -- References -- Adaptive Virtual Topology Control Based on Attractor Selection -- 1 Introduction -- 2 Related Work -- 3 Attractor Selection -- 3.1 Concept of Attractor Selection -- 3.2 Cell Model -- 3.3 Mathematical Model of Attractor Selection -- 4 Virtual Topology Control Based on Attractor Selection -- 4.1 Virtual Topology Control. , 4.2 Overview of Virtual Topology Control Based on Attractor Selection -- 4.3 Dynamics of Virtual Topology Control -- 4.4 Attractor Structure -- 4.5 Dynamic Reconfiguration of Attractor Structure -- 5 Performance Evaluation -- 5.1 Simulation Conditions -- 5.2 Dynamics of Virtual Topology Control Based on Attractor Selection -- 5.3 Adaptability to Node Failures -- 5.4 Effects of Noise Strength -- 5.5 Effects of Activity -- 5.6 Effects of Reconfiguration Methods of Attractor Structure -- 6 Conclusion -- References -- CBO-Based TDR Approach for Wiring Network Diagnosis -- 1 Introduction -- 2 The Proposed TDR-CBO-Based Approach -- 2.1 Problem Formulation -- 2.2 The Forward Model -- 2.3 Colliding Bodies Optimization (CBO) -- 3 Applications and Results -- 3.1 The Y-Shaped Wiring Network -- 3.2 The YY-shaped Wiring Network -- 4 Conclusion -- References -- Morphological Filters: An Inspiration from Natural Geometrical Erosion and Dilation -- 1 Natural Geometrical Inspired Operators -- 2 Mathematical Morphology -- 2.1 Morphological Filters -- 3 Morphological Operators and Set Theory -- 3.1 Sets and Corresponding Operators -- 3.2 Basic Properties for Morphological Operators -- 3.3 Set Dilation and Erosion -- 3.4 A Geometrical Interpretation of Dilation and Erosion Process -- 3.5 Direct Effect of Edges and Borders on the Erosion and Dilation -- 3.6 Closing and Opening -- 3.7 A Historical Review to Definitions and Notations -- 4 Practical Interpretation of Binary Opening and Closing -- 5 Morphological Operators in Grayscale Domain -- 5.1 Basic Morphological Operators in Multivalued Function Domain -- 5.2 Dilation and Erosion of Multivalued Functions -- 5.3 Two Forms of Presentation for Dilation and Erosion Formula -- 6 Opening and Closing of Multivalued Functions. , 7 Interpretation and Intuitive Understanding of Morphological Filters in Multivalued Function Domain.

Note: Intro -- 4th International Conference on Intelligent and Interactive Systems and Applications (IISA2019) -- Editorial -- Acknowledgements -- Contents -- Intelligent Systems -- Recognition of Voiceprint Using Deep Neural Network Combined with Support Vector Machine -- Abstract -- 1 Introduction -- 2 Methods -- 3 Voiceprint Recognition Based on DBN-SVM -- 3.1 Experimental Procedures and Processes -- 3.2 Corpus Description and MFCC Extraction -- 3.3 DBN Training and Deep Feature Extraction -- 3.4 Experimental Result and Analysis -- 4 Conclusion -- Acknowledgments -- References -- Research on Intelligent Patent Classification Scheme Based on Title Analysis -- Abstract -- 1 Introduction -- 2 Topic-Based Patent Classification Scheme -- 2.1 The Process of Topic-Based Patent Classification Scheme -- 2.2 Results and Discussion -- 3 Title Word-Frequency-Based Patent Classification Scheme -- 3.1 The Process of Title Word-Frequency-based Patent Classification Scheme -- 3.2 Results and Discussion -- 4 Conclusions -- References -- Study on Intelligent Recognition Matching and Fusion Interaction Technology of Electrical Equipment Model -- Abstract -- 1 Introduction -- 1.1 Background -- 1.2 Purpose and Significance -- 1.3 Overseas Research Levels -- 1.4 Domestic Research Levels -- 2 Solutions and Key Technologies -- 2.1 Power Equipment Model Identification -- 2.2 Panoramic Model and Background Real-Time Monitoring Data Fusion Interaction -- 2.3 Physical Device Model Overlay and Virtual Integration -- 2.4 Model Control Interaction -- 3 Conclusion -- Acknowledgments -- References -- Deep Knowledge Tracing Based on Bayesian Neural Network -- Abstract -- 1 Introduction -- 2 Related Works -- 3 BDKT -- 3.1 BDKT Input Data -- 3.2 BDKT Model Structure -- 3.3 BDKT Parameter Learning -- 4 Results and Discussion -- 4.1 BDKT Vs DKT. , 4.2 BDKT Parameter Randomness and Model Uncertainty -- 4.3 Relationship Between the Students' Behaviors -- 5 Conclusion -- Acknowledgment -- References -- Co-simulation of Sub-frame of the Intelligent Fire Truck Based on SolidWorks and ANSYS Workbench -- Abstract -- 1 Introduction -- 2 Main Technical Difficulties -- 2.1 The Connection Problem -- 2.2 Contact Settings -- 2.3 Meshing -- 3 Load Loading -- 4 Simulation Results -- 4.1 Static Simulation Without Impact Force -- 4.2 Static Simulation with Impact Force -- 4.3 Modal Analysis of the Overall Structure -- 5 Conclusion -- Acknowledgments -- References -- Design of Framework on Intelligent Simulation and Test Platform for High Power Microwave Sources -- Abstract -- 1 Introduction -- 2 Requirement Analyses -- 2.1 User Requirements -- 2.2 Functional Requirements -- 2.3 Interface Requirements -- 3 Frame Design -- 3.1 Development Language Selection -- 3.2 Design Model -- 3.3 Design Method -- 3.4 Computing Model -- 4 Technical Support -- Acknowledgments -- References -- Design of Intelligent Meter Life Cycle Management System Based on RFID -- Abstract -- 1 Introduction -- 2 Anti-collision Algorithm Processing of RFID Signal -- 3 Composition of the Life Cycle Management System -- 3.1 Cloud Platform Management System -- 3.2 RFID Intelligent Meter Storage System -- 3.3 RFID Smart Meter On-Site Data Copying System -- 4 Design of RFID Electronic Tag Antenna -- 5 Conclusion -- Acknowledgements -- References -- Design of Single-Phase Intelligent Meter Based on RFID Semi Active Technology -- Abstract -- 1 Introduction -- 2 Overall Design of Smart Meter -- 3 Hardware Design of Smart Meter -- 3.1 CPU Module -- 3.2 Metering Module -- 3.3 Communication Module -- 3.4 Clock and Storage Module -- 4 Software Design -- 4.1 Overall Structure of the Software -- 4.2 RFID Interface Design Based on Three-Tier Architecture. , 5 System Debugging -- 6 Conclusion -- Acknowledgements -- References -- Research on Anti-fall Algorithms of Substation Intelligent Inspection Robot -- Abstract -- 1 Introduction -- 2 Design of Inspection Platform -- 3 Ranging Principle of Binocular Camera -- 4 Application Principle of Anti-falling -- 5 Design and Analysis of Algorithms -- 6 Conclusion -- References -- Research and Application of Process Object Modeling Method Based on Deep Learning -- Abstract -- 1 Introduction -- 2 DNN Deep Learning Algorithms -- 3 Modeling of DNN Deep Learning Network -- 3.1 Open-Loop Modeling Method Based on Multiple Inertial Filters -- 3.2 Closed-Loop Modeling Method Based on Two DNN Models -- 4 Conclusion -- References -- Performance Assessment of Smart Electricity Meters Based on Max Margin Bayesian Classifiers -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Feature Selection Based on Genetic Algorithm -- 2.2 Learning Max-Margin Bayesian Classifiers Based on Bagging Ensemble -- 2.3 Selecting Max Margin Bayesian Classifiers Subset Based on Clustering Algorithm -- 3 Experimental Results and Analysis -- 4 Conclusions and Future Works -- References -- Operating Performance Assessment of Smart Meters Based on Bayesian Networks and Convex Evidence Theory -- Abstract -- 1 Introduction -- 2 The Proposed Methodology -- 2.1 Discretization -- 2.2 Training of Bayesian Networks from Historical Data of Smart Electricity Meters -- 2.3 Using the Convex Evidence Theory to Integrate the Assessment Results of Bayesian Networks -- 3 Experimental Results and Analysis -- 4 Conclusions and Future Works -- Acknowledgments -- References -- Research on Object-Oriented Design Defect Detection Method Based on Machine Learning -- Abstract -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Work -- 2 Software Design Defects -- 2.1 Related Concepts -- 2.2 Related Definition. , 3 Design Defect Detection Method -- 3.1 Design Defect Detection -- 3.2 Feature Extraction -- 3.3 Design Defect Classifier Algorithms -- 3.4 Design Defect Detection Algorithms -- 4 Experiment and Evaluation -- 4.1 Experiment -- 4.2 Result Analysis -- Acknowledgments -- References -- Design of Electromagnetic Energy-Saving Intelligent Vehicle -- Abstract -- 1 Introduction -- 2 Principles of Operation -- 3 Test Results -- 4 Conclusion -- Acknowledgments -- References -- New Energy Vehicle Reliability Research by Large Data -- Abstract -- 1 Introduction -- 2 Reliability Analysis Theory -- 3 Acquisition of Automobile Fault Data -- 4 Calculation of Equivalent Fault Number Change Curve of Automobile in Different Mileage Ranges -- 4.1 Establishing the Curve of Vehicle Type Changing with the Number of Mileage Faults -- 4.2 Classification of Fault Hazard Degree -- 4.3 Calculation of Equivalent Fault Number Change Curve of Automobile in Different Mileage Ranges -- 5 Calculation of Reliability Evaluation Index of Vehicle Type -- 6 Establishment of Comprehensive Evaluation Model of Vehicle Type Reliability -- 7 Conclusion -- References -- One-Step Prediction for GM(1,1) with a Sliding Data Window -- Abstract -- 1 Introduction -- 2 The GM(1,1) Model -- 3 Introducing the Sliding Data Window to GM(1,1) -- 4 The Requirements of Data Samples for GM(1,1) -- 5 Experimental Results -- 6 Conclusions -- Acknowledgement -- References -- Evaluation on Well-Canal Combined Irrigation Modes for Cotton Fields in the South of Xinjiang, China Based on an Algorithm of Fuzzy Neutral Network -- Abstract -- 1 Background -- 2 Flow and Steps of the Algorithm -- 2.1 Flow of Algorithm for Fuzzy Neural Network -- 2.2 Steps of the Algorithm -- 3 Mathematical Principles of the Algorithm -- 3.1 Principles of Fuzzy Mathematics and FNN -- 3.2 Fuzzy Function and FNN -- 4 Empirical Analysis. , 4.1 Prediction Image of Training Data Based on FNN Algorithm -- 4.2 Results -- 5 Conclusions -- Acknowledgements -- References -- Grape Downy Mildew On-line Detection Based on Accurate Image Processing Method Preformed on Embedded Ambient Intelligence System -- Abstract -- 1 Introduction -- 2 Intelligent Image Processing -- 2.1 Holistic Methods Organization Chart -- 2.2 Image Processing -- 2.3 Decrease of Disturbance of Leaf Vein -- 3 System Design -- 4 GDM Diagnose, Grading and Preventive Measures -- 5 Conclusion -- Acknowledgments -- References -- An Improved Bisecting K-Means Text Clustering Method -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Data Processing -- 3.1 Corpus Acquisition -- 3.2 Data Extraction Using Word2Vec -- 3.3 Using TF-IDF to Select Feature Word Vector -- 4 The Improved Bisecting K-Means Text Clustering Method -- 4.1 Bisecting K-Means Clustering -- 4.2 Improved Bisecting K-Means Algorithm -- 5 Experimental Results Analysis -- 5.1 Experimental Process -- 5.2 Experimental Results -- 6 Conclusion -- Acknowledgements -- References -- PLC-Based Control System Design of Intelligent and Efficient Multiple Parking Device -- Abstract -- 1 Introduction -- 2 Structure and Principle of Intelligent and High Efficiency Multiple Parking Device -- 3 Design of Control System -- 4 Design of System Hardware -- 5 Design of System Software -- 5.1 The Initialization of System -- 5.2 The Procedure of Storage Car -- 5.3 The Rotation of Motor -- 6 Conclusion -- Acknowledgement -- References -- Sparse Acceleration Algorithm Based on Likelihood Upper Bound -- Abstract -- 1 Introduction -- 2 Acceleration Based on Likelihood Upper Bound Filtering -- 2.1 Sparse Expression Target Tracking -- 2.2 Observation Likelihood Upper Bound -- 2.3 Bounded Particle Resampling -- 3 Experimental Results and Analysis -- 3.1 Experimental Data and Algorithm Description. , 3.2 Evaluation Criteria.