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: 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.