Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

Name: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery | Volume 2
Brand: Springer
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Volume 2

Yong Liu Lipo Wang Liang Zhao Zhengtao Yu(Editor)

Springer (Publisher)

1st Edition

Published on 6. November 2019

XXV, 1119 pages

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978-3-030-32591-6 (ISBN)

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Content

Intro
Preface
Organizing Committee
General Chairs
Program Chairs
Organizing Chairs
Finance Chair
Publication Chairs
Publicity Chairs
Program Committee
Reviewers
Contents
Knowledge Discovery Foundations: Association Rules
Efficient Algorithm for Maximal Biclique Enumeration on Bipartite Graphs
1 Introduction
2 Preliminaries
2.1 Maximal Bicliques
2.2 LCM Algorithm
3 Our Algorithm
3.1 New Implementation Pruning Technique Based on Stack
3.2 Replace the Vertices Label
3.3 Manage Candidate Child Nodes
3.4 Hybrid Algorithm
4 Experiments
5 Conclusions
References
An Efficient Algorithm to Mine High Average-Utility Sequential Patterns
1 Introduction
2 Related Work
3 Preliminaries
4 HAUSPM Algorithm
4.1 The Lexicographic Q-Sequences Tree
4.2 Concatenations
4.3 Pruning Strategies
4.4 The HAUSPM Algorithm
5 Experiments and Evaluation
5.1 Datasets
5.2 Performance Test
6 Conclusion
References
HPM-FSI: A High-Performance Algorithm for Mining Frequent Significance Itemsets
Abstract
1 Introduction
2 Background
2.1 Mining Frequent Significance Itemsets
2.2 Data Structure for Transaction Database
3 The Proposed Algorithms
3.1 Generating Array Contain Co-occurrence Items of Kernel Item
3.2 Generating List NLOOC-Tree
3.3 Algorithm Generating All Frequent Significance Itemsets
3.4 The Algorithm Diagram HPM-FSI
4 Experiments
5 Conclusion
Acknowledgements
References
Knowledge Discovery Foundations: Classification
Bayesian Face Recognition Approach Based on Feature Fusion
1 Introduction
2 Related Work
3 Proposed Method
4 Experiments
5 Conclusion
References
Predictive Model for Brazilian Presidential Election Based on Analysis of Social Media
1 Introduction
2 Related Work
3 Political Scenario and Methodology
4 Mathematical Modeling and Proposed Model
5 Numerical Results
6 Final Considerations
References
On Back-Propagation Network to Early Judgment of Seismic Sequences
Abstract
1 Introduction
2 Seismic Sequence Data Collection and Preprocessing
2.1 Sequence Data Selection and Initial Classification
2.2 Selection of Sequence Single Parameter Criterion
3 Neural Network Model for Early Prediction of Earthquake Types
3.1 BP Neural Network
3.2 BP Neural Network Model Construction
3.3 BP Neural Network Model Implementation
4 The Classification Results
4.1 Examination of Inner Coincidence
4.2 The Test Sample
5 Conclusion and Discussion
Acknowledgement
References
Privacy-Protected KNN Classification Algorithm Based on Negative Database
Abstract
1 Introduction
2 Related Work
3 Preliminaries
3.1 K-Hidden Negative Database Generation Algorithm
3.2 European Distance Calculation Formula on Negative Database
4 Privacy-Protected KNN Classification Algorithm
5 Experiments
5.1 Experiments on the Impact of r
5.2 Experiments on the Impact of P
5.3 Experiments on the Impact of k
6 Conclusion
References
TruRec: An Improved Trust-Based Recommendation in Cross-Domain
1 Introduction
2 Problem Description
3 Proposed Approach
3.1 Generating a Domain-Specific Trust Network
3.2 Construct a Uniform Objective Function
4 Experiment
4.1 Date Set
4.2 Parameter Analysis
4.3 Comparison on Different Approaches
5 Conclusions
References
Knowledge Discovery Foundations: Clustering
Knowledge Matching in Horizontal Collaborative Fuzzy Clustering
Abstract
1 Introduction
2 Related Work
2.1 Horizontal Collaborative Fuzzy c-Means Clustering Algorithm
2.2 Bipartite Graph Matching
3 The Improved Horizontal Collaborative Fuzzy c-Means Clustering Algorithm
3.1 Problem Description
3.2 Knowledge Matching Algorithm
3.3 The Improved Horizontal Collaborative Fuzzy c-Means Clustering Algorithm
4 Experimental Analysis
4.1 Experiment on Artificial Dataset
4.2 Experiment on Real Dataset
5 Conclusion
Acknowledgement
References
KNN-Based Pseudo-supervised RCNN Framework for Text Clustering
1 Introduction
2 RCNN
3 Proposed Method
3.1 Pre-clustering
3.2 KNN Analysis
3.3 RCNN Training
4 Experiment
4.1 Database
4.2 Evaluation Metrics
4.3 Experimental Settings and Results
5 Discussion and Conclusions
References
Clustering Optimization and Evaluation of Campus Network User Behavior Analysis System
Abstract
1 Introduction
2 Literature Review
3 The Improved Clustering Algorithm of User Behavior
4 User Behavior Clustering Analysis and Evaluation
5 Conclusion and Future Work
References
Minkowski Metric Based Soft Subspace Clustering with Different Minkowski Exponent and Feature Weight Exponent
1 Introduction
2 Related Works
3 MSSC with Different Minkowski Exponent and Feature Weight Exponent
3.1 A General Objective Function of MSSC
3.2 An Analysis on the Effect of Minkowski Exponent
4 Experimental Results and Analysis
4.1 Experiment Setup
4.2 The Effects of Feature Weight Exponent
4.3 The Effect of Minkowski Exponent and the Robust Property of FPI-MSSC and AFPI-MSSC
5 Conclusions
References
Knowledge Discovery Foundations: Knowledge Management
Semantic Knowledge Sharing Mechanism Based on Blockchain
Abstract
1 Introduction
2 Semantic Knowledge Sharing Framework Based on Blockchain
2.1 Basic Framework
2.2 Unicom Interaction
2.3 The Global Knowledge Graph Construction Process
3 Semantic Knowledge Sharing Algorithm Based on Block Chain
3.1 Query Transaction Flow
3.2 Smart Contract Design for Trading Processes
4 Experimental Analysis
4.1 Verification Experiment and Result Analysis
4.2 Result Analysis of Comparative Experiment
5 Conclusion
Acknowledgments
References
Semantic Retrieval Based on User Intention Recognition in Engineering Domain
Abstract
1 Introduction
2 The Overall Technical Framework
3 The Glossary Model Construction
4 User Retrieval Intention Recognition Method
4.1 Retrieval Intention Representation
4.2 Recognition of Retrieval Intention
4.3 Word Expansion and Semantic Retrieval
5 Case Analysis and Conclusions
Acknowledgment
References
Path-Based Knowledge Graph Completion Combining Reinforcement Learning with Soft Rules
Abstract
1 Introduction
2 Methodology
2.1 Soft Rules
2.2 Reinforcement Learning Framework
2.3 Training
3 Discussion
3.1 Effectiveness
3.2 Correctness
4 Conclusion
Acknowledgments
References
A Model of Trust Knowledge Based on Trust Relationship and Knowledge Sharing
Abstract
1 Introduction
2 The UETK Model
3 Validation of the UETK Model
4 Conclusion
Acknowledgment
Knowledge Discovery Foundations: Machine Learning and Artificial Intelligence
Mathematical Programming for Piecewise Linear Representation of Discrete Time Series
Abstract
1 Introduction
2 The \ell 1 Trend Filtering
3 The Proposed Model
4 Experiments
4.1 Online Public Opinion Time Series
4.2 Air Quality Time Series
5 Conclusion
Acknowledgements
References
Tag2Vec: Tag Embedding for Top-N Recommendation
1 Introduction
2 Related Work
3 Methodology
3.1 Tag Embedding Based on Representation Learning
3.2 Algorithm Description
4 Experiments
4.1 Datasets
4.2 Baselines
4.3 Evaluation Metrics
4.4 Evaluation
5 Conclusion
References
Enhance Target Features in Real-Time Arbitrary Style Transfer
Abstract
1 Introduction
2 Related Works
3 Proposed Method
3.1 AdaIN Module
3.2 WCT Module
3.3 Architecture
4 Experiments Verification
5 Results Analysis
6 Conclusion and Future Work
References
Cross-Projection for Embedding Translation in Knowledge Graph Completion
Abstract
1 Introduction
2 Our Model
2.1 Relation Conflicts and Effect Transitivity of Triple
2.2 CpTE Model
3 Experiments and Analysis
3.1 Data Sets for Experiment
3.2 Link Prediction
3.3 Triple Classification
4 Conclusions and Future Work
Acknowledgments
References
Topological Data Analysis for Time Series Changing Point Detection
Abstract
1 Introduction
2 Methods
2.1 Time Series Pattern Changing Detection
2.2 Method I: Rips-Filtration of Sliding Windows
2.3 Method II: Piecewise Linear Complex Filtration of Sliding Windows
3 Experimental Results
3.1 Synthetic Time Series
3.2 Real-World Time Series
3.3 Rips-Filtration Applied to the Synthetic Time Series
3.4 Piecewise Linear Filtration Applied to Synthetic Time Series
3.5 Rips-Filtration Applied to Real-World Time Series
3.6 Piecewise Linear Filtration Applied to Real-World Time Series
4 Conclusions
References
Hyperspectral Remote Sensing Images Feature Extraction Based on Weighted Classwise Non-locality Preserving Projection
Abstract
1 Introduction
2 Principle of Algorithm
2.1 CNLPP
2.2 WCNLPP
3 Experiments
3.1 Experiment Data Sets
3.2 Experiment Results
4 Conclusion
Acknowledgements
References
Sample Generation Combining Generative Adversarial Networks and Residual Dense Networks
Abstract
1 Introduction
2 RDGAN
3 Experiments
4 Conclusions and Future Work
Acknowledgment
References
Dynamic Detection of Malicious Code on Android Based on Improved Multi-feature Gaussian Kernel
Abstract
1 Introduction
2 Improved Method
3 Dynamic Detection of Malicious Code on Android Based on Multi-feature IGK
3.1 Extract the System Call Sequence
3.2 Extract System Service Calls
3.3 Experiments and Results Analysis
4 Conclusion
References
A Rough Set Classifier Based on Discretization and Attribute Selection
Abstract
1 Introduction
2 Related Concepts and Theories
2.1 Decision Table
2.2 Description of Discretization
2.3 Attribute Significance
3 Rough Set Classifier Based on Discretization and Attribute Selection
3.1 Discretization of Continuous Attributes
3.2 Rough Set Classifying Algorithm Based on Discretization and Attribute Selecting
4 Experimental Results and Analysis
4.1 Experimental Data
4.2 Experiments
5 Conclusions
Acknowledgements
References
Knowledge Discovery Foundations: Other Topics in Knowledge Discovery Foundations
RDF Multi-query Optimization Algorithm Based on Triple Pattern Reordering
Abstract
1 Introduction
2 Algorithm Basic Flow
2.1 Algorithm Basic Architecture
2.2 Preprocessing
2.2.1 RDF Storage and Indexing
2.2.2 Basic Graph Pattern Pruning
3 Distance-Based Triple Pattern Reordering Optimizes RDF Multi-query
3.1 Distance-Based Triple Pattern Reordering Algorithm
3.1.1 Query Conversion
3.1.2 Local Optimal Plan Generation
3.2 Establishing Materialized View Based on the Left Deep Tree Identification Algorithm
3.2.1 Left Deep Tree Identification Algorithm
3.2.2 Establishing Materialized View
4 Algorithm Evaluation
4.1 Experimental Design
4.2 Analysis of Experimental Results
5 Conclusion
Acknowledgment
References
Fuzzy Partition Based Period Detection Method for Numerical Time Series
Abstract
1 Introduction
2 Preliminaries
3 Period Detection Method of Time Series
3.1 Construction of Events by Fuzzy Partition
3.2 Construction of Binary Sequences
3.3 Period Detection of the Binary Sequences
3.4 Period Detection of the Time Series
4 Experimental Study
4.1 Experiment on Synthetic Dataset
4.2 Experiment on Real Dataset
5 Conclusions
Acknowledgement
References
A Novel Time Series Forecasting Method Based on Fuzzy Visibility Graph
Abstract
1 Introduction
2 Preliminaries
3 Fuzzy Visibility Graph
3.1 Fuzzy Visibility Graph
3.2 A New Similarity Measure of Time Series
4 A Novel Time Series Forecasting Method Based on Fuzzy Visibility Graph
5 Experimental Results and Analysis
5.1 Alabama Enrollment in the United States
5.2 Stock Price Index
5.3 Shanghai Pudong Development Bank's Closing Price Data Set
6 Conclusion
Acknowledgement
References
Applicability Study of Battery Charging Stations in Off-grid for Rural Electrification - The Case of Rwanda
Abstract
1 Introduction
2 State of Off-grid in Rwanda
2.1 Solar Home Systems
2.2 Mini-grids
3 Ubudehe Categories
3.1 Relationship Between Poverty, Ubudehe Categories, and Electrification
4 Problem Statement and Battery Charging Stations (BCS) Overview
5 Energy and Battery Capacity Required by a Rural Household
5.1 Battery Capacity (BC)
5.2 Number of Batteries to Be Charged to the Station Per Day
5.3 Monthly Payment/Charging Fee
6 Discussions
7 Implementation Strategies
7.1 Delivery Method
8 Conclusion
References
The Fractional SEIRS Epidemic Model for Information Dissemination in Social Networks
Abstract
1 Introduction
2 The Fractional SEIRS Model
2.1 Conformable Derivative
2.2 The Model Establishment
2.2.1 The Traditional SEIR Model
2.2.2 The Fractional SEIRS Model
3 Results and Discussion
4 Conclusion
Acknowledgments
References
An Algorithm for Solving the Important Links of the Transportation Network Based on Connect Reliability
Abstract
1 Introduction
2 The Review of Connect Reliability
3 Transportation Network Node Important Degree Evaluation Algorithm
4 A Model for Transportation Network Planning and Design Based on Critical Links and Reliability
4.1 The Explanation of the Model
4.2 A Algorithm Based on the Key Section
5 Example Analysis
6 Conclusion
Acknowledgements
References
Comparative Studies of Robot Navigation
Abstract
1 Introduction
2 Research Status of Robot Navigation System
3 Navigation Method
3.1 Magnetic Navigation
3.2 Inertial Navigation
3.3 GPS
3.4 Visual Navigation
3.5 Taste Navigation
3.6 Ultrasonic Navigation
4 Positioning Technology
4.1 Inertial Positioning
4.2 Landmark Positioning
4.3 Autonomous Positioning Based on Omnidirectional Images
4.4 Sound-Based Positioning
4.5 Based on Visual Servo Positioning
4.6 Lidar-Based Positioning
5 Multi-sensor Information Fusion Technology
6 Application and Development Trend of Robot Navigation Technology
6.1 Application of Robot Navigation Technology
6.2 Robot Navigation Technology Development Trend
Acknowledgment
References
Knowledge Discovery in Specific Domains: High-Dimensional Data Mining
Two-Stage Sampling Method for Social Media Bigdata
Abstract
1 Introduction
2 Related Work
3 Multi-stage Sampling Method
4 Sampling Evaluation
5 Conclusion
References
Two-Stage Discriminative Feature Selection
1 Introduction
2 Related Works
2.1 Notations and Definitions
2.2 LDA/QR, LDFS and DFS
3 TSDFS
4 Model Selection
5 Experiments
5.1 Data Set Description
5.2 Feature Selection Ability Comparisons
5.3 Model Selection Test
6 Conclusions
References
An Efficient Algorithm for Enumerating Maximal Bicliques from a Dynamically Growing Graph
Abstract
1 Introduction
2 Our Algorithm: IMBS
3 The Basic Theory for IMBS Algorithm
3.1 Completeness of IMBS Algorithm
4 Experiment Result
5 Conclusion
Acknowledgment
References
Knowledge Discovery in Specific Domains: Temporal Data Mining
A Cloud-Based Dashboard for Time Series Analysis on Hot Topics from Social Media
Abstract
1 Introduction
2 Hardware and Software Architecture
3 Data Set
4 Dashboard Design and Functionalities
5 Hot Topics Cross-Compared Based on Locations
6 Conclusion and Discussion
References
Using SVM to Provide Precipitation Nowcasting Based on Radar Data
Abstract
1 Introduction
2 Model Descriptions
2.1 Principle and Method of Support Vector Machine
2.2 The Precipitation Nowcasting Model Based on SVM
3 Results and Discussion
3.1 Data for Verification
3.2 Verification the Model Performance
3.3 Results
4 Conclusion
Acknowledgement
References
Knowledge Discovery in Specific Domains: Big Data
Research on Medical Big Data Security Management
Abstract
1 Introduction
2 Medical Big Data
3 The Significance of Medical Big Data Security Management
4 Medical Big Data Security Management Measures
4.1 Technical Measures
4.2 Policy Measures
5 Suggestions
5.1 Data Integration
5.2 Privacy Protection
5.3 Personnel Training
6 Summary
Acknowledgements
References
Research of Entity Relation Extraction Model Based on Dependency Parsing Neural Network
Abstract
1 Introduction
2 Related Work
2.1 Chinese Word Segmentation
2.2 Part of Speech Tagging
2.3 Dependency Parsing
3 ERE-DPNN Model
3.1 ERE-DPNN Design
3.2 Pretreament Module
3.3 Dependency Parsing Module
3.4 Triplets Extraction Module
4 Experimental Results and Analysis
4.1 The Data Source
4.2 Experimental Environment
4.3 Experimental Analysis
5 Summary
Acknowledgments
References
Research on College Students' Academic Early Warning System Based on PCA-SVM
1 Introduction
2 The Related Methods
2.1 Principal Component Analysis (PCA)
2.2 Support Vector Machine (SVM)
3 Empirical Research
3.1 Data Sources
3.2 Data Preprocessing
3.3 Correlation Analysis
3.4 PCA Analysis
3.5 Establishment of Radial Basis Kernel Function SVM Classification Model
4 Conclusion
References
Exascale Flood Modelling in Environment Supporting Urgent Computing
1 Introduction
2 State of the Art
3 Crisis Management System for Flood Simulations
4 U-COMP Platform
5 Future Work
References
Research on Students' Campus Behavior Analysis and Warning System Based on Big Data
Abstract
1 Introduction
2 Research and Application of Big Data in Education
3 Generation and Value of Big Data of Students' Campus Behavior
4 Key Technologies of Student Behavior Data Analysis
4.1 Data Acquisition Method for Student Campus Behavior Analysis
4.2 Analysis and Prediction Model of Students' Campus Behavior
4.3 Visualization Model of Big Data of Student Behavior
5 Construction of Data Analysis and Early Warning System for Student Campus Behavior
5.1 Overall Framework Design of System
5.2 Technology Architecture of System
6 Conclusions
Acknowledgements
References
Knowledge Discovery in Specific Domains: Multimedia Mining
Performance Evaluation of Transfer Learning for Pornographic Detection
Abstract
1 Introduction
2 Background
2.1 Related Research
2.2 Deep Learning Networks
3 Fine-Tuning Deep Learning Networks
3.1 Fine-Tune VGG16
3.2 Fine-Tune MobileNet
3.3 Fine-Tune InceptionV3
3.4 Fine-Tune Xception
3.5 Fine-Tune ResNet50
4 Experimental Result and Discussion
4.1 NPDI Pornography Database
4.2 Performance Evaluation Metrics
4.3 Result and Discussion
5 Conclusions
Acknowledgements
Detect Video Forgery by Performing Transfer Learning on Deep Neural Network
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Introduction to DeepFake and the Common Flaws
3.2 Transfer Learning
3.3 Creating Image Feature Vectors
4 Experiments
4.1 The Dataset
4.2 Training Parameter
4.3 Retraining
5 Experimental Results
6 Conclusions
References
Knowledge Discovery in Specific Domains: Web and Text Data Mining
DTR: A Novel Topic Generate Algorithm Based on Dbscan and TextRank
1 Introduction
2 Related Work
3 Topic Generation Algorithm
3.1 Relevance Analysis
3.2 Text Clustering
3.3 Topic Generation
4 Experimental Details
4.1 Dataset
4.2 Results
5 Conclusion
References
Artificial Intelligence Recruitment Analysis
Abstract
1 Introduction
2 Data Collection
2.1 51job Talent Recruitment Information
2.2 China Knowledge Network Paper Collection
3 Data Processing and Analysis
3.1 Recruitment Information Processing
3.2 China Knowledge Network Paper Processing
4 Conclusion
Acknowledgment
References
A System for Collecting and Analyzing Data from Existing Game Selling Platforms
Abstract
1 Introduction
1.1 Background
1.2 Our Contributions
2 Materials and Methods
2.1 Limitation of Our Project
3 Results and Discussion
3.1 Description of Dataset
3.2 Evaluation Metrics
4 Conclusion
References
A Knowledge Selection Model in Pointer-Generator Dialogue Systems
1 Introduction
2 Related Works
3 Model
3.1 Seq2Seq and Attention
3.2 Pointer-Generator Network
3.3 Knowledge Selection
4 Experiments
4.1 Dataset
4.2 Models for Comparison
4.3 Implementation Details
4.4 Evaluations
5 Conclusion
References
Identifying Influential Users by Improving LeaderRank
Abstract
1 Introduction
2 Related Theory Knowledge
2.1 Related Research
2.2 Basic Properties of Networks
2.3 PageRank
2.4 LeaderRank
3 Improvement of LeaderRank
3.1 Analysis of the Shortcomings of LeaderRank
3.2 Improvement of LeaderRank
4 Result
4.1 Data Description
4.2 Basic Properties Analysis of the Network
4.3 Analysis of the Top-10 Result
4.4 Analysis of the Top-500 Result
4.5 Effectiveness
5 Conclusion
References
Topic Clustering Analysis of Online Judge System
Abstract
1 Introduction
2 Method
3 Experiments
3.1 Data Preprocessing
3.2 Measurement Criteria
3.3 Experimental Design
4 Experimental Result
5 Discussion
6 Conclusion
Acknowledgment
References
Knowledge Discovery in Specific Domains: Pattern Recognition and Diagnostics
Vessel Segmentation Based on Region-Scalable Fitting Energy
Abstract
1 Introduction
2 Background
2.1 CV Model
2.2 Improved Level Set Model
2.3 RSF Model
3 Improved RSF Model
4 Experimental Results and Discussions
4.1 Experimental Results
4.2 Discussions
5 Conclusion
References
Image Recognition Based on Directed Complex Network Model
1 Introduction
2 Evolution Model
3 Image Description and Feature Extraction
3.1 Directed Complex Network Representation of Images
3.2 Feature Extraction of Complex Networks
4 Algorithm Flow
5 Experiment
5.1 Image Clustering Experiment
5.2 Image Retrieval Experiment
6 Summary
References
Knowledge Discovery in Specific Domains: Knowledge Discovery in Other Domains
A Cache Based Countermeasure Against DDoS Attacks in Xen
1 Introduction
2 Related Works
3 Countermeasure Based on Cache
3.1 Structure of Xen
3.2 Modified Structure of Xen
3.3 Structure of Cache Queues
3.4 Communication Process
4 Experiments and Results
4.1 Experimental Environment
4.2 Experiment Steps
4.3 Experimental Results
5 Conclusion
References
Public Sentiment Monitoring and Early-Warning for Enterprise
1 Introduction
2 Related Work
2.1 Text Structural Content Extraction
2.2 Topic Model
2.3 Position Determination of Short Text
2.4 Tracing Analysis of Social Network and Information
3 Main Contents
3.1 Data Structure Content Extraction Method
3.2 Obtain the Topic Structure About the Enterprise
3.3 Position Determination Technology
4 Conclusion
References
Research on the Implementation Plan of the Intelligent Substation Based on the Micro System
Abstract
1 Introduction
2 Micro Grid Technology Application
2.1 Technology Application
2.2 Prospects for Development
3 Scenery Storage and Joint Operation
4 Project Implementation Plan
4.1 Standing with Micro Network Capacity Allocation Technology
4.2 Standing with Micro Network Control Technology
4.3 Standing with Micro Network Monitoring Solution
5 Summary
References
Curriculum Design of AI Experimental Course Based on CDIO Model
Abstract
1 Introduction
1.1 CDIO
1.2 Overview of AI Education in China
1.3 Overview of AI Education in Other Countries
2 Design an AI Experimental Course Based on CDIO
2.1 Model Design of AI Experimental Course Based on CDIO
2.2 Task Design of AI Experimental Course Based on CDIO
3 The Implementation of AI Experimental Course Based on CDIO
4 Analysis of Teaching Effect
5 Conclusion
Acknowledgement
References
Pattern Match Query for Spatiotemporal RDF Graph
Abstract
1 Introduction
2 Modeling Spatiotemporal RDF
2.1 RDF
2.2 Spatiotemporal RDF
3 Querying Spatiotemporal RDF Graph
3.1 Constructing Query Graph
3.2 Pattern Match Query
4 Discussion
5 Conclusion
Acknowledgment
References
Evaluating Image Blurring for Photographic Portraiture
Abstract
1 Introduction
2 Cumulative Probability of Blur Detection (CPBD)
3 The Framework of Proposed Method
4 Experimental Results
5 Conclusion
References
Determinants of Firms' External Technology Selection
Abstract
1 Introduction
2 Determinants Affecting Technology Country Selection
3 Data Source, Variables and Model Settings
3.1 Data
3.2 Variables Settings
3.3 Model Specification
4 Results
4.1 Data Descriptive Analysis
4.2 Logit Regression Analysis
5 Discussions and Conclusions
Acknowledgments
References
Random Forest-Based Ensemble Estimator for Concrete Compressive Strength Prediction via AdaBoost Method
Abstract
1 Introduction
2 Preliminaries
2.1 Random Forest
2.2 AdaBoost
3 Ensemble Concrete Strength Estimator
3.1 Data Preprocessing
3.2 Feature Engineering
3.3 AdaBoost Method Based on Random Forests (ADARF)
3.4 Performance Evaluation
4 Experiments
4.1 Experiments Setup
4.2 Experiments Results
5 Conclusion
Acknowledgement
References
A Deep Self-learning Classification Framework for Incomplete Medical Patents with Multi-label
1 Introduction
2 Related Work
3 Deep Self-learning Framework
3.1 Word Embedding
3.2 Medical Patent Classifier
4 Experiments
4.1 Dataset
4.2 Evaluation Metrics
4.3 Model Tuning
4.4 Model Contrast
5 Conclusion
References
An Improved Harmonic Energy Measurement Algorithm Based on Instantaneous Reactive Power Theory
Abstract
1 Introduction
2 Electric Energy Metering Technology Based on Improved Instantaneous Reactive Power Theory
3 Simulation Verification
3.1 Single Phase System
3.2 Three Phase System
4 Conclusion
References
Research on Wine Analysis Based on Data Preprocessing
Abstract
1 Introduction
2 Related Work
3 Research Methodology
4 Data Preprocessing
4.1 Filling Missing Data
4.2 Removing Redundant Data
4.3 Detecting Outlier
4.4 Data Standardization
4.5 Data Statute
5 Results and Analysis
5.1 Linear Regression Model
5.2 Decision Tree Classification
6 Conclusion
Acknowledgements
References
Plastic Boss Design Using Knowledge Extraction Method
Abstract
1 Introduction
2 Methodology
2.1 Plastic Product Material
2.2 Boss Quality
2.3 Mold Design and Quality Measurement
2.4 Back Propagation Neural Network
2.5 Quality Prediction Model
3 Genetic Algorithm
4 Results and Discussion
4.1 Quality Prediction and Analysis
4.2 The Analysis of a Specified Quality
5 Conclusion
References
A Dynamic Pricing Mechanism in IoT for DaaS: A Reinforcement Learning Approach
Abstract
1 Introduction
2 Related Work
2.1 Data Pricing
2.2 Q-Learning
3 System Model
3.1 Problem Description
3.2 Supply Side
3.3 Demand Side
3.4 Objective Function on Both Sides
4 Reinforcement Learning Methodology
4.1 Markov Decision Process
4.2 Q-Learning Algorithm
5 Numerical Simulation Results
6 Conclusion
Acknowledgment
References
Capacity Analysis and Improvement Scheme Basing on the TPS of Qtum Block Chain
Abstract
1 Brief Introduction of Qtum Block
2 UTXO Model and TPS
3 Qtum Consensus Mechanism
4 Data Analysis
4.1 TPS of Qtum Main Network
4.2 Qtum Transaction Information
4.3 Qtum Block Volume
4.4 Current Status of Qtum
5 Suggestions for Improvement
References
Information Technology for Knowledge Discovery: Data Engineering
A Text Sentimental Analysis Method Based on Dimension Reduction of CHI Multi-gram Features Mixture
Abstract
1 Introduction
2 A Model of Multi-gram Mixed Feature Selection Based on CHI
2.1 Mixture of Multi-gram Feature Selection for Text Sentiment Analysis
2.2 Text Sentiment Analysis Based on CHI Multi-gram Mixed Feature Selection
3 Sentiment Analysis Method Based on Dimension Reduction of CHI Multi-gram Features Mixture
3.1 Dimension Reduction Method of PCA
3.2 The Method Based on Dimension Reduction of CHI Multi-gram Mixture
4 Comprehensive Experiment and Result Analysis
5 Conclusion
Acknowledgment
References
An Approximate Reasoning Method and Its Application to Fuzzy Information Systems
Abstract
1 Introduction
2 \lambda -Truth Degree of Propositions and Its Properties
3 \lambda -Truth Degree of Propositions and Its Properties
4 Approximate Reasoning Method Based on Logical \lambda -Metric
5 The Application to Fuzzy Information Systems
Acknowledgement
References
Map-Reduce Based Generic Basis of Association Rules Mining from Big Bata
Abstract
1 Introduction
2 Preliminary Notions
3 Related Works
4 Proposed Approach: DGARM
4.1 DGARM Algorithm Principle
4.2 Attributes Reduction Technique Using ?-Irreducible Elements Principle
4.3 Frequency Counting
4.4 CFI Mining
4.5 Generic Basis Generation
5 Experimental Analysis
5.1 Datasets
5.2 Setup and Implementation
5.3 The Experiments
6 Conclusion
References
An Efficient Spatio-Textual Skyline Query Processing Algorithm Based on Spark
Abstract
1 Introduction
2 Spatio-Textual Skyline Definition
3 Spatio-Textual Skyline Query Processing Algorithm
3.1 Data Partitioning and Filtering
3.2 Local Skyline Computing
3.3 Global Skyline Computing
4 Performance Evaluation
5 Conclusion
Acknowledgements
References
Generation of Random Sequences Based on Exponential Numbers
1 Introduction
2 Pattern of Exponential Number ge
3 Random Number and Sequence Generator
3.1 Uniformity Level of Exponential Pattern
3.2 Codeword Matrix and Random Sequences
4 Discussion and Applications
5 Conclusion
References
Information Technology for Knowledge Discovery: Signal Processing and Multimedia
Non-symmetry and Anti-packing Pattern Representation Model in Visual Tracking
Abstract
1 Introduction
2 Non-symmetry and Anti-packing Representation Model for Images
2.1 RNAM Subpattern
2.2 RNAM Division Algorithm
3 NAM Applied in Object Tracking
3.1 Basic Idea of Applying NAM to Target Tracking
3.2 Our Proposed Object Tracking Algorithm
4 Experimental Results and Analyses
5 Conclusion and Future Work
Acknowledgment
References
Optimized Encoding Methods of the Overlapped Rectangular Non-symmetry and Anti-packing Model
Abstract
1 Introduction
2 Two Improved ORNAMC Algorithms
2.1 Principles for Improved ORNAMC Algorithms
2.2 Adaptive Arithmetic Coding (AC_ORNAMC)
2.3 Adjacent Position Correlation Coding Based on Column Bisections (FRAG_ORNAMC)
3 Experimental Results
4 Conclusion
Acknowledgment
References
A Fast Automatic Holoscopic 3D Micro-gesture Recognition System for Immersive Applications
1 Introduction
2 Related Works
3 System Overview
3.1 Pre-processing
3.2 Feature Extraction
3.3 Feature Selection
3.4 Classification
4 Evaluation
4.1 HoMG Database
4.2 Experimental Results
5 Conclusion
References
A Research and Strategy of Remote Sensing Image Denoising Algorithms
1 Introduction
2 Image Denoising Approaches
2.1 Filter-Based Approaches
2.2 Sparse Representation Approaches
2.3 Deep Learning Approaches
3 Simulation Comparison of Representative Approaches
3.1 Dataset
3.2 PSNR and SSIM
3.3 Time Cost and Memory Consumption
4 Strategies for Image Denoising on Satellite TianZhi-1
5 Conclusion
References
Phase Compensation for Unconstrained GNSS Adaptive Array Processing
Abstract
1 Introduction
2 Array Signals Model
3 Proposed Method
4 Simulations Results
5 Conclusions
References
FPGA Implementation of Directional Peer-Group Image Filter
Abstract
1 Introduction
2 Algorithm
2.1 Noise Model
2.2 Directional Peer-Group Filter
3 FPGA Architecture
3.1 Window Buffer Module
3.2 Peer Group Detection Module
3.3 Directional Weighted Module
4 Simulation Results
5 Conclusions
Acknowledgments
References
A Novel Image Dehazing Algorithm Based on Area Weight of NAM Blocks
Abstract
1 Introduction
2 Defogging Based on NAM Block
2.1 Atmospheric Scattering Model
2.2 NAM Block to Estimate Atmospheric Light Value
2.3 Our Proposed Method
3 Experimental Results and Analysis
4 Conclusion
Acknowledgment
References
Spatial Multi-scale Motion History Histograms and Its Applications
1 Introduction
2 Related Works
3 Motion History Histogram and Its Extensions
3.1 Basics of Motion History Histogram
3.2 Multi-scale Motion History Histogram
3.3 Spatial Motion History Histogram
3.4 Spatial Multi-scale Motion History Histogram
4 Experimental Result
4.1 Human Action Recognition
4.2 Social Touch Gesture Recognition
5 Conclusion
References
Infrared and Visible Image Fusion Based on Morphological Image Enhancement of Dual-Tree Complex Wavelet
Abstract
1 Introduction
2 Dual-Tree Complex Wavelet Transform
3 Fusion Algorithm
3.1 Image Fusion Algorithm Flow
3.2 Morphological Image Enhancement
3.3 The Fusion Rules of High Frequency Subbands
3.4 The Fusion Rules of Low Frequency Subbands
4 Experimental Results and Analysis
4.1 Subjective Evaluation
4.2 Objective Comment
5 Conclusion
References
A Calibration Method of CBCT Geometric Parameters Based on the Visual Imaging Model
Abstract
1 Introduction
2 Related Research
3 CBCT Geometric Parameter Calibration and Error Correction Framework
3.1 Design of Coded Ring Marker
3.2 Marker Detection
3.3 Marker Detection
3.4 Estimation of Imaging Model Parameters
4 Method Optimization
5 Conclusion
Acknowledgments
References
Sensitivity Analysis for Transient Response of the Transmission Line Network
Abstract
1 Introduction
2 Transmission Line Network Equation in the Frequency Domain
3 Transmission Line Network Sensitivity Analysis
4 Solution of Transmission Line {{{{\bf \partial }}{\varvec S}_{{\varvec k}} } \mathord{\left/ {\vphantom {{{{\bf \partial }}{\varvec S}_{{\varvec k}} } {{{\bf \partial }}{{\bf p}}}}} \right. \kern-0pt} {{{\bf \partial }}{{\bf p}}}}
5 Examples
6 Conclusion
References
Fusion CNN Based on Feature Selection for Crime Scene Investigation Image Classification
Abstract
1 Introduction
2 Proposed Algorithm
2.1 Fusion CNN Feature Extraction
2.2 Feature Selection, PCA and SVM Classification
3 Experimental Results
3.1 Experimental Database and Evaluation Parameter
3.2 Experimental Results and Analysis
4 Conclusion
Acknowledgments
References
Slope Deformation Investigation on Typical Debris Flow Gullies of Xiaojiang River Basin Through SBAS-InSAR
Abstract
1 Introduction
2 Study Area
3 Data and Methodology
3.1 Sentinel-1 Image
3.2 Methodology
4 Results
4.1 Slope Deformation in Jiangjia Gully
4.2 Slope Deformation in Shawanda Gully
4.3 Slope Deformation in Dabaini and Xiaobaini Gully
5 Conclusion
Acknowledgements
References
Blind Audio Watermarking Scheme Based on Improved Cepstral Statistical Mean Modulation
Abstract
1 Introduction
2 Complex Cepstrum Transform
3 The Proposed Scheme
3.1 Watermark Embedding
3.2 Watermark Extraction
4 Experimental Results
5 Conclusion
References
A Novel Watermarking Algorithm for Color Point-Cloud Models Based on 2D-DCT
Abstract
1 Introduction
2 Preprocessing of 3D Model
3 The Proposed Watermarking Algorithm
3.1 Watermarking Embedding Algorithm
3.2 Watermarking Extraction Algorithm
4 Simulation Results
5 Conclusion
References
Generative Adversarial Network-Based Regional Epitaxial Traffic Flow Prediction
Abstract
1 Introduction
2 Preliminary
2.1 Traffic Prediction Method
2.2 Generative Adversarial Networks
2.3 Problem Statement
3 The Proposed Method
3.1 RT-GAN Network Architectures
3.2 Loss Function
4 Experiments
4.1 Experiment Setup
4.2 Methods for Comparison
4.3 Analysis of Inflow and Outflow
5 Conclusion and Future Work
References
A Noise Reduction Method for Solar Radio Spectrum Based on Improved Guided Filter and Morphological Cascade
Abstract
1 Introduction
2 Acquisition and Format of Solar Radio Spectrum
3 Noise Reduction of Solar Radio Spectrum
3.1 Eliminate Background Noise
3.2 Noise Reduction Using Guided Filter
3.3 Morphological Filtering
4 Experimental Results and Analysis
5 Conclusion
Acknowledgments
References
Information Technology for Knowledge Discovery: Communications and Networking
Reliability Enhancement of Mobile Edge Computing for the IoT with Multiple Damage Communication
Abstract
1 Introduction
2 The Architecture of EdgeIoT
3 The Proposed Protocol
4 An Example of Executing OCEP
5 The Complexity of the OCEP Protocol
6 Conclusions
Acknowledgment
References
A Novel Algorithm of Radar Emitter Identification Based Convolutional Neural Network and Random Vector Functional-Link
Abstract
1 Introduction
2 Related Work
3 Algorithm Mechanism
3.1 Preprocessing
3.2 Feature Extraction
3.3 Identification
3.4 Analysis
4 Numerical Experiments
4.1 Parameters Tuning
4.2 Methods Comparison
5 Conclusions
References
An Efficient Three-Factor Remote User Authentication Scheme Based on Random Projected Biometrics
1 Introduction
2 The Proposed Scheme
2.1 Random Projection for Original Biometrics
2.2 Registration Phase
2.3 Login Phase
2.4 Authentication Phase
2.5 Password Change Phase
3 Security Analysis and Comparisons
3.1 Security Analysis
3.2 Performance and Functionality Comparisons
4 Conclusions
References
Device-to-Device Relay Selection Based on Comprehensive Social Attributes in Heterogeneous Wireless Networks
Abstract
1 Introduction
2 System Model
3 Mathematical Model
3.1 Selection Steps for Relay Candidates
4 Simulation Result Analysis
5 Conclusion
Acknowledgment
References
Analysis on the Weight with Traffic Type for the Vertical Handover of Heterogeneous Wireless Networks
Abstract
1 Introduction
2 Network Selection Methods
2.1 The Cost Function
2.2 Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS)
2.3 Grey Relational Analysis (GRA)
3 Determination of Weights of Attributes
4 Simulation Results
4.1 Simulation Scenario
4.2 Simulation Results
4.3 The Relationship Between Weights and Traffic Types
5 Conclusions
Acknowledgment
References
A Transient Response Domain Time Analysis Method of Transmission Lines
Abstract
1 Introduction
2 Transient Response Analysis of Transmission Line
3 Examples
4 Conclusion
References
A Trend Filtering Based Prediction Model on Network Traffic
1 Introduction
2 Trend-Filtering Based Prediction Model
2.1 Trend Extraction
2.2 Systematic Prediction Model
3 Prediction Process
3.1 Periodical Trend Estimation
3.2 Local Trend Prediction
3.3 Residual Prediction
3.4 Integration
4 Experiment Results
4.1 Evaluation Accuracy of the Proposed Model
4.2 Time Efficiency of the Proposed Model
5 Conclusion
References
Information Technology for Knowledge Discovery: Software Engineering
Development of a Secure Web-Based Cloud Storage System Using 3D-AES Block Cipher Cryptography Algorithm
Abstract
1 Introduction
2 Review on Web-Based Cloud Storage
3 Review on 3D-AES Block Cipher
4 Experimental Design
4.1 Design Flow and Implementation
4.2 System Interface
5 Bit Error Rate Analysis
6 Conclusion
Acknowledgment
References
IGNet: Constructing Rooted Phylogenetic Networks Based on Incompatible Graphs
1 Introduction
2 Methods
3 Methods
4 Access of IGNet
5 Discussion
References
Information Technology for Knowledge Discovery: Automation, Robotics, and Control
Elimination of Transformer Inrush Current by Three-Phase Linkage Circuit Breakers
Abstract
1 Introduction
2 Principl on Elimination of the Inrush Current
2.1 The Principal
2.2 Method of Realization
3 Simulation and Analysis
3.1 Simulation Model
3.2 Result Analysis
3.3 Summary
4 Conclusion
References
Flyback Switching Power Supply Using FAN6754A
Abstract
1 Introduction
2 System Framework
3 Hardware System Design
3.1 Input Circuit
3.2 Peripheral Circuit
3.3 Reducing Surge Current Circuit
3.4 DC Converting Circuit
3.5 Feedback Circuit
3.6 Overvoltage Protection Circuit
4 Experiment Results
4.1 System Efficiency
4.2 Output Voltage Ripple
4.3 Fluctuation Range of the Output Voltage
Acknowledgments
References
New Passive Collision Force Suppression Mechanism for Human-Friendly Robot
Abstract
1 Introduction
2 Human-Friendly Robot
3 Collision Force Suppression System
4 Air Cushion Bag and Soft Cover
5 Experiment
6 Conclusion
References
User Behavior Tracking for Education Assisting System by Using an RGB-D Sensor
Abstract
1 Introduction
2 Human Detection and Color Information Area Extraction
3 Color Information Extraction and Human Identification
3.1 Color Information Extraction
3.2 Human Identification
4 Particle Filter Based People Tracking
5 Experiment
6 Conclusion
References
Information Technology for Knowledge Discovery: Distributed Systems and Computer Hardware
Distributed Network Data Security Protection for SG-eIoT
1 Introduction
2 Blockchain Technology
2.1 Blockchain Principle
2.2 Blockchain Characteristics and Operation Mechanism
3 Block-Based SG-eIoT Security Protection
3.1 SG-eIoT Device Identity Authentication and Management
3.2 Data Security Architecture of SG-eIoT
4 SG-eIoT Data Security in Power Marketing Business
5 Conclusions
References
Resource Bottleneck Analysis of the Blockchain Based on Tron's TPS
Abstract
1 Instruction
2 Related Introduction of Tron
2.1 Tron Network Architecture
2.2 Tron Node's Hardware Configuration Requirements
2.3 Block Transaction Data Size
3 Tron Resource Bottlenecks Analysis
3.1 Processing Performance Analysis
3.2 Transmission Performance Analysis
3.3 Storage Capacity Analysis
4 Conclusion
References
Information Technology for Knowledge Discovery: Computer Applications
Ontology-Based Computing of Sentence Similarity
Abstract
1 Introduction
2 Related Work on Sentence Similarity
3 Ontology-Based Algorithm
3.1 From Wiktionary to WikNet
3.2 WikNet-Based Computing of Sentence Similarity
4 Experiment
5 Conclusion
References
Arm Model and Puncture Training System in Hemodialysis
Abstract
1 Introduction
2 Focusing on Operation Training Support
2.1 Puncture Operation in Hemodialysis
2.2 Training for Puncture Operation
3 Puncture Technique Training System
3.1 The Arm Model
3.2 Configuration of the Puncture Training System
3.3 Practice of the System
3.4 Verification of System
4 Conclusion
Acknowledgements
References
Construction of the HMM Intelligent Recommendation Model and Its Application in the Film Ticketing System
Abstract
1 Introduction
2 Construction of the HMM Intelligent Recommendation Model
2.1 Basic Framework of the HMM Intelligent Recommendation Model
2.2 The Presentation of the Observation Sequence
2.3 K-Means Clustering
2.4 HMM Training
2.5 HMM Nearest Neighbor Filtering
3 Application in the Film Ticketing System of the HMM Intellectual Recommendation Model
4 Simulation Results and Analysis
4.1 MovieLens Data Set
4.2 HMM Training
4.3 HMM Intellectual Recommendation
5 Conclusions
Acknowledgement
References
Research on Web Service Clustering Method Based on Word Embedding and Topic Model
1 Introduction
2 Word Embedded Topic Model and Method
3 Web Services Clustering Based on Word Embedded Topic Model
4 Experiment
4.1 The Influence of Different Word Embedding Number on Service Clustering
4.2 Experimental Results
5 Conclusions
References
An Adaptive Multi-sensor Data Consistency Algorithm Based on Node Credibility
1 Problem Definition
2 An Adaptive Multi-sensor Data Consistency Algorithm Based on Node Credibility
2.1 Local Kalman Filtering
2.2 Multi-sensor Data Consistency Algorithm
3 Simulation Results and Analysis
4 Conclusion
References
Analysis of Big Data of an Online Community Based on Artificial Intelligence
Abstract
1 Introduction
2 Evolution Model and Analysis of Network Community Based on User Behavior
2.1 User Distribution in Online Community
2.2 Evolution Models of Network Community Based on User Behavior
2.3 Analysis of Network Evolution Model of Online Community
3 Experimental Design and Result Analysis
3.1 Experimental Designing
3.2 Result Analysis
4 Conclusion
Acknowledgement
References
Information Technology for Knowledge Discovery: Other Topics in Information Technology for Knowledge Discovery
Analysis and Solution of RFID Tag Information Based on Security Technology
Abstract
1 The Working Principle of the RFID Tag and ITS Core and Importance
1.1 Working Principles of the RFID Tag
1.2 The RFID Tags in the Central Importance of RFID System
2 RFID Security Problems
2.1 Data Information Secret Sexual Problems
2.2 Data Information Transmission Security
2.3 Data Information Is Faced with the Problem of "Bypass Attack"
3 RFID Security Design
3.1 Block the Label Method
3.2 The Safety of the Information Transmission Protocol
3.3 Tag Chip Against the Invasion of Technology
References
Multicriteria Decision-Making Problems Under Uncertainty and Their Solution
Abstract
1 Introduction
2 Pareto-Optimal Solutions and Best Compromise Solutions of a-Level of MCNP Problem
2.1 Definition
2.2 Theorem 1
2.3 Theorem 2. (Inverse)
3 Example of Application
4 Fuzzy MCLP Problem
5 Conclusions
References
The Strategy of Constructing an Interdisciplinary Knowledge Center
Abstract
1 Introduction
2 FAQ Based on Knowledge Centers
3 Research Framework
4 Blueprint of Interdisciplinary Knowledge Center
5 Discussion
5.1 Key Scientific Issues to Be Resolved
5.2 Formal Information Processing Standards Covering Big Data
5.3 Methods and Characteristics
6 Results
6.1 Knowledge Module Addition: Example 1
6.2 Knowledge Module Addition: Example 2
6.3 Knowledge Module Addition: Example 3
7 Conclusion
References
Retinal Image Segmentation Based on Texture Features
Abstract
1 Introduction
2 Method
3 Result
4 Conclusion
References
A Method of Intention Discovery Based on Scientific Collaboration Information
1 Introduction
2 The Method
2.1 Spatial and Temporal Resource Distribution Network Description Model
2.2 Definition and Methods of Scientific Cooperation Information Intention
3 Experiments and Analysis
3.1 Data Set
3.2 Data Distribution Statistics
3.3 The Centrality of Node Analysis
3.4 The Centrality of Network Analysis
4 Conclusion
References
Contextual Analysis of Transactional Data
1 Introduction
2 Context, Situation, Policy
3 Event Calculus Formalism Extended with Context
3.1 Transaction Specification
4 Concluding Remarks
References
Estimation of Soil Organic Matter Content Based on Regional Feature Bands
Abstract
1 Introduction
2 Materials and Methods
2.1 Soil Sampling and Laboratory Analysis
2.2 Spectra Measurement and Spectra Pre-processing of Soil Samples
2.3 Selection of Regional Feature Bands
2.4 Modeling Method and Evaluation of Model Accuracy
3 Results and Discussion
3.1 Correlation Analysis and Selection of Feature Bands
3.2 Prediction of SOM Content
4 Conclusion
Acknowledgement
References
Detection and Analysis of Surface Characteristics of Debris Flow Gully Landslide Based on TLS Technology
Abstract
1 Introduction
2 Test Area and Research Data
2.1 Test Area Overview
2.2 Research Data
3 Landslide Body Point Cloud Data Preprocessing
3.1 Point Cloud Registration
3.2 Point Cloud Filtering
4 Analysis and Discussion of Test Results
4.1 Detection and Analysis of Feature Points of Ridges and Valleys
4.2 Detection and Analysis of Feature Lines of Ridges and Valleys
4.3 Detection and Analysis of Feature Base on "Surface" in Point Cloud
5 Conclusion
Acknowledgement
References
A Feature-Based Hybrid Medical Image Watermarking Algorithm Based on SURF-DCT
Abstract
1 Introduction
2 The Fundamental Theory
3 Proposed Algorithm
4 Experiment
5 Conclusion
Acknowledgment
References
Practice of Document Information Knowledge Service Oriented to Metrology Research Innovation
Abstract
1 Introduction
2 Needs for Document Information Knowledge Service in Metrology Research Innovation Under New Situation
3 Practice of Document Information Knowledge Service Oriented to Metrology Research Innovation
3.1 Knowledge Resource Collection
3.2 Knowledge Organization and Processing
3.3 Knowledge Service
4 Service Effectiveness and Prospect
References
Study on the Construction of Metrology Thesaurus System in Digital Age
Abstract
1 Preface
2 The Development of Metrology Thesaurus
3 Principles for the Construction of Metrology Thesaurus System in the Digital Age
3.1 Inheritance
3.2 Speciality
3.3 Scientificality
3.4 Frontier
4 Thoughts and Methods for the Construction of Metrology Thesaurus System in the Digital Age
4.1 Drawing on the Achievements of Historical Experience and International Frontier Knowledge to Build a Basic Lexicon
4.2 Utilizing Word Frequency Analysis of Well-Known Databases to Pick Up Leaks and Fill Up Deficiencies and Improve Word Bank Construction
4.3 Using the Wisdom of Metrology Experts to Lock in Key Words in the Field
4.4 Analyzing Interword Relations to Expanding Key Lexical Relations
5 Summary
References
Seasonality of Property Crimes in a Neighborhood-Scale of Beijing, China
Abstract
1 Introduction
2 Data and Methods
3 Results and Discussions
3.1 The Crime Seasonality of Theft and Burglary in the Whole TYG Area
3.2 The Crime Seasonality of Theft and Burglary in Different Hotspots
3.3 Discussions on the Spatial Variability of Seasonality of Theft and Burglary in a Neighborhood-Scale
4 Conclusions
Acknowledgement
Appendix
References
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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

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