
Cloud Computing and Security
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Content
- Intro
- Preface
- Organization
- Contents - Part I
- Cloud Computing
- 3D Airway Tree Centerline Extraction Algorithm for Virtual Bronchoscope
- Abstract
- 1 Introduction
- 2 Method
- 2.1 Airway Tree Segmentation
- 2.2 Centerline Extraction and Generation
- 2.3 Airway Tree Structure Analysis
- 3 Experiments
- 4 Conclusion
- Acknowledgment
- References
- A Collective Computing Architecture Supporting Heterogeneous Tasks and Computing Devices
- 1 Introduction
- 2 Related Work
- 3 Architecture Design
- 3.1 Devices and Tasks Analyses
- 3.2 Architecture Description
- 3.3 Architecture Analysis
- 4 Prototype Evaluation
- 4.1 Implementation Overview
- 4.2 Performance Evaluation
- 5 Conclusion
- References
- A Control Approach Using Network Latency Interval to Preserve Real-Time Causality
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Causality Preservation with Real-Time Constraint
- 4 Using Network Latency Interval to Preserve Causality
- 5 Experiments
- 6 Conclusions
- Acknowledgement
- References
- A Co-occurrence Matrix Based Multi-keyword Ranked Search Scheme over Encrypted Cloud Data
- 1 Introduction
- 2 Problem Formulation
- 2.1 System Model
- 2.2 Threat Model
- 2.3 Preliminaries
- 3 The Framework of SMRS
- 3.1 Main Idea
- 3.2 Scheme Construction
- 3.3 Security Analysis
- 4 Performance Evaluation
- 4.1 Functionality Comparison
- 4.2 Precision
- 4.3 Efficiency
- 5 Conclusion
- References
- A Cooperative Spectrum Sensing Method Based on Clustering Algorithm and Signal Feature
- Abstract
- 1 Introduction
- 2 System Model
- 3 Feature Extraction
- 4 Cooperative Spectrum Sensing Based on Feature and Clustering Algorithm
- 4.1 Cooperative Spectrum Sensing Based on Feature and K-means Clustering Algorithm
- 4.2 Cooperative Spectrum Sensing Based on Feature and K-medoids Clustering Algorithm
- 5 Experiments
- 5.1 Cooperative Spectrum Sensing Based on Feature and K-means Clustering Algorithm
- 5.2 Detection Performance Under Different Clustering Algorithms
- 5.3 K-means Clustering Algorithm Under the Detection Performance
- 6 Conclusions
- Acknowledgments
- References
- A Dynamic Network Change Detection Method Using Network Embedding
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Correlation Definitions and Problem Analysis
- 3.1 Problem Definitions
- 3.2 Problem Analysis
- 4 Dynamic Network Change Detection Model Based on Network Embedding
- 4.1 Dynamic Network Embedding
- 4.2 Dynamic Network Change Detection Method Based on Network Embedding
- 5 Experiments
- 5.1 Simulating Small World Network Experiments
- 5.2 Real Dynamic Network Experiments
- 5.2.1 Experimental Dataset
- 5.2.2 Experimental Design
- 5.2.3 Experimental Results
- 6 Conclusion
- Acknowledgments
- References
- A Genetic Algorithm Based Method of Early Warning Rule Mining for Student Performance Prediction
- Abstract
- 1 Introduction
- 2 Method
- 2.1 Individual Encoding
- 2.2 Fitness Function Definition
- 2.3 Genetic Selection Operator
- 2.4 Genetic Crossover Operator
- 2.5 Genetic Mutation Operator
- 2.6 Stop Criteria
- 3 Experiment and Result
- 3.1 Data Description and Preprocessing
- 3.2 Computational Results
- 4 Discussion and Conclusion
- Acknowledgement
- References
- A Hybrid Resource Scheduling Strategy in Speculative Execution Based on Non-cooperative Game Theory
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Model and Algorithm
- 4 Results and Evaluation
- 4.1 Performance Evaluation Metrics
- 4.2 Performance of the HRSE Strategy in a High-Load Heterogeneous Environment
- 5 Conclusion
- Acknowledgements
- References
- A Joint Approach to Data Clustering and Robo-Advisor
- 1 Introduction
- 2 Related Work
- 2.1 Collaborative Filtering in Recommender Systems
- 2.2 Basic Concept in Asset Allocation
- 3 Methodology
- 3.1 The Framework of CLURE
- 3.2 Clustering Based on User Preference
- 3.3 User Similarity
- 3.4 Recommendation Algorithm
- 4 Experiments and Results
- 4.1 Data Selection
- 4.2 Evaluation Metrics
- 4.3 Experimental Results and Analysis
- 5 Conclusion and Future Work
- References
- A Measurement Allocation for Block Image Compressive Sensing
- Abstract
- 1 Introduction
- 2 Background
- 2.1 CS Theory
- 2.2 ABCS Framework
- 3 Proposed Measurement Allocation
- 3.1 Feature Extraction
- 3.2 Measurement Allocation
- 4 Experimental Results
- 4.1 Subjective Evaluation
- 4.2 Objective Evaluation
- 5 Conclusions
- Acknowledgement
- References
- A Method of Small Sample Reliability Assessment Based on Bayesian Theory
- Abstract
- 1 General Method
- 2 Pre-test Information Conversion
- 2.1 Conversion Algorithm of Similar Systems
- 2.2 Conversion Algorithm of Test Information in Different Environments
- 3 Method of Small Sample Reliability Assessment Based on Bayesian Theory
- 4 Test Results and Analysis
- 4.1 Selection of Data Sets
- 4.2 Results and Analysis
- 5 Conclusion
- Acknowledgments
- References
- A Modified Dai-Yuan Conjugate Gradient Algorithm for Large-Scale Optimization Problems
- 1 Introduction
- 2 Modified DY Algorithm
- 3 Some Basis Properties and Globally Convergence
- 4 Numerical Results
- 5 Conclusion
- References
- A Modified Wei-Yao-Liu Conjugate Gradient Algorithm for Two Type Minimization Optimization Models
- 1 Introduction
- 2 The New Formula and the Corresponding Algorithm
- 3 The Sufficient Descent Property and Global Convergence
- 4 The New Method for Nonlinear Equations
- 5 Convergence analysis
- 6 Numerical Results
- 7 Conclusion
- References
- A New Fully Homomorphic Encryption Scheme on Batch Technique
- Abstract
- 1 Introdution
- 1.1 Organizations
- 2 Preliminaries
- 2.1 Notations
- 2.2 Cyclotomic Polynomial and Chinese Remainder Theorem
- 2.3 The Ring Learning with Errors Problem
- 2.4 Homomorphic Encryption
- 3 Encryption Scheme
- 3.1 Somewhat Homomorphic Encryption
- 3.2 Correctness
- 4 Batch FHE Scheme
- 4.1 Our Construction
- 4.2 Correctness
- 4.3 Key Switching
- 4.4 Modulus Switching
- 5 Security and Parameters
- 6 Conclusions
- Acknowledgments
- References
- A Novel Convolution Neural Network for Background Segmentation Recognition
- Abstract
- 1 Introduction
- 2 Related Work
- 2.1 Semantic Segmentation
- 2.2 Convolution Neural Network
- 3 BGRM-CNNs
- 3.1 Data
- 3.2 Tiramisu Model
- 3.3 Training
- 3.4 Results
- 4 Classification Model
- 5 Experiments Evaluation
- 6 Discussion and Conclusion
- Acknowledgements
- References
- A Parallel Pre-schedule Max-Min Ant System
- Abstract
- 1 Introduction
- 2 Max-Min Ant System
- 3 Pre-analysis
- 3.1 Parametric Impact Analysis
- 3.2 Pre-set Parameter Strategy of MMAS
- 3.3 Parallel Multi-ant Colony with Preset Parameters
- 4 The Experimental Results
- 5 Conclusion
- Acknowledgments
- References
- A Reliable Method of Icing Detection for Transmission Lines
- Abstract
- 1 Introduction
- 2 Software Reliability Design
- 3 Ice Coating Image Preprocessing
- 4 Threshold Treatment
- 4.1 The Concept of Image Thresholding
- 4.2 The Realization of Fault Tolerance Technology in Threshold Treatment
- 5 Icing Wire Inclination Angle Calibration
- 5.1 Experimental Data Analysis
- 5.2 Image Rotation and Ice Thickness Calculation
- 5.3 Experimental Results and Analysis
- 6 Conclusions
- References
- A Research About Trustworthiness Metric Method of SaaS Services Based on AHP
- Abstract
- 1 Introduction
- 2 SaaS Service and Its Trustworthiness Research Status
- 2.1 The Concept of SaaS Services
- 2.2 Research on the Analysis and Design of the System Model of SaaS Services
- 2.3 Research on Service Customization and Data Security of SaaS Service
- 2.4 Research on SaaS Service Trustworthiness
- 3 Trustworthiness Metric Method of SaaS Services
- 3.1 AHP Structure Model
- 3.2 Steps of SaaS Service Trustworthiness Metric
- 4 Case Study
- 5 Conclusion and Prospect
- Acknowledgments
- References
- A Spectrum Sensing Algorithm Based on Information Geometry and K-medoids Clustering
- Abstract
- 1 Introduction
- 2 System Scheme
- 2.1 Spectrum Sensing Scheme
- 2.2 Signal Model
- 3 System Analysis
- 3.1 Metric Tool
- 3.2 Riemannian Mean
- 3.3 K-medoids Clustering Algorithm
- 4 Performance Evaluation
- 5 Conclusions
- Acknowledgments
- References
- A Spectrum Sensing Method Based on Null Space Pursuit Algorithm and FCM Clustering Algorithm
- Abstract
- 1 Introduction
- 2 Cooperative Spectrum Sensing System Model
- 3 Feature Extraction Based on NSP and IQ Decomposition
- 3.1 NSP Signal Decomposition
- 3.2 IQ Decomposition
- 4 Cooperative Spectrum Sensing Based on NSP and FCM Algorithm
- 5 Experiments
- 5.1 Classification Effect Based on FCM Clustering Algorithm
- 5.2 FCM Clustering Algorithm Under the Detection Performance
- 6 Conclusions
- Acknowledgments
- References
- A Survey of Machine Learning-Based Resource Scheduling Algorithms in Cloud Computing Environment
- Abstract
- 1 Introduction
- 2 Traditional Scheduling Algorithm of Machine Leaning
- 2.1 Task Scheduling Algorithm
- 2.2 Scheduler Based on Hadoop
- 3 Heuristic Intelligent Scheduling Algorithm of Machine Learning
- 3.1 Ant Colony Optimization Algorithm
- 3.2 Cat Swarm Optimization Algorithm
- 4 Improved Intelligent Scheduling Algorithm of Machine Learning
- 4.1 Particle Swarm Optimization Algorithm
- 4.2 Reinforcement Learning Algorithm
- 5 Summary
- Acknowledgements
- References
- A Trusted Computing Base for Information System Classified Protection
- Abstract
- 1 Introduction
- 2 The Brief History of Trusted Computing
- 3 Trusted-Computing Technology
- 3.1 Cryptographic Trusted Computing
- 3.2 Trusted-Computing Initiatives
- 3.3 Microsoft's NGSCB
- 3.4 Intel's LaGrande
- 3.5 TCPA
- 3.6 Wave Systems' Embassy
- 4 An Execution Infrastructure for TCB Minimization
- 5 Reducing TCB Complexity
- 5.1 Nizza Architecture
- 5.2 Case Studies in Constructing Security-Sensitive Applications
- 5.3 Evaluation
- 6 The Future
- Acknowledgment
- References
- Address Allocation Scheme Based on Local MAC Address
- 1 Introduction
- 2 Related Works
- 3 Centralized Address Allocation Scheme
- 3.1 Address Release and Request
- 3.2 Address Approval and Confirmation
- 4 Distributed Address Allocation Scheme
- 4.1 Apply for the Local MAC Address
- 4.2 Generate an Address Pool
- 5 Performance Evaluation
- 5.1 Simulation Setup
- 5.2 Simulation Results Analysis
- 6 Summary and Future Work
- References
- An Approach Based on Value Revision to Activity Recognition
- Abstract
- 1 Introduction
- 2 Terminologies
- 3 The Proposed Approach
- 4 Experiments
- 4.1 Experiment
- 4.2 Summary
- 5 Conclusions
- Acknowledgments
- References
- An Encryption Traffic Analysis Countermeasure Model Based on Game Theory
- Abstract
- 1 Introduction
- 2 Encrypted Traffic Analysis Countermeasure Model
- 2.1 Player
- 2.2 LSTM-RNN
- 2.3 Payoff
- 3 Model Analysis
- 3.1 Classification
- 3.2 Iterative Deletion of Dominated Strategies
- 3.3 Best Response
- 3.4 Nash Equilibrium
- 4 Summary
- Acknowledgment
- References
- An Image Retrieval Technology Based on Morphology in Cloud Computing
- Abstract
- 1 Introduction
- 2 Image Feature Extraction Technology Based on Shape
- 2.1 Moment Invariants
- 2.2 Edge Direction Histogram
- 2.3 Extraction of Image Edge Feature Information by Morphological Algorithm
- 3 Image Retrieval Based on Hadoop
- 3.1 Image Feature Extraction
- 3.2 Establish Index
- 3.3 Matching Image
- 4 Experiment and Analysis
- 5 Concluding Remarks
- References
- An Improved ICS Honeypot Based on SNAP7 and IMUNES
- Abstract
- 1 Introduction
- 2 Related Works
- 3 The Proposed Scheme
- 3.1 The Design of a Single Honeypot Node
- 3.2 The Framework of Our ICS Honeynet
- 3.3 The Construction of ICS Honeynet
- 4 Experiments and Analysis
- 5 Conclusions and Future Works
- References
- Analysis of Dynamic Change Regulation of Water and Salt in Saline-Alkali Land Based on Big Data
- Abstract
- 1 Introduction
- 2 Data and Methods
- 2.1 Survey of the Research Area
- 2.2 Data Preprocessing
- 2.3 Method
- 3 Results and Analysis
- 3.1 Dynamic Analysis of Soil Temperature
- 3.2 Dynamic Analysis of Soil Water and Salt
- 3.3 Dynamic Analysis of PH
- 3.4 Correlation Analysis
- 4 Conclusion
- Acknowledgements
- References
- Analysis of LSTM-RNN Based on Attack Type of KDD-99 Dataset
- Abstract
- 1 Introduction
- 2 Related Work
- 3 KDD 99 Dataset and LSTM-RNN
- 3.1 Subsets of KDD-99
- 3.2 LSTM-RNN
- 4 Experiments and Results
- 5 Conclusion and Future Work
- Acknowledgment
- References
- Analysis of Price Fluctuation Characteristics and Influencing Factors of Garlic Based on HP Filter Method
- Abstract
- 1 Introduction
- 2 Selection and Method of Data and Materials
- 2.1 Data Material
- 2.2 Research Methods
- 3 Results and Analysis
- 3.1 Monthly Wholesale Price Fluctuation Analysis of Garlic
- 3.2 Analysis of Seasonal Adjustment Results
- 3.3 Seasonal Factor Analysis and Analysis of Irregular Factor Sequences
- 3.4 HP Filter Analysis
- 4 Summary and Suggestion
- 4.1 Conclusion
- 4.2 Expectations
- Acknowledgments
- References
- Application of Extensible Mind Mapping in Retirement Paradox Solution
- Abstract
- 1 Introduction
- 2 Procedures of Solving the Problem
- 2.1 Problem Modeling
- 2.2 Extensible Analysis
- 2.3 Extensible Transformation
- 2.4 Superiority Evaluation
- 3 Conclusion and Future Work
- Acknowledgements
- References
- Big Data Equi-Join Optimization Algorithms on Spark Cloud Computing Platform
- Abstract
- 1 Introduction
- 2 Compressed Bloom Filter Join Algorithm and Extension Algorithm
- 2.1 Compressed Bloom Filter Join Algorithm
- 2.2 Compressed Bloom Filter Join Algorithm Performance Analysis
- 2.3 Compressed Bloom Filter Join Extension Algorithm
- 3 Experimental Evaluation
- 3.1 Experimental Setup
- 3.2 CBF Join Experimental Results
- 3.3 CBF-Extension Experimental Results
- 4 Conclusion and Future Work
- References
- Blocking Time-Based MPTCP Scheduler for Heterogeneous Networks
- 1 Introduction
- 2 Motivation
- 3 Operation of MPTCP-BT Scheduling
- 4 Performance Evaluation in MPTCP-BT
- 4.1 Experimental Environment Setup
- 4.2 Impact of Data Stream
- 4.3 Impact of Receiver Buffer
- 4.4 Impact of Bandwidth
- 4.5 Impact of RTT
- 4.6 Number of Out of Order Packets at Receiver Buffer
- 5 Conclusions
- References
- Cloud Computing Data Security Protection Strategy
- Abstract
- 1 Cloud Computing Overview
- 2 The Characteristics of Cloud Computing
- 3 The Status of Cloud Computing Research
- 4 The Existence of Data Security Problems in Cloud Computing Environment
- 4.1 Data Sharing Security Issues
- 4.2 Data Segregation Security
- 4.3 Access Control Technology
- 4.4 Data Damage
- 5 Data Security Protection Strategy in Cloud Computing Environment
- 5.1 Encrypt Static Data
- 5.2 Improve Data Encryption Technology for Big Data Cloud Computing
- 5.3 Research on Data Recovery Technology in Cloud Storage Environment
- 5.4 System Model
- 5.5 Make Data Backup
- 6 Conclusions
- References
- Clustering Model Based on RBM Encoding in Big Data
- Abstract
- 1 Introduction
- 2 Profile of Deep Learning and RBM
- 3 Clustering Technology Profile
- 4 Clustering Model Combined with Deep Learning
- 5 Experimental Results and Analysis
- 5.1 Experimental Parameters
- 5.2 Experimental Data Sets
- 5.3 Experimental Results Analysis
- 6 Conclusions
- Acknowledgments
- References
- Criteria Interdependence in Fuzzy Multi-criteria Decision Making: A Survey
- 1 Introduction
- 2 Definitions of Fuzzy Sets
- 3 Background: Aggregation Functions and Bonferroni Means
- 4 Criterion Correlations Based on Bonferroni Means
- 5 Conclusion
- References
- DBHUB: A Lightweight Middleware for Accessing Heterogeneous Database Systems
- 1 Introduction
- 2 Design
- 2.1 Goals
- 2.2 Overview
- 2.3 Techniques of DBHUB
- 2.4 Discussion
- 3 Implementation
- 4 Evaluation
- 4.1 Experimental Setup
- 4.2 Results
- 5 Related Work
- 6 Conclusion
- References
- Design a New Dual Polarized Antenna Using Metallic Loop and Annular-Ring Slot
- Abstract
- 1 Introduction
- 2 Antenna Design
- 2.1 Architecture
- 2.2 Parameters Discussion
- 3 Simulation Results
- 4 Conclusions
- References
- Design and Implementation of Web Crawler Based on Coroutine Model
- Abstract
- 1 Introduction
- 2 Related Work
- 2.1 Presentation of Requirements
- 2.2 Programming Model Based on Multi-process
- 2.3 Programming Model Based on Multithreading
- 2.4 Limitations of Existing Programming Models
- 2.5 Technical Basis of Coroutine
- 3 Application of Crawler System Based on Coroutine
- 3.1 Integral Process
- 3.2 Detailed Design and Implementation
- 4 Results and Analysis
- 5 Conclusion
- References
- Design and Research on B2B Trading Platform Based on Consortium Blockchains
- Abstract
- 1 Research Background and Significance
- 2 Related Key Technology Research and Model Design
- 2.1 Analysis of Key Technologies
- 2.2 Model Design
- 3 System Architecture Design
- 3.1 Network Structure Design of Consortium Blockchain
- 3.2 Node System Architecture Design in the Network
- 4 Experimental Design and Results Analysis
- 4.1 View Container Cloud Platform and Related Service Deployment List
- 4.2 Test ActiveMQ High Availability Clusters and Results Analysis
- 4.3 Test Platform Transfer Transaction
- 5 Summary
- Acknowledgements
- References
- Design and Simulation of a New Stacked Printed Antenna
- Abstract
- 1 Introduction
- 2 The Design of the Antenna
- 3 Simulation Results and Analysis
- 4 Processing and Testing
- 5 Conclusions
- References
- Digital Continuity Guarantee of Electronic Record Based on Data Usability in Big Data Environment
- Abstract
- 1 Introduction
- 2 Problem Description
- 2.1 From Digital Continuity to Data Usability
- 2.2 Data Availability
- 2.3 Data Completeness
- 3 Digital Continuity of Electronic Record Based on Data Usability
- 3.1 Availability of Electronic Record Based on Coding Theory
- 3.1.1 Coding of Electronic Record
- 3.1.2 Verification of Electronic Record
- 3.1.3 Recovery of Electronic Record
- 3.2 Completeness of Electronic Record
- 3.2.1 Completeness of Electronic Record Based on Functional Dependency Theory
- 4 Conclusion
- Acknowledgments
- References
- Distributed Monitoring System for Microservices-Based IoT Middleware System
- Abstract
- 1 Introduction
- 1.1 Background
- 1.2 Motivations and Challenges
- 1.3 Contributions
- 2 Related Works
- 3 System Design
- 3.1 Architecture
- 3.2 Metrics Measurement
- 3.3 Traces Measurement
- 3.4 Cloud Native
- 3.5 Big Data Storage Component
- 3.6 Kubernetes Orchestration
- 4 Implementation and Evaluation
- 4.1 Implementation Details
- 4.2 Evaluation Results
- 5 Conclusion
- References
- Efficient Processing of Top-K Dominating Queries on Incomplete Data Using MapReduce
- 1 Introduction
- 2 Related Work
- 3 Preliminaries
- 3.1 Basic Definitions
- 3.2 MapReduce
- 4 Proposed Approach: TKDI-MR
- 5 Experiments
- 5.1 The Effect of Dataset Size
- 5.2 The Effect of Missing Rate
- 5.3 Experiments on Real Datasets
- 6 Conclusion
- References
- Energy-Efficient Cloud Task Scheduling Research Based on Immunity-Ant Colony Algorithm
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Model Establishment
- 4 Ant Colony Algorithm
- 4.1 Pheromone Initialization
- 4.2 Transfer Probability
- 4.3 Pheromone Update
- 5 Immunity-Ant Colony Algorithm
- 5.1 Combination of Immunity Algorithm and Ant Colony Algorithm
- 5.2 Vaccine Extraction
- 5.3 Mutation Operation
- 5.4 Authors and Affiliations
- 5.5 Pheromone Mapping
- 6 Performance Evaluation
- 6.1 Experimental Evaluation
- 6.2 Experimental Results and Analysis
- 7 Conclusion and Future Work
- References
- Enhancing Location Privacy for Geolocation Service Through Perturbation
- 1 Introduction
- 2 System Model
- 3 Our Proposed Schemes
- 3.1 Privacy Level
- 3.2 Perturbation Scheme
- 4 Experimental Results
- 4.1 Correctness of Geolocation
- 5 Related Works
- 6 Conclusion
- References
- Facebook5k: A Novel Evaluation Resource Dataset for Cross-Media Search
- 1 Introduction
- 2 Proposed Dataset
- 2.1 Dataset Collection
- 2.2 Dataset Characteristics
- 2.3 Potential Application Scenario
- 2.4 Example Images
- 3 Diversity of the Image Collection
- 4 Ground Truth for 8 Feelings
- 5 Training Set Construction
- 6 Noise in the Dataset
- 7 Discussion
- 8 Conclusion and Future Work
- References
- Greedy Embedding Strategy for Dynamic Graphs Based on Spanning Tree
- 1 Introduction
- 2 Related Work
- 3 Dimensional Expanding Strategy
- 4 Conclusions
- References
- Heterogeneous Cloud Resources Management: Truthful Mechanism Design in Shared Multi-minded Users
- 1 Introduction
- 1.1 Related Work
- 1.2 Organization
- 2 Preliminary
- 3 Truthful Optimal Mechanism for VMPAHM
- 4 Truthful Approximation Mechanism for VMPAHM
- 4.1 Properties
- 5 Experimental Results
- 5.1 Experiment Setup
- 5.2 Analysis of Results
- 6 Conclusion and Future Work
- References
- Hyper-graph Regularized Multi-view Matrix Factorization for Vehicle Identification
- 1 Introduction
- 2 Related Works
- 3 Approach
- 3.1 Formulation
- 3.2 Optimization
- 4 Experiment
- 4.1 Experimental Settings
- 4.2 Experimental Results and Analysis
- 5 Conclusions
- References
- Inconsistent Selection of Optimal Frame Length in WMSN
- Abstract
- 1 Introduction
- 2 The Model of Energy Consumption
- 3 The Implementation of Algorithm
- 4 Experiment
- 4.1 A Subsection Sample
- 4.2 Experiment Procedure and Result Analysis
- 5 Conclusion
- References
- Influence Maximization Algorithm in Social Networks Based on Three Degrees of Influence Rule
- Abstract
- 1 Research Background
- 2 Research Status Quo
- 2.1 Heuristic Algorithms
- 2.2 Greedy Algorithm
- 3 Experimental Results and Analysis
- 3.1 Selection of Data Sets
- 3.2 Simulation of True Value of Nodes' Influence
- 3.3 Results and Analysis
- 4 Conclusion
- Acknowledgments
- References
- Influencing Factors Analysis of Desert Precipitation Based on Big Data
- Abstract
- 1 Introduction
- 2 Experimental Materials
- 2.1 Data Sources and Process
- 2.2 Method
- 3 Model Construction
- 3.1 Stability Test
- 3.2 Lag Test
- 3.3 Co-integration Test
- 3.4 Granger Causality Test
- 3.5 VAR Model
- 3.6 Stationarity Test
- 4 Results and Analysis
- 4.1 Impulse Response
- 4.2 Variance Decomposition
- 5 Conclusion
- Acknowledgements
- References
- Interactive Construction of Criterion Relations for Multi-criteria Decision Making
- 1 Introduction
- 2 Related Work
- 3 Interactive Criterion Relation Construction and Decision Making
- 3.1 Interpretive Structural Modeling
- 3.2 Supportive and Conflict Power for Criterion Ranking
- 3.3 Criterion Partition Based on Stable Reachability Matrix
- 4 Conclusion
- References
- Iteratively Modeling Based Cleansing Interactively Samples of Big Data
- 1 Introduction
- 2 Preliminaries
- 2.1 Loss Function
- 2.2 Conjugate Gradient Algorithm
- 3 Iteratively Modeling Based Cleansing Interactively Samples
- 3.1 Updating Model
- 3.2 P-Gradient Descent Sampling Algorithm Based d-k-Means
- 4 Experiment
- 4.1 Experimental Environment
- 4.2 Experimental Data
- 4.3 Experimental Results and Analysis
- 5 Conclusion
- References
- Label Noise Detection Based on Tri-training
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Our Approach
- 4 Experiments
- 5 Conclusions
- References
- Long Short Term Memory Model for Analysis and Forecast of PM2.5
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Model
- 3.1 Analysis and Selection of Eigenvalues
- 3.2 Randomforest
- 3.3 Encoder-Decoder Model
- 3.4 Stack LSTM Sequential Model
- 4 Experiments
- 4.1 Data Sources
- 4.2 Evaluate Metric
- 4.3 Features Selection
- 4.4 Forecasting Result
- 4.5 Comparison and Analysis of Experimental Results
- 5 Conclusion
- Acknowledgements
- References
- Matching Algorithm of Composite Service Based on Indexing Mechanism in BPM
- Abstract
- 1 Introduction
- 2 The Definitions of Related Conception
- 2.1 Service Model
- 2.2 Rules of Service Matching
- 3 Service Indexing Mechanism
- 3.1 Create Index Table of Service
- 3.2 Indexing Based on Product Categories
- 3.3 Service Matching Based on Index Table
- 4 Matching Algorithm SMOS and Analysis of Time Complexity
- 5 Experimental Analysis
- 5.1 Space Complexity and Time Complexity Analysis of Algorithm ServiceMatchOnSubset
- 5.2 The Feasibility of Algorithm ServiceMatchOnSubset and Comparison with Existing Algorithms
- 6 Conclusion
- References
- MFI-5 Based Similarity Measurement of Business Process Models
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Construction of Similarity Feature Set
- 3.1 Meta-model for Process Model Registration
- 3.2 Process Model Description Framework and Similarity Feature Sets Based on MFI-5
- 4 Similarity Measurement of Process Model
- 4.1 Description of Process Model
- 4.2 Identification and Quantification of BPMN Models
- 4.3 Tanimoto Coefficient-Based Similarity Calculation of Vector
- 4.4 Steps for Similarity Measurement
- 5 Conclusion
- Acknowledgment
- References
- MLS-Join: An Efficient MapReduce-Based Algorithm for String Similarity Self-joins with Edit Distance Constraint
- Abstract
- 1 Introduction
- 2 Problem Formulation
- 3 The MLS-Join Framework
- 3.1 Count Stage
- 3.2 Filter Stage
- 3.3 Verify1 Stage
- 3.4 Verify2 Stage
- 3.5 Length-Aware Verification
- 4 Experiment
- 4.1 Experiment Environment
- 4.2 Performance
- 5 Conclusion
- Acknowledgements
- References
- Multi-dimensional Regression for Colour Prediction in Pad Dyeing
- Abstract
- 1 Introduction
- 2 Preliminaries
- 2.1 Multi-dimensional Regression
- 2.2 BPNN
- 2.3 M-SVR
- 2.4 CIELAB
- 3 Methodology
- 3.1 Model
- 3.2 Implementation
- 4 Experiments
- 4.1 Raw Data
- 4.2 Setup
- 4.3 Results
- 4.4 Discussion
- 5 Conclusion
- References
- Multi-situation Analytic Hierarchy Process Based on Bayesian for Mobile Service Recommendation
- Abstract
- 1 Introduction
- 2 Related Research
- 3 Description of MSAHPB
- 3.1 The Idea of MSAHPB
- 3.2 Construction of MSAHPB
- 4 Instance Evolution and Analysis
- 4.1 Procedure of Experiment
- 4.2 Analysis of Results
- 5 Conclusions
- Acknowledgements
- References
- Multi-source Enterprise Innovation Data Fusion Method Based on Hierarchy
- Abstract
- 1 Introduction
- 2 Information Fusion Model Based on Data Layer
- 2.1 Data Collection
- 2.2 Data Information Model
- 3 Information Fusion Model Based on Feature Layer Fusion
- 4 Information Fusion Model Based on Decision Layer Fusion
- 4.1 Fuzzy Information Granulation
- 4.2 Support Vector Machine Prediction Model
- 5 Analysis of Experimental Results
- 6 Conclusion
- Acknowledgment
- References
- Network Public Opinion Emotion Classification Based on Joint Deep Neural Network
- Abstract
- 1 Introduction
- 2 Related Work
- 2.1 Sentiment Classification Research
- 2.2 Research on Sentiment Classification Based on Deep Learning
- 3 Joint Deep Neural Network
- 3.1 Fundamental
- 3.2 Feature Extraction Based on Convolution
- 3.3 LSTM
- 3.4 Word Vector Training
- 4 Experimental Results and Analysis
- 4.1 Experimental Dataset
- 4.2 Model Parameter Settings
- 4.3 Experimental Results
- 5 Summary and Outlook
- References
- Optimizing Cuckoo Feature Selection Algorithm with the New Initialization Strategy and Fitness Function
- 1 Introduction
- 2 Related Work
- 2.1 L1-Norm
- 2.2 Information Gain
- 2.3 Chebyshev Chaotic Sequence
- 3 BCS Algorithm
- 4 FS_CSO Algorithm
- 4.1 Initialization Strategy
- 4.2 Fitness Function
- 5 Experimental Results and Analysis
- 5.1 Datasets
- 5.2 Parameter Setting
- 5.3 Comparison of Experimental Results
- 6 Conclusions
- References
- Prediction of Garlic Price Based on ARIMA Model
- Abstract
- 1 Introduction
- 2 ARIMA Model Principle
- 3 ARIMA Model Establishment
- 3.1 R Language Overview
- 3.2 Model Establishment
- 4 Experiment Procedure
- 4.1 Data Sources
- 4.2 Experimental Procedure
- 5 Conclusions and Suggestions
- Acknowledgements
- References
- Author Index
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Copy protection: Watermark-DRM (Digital Rights Management)
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