Intelligent Information Processing IX

Name: Intelligent Information Processing IX | 10th IFIP TC 12 International Conference, IIP 2018, Nanning, China, October 19-22, 2018, Proceedings
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10th IFIP TC 12 International Conference, IIP 2018, Nanning, China, October 19-22, 2018, Proceedings

Zhongzhi Shi Eunika Mercier-Laurent Jiuyong Li(Herausgeber*in)

Springer (Verlag)

Erschienen am 10. Oktober 2018

XVIII, 448 Seiten

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978-3-030-00828-4 (ISBN)

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Inhalt

Intro
Preface
Organization
Keynote and Invited Presentations
Advances in Transfer Learning
Grounding and Learning About Human Environments and Activities for Autonomous Robots
Artificial Intelligence Overview and Impacts
Is Knowledge Engineering Out-of-Date?
Deep Learning Based Image Interpretation
Effective Utilization of Genomic Data
Contents
Machine Learning
Public Opinion Clustering for Hot Event Based on BR-LDA Model
1 Introduction
2 Related Work
3 Model
3.1 Data Preprocessing
3.2 Opinion Clustering
4 Experiments
4.1 Dataset Description
4.2 Evaluation Metrics
4.3 Experimental Results and Discussion
5 Conclusion
References
Improved Ensemble Extreme Learning Machine Regression Algorithm
Abstract
1 Introduction
2 Review of ELM and CV-ELM
2.1 Extreme Learning Machine
2.2 CV-ELM
3 Improved Ensemble Extreme Learning Machine
4 Experiment and Analysis
5 Conclusions
References
A K-AP Clustering Algorithm Based on Manifold Similarity Measure
Abstract
1 Introduction
2 Basic K-AP Clustering
3 Manifold Similarity Measure
4 K-AP Clustering Based on Manifold Similarity Measure
5 Experimental Analysis
5.1 Clustering on Synthetic Datasets
5.2 Clustering on Real World Datasets
6 Conclusions
Acknowledgements
References
Multi-view Restricted Boltzmann Machines with Posterior Consistency
Abstract
1 Introduction
2 Restricted Boltzmann Machines with Posterior Consistency for Two-View Classification
2.1 Restricted Boltzmann Machines with Posterior Consistency for Two-View Data
2.2 Inference and Learning Procedure for Two-View Data
3 Extensions of Restricted Boltzmann Machines with Posterior Consistency
3.1 Extensions for Multi-view Data
3.2 Exponential Family Restricted Boltzmann Machines with Posterior Consistency for Real Data
4 Experiments
4.1 Learning Results on Two-Class Data Sets
4.2 Results and Evaluation
5 Conclusions
Acknowledgements
References
Mass-Based Density Peaks Clustering Algorithm
Abstract
1 Introduction
2 Related Works
2.1 Density Peaks Clustering Algorithm
2.2 Mass-Based Similarity Measure
3 Mass-Based Density Peaks Clustering Algorithm
4 Experiments
4.1 Experimental Preparation
4.2 Results and Evaluation
5 Conclusions
Acknowledgements
References
Deep Learning
Forward Learning Convolutional Neural Network
1 Introduction
2 The Principle of Forward Learning Convolutional Neural Network
2.1 Forward Learning Convolutional Neural Network
3 Experimental Setup
3.1 Datasets
3.2 Implementation Details
4 Results and Discussion
4.1 Classification Units with Uniform Targets
4.2 Classification Units with Different Targets
4.3 Faster Solving in Small Dataset
5 Conclusion
References
A Deep Learning Approach Based on CSP for EEG Analysis
Abstract
1 Introduction
2 Methods
2.1 Band-Pass Filtering
2.2 CSP Algorithm
2.3 Joint Optimization Using Backpropagation
3 Experiments with BCI Competition Datasets
3.1 BCI Competition II, Dataset III
3.2 BCI Competition IV, Dataset 2a
4 Conclusion
References
Automatic Driving Decision Algorithm Based on Multi-dimensional Deep Space-Time Network
Abstract
1 Introduction
2 Data Collection and Data Processing
3 Feature Extraction of Dates
4 Driver Decision-Making Model Training
5 Model Test
6 Conclusions
References
Tourist Attraction Recommendation Based on Knowledge Graph
Abstract
1 Introduction
2 Design and Implementation of Tourist Attraction Knowledge Graph
3 Tourist Attraction Recommendation Model Based on Knowledge Graph
3.1 Generate Node Sequences
3.2 Learning Sequence Features
3.3 Recommend List Generation
4 Conclusion and Future Work
Acknowledgements
References
Multi-agent System
Elite Opposition-Based Selfish Herd Optimizer
Abstract
1 Introduction
2 Selfish Herd Optimizer (SHO)
2.1 Initializing the Population
2.2 Herd Movement Operator
2.3 Predators Movement Operators
2.4 Predation Phase
2.5 Restoration Phase
3 Elite Opposition-Based Selfish Herd Optimizer (EOSHO)
4 Simulation Experiments and Result Analysis
4.1 Experimental Setup
4.2 Comparison of Each Algorithm Performance
5 Conclusions and Future Works
Acknowledgements
References
The Effects of Fixed-Strategy Agents on Local Convention Emergence in Multi-agent Systems
Abstract
1 Introduction
2 Related Work
3 System Model
3.1 Social Learning Model and the Pure Coordination Game
3.2 Local Conventions
3.3 Conformity
3.4 Network Topology
3.5 Placement of Fixed-Strategy Agents
4 Experimental Results
4.1 The Speed of Local Convention Emergence
4.2 Convincingness of the Fixed-Strategy Agents
4.3 Placement Strategies
4.4 Varying the Separation Degree
5 Conclusions and Future Work
A Multi-agent Framework that Facilitates Decoupled Agent Functioning
Abstract
1 Introduction
2 Literature Review
2.1 Definitions
2.2 Standards
2.3 Existing Solutions
3 Materials and Methods
4 Results
5 Conclusion
References
Design and Implementation of Smart Home Cloud System Based on Kinect
Abstract
1 Introduction
2 Overall Structure of the System
3 Kinect Model Establishment, Data Classification Recognition
3.1 Skeletal Structure Recognition Principle
3.2 The Selection and Optimization of Bone Features
3.2.1 Dataset Construction and Feature Selection
3.2.2 SVM Parameter Optimization and Feature Screening
4 System Implementation
4.1 Kinect Online Real-Time Character Recognition System
4.2 Based on Kinect Gesture Recognition Control Home
4.3 Analysis of Results
5 Conclusions
References
Neural Computing and Swarm Intelligence
Attribute Grid Computer Based on Qualitative Mapping for Artificial Intelligence
Abstract
1 Introduction
2 Qualitative Mapping of Conjunction Property Judgment
3 Attribute Grid Computer Based on Qualitative Mapping
4 Attribute Grid Computer for Pattern Recognition
5 Relation Between Probability and (Fuzzy) Degree of Conversion Function
6 From Classification Model to Recognition Model
References
A Byproduct of a Differentiable Neural Network-Data Weighting from an Implicit Form to an Explicit Form
Abstract
1 Introduction
2 Structure of a Differentiable Neural Network
3 Data Weighting
3.1 Data Weighting Analysis
3.2 Data Weighting Implementation
4 Experiments
4.1 Low Dimensional Data Weighting
4.2 High Dimensional Data Weighting
4.3 Data Weighting for Continuous Outputs
4.4 BPNN Feature Weighting Advantages
5 Conclusion
Acknowledgment
References
A Simplex Method-Based Salp Swarm Algorithm for Numerical and Engineering Optimization
Abstract
1 Introduction
2 Related Works
3 The Proposed SMSSA Approach
4 Simulation Experiments
4.1 Simulation Platform
4.2 Benchmark Functions
4.3 Unimodal Benchmark Functions
4.4 Multimodal Benchmark Functions
5 SMSSA for Engineering Optimization Problems
6 Conclusion
Acknowledgment
References
Energy Conservation for Wireless Mesh Networks: A PSO Approach with Throughput-Energy Consumption Scheme Using Solar Energy
Abstract
1 Introduction
2 System Model
2.1 Network Model
2.2 Energy Model
2.3 Traffic Model
2.4 Optimization Problem
3 Optimization
3.1 Using PSO Method
3.2 Using APSO Method
4 Performance Evaluation
5 Conclusion
References
Natural Language Processing
Short Text Feature Extraction via Node Semantic Coupling and Graph Structures
Abstract
1 Introduction
2 Problem Preliminaries
2.1 Semantic Intra-couplings Within Term Pairs
2.2 Semantic Inter-couplings Between Term Pairs
2.3 The Structural Features of the Graph
3 The Proposed Approach
3.1 Term Graph Construction
3.2 Vertex Weight Initialization
3.3 Calculation of Similarity Based on Semantic Coupling
3.4 Edge Weight Calculations in Text Graphs
4 Experiments and Results Analysis
4.1 Data Sets and Evaluation Metrics
4.2 Experimental Results and Analysis
5 Conclusion
Acknowledgement
References
PWA-PEM for Latent Tree Model and Hierarchical Topic Detection
Abstract
1 Introduction
2 Appearance
2.1 Pretreatment
2.2 PEM
3 Research Methods
3.1 Word Selection Based on PW_TF-IDF
3.2 Improved Aitken Accelerated PEM
4 Experimental Results
4.1 Data Sources
4.2 Conformity Assessment Method
4.3 Experiment 1
4.4 Experiment 2
4.5 Experiment 3
5 Conclusions
References
Improved Louvain Method for Directed Networks
Abstract
1 Introduction
2 Basic Knowledge
3 Calculating Modularity Gain in Directed Networks
4 Improved Louvain Method for Directed Networks
4.1 Symbols and Terms
4.2 The Algorithm
4.3 The Time Complexity and Space Complexity of ILMDN
5 Experimental Comparison and Analysis
6 Conclusion and Discussion
References
A Detail Preserving Vector Median Filter Based on Texture Analysis
Abstract
1 Introduction
2 Weighted Vector Median Filter
3 Proposed Detail Preserving Vector Median Filter
4 Experimental Results
5 Conclusions
Acknowledgements
References
Recommendation System
A DeepWalk-Based Approach to Defend Profile Injection Attack in Recommendation System
Abstract
1 Introduction
2 Related Work
3 Invasive Attack Sample Model
4 Methods
4.1 Model Based on DeepWalk
4.2 The Time Queue of User Profile
5 Result and Discussion
5.1 Network Correlation and Characteristics
5.2 Results
6 Conclusions
Acknowledgement
References
An Improved Recommender for Travel Itineraries
1 Introduction
2 Related Work
2.1 Previous Work
2.2 Word2Vec
2.3 X-Means Clustering Algorithm
2.4 Tag-Based Recommendation Algorithm
2.5 Summary
3 An Itinerary Recommender
3.1 Selection of Attractions
3.2 Planning of Daily Itineraries
3.3 Selection of Hotels
4 Experiments
4.1 Evaluation Metrics
4.2 Methodologies, and Experimental Settings
4.3 Results and Analysis
5 Conclusions
References
Constrained Probabilistic Matrix Factorization with Neural Network for Recommendation System
1 Introduction
2 Constrained Probabilistic Matrix Factorization with Neural Network
2.1 User Latent Feature Modeling
2.2 Item Latent Feature Modeling
2.3 Fusion of Latent Features
3 Experiments
3.1 Experimental Environment and Datasets
3.2 Baselines and Parameter Settings
3.3 Evaluation Protocols
3.4 Experimental Results
4 Conclusions and Future Work
References
Cooperative Filtering Program Recommendation Algorithm Based on User Situations and Missing Values Estimation
Abstract
1 Introduction
2 Related Work
2.1 Cold Start and User Situations Analysis
2.2 Data Sparse and Missing Values Estimation
3 Bum
3.1 User Scenario Analysis
3.2 Default Value Supplementation Based on User Preferences
4 Experiments
4.1 Dataset
4.2 Experimental Setup
4.2.1 Measurement
4.2.2 User Clustering
4.2.3 Experimental Process
4.3 Results and Analysis
5 Conclusion
Acknowledgment
References
Social Computing
Towards a Modeling Framework of Social Contexts, Roles and Relations for Acquiring Role-Specific Rules
Abstract
1 Introduction
2 Modeling Social Contexts and Roles
3 Modeling Relations and Relational Roles
4 Using the Modeling Framework to Acquire Role-Specific Rules from Story Episodes
4.1 Acquiring Seed Role-Specific Rules from Story Episodes
4.2 Expanding the Role-Specific Seed Rules
5 Conclusion and Discussion
Acknowledgments
References
Microblog Hot Event Detection Based on Restart Random Walk and Modularity
Abstract
1 Introduction
2 Preliminary Knowledge
2.1 Hot Degree
2.2 Co-occurrence Degree Between Words
3 Acquire Association Relationship Between Words
3.1 Construct Graph Model
3.2 Restart Random Walk on Graph
4 Find Hot Event Using Modularity
4.1 Modularity
4.2 Hot Event Detection Algorithm
5 Experimental Results and Analysis
5.1 Experimental Data
5.2 Comparative Analysis on the Results
6 Conclusions
Acknowledgments
References
Immersive Virtual Reality Utilizing Hand Gesture Capture as a Replacement for Traditional Controls
1 Introduction
2 Input Hardware
3 Model Overview
4 Implementation
5 Results
References
Using System Dynamics for Predicting an Organization's Procurement Performance
Abstract
1 Introduction
2 System Dynamics Modelling for Predicting the Performance of the Procurement Process
3 Model Validation
3.1 Variable Selection
3.2 Consistency of Dimensions
3.3 Model Behaviour in Extreme Conditions
4 Conclusion
References
Business Intelligence and Security
A Ciphertext-Policy Attribute-Based Encryption Based on Multi-valued Decision Diagram
1 Introduction
2 Related Work
3 Background Knowledge
3.1 Bilinear Map and Bilinear Group
3.2 CP-ABE
3.3 Access Structure
3.4 MDD
4 A CP-ABE Scheme Based on MDD
4.1 Access Structure Based on MDD
4.2 Main Process of the CP-ABE Based on MDD
4.3 Analysis of Capacities and Efficiency
5 Conclusion and Further Work
References
KPI Data Anomaly Detection Strategy for Intelligent Operation and Maintenance Under Cloud Environment
Abstract
1 Introduction
2 The Core Idea
3 Automatic Anomaly Detection Method
3.1 KPI Data Feature Perception
3.2 Automatic Adjustment of Time Series Model
4 Experiment
4.1 Experimental Design
4.2 Evaluation Index
4.3 Experimental Results
4.3.1 Verification of Anomaly Detection Effect
4.3.2 Optimization Verification of Iterative Process
5 Related Work
6 Conclusion
Acknowledgment
References
A Customer Segmentation Model Based on Affinity Propagation Algorithm and Improved Genetic K-Means Algorithm
1 Introduction
2 Related Work
3 AP-GKAs
3.1 Extract Feature
3.2 Determine the Clustering Quantity
3.3 Cluster
4 Experiments
4.1 Results Based on ORDS
4.2 Results Based on CBDS
5 Conclusions
References
Personal Credit Risk Assessment Based on Stacking Ensemble Model
Abstract
1 Introduction
2 Model Strategy and Design
2.1 Model Strategy
2.2 Model Design
3 Experiments
3.1 Data Pre-Processing
3.2 Model Training
3.3 Model Results
4 Conclusion
Acknowledgments
References
Pattern Recognition
A Replay Speech Detection Algorithm Based on Sub-band Analysis
Abstract
1 Introduction
2 Database
3 Sub-band Analysis
3.1 Sub-band Division and Analysis
3.2 GMM Models and Performance Indicators
3.3 Sub-band Division and Analysis
4 Filter Banks Design
4.1 Linear Filter Design
4.2 Mel, Linear, and I-Mel Filter Design
5 Results and Discussion
6 Conclusions
Acknowledgments
References
Hybrid Pyramid U-Net Model for Brain Tumor Segmentation
1 Introduction
2 Methodology
2.1 HPU-Net Model
2.2 Hybrid Pyramid Network
3 Evaluation
3.1 Implementation
3.2 Cross Validation
3.3 Results Analysis
4 Conclusion
References
Image Semantic Description Based on Deep Learning with Multi-attention Mechanisms
Abstract
1 Introduction
2 Related Work
3 Deep Neural Network Model Based on Multi-attention Mechanism
3.1 CNN for Feature Extraction
3.2 LSTM for Sequences' Predict
3.3 Multi-attention Mechanism
4 Experiments
4.1 Experimental Environment and Parameter Deployment
4.2 Evaluating Indicator
4.3 Results and Discussion
5 Conclusions
References
Bayesian Linear Regression Model for Curve Fitting
Abstract
1 Introduction
2 Bayesian Probabilistic Regression Model for Curve Fitting
3 Experimental Results and Discussions
4 Conclusions
References
Image Understanding
A Texture Synthesis Steganography Scheme Based on Super-Pixel Structure and SVM
Abstract
1 Introduction
2 Proposed Method
3 Steganography Algorithm
3.1 Data Hiding
3.2 Data Extraction
4 Experimental Results and Analysis
5 Conclusion
Acknowledge
References
The Design and Implementation of the Curved Road Radar Early-Warning System
Abstract
1 Introduction
2 The Design Concept
3 Hardware Design
3.1 Brief Introduction of Traffic Radar
3.2 Brief Introduction of Microprocessor and Interface Circuits
3.3 System Power Supply
4 Software Design
5 System Working Flow
6 Test and Analysis
6.1 System Testing and Statistics
6.2 System Analysis
7 Conclusions
References
Application of Skin Color Model in Image Segmentation
Abstract
1 Introduction
2 Image Segmentation and Skin Color Model
2.1 Motion Based Segmentation Method
2.2 Segmentation Method Based on Special Color Markers
2.3 Contour Based Segmentation Method
2.4 Segmentation Method Based on Infrared Camera
2.5 Segmentation Method Based on Skin Color Detection
3 Method
4 Experimentation
5 Analysis and Summary
Acknowledgement
References
Gait Recognition Based on EMG Information with Multiple Features
Abstract
1 Introduction
2 Methods
2.1 Data Acquisition
2.2 Data Processing
2.3 Gait Phase
3 Results and Discussion
3.1 Cross Validation
3.2 Time Domain (TD) Features
3.3 Frequency Domain (FD) Features
3.4 Time Domain and Frequency Domain Features
3.5 Muscle Number Effect
3.6 Discussion
4 Conclusion
References
A Web-Based Platform for Segmentation of Abdominal Organs on CT Images
Abstract
1 Introduction
2 Methods
2.1 Web Programming Platform and Virtual Server
2.2 DICOM File Format
2.3 Segmentation of Abdominal Organ
3 Results
3.1 Liver Segmentation
3.2 Cross-Platform
4 Conclusions
Acknowledgments
References
An Insider Threat Detection Method Based on User Behavior Analysis
Abstract
1 Introduction
2 Related Work
3 Our Approach
3.1 Feature Extraction
3.1.1 Form Baseline
3.1.2 Generate Fundamental Eigenvector
3.1.3 Get Aggregation Eigenvector
3.2 Detection Algorithm
4 Experiment
4.1 Evaluation of Algorithms
4.2 Evaluation of Different Aggregation Interval
5 Conclusion
Acknowledgements
References
Obstacle Detection and Tracking Based on Multi-sensor Fusion
Abstract
1 Introduction
2 Tracking Procedures Based on a Decentralized Kalman Filter
2.1 Estimation Method
2.2 Data Association Technology
2.3 Track Creation and Deletion Logic
3 Results
3.1 Tracking Algorithm Performance
3.2 Fusion System Performance
4 Conclusion
Acknowledgment
References
Non-uniform Noise Image Denoising Based on Non-local Means
Abstract
1 Introduction
2 The Proposed Method
2.1 Non-uniform Noise Model
2.2 Framework of NLM
2.3 Evaluation Operator for Noise Level and Texture Strength
2.4 Vote Strategy for Image Pixel Classification
2.5 Adaptive Setting of Denoising Parameters
3 Experimental Results and Analysis
4 Conclusions
Acknowledgments
References
Author Index

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