
Multi-disciplinary Trends in Artificial Intelligence
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This book constitutes the refereed conference proceedings of the 9th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2015, held in Fuzhou, China, in November 2015.
The 30 revised full papers presented together with 12 short papers were carefully reviewed and selected from 83 submissions. The papers feature a wide range of topics covering knowledge representation, reasoning, and management; multi-agent systems; data mining and machine learning; computer vision; robotics; AI in bioinformatics; AI in security and networks; and other AI applications.
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Content
- Intro
- Preface
- Organization
- Keynote Abstracts
- Probabilistic Programming and Its Applications (Keynote Abstract)
- A Formalization of Programsin First-Order Logic with a Discrete Linear Order (Keynote Abstract)
- Contents
- Knowledge Representation, Reasoning and Management
- Representing Time for the Semantic Web
- 1 Introduction
- 2 Background and Related Work
- 3 Temporal Representation
- 4 Temporal Reasoning
- 4.1 Reasoning Over Interval Allen Relations
- 4.2 Reasoning Over Point Relations
- 5 Combining Interval and Point Representation and Reasoning
- 6 Evaluation
- 6.1 Experimental Evaluation
- 7 Conclusions and Future Work
- References
- Construction of P-Minimal Models Using Paraconsistent Relational Model
- 1 Introduction
- 2 Preliminaries
- 3 Disjunctive Relation
- 4 P-Minimal Models for Positive Extended Disjunctive Deductive Databases
- 5 Conclusion
- References
- The Study Trend and Application Case of Research and Development Integrated Information Provision System for Small and Medium-sized Companies
- Abstract
- 1 Introduction
- 2 Related Studies
- 2.1 Trend of Related Systems
- 3 Research Trend
- 3.1 Research and Development Integrated Information Provision System for Small and Medium-sized Companies
- 3.2 Application Cases of Research and Development Integrated Information Provision System
- 4 Conclusion
- References
- iCurate: A Research Data Management System
- 1 Introduction
- 2 Background
- 2.1 Defining Research Data
- 2.2 Ontology and Linked Open Data
- 2.3 Current and Past Projects for Data Repository
- 3 Motivation
- 4 System Design - iCurate
- 4.1 Main Features
- 4.2 Meta-data and Workflow Management
- 4.3 Web Interface
- 4.4 HPC Enabled
- 4.5 Implementation
- 5 Summary
- References
- Multi-agent Systems
- Adaptive Model of Multi-objective Agent Behavior in Real-Time Systems
- 1 Introduction
- 2 Related Works
- 3 Hybrid Agent Model
- 3.1 Generic Model Definition
- 3.2 Objective Management and Actions Queue
- 3.3 Event Handling
- 3.4 Objectives Priority Factors
- 4 Proof of Concept
- 5 Conclusion
- References
- Boolean Games with Norms
- 1 Introduction
- 2 Background
- 2.1 Propositional Logic
- 2.2 Boolean Game
- 2.3 Input/Output Logic
- 2.4 Complexity Theory
- 3 From Boolean Game to Normative Multi-agent System
- 3.1 Legal Strategy
- 3.2 Legal Nash Equilibrium
- 4 Conclusion
- References
- Computational Complexity of Input/Output Logic
- 1 Introduction
- 2 Background
- 2.1 Input/output Logic
- 2.2 Complexity Theory
- 3 Complexity of Input/output Logic
- 3.1 Simple-Minded O1
- 3.2 Simple-Minded Throughput O1+
- 3.3 Simple-Minded Reusable O3
- 3.4 Simple-Minded Reusable Throughput O3+
- 4 Conclusion and Future Work
- References
- Nested Monte-Carlo Search of Multi-agent Coalitions Mechanism with Constraints
- 1 Introduction
- 2 Related Work
- 3 Preliminaries and Case Study
- 4 Coalition Formation Mechanism (CFM)
- 4.1 Constraint Graph
- 4.2 Constraint Graph Exploration with Nested Monte-Carlo Algorithm (NMC)
- 5 Conclusion
- References
- Data Mining and Machine Learning
- Robust Feature Extraction Based on Teager-Entropy and Half Power Spectrum Estimation for Speech Recognition
- Abstract
- 1 Introduction
- 2 Related Works
- 2.1 Model-Based Power Spectrum Estimation
- 2.2 Teager-Entropy
- 3 TE-MHFCC Feature Extraction
- 4 Experiment Results
- 4.1 RMSE
- 4.2 Robustness
- 5 Conclusions
- Acknowledgements
- References
- On-line Monitoring and Fault Diagnosis of PV Array Based on BP Neural Network Optimized by Genetic Algorithm
- Abstract
- 1 Introduction
- 2 Online Monitoring System
- 2.1 Power Supply Module
- 2.2 Collection Module
- 2.3 Wireless Transceiver Module
- 3 Fault Diagnosis
- 3.1 Fault Diagnosis Model
- 3.1.1 Input and Output Layer
- 3.1.2 Implicit Layer
- 3.1.3 Normalization of Input Data
- 3.2 Learning Algorithm
- 4 Simulation Analysis
- 4.1 MATLAB Simulation Results
- 5 Summary
- Acknowledgment
- References
- Elitist Quantum-Inspired Differential Evolution Based Wrapper for Feature Subset Selection
- Abstract
- 1 Introduction
- 2 Literature Review
- 2.1 Wrapper Based Feature Subset Selection
- 2.2 Differential Evolution
- 2.3 Binary Version of Differential Evolution
- 2.4 Quantum Inspired Differential Evolution
- 3 Proposed Methodology
- 4 Experimental Setup and Results
- 4.1 Feature Subsets and Accuracy
- 4.2 Convergence and Function Evaluations
- 4.3 Repeatability
- 5 Conclusions
- References
- Towards Efficiently Mining Frequent Interval-Based Sequential Patterns in Time Series Databases
- Abstract
- 1 Introduction
- 2 A Frequent Pattern Mining Task on Time Series Databases
- 2.1 Fundamental Concepts
- 2.2 A Frequent Pattern Mining Task Definition on Time Series Databases
- 3 Towards Efficiently Mining Frequent Interval-Based Sequential Patterns in Time Series Databases
- 3.1 The ARMADA-Based Algorithm
- 3.2 The FITSPATS Algorithm
- 4 Experimental Results
- 5 Conclusions
- Acknowledgments
- References
- Optimizing Ontology Learning Systems that Use Heterogeneous Sources of Evidence
- 1 Introduction
- 2 Related Work
- 3 The Ontology Learning Framework
- 3.1 The Evidence Sources
- 3.2 Source Impact
- 3.3 The Ontology Learning Process
- 4 The Optimization Process
- 4.1 Static Source Impact Values
- 4.2 Optimization
- 5 Evaluation
- 5.1 Evaluation Setup
- 5.2 Recent Optimization Experiments
- 5.3 Previous Experiments
- 5.4 Analysis of Evidence Sources
- 6 Conclusions
- References
- Machine-Learning Based Routing Pre-plan for SDN
- Abstract
- 1 Introduction
- 2 Related Works
- 2.1 SDN Introduction
- 2.2 Existing Research
- 3 Technology Roadmap
- 3.1 SDN Flow Feature Extraction Based Semi-supervised Clustering
- 3.2 SDN-Flow Demand Forecasts Based on Supervised Classification
- 3.3 Personalized SDN Flow Path Planning Based on Policy
- 4 Conclusion
- References
- Imbalanced Extreme Learning Machine Based on Probability Density Estimation
- Abstract
- 1 Introduction
- 2 Theories and Methods
- 2.1 Extreme Learning Machine
- 2.2 Relationship Between ELM and Naïve Bayes Classifier
- 2.3 Probability Density Estimation
- 2.4 Description of the Proposed Algorithm
- 3 Experiments
- 3.1 Datasets and Parameters Settings
- 3.2 Results and Discussions
- 4 Conclusions
- Acknowledgements
- References
- Computer Vision
- Integrating Simplified Inverse Representation and CRC for Face Recognition
- Abstract
- 1 Introduction
- 2 Related Works
- 2.1 CIRLRC
- 2.2 Comparison of LRC and CRC
- 3 Description of Proposed Method SIRCRC
- 3.1 SIRCRC Framework
- 3.2 Analysis of SIRCRC
- 4 Experiments
- 4.1 Experiments on the ORL Face Database
- 4.2 Experiments on the FERET Face Database
- 4.3 Experiments on the GT Face Database
- 4.4 Running Time
- 5 Conclusions
- Acknowledgments
- References
- Segmentation of Motion Capture Data Based on Measured MDS and Improved Oblique Space Distance
- Abstract
- 1 Introduction
- 2 Proposed Approach
- 2.1 The Data Dimension Reduction
- 2.2 The Segmentation of the Motion Sequences
- 3 The Analysis of Our Experiments
- 3.1 The Dimension Reduction Performance of Motion Capture Data
- 3.2 The Results of the Segmentation of the Motion Capture Data
- 4 Conclusions
- Acknowledge
- References
- Single-Sample Face Recognition Based on WSSRC and Expanding Sample
- Abstract
- 1 Introduction
- 2 CS and WSSRC
- 2.1 CS Theory
- 2.2 SRC
- 2.3 WSSRC
- 3 Generation of Redundant Sample
- 3.1 Generation of Multi-gesture Samples
- 3.2 Generation of Multi-expression Samples
- 4 Experiment Results
- 4.1 ORL Experiment
- 4.2 FERET Experiment
- 5 Conclusion
- References
- Flotation Surface Bubble Displacement Motion Estimation Based on Phase Correlation Method
- Abstract
- 1 Introduction
- 2 Phase Correlation Method
- 3 Surface Bubble Displacement Motion Estimation Method Based on Phase Correlation
- 3.1 Phase Correlation Method Based on Bubble High Gray Value Area Tracking
- 3.2 Block Phase Correlation Method
- 4 Experiment and Result
- 4.1 Lead Zinc Flotation Procedure
- 4.2 Surface Bubble Displacement Movement Data and Algorithm Analysis
- 5 Conclusion
- Acknowledgements
- References
- An Improved DCT-Based JND Model Based on Textural Feature
- Abstract
- 1 Introduction
- 2 Basic DCT-Based JND Model
- 2.1 Contrast Sensitivity Function (CSF)
- 2.2 Luminance Masking Factor (LM) Model
- 2.3 Texture Masking Factor (CM) Model
- 3 The Proposed CM Model
- 4 Experimental Results
- 5 Conclusion
- Acknowledgments
- References
- Scanned Document Images Skew Correction Based on Shearlet Transform
- Abstract
- 1 Introduction
- 2 Shearlet Transform
- 2.1 Shearlet System
- 2.2 Cone-Adapted Shearlet System
- 3 The Feasibility of Stew Detection Based on Shearlet
- 4 The Process of Skew Detection
- 5 Experimental Results
- 6 Conclusions
- References
- Classification of German Scripts by Adjacent Local Binary Pattern Analysis of the Coded Text
- 1 Introduction
- 2 The Algorithm
- 2.1 Script Mapping
- 2.2 Script Type ALBP Analysis
- 2.3 Classification
- 3 Experiment
- 4 Results and Discussion
- 5 Conclusion
- References
- Tracking and Identifying a Changing Appearance Target
- 1 Introduction
- 2 Related Works
- 3 Problem Formulation
- 4 Experimental Results and Discussion
- 5 Conclusion
- References
- Motion Detection System Based on Improved LBP Operator
- Abstract
- 1 Introduction
- 2 Paper Preparation
- 3 Background Updating
- 4 System Implementation
- 5 Experimental Results
- 6 Conclusion
- References
- Design History Retrieval Based Structural Topology Optimization
- Abstract
- 1 Introduction
- 2 Design History Retrieval
- 2.1 Topology Simplification
- 2.2 Shape and BC Similarity
- 3 Surrogate Model Based Sizing Optimization
- 4 Case Study
- 5 Conclusion
- References
- Online Detection of Moving Object in Video
- Abstract
- 1 Introduction
- 2 Backgrounds
- 3 Proposed Method
- 4 Experimental Study
- 5 Conclusion
- References
- Robotics
- Trajectory Planning to Optimize Base Disturbance of 7-DOF Free-Floating Space Manipulator Based on QPSO
- Abstract
- 1 Introduction
- 2 Kinematics Equations of 7-DOF Space Manipulator
- 2.1 Description of Rigid-Body Position and Posture
- 2.2 Kinematics Equations of 7-DOF Space Manipulator
- 3 Description of Trajectory Planning Problem of Joint Space
- 3.1 Equation of System State
- 3.2 Parameterization of Joint Trajectory
- 3.3 Definition of Fitness Function
- 4 Description of Trajectory Planning Based on QPSO
- 5 Simulations
- 6 Conclusion
- References
- Cognitive Robotics
- Abstract
- 1 Introduction
- 2 What Do Cognitive Models Offer Robotics?
- 3 What Does Robotics Offer Cognition?
- 4 Cognitive Robotics - on the Edge of Discovering New Ideas
- 4.1 Contributions to Cognitive Science
- 4.2 Contributions to Robotics
- 5 Concluding Remarks
- References
- The Design and Experiment of the Leg Model Based on Galvanic Coupling Intra-Body Communication
- Abstract
- 1 Introduction
- 2 The Manufacturing Method of Material Object
- 2.1 Reconstruction of Human Body Image
- 2.2 The Method of Making Phantom Model
- 2.3 Measurement on Electrical Conductivity of Phantom Model
- 3 Phantom Experiment and the Vivo Experiment
- 3.1 Phantom Experiment
- 3.2 The In Vivo Experiment
- 3.3 Comparison Results Between Phantom Experiment and Vivo Experiments
- 4 Conclusion
- References
- AI in Bioinformatics
- A Method of Motif Mining Based on Backtracking and Dynamic Programming
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Related Definitions
- 2.2 Random Network Generation
- 2.3 Motif Mining Based on Backtracking and Dynamic Programming
- 2.4 Backtracking
- 3 Results and Discussion
- 3.1 Verify the Validity of Our Algorithm
- 3.2 Comparison of the Number of Sub Graphs
- 3.3 Search Time Comparison
- 4 Conclusion
- Acknowledgments
- References
- RNA Sequences Similarities Analysis by Inner Products
- Abstract
- 1 Introduction
- 2 3-D Representations of RNA Secondary Structure
- 3 The Numerical Characteristics of RNA Secondary Structures
- 3.1 Numerical Characteristics of Correlation Coefficient
- 3.2 New Numerical Characteristics
- 4 The Result of 9 Kinds of RNA Viruses
- 5 Conclusions
- Acknowledgement
- References
- A Combining Dimensionality Reduction Approach for Cancer Classification
- Abstract
- 1 Introduction
- 2 Algorithm Description
- 2.1 Mutual Information
- 2.2 PCA
- 3 Methods
- 4 Experiments and Results Analysis
- 4.1 Data Sets
- 4.2 Results Analysis
- 5 Conclusion
- References
- AI in Security and Networks
- Parallel Multi-label Propagation for Overlapping Community Detection in Large-Scale Networks
- Abstract
- 1 Introduction
- 2 Label Propagation
- 3 Parallel Multi-label Propagation for Overlapping Community Detection
- 3.1 Parallel Multi-label Propagation Algorithm
- 3.2 Label Updating Strategy
- 4 Experiments
- 4.1 Methodology
- 4.2 Experimental Results
- 5 Conclusion
- Acknowledgments
- References
- ARP-Miner: Mining Risk Patterns of Android Malware
- 1 Introduction
- 2 Related Work
- 3 Methods
- 3.1 Overview of Android Risk Pattern Mining System
- 3.2 Basic Concepts
- 3.3 ARP-Miner Algorithm
- 4 Performance Evaluation
- 4.1 Application Datasets
- 4.2 Results
- 4.3 Typical Android Malware Families and Their Representative Risk Patterns
- 4.4 Malware Detection
- 5 Conclusion
- References
- Markov Based Social User Interest Prediction
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Dataset Collection and Analysis
- 4 Markov Based User Interest Modeling
- 4.1 Sole-Markov Chain Based Interest Prediction (SMC)
- 4.2 Enhanced-Markov Chain Based Interest Prediction (EMC)
- 5 Experiment Analysis
- 5.1 User Clustering
- 5.2 Prediction Comparisons Between the SMC and EMC Models
- 6 Conclusions
- Acknowledgements
- References
- Feature-Driven Formal Concept Analysis for Malware Hierarchy Construction
- Abstract
- 1 Introduction
- 2 Motivating Example
- 3 Related Works
- 3.1 Formal Concept Analysis
- 3.2 Malware Classification and Specification
- 4 Feature-Driven Formal Concept Analysis for Concept Hierarchy Construction
- 5 FOCA: Feature-Driven on-the-Fly Conceptual Clustering Algorithm
- 6 Experiments
- 7 Conclusion
- References
- Machine Learning Based Scalable and Adaptive Network Function Virtualization
- Abstract
- 1 Introduction
- 2 Related Work
- 2.1 NFV
- 2.2 SDN
- 3 Design and Architecture Framework
- 3.1 Strategy Execution Engine
- 3.2 VNF Controller
- 3.3 Monitor
- 4 Case Analysis
- 4.1 The Application of the Home Network
- 4.2 The Application of the Mobile Core Network
- 5 Conclusion
- References
- Fault Localization by Imperialist Competitive Algorithm
- Abstract
- 1 Introduction
- 2 Problem Setting and Assumptions
- 3 Proposed Method
- 3.1 Fault Localization by Imperialist Competitive Algorithm
- 4 Experimental Study
- 5 Conclusion
- References
- Other AI Applications
- A Recommender System for Mobile Commerce Based on Relational Learning
- Abstract
- 1 Introduction
- 2 Framework
- 2.1 The Overview of the System
- 2.2 Data and Task Description
- 2.3 Filling Missing Location Data
- 2.4 Imbalance of Training Set and a Novel Sampling Method
- 2.5 Effective Features
- 3 Our Model
- 3.1 Random Forest
- 3.2 Gradient Boosting Decision Tree
- 3.3 Blending Models
- 4 Evaluation
- 4.1 Metrics
- 4.2 Improvement of Our Model
- 4.3 Blending Models
- 5 Related Work
- 6 Conclusion and Future Work
- Acknowledgments
- References
- An Agent-Oriented Data Sharing and Decision Support Service for Hubei Provincial Care Platform
- Abstract
- 1 Introduction and Motivation
- 2 The Requirements of an Integrated Service in Hubei
- 3 The Design of a Data Sharing Service Across the Province
- 4 The Design of a Rule-Driven Argumentation Service
- 5 A Case Study on Hypertension Management
- 6 Discussions and Conclusions
- References
- Data Gathering with Compressive Sensing for Urban Traffic Sensing in Vehicular Networks
- Abstract
- 1 Introduction
- 2 Preliminary of Compressive Sensing
- 3 The Proposed Scheme with Compressive Sensing
- 3.1 System Model
- 3.2 Design of Representation Matrix
- 3.3 Design of Measurement Matrix
- 4 Simulations and Analysis
- 4.1 Revealing Spatial Correlation
- 4.2 Simulation Setup
- 4.3 Impact of Representation Bases
- 4.4 Impact of Random Measurement Matrices
- 5 Conclusion and Future Work
- Acknowledgements
- References
- A System Architecture for Smart Health Services and Applications
- Abstract
- 1 Introduction
- 2 Related Works
- 2.1 Smart Health Services and Applications
- 2.2 Extreme Learning Machine
- 2.3 Data Set Collection
- 3 System Overview
- 3.1 System Architecture
- 3.2 Cloud-Based Storage
- 4 Methods
- 4.1 Similarity-Based Prediction
- 4.2 ELM-Based Service Recommendation
- 5 Evaluations
- 5.1 Prototype Implementation
- 5.2 Performance Evaluation
- 5.2.1 Dataset Classification
- 5.2.2 Classification Result and Comparison
- 6 Conclusions
- References
- Author Index
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