Multi-disciplinary Trends in Artificial Intelligence

Name: Multi-disciplinary Trends in Artificial Intelligence | 9th International Workshop, MIWAI 2015, Fuzhou, China, November 13-15, 2015, Proceedings
Brand: Springer
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9th International Workshop, MIWAI 2015, Fuzhou, China, November 13-15, 2015, Proceedings

Antonis Bikakis Xianghan Zheng(Herausgeber*in)

Springer (Verlag)

Erschienen am 28. November 2015

XX, 458 Seiten

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978-3-319-26181-2 (ISBN)

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Inhalt

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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