Intelligence Science I

Name: Intelligence Science I | Second IFIP TC 12 International Conference, ICIS 2017, Shanghai, China, October 25-28, 2017, Proceedings
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Second IFIP TC 12 International Conference, ICIS 2017, Shanghai, China, October 25-28, 2017, Proceedings

Zhongzhi Shi Ben Goertzel Jiali Feng(Editor)

Springer (Publisher)

Published on 16. October 2017

XXVIII, 454 pages

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Content

Intro
Preface
Organization
Keynote and Invited Presentations
Pattern Recognition by the Brain: Neural Circuit Mechanisms
Interactive Granular Computing: Toward Computing Model for Turing Test
Optimal Mass Transportation Theory Applied for Machine Learning
Quantifying Your Brain and Identifying Brain Disease Roots
Multi-objective Ensemble Learning and Its Applications
On Intelligence: Symbiotic, Holonic, and Immunological Agents
Extreme Learning Machines (ELM) - Filling the Gap between Machine Learning and Biological Learning
How Can We Effectively Analyze Big Data in Terabytes or Even Petabytes?
Cyborg Intelligent Systems
Learning and Memory in Mind Model CAM
Factor Space and Artificial Intelligence
Contents
Theory of Intelligence Science
Ecological Methodology and Mechanism Approach
Abstract
1 Introduction
2 Ecological Methodology vs. Reductionism Methodology
2.1 Definition 1. Methodology
2.2 Definition 2. Ecology and Ecosystem
3 The Model of Intelligence Process in Perspective of Ecological Methodology
4 Mechanism Approach vs. Other Approaches
5 Major Results Due to the Mechanism Approach
6 Conclusions
References
Collaborative Model in Brain-Computer Integration
Abstract
1 Introduction
2 Conceptual Framework of Brain-Computer Integration
3 ABGP-CNN Based Environment Awareness
4 Motivation Driven Collaboration
4.1 Needs Based Motivation
4.2 Curiosity Based Motivation
4.3 Motivation Execution
4.4 Collaboration
5 Simulation Experiments
6 Conclusions
Acknowledgements
References
Entanglement of Inner Product, Topos Induced by Opposition and Transformation of Contradiction, and Tensor Flow
Abstract
1 Introduction
2 Entanglement Vectors Induced by Polarization Identity of Inner Product of Both Vectors z1 and z2
3 The Attribute Topos Induced by Mechanism of Mutual Change Between Quality and Quantity
4 The Fixation Image Operator Induced by Orthogonal Expanded of Function
4.1 The Tensor Flow Induced by Restriction Morphism F and Image Thinking
Acknowledgement
References
Go Mapping Theory and Factor Space Theory Part I: An Outline
1 Factor Space Theory (FST)
2 Formal Concept Analysis (FCA)
3 Gouguen's L-Fuzzy Sets and Barr's Embedding
4 The GO Mapping Theory (GMT)
References
Cognitive Computing
A Case-Based Approach for Modelling the Risk of Driver Fatigue
1 Introduction
2 Related Work
3 System Design
3.1 Case Representation
3.2 Case Retrieval and Reuse
4 Case Study: Based on the Traffic Crash Data in China
4.1 Evaluation Settings
4.2 Results and Discussion
4.3 Further Implications
5 Limitations and Future Work
References
Gazes Induce Similar Sequential Effects as Arrows in a Target Discrimination Task
Abstract
1 Introduction
2 Experiment 1
2.1 Participants
2.2 Apparatus and Stimuli
2.3 Design and Procedure
2.4 Results
3 Experiment 2
3.1 Participants
3.2 Apparatus and Stimuli
3.3 Design and Procedure
3.4 Results
4 Discussion
Acknowledgments
References
Discrete Cuckoo Search with Local Search for Max-cut Problem
Abstract
1 Introduction
2 Hybrid Algorithm
2.1 Discrete Cuckoo Search Algorithm
2.2 Local Search Strategy
2.3 Proposed Hybrid Algorithm
3 Performance Evolution
4 Conclusion
Acknowledgments
References
A New Cuckoo Search
1 Introduction
2 The New CS
2.1 The Model of New CS Algorithm
2.2 Pseudo Code of the NCS Algorithm
3 Numerical Simulation
3.1 Test Functions
3.2 Experimental Results and Comparison Used Against Test Function with Big Size
4 Conclusions and Perspectives
References
Resting State fMRI Data Classification Method Based on K-means Algorithm Optimized by Rough Set
Abstract
1 Introduction
2 Knowledge of Rough Sets
3 Experimental Methods
3.1 Data Acquisition and Data Preprocessing
3.2 Attribute Importance Calculation
3.3 Best Attribute Reduction
3.4 K-means Algorithm
4 Result Analyses
4.1 Reductions in fMRI Data for Different Eye States
4.2 Reductions in fMRI Data for Alzheimer's Disease and Healthy Controls
4.3 Data Atlas
4.4 Clustering Algorithm Based on Rough Set Optimization
5 Discuss
References
The Research of Attribute Granular Computing Model in Cognitive and Decision-Making
Abstract
1 Introduction
2 Qualitative Mapping Method in Cognition
3 Attribute Granules in Cognitive and Decision-Making
4 Cognitive Decision-Making and Fuzzy Attribute Granule
5 Set Up Cognition Formal Model with Attribute Granule
6 Decision-Making in CSPT
7 Conclusion
Acknowledgments
References
Power Control in D2D Network Based on Game Theory
Abstract
1 Introduction
2 System Model
3 Non-cooperative Power Control Game Analysis
3.1 Existence
3.2 Uniqueness
3.3 Distributed Iterative Game Algorithm
4 Simulation Results
5 Conclusion
Acknowledgement
References
HCI Based on Gesture Recognition in an Augmented Reality System for Diagnosis Planning and Training
Abstract
1 Introduction
2 System Architecture
2.1 The Hardware Architecture of ARS-CADPT
2.2 The Software Framework of ARS-CADPT
3 Real-Time HCI
3.1 Gesture Definition
3.2 Static Gesture Recognition
3.3 Dynamic Gesture Spotting
3.4 Dynamic Gesture Recognition
4 Experimental Results
5 Conclusion and the Future Work
Acknowledgement
References
The Effect of Expression Geometry and Facial Identity on the Expression Aftereffect
Abstract
1 Introduction
2 Method
2.1 Subject
2.2 Stimuli and Apparatus
2.3 Procedure
3 Result
4 Discussion
Acknowledgement
References
Big Data Analysis and Machine Learning
A Dynamic Mining Algorithm for Multi-granularity User's Learning Preference Based on Ant Colony Optimization
Abstract
1 Quotient Space Structure of Knowledge Points
2 Functions Definition of Multi-granularity Ant Colony Optimization
2.1 Ant Colony Optimization
2.2 Functions Definition of ACO in Multi-granularity Data
3 Dynamic Mining Algorithm for Multi-granularity Learning Preferences
4 Experiment and Result
4.1 Dynamic Change Process Experiment of User Learning Preference
4.2 Experiment Data Analysis of Practical Application System
5 Conclusion
Acknowledgments
References
Driver Fatigue Detection Using Multitask Cascaded Convolutional Networks
Abstract
1 Introduction
2 Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks
3 Extraction Area Eye
3.1 Face Normalization
3.2 Eye Area Extraction
4 Eye State Recognition
4.1 Convolutional Neural Network
4.2 Activation Functions
5 Fatigue Detection Based on PERCLOS
6 Experiment and Results
6.1 Train
6.2 Training Results
6.3 Fatigue Detection Based on PERCLOS
7 Conclusion
Acknowledgments
References
A Fast Granular Method for Classifying Incomplete Inconsistent Data
Abstract
1 Introduction
2 Preliminaries
2.1 Incomplete Decision Systems (IDSs) and Attribute-Value Blocks
2.2 Incomplete Inconsistent Decision Systems (IIDSs)
3 A Granulation Model Based on IIDSs
4 A Granulation-Model-Based Method for Constructing Classifier
4.1 An Attribute-Value Block Based Method of Acquiring Classification Rules
4.2 Rule Set Minimum
4.3 A Classification Algorithm for Constructing Rule-Based Classifier
5 Experimental Analysis
6 Conclusion
References
Sentiment Analysis of Movie Reviews Based on CNN-BLSTM
Abstract
1 Introduction
2 Methods and Models
2.1 CNN
2.2 LSTM and BLSTM
3 CNN-BLSTM Model
3.1 Word Embedding
3.2 CNN-BLSTM Model
4 Experiments and Results
4.1 Dataset
4.2 Experiments
4.2.1 Experiment 1
4.2.2 Experiment 2
5 Conclusion and Future Work
Acknowledgment
References
Playlist Recommendation Based on Reinforcement Learning
1 Introduction
2 Preliminary
3 Reinforcement Learning Based Playlist Recommendation Model
3.1 Problem Description
3.2 Recommendation Framework Based on Reinforcement Learning
3.3 Model Challenges
4 Model Learning
4.1 State Compression Based on Collaborative Filter
4.2 Learning Algorithm
4.3 Recommendation Strategy
5 Experiment
5.1 Dataset
5.2 Comparison Methods and Metrics
5.3 Effectiveness Experiments
5.4 Influence of User's Listening Frequency
5.5 Influence of the Window Size
5.6 Influence of Different Recommendation Strategies
6 Conclusion
References
Transfer Learning for Music Genre Classification
1 Introduction
2 Transfer Learning Process
2.1 Scattering Transform
2.2 Deep Recurrent Neural Network
3 Datasets and Experiment Setup
4 Experiment Results and Analysis
5 Conclusion
References
A Functional Model of AIS Data Fusion
Abstract
1 Introduction
2 Functional Model of AIS Data Fusion
2.1 Level 0: Preprocessing
2.2 Level 1: Entity Assessment
2.3 Level 2: Relationship Assessment
2.4 Level 3: Impact Assessment
3 Our Existing Works
3.1 Level 0: Preprocessing
3.2 Level 1: Entity Assessment
3.3 Level 2: Relationship Assessment
3.4 Level 3: Impact Assessment
4 Conclusion and Future Work
References
Entropy-Based Support Matrix Machine
1 Introduction
2 Entropy-Based Matrix Learning Machine (ESMM)
2.1 Entropy-Based Fuzzy Membership
2.2 Entropy-Based Support Matrix Machine
3 Experiments
3.1 Experimental Settings
3.2 Experiments on Real-World Imbalanced Data Sets
3.3 Influence of Parameter k on the Performance of ESMM
3.4 Comparison Between ESMM and Entropy-Based MatMHKS (EMatMHKS)
4 Conclusion
References
Using Convolutional Neural Network with Asymmetrical Kernels to Predict Speed of Elevated Highway
Abstract
1 Introduction
2 Proposed Approach
2.1 Loop Detector Data Transformation
2.2 The Architecture of the Improved CNN
2.2.1 The Model's Input and Output
2.2.2 Convolution Layers
2.2.3 Asymmetrical Kernels
2.2.4 Pooling Layers
2.2.5 Fully Connected Layer
2.2.6 Model Optimization
3 Experimental Results
3.1 Handle the Data
3.2 Experimental Settings
3.3 Evaluation Metrics
3.4 Experiment Result
4 Conclusion
Acknowledgments
References
Enlightening the Relationship Between Distribution and Regression Fitting
1 Introduction
2 Methodology
2.1 Comprehensive Fitting Model
2.2 Statistical Significance Testing
2.3 Similarity Evaluation
2.4 Distance-Based Classification
3 Experiments
4 Discussions
5 Conclusions
References
Application and Implementation of Batch File Transfer in Redis Storage
Abstract
1 Introduction
2 Algorithm Summary of Batch Processing
2.1 Storage Structure
2.2 Storage Platform Implementation
2.3 Load Cost Model
3 Experiment
4 Conclusion
References
The Optimization Algorithm of Circle Stock Problem with Standard Usage Leftover
Abstract
1 Introduction
2 Mathematical Model
3 Algorithm Description
4 Experiment
5 Conclusion
Acknowledgments
References
Weighting Features Before Applying Machine Learning Methods to Pulsar Search
Abstract
1 Introduction
2 Related Work
2.1 Feature
2.2 Dataset
3 Methodology-Feature Weighting
4 Experiments
5 Discussions
6 Conclusion
Acknowledgments
References
Machine Perception
Patch Image Based LSMR Method for Moving Point Target Detection
Abstract
1 Introduction
2 LRMR Theory and Small Target Detection
2.1 Low-Rank and Sparse Matrices Recovery (LRMR) Algorithm
2.2 LSMR in Point Target Detection
3 Patch Based LSMR Algorithm
4 Experimental Results and Analysis
4.1 The Performance Comparison with Different Weight of Sparse Error Term (?) and Patch Size
4.2 Evaluation Comparison
5 Conclusion and Future Work
Acknowledgments
References
An Improved Image Transformation Network for Neural Style Transfer
Abstract
1 Introduction
2 Related Work
2.1 Feed-Forward Image Transformation
2.2 Neural Style Transfer
2.3 Batch Normalization
2.4 Residual Connection
3 Image Transformation Network
3.1 Design Idea
3.2 The Fusion Module
3.3 The Transformation Network Architecture
4 Experiments
5 Conclusion
References
An Improved Algorithm for Redundant Readers Elimination in Dense RFID Networks
Abstract
1 Introduction
2 Relevant Research
2.1 Algorithm RRE
2.2 Algorithm LEO
2.3 Algorithm CBA
3 Algorithm ICBA
3.1 Algorithm ICBA
3.2 Process
3.3 Analysis
4 Simulation Experiments and Analysis
4.1 Experiment 1
4.2 Experiment 2
4.3 Experiment 3
5 Conclusion
References
A Coding Efficiency Improvement Algorithm for Future Video Coding
1 Introduction
2 Proposed Method
2.1 Novel Motion Vector Prediction (NMVP)
2.2 Adaptive Search Range Selection (ASRS)
2.3 Universal Motion Vector Prediction Framework
3 Experiment Results
4 Conclusion
References
A Two-Step Pedestrian Detection Algorithm Based on RGB-D Data
Abstract
1 Introduction
2 Two-Step Pedestrian Detection Algorithm
2.1 Down-Sampling to Depth Point Cloud
2.2 Ground Segmentation
2.3 Preliminary Detection Based on Point Cloud
2.4 Accurate Detection Based on RGB Image
3 Results
4 Conclusion and Future Work
Acknowledgement
References
Inferring and Analysis Drivers Violation Behavior Through Trajectory
Abstract
1 Introduction
2 Related Work
3 Discover Traffic Violation
3.1 Main Definitions
3.2 Filter Trajectories
3.3 Discover Speeding or Retrograde
4 Experiental Results and Dicussion
4.1 Data Processing
4.2 Part One
4.3 Part Two
5 Conclusions and Future Works
Acknowledgment
References
Improved CNN Based on Super-Pixel Segmentation
Abstract
1 Introduction
2 Related Work
2.1 Convolutional Neural Network
2.2 Super-Pixel Segmentation
3 Improved CNN
4 Results
5 Conclusions
References
Speaker Verification Channel Compensation Based on DAE-RBM-PLDA
Abstract
1 Introduction
2 I-Vector-Based Speaker Recognition System
2.1 GMM I-Vector Technology
2.2 DNN I-Vector Technology
3 Analysis of Back - End PLDA Technology
3.1 PLDA Model
3.2 PLDA Based on DAE and RBM
4 Experiments and Results
5 Conclusions
Acknowledgment
References
Intelligent Information Processing
Channels' Matching Algorithm for Mixture Models
Abstract
1 Introduction
2 Semantic Channel, Semantic Information Measure, and the R(G) Function
2.1 From the Shannon Channel to the Semantic Channel
2.2 Semantic Information Measure and the Optimization of the Semantic Channel
2.3 Relationship Between Semantic Mutual Information and Likelihood
2.4 The Matching Function R(G) of R and G
3 The CM Algorithm for Mixture Models
3.1 Explaining the Iterative Process by the R(G) Function
3.2 Using Two Examples to Show the Iterative Processes
3.2.1 Example 1 for R lessthan R*
3.2.2 Example 2 for R greaterthan R*
3.3 The Convergence Proof of the CM Algorithm
3.4 The Decision Function with the ML Criterion
3.5 Comparing the CM Algorithm and the EM Algorithm
4 Conclusions
Acknowledgment
References
Understanding: How to Resolve Ambiguity
Abstract
1 Introduction
2 Method
2.1 Butterfly Model and its Use Cases
2.2 Triangular Pyramid (Tetrahedron) Model and its Use Cases
2.3 Query Model and its Use Case
3 Conclusion
3.1 Result
3.2 Significance
References
Exploration on Causal Law of Understanding and Fusion Linking of Natural Language
Abstract
1 Introduction
2 Understanding of Logic and Physical Model of Interconnection
2.1 Understanding of Logic is the Prerequisite of Interconnection
2.2 The Physical Model of Interconnection and its Meaning
3 Prospection of Understanding Theory
4 Conclusion
References
Depression Tendency Recognition Model Based on College Student's Microblog Text
Abstract
1 Introduction
2 Related Work
2.1 Depression
3 Depression Emotional Tendency Recognition Model
3.1 Preprocessing Module
3.2 The Construction of Emotion Classifier
3.3 Mathematical Model of Depression and Emotional Decay
3.3.1 Basic Assumptions
3.3.2 Depression Emotional Decay Formula
3.3.3 Case Analysis
4 Experimental Results and Analysis
4.1 Data Acquisition and Annotation
4.2 Result Analysis
5 Conclusion
References
Intelligent Applications
Traffic Parameters Prediction Using a Three-Channel Convolutional Neural Network
Abstract
1 Introduction
2 Methodologies
2.1 Data Conversion
2.2 CNN Architecture
2.2.1 Input Layer and Output Layer
2.2.2 Convolutional Layer and Pooling Layer
2.2.3 Fully-Connection Layer
3 Experiments and Results
3.1 Data Description
3.2 Model Display
3.3 Results and Comparison
4 Conclusion
Acknowledgments
References
Research of the Evaluation Index System of Green Port Based on Analysis Approach of Attribute Coordinate
Abstract
1 Introduction and Literature Review
2 Analysis Approach of Attribute Coordinate
3 Attribute Characteristics of Green Port
4 Evaluation Index System of Green Port
5 Indicator Quantification Method
6 Conclusion
References
Two Stages Empty Containers Repositioning of Asia-Europe Shipping Routes Under Revenue Maximization
Abstract
1 Introduction
2 Literature Review
2.1 Phase t_{0} : Planned Stage
2.2 Phase t_{1} : On Board Stage
2.3 Phase t_{2} : Dynamic Repositioning Stage
2.4 Phase t_{3} : Return Trip Stage
3 Problem Formulation
3.1 Problem Description
3.2 Parameters
3.3 Decision Variables
3.4 Objective Function
4 Experimental Results and Analysis
4.1 Dataset
4.2 Compared Model
4.3 Objective Function
4.4 The Cost, Total Profit and Net Profit Under Different Circumstances
5 Conclusion and Future Work
References
Speed Optimization of UAV Vehicle Tracking Algorithm
Abstract
1 Introduction
2 Related Works
3 System Achievement
3.1 CUDA Programming Model
3.2 Haar-Like Feature Extraction
3.3 Structured Output SVM Optimization
4 Experimental Results
4.1 Evaluation of VTB Test Set
4.2 Evaluation of UAV Test Set
5 Conclusions
Acknowledgments
References
Application of Ant Colony Optimization in Cloud Computing Load Balancing
Abstract
1 Introduction
2 Mathematic Model of Task Scheduled
3 Ant Colony Optimization
3.1 Theory of Ant Colony Optimization
3.2 Realization of Ant Colony Optimization
3.3 Algorithm Parameter Design
4 Simulation and Results
4.1 Introduction of Cloudsim
4.2 Result of Simulation
5 Conclusion
References
Beam Bridge Health Monitoring Algorithm Based on Gray Correlation Analysis
Abstract
1 Introduction
2 Health Monitoring Algorithm
3 Experiment and Result
4 Conclusion
References
Designing an Optimal Water Quality Monitoring Network
Abstract
1 Introduction
2 Methodology
2.1 Hypothetical River Network
2.2 Hydraulic Simulations
2.3 Optimization Objectives
2.4 MOPSO Algorithm
3 Simulations and Analysis
4 Conclusions and Future Work
Acknowledgements
References
Ship Identification Based on Ship Blade Noise
Abstract
1 Introduction
2 Noise Collection of Ship Blade Signal
3 Blade Noise Spectrum
4 Dimension Reduction and Classification Processing
4.1 Probability of the Largest Pool Layer
4.2 Softmax Classification Function
5 Experimental Setup and Analysis of Results
5.1 Spectral Classification and Recognition Model
5.2 Classification and Recognition on Samples
5.3 Recognition Rate About CDBN Network Structure
6 Conclusions
Acknowledgments
References
A Composite Weight Based Access Network Selection Algorithm in Marine Internet
Abstract
1 Introduction
2 Access Network Selection Algorithm Based on Compound Weights
2.1 Framework of the Proposed Algorithm
2.2 Network Selection Model Based on Analytic Hierarchy Process
2.3 Objective Weight Based on Information Entropy
2.4 Utility Function
3 Simulation and Analysis
4 Conclusion
References
Online Shopping Recommendation with Bayesian Probabilistic Matrix Factorization
Abstract
1 Introduction
2 Related Work and Employed Methodology
2.1 Review on Probabilistic Matrix Factorization
2.2 A Brief Introduction to the Bayesian Probabilistic Matrix Factorization
3 Experiments and Analysis
3.1 Evaluation Metrics and Selected Dataset
3.2 Results and Analysis
4 Conclusions
References
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Intelligence Science I

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