Advances in Computational Intelligence Systems

Name: Advances in Computational Intelligence Systems | Contributions Presented at the 17th UK Workshop on Computational Intelligence, September 6-8, 2017, Cardiff, UK
Brand: Springer
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Contributions Presented at the 17th UK Workshop on Computational Intelligence, September 6-8, 2017, Cardiff, UK

Fei Chao Steven Schockaert Qingfu Zhang(Editor)

Springer (Publisher)

Published on 4. September 2017

XII, 368 pages

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978-3-319-66939-7 (ISBN)

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Content

Intro
Preface
Organisation
Programme Committee
Additional Reviewers
Contents
Modelling and Representation
Integrating Association Rules Mined from Health-Care Data with Ontological Information for Automated Knowledge Generation
1 Introduction
2 Methods
2.1 Programming Environment
2.2 Databases, Ontologies and Pre-processing
2.3 Association Rule Mining
2.4 Related Work
3 Results
3.1 Ontology Integration
4 Discussion
5 Conclusions
References
Sentiment Analysis Model Based on Structure Attention Mechanism
Abstract
1 Introduction
2 Related Work
2.1 Sentiment Classification with Traditional Machine Learning Methods
2.2 Sentiment Classification with RNN and Attention Mechanism
3 Structure-Attention-Based LSTM
4 Experiment
4.1 Dataset
4.2 Vector Dimension Selection
4.3 Results
4.4 Discussion
5 Conclusion and Outlook
Acknowledgement
References
Fuzzy Representation for Flexible Requirement Satisfaction
Abstract
1 Introduction
2 Background
2.1 Fuzzy Sets
2.2 RELAX Requirement Language
3 Fuzzy for Requirement Satisfaction Representation
4 Conclusion
References
A Multidisciplinary Method for Constructing and Validating Word Similarity Datasets
Abstract
1 Introduction
2 Word Pairs Selection Based on Computational Linguistic Resources
2.1 Word Length and Frequency
2.2 Entity Words vs Non-entity Words
2.3 Data Balance and Word Pairs Classification
2.4 Word Pairs Selection Result
3 Scoring by Psychological Scaling
4 Validation Based on ERPs Experiments
4.1 A Brief Introduce to ERPs
4.2 Participants
4.3 Electroencephalography Recording
4.4 Experimental Procedure
4.5 Data Analysis
4.6 Result 1: Response Time Comparison
4.7 Result 2: Comparison Among Different Similarity Groups
4.8 Result 3: Comparison Between the Similarity Group and the Relatedness Group
5 Conclusion
Acknowledgments
References
Fuzzy Connected-Triple for Predicting Inter-variable Correlation
1 Introduction
2 Predicting System
2.1 Conceptual Framework
2.2 Connected-Triple Extraction
2.3 Link Strength Measurement
2.4 Fuzzy Inference Model
3 Experimental Evaluation
3.1 Datasets
3.2 Implementation of Fuzzy Inference Model
3.3 Illustrative Example of Link Prediction
3.4 Experimental Setup
3.5 Results and Discussion
4 Conclusion
References
Data Integration with Self-organising Neural Network Reveals Chemical Structure and Therapeutic Effects of Drug ATC Codes
1 Introduction
1.1 Related Work
2 Methods
3 Results
4 Discussion
5 Conclusions
References
A Modified Approach to Inferring Animal Social Networks from Spatiotemporal Data Streams
1 Introduction
2 Network Generation
2.1 Arrival Time Record Selection
2.2 Gathering Events Clustering
2.3 Link Generation
3 Coincident Link Filtering
3.1 Null Model
3.2 Problems with Null Model
3.3 Fuzzy C-Means Filter
4 Experimental Evaluation
4.1 Seed Data Set and Experimental Setup
4.2 Results on Seeds Data Set
4.3 Results on Spatiotemporal Dataset (of No Ground Truth)
5 Conclusion
References
Optimisation
A Heuristic Approach for the Dynamic Frequency Assignment Problem
Abstract
1 Introduction
2 Overview of the Dynamic FAP
3 Generating the Dynamic FAP Datasets
4 Heuristic Approach for the Dynamic FAP
4.1 Initial Assignment Phase
4.2 Online Assignment Phase
4.3 Repair Phase
5 Experiments and Results
5.1 Online Assignment Phase
5.2 Repair Phase
5.3 Results Comparison with Other Approaches
6 Conclusions
References
Applying ACO to Large Scale TSP Instances
1 Introduction
2 ACO Applied to the TSP
3 Addressing the Scalability of ACO
3.1 Introducing PartialACO
4 Experiments with PartialACO
4.1 Incorporating Local Search
5 Applying PartialACO to Larger TSP Instances
6 Related Work
7 Conclusions
References
A New Steady-State MOEA/D for Sparse Optimization
1 Introduction
2 MOEA/D for Sparse Optimization
2.1 Problem Decomposition
2.2 Framework of MOEA/D
3 MOEA/D-II
3.1 Main Idea
3.2 Framework of MOEA/D-II
3.3 The Connections with MOEA/D
4 Computational Experiments
4.1 Experimental Setting
4.2 Experimental Results
5 Conclusion
References
A Multiobjective Evolutionary Algorithm Approach for Map Sketch Generation
1 Introduction
2 Related Work
2.1 Procedural Content Generation
2.2 Map Sketches for Real Time Strategy Games
3 Proposed Approach
3.1 Objective Functions
3.2 Crossover
3.3 Mutation
4 Experiments
4.1 Experimental Design
4.2 Results
5 Conclusion
References
A Reference-Inspired Evolutionary Algorithm with Subregion Decomposition for Many-Objective Optimization
1 Introduction
2 Fitness Assignment
3 The Algorithm
3.1 Initialisation and Decomposition to Subregions
3.2 Reproduction Procedure
3.3 Environmental Selection
4 Experimental Study
4.1 Experimental Results
5 Conclusion
References
Learning
Generation of Reducts and Threshold Functions Using Discernibility and Indiscernibility Matrices for Classification
Abstract
1 Introduction
2 Boolean Reasoning of Reducts
3 Generation of Reducts Based on Nearest Neighbor Relation and External Set
4 Generation of Reducts Based on Nearest Neighbor Relation and Indiscernibility Matrix
4.1 Relation Between Set [B] and Indiscernibility Matrix
5 Generation of Threshold Functions Using Discernibility and Indiscernibility Matrices
6 Conclusion
References
Adaptive Noise Cancelation Using Fuzzy Brain Emotional Learning Network
1 Introduction
2 Structure of FBELN
3 Learning Algorithm of the Adaptive FBELN Filter
3.1 Learning Algorithm
3.2 Convergence Analysis
4 Simulation
5 Conclusion
References
Artificial Neural Network Analysis of Volatile Organic Compounds for the Detection of Lung Cancer
Abstract
1 Introduction
2 Methods
3 Classification Results
4 Discussion
5 Conclusion
Acknowledgments
References
Predicting the Occurrence of World News Events Using Recurrent Neural Networks and Auto-Regressive Moving Average Models
1 Introduction
2 Related Work
3 Auto-Regressive Moving Average
4 Long Short-Term Memory
5 Methodology
5.1 Data Representation
5.2 Model Architectures
5.3 Training Procedures
6 Results
7 Discussion
8 Conclusion
References
A Comparison Study on Flush+Reload and Prime+Probe Attacks on AES Using Machine Learning Approaches
1 Introduction
2 Background and Related Works
2.1 Performance Monitor Unit (PMU)
2.2 Side Channel Attacks
2.3 Flush+Reload (FR)
2.4 Prime+Probe (PP)
2.5 Detection and Mitigation
3 Methodologies
3.1 Principle Component Analysis (PCA)
3.2 Neural Network (NN)
3.3 K Nearest Neighbour KNN
3.4 C4.5
4 FR and PP Attack Detection
4.1 Hardware and Software Specifications
4.2 Experiment
4.3 Result Analysis and Discussion
5 Conclusions
References
Classifying and Recommending Using Gradient Boosted Machines and Vector Space Models
1 Problem Domain: Overview
1.1 RecSys Challenge
1.2 Wider Applicability
2 Implementation
2.1 Framework
2.2 Features
2.3 Models and Training
2.4 Inference - Initial Results
2.5 Optimising Click and Buy Item Similarity Features
3 Conclusion and Future Work
References
SemCluster: Unsupervised Automatic Keyphrase Extraction Using Affinity Propagation
1 Introduction
2 Related Work
3 SemCluster Overview
3.1 Candidate Term Extraction and Disambiguation
3.2 Candidate Terms Similarity Computation and Clustering
3.3 Candidate Phrase Extraction and Keyphrase Selection
4 Evaluation and Results
5 Conclusion and Future Work
References
Control and Human-Machine Systems
Towards Low-Cost P300-Based BCI Using Emotiv Epoc Headset
Abstract
1 Introduction
2 Methodology
2.1 Participants
2.2 EEG Equipment
2.3 Stimuli and Procedure
2.4 Data Analysis and Classification
3 Results and Discussions
4 Conclusion
Acknowledgment
References
Emotion Detection in E-learning Using Expectation-Maximization Deep Spatial-Temporal Inference Network
1 Introduction
2 Preliminaries and Related Research
2.1 Deep Spatial-Temporal Inference Network
3 EM-DeSTIN
4 Experiments
5 Conclusion
References
Human Activities Transfer Learning for Assistive Robotics
1 Introduction
2 Related Work
3 Activity Features
3.1 Data Pre-processing
3.2 3D Skeleton-Based Features
3.3 Features Normalization
4 Activity Classification
4.1 Support Vector Machine (SVM)
4.2 K-Nearest Neighbour (K-NN)
4.3 Fuzzy C-Means Algorithm
5 Experimental Results
6 Conclusions
References
3D Simulation of Navigation Problem of People with Cerebral Visual Impairment
Abstract
1 Introduction
2 Related Work
3 Aim and Overall Architecture
4 Methodology
4.1 Image Pre-processing
4.2 The Projection of the Vision Map
4.3 Simulation of Navigation
5 Implementation and Results
6 Summary and Conclusions
Acknowledgment
References
A Fall Detection/Recognition System and an Empirical Study of Gradient-Based Feature Extraction Approaches
1 Introduction
2 Related Work
3 Fall Detection and Action Recognition
3.1 Feature Extraction
3.2 Pre-processing
3.3 Classifier
4 Data Set
5 Experimentation
5.1 Experiment 1
5.2 Experiment 2
5.3 Experiment 3
5.4 Discussions
6 Conclusions
References
Towards an Ontology of Trust for Situational Understanding
1 Introduction
2 Motivational Scenario and Desiderata
3 An Ontology of Trust for Situational Understanding
3.1 What is an Ontology?
3.2 Our Proposal: SitUTrustOnto
3.3 SitUTrustOnto and Our Case Study
4 Conclusion
References
Intelligent Transportation
Traffic Condition Analysis Based on Users Emotion Tendency of Microblog
Abstract
1 Introduction
2 Related Work
2.1 Traffic Condition Analysis Based on Social Network
2.2 Sentiment Analysis on Social Network
3 Traffic Condition Analysis Based on Users' Emotion
3.1 Sample Generation
3.2 Traffic Condition Analysis
4 Experiments
4.1 Dataset
4.2 The Effect of Users' Emotion Model
4.3 Traffic Condition Analysis on Chinese Cities
5 Conclusions and Future Work
Acknowledgement
References
Fuzzy Bi-objective Chance-Constrained Programming Model for Timetable Optimization of a Bus Route
1 Introduction
2 Model Formulation
2.1 Passenger Volume Objective
2.2 Travel Time Objective
2.3 Capacity Rate Constraint
2.4 Model
3 Genetic Algorithm of Variable Length
4 Case Study
4.1 Data Collection
4.2 Data Processing
4.3 Results
5 Conclusion
References
Solving Dial-A-Ride Problems Using Multiple Ant Colony System with Fleet Size Minimisation
1 Introduction
2 Terminology
3 Problem Formulation
4 Multiple Ant Colony System
4.1 Fleet Size Minimisation
5 Simulation Results
6 Conclusion
References
Bus Scheduling Timetable Optimization Based on Hybrid Bus Sizes
1 Introduction
2 Problem Description and Model
2.1 Assumptions
2.2 Notations
2.3 Objectives
2.4 Load Factor Constraint
3 Model Transform and Solution
3.1 Genetic Algorithm with Self-crossover Operation
4 Case Study
5 Conclusion
References
Supplier's Information Strategy in the Presence of a Dominant Retailer
1 Introduction
2 Problem Description
3 Information Leakage
4 Information Concealment
5 The Supplier's Equilibrium Strategy
6 Conclusions
References
Optimization Allocation Between Multiple Logistic Tasks and Logistic Resources Considered Demand Uncertainty
Abstract
1 Introduction
2 Problem Description
3 Model Building
3.1 Mathematical Description
3.2 Mathematical Model
4 Model Algorithm
5 Case Simulation
5.1 Case Description
5.2 Case Solving
6 Conclusion
Acknowledgements
References
Two-Stage Heuristic Algorithm for a New Model of Hazardous Material Multi-depot Vehicle Routing Problem
1 Introduction
2 Transportation Model
3 Numerical Experiments
4 Conclusion
References
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Advances in Computational Intelligence Systems

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