Artificial Intelligence Applications and Innovations

Name: Artificial Intelligence Applications and Innovations | 11th IFIP WG 12.5 International Conference, AIAI 2015, Bayonne, France, September 14-17, 2015, Proceedings
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11th IFIP WG 12.5 International Conference, AIAI 2015, Bayonne, France, September 14-17, 2015, Proceedings

Richard Chbeir Yannis Manolopoulos Ilias Maglogiannis Reda Alhajj(Editor)

Springer (Publisher)

Published on 29. August 2015

XVI, 496 pages

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978-3-319-23868-5 (ISBN)

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Content

Intro
Preface
Organization
Contents
Image Processing and Analysis
Content Based Image Retrieval and Its Applicationto Product Recognition
1 Introduction
2 System Architecture
3 Proposed Method for PIR
4 Experimental Results
5 Conclusion
References
Uncertainty Estimation for Improving Accuracyof Non-rigid Registration in Cardiac Images
1 Introduction
2 Hybrid Non-rigid Registration
3 Uncertainty Definition and Evaluation
4 Registration Uncertainty
5 Conclusion
References
Multi-pose Volume Reconstruction Across ArbitraryTrajectory from Multiple Fisheye Cameras
1 Introduction
2 Related Work
3 Methodology
4 Results
5 Conclusion
References
Automated Detection of Streaks in Dermoscopy Images
1 Introduction
2 Methodology
3 Experimental Results
4 Discussion and Conclusion
References
A Novel Image Analysis Methodology for the Evaluationof Angiogenesis in Matrigel Assays and Screeningof Angiogenesis-Modulating Compounds
1 Introduction
2 Materials and Methods
3 Results and Discussion
References
Sensor Networks
A Distributed Energy-Efficient Algorithm for Cellular Target Tracking in Wireless Sensor Networks
1 Introduction
2 Related Work
3 System Model
4 The Distributed Cellular Algorithm
4.1 Boundary Sensors
4.2 Sensors' Cell
4.3 Tracking
5 Experimental Setup and Analysis
5.1 Experimental Setup
5.2 Experimental Results
6 Conclusion and Future Work
PSO-Least Squares SVM for Clusteringin Cognitive Radio Sensor Networks
1 Introduction
2 Model of the Network Energy Consumption
3 Hybrid AI System Based on the PSO and LS-SVM Methods for Clustering in CRSN System
3.1 Particle Swarm Optimization
3.2 LS-SVM Classifiers
3.3 Mixtures of Kernels
3.4 LS-SVM Transformed into a Clustering Problem in CSRN
3.5 A Multi-class Formulation of the LS-SVM Transformed into a Sensor Clustering Problem
4 Experimental Results
5 Conclusion
Artificial neural networks and principal components analysis for detection of idiopathic pulmonary fibrosis in microscopy images
1 Introduction
2 Background Methods
2.1 Incremental Principal Components Analysis
2.2 Cumulative Sum
3 Proposed Method and Experimental Results
4 Conclusion
Data Representation and Analysis
Editing Training Sets from Imbalanced Data Using Fuzzy-Rough Sets
1 Introduction
2 Theoretical Background
2.1 Information Systems and Equivalence Relation
2.2 Fuzzy Rough Set
3 Rough Selection and Problem Stated
4 Multiple Thresholds Fuzzy Rough Instance Selection
4.1 MFRIS Algorithms
4.2 Experiment
5 Conclusion and Future Work
Ordering Spatio-Temporal Sequences to Meet Transition Constraints: Complexityand Framework
1 Introduction
2 Qualitative Constraint Networks and Conceptual Neighbourhood Graphs
3 Qualitative Spatio-Temporal Sequences and Transition Graphs
4 Constraining Qualitative Spatio-Temporal Sequences with Point Algebra
5 Conclusion and Future Work
Fuzzy Historical Graph Pattern Matching A NoSQL Graph Database Approach for Fraud Ring Resolution
1 Introduction
2 Related Work
2.1 Graphs and NoSQL Graph Databases
2.2 Mnemosyne: An Innovative Historical Data Management System
2.3 Pattern Matching and Querying
3 Problem Statement
3.1 Preliminary Statements
3.2 Use Case
3.3 Problem
4 Resolution and Experiments
4.1 Pattern Matching Resolution
4.2 Historical Pattern Matching Resolution
4.3 Fuzzy Historical Pattern Matching Resolution
5 Conclusion and Further Work
Ultrasonic Data Compression and AnalysisDuring Material Inspection
1 Introduction
2 TOFD Inspection
3 Sparse Matrix Construction
4 Results and Conclusions
References
Exploiting RDF Open Data Using NoSQL Graph Databases
1 Introduction
2 Related Work
2.1 RDF
2.2 NoSQL Graph Databases
2.3 Graph Transformations
3 From RDF Data to NoSQL Graph Databases
3.1 Approach 1: Direct Correspondences
3.2 Approach 2: Correspondences by Mapping
3.3 Discussion
4 Implementation Issues
4.1 Evaluation Measures
5 Conclusion
Global-Support Rational Curve Method for Data Approximation with Bat Algorithm
1 Introduction
1.1 Motivation
1.2 Aims and Structure of the Paper
2 Previous Work
3 The Bat Algorithm
3.1 Basic Principles
3.2 The Algorithm
4 The Proposed Method
4.1 Problem to be Solved
4.2 Proposed Method and Parameter Tuning
5 Experimental Results
6 Conclusions and Future Work
Instagram hashtags as image annotation metadata
1 Introduction
2 Related Work
3 Methodology
3.1 Aim of the Research
3.2 Data Collection
3.3 Mathematical Formulation
4 Experimental Results and Discussion
5 Conclusion
Smart Environments, Agents,and Robots
Scheduling Optimization of Smart Homes Based on Demand Response
1 Introduction
2 Problem Formulation
2.1 Objective Function
2.2 Power-Shiftable Devices
2.3 Time-Shiftable Devices
3 Scheduling Optimization Algorithm
3.1 Standard Particle Swarm Optimization
3.2 Cooperative Particle Swarm Operation
4 Experimentation
5 Conclusion
Knowledge-Based Telerehabilitation Monitoring
1 Introduction
2 Related Works
3 KiReS Workflow
4 Therapy Planning
5 Therapy Execution and Controlling
6 Conclusions
POMDP Based Action Planning and Human Error Detection
1 Introduction
2 Assistive System Architecture
3 Overview of POMDPs
4 POMDP-Based APM and ERM
4.1 POMDP's Adaptation
4.2 Belief State Representation
4.3 Belief State Update
Offline Training and POMDPs Solving
Policy Optimisation.
Training via User Simulation.
5 Evaluation
6 Nearest Neighbor Search
7 Results and Discussion
8 Conclusion
Improving the Contextual Selection of BDI Plans by Incorporating Situated Experiments
1 Introduction
2 Contextual Planning Architecture
3 From Concurrent Planning to Contextual Guidance
3.1 Agent Plan Structure
3.2 Contextual Planning System (CPS)
3.3 Illustrative Example
3.4 Guidance for Intention Satisfaction
4 Learning Actions from Past-Experiences
4.1 Data Acquisition
4.2 Data Relevance Strategies
4.3 Computing the Expected Performance and Expected Duration for an Action
5 Spatio-Temporal Guidance from Past-Experiences
5.1 Contextual Planning System with Learning (CPS-L)
5.2 Optimal Trace of the CPS-L
6 Discussion and Related Works
7 Conclusion
Design and Material Analysis of Spherical Mobile Robotfor Bouncing Mechanism
1 Introduction
2 Spherical Mobile Robot
3 Simulation Setup
4 Results and Discussion
5 Conclusion
References
Machine Learning
Layout Synthesis for Symmetrical Facades
1 Introduction
2 Building Retrofit
3 Constraint Model
3.1 Constraint Variables
3.2 Constraints
3.3 Objective Function
4 The Solving Process
4.1 Providing Structure to the Plan
4.2 Construction Procedure
5 Experimental Cases
6 Conclusions
Thompson Sampling Guided Stochastic Searching on the Line for Adversarial Learning
1 Introduction
2 Related Work
2.1 Contribution of the Paper
2.2 Paper Outline
3 Thompson Sampling Guided Stochastic Search on the Line (TS-SPL)
4 Experimental Results
4.1 Deceptive or Informative Teacher
4.2 Informative Teacher
4.3 Tracking the Truthfulness of the Teacher
4.4 Stability of Solution
5 Conclusions and Further Work
Is Extreme Learning Machine Effectivefor Multisource Friction Modeling?
1 Introduction
2 Multisource Friction Model
3 Fuzzy Friction Modeling
4 Standard EML Model
5 Improving ELM
6 ELM Models in Adaptive Control
7 Conclusions
Classification, Clustering,and Reasoning
SAPKOS: Experimental Czech Multi-label Document Classification and Analysis System
1 Introduction
2 Related Work
3 Technical Background
3.1 Feature Set and Classification
3.2 Confidence Measures
Posterior Class Probability Approaches.
Composed Supervised Approach.
4 System Architecture
5 System Evaluation
5.1 Evaluation on the Free Czech C Document Corpus
5.2 Evaluation on the Private Czech C Document Corpus
6 Conclusions and Future Work
Multi-Objective Differential Evolution of EvolvingSpiking Neural Networks for Classification Problems
1 Introduction
2 Methods
3 The Proposed Hybridization of Multi-Objective DE BasedESNN (MODE-ESNN)
4 Experimental Design
5 Results and Discussion
6 Conclusion and Future Works
References
Steady-State Inference in Performance Testsof Refrigeration Compressors Using ANN Ensemble
1 Introduction
2 Performance Test of Refrigeration Compressors
3 Neural Network Ensemble
4 Conclusions
References
New Methods and Tools for Big Data
MoVA: A Visual Analytics Tool Providing Insight in the Big Mobile Network Data
1 Introduction
2 Related Work
3 Description of the Proposed Methods
3.1 Visualization of the Signaling Activity in the Network
3.2 Visualization of Common User Behaviors
3.3 Hypothesis Formulation and Validation
4 Experimental Results
4.1 GEDIS Dataset
4.2 Results
5 Conclusions
Workflow Coordinated Resources Allocationfor Big Data Analytics in the Cloud
1 Introduction
2 State of the Art Technologies
3 System Architecture
4 Workflows for Resources Allocation and Data Analysis
5 Conclusion and Future Work
References
Simulation and Visual Analysis of Neuromusculoskeletal Models and Data
1 Introduction
2 Analysis and Simulation
2.1 General Architecture
2.2 Neuromusculoskeletal Dynamics
2.3 Forward Simulation Pipeline
2.4 Inverse Simulation Pipeline
3 Visual Analytics
4 Preliminary Results
5 Conclusion
Big Data and Visual Analytics for Building Performance Comparison
1 Introduction
2 Data and Visual Analytics
2.1 Knowledge Mining
2.2 Visual Analytics
3 Experimental Results
4 Conclusions
Enhancing Distance Learning Platformswith Social Media Analytics
1 Introduction
2 The Proposed Extension
3 Development Challenges
4 The Case of Russian Verbs of Motion
5 Conclusions
References
HCuRMD: Hierarchical ClusteringUsing Relative Minimal Distances
1 Introduction
2 Hierarchical Clustering
3 Hierarchical Clustering Using Relative Minimal Distances
4 Discussion
5 Conclusion and Evaluation
References
Energy Management and Smart Grid
A Generic Ontology-Based Information Modelfor Better Management of Microgrids
1 Introduction
2 State of the Art
3 Proposal
4 Illustration
5 Conclusion
References
Privacy Preserving Metering Protocol in Smart Grids
1 Introduction
2 Security Requirements of Smart Grids
3 System Models and Assumptions
4 The Proposed Protocol
5 Privacy Analysis and Simulation Results
6 Related Work
7 Conclusion
References
A Practical Approach for Energy Efficient Scheduling in Multicore Environmentsby Combining Evolutionary and YDS Algorithms with Faster Energy Estimation
1 Introduction
2 Our Proposed Approach
3 Experimental Evaluation
4 Conclusions and Future Work
Author Index

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Artificial Intelligence Applications and Innovations

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