Modern Approaches in Applied Intelligence
24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, Syracuse, NY, USA, June 28 - July 1, 2011, Proceedings, Part I
Published on 27. June 2011
XX, 361 pages
978-3-642-21822-4 (ISBN)
Description
The two volume set LNAI 6703 and LNAI 6704 constitutes the thoroughly refereed conference proceedings of the 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, held in Syracuse, NY, USA, in June/July 2011.
The total of 92 papers selected for the proceedings were carefully reviewed and selected from 206 submissions. The papers cover a wide number of topics including feature extraction, discretization, clustering, classification, diagnosis, data refinement, neural networks, genetic algorithms, learning classifier systems, Bayesian and probabilistic methods, image processing, robotics, navigation, optimization, scheduling, routing, game theory and agents, cognition, emotion, and beliefs.
The total of 92 papers selected for the proceedings were carefully reviewed and selected from 206 submissions. The papers cover a wide number of topics including feature extraction, discretization, clustering, classification, diagnosis, data refinement, neural networks, genetic algorithms, learning classifier systems, Bayesian and probabilistic methods, image processing, robotics, navigation, optimization, scheduling, routing, game theory and agents, cognition, emotion, and beliefs.
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Kishan G. Mehrotra | Chilukuri Krishna Mohan | Jae C. Oh
Modern Approaches in Applied Intelligence
24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, Syracuse, NY, USA, June 28 - July 1, 2011, Proceedings, Part I
Book
06/2011
1st Edition
Springer
€53.49
Shipment within 7-9 days
Content
- Title Page
- Preface
- Organization
- Table of Contents
- Section 1: Incremental Clustering and Novelty Detection Techniques and Their Application to Intelligent Analysis of Time Varying Information
- Classification Model for Data Streams Based on Similarity
- Introduction
- Description of the Proposal
- Formalization of the Proposal
- Experimentation
- Parameters
- Results
- Conclusions
- References
- Comparison of Artificial Neural Networks and Dynamic Principal Component Analysis for Fault Diagnosis
- Introduction
- DPCA Formulation
- ANN Formulation
- Experimental System
- Results
- Discussion
- Conclusions
- References
- Comparative Behaviour of Recent Incremental and Non-incremental Clustering Methods on Text: An Extended Study
- Introduction
- Clustering Quality Evaluation
- Dataset Analysis
- Estimation of Complexity and Heterogeneity of Datasets
- Results
- Conclusion
- References
- Section 2: Bayesian and Probabilistic Networks
- Fault Diagnosis in Power Networks with Hybrid Bayesian Networks and Wavelets
- Introduction
- Wavelets
- Bayesian Networks
- Framework
- Case Study
- Conclusions
- References
- Learning Temporal Bayesian Networks for Power Plant Diagnosis
- Introduction
- Related Work
- Temporal Nodes Bayesian Networks
- Learning Algorithm
- Interval Learning
- First Approximation: Independent Variables
- Second Approximation: Considering the Network Topology
- Pruning
- Structural Learning
- Application to Power Plant Diagnosis
- Application Domain
- Experiments and Results
- Conclusions and Future Research
- References
- On the Fusion of Probabilistic Networks
- Introduction
- Probabilistic Networks
- Probabilistic Merging
- Aims of the Work
- Fusion of Same-Structure Networks
- Fusion of U-Acyclic Networks
- Adding Variables and Arcs
- Computing the Fused Network
- Handling Sub-normalized Probabilistic Networks
- Conclusions
- References
- Section 3: Methodologies
- Basic Object Oriented Genetic Programming
- Introduction
- Related Work
- An Initial Implementation of OOGP
- Exploiting Reflection in OOGP
- Basic OOGP
- Conceptual Overview
- Algorithm Description
- Experiments
- Results
- Conclusions
- References
- Inferring Border Crossing Intentions with Hidden Markov Models
- Introduction
- Intention Representation and Estimation
- HMM Parameter Learning
- Intention Estimation
- Probabilistic Fusion Approach
- Simulation Results
- Path Prediction
- Conclusion
- References
- A Framework for Autonomous Search in the Ecl$^i^ps%^e$ Solver
- Introduction
- Constraint Programming
- Architecture
- Framework Implementation
- The UPDATE Plug-In
- Conclusion and Future Work
- References
- Multimodal Representations, Indexing, Unexpectedness and Proteins
- Introduction
- Three Modalities of Proteins
- Algorithms and Experiments
- Unexpected Behaviour of the Human Haemoglobin
- Results in Terms of Amino Acid Sequence
- Results in Terms of Topologies
- Results in Terms of Envelopes
- Conclusions
- References
- A Generic Approach for Mining Indirect Association Rules in Data Streams
- Introduction
- Related Work
- A Generic Framework for Indirect Associations Mining
- Proposed Generic Window Model
- Generic Framework for Indirect Association Mining
- The Proposed Generic Algorithm GIAMS
- Theoretical Analyses
- Experimental Results
- Conclusions
- References
- Status Quo Bias in Configuration Systems
- Introduction
- Status Quo Bias in Decision Making
- The RecoMobile Prototype
- Study Design
- Results
- Related Work
- Conclusions
- References
- Improvement and Estimation of Prediction Accuracy of Soft Sensor Models Based on Time Difference
- Introduction
- Method
- Time Difference Modeling Method
- Distance to Model
- Proposed Ensemble Prediction Method with Time Difference Model
- Results and Discussion
- Prediction Accuracy
- Estimation of Prediction Accuracy
- Conclusion
- References
- Network Defense Strategies for Maximization of Network Survivability
- Introduction
- Problem Formulation and Notations
- Solution Approach
- Solution Approach for Solving the Inner Problem of (IP 1)
- Solution Approach for Solving (IP 1)
- Computational Experiments
- Experiment Environment
- Computational Experiment of (IP 1)
- Experiment Results of the Inner Problem of (IP 1)
- Experiment Result of (IP 1)
- Conclusion
- References
- PryGuard: A Secure Distributed Authentication Protocol for Pervasive Computing Environment
- Introduction
- Related Works
- The Noise Recognition Attack
- Characteristics
- Overview of PryGuard
- Details of Our Solution
- Conclusions and Future Work
- References
- Section 4: Feature Extraction, Discretization, Clustering, Quantization, and Data Refinement
- A Global Unsupervised Data Discretization Algorithm Based on Collective Correlation Coefficient
- Introduction
- Related Works
- Methodology
- Formal Terminology Definition
- The Descriptions of GUDA-CCC Algorithm
- Key Components in GUDA-CCC
- Artificial Fish-Swarm Algorithm (AFSA) [10]
- Lloyd-Max Scalar Quantization
- Experimental Results
- Conclusion
- References
- A Heuristic Data-Sanitization Approach Based on TF-IDF
- Introduction
- Review of Related Works
- Data Mining Process
- Data Sanitization
- The Proposed Heuristic Approach
- An Example
- Experimental Results
- Conclusion
- References
- Discovering Patterns for Prognostics: A Case Study in Prognostics of Train Wheels
- Introduction
- Methodology
- Symbolizing Time-Series Data
- Searching Patterns from Symbolic Sequences
- Evaluating Patterns
- The Application Domain: Train Wheel Prognostics
- Experiments and Results
- Parameter Settings
- Experiments and Results
- Discussions and Limitations
- Conclusions
- Reference
- Section 5: Applications of Artificial Intelligence
- Automating the Selection of Stories for $AI in the News$
- Introduction
- Crawling
- Training
- Ranking
- Publishing
- Validation
- SVM Alone
- Adjusted Scores
- Final Test
- Conclusions
- References
- Diagnosability Study of Technological Systems
- Introduction
- System and Faults Modeling
- Normal Model of the System
- Faults Modeling
- Observable Behaviors
- System Behaviors
- Observable Behaviors of the System
- Diagnosability Study of the System
- Faults Characterization
- Diagnosability Study
- Practical Applications
- A Simulation Model Example
- Observable Behaviors Obtained by Simulations
- Results on the Air Line Model
- Conclusions and Perspectives
- References
- Using Ensembles of Regression Trees to Monitor Lubricating Oil Quality
- Introduction
- Experimental Set Up and Data Acquisition
- On-Line Sensor Description
- Data Acquisition
- Ensembles of Regression Trees
- Regression Trees
- Ensemble Methods
- Results and Discussion
- Settings
- Results
- Conclusions
- References
- Section 6: Image Processing and Other Applications
- Image Region Segmentation Based on Color Coherence Quantization
- Introduction
- Generate the CCQ Image
- Salient CCQ Image Region Segmentation
- The Connectivity Factor
- Merge Coherent Regions
- CCQ Image Segmentation
- Experimental Results
- Conclusions
- References
- Image Retrieval Algorithm Based on Enhanced Relational Graph
- Introduction
- Data Dimension Reduction with Graph Embedding
- Problem Definition
- ARE (Augmented Relation Embedding)
- MMP (Maximize Margin Projection)
- SDA (Semi-supervised Discriminate Analysis)
- The Construction of Enhanced Relational Graph
- Build Hierarchical Relational Matrix
- ESDA
- Experimental Results
- Experiment Settings
- Image Retrieval Experiments
- Conclusions
- References
- Prediction-Oriented Dimensionality Reduction of Industrial Data Sets
- Introduction
- Dimensionality Reduction with PCA
- The Role of Intrinsic Dimension
- Principal Component Analysis
- Algorithm
- Experimental Results
- Algorithm Settings
- Drilling Process
- Milling Process
- Discussion
- Summary
- References
- Informative Sentence Retrieval for Domain Specific Terminologies
- Introduction
- Related Works
- Proposed Methods
- System Architecture
- Data Preprocessing
- Candidate Answers Selection
- Term Weighting and Answer Ranking
- Experiments and Results
- Experiment Setup and Evaluation Metric
- Experimental Results and Discussion
- Conclusion and Future Work
- References
- Section 7: Intelligent Techniques for Document Processing
- Factoring Web Tables
- Introduction
- Header Paths
- Algebraic Formulation and Factorization
- Generation of Relational Tables
- Discussion
- References
- Document Analysis Research in the Year 2021
- Introduction: Setting the Stage
- Document Analysis Research: A Vision of the Future
- Script and Screenplay for the Scenario
- Main Requirements
- Scientific (and Other) Challenges
- Conclusion
- References
- Markov Logic Networks for Document Layout Correction
- Introduction
- Preliminaries
- Learning Layout Correction Theories
- Description Language
- Markov Logic Networks Background
- Experimental Evaluation
- Conclusions
- References
- Extracting General Lists from Web Documents: A Hybrid Approach
- Introduction
- Web Page Layout
- Candidate Generation with Visual Features
- Pruning with DOM-Tree Features
- Visual-Structural Method
- Experiments
- Discussion and Concluding Remarks
- References
- Section 8: Modeling and Support of Cognitive and Affective Human Processes
- Towards a Computational Model of the Self-attribution of Agency
- Introduction
- Apparent Mental Causation
- Computational Model
- Priority Fragments
- Causality Fragments
- Exclusivity Fragment
- Simulation of the I SPY Experiment
- Conclusion and Future Work
- References
- An Agent Model for Computational Analysis of Mirroring Dysfunctioning in Autism Spectrum Disorders
- Introduction
- An Agent Model with a Mirror Neuron System as a Basis
- Functional Analysis and Simulation Based on the Agent Model
- Discussion
- References
- Multi-modal Biometric Emotion Recognition Using Classifier Ensembles
- Introduction
- Component Devices of AMBER
- EEG Headset
- EDA Sensor
- Pulse Reader
- Data
- The Data Collection Experiment
- Feature Extraction and Collating the Data Sets
- Classification Methods
- Results
- Conclusion
- References
- Towards a Fully Computational Model of Web-Navigation
- Introduction
- System Details
- A Behavioral Study to Evaluate the Support Generated by the Automated System
- Method
- Results
- Conclusions and Discussion
- References
- Section 9: Robotics and Navigation
- Stairway Detection Based on Single Camera by Motion Stereo
- Introduction
- Algorithm Description
- Extracting Frames
- Finding the Maximum Distances of the Ground Plane
- Extracting Line Segments
- Extracting the Region of Interest
- Finding the Correspondences
- Estimating the Ground Plane
- Stairway Detection
- Experiment Result
- Conclusion
- References
- Robot with Two Ears Listens to More than Two Simultaneous Utterances by Exploiting Harmonic Structures
- Introduction
- Under-Determined Simultaneous Speech Separation
- Problem Settings for Under-Determined Speech Separation
- Requirements for Under-Determined Speech Separation
- Conventional L1-Norm Speech Separation Method
- Under-Determined Speech Separation Using Constraints on Harmonic Structure
- Outline of Our Method
- Separation with Constraints
- Experiments
- Results of Experiments
- Discussion
- Conclusion and Future Work
- References
- Author Index
