Multi disciplinary Trends in Artificial Intelligence 1st Edition by Narasimha Murty,Xiangjian He,Paul Weng,Raghavendra Rao Chillarige 3319133640 9783319133645

1 Introduction

2 Sequence Generating Algorithm (SGA)

3 Potential Interval Qualifier Algorithm (PIQA)

4 Illustration for SGA and PIQA

5 Numerical Experiments

6 Conclusion

References

Stochastic Leaky Integrator Model for Interval Timing

1 Introduction

2 Spiking Neural Networks

2.1 Spiking Neuron Models

3 The Model

4 Results and Discussion

5 Conclusion and Future Work

References

Multi-objective Exploration for Compiler Optimizations and Parameters

1 Introduction

2 Compiler Optimization Space

3 Multi-objective Exploration Framework

3.1 Experimental Setup

3.2 GA Based Optimization Option Selection and Parameter Set Tuning

3.3 Fitness Function

3.4 Issues Faced during GA Framework

4 Analysis of the Results

5 Summary and Future Work

References

Association Rule Mining via Evolutionary Multi-objective Optimization

1 Introduction

2 Various Optimization Based Techniques

2.1 Firefly Optimization Algorithm (FFO)

2.2 Threshold Acceptance Algorithm (TA)

2.3 Binary Firefly Optimization (MO-BFFO)

3 Multi-objective Association Rule Miners

3.1 Preprocessing

3.2 Rule Representation

3.3 Quality Measures

3.4 Steps Involved in MO-BPSO

3.5 Steps Involved in MO-BFFO-TA

3.6 Steps Involved in MO-BPSO-TA

4 Results and Discussion

5 Conclusion

References

Distance-Based Heuristic in Selecting a DC Charging Station for Electric Vehicles

1 Introduction

2 Related Work

3 DC Charging Station Selection

4 Performance Measurement

5 Conclusions

References

Automated Reasoning in Deontic Logic

1 Introduction

2 Deontic Logic as Modal Logic KD

3 Automated Reasoning for Deontic Logic

3.1 Transformation from Deontic Logic into ALC

3.2 Translation from ALC into DL-Clauses

3.3 Reasoning Tasks

4 Applications

4.1 Contrary-to-duty Obligations

4.2 An Example from Multi-agent Systems

4.3 Experiments

5 Conclusion

References

Image Processing Tool for FAE Cloud Dynamics

1 Introduction

2 Overview of FAE System and FAE Experimental Set Up

2.1 Overview of FAE System

2.2 FAE Experimental Set Up

3 Cloud Dynamics: Image Processing Tools (CDIPT)

3.1 Frame Extraction from the Video

3.2 Cloud ROI Extraction

3.3 Representing the Cloud ROI by MBR

3.4 Radius and Height Determination Process

4 Implementation

5 Demonstration and Validation

5.1 Validation of the Model with the Experimental Data of HEMRL (4.2 kg FAE)

6 Conclusion

References

N-gram Based Approach for Opinion Mining of Punjabi Text

1 Introduction

2 Approach Used

2.1 Stemming

2.2 Negation Handling Process

2.3 N-grams

2.4 Feature Set

2.5 Corpus Generation

3 Methodology

4 Result Evaluation

5 Conclusion and Future Work

References

Application of Game-Theoretic Rough Sets in Recommender Systems

1 Introduction

2 Overview of Game-Theoretic Rough Set Model

3 Applying GTRS in Collaborative Recommendations

3.1 Properties of Accuracy and Generality of Recommendations

3.2 An Approach for Effective Recommendations with GTRS

3.3 Repetitive Threshold Learning with GTRS

4 Experimental Results and Discussion

5 Conclusion

References

RGB – Based Color Texture Image Classification Using Anisotropic Diffusion and LDBP

1 Introduction

2 Anisotropic Diffusion

3 Local Directional Binary Patterns (LDBP)

4 The Proposed Method for Texture Image Classification

4.1 Texture Training Module

4.2 Texture Classification

5 Experimental Results and Discussion

6 Conclusion

References

Knowledge-Based Design for Structural Analysis of Printed Mathematical Expressions

1 Introduction

2 Related Work

2.1 Intermediate Representation

2.2 Structure Generation

3 Proposed Design to ME Structural Analysis

4 ME Tree Structure and Its Generation

4.1 Tree Representation

4.2 Logical Proof for Completeness

4.3 Spatial Efficiency and Generality

4.4 Algorithm to Generate ME Tree

5 Structure Validation

6 Experimental Results and Discussion

7 Conclusions and Future Directions

References

A New Preprocessor to Fuzzy c-Means Algorithm

1 Introduction

2 Related Work

3 Fuzzy c Means

4 New Preprocessor to Fuzzy c-Means Algorithm

4.1 Fuzzy Min-Max Neural Network

4.2 Fuzzy Min-Max Clustering Algorithm

4.3 Fuzzy Min-Max Preprocesser for Fuzzy c-Means

5 Experiments and Results

5.1 Experimental Design

5.2 Results

5.3 Analysis

6 Conclusion

References

Domain Specific Sentiment Dictionary for Opinion Mining of Vietnamese Text

1 Introduction

2 Related Work

3 Dictionary-Based Approach

4 Building Domain Specific Sentiment Dictionary

4.1 Step 1: Building Vietnamese Sentiment Dictionary

4.2 Step 2: Enriching Vietnamese Sentiment Dictionary with Domain Specific Sentiment Words

5 Using Domain Specific Sentiment Dictionary for Opinion Mining

5.1 Word Analysis

5.2 Phrase Analysis

6 Experiments

6.1 Data Pre-processing

6.2 Experimental Results

7 Conclusion

References

Support Vector–Quantile Regression Random Forest Hybrid for Regression Problems

1 Introduction

2 Literature Review

3 Intelligent Techniques Overview

3.1 Support Vector Machine

3.2 Decision Trees

3.3 Classification and Regression Tree (CART)

3.4 Quantile Regression

3.5 Random Forest

3.6 Quantile Regression Random Forest

3.7 DEWNN

3.8 Group Method of Data Handling (GMDH)

3.9 Kernel GMDH

4 Proposed Hybrid, Experiment setup and Dataset Description

4.1 Proposed Hybrid

4.2 Research Methodology

4.3 Data Set Description

5 Results and Discussion

6 Conclusion

References

Clustering Web Services on Frequent Output Parameters for I/O Based Service Search

1 Introduction

2 Clustering Services on Frequent Service Output Parameter Patterns

2.1 Definitions

2.2 Frequent Service Output Parameter Pattern Based Clustering

2.3 Accelerating Parameter Based Service Search

3 Experimental Results

3.1 Performance Analysis

3.2 Performance Improvement Obtained in Output Parameter Based Service Search

4 Related Work

5 Conclusion

References

IntelliNavi : Navigation for Blind Based on Kinect and Machine Learning

1 Introduction

2 Related Work

3 ProposedSystem-

3.1 System Architecture

4 Implementation and Experimental Results

4.1 RGB-D Object Dataset

4.2 System Integration and Testing

5 Conclusion and Future Works

References

A Trust Metric for Online Virtual Teams and Work Groups

1 Introduction

1.1 Trust

1.2 Recommender Trust

1.3 Direct Trust Computation

1.4 Indirect Trust Computation

1.5 Recommender Trust Computation

2 Conclusion

References

Web Service Composition Using Service Maps

1 Introduction

2 Related Work

3 SMap for Specification and Composition

3.1 SMap Specification and Its Extension

3.2 Querying SMaps – A Composition Perspective

4 Service Composition : A Process

4.1 Identifying Service Maps

4.2 Composability of SMaps

4.3 Service Composition and Ranking

5 Framework for SMap Composition Extending Juddi

6 Conclusion

References

Integrated Representation of Spatial Topological and Size Relations for the Semantic Web

1 Introduction

2 Background and RelatedWork

3 Spatial Representation

3.1 Decomposition of RCC-QS Relations

4 Spatial Reasoning

4.1 RCC5-QS Reasoning Using Decomposition

4.2 Reasoning over Integrated RCC-5 and Size Relations

5 Reasoning over RCC-8 Topologic and Size Relations

6 Evaluation

6.1 Experimental Evaluation

7 Conclusions and Future Work

References

Using Bayesian Networks to Model and Analyze Software Product Line Feature Model

1 Introduction

2 Feature Diagram and Bayesian Network

3 Feature Modeling Analysis Rules

4 Analysis Rules in BN

5 Conclusion

References

A Content-Based Approach for User Profile Modeling and Matching on Social Networks

1 Introduction

2 Preliminaries

2.1 Pretopology Concepts

2.2 LDA Topic Model

2.3 Collapsed Gibb Sampling

2.4 Vietnamese Text Processing

3 Content-Based Profiling and Matching

3.1 Building User Profiles

3.2 Matching Strategy

3.3 Generating Subsets of Similar Users

4 Experiment Results

5 Conclusion