Multi-disciplinary Trends in Artificial Intelligence

Name: Multi-disciplinary Trends in Artificial Intelligence | 13th International Conference, MIWAI 2019, Kuala Lumpur, Malaysia, November 17-19, 2019, Proceedings
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13th International Conference, MIWAI 2019, Kuala Lumpur, Malaysia, November 17-19, 2019, Proceedings

Rapeeporn Chamchong Kok Wai Wong(Editor)

Springer (Publisher)

Published on 6. November 2019

XV, 282 pages

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978-3-030-33709-4 (ISBN)

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Content

Intro
Preface
Organization
Algorithms to Find Interesting and Interpretable High Utility Patterns in Symbolic Data (Keynote Abstract)
Contents
Regular Papers
Text Relation Extraction Using Sentence-Relation Semantic Similarity
Abstract
1 Introduction
2 Literature Review
3 Building Vector Representations
3.1 The Model
3.2 The Initial Input Representations
3.3 The Training Objective
4 Experiments and Results
5 Conclusion
References
Internet of Things Sensors and Actuators Layered Fog Service Delivery Model SALFSD
1 Introduction
2 Background and Related Work
3 SALFSD Architecture
3.1 Top Level Description
3.2 Things and Gateway Layer
3.3 Fog Layer
3.4 Cloud Layer
3.5 Reducing Response Time and Failure Plan
4 Comparison with Related Work
5 Conclusion
References
Smartphone Based Outdoor Navigation and Obstacle Avoidance System for the Visually Impaired
1 Introduction
2 Related Work
3 Walking Navigation
3.1 Location
3.2 Voice Entry
3.3 Voice Navigation
4 Obstacle Avoidance
4.1 Obstacle Detection
4.2 Obstacle Ranging
4.3 Obstacle Warning
5 Experiments and Discussions
6 Conclusion
References
Recent Developments in Recommender Systems
1 Introduction
2 Types of Recommender Systems
2.1 Content Based RS
2.2 Collaborative Filtering RS
2.3 Demographic Filtering RS
2.4 Hybrid RS
2.5 Context Aware RS
3 Challenges of Recommender System
3.1 Cold Start
3.2 Sparsity
3.3 Scalability
4 Literature Review
4.1 Similarity Measures Approach
4.2 Association Rules Approach
4.3 Segmentation Approach
4.4 Machine Learning Approach
4.5 Matrix or Tensor Factorization Approach
4.6 Sentiment Analysis Approach
4.7 Deep Learning Approach
4.8 Hybrid Approach
5 Approaches Summary
6 Future Research Direction
6.1 Recommendation System Approaches
6.2 Challenges Solving Perspective
7 Conclusion
References
Effect of Feature Selection in Software Fault Detection
1 Introduction
2 Related Work
3 DataSet Overview
4 Feature Selection Techniques
5 Effect of Feature Selection
6 Result Analysis
7 Conclusion
References
An Accurate 1D Camera Calibration Based on Weighted Similar-Invariant Linear Algorithm
1 Introduction
2 Preliminaries
2.1 Camera Model
2.2 1D Calibration Object
3 The Principle of 1D Calibration
3.1 Zhang's 1D Calibration Algorithm (ZLA)
3.2 Franca et al.'s Normalized Linear Algorithm (FNLA)
3.3 Nonlinear Optimization
4 Improve Accurate 1D Calibration Algorithm Based on WSILA
4.1 Weighted Similarity-Invariant Linear Algorithm (WSILA)
4.2 The Improved Nonlinear Optimization Procedure (INOP)
5 Experimental Results
5.1 Simulations
5.2 Laboratory Experiments
6 Conclusion
References
AAT: An Efficient Model for Synthesizing Long Sequences on a Small Dataset
1 Introduction
2 Related Work
2.1 Deep Learning for TTS
2.2 Sequence to Sequence (seq2seq) Learning
2.3 Vietnamese Text-to-speech System
3 Proposed Appproach
3.1 Convolution Encoder
3.2 Local Diagonal Attention
3.3 Decoder
3.4 Converter
4 Experiments and Results
4.1 Experiment Setup
4.2 Evaluation
5 Conclusions
References
Facial Expression Recognition Using Directional Gradient Local Ternary Patterns
1 Introduction
2 Literature Review and Related Work
3 Methods and Techniques
3.1 Gradient Local Ternary Patterns
3.2 Directional Gradient Local Ternary Patterns
4 Experiment Setup
4.1 Dataset
4.2 Pre-processing
4.3 Principal Component Analysis
4.4 Results on the JEFFE Dataset
4.5 Testing Procedures
5 Conclusion
References
The Entity Recognition of Thai Poem Compose by Sunthorn Phu by Using the Bidirectional Long Short Term Memory Technique
Abstract
1 Introduction
2 Relate Work
3 The Methodology
3.1 Data Preparation
3.2 The Model
4 The Experiment and Result
5 Conclusion
References
Generation of Efficient Rules for Associative Classification
1 Introduction
2 Related Work
3 Basic Definitions
4 The Proposed Algorithm
4.1 Efficient 1-Ruleitem Generation
4.2 Redundant Rule Removal
4.3 Ruleitem Extension
4.4 Default Rule Creation
5 Experimental Setting and Result
6 Conclusion
References
Children Activity Descriptions from Visual and Textual Associations
1 Introduction
2 Related Works
3 Encoding-Decoding Children Activities
3.1 Visual and Textual Information
4 Experimental Setup and Discussion
4.1 Experimental Results
4.2 Discussion
5 Conclusion and Future Directions
References
Randomspace-Based Fuzzy C-Means for Topic Detection on Indonesia Online News
Abstract
1 Introduction
2 Methods
2.1 Fuzzy C-Means
2.2 Kernel-Based Fuzzy C-Means
2.3 Random Projection
2.4 Randomspace-Based Fuzzy C-Means
2.5 Kernelized Randomspace-Based Fuzzy C-Means
3 Results and Discussion
3.1 Topic Interpretability
4 Conclusions
Acknowledgment
References
Image Stitching Based on Discrete Wavelet Transform and Slope Fusion
1 Introduction
2 Traditional Image Fusion Algorithm
2.1 Gradual Fusion
2.2 Wavelet Fusion
3 Improved DWT-SF Algorithm
3.1 Improved Slope Fusion Algorithm
3.2 Low-Frequency Component Using Slope Fusion Algorithm
3.3 High-Frequency Components Using Sub-regional Slope Fusion Algorithm
4 Experiment Results
4.1 Fusion Indicators
4.2 Comparison of Wavelet Fusion Rules
4.3 Comparison of Fusion Indicators
5 Conclusion
References
Dynamic Hand Gesture Recognition from Multi-modal Streams Using Deep Neural Network
1 Introduction
2 Related Works
3 Proposed Method for Human Action Recognition from Multi-modal Data Streams
3.1 General Framework
3.2 Feature Extraction from Multi-modal Data Streams
3.3 Modalities Fusion
4 Experiments
4.1 Dataset
4.2 Experimental Results
5 Conclusions
References
Cross-Domain Face Recognition Using Dictionary Learning
1 Introduction
2 Related Work
3 Proposed Method
3.1 Common Subspace Learning
3.2 Metric Learning
4 Experimental Results and Analysis
5 Conclusions and Future Work
References
Parking Slot Assignment for Overnight Electric Vehicle Charging Based on Network Flow Modeling
1 Introduction
2 Background
3 Slot Assignment Design
4 Performance Analysis
5 Conclusion
References
AIBA: An AI Model for Behavior Arbitration in Autonomous Driving
1 Introduction and Related Work
2 Driving Scene Description
2.1 Driving Scene Analysis
2.2 Description Proposal
3 Driving Scene Modelling
4 Experiments
5 Conclusion
References
A Hierarchical Classification Method Used to Classify Livestock Behaviour from Sensor Data
Abstract
1 Introduction
2 Background
3 Data and Methodology
3.1 Data
3.2 Data Collection and Labelling of Data
3.3 Training and Testing Data Sets
3.4 Second Datasets - Benchmark Dataset
3.5 Hierarchical Classification Method
3.6 Experimental Set Up
4 Results and Discussion
5 Conclusion
Acknowledgement
References
A Study of Features Affecting on Stroke Prediction Using Machine Learning
1 Introduction
2 Data Collection and Preparation
3 Stroke Detection
3.1 Learning Classifiers for Prediction
3.2 Feature Selection
3.3 Evaluation
4 Experiments and Discussion
5 Conclusion
References
Short Papers
Content-Based Health Recommender System for ICU Patient
Abstract
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Sample Dataset
3.2 Dataset Preprocessing
3.3 Apriori and Eclat
3.4 TF-IDF and Similarity Metric
3.5 Model Training
4 Analysis and Evaluation of the Proposed Model
4.1 Out of Sample Validation
4.2 Validation of the CBR from Hospital Terminal
5 Conclusion
References
Domain-General Versus Domain-Specific Named Entity Recognition: A Case Study Using TEXT
1 Introduction
2 TEXT
3 Domain General NER
4 Experimental Setup
5 Results
6 Conclusion
References
Pixel-Level Crack Detection in Images Using SegNet
1 Introduction
2 Architecture of SegNet and the Performance Evaluation Indicators
2.1 Architecture of SegNet
2.2 Performance Evaluation Indicators
3 Crack Image Dataset
3.1 Data Acquisition and Labeling
3.2 Data Extension
3.3 Sliding Window Scanning Arbitrary Size Image for Detection
4 Experiments
4.1 Training Process
4.2 Comparative Analysis of Training Results
5 Conclusion
References
Statistical Analysis of the Performance of the State-of-the-Art Methods for Solving TSP Variants
Abstract
1 Introduction
2 Computational Results
2.1 Analysis of the TSPTW
2.2 Analysis of the 1-PDTSP
3 Conclusion
Acknowledgement
References
Identification of Conversational Intent Pattern Using Pattern-Growth Technique for Academic Chatbot
Abstract
1 Introduction
2 Related Works
3 The AcaBot Framework
3.1 AcaBot Knowledge Base
3.2 AcaBot Intent Identification
4 Preliminary Findings
5 Conclusion and Future Works
References
Road Sign Detection and Recognition of Thai Traffic Based on YOLOv3
Abstract
1 Introduction
2 Related Work
3 The Modification Network Architecture of YOLOv3
4 Data Collections
5 Experimental Results
6 Conclusion
Acknowledgement
References
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Multi-disciplinary Trends in Artificial Intelligence

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