Intelligent Systems Design and Applications

Name: Intelligent Systems Design and Applications | 18th International Conference on Intelligent Systems Design and Applications (ISDA 2018) held in Vellore, India, December 6-8, 2018, Volume 2
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18th International Conference on Intelligent Systems Design and Applications (ISDA 2018) held in Vellore, India, December 6-8, 2018, Volume 2

Ajith Abraham Aswani Kumar Cherukuri Patricia Melin Niketa Gandhi(Editor)

Springer (Publisher)

1st Edition

Published on 13. April 2019

XXI, 1114 pages

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Content

Intro
Preface
Organization
Chief Patron
Patrons
Advisors
General Chairs
Program Chairs
International Advisory Board
Publication Chair
Web Master
Publicity Committee
Local Organizing Committee
Advisory Committee
Organizing Chair
Finance Committee
Event Management Committee
Hospitality and Guest Care Committee
Printing Committee
Registration Committee
Technical Program Committee
Contents
Differential Evolution Trained Fuzzy Cognitive Map: An Application to Modeling Efficiency in Banking
Abstract
1 Introduction
2 Motivation
3 Contribution
4 Related Work
5 Proposed Methodology
5.1 Activation Function
5.2 MAPE Measure
5.3 RMSE Measure
5.4 DE-FCM
5.5 Hebbian Trained FCM
5.6 Sequential and Batch Modes of Training
6 Description of the Dataset
7 Experimental Setup
8 Results and Discussion
9 Conclusion and Future Directions
References
Novel Authentication System for Personal and Domestic Network Systems Using Image Feature Comparison and Digital Signatures
1 Introduction
2 Related Work
2.1 Background
2.2 Disadvantages of Existing Systems
3 Pipeline and Working
3.1 Motivation
3.2 Pipeline
4 Risk Analysis and Feasibility
5 Conclusion
References
Detecting Helmet of Bike Riders in Outdoor Video Sequences for Road Traffic Accidental Avoidance
Abstract
1 Introduction
1.1 Motivation and Challenges
2 Related Work
3 Proposed Methodology
3.1 Background Modeling
3.2 Object Detection and Its Segmentation
3.3 Classification
4 Experimental Analysis and Result Discussion
5 Conclusion and Future Issues
5.1 Future Scopes
References
Strategies and Challenges in Big Data: A Short Review
Abstract
1 Introduction
1.1 Definition and Characteristics of Big Data
1.2 Classification of Big Data
2 Research Challenges in Big Data
2.1 Data Accessing and Mining Platform
2.1.1 Storage Infrastructure
2.1.2 Data Management Tools
2.2 Semantic and Knowledge of Application Domain
2.2.1 Data Privacy While Sharing
2.2.2 Knowledge of Application Domain
2.3 Big Data Analytics
2.3.1 Incremental/Stream Processing
2.3.2 Batch Processing
3 Big Data Analytic Methods
3.1 Mining Algorithms for Specific Problems
3.2 Machine Learning Algorithms for Big Data
4 Research Challenges and Issues in Big Data
5 Conclusions
References
Autonomous Water Surveillance Rover
1 Introduction
2 Prior Art
3 Mechanical System
3.1 Mechanical Design
3.2 Propulsion System
3.3 Buoyancy
4 System Configuration of AWSR
4.1 Power System
4.2 User Control System
4.3 Computation and Data Logging System
4.4 Data Acquisition System
4.5 Propulsion System
5 Testing and Results
6 Conclusion
References
Bidirectional LSTM Joint Model for Intent Classification and Named Entity Recognition in Natural Language Understanding
Abstract
1 Introduction
2 Related Work
3 Dataset
4 Model
5 Training Method
6 Results
6.1 Joint Model Results
6.2 Independent Model Results
7 Conclusion and Future Work
References
Analysis on Improving the Performance of Machine Learning Models Using Feature Selection Technique
Abstract
1 Introduction
2 Related Work
3 Preliminary Examination of Data
3.1 Data Description
3.2 Data Preprocessing
4 Proposed Methodology
4.1 System Architecture
4.2 Feature Selection
4.3 Evaluation Criteria
5 Results
6 Conclusion
7 Future Work
References
Runtime UML MARTE Extensions for the Design of Adaptive RTE Systems
Abstract
1 Introduction
2 Related Works
2.1 The High-Level Design of the Adaptive RTE Systems
2.2 Runtime Models for the Design of Adaptive RTE Systems
3 The Proposed Extensions
3.1 The RuntimeReconfiguration Package
3.2 Runtime State Machine
4 Case Study: An Adaptive Flood Prediction System
5 Conclusion and Future Work
References
A Normalized Rank Based A* Algorithm for Region Based Path Planning on an Image
Abstract
1 Introduction
2 Problem Formulation
3 Materials and Methods
3.1 A* Algorithm
3.1.1 Admissibility, Monotonicity, Informedness
3.1.2 Distance Metric
3.2 Normalized Rank-Based A* Algorithm
4 Results and Discussion
5 Conclusion
Acknowledgement
References
Quantum Inspired High Dimensional Conceptual Space as KID Model for Elderly Assistance
Abstract
1 Introduction
2 Literature Review
3 High Dimensional Conceptual Space
4 Proposed Work
5 Experimental Analysis
6 Discussion
7 Conclusions
Acknowledgement
References
Hybrid Evolutionary Algorithm for Optimizing Reliability of Complex Systems
Abstract
1 Introduction
2 Literature Survey
3 Improved Modified Harmony Search + Modified Differential Evolution
3.1 Improved Modified Harmony Search
3.2 Modified Differential Evolution
3.3 Improved Modified Harmony Search + Modified Differential Evolution
4 Constraint Handling
4.1 Static Extinctive Penalty
5 Problem Definitions
6 Results and Discussion
7 Conclusion
References
Identification of Phishing Attack in Websites Using Random Forest-SVM Hybrid Model
Abstract
1 Introduction
2 Related Work
3 Background
3.1 Random Forest (RF)
3.2 Support Vector Machine
4 Proposed Model
5 Experimental Results
5.1 Dataset
5.2 Comparative Study
6 Conclusion
References
Conflict Detection and Resolution with Local Search Algorithms for 4D-Navigation in ATM
1 Introduction
2 Notions on Simulated Annealing
3 Proposed Model
3.1 Trajectory Prediction
3.2 Conflict Detection
3.3 Conflict Resolution
4 Simulation and Results
5 Conclusion
5.1 Discussion and Future Work
References
Using Severe Convective Weather Information for Flight Planning
1 Introduction
2 Air Traffic Management
3 Aeronautical Meteorology
4 Tracking Intersections Between Airways and Convection Cells with DBSCAN
4.1 Data Sources
4.2 Normalizing Flight Positions with Linear Interpolation
4.3 Delimiting the Boundaries of Airways
4.4 Search for Intersections Between Airways and Convection Cells
5 Case Study
6 Conclusions
References
Fault Tolerant Control Using Interval Type-2 Takagi-Sugeno Fuzzy Controller for Nonlinear System
Abstract
1 Introduction
2 FTC Design Using Interval Type-2 T-S Fuzzy Logic Controller
2.1 Background of the Type-2 Fuzzy Logic Control
2.2 Type-2 Fuzzy Logic Control
2.3 Interval Type-2 T-S Fuzzy Logic Controller
2.4 Passive FTC Design
3 Process Description and Mathematical Model
4 Simulation Results
5 Conclusion
References
A Semi-local Method for Image Retrieval
Abstract
1 Introduction
2 SPM with Global Descriptors
3 Experimental Comparison
4 Conclusion
References
Physical Modeling of the Tread Robot and Simulated on Even and Uneven Surface
Abstract
1 Introduction
2 Physical Modeling of Tread Robot
2.1 CAD Model of the Robot
2.2 Simulink Model of the Tread Robot
2.2.1 Ground Contact Model
3 Simulation Results
4 Conclusions
References
ipBF: A Fast and Accurate IP Address Lookup Using 3D Bloom Filter
1 Introduction
2 ipBF: The Proposed System
2.1 3D Bloom Filter
2.2 Insertion
2.3 Lookup
2.4 Hashtable
3 Analysis
3.1 False Positive Probability
3.2 Memory Consumption
3.3 Accuracy
3.4 Performance
4 Conclusion
References
From Dynamic UML/MARTE Models to Early Schedulability Analysis of RTES with Dependent Tasks
1 Introduction
2 Motivation and Related Work
3 Overview of Schedulability Analysis Tools
4 Proposed Process for Early Schedulability Analysis of RTES with Dependent Tasks
4.1 Overview
4.2 UML/MARTE Model
4.3 Simso Tool
4.4 From Annotated Dynamic Model to SimSo Tool Meta-Model: Model to Text Transformation Rules
5 Case Study
6 Conclusion
References
Improving Native Language Identification Model with Syntactic Features: Case of Arabic
Abstract
1 Introduction
2 Related Works
3 Proposed Method
3.1 Text Pre-processing
3.2 Features
3.3 Classification Model
4 Experimental Setup
4.1 Data Set
4.2 Results
5 Conclusion
References
Comparison of a Backstepping and a Fuzzy Controller for Tracking a Trajectory with a Mobile Robot
Abstract
1 Introduction
2 Kinematic Model of the Robot
3 Dead-Reckoning
4 Backstepping Controller
5 Fuzzy Controller
6 Results
6.1 Fuzzy Experimental Results
6.2 Backstepping Experimental Results
6.3 Integral Absolute Error (IAE)
7 Conclusion
References
Modelling Complex Transport Network with Dynamic Routing: A Queueing Networks Approach
1 Introduction
2 Process Definition
3 Main Results
References
Math Modeling of the Reliability Control and Monitoring System of Complex Network Platforms
1 Introduction
2 Model of the Reliability Optimisation
3 Reliability Optimisation of a System of Two Independent Elements
4 Conclusion
References
Construction and Merging of ACM and ScienceDirect Ontologies
Abstract
1 Introduction
2 ACM Ontology Construction
3 ScienceDirect Ontology Construction
4 Protégé
4.1 Prompt Plug-In
5 Merging of Ontologies - ACM Ontology and ScienceDirect Ontology
6 Concept Lattice
6.1 Conexp
7 Conclusion
References
An Empirical Assessment of Functional Redundancy Semantic Metric
Abstract
1 Introduction
2 Fundamentals of Software Quality
2.1 Software Dependability
2.2 Software Fault Tolerance
2.3 Software Semantic Metrics for Redundancy Assessment
3 Automatic Computing of Functional Redundancy Semantic Metric
3.1 Theoretical Definition and Objective
3.2 Illustrative Example
3.3 Automatic Computing Process
4 Correlation Between State Redundancy and Functional Redundancy Metrics
4.1 Data Standardization and Normality Tests
4.2 Correlation Analysis and Results' Interpretation
5 Conclusion and Perspectives
References
An Enhanced Plagiarism Detection Based on Syntactico-Semantic Knowledge
1 Introduction
2 Related Studies
3 Plagiarism Detection Process
3.1 Pre-processing
3.2 Linguistic Manipulation
3.3 Similarity Detection
4 Experimental Results
5 Conclusion
References
Towards an Upper Ontology and Hybrid Ontology Matching for Pervasive Environments
1 Introduction
2 Related Work
3 Upper Ontology for Pervasive Environments
4 Hybrid Ontology Matching
5 Experimental Results
6 Conclusion
References
Emotion Assessment Based on EEG Brain Signals
1 Introduction
2 Related Works
3 The Proposed Work
3.1 Database Acquisition and Pre-processing
3.2 Feature Extraction and Classification
4 Results and Discussion
5 Conclusion
References
Characterization of Edible Oils Using NIR Spectroscopy and Chemometric Methods
Abstract
1 Introduction
2 Materials and Methods
2.1 Samples
2.2 Instrument
2.3 Spectra Collection
2.4 Spectral Preprocessing and Outlier Detection
2.5 Outlier Detection
2.6 Wavelength Selection
3 Result and Discussions
3.1 Wavelength Selection
3.2 Classification Results
4 Conclusion
References
Design and Application of Controller Based on Sine-Cosine Algorithm for Load Frequency Control of Power System
Abstract
1 Introduction
2 Model Description
3 Problem Description
4 Sine-Cosine Algorithm
4.1 Sine-Cosine Algorithm (SCA)
4.2 Implementation to LFC Problem
5 Case Study and Discussion
6 Conclusion
References
A Perusal Analysis on Hybrid Spectrum Handoff Schemes in Cognitive Radio Networks
Abstract
1 Introduction
2 Related Work
3 Proposed System
3.1 Fuzzy Rough Set Model
3.2 Optimization by SVM
4 Results and Analysis
5 Conclusion
References
On Human Identification Using Running Patterns: A Straightforward Approach
1 Introduction
2 Related Work
3 Proposed Method
3.1 Feature Extraction and Selection
4 Experimental Results and Discussion
4.1 Experimental Results on KTH Database
4.2 Experimental Results on Weizmann Database
5 Conclusion
References
Analysis of Encoder-Decoder Based Deep Learning Architectures for Semantic Segmentation in Remote Sensing Images
Abstract
1 Introduction
2 Recent Works
3 Methodology
3.1 System Architecture
4 Experimental Framework
4.1 Implementation
4.2 Dataset
4.3 Data Preprocessing
4.4 Hyperparameter Initialization
4.5 Class Balancing
5 Results and Discussion
6 Conclusion
Acknowledgement
References
Predicting Efficiency of Direct Marketing Campaigns for Financial Institutions
Abstract
1 Introduction
2 Related Works
3 System Implementation
3.1 Input to System
3.2 Data Preprocessing
3.3 K - Nearest Neighbour
3.4 Random Forest
3.5 K - Nearest Neighbour Using TensorFlow
4 Result Analysis
4.1 K - Nearest Neighbour (KNN)
4.2 Random Forest
4.3 KNN Using Tensorflow
4.4 Comparative Analysis
5 Conclusion
References
Le Vision: An Assistive Wearable Device for the Visually Challenged
1 Introduction
2 Related Work
3 Problem Specification
4 Proposed Framework
5 Le Vision System Design
5.1 Le Vision Framework
6 Emperical Evaluation
7 Conclusion
References
Permission-Based Android Malware Application Detection Using Multi-Layer Perceptron
1 Introduction
2 Related Work
3 Approach
3.1 Multi-Layer Perceptron
4 Experiments and Results
5 Conclusion
References
Accelerating Image Encryption with AES Using GPU: A Quantitative Analysis
Abstract
1 Introduction
2 Literature Review
3 Proposed Work
4 Results
5 Conclusion
References
Intelligent Analysis in Question Answering System Based on an Arabic Temporal Resource
Abstract
1 Introduction
2 Related Work
3 Motivation
4 Particularity of Arabic Language and Temporal Constraints
5 Proposed Approach
5.1 Question Analysis
5.2 Document Processing
5.3 Answer processing
6 Evaluation
7 Conclusion
References
Towards the Evolution of Graph Oriented Databases
1 Introduction
2 Related Work
3 Formalization of the Graph-Oriented Model
4 Data Migration Process
4.1 Nodes Migration Process
4.2 Relationships Migration Process
5 Conclusion
References
Arabic Logic Textual Entailment with Feature Extraction and Combination
Abstract
1 Introduction
2 Related Works
3 Proposed Approach for Logic RTE in Arabic Language
3.1 Features Extraction and Entailment Determination
3.2 Features Combination and Entailment Decision
4 Experiments and Results
5 Conclusion
Acknowledgements
References
Transformation of Data Warehouse Schema to NoSQL Graph Data Base
1 Introduction
2 Related Work on NoSQL Data Warehousing
3 Conceptual Multidimensional Model
4 Formalization of Graph-Oriented Databases
5 Transformation Rules
5.1 First Transformation
5.2 Second Transformation
6 Conclusion
References
Translation of UML Models for Self-adaptive Systems into Event-B Specifications
1 Introduction
2 Translation of Self-adaptive System UML Model into Event-B Specifications
3 Illustration: The Forest Fire Detection System (FFDS)
3.1 Structural Transformation of UML Self-adaptive System Model Instantiating the Master/Slave Pattern
4 Conclusion
References
Evolutionary Multi-objective Whale Optimization Algorithm
Abstract
1 Introduction
2 Multi-objective Optimization
3 Methods for Developing MOWOA
3.1 Whale Optimization Algorithm
3.2 Exploitation Phase (Includes Encircling Prey and Bubble-Net Attacking Method)
3.3 Exploration Phase (Random Search for Prey)
3.4 Multi-objective Whale Optimization Algorithm
3.5 Archiving Mechanism
3.6 Group WOA Local Search
4 Experiment and Results
4.1 Experimental Setup
4.2 Discussion on Obtained Results
5 Conclusion
References
Comparative Performance Analysis of Different Classification Algorithm for the Purpose of Prediction of Lung Cancer
Abstract
1 Introduction
2 Related Works
3 Theoretical Description
3.1 Naïve Bayes
3.2 Logistic Regression
3.3 K-Nearest Neighbors (KNN)
3.4 Tree
3.5 Random Forest
3.6 Neural Network
4 Flow Diagram
5 Simulation Results
5.1 Predictions and Evaluation Results
5.2 Confusion Matrix
5.3 Distribution
5.4 ROC Analysis
6 PCA Analysis
7 Classification Tree
8 MDS
9 Hierarchical Clustering
10 Conclusion
References
Image Encryption Using New Chaotic Map Algorithm
Abstract
1 Introduction
2 Background
3 Proposed Methodology
4 Results and Discussion
4.1 Histogram
4.2 NPCR, Number of Pixel Change Rate
4.3 UACI, Unified Average Change Intensity
5 Conclusion
References
Fast Implementation of Tunable ARN Nodes
Abstract
1 Introduction
2 Basic ARN Implementation
3 Tunable ARN Nodes
4 Applications Using Hierarchical ARN
5 Approximation Methods to Implement Tunable ARN Node
6 Hardware Implementations
6.1 Numerical Representation
6.2 Scaled Shifted Sigmoid Resonator
6.3 State Transition Module
6.4 ARN Node
7 Conclusion
References
Efficient Framework for Detection of Version Number Attack in Internet of Things
1 Introduction
2 DODAG Version Number Attack (DVA) Threat Model
2.1 Attack Threat Model
3 Existing Literature and Motivation
4 Analyzing RPL-6LOWPAN Performance Under Version Number Attack
4.1 Emulation of DODAG Version Number Attack
5 Proposed Framework for Detection of DODAG Version Number Attacks
5.1 Mechanism for Detection of DODAG Version Number Attack
5.2 Identification of Malicious Nodes
6 Results and Discussion
7 Conclusion
References
Facial Keypoint Detection Using Deep Learning and Computer Vision
Abstract
1 Introduction
2 Literature Review
3 Part 1: Pre-processing and Face Detection
3.1 Step 0: Detection of Faces Using Classifier
3.2 Step 2: De-noise an Image for Better Face Detection
3.3 Edge Detection
4 PART 2: Train a CNN to Detect Facial Keypoints
4.1 Step 5: Create a CNN to Identify Facial Keypoints
5 PART 3: Completing the Pipeline
6 Results
7 Conclusion
Acknowledgment
References
Implementation of Harmonic Oscillator Using Xilinx System Generator
Abstract
1 Introduction
2 Harmonic Oscillator Discretization Methods
2.1 Euler's Explicit Integration Method
2.2 Euler's Implicit Integration Method
2.3 Bilinear Transformation Method
2.4 Hybrid Method
3 VHDL Simulation and FPGA Implementation Results
4 Applications of Harmonic Oscillator
5 Conclusion
References
Image Classification Using Deep Learning and Fuzzy Systems
Abstract
1 Introduction
2 Literature Review
3 Proposed Framework
4 Results and Discussions
5 Conclusion
References
An Evidential Collaborative Filtering Dealing with Sparsity Problem and Data Imperfections
1 Introduction
2 Belief Function Framework
3 Related Work
4 Evidential Hybrid Smoothing-Based CF (E-HSBCF)
4.1 Notations
4.2 Identifying Items' Neighborhhod
4.3 Modeling Items' Neighborhood Ratings
4.4 Generating Items' Neighborhood Predictions
4.5 Smoothing Process
4.6 Identifying Users' Neighborhhod
4.7 Modeling Users' Neighborhood Ratings
4.8 Generating Users' Neighborhood Predictions
4.9 Final Predictions and Recommendations
5 Experimental Study and Analysis
5.1 Evaluation Measures
5.2 Results
6 Conclusion
References
Study of E-Learning System Based on Cloud Computing: A Survey
Abstract
1 Introduction
2 Basic Concepts on Cloud Computing
2.1 Introduction to Cloud Computing
2.2 Cloud Computing Layers
2.3 Impact of Cloud Computing in E-Learning
3 Related Work
4 Proposed Model
5 Conclusion
References
Trusted Friends' Computation Method Considering Social Network Interactions' Time
Abstract
1 Introduction
2 Related Works
3 Time-Sensitive Method for Calculating Trusted Friends on Social Networks
4 Facebook Application for Identifying Trusted Friends
5 Evaluation and Comparison
6 Conclusion and Future Work
References
Delay and Quality of Link Aware Routing Protocol Enhancing Video Streaming in Urban VANET
Abstract
1 Introduction
2 Related Work
3 Delay and Quality of Link Aware Routing Protocol
3.1 Collecting Information of Neighboring Vehicles
3.2 Monitoring the Vehicles Qualities of Links
3.3 Route Discovery
3.4 Route Maintenance
3.5 Fuzzy Formulation of DQLR
4 Performance Evaluation
4.1 PSNR
4.2 MOS and SSIM
4.3 End-to-End Delay
4.4 Frame Loss
5 Conclusion
References
Incremental Algorithm Based on Split Technique
1 Introduction
2 K-Means
2.1 K-Means Algorithm
2.2 Distance Measure
3 Incremental Clustering
4 Proposed Approach
4.1 Incremental K-Means Algorithm
5 Experimentation
5.1 Framework
5.2 Evaluation Criteria
5.3 Results and Discussion
6 Conclusion
References
Family Coat of Arms and Armorial Achievement Classification
1 Introduction
2 Related Work
3 Dataset Description
3.1 Train and Test Data Preparation
4 Model
4.1 Final Architectures
5 Training
6 Results and Discussion
7 Conclusion
References
FAST Community Detection for Proteins Graph-Based Functional Classification
1 Introduction
2 Related Work
2.1 Protein Binding Sites Graphical Modeling
2.2 Graph Matching
3 FAST Community Detection for Predicting Proteins Family
4 Experiments
4.1 The Framework
4.2 Evaluation Criteria
4.3 Results and Discussion
5 Conclusion
References
A Group Recommender System for Academic Venue Personalization
1 Introduction
2 Related Work
3 Academic Venues Group Recommendations
3.1 Authors Phase
3.2 Co-authors Phase
3.3 Co-citers Phase
3.4 Hybridization Phase
4 Experiments
4.1 Dataset
4.2 Evaluation Metrics
4.3 Results and Discussion
5 Conclusion
References
Imprecise Label Aggregation Approach Under the Belief Function Theory
1 Introduction
2 Related Work
3 Background on the Belief Function Theory
4 IMP-BLA: Imprecise Belief Label Aggregation
4.1 Step 1: Mass Functions Generation
4.2 Step 2: Expertise Estimation
4.3 Step 3: Mass Functions Discounting
4.4 Step 4: Mass Functions Aggregation
5 Experimentation
6 Conclusion and Future Work
References
An Augmented Algorithm for Energy Efficient Clustering
Abstract
1 Introduction
2 Proposed Protocol
2.1 Cluster Head Selection and Election Methodology
3 Results and Discussions
3.1 Simulation Parameters and Scenarios Created
3.2 Simulation Results
4 Conclusion
References
Analysis of Left Main Coronary Bifurcation Angle to Detect Stenosis
Abstract
1 Introduction
2 Materials and Methods
2.1 Materials
2.2 Methods
2.2.1 Pre-processing Technique
2.2.2 Segmentation Techniques
3 Results and Discussion
3.1 Preprocessing the Coronary Cine Angiogram Images
3.2 Segmentation Techniques
3.3 Frangi Filter
3.4 Centerline Detection
3.5 Bifurcation Points Detection
3.6 Bifurcation Angle Measurement
3.7 Confusion Matrix
3.8 Performance Measure
4 Conclusion
Acknowledgment
References
A Crisp-Based Approach for Representing and Reasoning on Imprecise Time Intervals in OWL 2
Abstract
1 Introduction
2 Preliminaries and Related Work
2.1 Representing Temporal Data in OWL
2.2 Allen's Interval Algebra
3 Our Approach for Representing Imprecise Time Intervals in OWL 2
3.1 The Classical 4D-Fluents Approach
3.2 Our Extension of the 4D-Fluents Approach
4 Our Approach for Reasoning on Imprecise Time Intervals in OWL 2
4.1 Our Extension of the Allen's Interval Algebra
4.2 Inferring Our Crisp Temporal Interval Relations Using SWRL Rules
5 Application to the Captain Memo Memory Prosthesis
6 Conclusion
References
Algorithmic Creation of Genealogical Models
Abstract
1 Introduction
2 Genealogical Models
3 Algorithm for Genealogical Model Creation
3.1 Role Set Creation
3.2 Assignment of Previous Matching Roles
3.3 Evaluation of Assigned Roles
3.4 Identity Creation
3.5 Semantic Check of the Model
3.6 Model Reconfiguration
4 Experiments and Results
5 Conclusion
Acknowledgement
References
Android Malicious Application Classification Using Clustering
1 Introduction
2 Dataset and Feature Extraction
3 Experimental Analysis and Result
3.1 Malware Detection Without Clustering
3.2 Clustering Based Malware Detection
4 Conclusion
References
Performance Evaluation of Data Stream Mining Algorithm with Shared Density Graph for Micro and Macro Clustering
Abstract
1 Introduction
2 Related Work
3 Block Diagram of Proposed System
4 Algorithm for Proposed System
5 Experiments and Results
6 Conclusion
References
Sentiment Analysis for Scraping of Product Reviews from Multiple Web Pages Using Machine Learning Algorithms
Abstract
1 Introduction
2 Methods
2.1 KNN
2.2 SVM
2.3 Random Forest
2.4 CNN
2.5 Hybrid SVM-CNN
3 Result and Discussion
4 Conclusion
References
Interval Chi-Square Score (ICSS): Feature Selection of Interval Valued Data
Abstract
1 Introduction
2 Proposed Model
2.1 ICSS (Interval Chi-Square Score): A Feature Ranking Criterion
2.2 Feature Selection
2.3 Symbolic Classifier
3 Experimentation and Results
3.1 Datasets
3.2 Experimental Setup
3.3 Results
4 Comparative Analysis
5 Conclusion
Acknowledgement
References
Association Rule Hiding Using Firefly Optimization Algorithm
Abstract
1 Introduction
2 Literature Survey
3 Problem Definition
4 Methodology
4.1 Tabu Search Algorithm
4.2 Firefly Optimization Algorithm
5 Result and Discussion
5.1 Datasets
5.2 Performance Measures
5.2.1 Hiding Failure (HF)
5.2.2 Missed Cost
5.2.3 Runtime
5.2.4 Memory
6 Conclusion and Future Works
References
Understanding Learner Engagement in a Virtual Learning Environment
Abstract
1 Introduction
2 Literature Review
3 Research Methodology
3.1 Collecting Data: OU Dataset
3.2 Pre-processing Data
3.3 Predicting Model
3.4 Interpreting the Result
4 Conclusions and Future Work
References
Efficient Personal Identification Intra-modal System by Fusing Left and Right Palms
1 Introduction
2 The Intra-modal Approach Related to a Multi-instance Fusion
2.1 Palmprint Preprocessing
2.2 Feature Extraction
2.3 Left and Right Palms Fusion-Based Multi-instance
2.4 Palmprint Classification
3 Experiments and Results
3.1 Palmprint Databases
3.2 Protocol Setting and Empirical Results
4 Conclusion and Future Directions
References
A Novel Air Gesture Based Wheelchair Control and Home Automation System
Abstract
1 Introduction
2 The Setup
3 Proposed Algorithm
3.1 Obtaining the Image of the Finger from the Camera
3.2 Color Conversion
3.3 Segmentation Using Histogram Based Thresholding
3.4 Noise Removal
3.5 Finding the Point of Contact
4 Results
5 Conclusion
References
A Comparative Study of the 3D Quality Metrics: Application to Masking Database
Abstract
1 Introduction
2 Related Work
2.1 Geometric-Distance-Based Metrics
2.2 Roughness-Based Metrics
2.3 Structural Distortion-Based Metrics
3 Experimental Results and Discussion
4 Conclusion
References
A Single Ended Fuzzy Based Directional Relaying Scheme for Transmission Line Compensated by Fixed Series Capacitor
Abstract
1 Introduction
2 Mid-point Series Compensated Transmission System
3 Proposed Directional Relay Scheme
4 Results and Discussion
4.1 Performance in Case of Voltage Inversion
4.2 Performance in Case of Current Inversion
4.3 Performance in Case of Varying Fault Location
4.4 Influence of Varying Fault Resistance
5 Conclusion
References
Hybrid of Intelligent Minority Oversampling and PSO-Based Intelligent Majority Undersampling for Learning from Imbalanced Datasets
Abstract
1 Introduction
2 Related Work
3 Sampling Concepts Used
3.1 SMOTE [16]
3.2 SSO-PSO [5]
3.3 Intelligent Oversampling Techniques
4 Proposed Oversampling-Undersampling Hybrid Methods
4.1 SMOTE-SSO Hybrid
4.2 Combining Intelligent Variants of SMOTE with SSO-PSO
5 Experimental Results and Discussions
5.1 System Specifications
5.2 Discussion on Results
6 Conclusions
References
Data Mining with Association Rules for Scheduling Open Elective Courses Using Optimization Algorithms
Abstract
1 Introduction
2 Optimization Algorithms
2.1 Optimization by SA
2.2 Optimization by GA
3 Proposed Methodology for Timetable Scheduling
3.1 Step Wise Procedure for Timetable Generation Using GA Starting from Assumptions, Initial Parameters
3.2 Step Wise Procedure for Timetable Generation Using SA Starting from Assumptions, Initial Parameters
4 Discussion on Results
5 Conclusion
References
Compressed Sensing in Imaging and Reconstruction - An Insight Review
1 Introduction
2 Fundamentals and Preliminary Concepts
3 Applications
3.1 Compressive Imaging
3.2 Compressive Media Vision
4 CS Reconstruction Algorithms
5 Observations from the Survey
6 Key Points from the Review
7 Conclusion
References
Gender Identification: A Comparative Study of Deep Learning Architectures
Abstract
1 Introduction
2 State of the Art
3 The Proposed Approach
3.1 Quantifying Words and Sequences
3.2 Dataset
3.3 CNN Model
3.4 LSTM Model
3.5 GRU Model
4 Experimentation
5 Conclusions
References
A Novel Decision Tree Algorithm for Fault Location Assessment in Dual-Circuit Transmission Line Based on DCT-BDT Approach
Abstract
1 Introduction
2 Practical Power Transmission Network Under Study
3 Fault Location Algorithm Based on DCT-BDT Approach
3.1 Design of Input/Target Data Set to Erudite DCT-BDT Modules
3.2 Training of DCT-BDT Modules for Fault Location Estimation
4 Test Results of Proposed Fault Location Algorithm
5 Comparative Assessment of Proposed Fault Location Algorithm
6 Conclusion
Acknowledgments
References
Sizing and Placement of DG and UPQC for Improving the Profitability of Distribution System Using Multi-objective WOA
Abstract
1 Introduction
2 Problem Definition
2.1 Load Model
2.2 Distributed Generation
2.3 UPQC
3 Objective Functions
3.1 Loss Index
3.2 Voltage Index
3.3 Economic Index
4 Proposed Method
5 Numerical Results and Discussion
6 Conclusion
References
Opposition Based Salp Swarm Algorithm for Numerical Optimization
1 Introduction
2 Opposition Based Salp Swarm Algorithm
2.1 Salp Swarm Algorithm
2.2 Opposition Based Learning
2.3 Opposition Based Salp Swarm Algorithm
3 Experiments and Results
4 Conclusion
References
A Novel Swarm Intelligence Based Optimization Method: Harris' Hawk Optimization
1 Introduction
2 Harris' Hawk Cooperative Hunting
3 Mathematical Model for Harris' Hawk Cooperative Hunting Behaviour
3.1 Mathematical Model
3.2 Exploration and Exploitation
4 Results and Discussion
5 Conclusion
References
An Improved Opposition Based Grasshopper Optimisation Algorithm for Numerical Optimization
1 Introduction
2 Literature Study
2.1 Grasshopper Optimisation Algorithm
2.2 Opposition Based Learning
3 Opposition Based Grasshopper Optimisation Algorithm
4 Experiments and Results
4.1 Experimental Set-Up and Implementation
4.2 Qualitative Results
4.3 Quantitative Results
5 Conclusion
References
Classification of Hyper Spectral Remote Sensing Imagery Using Intrinsic Parameter Estimation
Abstract
1 Introduction
2 Proposed Approach
2.1 Image Acquisition
2.2 Band Reduction Using Principal Component Analysis/Factor Analysis
2.3 Intrinsic Parameter Estimation - Edge Preserving and Albedo Estimation
2.4 Support Vector Machine Classifier
3 Data Sets and Experimental Setup
4 Results and Observations
5 Conclusion and Future Work
References
Probabilistic PCA Based Hyper Spectral Image Classification for Remote Sensing Applications
Abstract
1 Introduction
2 Proposed Approach
3 Results and Observations
4 Crop Type Classification and Yield Estimation Using Hyper Spectral Imaginary
5 Conclusion and Future Work
References
Automatic Determination Number of Cluster for Multi Kernel NMKFCM Algorithm on Image Segmentation
Abstract
1 Introduction
2 Clustering Algorithm
2.1 Fuzzy(Soft) Clustering Algorithm (FCM)
2.2 Kernel Method
2.3 Novel Modified Kernel FCM Algorithm (NMKFCM)
2.4 Novel Modified Radial Base Kernel Fuzzy C-Means Algorithm
3 Hill-Climb Algorithm
4 Experimental Result
5 Conclusion
References
Characteristics of Alpha/Numeric Shape Microstrip Patch Antenna for Multiband Applications
Abstract
1 Introduction
2 Fabricated Alphabet Antenna
3 Fabricated Numeric Antenna
4 Conclusion
References
Performance Analysis of Psychological Disorders for a Clinical Decision Support System
1 Introduction
2 Related Works
3 Methodology
3.1 Dataset
3.2 Disorder Identification
3.3 Gradient Processing Module
4 Results and Observations
5 Conclusion
References
Qualitative Collaborative Sensing in Smart Phone Based Wireless Sensor Networks
Abstract
1 Introduction
2 Related Work
3 Qualitative Data Collection
4 Performance Evaluations
5 Conclusion
References
Phylogenetic Tree Construction Using Chemical Reaction Optimization
1 Introduction
2 Basic Concepts of Phylogeny Construction
2.1 Maximum Parsimony Criterion
3 Related Work
4 Proposed Method Using Chemical Reaction Optimization
4.1 Solution Generation
4.2 Reaction Operators
4.3 CRO Algorithm for Phylogenetic Tree Construction(PT_CRO)
5 Experimental Results
6 Conclusions
References
Hybrid Segmentation of Malaria-Infected Cells in Thin Blood Slide Images
Abstract
1 Introduction
2 The Proposed Methodology
2.1 Image Acquisition
2.2 Preprocessing
2.3 Image Segmentation
3 Experimental Results
4 Conclusion and Future Work
References
Application of Artificial Neural Networks and Genetic Algorithm for the Prediction of Forest Fire Danger in Kerala
Abstract
1 Introduction
2 Literature Review
3 Data and Methods
3.1 Data
3.2 Methods
4 Methodology and Results
5 Conclusion
References
A Hybrid Bat Algorithm for Community Detection in Social Networks
Abstract
1 Introduction
2 Discrete Bat Algorithm
3 Tabu Search
4 Proposed Hybrid Approach
5 Experimental Results
6 Conclusion and Future Work
References
Design of Effective Algorithm for EMG Artifact Removal from Multichannel EEG Data Using ICA and Wavelet Method
Abstract
1 Introduction
1.1 Background of EEG Artifact Removal Methods
2 Methodology: SWT-ICA for Artifact Removal
2.1 Independent Component Analysis (ICA)
2.2 Stationary Wavelet Transform (SWT)
3 Proposed Method
4 Results and Discussion
5 Conclusion
References
Soft-Margin SVM Incorporating Feature Selection Using Improved Elitist GA for Arrhythmia Classification
1 Introduction
2 Proposed Model
2.1 Improved Elitist Genetic Algorithm for Feature Selection
2.2 Liner Soft-Margin SVM Classifier for Overlapping Classes
3 Experiments and Results
3.1 Dataset and Preprocessing
3.2 Experimentation
4 Conclusion
References
Distributed Scheduling with Effective Holdoff Algorithm in Wireless Mesh Networks
Abstract
1 Introduction
2 Working of CDS Algorithm
3 Effective Holdoff Algorithm
4 System Model
5 Conclusion
References
Continuous Cartesian Genetic Programming with Particle Swarm Optimization
1 Introduction
2 Cartesian Genetic Programming
3 Related Work
4 Continuous Cartesian Genetic Programming
5 Evaluation
5.1 Experiments Setup
5.2 Results and Discussion
6 Conclusion and Future Work
References
Detecting Sarcasm in Text
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Feature Extraction
3.2 Classification Method
4 Experimental Evaluation
5 Conclusion
References
List-Based Task Scheduling Algorithm for Distributed Computing System Using Artificial Intelligence
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Artificial Neural Network
4 Experiment Results
5 Comparison of Proposed Work with Existing Work
6 Conclusion
References
Location-Allocation Problem: A Methodology with VNS Metaheuristic
Abstract
1 Introduction
2 Statistical Methodology for Partitioning Design
2.1 Experiment Design for the Variable Neighborhood Search VNS Metaheuristic for the P-Median Problem
3 Demand Dense Methodology
4 Results
References
Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy
1 Introduction
1.1 ANN History and Biologically Inspiration
2 Machine Learning and Large Scale Optimization Problems
2.1 Stochastic Gradient Methods and Mini-batch
3 The Idea: Curiosity to Improve Accuracy
4 Numerical Experiment
4.1 The Problem
4.2 Convolutional Neural Network
4.3 The New Idea in Practice
4.4 Results
5 Conclusions
References
Metaheuristic for Optimize the India Speed Post Facility Layout Design and Operational Performance Based Sorting Layout Selection Using DEA Method
Abstract
1 Introduction
2 India Speed Post Service Industry
3 Feasible Facility Layout Selection (FFLS)
3.1 Need for the Study
4 Research Methodology
5 Mathematical Formulation - DEA
5.1 Mathematical Model
6 Genetic Algorithm
6.1 Experimental Settings
7 Results and Discussions
7.1 Comparative Study
8 Conclusion and Summary
References
A Hybrid Evolutionary Algorithm for Evolving a Conscious Machine
Abstract
1 Introduction
1.1 What Is Consciousness?
1.2 Integrated Information Theory
2 A Hybrid Evolutionary Algorithm
2.1 Step-I: Darwin's Evolution
2.2 Step-II: Integrated Information Theory of Machines
3 Computational Results
4 Conclusion
Acknowledgement
References
A Cost Optimal Information Dispersal Framework for Cloud Storage System
Abstract
1 Introduction
2 Related Work
3 System Architecture
4 Cost Optimal Information Dispersal Framework
4.1 Phase 1: Capturing and Processing of Relative Importance of QoS Parameters Using AHP
4.2 Phase 2: Generation of the Plan Chart
4.3 Phase 3: Dispersal and Reconstruction of File
5 Conclusion and Future Scope
References
Multiple Sequence Alignment Using Chemical Reaction Optimization Algorithm
1 Introduction
2 Related Work
3 Design of CRO for MSA Problem
3.1 Population Initialization
3.2 CRO Operators
4 Experimental Results
5 Conclusion
References
Forensic Approach of Human Identification Using Dual Cross Pattern of Hand Radiographs
Abstract
1 Introduction
2 System Overview
3 Dual Cross Pattern Feature Extraction
3.1 Local Sampling
3.2 Pattern Encoding
3.3 Dual Cross Grouping
4 Experimental Result
5 Conclusion
References
Mixed Reality in Action - Exploring Applications for Professional Practice
1 Introduction
2 Hardware Details
2.1 Virtual Reality vs Augmented Reality
3 User Experience of Mixed Reality
3.1 Pursuing an Engaging Experience
4 Applications of Mixed Reality
4.1 Medical Use of Mixed Reality
4.2 Industrial and Engineering Applications
4.3 Alternative Applications
5 Perspectives and New Tendencies
6 Discussion and Summary
References
AMGA: An Adaptive and Modular Genetic Algorithm for the Traveling Salesman Problem
1 Introduction
1.1 Related Work
1.2 Contribution
2 Background
2.1 Selection Operators
2.2 Crossover Operators
2.3 Mutation Operators
3 AMGA: An Adaptive and Modular Genetic Algorithm
4 Experiments
4.1 Results
4.2 Summary
5 Conclusion and Future Work
References
Correction to: Compressed Sensing in Imaging and Reconstruction - An Insight Review
Correction to: Chapter "Compressed Sensing in Imaging and Reconstruction - An Insight Review" in: A. Abraham et al. (Eds.): Intelligent Systems Design and Applications, AISC 941, https://doi.org/10.1007/978-3-030-16660-1_76
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