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 1
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18th International Conference on Intelligent Systems Design and Applications (ISDA 2018) held in Vellore, India, December 6-8, 2018, Volume 1

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

Springer (Publisher)

Published on 11. April 2019

XXII, 1158 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
A Study of Multi-space Search Optimization
1 Introduction
2 Multi-space Search Approach
2.1 Concurrent Model
2.2 Sequential Model
3 Multi-space Search for One Dimensional Bin Packing
4 Multi-space Search for Classification
5 Experimental Setup
5.1 Data Sets
5.2 Parameter Values
5.3 Technical Specifications
6 Results and Discussion
7 Conclusion
References
Clinical Decision Support System for Neuro-Degenerative Disorders: An Optimal Feature Selective Classifier and Identification of Predictor Markers
Abstract
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Dataset Generation
3.2 Feature Selection
3.2.1 Gain Ratio
3.2.2 Correlation Feature Subset Selection (CFS) Attribute Evaluator Method
3.2.3 Decremental Feature Selection
4 Framework for Predicting Neuro-Degenerative Disorder
4.1 Test Data Generation
4.2 Prediction System
5 Results and Discussion
6 Conclusion
Acknowledgements
References
Favoring the k-Means Algorithm with Initialization Methods
Abstract
1 Introduction and Motivations
2 Revisiting the k-Means Algorithm
3 A Brief Introduction to the Five Initialization Algorithms Used
4 Experiments, Results and Analysis
5 Conclusions
Acknowledgments
References
A Novel Design and Implementation of 8-Bit and 16-Bit Hybrid ALU
Abstract
1 Introduction
2 Literature Survey
3 Design Methodology
3.1 Design and Implementation
3.2 Reversible Logic Gates
4 Arithmetic Operations Using Hybrid Design
4.1 Adder
4.1.1 Ripple Carry Adder (RCA)
4.1.2 Carry Select Adder (CSA)
4.1.3 Kogge-Stone Adder (KSA)
4.1.4 Binary to Excess One Converter (BEC)
4.1.5 Modified Carry Select Adder
4.1.6 Reversible Modified CSA
5 Multiplier
6 Results and Analysis
7 Conclusion
References
Authentication Scheme Using Sparse Matrix in Cloud Computing
Abstract
1 Introduction
2 Issues in Cloud Security
3 Problem Formulation and Literature Survey
4 Proposed Model
5 Results
6 Conclusion and Future Scope
References
A Thermal Imaging Based Classification of Affective States Using Multiclass SVM
Abstract
1 Introduction
2 IVITE Database
3 Proposed Methodology
3.1 Acquisition of Thermal Image
3.2 Detection of Face
3.3 ROI Extraction/Rejection
3.4 Feature Extraction
3.5 Classification
4 Experimental Results
5 Conclusions
References
Multidimensional Crime Dataset Analysis
Abstract
1 Introduction
2 Background
3 Preliminaries
4 Illustration
5 Conclusion
References
AKCSS: An Asymmetric Key Cryptography Based on Secret Sharing in Mobile Ad Hoc Network
Abstract
1 Introduction
1.1 Cryptography
1.2 Authentication
1.3 Integrity
1.4 Non-repudiation
1.5 Availability
1.6 Access Control
2 Related Works
3 Asymmetric Key Cryptography Based on Secret Sharing
3.1 Key Generation
3.2 Generate Shares
3.3 Encryption
3.4 Reconstruct
3.5 Decryption
4 Experimental Results and Analysis
5 Conclusion
References
API Call Based Malware Detection Approach Using Recurrent Neural Network-LSTM
1 Introduction
2 Related Work
3 Background
3.1 API Call Sequence
3.2 Natural Language Processing (NLP)
3.3 Recurrent Neural Network
3.4 Long Short Term Memory
4 Proposed Method
4.1 Data Preprocessing
4.2 Feature Extraction
4.3 Feature Selection and Vectorization
4.4 Training the RNN-LSTM
5 Implementation
5.1 Dataset Preparation
5.2 Feature Extraction and Selection
5.3 Realizing the RNN-LSTM Learning Engine
6 Evaluation and Results
7 Future Work
8 Conclusion
References
Review and Analysis of Zero, One and Few Shot Learning Approaches
1 Introduction
2 Challenges to Learn from Few Examples in Deep Learning
2.1 Optimization and Regularization of Large Networks
2.2 Achieving Strong Generalization
2.3 Multi Tasking, Domain Dependence and Transfer Learning
2.4 Theoretical Bounds for Few Shot Learning
3 Need for the Review of Few Shot Learning Approaches
4 Strategies for Few-Shot Learning
5 Taxonomy of Few Shot Learning Approaches
6 Datasets and Common Experimental Setups
7 Future Direction and Conclusion
References
Simulation of Friction Stir Welding of Aluminium Alloy AA5052 - Tailor Welded Blanks
Abstract
1 Introduction
2 Finite Element Modeling
2.1 Governing Equation
2.2 Boundary Conditions
2.3 Element Selection and Meshing
2.4 Properties of Aluminium 5052
2.5 Linear - Radial Basis Function Model
3 Results and Discussion
3.1 Linear - Radial Basis Function Model
3.2 Contact Condition
3.3 Peak Temperature
3.4 Plastic Strain
3.5 Energy Input
4 Conclusion
References
Information Systems Success: Extending the Theoretical Model from IT Business Value Perspective
Abstract
1 Introduction
2 Literature Review
2.1 IT Business Value
2.2 IS Success
3 Extended IS Success Model
3.1 Theoretical Framework
3.2 Related Model
4 Discussion
5 Conclusion
5.1 Theoretical Implication
5.2 Limitation and Future Work
Acknowledgment
References
Towards an Automatic Detection of Sensitive Information in Mongo Database
Abstract
1 Introduction
2 Related Works
3 Automatic Detection of Sensitive Data
3.1 Sensitive Data
3.2 Detecting Sensitive Data
4 Experiments
5 Conclusion
References
Business Growth Using Open Source e-Commerce and ERP in Small Business
Abstract
1 Introduction
2 Earlier Studies
3 The Study
4 Discussion and Conclusions
References
Directional Multiscale Feature Extraction for Biomedical Image Indexing and Retrieval Using Contourlet Transform
Abstract
1 Introduction
2 Contourlet Transform
2.1 Multiscale Decomposition
2.2 Directional Decomposition
2.3 Multiscale and Directional Decomposition
3 Proposed Method
4 Experimental Results and Discussions
4.1 Experiment 1
4.2 Experiment 2
4.3 Performance Versus Feature Vector Length
5 Conclusion
References
Link Quality and QoE Aware Predictive Vertical Handoff Mechanism for Video Streaming in Urban VANET
Abstract
1 Introduction
2 Related Work
3 Link Quality and QoE Aware Predictive Vertical Handoff Mechanism for Video Streaming in VANET
3.1 Handoff Metrics
3.2 Handoff Weight Function
3.3 Predictive Handoff Decision and Cross-Layer QoE Triggering
4 Performance Evaluation
4.1 MOS and SSIM
4.2 PSNR
4.3 Frame Loss and End-to-End Delays
5 Conclusion
References
Performance Comparison of PID and ANFIS Controller for Stabilization of x and x-y Inverted Pendulums
Abstract
1 Introduction
2 Dynamic Modeling of x and x-y Inverted Pendulums
2.1 Dynamic Model of x Inverted Pendulum
2.2 Dynamic Model of x-y Inverted Pendulum
3 Design of Robust LQR Based ANFIS Controller
3.1 Generation of Dataset
3.2 Defining ANFIS Parameters
3.3 ANFIS Training
4 Results and Discussions
4.1 x Inverted Pendulum
4.2 x-y Inverted Pendulum
5 Conclusion
Acknowledgement
References
Modeling Hybrid Indicators for Stock Index Prediction
Abstract
1 Introduction
2 Background and Related Work
3 Conceptual Framework
4 Data and Methodology
4.1 Data-Sets and Sampling
5 Results and Discussions
5.1 Statistical Methods
5.2 Time-Series Prediction
5.3 Artificial Neural Networks
6 Conclusions
7 Limitations and Future Work
Acknowledgments
Appendix
References
XOR Encryption Techniques of Video Steganography: A Comparative Analysis
Abstract
1 Introduction
2 Literature Review
3 Proposed Work
3.1 XOR of Secret Message with Secret Key
3.2 XOR of LSB with Secret Message
4 Results and Observations
5 Conclusion
References
Intention to Use M-Banking: The Role of E-WOM
Abstract
1 Introduction
2 Literature Review
2.1 Background
2.2 E-WOM
2.3 IT Adoption
2.4 Research Model
3 Research Method
3.1 Research Process
3.2 Data Description
4 Research Result
4.1 Exploratory and Confirmatory Factor Analyses
4.2 Structural Equation Modeling
4.3 Bootstrap Analysis
4.4 Result Discussion
5 Conclusion
Acknowledgment
References
Activity Gesture Recognition on Kinect Sensor Using Convolutional Neural Networks and FastDTW for the MSRC-12 Dataset
Abstract
1 Introduction
2 Related Work
3 Theoretical Background
3.1 Convolutional Neural Networks (CNNs)
3.1.1 Convolutional Layer
3.1.2 Pooling Layer
3.1.3 Fully Connected Layer
3.2 The Fast Dynamic Time Warping Algorithm (FastDTW)
4 The MSRC-12 Dataset
5 Proposed Method
5.1 Data Preprocessing
5.2 Proposed Convolutional Model
5.3 Software Architecture
6 Experimental Results
6.1 Combined Training
6.2 Individual Training
6.3 Training Analysis
7 Conclusion
References
Plug in Electric Vehicle-Wind Integrated Multi-area Automatic Generation Control Tuned by Intelligent Water Drops Algorithm
Abstract
1 Introduction
2 Proposed System Study
2.1 Hydro and Thermal
2.2 Wind System
2.3 PEV System
3 Selection of Controller and Objective Function
4 Intelligent Water Drops (IWD) Optimization Technique
5 Result and Analysis
6 Conclusion
Appendix
References
Design of Time-Frequency Localized Filter Bank Using Modified Particle Swarm Optimization
1 Introduction
2 Proposed Modified Particle Swarm Optimization
3 Problem Formulation
3.1 VM Constraint
3.2 PR Constraint
3.3 Formulation of Objective Function for Proposed MPSO Scheme
4 Design Methodology
5 Design Examples and Results
5.1 Design Examples
5.2 Comparison with Related Filter Banks
6 Conclusion
References
Development of Low-Cost Real-Time Driver Drowsiness Detection System Using Eye Centre Tracking and Dynamic Thresholding
1 Introduction
1.1 Previous Work
2 Working
2.1 Eye Centre Tracking
2.2 Monitoring the State of the Eye
2.3 Drowsiness Determination
3 Features and Conclusions
References
A Hybrid Entropy Based Method Using Gaussian Kernel for Retinal Blood Vessel Segmentation
Abstract
1 Introduction
2 Retinal Blood Vessel Segmentation Methods - A Review
3 A Hybrid Entropy Based Method Using Gaussian Kernel for Retinal Blood Vessel Segmentation
3.1 Pre-processing
3.2 Matched Filtering
3.3 Post-processing
4 Results and Discussions
5 Conclusion
Acknowledgments
References
Precision Crop Protection Using Wireless Sensor Network
Abstract
1 Introduction
2 Literature Survey
3 Proposed System
3.1 Topology Construction
3.2 Finding Articulation Point (AP)
4 Cluster Head Changing
5 Simulation Parameters and Results
5.1 Energy Consumption of Node
5.2 Clustering Efficiency
5.3 Draining Speed
5.4 Evaluation of Alive Node Count
5.5 Network Life (with respect to time)
5.6 Throughput Evaluation
6 Conclusion and Future Work
References
RETRACTED CHAPTER: Deep Learning Based Approach for Classification and Detection of Papaya Leaf Diseases
1 Introduction
1.1 Leaf Curl of Papaya
2 Related Work
3 Proposed Methods
3.1 Image Preprocessing
3.2 Deep Learning Based Classification
4 Results
5 Conclusions
References
Three-Materials Image Recover from Value Range Projection Data
1 Introduction
2 The Direct Transform
3 Inverse Value Range Transform
4 Farey-Haros Series and Stern-Brocot Tree
5 Experiments
6 Conclusion
References
Multiple Criteria Fake Reviews Detection Using Belief Function Theory
1 Introduction
2 Belief Function Theory
2.1 Basic Concepts
2.2 Discounting Operation
2.3 Combination Rules
2.4 Vacuous Extension
2.5 Decision Making
3 Multi-Criteria Belief Fake Reviews Detection (MC-BFRD)
3.1 General Case
3.2 Missing Values' Case
4 MC-BFRD Experimentation
4.1 MC-BFRD Evaluation
4.2 MC-BFRD Behavior Validation
5 Conclusion
References
Improved Logistic Regression Approach in Feature Selection for EHR
Abstract
1 Introduction
2 Literature Review
3 EHR Dataset
4 System Architecture
4.1 Feature Selection Methodology
4.2 Sparse Logistic Regression
4.3 Deep Neural Network (DNN)
5 Conclusion and Future Scope
References
Background Modeling Using Deep-Variational Autoencoder
1 Introduction
2 Related Work
3 Approach
3.1 Background Modeling Using Deep-VAE
4 Experiments and Results
5 Conclusion
References
RETRACTED CHAPTER: Sewage Sludge Removal Method Through Arm-Axis by Machine Robot
Abstract
1 Introduction
2 Convoluted Methodologies
2.1 Pipeline Inspection
2.2 Robotic Arm
2.3 Gas Monitoring
2.4 Sewage Detection and Removal
3 Conclusion
References
K-Nearest Neighbors Under Possibility Framework with Optimizing Parameters
1 Introduction
2 Literature Review
2.1 Possibility Theory
2.2 Traditional KNN Under Possibility Framework
2.3 Immune Genetic Algorithm IGA
3 KNN-PF with Optimizing Parameters
3.1 Initialization Part
3.2 Model Fitting Part
3.3 Evaluation Part
3.4 The KNN-PO Algorithm
4 Experimentation and Results
5 Conclusion
References
A Visual Spelling System Using SSVEP Based Hybrid Brain Computer Interface with Video-Oculography
Abstract
1 Introduction
2 Materials and Methods
2.1 Experimental Setup
2.2 Visual Stimulus Design
2.3 Webcam Based VOG Integration
2.4 SSVEP Frequency Recognition
2.5 Subjects and Data Acquisition
2.6 Experimental Procedure
3 Results and Discussions
3.1 Offline Analysis
3.2 Online Analysis
4 Conclusion
References
QBEECH: Multi-hop Clustering of Cognitive Based Sensor Nodes in the Administration of Queen Nodes
1 Introduction
2 Related Work
2.1 LEACH Protocol
2.2 Energy LEACH
2.3 C-LEACH
2.4 MULTI-LEACH
3 Energy Utilization Modelling
4 Network Model and Algorithm Description
4.1 Network Model
4.2 Formation of Quadrant
4.3 Formation of Node MAC Table
4.4 Formation of Cluster Head
4.5 Transmision Through Queen Nodes
5 Results and Analysis
6 Conclusion and Future Work
References
Perceive Core Logical Blocks of a C Program Automatically for Source Code Transformations
Abstract
1 Introduction
2 Proposed Approach
2.1 Existing Process of Software Analysis
2.2 Proposed Process of Software Analysis with Transformation
2.3 Source Code Entity Identification
2.4 Variable Dependency Identification
3 Experimentation and Complexity Analysis
3.1 Cyclomatic Complexity
3.2 Time Complexity
3.2.1 Identifying Entities
3.2.2 Identifying Dependency
4 Conclusion
References
Asymmetric Key Cryptosystem and Digital Signature Algorithm Built on Discrete Logarithm Problem (DLP)
Abstract
1 Introduction
2 Background
3 Proposed Scheme
3.1 Problem Formulation: Discrete Logarithm Problem
3.2 The Public Key System
3.2.1 Numerical Analysis
3.3 Digital Signature Scheme
3.3.1 Numerical Analysis
4 Conclusion
References
A Study on Big Cancer Data
1 Introduction
1.1 Motivation
1.2 Organization
2 Big Data
2.1 Query Processing Tools
3 Cancer Data
3.1 Cancer Data Collection and Storage
3.2 Cancer Data Transfer
4 Data Privacy
5 Data Analytics
5.1 Machine Learning
5.2 Feature Selection
5.3 Cancer Data Visualization
6 Precision Medicine
7 Conclusion
References
Food Monitoring Using Adaptive Naïve Bayes Prediction in IoT
Abstract
1 Introduction
2 Related Work
3 System Architecture
4 Proposed Work
5 Result Analysis
6 Discussion
7 Conclusion
References
Mixed Credit Scoring Model of Logistic Regression and Evidence Weight in the Background of Big Data
Abstract
1 Introduction
2 Research Methods
2.1 Modeling Data and Feature Variables
2.2 Data Processing and Variable Selection
2.3 Data Analysis
2.4 Model Analysis
3 Empirical Research Results
4 Conclusion
References
A Model for Identifying Historical Landmarks of Bangladesh from Image Content Using a Depth-Wise Convolutional Neural Network
Abstract
1 Introduction
2 Background Study
3 MobileNet Architecture
4 Related Work
5 Methodology
5.1 Data Collection
5.2 Data Preprocessing
5.3 Model Installation
5.4 Train Model
6 Result Exploration
7 Conclusion and Future Work
M2U2: Multifactor Mobile Based Unique User Authentication Mechanism
Abstract
1 Introduction
2 Authentication Mechanisms
2.1 SMS OTP Authentication
2.2 Biometric Authentication
2.3 Contextual Authentication
3 M2U2: Proposed Mechanism
3.1 Sign Up
3.2 Sign In
3.3 Sign In - Forgot Password
3.4 Sign In - No Access to Phone
4 Proposed Application
4.1 Registration
4.2 Database
4.3 Login
4.4 Forgot Password
4.5 No Access to Phone
5 Analysis
6 Conclusion
References
Generation of Image Caption Using CNN-LSTM Based Approach
1 Introduction
2 Related Works
3 Proposed Approach
3.1 Feature Extraction
3.2 Semantic Tag Identification
3.3 Language Model
3.4 LSTM Decoder
4 Experiments and Evaluation
4.1 Dataset
4.2 Training Procedure
5 Results and Discussion
6 Conclusion
References
ADABA: An Algorithm to Improve the Parallel Search in Competitive Agents
1 Introduction
2 Theoretical Foundations
2.1 Alpha-Beta Search Algorithm
2.2 APHID
3 Related Works
4 Implementation of ADABA
4.1 Master Module
4.2 Slave Module
4.3 Handling Processed Tasks
5 ADABA-Draughts
6 Experimental Results
6.1 MLP Training Time
6.2 Evaluating the Average Decision-Making Time
6.3 Victory Rates
7 Conclusion and Future Works
References
A Novel Approach to Solve Class Imbalance Problem Using Noise Filter Method
1 Introduction
2 Related Work
3 Noise Filtering and Sampling Technique: A Proposed Framework
4 Experiments and Results
4.1 Experimental Setting
4.2 Evaluation Metrics
4.3 Dataset Used
4.4 Results
5 Conclusion
References
Mobility Aware Routing Protocol Based on DIO Message for Low Power and Lossy Networks
1 Introduction
2 Motivation for RPL
3 Related Work
4 MARPL for LLN Under Mobility
4.1 Selection of Preferred Parent Node
4.2 Preferred Parent Update
4.3 Main Advantages
5 Simulation Results and Discussion
5.1 Analysis of Packet Delivery Ratio
5.2 Analysis of Power Consumption
5.3 Analysis of End-to-End Latency
6 Conclusion
References
Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator
Abstract
1 Introduction
2 Methodology
2.1 The Conventional Layers
2.2 The Pooling Layers
2.3 The Fully-Connected Layers
3 The Types of CNN Architecture
4 Results and Discussions
5 Conclusions
References
Real-Time PCG Diagnosis Using FPGA
Abstract
1 Introduction
2 Literature Survey
3 Heartbeat Sound Signals
4 Heartbeat Sound Analysis
5 The Adopted Approach
6 Results
7 Conclusion
References
Cluster Center Initialization and Outlier Detection Based on Distance and Density for the K-Means Algorithm
1 Introduction
2 Related Work
3 KMIDDO Algorithm
3.1 Cluster Center Initialization
3.2 Outliers Detection
4 Experiments
4.1 Datasets
4.2 Parameter Setting
4.3 Performance Comparison
5 Conclusion
References
A Novel Method for Retrieval of Remote Sensing Image Using Wavelet Transform and HOG
Abstract
1 Introduction
2 Methodologies
2.1 Feature Extraction Techniques
2.2 Indexing Techniques
3 Experimental Results
4 Conclusion and Future Work
References
Classification of Red Blood Cells in Sickle Cell Anemia Using Deep Convolutional Neural Network
Abstract
1 Introduction
2 Methodology
2.1 Dataset
2.2 Data Augmentation of Training Patches
2.3 Fundamentals of Convolutional Neural Networks (CNNs)
2.4 The Proposed Approach Architecture
3 Experimental Results
4 Conclusion
References
Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood
Abstract
1 Introduction
2 Methodology
2.1 The Proposed Approach
2.2 Circle Hough Transform (CHT)
3 Experimental Results
3.1 Results of the Proposed Approach
3.2 Circle Hough Transform
4 Conclusion
References
An Improved Classifier Based on Entropy and Deep Learning for Bug Priority Prediction
Abstract
1 Introduction
2 Description of Datasets and Methods
2.1 Datasets
2.2 Bug Attributes
2.2.1 Bug Severity
2.2.2 Bug Priority
2.2.3 Summary Weight
2.2.4 Entropy
2.3 Methods
3 Results and Discussion
4 Related Work
5 Threats to Validity
6 Conclusion
References
Turbo Coded STBC MIMO OFDM with DWT Based I/Q Balancing System
Abstract
1 Introduction
1.1 DWT Based MIMO OFDM
2 Literature Survey
3 MIMO Systems
4 System Analysis
5 Results
6 Conclusion
References
A UML/MARTE Based Design Pattern for a Wireless Sensor Node
1 Introduction
2 Related Work
3 Proposed Sensor Node Design Pattern
3.1 MARTE Capabilities for Designing a Sensor Node
3.2 Sensor Node Design Pattern Description
4 Case Studies
4.1 Water Pipeline Monitoring Application
4.2 Remote Patient Monitoring System
4.3 Discussion
5 Conclusion
References
ECC Based Encryption Algorithm for Lightweight Cryptography
Abstract
1 Introduction
2 Working of Elliptic Curve
2.1 Addition of Two Points in Curve
2.2 Point Doubling
2.3 Zero Point
3 Key Generation in ECC
3.1 Elliptical Curve Point Generation
3.2 Computation of Secret Key
4 Proposed Encryption and Decryption Algorithm in ECC
4.1 Encryption Algorithm
4.2 Decryption Algorithm
4.3 Flow of Proposed System
5 Mathematical Evaluation
6 Comparative Study
6.1 Comparative Analysis of ECC with RSA and AES Algorithm
6.2 Comparative Analysis of Lightweight Asymmetric Algorithm for Authentication
6.3 Comparative Study on the Basis Complexity of Mathematical Evaluation
7 Conclusion
References
Reduced Complexity Affine Projection Algorithm Based on Variable Projection Order and Multiple Sub Filter Approach
Abstract
1 Introduction
2 Affine Projection Algorithm
3 Proposed Algorithm
3.1 Variable Step Size Approach
3.2 Proposed Variable Projection Order
4 Simulation Results and Discussion
4.1 Computational Time and Complexity Analysis
5 Conclusions
References
RETRACTED CHAPTER: A Prototype Model of Hand Assistive System Useful for Hearing Impaired
Abstract
1 Introduction
2 Literature Survey
3 Proposed System
4 Results and Discussions
5 Conclusion
References
Towards Micro-expression Recognition Through Pyramid of Uniform Temporal Local Binary Pattern Features
1 Introduction
2 Proposed Approach
3 Feature Detection Using PTLBPu2
4 Sub-regions Selection
5 Experimental Results
5.1 Micro-expression Recognition Based on PTLBPu2
5.2 A Facial Macro-expression Model to Recognize Micro-expressions
6 Conclusion
References
Misbehavior Detection in C-ITS Using Deep Learning Approach
1 Introduction
2 Related Work
3 Problem Definition
3.1 Architecture and Entities
3.2 Misbehavior in C-ITS
4 Proposed Mechanism
4.1 Multi-Layer Perceptron Model
4.2 Long Short-Term Memory Model
5 Experiment
5.1 Road Network
5.2 Traffic Detection Units
5.3 Data Generation, Training and Testing
6 Results
6.1 Time to Training and Testing
6.2 Prediction Performance
7 Conclusion
References
Authorship Identification with Multi Sequence Word Selection Method
1 Introduction
2 Literature Survey
3 Variable Length Word N-Gram Approach
3.1 Methodology
3.2 Generating Multiword Gram
3.3 Bag of Words Representation
4 Experiment and Results
4.1 Effect of Feature Set Size
5 Conclusion
References
A Single Program Multiple Data Algorithm for Feature Selection
1 Introduction
2 Related Work
3 Methodology
3.1 The mRMR Approach
3.2 Relevant Parallel Computing Considerations
3.3 Data Parallel mRMR
4 Results
4.1 Scalability on Number of Samples
4.2 Scalability on the Number of Features
5 Conclusions and Future Work
References
Prosodic Feature Selection of Personality Traits for Job Interview Performance
1 Introduction
2 Background Research on Non-verbal Behaviour
3 Dataset Description
4 Experiment
4.1 Prosody Feature Extraction
4.2 Mutual Information
4.3 Random Forest
5 Analysis
6 Results and Conclusion
References
Hybrid Association Rule Miner Using Probabilistic Context-Free Grammar and Ant Colony Optimization for Rainfall Prediction
Abstract
1 Introduction
2 Background Work
3 Overview of ARM, PCFG and ACO
3.1 Association Rule Mining (ARM)
3.2 Probabilistic Context-Free Grammar (PCFG)
3.2.1 Basic Definitions
3.2.2 Applicability of PCFG in Data Mining
3.3 Ant Colony Optimization (ACO)
4 The PARM-Ant Rainfall Prediction Model Development
4.1 Data Preprocessing
4.2 ARM Using PCFG
4.3 Optimization Using ACO Algorithm
4.4 Categorization of Results
4.5 Validation of Results
5 Results and Discussion
5.1 The Rainfall Dataset
5.2 Results Obtained
5.2.1 Evaluating the Rainfall Prediction Probability
6 Conclusion and Scope for Future Research
Acknowledgement
Appendix
References
Design of an Intelligent Cooperative Road Hazard Detection Persistent System
Abstract
1 Introduction
2 Related Works
2.1 Obstacle Detection
2.2 Dangerous Zone Alert
2.3 Discussion
3 Cooperative Road Hazard Detection System
3.1 Architecture of CopRoadHazDPS
3.2 Data Model
3.3 Working Principles of CopRoadHazDPS
4 Simulation and Results
5 Conclusion
References
Clustering Time-Series Data Generated by Smart Devices for Human Activity Recognition
1 Introduction
2 Methodology
2.1 K-Means Clustering Algorithm
2.2 Hierarchical Agglomerative Clustering Algorithm
2.3 Fuzzy C-Means Algorithm
3 Experimental Setup
3.1 HAR Dataset
3.2 Evaluation Criteria
4 Results and Discussion
4.1 Synthetic Dataset
4.2 Results on Real Dataset
4.3 Determining the Number of Activities
5 Conclusion
References
A Priority-Based Ranking Approach for Maximizing the Earned Benefit in an Incentivized Social Network
1 Introduction
2 Background and Problem Definition
3 Proposed Methodology
4 Experimental Evaluation
4.1 Datasets
4.2 Parameter Settings
4.3 Baseline Methods
4.4 Experimental Results and Discussions
5 Conclusions and Future Direction
References
Analysis of Basic-SegNet Architecture with Variations in Training Options
Abstract
1 Introduction
2 Literature Review
3 Methodology
4 Results
5 Conclusion
References
CRIST900: A Fully-Labeled Natural Image Dataset for Multi-Operator Content Aware Image Retargeting
Abstract
1 Introduction
2 Review of Literature
3 Multi-Operator Content Aware Image Retargeting
3.1 Image Objects Boundary Identification Using Enhanced High Pass Frequency Filtering Algorithm and Morphological Erosion Structuring Element
3.2 Location Based Visual Saliency Map Generation
3.3 The Proposed Image Retargeting Multi-Operator Content Retargeting Image ReSizing Technique (CRIST)
3.3.1 Content Aware Visual Saliency Based Scaling
3.3.2 Content Aware Image Retargeting Seam Carving
4 Experimental Results
4.1 Multi-operator: Content Retargeting Image Resizing Technique (CRIST) Results
4.2 The Statistics of the Proposed Method User Study Result
5 Conclusions and Future Work
Acknowledgements
References
A Data Mining Approach to Predict Academic Performance of Students Using Ensemble Techniques
Abstract
1 Introduction
2 Literature Review
3 Methodology
4 Data Collection and Data Preprocessing
5 Experiment and Result
5.1 Environment
5.2 Evaluation Measures
5.3 Evaluation Results
5.3.1 Evaluation Results Using Traditional Classifier
5.3.2 Evaluation Results Using Ensemble Methods
6 Conclusion and Future Work
References
A Late Acceptance Hill-Climbing Heuristic Algorithm for the Double Vehicle Routing Problem with Multiple Stacks and Heterogeneous Demand
1 Introduction
2 Heuristic Approach
2.1 Solution Representation
2.2 Evaluation Procedures
2.3 Neighborhood Structure
2.4 Late Acceptance Hill-Climbing Framework
3 Computational Experiments
4 Conclusions
References
Evaluation of Advanced Analysis Method for Human Relationship Using Fuzzy Theory
1 Introduction
2 Analysis Method for Human Relationships
2.1 Sociometry Analysis
2.2 Observation Method and Interview Method for Human Relationships
2.3 Problems of Existing Analysis Methods
3 Fuzzy Model for Human Relationships
3.1 Fuzzy Graph Model
3.2 Response Table and Response Matrix
3.3 Evaluation Matrix
3.4 Fuzzy Matrix and Fuzzy Graph
3.5 Cluster Analysis for Fuzzy Graph
4 Advanced Analysis Method for Group Relationships in Human Relationships
4.1 Analysis Index of Human Relationships Applying the Fuzzy Graph
4.2 Analysis Method for Group Relationships
4.3 Relationship Analysis for Groups Belonging to Different Similarity Levels
5 Case Study
5.1 Question Survey
5.2 Results of Analysis
5.3 Consideration
6 Concluding Remarks
References
Analysis of Overhead View Images at Intersection Using Machine Learning
Abstract
1 Introduction
2 Image Recognition
2.1 Image Recognition Method
2.2 Image Recognition in Traffic
3 Creation and Improvement of Image Recognition System
3.1 Observation of Intersections
3.2 Data for Supervised Learning
3.3 Construction of Cascade Analyzer
3.4 Improvement of Classifier
4 Recognition Verification System
4.1 Construction of Display System
5 Results
5.1 Automatic Measurement Result by Experiment System
6 Conclusion
References
A New Design Prospective for User Specific Intelligent Control of Devices in a Smart Environment
Abstract
1 Introduction
2 Motivation and Objective
3 Related Works
4 Proposed Mechanism for Tracking User Behavior
4.1 Proposed Data Structure
4.2 Procedures Applied in the Data Structure
5 Running Time Behavior of Proposed Mechanism
6 Evaluation of the Proposed Mechanism
7 Conclusion
Acknowledgement
References
Crime Information Improvement for Situation Awareness Based on Data Mining
1 Introduction
2 Related Work
3 Situation Awareness Requirements
4 The Mining of Information for Level 2 of SAW
4.1 The Experiment Design
4.2 Pre-processing Analysis
4.3 Transformation Techniques Analysis
4.4 Data Mining Techniques Analysis
5 Conclusions
References
A Novel Approach Towards Enhancing the Performance of Trust Based RPL Protocol in Internet of Things
Abstract
1 Introduction
2 Existing Work
3 Originality
4 Conclusion
References
Fractional Order Extended Kalman Filter for Attitude Estimation
Abstract
1 Introduction
2 Theoretical Background
2.1 Fractional Calculus
2.2 Attitude Estimation Using Inertial Sensors
3 Problem Formulation and Methodology
4 Result and Discussion
5 Conclusion and Future Scope
References
Implementation of Robust Solid State Drive Controller Using LZ77 Compression and SHA-1 Encryption Technique
Abstract
1 Introduction
2 LEMPEL ZIV (LZ77) and SHA-1
3 SSD Proposed Method
4 Implementation Results
5 Conclusion
References
A Convolution Neural Network Based Classification Approach for Recognizing Traditional Foods of Bangladesh from Food Images
Abstract
1 Introduction
2 Background Study
3 Literature Review
4 Methodology
4.1 Dataset
4.2 Data Pre-processing
4.3 Model Installation
4.4 Train Model
5 Result Analysis
6 Conclusion and Future Work
References
An Efficient Outlier Detection Mechanism for RFID-Sensor Integrated MANET
Abstract
1 Introduction
2 Literature Survey
3 Proposed Approach
3.1 Data Formulation
3.2 Proposed Threshold and Filtering Based Outlier Detection System
3.3 Network Construction
3.4 Trust Based Outlier Detection
3.5 Indices Based Outlier Detection
3.6 Performance Based Outlier Detection
3.7 Feature Filtered Based Outlier Detection
4 Results and Analysis
4.1 Simulation Setup
4.2 Indices Analysis
4.3 Internal Indices Analysis
4.4 External Indices Analysis
5 Conclusion
Acknowledgement
References
Design of Low Power SAR ADC with Two Different DAC Structure and Two Different SAR Logic Designs and Their Comparisons
Abstract
1 Introduction
2 Proposed Work
3 Operation of SAR ADC
4 Histogram Test
5 Simulation Result
6 Conclusion
References
Efficient Decision Support System on Agrometeorological Data
Abstract
1 Introduction
2 Literature Survey
3 Methodology
4 System Architecture
5 Implementation
6 Results
7 Conclusion
References
Distributed Mining of Significant Frequent Colossal Closed Itemsets from Long Biological Dataset
1 Introduction
2 Preliminaries
3 The Proposed Work
4 Results and Discussion
5 Conclusion and Future Work
References
Intelligent System for Weather Prediction
Abstract
1 Introduction
2 Related Work
2.1 A Survey on Forecasting of Time Series Data [14]
2.2 Time Series Modeling and Forecasting: Tropical Cyclone Prediction Using ARIMA Model [15]
2.3 LSTM Fully Convolutional Networks for Time Series Classification [16]
2.4 Artificial Neural Networks in Weather Forecasting [17]
3 Input to the System
4 Implementation of the System
4.1 Recurrent Neural Network (RNN)
4.2 ARIMA
5 Result Analysis
6 Conclusion
References
A GPU-Based jDE Algorithm Applied to Continuous Unconstrained Optimization
1 Introduction
2 GPU Computing with CUDA
3 The Differential Evolution and the jDE Algorithm
4 GPU-Based Implementation of jDE
5 Experiments, Results and Analysis
6 Conclusions and Future Works
References
OP3DBFT: A Power and Performance Optimal 3D BFT NoC Architecture
1 Introduction
1.1 Contributions of This Work
2 Related Work
3 Power and Performance Optimal 2-layer 3D BFT Topology
3.1 3D BFT Topology
3.2 Random and Round Robin Output Based Deflection Routing in BFT Topology
3.3 Link Delay Estimation
4 Experimental Setup
5 Results and Discussion
5.1 Average Network Latency
5.2 Performance Analysis
5.3 Power Performance Trade-Off
6 Conclusion
References
Comparative Analysis of Elliptic Curve Cryptography Based Lightweight Authentication Protocols for RFID-Sensor Integrated MANETs
Abstract
1 Introduction
2 Literature Survey
3 Proposed ECC Based Authentication Protocols
4 Results and Analysis
5 Conclusion
References
An FPGA Based Hardware Accelerator for Classification of Handwritten Digits
1 Introduction
2 Literature Review
2.1 Developments in Hardware Accelerator Design
2.2 LeNet-5
3 Challenges and Proposed Design
3.1 Quantization
3.2 Architecture
4 Results
4.1 Simulation and Synthesis
4.2 Discussion of Results
5 Conclusion
References
Selection of Optimal Game Engine by Using AHP Approach for Virtual Reality Fire Safety Training
Abstract
1 Introduction
2 Literature Review
3 Research Methodology
3.1 Criteria for Comparing GEs
3.2 Engine Selection
3.3 Evaluation Index System
3.4 The AHP Method
4 Results
5 Discussion of Results
6 Conclusions and Future Work
References
Feature Selection Using Fast Ensemble Learning for Network Intrusion Detection
1 Introduction
2 Literature Survey
3 Methodology
3.1 Feature Selection Techniques
3.2 System Architecture
4 Experimental Setup
5 Results and Analysis
5.1 Individual Technique Feature Selection
5.2 Feature Grouping and Dataset Reduction
5.3 Classification and Cross Validation
6 Conclusion and Future Work
References
An Embedded System for Watershed Based Hard Exudate Extraction
Abstract
1 Introduction
2 Literature Survey
3 Algorithm
4 Hardware Implementation on FPGA
4.1 Average Filter
4.2 Contrast Adjustment
4.3 Thresholding
4.4 Morphological Closing
4.5 Complement of Contrast Adjusted Image
5 Results
6 Conclusion
References
Detection of Exudates from Fundus Images
Abstract
1 Introduction
2 Related Work
3 Proposed Algorithm
3.1 Input RGB Image
3.2 Green Channel Extraction
3.3 Average Filtering
3.4 Contrast Adjustment
3.5 Segmentation
3.6 Morphological Closing
3.7 Area Calculation of Exudates
3.8 Obtaining Centre of Optic Disc Blob
3.9 Mask Production
3.10 Elimination of OD
4 Results
5 Conclusion
References
Intuitionistic Fuzzy Soft Aggregation Operator Based on Einstein Norms and Its Applications in Decision-Making
1 Introduction
2 Preliminaries
2.1 Basic Concepts
2.2 Operational Laws for IFSS
3 Aggregation Operators
3.1 IFSWEA Opertor
3.2 IFSWEG Opertor
4 Decision-Making Problem
4.1 Proposed Approach
4.2 Illustrative Example
4.3 Comparative Studies and Discussion
5 Conclusion
References
Parametric Similarity Measures on Linguistic Single-Valued Neutrosophic Sets with Application to Decision-Making Problems
1 Introduction
2 Basic Concepts
2.1 Neutrosophic Set
2.2 Linguistic SVN Set
3 Similarity Measures for LSVNSs
3.1 Parametric Similarity Measure
3.2 Weighted Parametric Similarity Measure
4 Approach Based on Proposed Similarity Measure
4.1 Description of Proposed Approach
4.2 Numerical Example
5 Comparative and Sensitivity Analysis
5.1 Comparison with Existing Approaches
5.2 Effect of Parameter on MCDM
5.3 Discussion
6 Conclusion
References
An SOA Design Patterns Recommendation System Based on Ontology
Abstract
1 Introduction
2 Related Work
3 The Proposed SOA Pattern Recommendation Approach
3.1 Creation of an Ontology Knowledge Base of the SOA Design Patterns
3.2 Ontology Population
3.3 Recommendation of the Corresponding Solution
4 Application and Evaluation
4.1 Application Example
4.2 SOART Evaluation
5 Conclusion
References
Framework for Intelligent Software Defined Networking for Wired and Wireless Networks
1 Introduction
1.1 Contemporary SDN Controller
1.2 Artificial Intelligence in SDN
1.3 OpenDaylight
2 Intelligent SDN Setup With OpenDaylight, Mininet and Weka Simulator
2.1 Network Traffic Classification Using WeKa
3 Architecture for Intelligent SDN Controller
3.1 Openflow-Weka Glue Application
4 Conclusion
References
Devanagari Character Classification Using Capsule Network
1 Introduction
2 Related Works
2.1 Histogram of Oriented Gradient (HOG)
2.2 Support Vector Machine (SVM)
2.3 Feed Forward Artificial Neural Network (FFANN)
2.4 Deep Convolutional Neural Network (DCNN)
3 Motivation for Choosing the Model
4 Dataset
5 Proposed Model
5.1 System Architecture
6 Experimental Setup
7 Results
8 Conclusion
References
Lightweight Cipher Using GRP Bit Permutation and Tweak
Abstract
1 Introduction
2 Lightweight Cryptography
3 Related Work
4 Proposed Solution
5 Results
6 Conclusion
References
A State-of-Art Review on Automatic Video Annotation Techniques
Abstract
1 Introduction
2 Generative Model-Based Techniques
3 Distance-Based Similarity Model-Based Techniques
4 Discriminative Model-Based Techniques
5 Ontology-Based Techniques
6 Deep-Learning Model-Based Techniques
7 Discussion and Conclusions
References
A Robust Speech Encryption System Based on DNA Addition and Chaotic Maps
Abstract
1 Introduction
2 Chaotic Mapping
2.1 Logistic Mapping
2.2 Sine Mapping
2.3 Tent Mapping
2.4 Henon Mapping
3 DNA Encoding and Decoding
3.1 Addition Operation for DNA Sequence
4 The Proposed Speech Encryption Algorithm
4.1 Permutation Phase
4.2 First Level Substitution Phase
4.3 DNA Level Substitution Phase
5 Simulation Results and Discussion
5.1 Correlation Test
5.2 Signal to Noise Ratio Test
5.3 PSNR Test
5.4 Security Key Space Analysis
5.5 Histogram Analysis
6 Conclusion
References
Efficient Energy Attentive and Fault Recognition Mechanism in Distributed Wireless Sensor Networks: A Review
Abstract
1 Introduction
1.1 Taxonomy of Routing Protocols Classification in WSNs
2 Evaluation Parameters
3 Background
4 Comparison of Existing Energy Management Routing Protocol
5 Open Challenges and Issue in WSNs
6 Observation
7 Conclusion
References
Digital Color Documents Authentication Using QR Code Based on Digital Watermarking
Abstract
1 Introduction
2 Related Works
3 Proposed Scheme
3.1 Create a Digital Identity Signature of the Color Document (Color Map)
3.2 Storing Signature in QR Code
3.3 Performance Evaluation Document Verification
4 Performance Evaluation
5 Experimental Results
5.1 Multi-QR Codes Extraction Result
5.2 Final-QR Codes and Evaluation Metrics Result
5.3 Tamper Detection Result
6 Conclusion
References
Comparative Study of Regression Models and Deep Learning Models for Insurance Cost Prediction
Abstract
1 Introduction
2 Dataset
2.1 Dataset Description
2.2 Data Pre-processing
3 Related Works
3.1 Regression
3.2 Regression Models
3.3 Deep Learning
3.4 Deep Neural Networks
4 Implementation
5 Results
6 Conclusion
7 Future Scope
References
Extending Borda Rule Under q-rung Orthopair Fuzzy Set for Multi-attribute Group Decision-Making
Abstract
1 Introduction
2 Preliminaries
3 Proposed Methodology
3.1 Proposed q-rung Orthopair Fuzzy Preference Relation (q-ROFPR)
3.2 Proposed Sq-ROFWG Aggregation Operator
3.3 Extending the Borda Count to q-ROFS Context
4 Cloud Vendor Selection Example
5 Comparative Analysis: Proposed vs. Other(s)
6 Conclusion
Acknowledgment
References
A Novel Approach for Operational Performance Based Mail Sorting Facility Layout Selection Using Grey Relational Analysis: A Case on India Speed Post Service Industry
Abstract
1 Introduction
2 India Speed Post Service Industry (Source of Data)
2.1 Motivation of the Study
3 Research Methodology
3.1 Mathematical Formulation of the Problem with GRA
4 Problem Statement and Methodology
4.1 Grey Relational Generating (GRG) Calculation
4.2 Grey Relational Coefficient (GRC) Calculation
4.3 Grey Relational Grade (GRD) Calculation
5 Results and Discussions
6 Conclusion and Summary
6.1 Managerial Implications
6.2 Limitations and Future Research Recommendations
References
Recognition of Handwritten Meitei Mayek and English Alphabets Using Combination of Spatial Features
1 Introduction
2 Related Work
3 Proposed Methodology for Meitei Mayek and English Alphabets Recognition
3.1 Image Acquisition
3.2 Preprocessing
3.3 Feature Extraction
3.4 Recognition and Experimental Results
4 Conclusions and Future Work
References
A Self-adaptive Differential Evolution with Local Search Applied to Multimodal Optimization
1 Introduction
2 Background
2.1 The Differential Evolution and the jDE Algorithm
2.2 Multimodal Optimization
2.3 Hooke-Jeeves Direct Search
3 Two Variations of the NCDE Algorithm
4 Experiments, Results and Analysis
5 Conclusions and Future Work
References
Retraction Note to: Intelligent Systems Design and Applications
Retraction Note to: A. Abraham et al. (Eds.): Intelligent Systems Design and Applications, AISC 940, https://doi.org/10.1007/978-3-030-16657-1
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