Intelligent Computing, Information and Control Systems

Name: Intelligent Computing, Information and Control Systems | ICICCS 2019
Brand: Springer
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ICICCS 2019

A. Pasumpon Pandian Klimis Ntalianis Ram Palanisamy(Editor)

Springer (Publisher)

1st Edition

Published on 18. October 2019

XIX, 732 pages

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978-3-030-30465-2 (ISBN)

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From past decades, Computational intelligence embraces a number of nature-inspired computational techniques which mainly encompasses fuzzy sets, genetic algorithms, artificial neural networks and hybrid neuro-fuzzy systems to address the computational complexities such as uncertainties, vagueness and stochastic nature of various computational problems practically. At the same time, Intelligent Control systems are emerging as an innovative methodology which is inspired by various computational intelligence process to promote a control over the systems without the use of any mathematical models. To address the effective use of intelligent control in Computational intelligence systems, International Conference on Intelligent Computing, Information and Control Systems (ICICCS 2019) is initiated to encompass the various research works that helps to develop and advance the next-generation intelligent computing and control systems.
This book integrates the computational intelligence and intelligent control systems to provide a powerful methodology for a wide range of data analytics issues in industries and societal applications. The recent research advances in computational intelligence and control systems are addressed, which provide very promising results in various industry, business and societal studies. This book also presents the new algorithms and methodologies for promoting advances in common intelligent computing and control methodologies including evolutionary computation, artificial life, virtual infrastructures, fuzzy logic, artificial immune systems, neural networks and various neuro-hybrid methodologies. This book will be pragmatic for researchers, academicians and students dealing with mathematically intransigent problems. It is intended for both academicians and researchers in the field of Intelligent Computing, Information and Control Systems, along with the distinctive readers in the fields of computational and artificial intelligence to gain more knowledge on Intelligent computing and control systems and their real-world applications.

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Content

Intro
Foreword
Preface
Acknowledgements
Contents
CNN and Raspberry PI for Fruit Tree Disease Detection
Abstract
1 Introduction
2 CNN Model Compression Method
3 Experimental Results and Analysis
4 Conclusion
References
Stock Market Trend Prediction in Sub-Saharan Africa Using Generalized Additive Models (GAMs)
Abstract
1 Introduction
2 Related Work
3 Methodology
4 Prediction Results and Discussion
5 Conclusion
References
Optimization of Flow Shop Scheduling Through a Hybrid Genetic Algorithm for Manufacturing Companies
Abstract
1 Introduction
2 Theoretical Review
2.1 Definition of the Scheduling Problem
3 Materials and Methods
4 Analysis and Results
5 Conclusions
References
Rational Approximation of Fractional-Order System with Multiple Fractional Powered Terms - A Comparative Study
Abstract
1 Introduction
2 Integer-Order Approximation of FOS
2.1 Charef Approximation Method
2.2 Oustaloup Approximation Method
3 Simulations and Results
4 Conclusions
References
Analysis and Prediction of Stock Market Using Twitter Sentiment and DNN
Abstract
1 Introduction
2 Literature Survey
3 Methodology
3.1 Data Collection and Data Pre-processing
3.2 System Architecture
3.3 Analysis of Sentiment
3.4 Analysis Between Prices of Stock and Twitter Sentiment
4 Results
5 Conclusion
References
Multiband Antenna with Indoor Applications Using Soft Computation Method
Abstract
1 Introduction
2 Related Works
3 Antenna Design
4 Paramater Analysis
5 Result and Discussion
6 Conclusion
References
Integration of Statistical Techniques to Evaluate the Fatigue of Operators on the Productivity of a Company
Abstract
1 Introduction
2 Methodology
3 Results
3.1 Results Shift 1
3.2 Results Shift 2
3.3 Results Shift 3
4 Conclusions
Acknowledgment
References
Modelling and Simulation for Damping of Power System Network Oscillations by Meticulous Tuning of PSS Parameters Employed in DAVR of Practical Alternators
Abstract
1 Introduction
1.1 Rotor Angle Stability
1.2 Voltage Stability
2 Generator Excitation Control System
2.1 Principle Operation of an Excitation System
3 System Control and Protection Function
3.1 Functional Parameter of Practical DAVR
3.2 Role of Power System Stabilizer
3.3 Results of PSS Tuning
4 Modelling and Simulation of DAVR
4.1 Modelling of DAVR and PSS
4.2 Simulation Results Using MATLAB
5 Conclusion
References
Band Limited Realization of Fractional-Order Proportional Integral Controller for a Class of Finite Dimensional System
Abstract
1 Introduction
2 Design Methodology of FOC
3 Simulations and Results
4 Conclusions
References
Improving the Effectiveness of Energy Savings Measures at Companies by Means of a New Baseline Adjustment Strategy
Abstract
1 Introduction
2 Methodology
2.1 Case Study
2.2 Calculation of the Energy Baseline (EnB or {{\bf E}}_{{{{\bf base}} {{\bf line}}}} )
2.3 Calculation of the Energy Consumption Index (CI)
2.4 Calculation of the Cumulative Sum Graph (CUSUM)
3 Results
3.1 Determining the EnB and Selection of Operating Points that Characterize Consumption Dynamics at the Hotel
3.2 Action Plan to Increase Energy Efficiency at the Hotel
3.3 Comparison of the CUSUM Control Graph with and Without Selection of the Operating Control Points that Describe the Hotel's Dynamics
4 Conclusions
References
Object Detection for Autonomous Vehicle Using TensorFlow
Abstract
1 Introduction
2 Related Literature
3 Methodology
4 Conclusion
References
Threat Modeling for Breaking of CAPTCHA System
Abstract
1 Introduction
2 Literature Survey
3 Methodology
3.1 Manual Breaking of Text-Based CAPTCHA Using Machine Learning Algorithm OCR
3.2 Algorithm for Breaking Text Based CAPTCHA
4 Results
4.1 Threat Modeling
4.2 Discussion on Web Application for Using Text-Based CAPTCHA System
4.3 Attack Tree
5 Conclusion
References
Design and Randomness Evaluation of Mixed-Signal TRNG for Low Power Applications
Abstract
1 Introduction
2 Literature Survey
3 Design and Implementation
4 Result and Analysis
5 Conclusion
References
Early Discovery of Disaster Events from Sensor Data Using Fog Computing
Abstract
1 Introduction
2 Related Work
2.1 Machine Learning in Predicting Disasters
2.2 Fog Computing Models
3 Objectives and Goals
4 Proposed Framework
4.1 IoT Layer
4.2 Fog Layer
4.3 Disaster Alert System
4.4 Cloud
5 Implementation
5.1 Data-Set Description
5.2 Methodology
6 Results
7 Conclusion and Future Work
7.1 Future Work
References
Inequality in Writing Competence at Higher Education in Colombia: With Linear Hierarchical Models
Abstract
1 Introduction
2 Theoretical References
3 Method
3.1 Linear Hierarchical Model
4 Results of Linear Hierarchical Model
4.1 Database of Linear Hierarchical Model
4.2 Linear Hierarchical Model
4.3 Estimating the Null Model in Four Levels
4.4 Multilevel Model with Explanatory Variables and Nested Structure
4.5 Results of the Model for Fixed Part
4.6 Results of the Model for Fixed Part
5 Conclusions and Discussion of Results
References
3D Reconstruction of an Indoor Environment Using SLAM with Modified SURF and A-KAZE Feature Extraction Algorithm
Abstract
1 Introduction
2 System Architecture
2.1 Feature Extraction Using SURF
2.2 Feature Extraction Using A-KAZE
2.3 Proposed Method
3 Data Association in VSLAM
3.1 Cooperative SLAM
3.2 Loop Closure Detection
3.3 Kidnapped SLAM
3.4 EKF Prediction and Correction
4 Map Generation
5 Conclusion
References
Optimal Participation of Hybrid Renewable Energy Sources in Standalone Microgrid
Abstract
1 Introduction
2 System Modelling
2.1 PV System Modelling
2.2 Modelling of the Wind Turbine
2.3 Modelling of the Battery
2.4 Modeling of Micro-hydro Power Generation
2.5 Modeling of Load
2.6 Modeling of DG
3 Problem Formulation
3.1 Objective Function
3.2 Constraints
4 Proposed Optimization Solver and Algorithm
5 Simulation Results and Analysis
6 Conclusion
References
Design and Implementation of LNA for Biomedical Applications
Abstract
1 Introduction
2 Conclusion
References
Control Methods for Minimizing Cross Regulation in Single Inductor Multiple Output Converters - A Review
Abstract
1 Single Inductor Multiple Output Converter
1.1 Modes of Operation
2 Cross Regulation
3 Control Methods for Minimization of Cross Regulation
3.1 Time Multiplexing Control
3.2 Freewheeling Control
3.3 Digital Control
3.4 Decoupled Control
3.5 Ripple Based Control
4 Conclusion and Future Scope
References
A Web Application to Optimization of Transport in Military Operations
Abstract
1 Introduction
2 Problem Statement
2.1 Mathematical Formulation
3 Solution Technique and Architecture
3.1 Solution Architecture
3.2 User Interface
3.3 Quality Attributes
4 Simulation Results
5 Conclusions
References
Big Data Marketing During the Period 2012-2019: A Bibliometric Review
Abstract
1 Introduction
2 Materials and Methods
2.1 Database Selection
2.2 Development of the Bibliographic Analysis
2.3 Construction and Analysis of the Final Document
3 Analysis and Results
3.1 Distribution of Papers Per Year
3.2 Production by Authors and Affiliation
3.3 Publications by Area of Research
3.4 Most Influential Publications
4 Conclusions
References
Automatic Selenium Code Generation for Testing
Abstract
1 Introduction
2 Automation Testing
3 Drawbacks of Automation Testing
3.1 Migration from Manual to Automation Testing
3.2 Scripting
4 Proposed Solution
5 Overview of the Architecture
6 Working
6.1 Client and Server Architecture
6.2 Template Engine
7 Case Study
7.1 Variables and Measurements
7.2 Assumptions and Simplifications
7.3 Results
8 Conclusion
References
Optimization of Parametric Model of Cumene Reactor Using Loop Shaping Methodology and Dynamic Modeling of Reactor
Abstract
1 Introduction
2 Process Description
3 Real Value Data Collection and Modeling Techniques
3.1 Experimental Data
3.2 Model Prediction by Principal Component Analysis
4 Loop Shaping Methodology
5 Design Example of the Cumene Reactor
6 Dynamic Simulation
6.1 Temperature Profile in the Reactor
6.2 Effluent Pressure Profile in Reactor
6.3 The Effluent Feed Pressure at PI Controller at the Output of the Reactor
6.4 Comparison: Simulation Result with Plant Data
7 Conclusion
Acknowledgement
References
Fractional Controller Optimization for Liquid Level System Using MATLAB
Abstract
1 Introduction
2 System Description
3 Coupled Tank Modeling
4 Tuning
4.1 Proportional Integral Controller
4.2 Fractional Order Proportional Integral Controller
4.3 Fractional Fuzzy Proportional Integral Controller
5 Simulation and Results
6 Conclusion
References
Conglomerates of Bus Rapid Transit in Latin American Countries
Abstract
1 Introduction
2 Public Transportation System and the BRT in Latin America
3 Results
4 Analysis Results
5 Conclusions
Acknowledgment
References
Regenerative Braking Control of Induction Motor in Electric Vehicles for Optimal Energy Recovery
Abstract
1 Introduction
2 Regeneration in Induction Motor
3 Regeneration with V/F Control Algorithm
3.1 Optimal Frequency Identification
4 Regeneration with FOC
5 EV System Modeling
6 Validation of Regeneration Control in IM
6.1 Discussion on V/F Control Results
6.2 Discussion on FOC Results
7 Conclusion
References
Smart Surveillance System for Detection of Suspicious Behaviour Using Machine Learning
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Architecture
3.2 Preprocessing
3.3 Feature Learning
3.4 Regularity Score
3.5 Abnormality Detection
3.5.1 Determining an Upper Limit
3.5.2 Number of Events
4 Implementation
4.1 Dataset
4.2 Model Parameters
5 Results
5.1 Preprocessing
5.2 Training
5.3 Testing
5.4 Live Feed
6 Future Scope
7 Conclusion
References
Fog Image Classification and Visibility Detection Using CNN
Abstract
1 Introduction
2 Literature Survey
3 Algorithm Used
3.1 Convolutional Neural Network
3.2 Multiple Linear Regression
4 Architecture Diagram
5 Proposed Method
6 Result
7 Conclusion and Future Work
References
A Fuzzy-PSO Based Control of DSTATCOM for Voltage Regulation in Distribution Grids
Abstract
1 Introduction
2 Voltage Regulation with DSTATCOM
3 Fuzzy-PSO
4 Simulation Results
5 Conclusion
References
Efficient Techniques of Transformation from Biogas to Bio-methane for IoT Based Photovoltaic Biogas Hybrid System
Abstract
1 Introduction
2 Water Removal Techniques from Biogas
2.1 Cooling and Compression
2.2 Absorption
2.3 Adsorption
3 Removal of H2S, CO2 and Other Impurities
3.1 Water Scrubbing
3.2 Polyethylene Glycol Absorption
3.3 Pressure Swing Adsorption
3.4 Membrane Separation
3.4.1 High Pressure Gas Separation
3.4.2 Gas Liquid Absorption Membranes
3.5 Cryogenic Separation
4 Conclusion
References
An Algorithm Implementation for Harmonics Reduction in Power Electronic Transformer Based Electric Locomotives
Abstract
1 Introduction
2 Architecture for PET in Rolling Stock
2.1 Conventional Electric Locomotives
2.2 Power Electronic Transformer Based Traction Drive
3 Harmonic Reduction in Locomotive
3.1 Conventional Methods for Reduction of Harmonics
3.2 Dual Phase Analysis
3.3 Normalization Procedure on Harmonic Spectrum
3.4 Challenges for Traction Inverters
4 Result and Discussion
5 Conclusion
References
Evolutionary Algorithm Based Robust Fixed Structure Controller for pH in Sodium Chlorate Process
Abstract
1 Introduction
2 Robust Fixed Structure Controller
2.1 Structure of a Robust PID Controller
3 Evolution Strategy: Covariance Matrix Adapted Evolution Strategy (CMAES)
3.1 CMAES Algorithm
4 Sodium Chlorate Process
5 Simulation Results
6 Conclusion
References
Solution of Fuzzy Differential Equation of Order 2 by Intuitionistic Fuzzy Numbers (IFS)
Abstract
1 Introduction
2 Premilinearies
3 Main Results
4 Numerical Examples
5 Application
6 Conclusion
References
DeepTrackNet: Camera Based End to End Deep Learning Framework for Real Time Detection, Localization and Tracking for Autonomous Vehicles
Abstract
1 Introduction
2 Related Work
3 Detection and Localization Algorithms
3.1 Mobile Net
3.1.1 Single Shot Multi Box Detection (SSD)
3.2 Faster Region Convolutional Neural Network (Faster RCNN)
3.3 Region Based Fully Convolutional Networks (R-FCN)
4 Online Tracking Algorithms
4.1 Boosting Tracker
4.2 Multiple Instance Learning (MIL)
4.3 Kernalised Correlation Filter (KCF)
4.4 Median Flow
4.5 Discriminative Correlation Filter (Dlib)
5 Offline Deep Regression Network Tracking Algorithm
6 Experimental Analysis and Results
7 Conclusion
References
Real-Time Speed Bump Detection Using Image Segmentation for Autonomous Vehicles
Abstract
1 Introduction
2 Literature Review
3 Data and Methods
3.1 Dataset Description
3.2 Preprocessing of Data
3.3 Proposed Method
4 Experimental Results and Discussion
5 Conclusion and Future Work
References
Demand in the Electricity Market: Analysis Using Big Data
Abstract
1 Introduction
2 Theoretical Review
3 Data and Methods
4 Results and Discussions
4.1 Data Processing
4.2 Determination of the Optimal Number of Clusters
4.3 Clustering
5 Conclusions
References
Design and Implementation of a Low Cost Slender Visual Surveillance System
Abstract
1 Introduction
2 Related Work
3 System Configuration
3.1 Structure
3.2 Single Board Computer
3.3 Camera
3.4 Motors and Wheels
3.5 Electronics
4 3D Physical Model
5 Software
6 Experimental Results
7 Conclusion
References
NoSQL Database for Storing Historic Records in Monitoring Systems: Selection Process
Abstract
1 Introduction
2 Theoretical Review
2.1 HBase
2.2 Big Table
2.3 Cassandra
3 Materials and Methods
4 Analysis and Results
4.1 Comparative Advantage (Benchmark)
4.2 Reading
4.3 Reading/Writing
5 Conclusions
References
Water Quality Monitoring for Horticulture and Aquaculture
Abstract
1 Introduction
2 Related Work
3 Proposed Model
3.1 Architecture of Proposed System
3.2 System Flow
3.3 Parameters Monitored
3.4 Proposed Deployment of System
4 Implementation and Results
5 Conclusion and Future Work
References
A Neural Network Based Overvoltage Prediction System for Long Cable Issue
1 Introduction
1.1 Theory of Voltage Reflection
2 Related Work
3 Methodology
4 Implementation
4.1 Artificial Neural Networks
5 Results
6 Conclusion and Future Work
References
IoT Based Real Time Vehicle Vital Parameter Monitoring and Analytics
Abstract
1 Introduction
2 Methodology
2.1 ESP8266 - Node MCU
2.2 16-Channel Analog Multiplexer/Demultiplexer
2.3 Gear Position Detection
2.4 Vehicle Speed Detection
2.5 Fuel Level Detection
2.6 Battery Voltage Monitoring
2.7 Coolant Temperature Monitoring
3 Experiments and Results
4 Conclusions and Future Scope
References
Dropout-Permanence Analysis of University Students Using Data Mining
Abstract
1 Introduction
2 Materials and Methods
3 Analysis and Results
3.1 Algorithm Classifier C4.5 - Decision Tree
3.2 OneR Rules Classifier Algorithm
4 Conclusions
References
A Review on EEG Based Epileptic Seizure Prediction Using Machine Learning Techniques
Abstract
1 Introduction
1.1 Machine Learning for Medical Applications
2 Related Work
2.1 Basic Flow of Seizure Prediction System
2.2 Challenges
3 Conclusion
References
Simulation of a Self-Driving Car and Comparison of Various Training Methods
Abstract
1 Introduction
2 Related Works
3 System Overview
4 Dataset and Features
5 Data Augmentation Methods
5.1 Brightness Augmentation
5.2 Shadow Augmentation
5.3 Using Left and Right Camera Images
5.4 Horizontal and Vertical Image Shifts
5.5 Flipping
5.6 Cropping
6 Experiments and Results
7 Conclusion and Future Work
References
Tri Layer Model for Color Image Ciphering Through DNA Assisted 2D Chaos
Abstract
1 Introduction
2 Preliminary
2.1 2D Tent Map
2.2 2D Henon Map
2.3 2D Modified Piece Wise Linear Chaotic Map
2.4 DNA Encoding
3 Proposed Method
3.1 Generation of P Box
3.2 Generation of S Box
3.3 Generation of DNA Encoded S-Box
3.4 Encryption Scheme
3.5 Decryption Scheme
4 Numerical Simulations and Discussions
4.1 Key Sensitivity Analysis
4.2 Frequency Analysis
4.3 Image Quality Analysis
4.4 Differential Cryptanalysis
4.5 Resistance to Typical Attacks
4.6 Robustness Attack
5 Conclusion
References
A Novel Linear Collaborative Discriminant Regression Classification and L1 Norm Based Algorithm for On-Chip Realization of Uncontrolled Face Recognition
Abstract
1 Introduction
2 Clustering
3 Classification
4 System on Chip Realization
5 Conclusion
Acknowledgement
References
Simulation of Dual Polarization Radar for Rainfall Parameter and Drop Size Distribution Estimation
Abstract
1 Introduction
2 Block Diagram
2.1 Transmitter/Receiver Blocks
2.2 Rain Attenuation Channel Block
2.3 Reflectivity Block
2.4 Differential Reflectivity (Zdr)
2.5 Specific Differential Phase (Kdp)
2.6 Rain Rate
2.7 Drop Size Distribution
3 Rain Attenuation Prediction
3.1 Path Length Correction
4 Rain Rate Estimation Algorithm
5 Results
5.1 Rain Rate Calculation
6 Conclusion
References
Comprehensive Analysis of Different Modulation Techniques on a Multi-level Neutral Point Clamped Inverter in a Solar PV System
Abstract
1 Introduction
2 Modelling of the Solar PV System
2.1 Solar Photovoltaic Array (PV Array)
2.2 Boost Converter
2.3 Three Level Neutral Point Clamped Inverter
3 Modulation Techniques
3.1 Carrier-Based PWM Schemes
3.2 Space Vector Modulation Scheme
4 Comparative Analysis of NPC Converter Under Different Modulation Schemes
5 Conclusion
References
Control Techniques of Packed U-Cell Multilevel Inverter: A Comprehensive Review
Abstract
1 Introduction
2 Topology and Modulation Strategy Implemented in PUC
2.1 Topology
2.2 Modulation Scheme and Operating Concept
3 Modeling of Packed U-Cell Inverter
4 Control Techniques
4.1 Hysteresis Current Control Method
4.2 PI Control
4.3 Proportional Resonant (PR) Control
5 Conclusion
References
Machine Learning Based User Interface Generation
Abstract
1 Introduction
2 Existing System
3 Proposed Solution
4 Overview of the Architecture
5 Vision Model
5.1 Detection of ROIs
5.2 Classification of ROIs
5.3 Handwriting Recognition
6 Markup Generator
7 Conclusions
References
Prediction Equations in Spirometry Using Demographic and Spirometric Values
Abstract
1 Introduction
1.1 Literature Study - Regression to Predict
1.2 Parameters Under Consideration
2 Methods
2.1 Forming the Dataset
2.2 Sampling of Dataset
2.3 Regression Analysis
3 Statistical Analysis
4 Results
4.1 Comparison of Correlation of Dependent Parameters with Spirometric and Demographic Parameters
4.2 Prediction Equations
4.3 Analysis of Pearson Coefficients and Mean Squared Error of Spirometry Parameters
5 Conclusion
Acknowledgement
References
Linguistic Feature-Based Praise or Complaint Classification from Customer Reviews
Abstract
1 Introduction
2 Related Work
3 Proposed Approach
4 Experiments
4.1 Data Preprocessing
4.2 Training and Testing
4.3 Results
5 Conclusions
References
Implementation of European NCAP Standard Autonomous Emergency Braking Scenarios Using Two Leddar M16 Sensors
Abstract
1 Introduction
2 Proposed Method
3 Sensor Details
4 Experimental Setup
5 Results
6 Conclusion and Future Scope
References
Tamper Detection of Medical Images Using Modified Hashing Algorithm
Abstract
1 Introduction
2 Proposed Method
2.1 Transmitter
2.1.1 Separation of RoI and RoNI
2.1.2 Generation of Hash Value for RoI
2.1.3 Embedding of Hash in RoNI
2.2 Receiver
2.2.1 Separation of RoI and RoNI
2.2.2 Generation of Hash Value for RoI
2.2.3 Extraction of Hash from RoNI
3 Result and Discussions
4 Conclusion
References
Evaluation of Students Performance Using Neural Networks
Abstract
1 Introduction
2 Literature Review
3 Proposed Method
4 Experimental Results
5 Conclusion and Future Scope
References
Disruption of Object Recognition Systems
Abstract
1 Introduction
2 Related Work
3 Approach
3.1 System Design
3.2 Threat Model
3.3 White-Box and Black-Box Attacks
3.4 Adversarial Training
4 Results
4.1 White-Box Attacks
4.2 Black-Box Attacks
4.3 Visualizations
5 Conclusion
References
An Efficient Hand Gesture Recognition System Using Deep Learning
Abstract
1 Introduction
2 Existing Work
3 Hand Gesture Recognition System (HGRS)
3.1 Gesture Recognition Using Convolutional Neural Network
3.2 Cursor Operations
4 Performance Analysis
4.1 Prediction of Various Gestures
4.2 Accuracy Evaluation
4.3 Loss Evaluation
5 Conclusion
References
A Blockchain Framework for Proptech: Success Model Through Disintermediation and Self-regulation
Abstract
1 Introduction
2 Literature Review
3 Research Problem
4 Methodology
5 Conclusions
6 Limitations and Future Work
References
Agentless Automation Model for Post Exploitation Penetration Testing
Abstract
1 Introduction
2 Literature Survey
3 Proposed Solution
3.1 Skeleton Code
3.2 Reconnaissance
3.3 Situational Awareness
3.4 Privilege Escalation
3.5 Dumping Credentials
3.6 Lateral Movement
3.7 Persistence
3.8 Exploits
3.9 Exfiltration
4 Results
5 Conclusion
References
The Effect of Global Political Risk on Stock Returns: A Cross-Sectional and a Time-Series Analysis
Abstract
1 Introduction
2 Literature Review
2.1 Asset Pricing
2.2 Political Risk
3 Methodology
3.1 The Global Political Risk Measure
3.2 Stock Market Data
3.3 Cross-Country Model: Exposition of Global Stock Returns to the Global Political Risk Measure
3.4 Time-Series Approach: Exposition of Upgrade and Downgrade Risk Portfolios to the Average Change of Political Risk in Global Markets
4 Results
4.1 Cross-Country Asset Pricing Model
4.2 Effect of Upside and Downside Political Risk in the Time-Series of Global Returns
5 Conclusions
References
MRAS Based Speed Sensorless Vector Controlled PMSM Drive
Abstract
1 Introduction
2 Modeling of PMSM
3 Y-MRAS Based Rotor Speel D Estimation Technique
4 Simulation Results
4.1 Drive Response for Forward and Reverse-Motoring
4.2 Drive Response for Step Type Load Command
4.3 Drive Response for Four-Quadrant Operation
5 Conclusion
Acknowledgment
References
Multiple Model Filtering for Vehicle Trajectory Tracking with Adaptive Noise Covariances
1 Introduction
2 Literature Survey
3 Methodology
4 Results
5 Conclusion
References
Automated Criminal Identification System Using Face Generation
Abstract
1 Introduction
2 Related Work
3 Proposed Solution
4 Overview of Architecture
5 Working
5.1 Face Generation
5.2 Face Recognition
6 Results
7 Conclusion
References
Automated UVM Based Verification of Device Life Cycle Management IP
Abstract
1 Introduction
1.1 Existing Methods of Verification
1.2 Verification and Automation
2 Device Lifecycle Management IP
2.1 Verification of Device Lifecycle Management IP
3 Automation of Testbench
4 Results
5 Conclusion and Future Scope
References
Survey on Soft Computing Methods for Accident Condition and Severity Predictions
Abstract
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Dataset Description
4 Performance Analysis
5 Conclusion and Future Scope
References
FPGA Based Acceleration of Security Algorithm Using Co-design Approach for WSN Applications
Abstract
1 Introduction
2 TEA Security Algorithm
2.1 Algorithm Flow
3 Implementation
3.1 System Design
3.2 System Implementation
3.2.1 TEA Implementation in Hardware using Verilog
3.2.2 Software only Implementation
3.2.3 Custom instruction Co-Design Implementation
4 Results and Discussions
5 Conclusion
References
Blind Forgery Detection in Digital Images: An Analysis
Abstract
1 Introduction
2 Digital Image Forgery Types
3 Classifications of Manipulation Detection Methods in Images
3.1 Active Detection
3.2 Passive/Blind Detection
4 Challenges in Blind Forgery Detection Methods
5 Conclusion
References
MSB Based Iris Recognition Using Multiple Feature Descriptors
Abstract
1 Introduction
2 Related Work
3 Proposed Methodlogy
3.1 CASIA Iris Database
3.2 Iris Extraction
3.3 Binary Split
3.4 Discrete Wavelet Transform
3.5 ICA Filter Extraction
3.6 Binariezed Statistical Image Features (BSIF)
3.7 Euclidean Distance
4 Experimental Results
5 Conclusion
References
Automatic Generation Control for Autonomous Hybrid Power System Using Single and Multi-objective Salp Swarm Algorithm
Abstract
1 Introduction
2 Modelling of the Power System
2.1 Two Degree of Freedom (2DOFPID) PID Controller
3 Problem Formulation
3.1 Single Objective Function
3.2 Multi-Objective (MO) Function
4 Soft Computing Technique
5 Result and Analysis
6 Conclusion
References
Investigation of the Temporal Evolution in Patient Networks Related to Chronic Diseases on Social Media
Abstract
1 Introduction
2 Literature Review
3 Description of the Datasets and Data Preprocessing
4 Measures Used for Structural Analysis of Patient Networks
4.1 Eigenvector Centrality
4.2 Entropy
5 Experimental Results and Discussion
6 Conclusion
References
Automated Lighting Smart Parking Using Internet of Things
Abstract
1 Introduction
2 Relevant Work
3 Proposed Architecture
4 Implementation and Discussion
5 Conclusion and Future Scope
References
An Experimental Study Using Scale Invariant Feature Transform and Key-Point Extraction for Human Ear Recognition System
Abstract
1 Introduction
1.1 Related Work
1.2 Motivation
2 Proposed Work
2.1 Images Used in Experimental Study
2.1.1 Some Raw Data
2.1.2 Some Processed Data
2.2 Human Ear Recognition Experiment
2.2.1 Sift Algorithm
2.2.2 Matching Algorithm
2.2.3 Resource: MATLAB (R2010b)
2.3 Matlab Command for Sift
3 Results and Discussions
3.1 Output and Discussions
3.2 Match Point Between Two Different Ear Images After SIFT
3.3 Match Points Between 3 × 3 Ear Images
4 Conclusion
5 Future Scope
References
Feature Selection and Classification of Big Data Using MapReduce Framework
Abstract
1 Introduction
2 Review Study
3 Methodology
3.1 Preprocessing
3.2 Feature Selection - MapReduce Based FS
3.3 Classification
3.3.1 SVM
3.3.2 NB
3.3.3 HD
4 Experimental Results
5 Conclusion
References
Apprenticeship Learning Based Load Balancing Technique for Cloud Environment
Abstract
1 Introduction
2 Organisation of the Paper
3 Related Work
4 Definitions
5 Proposed Work
6 Result
6.1 Trend Towards RL and AL Over a Few Years
6.2 Learning Rate
6.3 Accuracy
6.4 Response Time
6.5 Error Identification
7 Conclusion
References
Distance Measurement for Self-driving Vehicles Using Data Fusion and Machine Learning
Abstract
1 Introduction
2 Related Works
3 Experiment Setup
4 Data Fusion and Analysis
5 Results
6 Conclusion
References
An Efficient Finger Vein Image Enhancement and Pattern Extraction Using CLAHE and Repeated Line Tracking Algorithm
Abstract
1 Introduction
2 Related Work
3 Proposed Methodology for Finger Vein Feature Extraction
3.1 Pre-processing
3.2 Pattern Extraction
4 Performance Evaluation
4.1 Quality Measures
4.2 Mean Square Error (MSE)
4.3 Peak Signal to Noise Ratio (PSNR)
4.4 Structural Similarity Index Measure (SSIM)
5 Experimental Results
6 Conclusion
Acknowledgement
References
Simulation of Signal Generation and Measuring Circuit and Real Time IoT Based Electrical Bio Impedance Cardiac Monitoring System
Abstract
1 Introduction
2 Methodologies
3 Results and Discussion
4 Conclusion
References
Robotic Hand-Eye System Using Machine Learning
Abstract
1 Introduction
1.1 Types of Robotic Arm
2 Literature Survey
3 System Design
3.1 Microcontrollers
3.2 Motors and Motor Drivers
3.3 Raspberry Pi Camera Module
4 Methodology
5 Result
6 Limitation
7 Conclusion and Future Scope
References
A Robust Q-Learning and Differential Evolution Based Policy Framework for Key Frame Extraction
Abstract
1 Introduction
2 Literature Survey and Related Works
3 Methodology
3.1 Configuration of Operators of DE
4 Experiment and Results
4.1 Results
5 Conclusion
References
Author Index

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Intelligent Computing, Information and Control Systems

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