Applications of Artificial Intelligence in Engineering: Proceedings of First Global Conference on Artificial Intelligence and Applications (GCAIA 2020)

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This book presents best selected papers presented at the First Global Conference on Artificial Intelligence and Applications (GCAIA 2020), organized by the University of Engineering & Management, Jaipur, India, during 8–10 September 2020. The proceeding will be targeting the current research works in the domain of intelligent systems and artificial intelligence.

Author(s): Xiao-Zhi Gao, Rajesh Kumar, Sumit Srivastava, Bhanu Pratap Soni
Series: Algorithms for Intelligent Systems
Publisher: Springer
Year: 2021

Language: English
Pages: 941
City: Singapore

Preface
Contents
About the Editors
1 Application of Supervised Learning for Voltage Stability Assessment
1 Introduction
2 Two-Bus Equivalent Pi Network
3 Global Voltage Stability Analysis of Multi-Bus Power System
4 Computational Procedure
4.1 RBF Neural Network Architecture
5 Simulation Result
5.1 For IEEE 14 Test Bus System
5.2 Case Study of IEEE 30 Test Bus System
6 Conclusion
References
2 Breast DCE-MRI Segmentation for Lesion Detection Using Clustering with Fireworks Algorithm
1 Introduction
1.1 Background
1.2 Related Works
1.3 Objectives
1.4 Organization of This Paper
2 Materials and Methods
2.1 DCE-MRI Dataset
2.2 Proposed Method
2.3 Preprocessing
2.4 Segmentation Using Clustering with FWA
2.5 Objective Function
2.6 Postprocessing
3 Experimental Setup
3.1 Parameters Settings
3.2 Termination Criteria
3.3 PC Configuration
4 Results and Discussion
5 Conclusion
References
3 Swarm Programming Using Moth-Flame Optimization and Whale Optimization Algorithms
1 Introduction
2 Materials and Methods
3 Experimental Setup
3.1 Benchmark Problems
3.2 Parameters Settings
3.3 PC Configuration
4 Results and Discussion
5 Conclusion
References
4 Nonlinear Regression Analysis Using Multi-verse Optimizer
1 Introduction
1.1 Organization of This Paper
2 Materials and Methods
2.1 Regression Analysis
2.2 MVO Algorithm
2.3 Regression Analysis Using MVO
3 Experimental Setup
3.1 Regression Model and Dataset Description
3.2 Parameters Setting
3.3 PC Configuration
4 Results and Discussion
5 Conclusion
References
5 An Extended ACO Based Routing Algorithm for Cognitive Radio Network
1 Introduction
1.1 Ant Colony System
1.2 State Transaction Phases with ACS:
2 Network Model
3 Routing Metrics
4 Routing Algorithm
5 Proposed Algorithm
6 Conclusion
References
6 A Review: Image Classification and Object Detection with Deep Learning
1 Introduction
2 Various Successful Models in Computer Vision
2.1 Deep CNN
2.2 Maxout Network
2.3 Network in Network
2.4 OverFeat
2.5 R-CNN
2.6 Deeper ConvNets
2.7 Deep ConvNets with Hashing
2.8 Inception
2.9 Residual Learning in Deep Networks
2.10 Inception-V4, Inception-ResNet
2.11 Deep Learning in Medical Field
2.12 Deconvolutional Network
2.13 Architecture of Deconvnet
3 Analysis
4 Conclusion
References
7 Kidney Lesion Segmentation in MRI Using Clustering with Salp Swarm Algorithm
1 Introduction
2 Materials and Methods
2.1 DCE-MRI Dataset
2.2 Proposed Method
2.3 Preprocessing
2.4 Segmentation Using Clustering with SSA
2.5 Objective Function
2.6 Postprocessing
3 Experimental Setup
3.1 Parameters Settings
3.2 PC Configuration
4 Results and Discussion
5 Conclusion
References
8 Smart Approach to Optical Character Recognition and Ubiquitous Speech Synthesis Using Real-Time Deep Learning Algorithms
1 Introduction
2 Literature Review
3 Proposed Model
3.1 Implementation of Deep Learning Model for Text Recognition
3.2 Speech Synthesis with WaveNet API
3.3 Architectural Design
3.4 Flow of the System
4 Implementation and Testing
5 Experimental Results
5.1 Results
5.2 Accuracy and Loss of Proposed Model
6 Conclusion and Future Scopes
References
9 Sine Cosine Algorithm with Centroid Opposition-Based Computation
1 Introduction
2 Sine Cosine Algorithm
3 Centroid Opposition-Based SCA
3.1 Concept of OBL
3.2 Concept of COBC
3.3 Proposed COBSCA
4 Experimental Setup
4.1 Benchmark Functions
4.2 Parameter Settings
4.3 Termination Criteria
4.4 PC Configuration
5 Conclusion and Future Works
References
10 Data Mining Techniques for Fraud Detection—Credit Card Frauds
1 Introduction
1.1 Literature Survey
2 Methodology
2.1 Logistic Regression
3 Statistical and Experimental Results
4 Conclusion
References
11 Performance Evaluation of β Chaotic Map Enabled Grey Wolf Optimizer on Protein Structure Prediction
1 Introduction
2 Protein Structure Prediction: An Optimization Approach
3 Grey Wolf Optimizer and Its Variants
3.1 Encircling the Prey
3.2 Hunting the Prey
3.3 Attacking Prey
3.4 Development Steps of β-GWO
3.5 Participating Variants of GWO
4 Simulation Results and Analysis
5 Conclusion
References
12 Transmission Expansion Planning Using Teaching and Learning Based Optimization Approach
1 Introduction
2 TEP Solution Methods
2.1 Mathematical Solution Techniques
2.2 Meta-Heuristic Solution Technique
3 Mathematical Representation of TEP Problem
4 Teaching Learning Based Optimization Algorithm (TLBO)
4.1 Teaching Phase
4.2 Learning Phase
5 Simulation Results and Analysis
5.1 Graver's 6-Bus System
5.2 Brazilian 46-Bus System
6 Conclusion
References
13 Harmonic Estimator Design Using Teaching Learning Based Optimization
1 Introduction
2 Problem Formulation of Harmonic Estimation in Power System
3 Overview of TLBO Algorithm
3.1 Teaching Phase
3.2 Learning Phase
4 Case Studies for Harmonic Estimator Design
4.1 Case 1 Design Problem
4.2 Case 2 Design Problem
5 Conclusion
References
14 Real-Time Frame-to-Frame Jitter Removing Video Stabilization Technique
1 Introduction
2 Litrature Survey
3 Proposed Methodology
4 Experimental Setup and Results
5 Conclusion
References
15 A Review of Nature-Inspired Routing Algorithms for Flying Ad Hoc Networks
1 Introduction
2 Literature Review
3 Nature Inspired Algorithms for FANET
4 Discussion
4.1 Applications of NIA
5 Conclusion
References
16 Performance Analysis of Different Machine Learning Classifiers in Detection of Parkinson’s Disease from Hand-Drawn Images Using Histogram of Oriented Gradients
1 Introduction
2 Database Description
3 Proposed Methodology
3.1 Histogram of Oriented Gradients Features
3.2 Various Machine Learning Classifiers
4 Experimental Work and Result Analysis
4.1 Performance Analysis Using Dataset 1
4.2 Performance Analysis Using Dataset 2
5 Conclusion
References
17 Coal Mine Monitoring Smart Rover Using LabVIEW and Wireless Sensor Network
1 Introduction
2 System Description
2.1 Rover Structure
2.2 Sensor Unit
2.3 Microcontroller Unit
2.4 Bluetooth Module
3 Working Principle
4 Experimental Analysis
4.1 Monitoring of Data Using LabVIEW
4.2 Android Platform
5 Hardware Implementation
6 Conclusion
References
18 A Survey on Spatiotemporal Co-occurrence Pattern Mining Techniques
1 Introduction
2 Spatiotemporal Data
2.1 Event Data
2.2 Trajectory
2.3 Point Reference Data
2.4 Raster Data
2.5 Evolving Data
2.6 Data Type Conversion
3 Spatiotemporal Co-occurrence Pattern Mining (STCOP Mining)
3.1 Divide and Conquer
3.2 Coupling
4 Unordered STCOP
4.1 Divide and Conquer
4.2 Coupling
5 Ordered STCOP
6 Partially Ordered STCOP
7 Conclusion
References
19 The Classification and Comparative Study of Real-Time Task Scheduling Algorithms Based on Various Parameters
1 Introduction
2 Literature Survey
3 Scheduling Algorithms
3.1 Classification of Scheduling Algorithms Based on Various Parameters
3.2 Real-Time Scheduling Approaches
4 Conclusion
References
20 Behavioral Analysis Using Gamification and Data Visualization
1 Introduction
2 Literature Survey
3 Methodology
3.1 Hangman
3.2 Tic-Tac-Toe
3.3 Logical Reasoning Quiz
4 Data Set Visualization
4.1 Hangman
4.2 Tic-Tac-Toe
4.3 Logical Reasoning Quiz
5 Experimental Results
5.1 Hangman
5.2 Tic-Tac-Toe
5.3 Logical Reasoning Quiz
6 Conclusion
References
21 Smart Agricultural Monitoring and Decision Support System
1 Introduction
2 Literature Survey
3 Proposed Model Statement
4 Proposed Model Architecture
5 System Description
5.1 Circuit Diagram of the Proposed Model
5.2 Working Principle of the Proposed Model
6 Brief Study on the Parameters Used
7 Experimental Results, Findings, and Its Discussion
8 Conclusion and Future Work
References
22 Characterizing Shoulder Implants in X-Ray Images
1 Introduction
1.1 Contributions
1.2 Results
1.3 Outline
2 X-Ray Images of Shoulder Implants
3 Detecting, Orienting, and Isolating Implants
4 Feature Extraction
5 Classification by Manufacturer
6 Related Work
7 Conclusion
References
23 Human-Understandable Classifiers for COPD from Biosensor Data
1 Introduction
2 Dielectric Biosensor Data
3 Classification
4 Rule-Based Classifiers
5 Evolutionary Fuzzy Classification
6 Related Work
7 Conclusion
References
24 Dimensionality Prediction for Word Embeddings
1 Introduction
1.1 Contributions
2 Related Work
2.1 Neural Network Language Model
2.2 Skip-Gram Model with Negative Sampling (SGNS)
2.3 Continuous Bag-of-Words Model (CBOW)
2.4 GloVe
3 Proposed Method
3.1 Pre-processing
3.2 Feature Engineering
3.3 Optimal Dimensionality Prediction
3.4 Generating and Evaluating Word Embedding
4 Experimental Setup
4.1 Dataset Description
4.2 Optimal Dimensionality Prediction
4.3 Performance Evaluation
5 Conclusion
References
25 Classification of ECG Arrhythmia Using Different Machine Learning Approach
1 Introduction
2 Related Work
2.1 Classification of Machine Learning Algorithms
2.2 Performance Matrix
2.3 Accuracy
2.4 Train and Test Set
2.5 Block Diagram of ECG Classification Using Machine Learning
3 Results and Conclusion
References
26 Role of Cloud Computing to Support Big Data and Big Data Analytics for Education Par Excellence
1 Introduction
2 Related Work
3 Cloud-Based Architecture to Support Big Data and Big Data Analytics in Higher Education Establishments
4 Cloud Architecture for Higher Education Institutions
5 Conclusion
References
27 Comprehensive Survey for Energy-Efficient Routing Protocols on WSNs Based IoT Applications Enhancing Fog Computing Paradigm
1 Introduction
1.1 Energy Efficiency in IoT
1.2 Fog Computing
2 Literature Survey
3 Performance Evaluation Metrics
4 Conclusion and Future Work
References
28 A Review on Applications of Machine Learning in Health Care
1 Introduction
2 Types of Machine Learning
2.1 Supervised Learning
2.2 Unsupervised Learning
2.3 Semi-supervised Learning
2.4 Reinforcement Learning
3 Different Types of Algorithms Used in ML
3.1 Decision Tree
3.2 Support Vector Machine (SVM)
3.3 Artificial Neural Network (ANN)
3.4 Naïve Bayes Classifier
3.5 K-Means
3.6 K-Nearest Neighbour
4 Importance of Machine Learning in Health Care
4.1 Detection of Alzheimer’s Disease (AD)
4.2 For Sleep Analysis
4.3 Diagnosis of Cancer
4.4 In the Field of Medical Imaging
5 Research Challenges
6 Conclusion
References
29 Face Mask Detection Using VGG-16 Net for Low Computation Power Devices
1 Introduction
2 Literature Survey
3 Methodology
3.1 Transfer Learning
3.2 Model Description
3.3 Model Architecture
3.4 Novelty of the Model
4 Experiment Results
4.1 Data Description
4.2 Data Preprocessing
4.3 Experimental Setup
4.4 Practical Workflow
4.5 Results
5 Conclusion
References
30 Mining Morphological Similarities for Translation Lexicon Augmentation
1 Introduction
2 Related Work
2.1 Template-Based Approaches
3 Approach
3.1 Learning Bilingual Subwords
3.2 Word-Word Translation Suggestion—A Concatenative Approach
3.3 Generating Phrase Translations
4 Experimental Setup
5 Results and Evaulation
5.1 Bilingual Subword Units
5.2 Generated Word-Word Translations
5.3 Phrase Translation Generation
6 Conclusion and Future Work
References
31 Spade to Spoon: An IoT-Based End to End Solution for Farmer Using Machine Learning in Precision Agriculture
1 Introduction
2 Literature Survey
3 LoRa Testbed
4 Methodology
4.1 Simulation Platforms
5 Result and Discussion
6 Conclusion
References
32 Bacteria Foraging Optimization-Based Geographical Routing Scheme in IoT
1 Introduction
2 Related Works
3 Problem Statement and Objectives
4 Proposed System
5 Implementation Scenario
6 Performance Analysis
7 Conclusion
References
33 Face Expression-Based Result Prediction in Talent Shows Using Deep Learning
1 Introduction
2 Methodology
3 Results and Analysis
4 Conclusion
References
34 Performance-Based Adaptive Learning Rate Scheduler Algorithm
1 Introduction
2 Methodology
3 Experimental Results
4 Conclusion
References
35 Urdu QA: Question Answering System for Urdu Language
1 Introduction
2 Question Answering Systems
3 Related Work
4 UrduQA
4.1 Overview
5 Processing in the IR System
6 Question Processing in UrduQA
6.1 Question Expansion
6.2 Question Type
7 Answer Processing in UrduQA
8 Conclusion
References
36 Review of Classifiers Used for Identification and Classification of Plant Leaf Diseases
1 Introduction
2 Survey on Plant Disease Detection
2.1 Image Acquisition
2.2 Image Preprocessing
2.3 Image Segmentation
2.4 Feature Extraction
3 Survey on Plant Disease Classifications
3.1 SVM Classifier
3.2 K-Means Classifier
3.3 KNN Classifier
3.4 ANN Classifier
3.5 Fuzzy Classifier
3.6 Recurrent Neural Network
4 Reference Gap
5 Conclusion
References
37 Artificial Intelligence-Based Job Applicant Profile Quality Assessment and Relevance Ranking Using Clusters in Talent Acquisition Process
1 Introduction
2 Data Analysis
3 Candidate Profile Quality Measure and Selection
4 Experimental Results
5 Conclusion
References
38 A Survey on the ZigBee Protocol, It’s Security in Internet of Things (IoT) and Comparison of ZigBee with Bluetooth and Wi-Fi
1 Introduction
2 Related Work
3 Protocol
3.1 ZigBee Introduction
3.2 ZigBee Application Areas
3.3 ZigBee Protocol Stack [10]
3.4 ZigBee Network
4 Security: Weakness and Methods to Secure the Protocol
4.1 Weakness in ZigBee
4.2 Methods Suggested Strengthening the Protocol
5 Comparisons Between Bluetooth, ZigBee and Wi-Fi
6 Conclusion
References
39 Application of Machine Learning in App-Based Cab Booking System: A Survey on Indian Scenario
1 Introduction
2 Growth of the App–Cab Industries in India
3 Study of Existing Problems of App–Cab System and Their Possible Solutions
4 Mostly Used Algorithms in App–Cab Based System
4.1 Adaptive Scheduling Approach [6]
4.2 Distributive Approach [4]
4.3 PDPTW Approach [9]
5 Role of AI-ML
6 Challenges Faced by App–Cab System
7 Conclusion
References
40 Churn Prediction in Telecom Industry Using Machine Learning Algorithms with K-Best and Principal Component Analysis
1 Introduction
2 Literature Review
3 Proposed Method
4 Experimental Results
5 Conclusion
References
41 A Hybrid Forecasting Model Based on Equilibrium Optimizer and Artificial Neural Network for Assessment of PM10 Concentration
1 Introduction
1.1 Literature Review
2 Metrological Description of Study Area
3 Equilibrium Optimizer
4 Construction of the Forecasting Engine
5 Simulation Results
6 Conclusion
References
42 An Intelligent Path Estimation Technique for Transportation of Heterogeneous Droplets in Digital Micro Fluidic Biochips (DMFB)
1 Introduction
1.1 Cross Contamination Issues
2 Related Work
3 Motivation and Objectives
4 Proposed Technique
4.1 Route Zone Based Path Exploration Technique
5 Illustrative Example
6 Experimental Results
7 Conclusion
References
43 MLP-WOA Neural Network-Based Automated Grading of Fruits and Vegetable Quality Detection for Food Industry Using Artificial Intelligence Techniques (Computer Vision—Image Recognition)
1 Introduction
2 The Motivation of the Research
3 Problem Identification
4 Objectives of the Research Work
5 Research Methods and Tools
6 Challenges in Object Recognition and Classification
6.1 Applications of DIP
7 Food Image Recognition
7.1 Pre-processing
7.2 Segmentation
7.3 Feature Extraction
7.4 Classification
8 Overview
8.1 Taxonomy of Defects in Various Foods
8.2 Food Defect Detection and Classification
9 Performance Analysis
10 Result and Discussion
11 Conclusion
References
44 A Comparison of Sentiment Analysis Techniques on Movie Reviews
1 Introduction
2 Literature Survey
3 Methodology
4 Experimental Results
5 Conclusion
References
45 A Comprehensive Review of the Available Microgrid Protection Schemes and Their Challenges
1 Introduction
2 Existing Schemes for Microgrid Protection
2.1 Adaptive Protection: Available Schemes and Their Challenges
2.2 Differential Protection: Available Schemes and Their Challenges
2.3 Distance Protection: Available Schemes and Their Challenges
2.4 Voltage-Based Protection: Available Schemes and Their Challenges
2.5 Protection Schemes with the Organization of External Devices and their Challenges
2.6 Protection Schemes Based on Overcurrent Symmetrical Components and Their Challenges
2.7 Cyber-Protection in Microgrid
2.8 Other Schemes Related to the Protection of Microgrids
3 Technical Challenges in Microgrid Protection
4 Comparative Analysis
5 Suggestion
6 Conclusion
References
46 Personalized Recommender Systems: An Empirical Analysis
1 Introduction
2 Evaluation Metrics
3 Datasets
4 Related Work
5 Algorithms
5.1 Movie Recommendation
5.2 Restaurant Recommendation
6 Conclusion
7 Future Work
References
47 Feature Selection on Linked Data: A Review
1 Introduction
2 Feature Selection
2.1 Generic Feature Selection Method
2.2 Feature Selection for Linked Data
2.3 Challenges for Linked Data
3 Conclusion
References
48 NAARI: An Intelligent Android App for Women Safety
1 Introduction
1.1 Problem Definition
1.2 Project Overview
2 Literature Survey
2.1 Existing System
3 Proposed System
3.1 Feasibility Study
4 Methodologies
4.1 Design and Test Steps
4.2 Algorithm and Code
4.3 Sequence Diagram
4.4 Testing Process
5 Result and Analysis
6 Conclusion
References
49 Performance Benchmarking of GPU and TPU on Google Colaboratory for Convolutional Neural Network
1 Introduction
2 Related Work
3 Methodology
3.1 Choosing Dataset
3.2 Building CNN Model
3.3 Training CNN Model
4 Result and Discussion
5 Conclusion
6 Future Research
References
50 A Study on Steam Cleaning Devices and Its Impact on Health and Hygiene
1 Introduction
2 Literature Review
2.1 Steam Cleaning Apparatus
2.2 Steam Mop
2.3 Surface Cleaning Apparatus
2.4 Upright Steam Mop Sweeper
2.5 Steam Appliance with Motion Switch
2.6 Steam Cleaner with Multiple Protections
2.7 The Artificial Intelligence Robot Cleaner
2.8 Robot Cleaning System
2.9 Robot Cleaning System.
2.10 Mobile Robot for Cleaning
2.11 Robot Cleaner with an Adjustable Brush
2.12 The Gutter Cleaning Robot
3 Results and Discussions
4 Research Gap
Reference
51 Video Description Based YouTube Comment Classification
1 Introduction
2 Related Work
3 Approach
3.1 YouTube URL and Description
3.2 Bag of Words Model for Description Based Comment Classification
4 Results and Discussion
4.1 Data Set
4.2 Experimental Setup
5 Conclusion and Future Work
References
52 Internet of Things: Current Research, Challenges, Trends and Applications
1 Introduction
2 Background and Current Research
3 Enabling Tools and Technologies
3.1 IoT Objects
3.2 Communication Technologies and Networks
3.3 Software and APIs
3.4 Data Storage and Data Processing Mechanisms
3.5 Supportive Technologies
4 Application Areas of IoT
5 Issues and Challenges in IoT
5.1 Technical Challenges
5.2 Security and Privacy
5.3 Interoperability and Standards
6 Open Research Issues
7 Conclusion
References
53 The Possibilities of Artificial Intelligence in the Hotel Industry
1 Introduction
2 Impacts and Role of AI in Hotel Industry
3 The Technology for Straight Smart Hotels
4 Hotels Leveraging Artificial Intelligence
5 Advantages and Disadvantages of AI
6 Conclusion
References
54 Automated Vehicle Emergency Support Using Edge Computing Concept
1 Introduction
2 Related Work
3 Proposed Work
3.1 Proposed System
3.2 Analytical Study of Load Handling
3.3 Analytical Study of Fuel Consumption
4 Experimental Result
5 Conclusion and Future Scope
References
55 Majority Voting Machine Learning Approach for Fault Diagnosis of Mechanical Components
1 Introduction
2 Majority Voting Machine Learning Technique
3 Methodology
3.1 Gear Data
3.2 Case Western Reserve University (CWRU) Bearing Data Centre
4 Result and Discussion
5 Conclusion
References
56 Simulation of Colour Image Processing Techniques on Verilog
1 Introduction
2 Literature Survey
3 Objectives
3.1 Brightness Operation
3.2 Threshold Operation
3.3 Invert Operation
4 Methodology
5 Result and Discussion
5.1 Convert the JPG to Hex
5.2 Image Read
5.3 Parameter
5.4 Image Write
5.5 Output Images
5.6 Flow Chart
6 Conclusion
References
57 Integrated Multi-biometric Template Security Based on Hybridization of Feature Transformation and Image Transformation
1 Introduction
1.1 Why Multimodal Biometric System?
1.2 Biometric template protection
2 Literature Survey
3 Proposed Technique
4 Results
5 Conclusion
References
58 Classifying Chromosome Images Using Ensemble Convolutional Neural Networks
1 Introduction
2 Related Work
3 Methods
4 Results and Discussion
5 Conclusion
References
59 Power Loss Sensitivity and GWO-Based Approach for Optimal Capacitor and DG Allocation in Distribution System
1 Introduction
2 Problem Formulation
2.1 Objective Function
2.2 System Constraints
3 Combined Power Loss Sensitivity
4 Optimization Algorithm
4.1 Group Hierarchy of GWO
4.2 Encircling of Prey
4.3 Hunting
4.4 Searching for Prey
4.5 Attacking Towards Prey
5 Computational Procedure
6 Numerical Results
7 Conclusion
References
60 Real-Time COVID-19 Detection and Prediction Using Chest X-rays and CT Scan: A Comparative Study Using AI
1 Introduction
2 Methodology
2.1 Dataset Used for the Study
2.2 Typical COVID-19 Lung Patterns
2.3 CNN Aided Transfer Learning
3 Metrics
4 Results
5 Conclusion
References
61 Heart Disease Prediction—An Online Consultation Software
1 Introduction
2 Methodology
3 Results
4 Conclusion
References
62 Evaluating Snort Alerts as a Classification Features Set
1 Introduction
2 Literature Review
2.1 Overview
2.2 Previous Studies
3 Methods and the Materials
4 Research Results and Discussions
5 Conclusion and Future Work
References
63 A System Design for Combined Approach of WCID and Wavelet Transformation to Optimize the Underwater Image Enhancement
1 Introduction
2 Literature Review
3 Research System Design
4 Conclusion
References
65 Daily Plant Load Analysis of a Hydropower Plant Using Machine Learning
1 Introduction
2 Research Review
3 Methodology
4 Results and Discussion
5 Conclusions
References
66 Enhanced Medical Monitoring Wireless Sensors Networks Using Proposed Greedy Multipoint Relays Protocol Algorithm
1 Introduction
2 Related Works
3 Proposed Model
4 Simulation
5 Results
5.1 Media Access Delay
5.2 Packet Delivery Ratio
6 Conclusion and Future Scope
References
67 Streetlight Management and Control System Using IOT
1 Introduction
2 Applications of Internet of Things
2.1 IoT in Day-to-Day Activities
2.2 IOT in Smart Home Applications
2.3 IOT in Biometric Systems
3 Literature Survey
4 Methodology
5 Flowchart
6 Results Obtained
7 Conclusion
8 Future Scope
8.1 Monitoring the Vehicles for Traffic Rules Violation
8.2 Monitoring the Vehicle for Over-Speeding
References
68 Comprehensive Analysis of Classification Techniques Based on Artificial Immune System and Artificial Neural Network Algorithms
1 Introduction
2 Literature Review
3 Proposed Methodology
4 Experiment Analysis
4.1 Dataset Taken
4.2 Evaluation Setup
4.3 Experimental Results
5 Conclusion
References
69 Low Cost IoT-Based Smart Wheelchair for Type-2 Diabetes and Spine-Disorder Patients
1 Introduction
2 Literature Survey
3 Methodology
4 Proposed Strategy
4.1 Interface for Locomotion
4.2 Accident Avoidance
4.3 Position Recording
4.4 Block Diagram
5 Conclusions
6 Future Prospects
References
70 Digital Image Forgery Detection Approaches: A Review
1 Introduction
1.1 Active/Intrusive/Non-blind Method
1.2 Passive/Non-intrusive/Blind Method
2 Review of Existing Works Regarding the Passive Image Forgery Detection Techniques
2.1 Copy-Move (Cloning) Forgery Detection
2.2 Image Splicing Detection
2.3 Image Retouching Detection
2.4 Deep Learning-Based Detection Methods
3 Datasets Available for Image Forgery Detection
4 Conclusion
5 Compliance with Ethical Standards
Appendix
References
71 A Framework Based on Latent Neighbourhood and Tensor Based Method for Recommender System
1 Introduction
2 Literature Review
2.1 Problem Statement
3 Framework of Recommendation Model
3.1 Neighbourhood Model
3.2 Latent Factor Model
3.3 Higher Order Singular Value Decomposition (HOSVD)
4 Experimental Results
4.1 Benchmark Datasets
4.2 Experimental Platform
4.3 Evaluation Metrics
4.4 Performance Evaluation
5 Conclusions
References
72 An Optimal Demand Response Strategy Using Gray Wolf Optimization
1 Introduction
2 Problem Formulation
3 Grey Wolf Optimizer
3.1 Prey Encircling
3.2 Prey Hunting
3.3 Attacking Prey
4 Test System
4.1 Residential Area
4.2 Commercial Area
5 Results and Discussion
5.1 Test Boat 1: Strategic Conservation
5.2 Test Boat 2: Load Shifting
6 Conclusion
References
73 Electricity Bill Saving Using Solar Rooftop PV Cell for a Residential Complex in Our Locality—A Case Study
1 Introduction
2 Literature Review
3 Model of the Building and Total Energy Consumption
3.1 Model of the Complex
3.2 Equipment Table and Energy Rating
4 Electricity Bill as Per the Available Supplier
5 Solar Calculations
6 Conclusion
References
74 Low Cost IoT Based Runaway Syndrome Tracking System
1 Introduction
2 Literature Review on Runaway Syndrome
2.1 An Insight on Runaway Syndrome
3 Precautions Available in the Market
4 Engineer’s Touch
5 Research Methodology
6 Discussion and Contribution Towards the Society
7 Conclusion
8 Future Scope
References
75 Application of Robotic Process Automation
1 Introduction
2 Literature Review
3 Application of RPA in Energy Sector
4 Conclusions
References
Author Index