Inventive Systems and Control: Proceedings of ICISC 2021

Description

This book presents selected papers from the 5th International Conference on Inventive Systems and Control (ICISC 2021), held on 7–8 January 2021 at JCT College of Engineering and Technology, Coimbatore, India. The book includes an analysis of the class of intelligent systems and control techniques that utilises various artificial intelligence technologies, where there are no mathematical models and systems available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies. The proceedings of ICISC 2021 aim at presenting the state-of-the-art research developments, trends, and solutions for the challenges faced by the intelligent systems and control community with the real-world applications. The included research articles feature the novel and unpublished research works on intelligent system representation and control. Foreword Preface Acknowledgments Contents Editors and Contributors Knowledge Graphs in Recommender Systems 1 Introduction 1.1 Recommender Systems 1.2 Knowledge Graph 2 Knowledge Graphs in Recommender System 3 Knowledge Graphs Embedding 3.1 Translational Models 3.2 Neural Network Models 4 Path-Based and Graph-Based Models 4.1 Path-Based 4.2 Graph-Based 5 Conclusion References Cyberbullying Detection on Social Media Using SVM 1 Introduction 2 Related Works 3 Proposed System 4 Results and Discussion 5 Conclusion References Ultraviolet Radiation in Healthcare Applications: A Decades-Old Game Changer Technology in COVID-19 1 Introduction 1.1 Classification of UV as UV-A, UV-B, and UV-C 2 Related Work: COVID-19, UV-C and the World 2.1 UV-C in Public Transport 2.2 UV-C in the Health and Food Industry 3 Proposed Work: Design and Implementation of Smart UV Chamber 4 Conclusion References Multi-agent Ludo Game Collaborative Path Planning based on Markov Decision Process 1 Introduction 2 Problem Description 2.1 Multi-agent Task Planning 2.2 Multi-agent Path Planning 3 Path Planning Algorithm 4 Simulation Results 5 Conclusion References An Analysis of Epileptic Seizure Detection and Classification Using Machine Learning-Based Artificial Neural Network 1 Introduction 2 ANN-Based Classification Model 3 Performance Validation 4 Conclusion References Improving Image Resolution on Surveillance Images Using SRGAN 1 Introduction 2 Dataset 3 Literature Survey 4 Proposed Method 4.1 Using the Sliding Window 4.2 GAN Model 4.3 Stitching 4.4 Contrast Limited Adaptive Histogram Equalization (CLAHE) 5 Experimental Results 6 Conclusions and Future Work References Smart City: Recent Advances and Research Issues 1 Introduction 2 Current Research Trend 3 Supportive Technologies for Smart City 3.1 Big Data 3.2 Smart Sensors and IoT 3.3 Information and Communication Technology 3.4 Geospatial Technology 3.5 Artificial Intelligence and Machine Learning 4 Issues and Challenges 4.1 Data Privacy and Security 4.2 Accurate and Precise Decision-Making Systems 4.3 Energy Consumption 4.4 Efficient and Secure Communication Technologies 5 Conclusion References HOUSEN: Hybrid Over–Undersampling and Ensemble Approach for Imbalance Classification 1 Introduction 1.1 Contribution 2 Related Work 2.1 Background 3 The Proposed Model: HOUSEN 3.1 Phase I 3.2 Phase II 4 Experiment and Result Analysis 4.1 Data Description 4.2 Preprocessing 4.3 Performance Metrics 5 Conclusion 6 Future Work References E-Pro: Euler Angle and Probabilistic Model for Face Detection and Recognition 1 Introduction 2 Literature Survey 3 Framework 3.1 Must-Have 3.2 Should Have 3.3 Could Have 3.4 Will not Have 4 Methodology 5 Results and Discussions 6 Conclusion References Classification of Covid-19 Tweets Using Deep Learning Techniques 1 Introduction 2 Literature Survey 3 Design and Implementation 3.1 Data Cleaning 3.2 Data Pre-processing 3.3 Feature Extraction 4 Deep Learning Techniques 4.1 Convolution Neural Network (CNN) 4.2 Recurrent Neural Network (RNN) 4.3 Recurrent Neural Network with Long Short Term Memory (RNN + LSTM) 4.4 Recurrent Convolution Neural Network (RCNN) 4.5 Bidirectional LSTM with Attention 4.6 Remarks 5 Results and Analysis 6 Conclusion References Applied Classification Algorithms Used in Data Mining During the Vocational Guidance Process in Machine Learning 1 Introduction 1.1 Data Mining Algorithm and Techniques 1.2 Classification 1.3 Types of Classification Models: 1.4 Machine Learning 1.5 Types of Machine Learning 2 Literature Survey 3 Proposed Methodology 4 Result Analysis 5 Conclusion References Meta-Heuristic Algorithm for the Global Optimization: Intelligent Ice Fishing Algorithm 1 Introduction 2 Problem Statement 2.1 The Basic Definitions and Notation 3 The General Scheme and Main Algorithm Procedures 4 Research of the Algorithm Efficiency 5 Conclusion References Progression of EEG-BCI Classification Techniques: A Study 1 Introduction 2 Advances in Classification Techniques 3 Conclusion References Cuckoo Scheduling Algorithm for Lifetime Optimization in Sensor Networks of IoT 1 Introduction 2 Related Works 3 Proposed CSA Technique 3.1 Clustering Phase 3.2 Scheduling Phase 4 Performance Evaluation and Analysis 4.1 Coverage Ratio 4.2 Active Sensors Ratio 4.3 Energy Consumption 5 Conclusion References Design and Development of an Automated Snack Maker with CNN-Based Quality Monitoring 1 Introduction 2 Literature Review 3 Project Design 3.1 Hardware Module 3.2 Quality Monitoring 4 Network Training 4.1 Network Performance Analysis 4.2 GUI for Quality Checking 5 Conclusion References An Effective Deep Learning-Based Variational Autoencoder for Zero-Day Attack Detection Model 1 Introduction 2 The Proposed DL-VAE Model 2.1 Pre-processing 2.2 VAE-Based Zero-Attack Detection 3 Performance Validation 4 Conclusion References Image-Text Matching: Methods and Challenges 1 Introduction 2 Related Work 3 Deep Learning Image-Text Matching Methods 3.1 Global Matching Methods 3.2 Local Matching Methods 3.3 Hybrid Matching Methods 4 Conclusion References Fault Location in Transmission Line Through Deep Learning—A Systematic Review 1 Introduction 2 Related Work 2.1 Deep Learning Techniques 2.2 Stacked Autoencoders 2.3 Support Vector Machine 2.4 Decision Trees 2.5 Convolutional Neural Network 2.6 Deep Belief Network 2.7 Other Deep Learning Algorithms Used for Fault Detection in Power Transmission 3 Conclusion References A Cost-Efficient Magnitude Comparator and Error Detection Circuits for Nano-Communication 1 Introduction 2 A Brief Oversight of Quantum-Dot Cellular Automata 2.1 Majority Gate 2.2 QCA Clocking 2.3 QCA Designer 3 Proposed QCA Architecture 3.1 Proposed QCA XOR Gate 3.2 Proposed QCA Binary Magnitude Comparator 3.3 Parity Generator 3.4 Parity Checker 4 Simulation Result and Discussion 5 Conclusion References A Survey of Existing Studies on NOMA Application to Multi-beam Satellite Systems for 5G 1 Introduction 2 Overview of NOMA Concept 3 Survey of Existing NOMA-Based Satellite Networks’ Studies 3.1 Type of Network Studies 3.2 Survey of Network Analysis Studies 3.3 Survey of network’s Power Allocation Design Studies 3.4 Survey of network’s Precoding Design Studies 4 Observations and Opened Research Areas Identification 4.1 Observations 4.2 Opened Research Areas 5 Conclusion References Luhn Algorithm in 45nm CMOS Technology for Generation and Validation of Card Numbers 1 Introduction 2 Literature Survey 3 The Luhn Algorithm 4 Generation System for Hex Card Numbers 4.1 Schematic and Layouts of Generator Circuit 5 Verification System for Hex Card Numbers 5.1 Schematic and Layouts of Verification Circuit 5.2 Results and Performance Analysis 6 Conclusion References Stability Analysis of AFTI-16 Aircraft by Using LQR and LQI Algorithms 1 Introduction 2 Literature Survey 3 Stability Analysis with Conventional State-space Method 4 Stability Analysis with Optimal Control Systems (LQR Technique) 4.1 Solution of Care 5 Stability Analysis with Optimal Control Systems (LQI) Technique 6 Stability Analysis with Optimal Control Systems (Discrete LQR) Technique 6.1 Solution of Dare Algorithm 7 Conclusion References Location Analytics Prototype for Routing Analysis and Redesign 1 Introduction 2 Related Work 3 Proposed Work 4 Result Analysis 5 Conclusion References Artificial Intelligence Analytics—Virtual Assistant in UAE Automotive Industry 1 Introduction 2 Literature Review 2.1 Services Provided by Virtual Assistant 2.2 Future Generations of an Intelligent Virtual Assistant 3 Research Methodology 3.1 Research Objective 4 Analysis and Interpretation 5 Discussion 6 Conclusion References Performance Improvement of Mobile Device Using Cloud Platform 1 Introduction 2 Literature Survey 2.1 Mobile Cloud Computing 2.2 Computation Offloading 2.3 Face Recognition 2.4 Face Recognition Using Mobile Cloud Computing 3 Proposed Work and Approach 3.1 Identification of a Face from the Image 3.2 Face Positioning 3.3 Encoding Faces 3.4 Recognizing the Person 3.5 Execution Time 3.6 Experimental Setup 3.7 Dataset 4 Discussion and Result 5 Conclusion References Image Restoration by Graduated Non-convex Local Adaptive Priors: An Energy Minimization Approach 1 Introduction 2 Literature Survey and Related Work 3 Proposed Work 4 Sparsity-Based Initial Blur-Map Estimation 5 Estimation of the Focused Image 6 Experiments and Results 7 Conclusion References Computational Framework for Visually Impaired 1 Introduction 2 Review and Literature Survey 3 Design of the System 3.1 Desirable 3.2 Feasible 4 Architecture of System 5 Computer-Aided Learning 5.1 Data Collection 5.2 Image Pre-processing 5.3 Inception Model 6 Result and LSTM for Captioning 7 Raspberry pi and Speaker/Headphone 8 Conclusion References Human Scream Detection Through Three-Stage Supervised Learning and Deep Learning 1 Introduction 2 Related Works 3 Data Collection 4 Testing and Training Sets 5 Working Methodology 5.1 Using SVM-Based Classification 5.2 Using Multilayer Perceptron Model 6 Result Analysis 7 Conclusion 8 Future Work References A Study on Human-like Driving Decision-Making Mechanism in Autonomous Vehicles Under Various Road Scenarios 1 Introduction 2 Related Works 3 Existing Methodologies 4 Analysis 5 Conclusion References Recommendations for Student Performance Improvement Based on Result Data Using Educational Data Mining 1 Introduction 2 Association Rule Mining 3 Research Steps 3.1 Data Collection, Preprocessing, and Preparation 3.2 Processing 3.3 Result Analysis 4 Recommendations 5 Conclusion and Future Scope References Implementation of Controller for Self-balancing Robot 1 Introduction 2 Mathematical Modelling 3 Mechatronic System 3.1 Mechanical System 3.2 Electrical System 4 Proposed Model 4.1 Algorithm Main Program 5 Simulation Results 5.1 Implementation of Fuzzy Logic Controller 6 Conclusion References An Empirical Study of Deep Learning Models for Abstractive Text Summarization 1 Introduction 2 Related Works 3 Deep Learning Models 3.1 Convolutional Neural Network 3.2 Recurrent Neural Network 3.3 Long Short-term Memory 3.4 Attention Mechanism in Recurrent Neural Network 4 Experiment Setups and Results 4.1 Training Datasets 4.2 Experimental Process 5 Results and Analysis 5.1 Tuning Hyper-Parameter for Loss and Accuracy 5.2 Evaluation Using Rouge Metrics 6 Conclusion References Analysis and Performance Evaluation of Innok Heros Robot 1 Introduction 2 Motivation 3 Related Works 4 System Architecture 4.1 Sensors 4.2 Software 4.3 Kalman Filter 4.4 Graphical User Interface (GUI) 4.5 Controller 5 Design and Implementation 6 Node Graph 7 Experiment and Result 8 Conclusion References A Smart Plant Watering System for Indoor Plants with Optimum Time Prediction for Watering 1 Introduction 2 Literature Survey 3 Proposed Model 4 Implementation 4.1 Hardware Setup 4.2 Android App 4.3 Prediction Algorithms 5 Observations 6 Results and Discussion 7 Conclusion 8 Future Work References Healthcare Bot Using Machine Learning Algorithms for Medical Services 1 Introduction 2 Related Work 3 Healthcare Bot 3.1 The User Interacts with the Bot 3.2 Symptom Checker 3.3 Doctor Recommender System 4 Experimental Evaluation 4.1 Datasets Used 4.2 Evaluation Measures 4.3 First Experiment 5 Result Analysis 6 Conclusion and Future Work References Melanoma Detection and Classification in Digital Dermoscopic Images Using Machine Learning 1 Introduction 2 Literature Survey 3 Proposed Method 3.1 Input Image 3.2 Preprocessing 3.3 Segmentation 3.4 Feature Extraction 3.5 Classification 4 Testing Results 4.1 Performance Evaluation Metrics 5 Conclusion References An Introduction to Network Security Attacks 1 Introduction 2 Network Security Attacks 3 Types of Network Security Attacks 3.1 Malware Attacks 3.2 Denial of Service (DOS) Attacks 3.3 Reconnaissance Attacks 3.4 Access Attacks 4 Discussion 5 Conclusion References Design of Small-Sized Meander Lined Printed Monopole Antenna Operating in VHF Range 1 Introduction 2 Antenna Design and Structure 3 Simulated Results and Discussions 4 Conclusion References Feasibility of Intelligent Techniques for Automated Positioning of Servomotors 1 Introduction 2 Database Selection 3 Selection of Membership Function for Servomotor Position Control 4 Neural Network Based Servomotor Position Control 5 Conclusion and Future Scope References Decision Support Technique for Prediction of Acute Lymphoblastic Leukemia Subtypes Based on Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System 1 Introduction 2 Related Work 3 Experimental Details 4 Experimental Result and Discussion 4.1 Training and Testing Artificial Neural Network (ANN) 4.2 Training and Testing ANFIS 5 Training and Test Error (MSE) Comparison of Developed ANN and ANFIS 6 Future Development 7 Conclusion References Extended Equilibrium-Based Transfer Learning for Improved Security in Cloud Environment 1 Introduction 2 Related Works 3 Motivations and Problem Statements 3.1 Research Challenges in the Cloud Security Systems 3.2 Future Research Directions for the Cloud Security Systems 4 Objectives 5 Proposed Methodology 6 Result Analysis 7 Conclusion References Tracking Methodology for Fast Retrieval of Data and Its Feasibility Study 1 Introduction 1.1 Problem Statement 1.2 Objective 1.3 Scope 1.4 Methodology 2 Literate Review 2.1 Existing and Proposed System 2.2 Report on Feasibility 3 Proposed Work 3.1 Dashboard 3.2 Task 3.3 Inbox 3.4 Recruitment 3.5 Time off 4 Conclusion 5 Future Enhancements References HFQAM-Based Filtered OFDM: A Novel Waveform Design with Hybrid Modulation for Next-Generation Wireless Systems 1 Introduction 2 Filtered OFDM Waveform 3 Hybrid Modulation Technique 4 The Proposed System Model 5 Results 6 Conclusion References An Approach to Extract Meaningful Data from Unstructured Clinical Notes 1 Introduction 2 Related Work 2.1 Time-Series Models 2.2 Disease Progression Models 2.3 Computational Phenotyping 2.4 Mining Clinical Notes 3 Materials and Methods 3.1 System Design 3.2 Text Processing and Feature Extraction 4 Result Analysis 4.1 Training Dataset 5 Conclusion 6 Future Work References A Study of Blockchain for Secure Smart Contract 1 Introduction 2 Blockchain and Smart Contracts 3 Literature Review 4 Conclusion References Ensemble-Based Stegomalware Detection System for Hidden Ransomware Attack 1 Introduction 2 Related Work 3 Proposed Work 3.1 System Model 4 Experimental Setup 4.1 Experimental Settings 4.2 Parameter Settings 4.3 BOSSBase Dataset -Description 4.4 Evaluation Measures 5 Experimental Results and Discussions 5.1 Hidden Payload Detection 5.2 Hidden Payload Classification 5.3 Percentages of Malicious Activity from Extracted Payload 6 Conclusion and Future Work References Machine Learning and GIS-Based Accident Detection and Emergency Management System for Two-Wheelers 1 Introduction 1.1 Background Analysis for Accident Detection 1.2 Causes for Road Accidents 2 Related Works 3 Proposed Methodology 3.1 Module 1: Accident Detection in Two-Wheelers 3.2 Module 2: Identification of Shortest Route to Nearby Emergency Care Unit or Casualty Care Unit 3.3 Module 3: Data Analytics for Accident Management System 4 Conclusion References Monitoring and Controlling of ICU Environmental Status with WiFi Network Implementation on Zynq SoC 1 Introduction 2 Literature Survey 3 Methodology 4 Design of ICU Field Monitoring System with Zynq 5 Software Development 6 Result Analysis 7 Conclusion References Reversible Data Hiding Using Secure Image Transformation Technique 1 Introduction 2 Existing System 2.1 Trusted Cloud Computing 2.2 Reversible Watermarking Schemes 2.3 Recursive Histogram Notification 3 Proposed System 3.1 Reversible Data Hiding (RDH) 3.2 Reversible Image Transformation 3.3 Block Pairing 3.4 Block Transformation 3.5 Experimental Results of RIT 4 Conclusion References Analysis of Topologies for Cooperative Tracking Control of Multi-agent Systems 1 Introduction 2 Graph Theory Notation 3 Dynamics of Spacecraft 4 Leader Follower Cooperative Tracking Control 4.1 Analysis of Various Topologies 5 Simulation Results and Discussions 6 Conclusion References An Overview of Different Control Topologies in DC Microgrid 1 Introduction 2 Controllers in DC Microgrid 3 Conclusion References Augmented Reality on User-Friendly Maneuver for Hunting Arsenic Toxicant 1 Introduction 2 Development of Arsenic Monitoring System 2.1 Hardware Structure of Remote System 2.2 Back End Design on Cloud and Grid Computing 3 Results and Discussion 3.1 Results for Nano Sensor Strip 4 Estimation and Standardization of Developed Arsenic Sensor 5 Future Enhancement as LOC 6 Conclusion References Review of Different Machine Learning Techniques for Stock Market Prediction 1 Introduction 2 Literature Review 3 Discussion and Conclusion 4 Future Scope References Performance Analysis of Phased Array Antenna in ISM Band Using Phase Shifter IC 2484 and PSoC 1 Introduction 2 Proposed Layout of Phased Array 2.1 Printed Dipole Antenna 2.2 Wilkinson Power Divider (WPD) 2.3 Phase Shifter IC 2484 2.4 PSoC Controller 3 Simulated Phased Array Antenna 4 Fabricated Phased Array Antenna 5 Validation of Proposed and Reported Phased Array 6 Conclusion References Knowledge Discovery Based Automated Recognition of Traffic Sign Images Using Hybrid PCA-RBF Network 1 Introduction 2 Related Work 3 Proposed Work 3.1 Self-Adaptive RBF NN 4 Experimental Result and Analysis 4.1 Recognition Under Poor Visibility and/or Aging Condition 5 Conclusion References Unsupervised Deep Learning on Spatial-Temporal Traffic Data Using Agglomerative Clustering 1 Introduction 1.1 Highlighting Features in Traffic Management Techniques 2 Related Work 3 Proposed Study in Traffic Data 3.1 Preprocessing Traffic Data 4 Experimental Study 4.1 Algorithm: Spatial–Temporal Traffic Data Using Agglomerative Clustering 4.2 Agglomerative Clustering 4.3 Time Series Visualization in Traffic Data 5 Discussion 6 Conclusion References Divorce Prediction Scale Using Improvised Machine Learning Techniques 1 Introduction 2 Related Work 3 Proposed Approach 3.1 Data Collection 3.2 Data Preprocessing 3.3 Model Creation 3.4 Applied Algorithms 4 Experimental Setup and Result Analysis 4.1 Experimental Setup 4.2 Result Analysis 5 Discussion 6 Conclusion References Design a Hybrid Algorithm Using ACO and Best-Fit Optimization Algorithm for Energy Consumption in Cloud Data Center 1 Introduction 2 Literature Review 3 Design of the Proposed System 3.1 Hybrid Algorithms 4 Results and Discussion 4.1 Discussion 4.2 Results 4.3 Simulation for Scheduling 5 Conclusion and Future Work References FPGA Implementation of Low Latency and Highly Accurate Median Filter Architecture for Image Processing Applications 1 Introduction 2 Method Description 2.1 Sliding Window 2.2 Noise Detection 2.3 Proposed Sorting Algorithm for Median Filter 2.4 Median Filter Architecture 3 Results and Discussion 3.1 Low Latency Median Filter 3.2 Simulation Results 3.3 Performance Analysis 3.4 Implementation of FPGA 4 Conclusion References LoRa and Wi-Fi-Based Synchronous Energy Metering, Internal Fault Revelation, and Theft Detection 1 Introduction 2 Methodology 2.1 Error Detecting Mechanism 2.2 Fault Alerting Mechanism 2.3 Power Monitoring Mechanism 2.4 Billing Mechanism 2.5 Location Tracing of Line Breakage 2.6 Reclosing Mechanism 2.7 Power Theft Detection 3 System Design 3.1 Microcontroller 3.2 Stepper Motor 3.3 Linear Actuator 3.4 DC Motor Drive 3.5 Power Monitoring Module 3.6 Fault Detection Circuit 3.7 Connectivity Devices 3.8 Real-Time Clock 3.9 Cloud Integration 4 Result and Discussion 4.1 Test Result in IoT Platform 5 Conclusion References A Load Balancing Based Cost-Effective Multi-tenant Fault Tolerant System 1 Introduction 2 Related Work 3 Proposed Work 3.1 Application Architecture 3.2 Distinguished Features 4 Results 4.1 Active Flow Count 4.2 New Flow Count 4.3 Load Balancer Reset Count 4.4 Byte Count 4.5 Target Reset Count 5 Conclusion References A Comprehensive Study of Machine Translation Tools and Evaluation Metrics 1 Introduction 1.1 Statistical Machine Translation (SMT) 1.2 Neural Machine Translation (NMT) 2 Overview of Machine Translation Tools 2.1 Moses 2.2 SRLIM 2.3 CMU Cambridge Tool Kit 2.4 Pharaoh 2.5 Mood 2.6 Marian NMT 2.7 Nematus 2.8 Thot Tool 2.9 Open AI Kit (OAK) 3 Analysis of the Machine Translation Tools 4 Machine Translation Evaluation Metrics 4.1 BELU 4.2 NIST 4.3 TER 4.4 METEOR 4.5 Word Error Rate (WER) 4.6 Orange 4.7 MaxSim 5 Analysis of Automatic Metrics for Machine Translation 6 Conclusion References A Novel Approach for Finding Invasive Ductal Carcinoma Using Machine Learning 1 Introduction 2 Related Work 2.1 Breast Malignancy Types 2.2 Methods to Detect Breast Malignancy 3 Proposed System for Finding Invasive Ductal Carcinoma Using Machine Learning 3.1 Performance Measure and Parameter Selection 4 Result 5 Conclusion References Cluster Performance by Dynamic Load and Resource-Aware Speculative Execution 1 Introduction 1.1 MapReduce and Speculative Execution 1.2 Objective 1.3 Problem Definition 1.4 Scope of the Work 1.5 Expected Outcome 2 Literature Survey 2.1 Summary of the Literature 3 System Model 3.1 Job Service Process Under Speculative Execution 3.2 Problem Formulation 3.3 Deriving the Cut-Off Threshold for Different Operating Regimes 3.4 Optimal Cloning in Lightly Loaded Regime 4 Implementation 4.1 Implementation Tools 4.2 Software Requirements 4.3 Hardware Requirements 4.4 Module Description 4.5 Implement and Evaluate the Performance of WordCount with Optimized SCA & ESE Algorithm 4.6 Detailed Analysis in Loading Conditions, Different Programs, and Performance Optimization 5 Testing and Evaluations 5.1 Key Tuning Parameters 6 Experimental Results 7 Conclusion References Matyas–Meyer–Oseas Skein Cryptographic Hash Blockchain-Based Secure Access Control for E-Learning in Cloud 1 Introduction 1.1 Outline of the Article 2 Related Work 3 Matyas–Meyer–Oseas Skein Cryptographic Hash-Based Blockchain Technology 3.1 Modified Connectionist Double Q-Learning 4 Experimental Setup 5 Results and Discussion 5.1 Data Confidentiality Rate 5.2 Execution Time 5.3 Prediction Accuracy 6 Conclusion References Chapman Kolmogorov and Jensen Shannon Ant Colony Optimization-Based Resource Efficient Task Scheduling in Cloud 1 Introduction 1.1 Outline of the Article 2 Related Work 3 Kolmogorov Markov Stochastic Jensen–Shannon Divergence-Based Multi-objective Ant Colony Optimization for Task Scheduling in Cloud 3.1 Chapman Kolmogorov Markov Stochastic Transition 3.2 Jensen–Shannon Divergence-Based Pheromone Trails Update 4 Experimental Setup 5 Performance Analysis and Discussion 5.1 Impact of Task Scheduling Efficiency 5.2 Impact of the False-Positive Rate 5.3 Impact of Makespan 6 Conclusion References Security Aspects in Cloud Tools and Its Analysis—A Study 1 Introduction 2 Overview of Cloud-Computing 2.1 Cloud Applications 2.2 Cloud Deployment Services Models 2.3 Cloud Computing Security Issues 3 Comparative Study on Cloud Computing Encryption Schemes 3.1 Analyze Cloud in the Protocol Tab 3.2 Analyzing Gmail Cloud in JSKYTools 4 Conclusion 5 Future Work References Industrial Internet of Things (IIoT): A Vivid Perspective 1 Introduction 2 Industrial Internet of Things 3 IIoT Architecture 4 IIoT Enabling-Technologies 5 IIoT Applications 6 IIoT Challenges and Future Scope 7 Conclusion References Exposure Effect of 900 MHz Electromagnetic Field Radiation on Antioxidant Potential of Medicinal Plant Withania Somnifera 1 Introduction 2 Materials and Methods 2.1 Planting Material Grounding 2.2 Electromagnetic Wave Exposure 2.3 Plant Extract Preparation 2.4 Quantification of Total Phenolic Content 2.5 Quantification of Total Flavonoid Concentration 2.6 DPPH Radical Scavenging Assay 2.7 Total Antioxidant Activity Assay 3 Statistical Analysis 4 Result and Discussion 5 Conclusion References Content Based Scientific Article Recommendation System Using Deep Learning Technique 1 Introduction 2 Related Work 3 Overview of Architecture 3.1 Gated Recurrent Unit (GRU) 3.2 Apriori Algorithm 4 Methodology 4.1 Architectural Details of GRU in C-SAR 5 Experimental Study 6 Results and Discussion 7 Conclusion References Design Considerations for Low Noise Amplifier 1 Introduction 2 Design Considerations 2.1 LNA Topologies 2.2 LNA Parameters 2.3 Process Technologies 2.4 Input and Output Matching 2.5 Stability 3 Issues Faced in Cmos LNA Design 4 Application Areas of LNA 5 Conclusion and Future Scope References Author Index