Advanced communication and intelligent systems : First International conference, ICACIS 2022, virtual event, October 20-21, 2022, revised selected papers

Preface Organization Contents Towards 6G-Enabled Edge-Cloud Continuum Computing – Initial Assessment 1 Introduction 1.1 Historical Perspective 2 Architecture of 6G Networks – Current Vision 2.1 B5G Networks 3 Selected Application Areas of 6G Networking 3.1 Towards Edge-Cloud Continuum Computing 3.2 Artificial Intelligence in Edge-Cloud Ecosystems 3.3 Distributed Ledger Technologies and 6G Networking 3.4 Industry 4.0 and Beyond 3.5 Healthcare Applications 3.6 Environment Protection and Monitoring 4 Security of 6G Networks 5 Concluding Remarks References Experiments with Big Semi-Structured Data Analytics for Digital Marketing 1 Introduction 2 Related Work 3 System Development 3.1 Environment Setup 3.2 Data Sources 3.3 Data Importing 4 Experiments and Results 4.1 Basic Visualisation 4.2 Data Manipulation 4.3 Big Data Characteristics 4.4 Discussion 5 Conclusions References Stratification of White Blood Cells Using Optimized DenseNet201 Model 1 Introduction 2 Literature 3 Proposed Methodology 3.1 Input Dataset 3.2 Data Augmentation 3.3 White Blood Cells Prediction Using Pre-trained Models 4 Accuracy and Loss Curves Analysis for Different Transfer Learning Models 4.1 Analysis for DenseNet121 Model 4.2 Analysis for DenseNet201 Model 4.3 Analysis for EfficientNetB0 Model 4.4 Analysis for EfficientNetB7 Model 4.5 Analysis for ResNet50 Model 4.6 Analysis for ResNet152V2 Model 4.7 Confusion Matrix Parameters Analysis of all Transfer Learning Models 5 Analysis of Best DenseNet201 Model on Five Different Optimizers with Different Epochs 5.1 Analysis of Adam Optimizer 5.2 Analysis of SGD Optimizer 5.3 Analysis of Adadelta Optimizer 5.4 Analysis of Adagrad Optimizer 5.5 Analysis of RMSProp Optimizer 5.6 Comparison on Different Optimizers on DenseNet201 Model 6 Conclusion References Generating Functions and Approximations of the Caputo Fractional Derivative 1 Introduction 2 Approximations of the Caputo Derivative 3 Optimal Shifted Approximations 4 Shifted Grünwald Difference Approximation 5 Conclusions References Real-Time 3D Reconstruction for Mixed Reality Telepresence Using Multiple Depth Sensors 1 Introduction 2 Related Work 3 Real-Time 3D Reconstruction Method 3.1 Multiple Depth Sensor Setup 3.2 Surface Reconstruction 3.3 Merging of 3D Reconstruction Data for MR Telepresence 4 Results 5 Conclusion References A Robust Data Hiding Scheme Using Singular Value Decomposition and Wavelet Transform 1 Introduction 2 Related Work 3 Proposed Scheme 3.1 Singular Value Decomposition (SVD) 3.2 Discrete Wavelet Transform 4 Watermark Attacks 5 Conclusion References Simulation Experiments of a Distributed Fault Containment Algorithm Using Randomized Scheduler 1 Introduction 2 Background 2.1 Motivation 3 Algorithm 4 Methodology 5 Results 6 Conclusion References Novel Computer Vision Approach for Scale-Specific Generative Stick Figure as Synthetic Tribal Art Works 1 Introduction 2 Literature review 3 Approach 3.1 Synopsis of the Working Methodology 3.2 Architecture of Creating the Stick Figures 4 Viable Result Analysis 4.1 Analysis of Figure Anatomical Ratio Using Precise Computational Geometry 4.2 Selection of BGR Color Channels 4.3 Final Image Data Set Generation 5 Conclusion References Facial Emotion Recognition Based on Textural Pattern and Histogram of Oriented Gradient 1 Introduction 2 Proposed Methodology 3 Results and Discussion 4 Conclusion References Fruit-Net: Fruits Recognition System Using Convolutional Neural Network 1 Introduction 2 Proposed Methods and CNN Structure 2.1 Convolutional Layers 2.2 Pooling Layers 2.3 Fully Connected Layers 2.4 Architecture Based on VGG-16 2.5 Architecture Based on Inception V3 3 Empirical Results 4 Conclusion References Prediction of Glaucoma Using Deep Learning Based Approaches 1 Introduction 2 Related Works 3 Data Collection 4 Data Preparation 5 Models Used in Our Work 6 Proposed Methodology 7 Result and Discussion 8 Result and Discussion References Detection of Parkinson’s Disease Through Telemonitoring and Machine Learning Classifiers 1 Introduction 2 Related Works 3 Data Collection 4 Dataset Information 5 Data Pre-processing 6 Feature Selection and Model Training 7 Result and Discussion 8 Conclusion and Future Scope References Implementation of Smart Contract Using Ethereum Blockchain 1 Introduction 1.1 Research Problem 2 Background and Related Work 3 System Model 4 Implementation of the Proposed Model 4.1 Remix- Ethereum IDE 4.2 Ganache 4.3 Deploy the Contract 5 Performance Analysis 5.1 Gas Cost 5.2 Average Execution Time 6 Conclusion 6.1 Future Work References Prediction of Compressive Strength of Geopolymer Concrete by Using Random Forest Algorithm 1 Introduction 2 Materials and Method 3 Results and Discussion 4 Conclusion References Cardiovascular Disease Prognosis and Analysis Using Machine Learning Techniques 1 Introduction 2 Literature Review 3 Methodology 3.1 Categories of Machine Learning 3.2 Working Model 3.3 Data Tools 3.4 Evaluation 4 Result 5 Conclusion and Future Prospects References Cardiac Disease Detection Using IoT-Enabled ECG Sensors and Deep Learning Approach 1 Introduction 2 Literature Review 3 Motivation and Contribution to Society 3.1 Key Parameters to Consider 3.2 Role of the Proposed System 4 Proposed System Architecture 5 Proposed System Methodology 5.1 Requirement Analysis 5.2 Data Preprocessing 5.3 Feature Selection 5.4 Classification 5.5 Testing 6 Datasets 6.1 Heart Disease Dataset 6.2 Heart Failure Prediction Dataset [27] 6.3 Cardiovascular Disease Dataset [28] 6.4 PTB-XL Dataset [29] 7 Evaluation Parameters 8 The Choice of Method for ECG Signal Reading 9 Conclusion References Critical Evaluation of SIMON and SPECK BLOCK Cipher for Different Modes of Operation 1 Introduction 2 Background 2.1 SIMON and SPECK 2.2 Modes of Encryption 3 Experiment Results and Analysis 3.1 SIMON and SPECK Performance Analysis 3.2 SIMON and SPECK Security Analysis 4 Conclusion References An Analysis on the Methods for Water Quality Prediction from Satellite Images and Camera Images 1 Introduction 2 Existing Work 3 Approach 4 Methodology 4.1 Satellite Images 4.2 Clicked Images 5 Results and Discussion 6 Future Scope References Energy Efficient Routing in Wirelss Sensor Network for Moving Nodes Using Moth Flame Algorithm Compared with Vector Based Routing 1 Introduction 2 Materials and Methods 2.1 Moth Flame Algorithm 2.2 Vector Based Routing 3 Statistical Analysis 4 Results 5 Discussion 6 Conclusion References Augmented Reality Using Gesture and Speech Accelerates User Interaction 1 Introduction 2 Gesture and Speech Interactions 3 Methodology 4 Test Application 5 Conclusion References Survey and Performance Evaluation of Clustering and Cooperative Medium Access Protocols for Vehicular Networks 1 Introduction 2 MAC Protocols for VANETs 2.1 Performance Metrics for Evaluation of MAC Protocols 2.2 Discussion on Various MAC Protocols 3 Performance Analysis of Various MAC Protocols 4 Conclusions References Improve CNN Model Agro-Crop Leaf Disease Identification Based on Transfer Learning 1 Introduction 2 Related Work 3 Crop Diseases Detection Technique and Recognition Model 4 Data Processing 4.1 Dataset 4.2 Dataset Processing 5 Transfer Learning Network 5.1 VGG-16 Architecture 5.2 ResNet-50 6 Experiment and Analysis 7 Conclusion References Per User Based Multi Threshold Scheduling for BER Improvement Compared to Priority Scheduling in MU-MIMO Networks 1 Introduction 2 Materials and Methods 3 Novel Per User Based Multi Threshold Scheduling Algorithm 4 Results 5 Discussion 6 Conclusion References Cervical Cancerous Cell Detection Using Enhanced Classification and Embedded Deep Learning Method 1 Introduction 1.1 Overview 2 Basic Concept of Machine Learning Methods 2.1 Cervical Cancer 3 Literature Review 4 Methodology 4.1 Sipakmed Dataset 5 Results and Discussions 6 Conclusion References Hybridization of AES and RSA Algorithm in File Encryption Using Parallel Computing 1 Introduction 2 Literature Review 3 Methodology 3.1 RSA Algorithm 3.2 Advanced Encryption Standard (AES) Algorithm 3.3 OpenMP API 3.4 Proposed Method 4 Output 5 Results and Discussion 6 Conclusion References Lightweight Trust Aware Hybrid Key Management Scheme for WSN to Reduce the Energy Consumption in Comparison with TERP and LTB-AODV 1 Introduction 2 Materials and Methods 2.1 Statistical Analysis 3 Results 4 Discussion 5 Conclusion References A Comparative Analysis of SIW Bandpass Filters Loaded with Different Shapes of DGS-DMS for Satellite Communication 1 Introduction 2 Basic Structure of SIW 3 Design of SIW Bandpass Filter Structures 3.1 SIW Filter I 3.2 SIW Filter II 3.3 SIW Filter III 3.4 SIW Filter IV 3.5 SIW Filter V 4 Conclusion References Efficient Energy Consumption Model for Clusters in Wireless Sensor Network 1 Introduction 2 Related Work 3 Proposed Energy-Consumption Model 3.1 Network Model 4 Simulation Parameters and Result Analysis 4.1 Simulation Parameters 4.2 Result Analysis 5 Conclusion References Emotion Identification from Tamil Song Lyrics Using Machine Learning Algorithms 1 Introduction 2 Related Works 3 Emotions for Tamil Song Lyrics 4 Emotion Extraction Model 4.1 Naive Bayes Classification 4.2 Support Vector Machine 4.3 K-Nearest Neighbor Classifier 4.4 Emotional Keywords 5 Results and Discussions 6 Metrics for Evaluation 7 Conclusion References AI Based Interactive System-HOMIE 1 Introduction 2 Literature Review 3 Components of HOMIE 4 Working of HOMIE 5 Context Related Surveys 6 Conclusions 7 Future Scope References Factors Influencing Security Issues in Cloud Computing 1 Introduction 2 Literature Survey 3 Architecture of Cloud Computing and Its Implications for Security 4 Charactersistics of Cloud Computing and Security Implications 5 Deep Dependencies of Cloud Computing Stack 6 Stakeholders in Cloud Computing and Security Consequences 7 Models for Delivery of Cloud Computing Services and Their Security Implications 8 Security Enablers for Cloud Computing 9 Conclusions 10 Future Work References Code-Based Cryptography: A Comparative Study of Key Sizes 1 Introduction 2 Related Work 2.1 Cryptosystems 2.2 Attacks 2.3 Preliminaries 2.4 Rank Metric Code 3 Comparison of the Code-Based Cryptosystems 4 Conclusion References Advance Collision Prevention System 1 Introduction 2 Literature Survey 3 Methodology 3.1 Algorithm 3.2 Flow Chart 3.3 Live Video Capture 3.4 Eye and Mouth Detection 3.5 Drowsiness Detection 3.6 Yawn Detection 3.7 EAR and Yawn Frequency Analysis 3.8 Cell Phone Detection 4 Observations 5 Results 6 Conclusion References Energy Efficient Routing in Underwater Acoustic Sensor Network Using Crow Optimization Algorithm Over Aodv 1 Introduction 2 Materials and Methods 2.1 Statistical Analysis 3 Results 4 Discussion 5 Conclusion References Sign Language Recognizing Using Machine Learning 1 Introduction 2 Literature Review 2.1 Support Vector Machine (SVM) 2.2 Human Computer Interaction 2.3 Virtual Reality Modelling Language 2.4 Bag of the Features 2.5 Particle Swarm Optimization 3 Methodology 4 Result 5 Conclusion References A Review of Clustering Techniques on Image Segmentation for Reconstruction of Buildings 1 Introduction 2 Performance Metrics of Clustering Techniques 2.1 Parallel K-means clustering technique 2.2 Hierarchical Clustering Technique 2.3 Fuzzy C-means Clustering Technique 2.4 Density Based Clustering Technique 3 Problems of Clustering Methods 3.1 Parallel K-means clustering 3.2 Hierarchical Clustering 3.3 Problems Using Density Based Clustering 4 Performance Analysis of Clustering Techniques 5 Conclusion References Deep Neural Networks for Wild Fire Detection and Monitoring with UAV 1 Introduction 2 Related Works 3 Methodology 3.1 Model 3.2 Network Architecture 3.3 Transfer Learning 3.4 DataSet 3.5 Performance Evaluation 4 Implementations 5 Conclusion References PDR Improvements Using Per User Based Multi Threshold Scheduling Compared to Priority Scheduling for MU-MIMO Networks 1 Introduction 2 Materials and Methods 3 Novel Per User Based Multi Threshold Scheduling Algorithm 4 Results 5 Discussion 6 Conclusion References Framework for Land Registry System Using Ethereum Blockchain 1 Introduction 1.1 Land Registry System 1.2 Limitations of Current Land Registry System 1.3 Blockchain in Land Registry System 2 Literature Survey 3 Implementation of Blockchain in Land Registry 3.1 New Transaction Block 3.2 Land Title Smart Contract 4 Land Registry Model 5 Conclusion References A Comprehensive Study of Plant Disease Detection Using Deep Learning Methods 1 Introduction 2 Literature Review 3 Methodology 4 Challenges and Future Scope 5 Conclusion References Application of a Novel Deep Learning Model to Recognize and Predict Kidney Disease in the Context of Image Processing 1 Introduction 2 Literature Review 3 Proposed System 3.1 Proposed Work 4 Experimental Result 5 Conclusion References Classification of Adulterated Food Grain Thermal Images Using Convolutional Neural Networks 1 Introduction 2 Literature Survey 3 Implementation 3.1 Dataset Creation 3.2 Dataset Augmentation 3.3 Data Preprocessing 3.4 Model Creation 3.5 Model Compilation 3.6 Model Training 4 Model Evaluation and Results 5 Future Work and Discussion References Distributed Hotel Chain Using Blockchain and Chainlink 1 Introduction 1.1 Information on the Blockchain Concept 1.2 Blockchain Current Applications 1.3 Information on Chain Link Concept 1.4 Problems Faced on Current Online System 1.5 Hotel Chain Model 2 Literature Survey 3 Implementation 4 Results 5 Conclusions References Accurate Rating System Using Blockchain 1 Introduction 1.1 Preliminaries 2 Literature Survey 2.1 Accurate Blockchain-Based Rating System 3 Methodology 4 Research Methodologies 4.1 Proposed Architecture 5 Conclusion References Approaches to Overcome Human Limitations by an Intelligent Autonomous System with a Level of Consciousness in Reasoning, Decision Making and Problem-Solving Capabilities 1 Introduction 2 Methodology 2.1 System Overall Architecture Design 2.2 Artificial Neural Network 2.3 Fuzzy Logic Algorithm in AI 2.4 Fuzzy Neural Networks 2.5 The Design of Computer Aided Art Design System 3 Results and Discussion 4 Conclusion References BBACTFM (Blockchain Based Accurate Contact Tracing Framework Model) for Tourism Industry 1 Introduction 2 Literature Review 3 Proposed System 4 Tools and Methodologies 5 Comparative Analysis of Tourist Arrivals in Domestic and International Tourism 6 Conclusion References Randomized Active Learning to Identify Phishing URL 1 Introduction 2 Related Work 2.1 Phishing URL 2.2 Active Learning in Phishing URL 3 Proposed Work 3.1 Impact of Feature Ranking 3.2 Algorithm for Randomized Active Learning 4 Experimental 5 Conclusion References Data Analysis on ERP System of Easy-Pay Payment Services 1 Introduction 2 Methodology 3 Literature Survey and Data Analysis 4 Data Visualization 5 Conclusion References Self-driving Car: Lane Detection and Collision Prevention System 1 Introduction 1.1 Scope Identification 2 Literature Survey 3 Methodology 3.1 Live Video Capture and Frame Extraction 3.2 Lane Detection 3.3 Object Detection 3.4 Collision Prevention 3.5 Face Landmarks Detection 3.6 Drowsiness Detection 3.7 Yawn Detection 3.8 Cellphone Detection 3.9 Tools 3.10 Algorithms 3.11 Flow Charts 4 Results 5 Discussion 6 Future Scope 7 Conclusion 8 Publications References A Novel Machine Learning Classification Model to Analyze the COVID-19 Pandemic’s Impact on Academics: Sentiment Analysis Approach 1 Introduction 2 Related Works 3 Statement of the Problem and Aims 4 Methodology 4.1 Text Preprocessing 4.2 A Neural Implementation of NBSVM in Keras 4.3 Creating WordID Sequences from DTM 4.4 Generating LCR of Naïve Bayes 4.5 Defining the Proposed NBSVM Model 5 Results and Discussions 6 Comparison with Existing Machine Learning Models 7 Conclusions References Implementation of Optimal Leaf Feature Selection-Based Plant Leaf Disease Classification Framework with RNN+GRU Technique 1 Introduction 2 Literature Survey 2.1 Related Works 2.2 Problem Statement 3 Proposed Plant Disease Classification Architecture 3.1 Diverse Plant Disease Datasets 3.2 Leaf Image Pre-processing 4 Leaf Image Segmentation and Feature Extraction 5 Optimal Deep Learning-Based Classification Model 5.1 Optimal Leaf Image Feature Selection 5.2 Hybrid Deep Learning-Based Classification Model 6 Results and Discussions 6.1 Experimental Setup and Performance Metrics 6.2 Leaf Image Segmentation Results 6.3 Efficacy Analysis of Implemented Model 7 Conclusion References Smart Lysimeter with Artificial Lighting & Plant Monitoring System 1 Introduction 2 Literature Survey 3 Objectives 4 Research Methodology 5 Theory 6 Testing and Analysis 7 Results and Discussions 8 Conclusion References Automatic Detection and Monitoring of Hate Speech in Online Multi-social Media 1 Introduction 2 Related Work 3 Hate Speech Detection: Implementation and Evaluation 3.1 Dataset Description and Pre-processing 3.2 Overview of a Novel “ HateDetector” System 3.3 Experimental Evaluation 4 Results 5 Conclusion and Future Work References Energy Efficient Routing in Wireless Sensor Network for Moving Nodes Using Genetic Algorithm Compared with PSO 1 Introduction 2 Materials and Methods 2.1 Genetic Algorithm 3 Statistical Analysis 4 Results 5 Discussion 6 Conclusion References Prediction of Compressive Strength of Green Concrete by Artificial Neural Network 1 Introduction 2 Materials and Method 3 Results and Discussion 4 Conclusion References Early-Stage Dementia Detection by Optimize Feature Weights with Ensemble Learning 1 Introduction 1.1 Types of Dementia 1.2 Neuroimaging Analysis for Diagnosis of Dementia 1.3 Dementia Diagnosis Using Machine Learning Techniques 2 Related Work 3 The Proposed Method 4 Result Analysis 5 Conclusion References IoT Enabled an Efficient Vehicle Parking System 1 Introduction 2 Related Work 3 Problem Statement 4 Objective 5 Proposed Methodology 6 Implementation Analysis 6.1 Arduino Board 6.2 IR Sensor 6.3 NodeMCU ESP8266 6.4 Display Unit (LCD) 6.5 RFID Tag 6.6 Details of Work 7 Analysis of Results 8 Conclusion and Future Scope References Recommendation Systems for a Group of Users Which Recommend Recent Attention: Using Hybrid Recommendation Model 1 Introduction 2 Types of Recommendation System 2.1 Work Related 3 Preliminary Conferences 4 Framework Hybrid Deep 5 Comparison Method 5.1 Group Different Performance 6 Conclusion References Face Mask Detection and Recognition with High Accuracy on Live Streaming Video Using Improved Yolo V4 and Comparing with Convolutional Neural Network 1 Introduction 2 Materials and Methods 3 Results 4 Discussion 5 Conclusion References SMART CITIES: P2P Energy Trading Using Blockchain 1 Introduction 1.1 Blockchain Makes Cities Smarter 2 Literature Survey 3 Implementation 3.1 Smart Contract for Grid-Distributed Application 4 Results 5 Conclusion 6 Future Scope References A Predictive Energy Saving Technique for 5G Network Base Stations 1 Introduction 2 Related Work 3 Evaluation of Classical Learning Techniques 4 Proposed Energy Efficient Workload Prediction 4.1 Predicting the Trends of Workload 4.2 Workload Categorization 4.3 Scheduling Algorithm 4.4 Result Analysis 5 Conclusion and Future Work References Cursor Motion Control Using Eye Tracking and Computer Vision 1 Introduction 2 Literature Survey 3 Proposed Work 3.1 Methodology 3.2 Implementation 4 Result and Discussion 5 Conclusions References IoT-Based Control System to Measure, Analyze, and Track Basic Vital Indicators in Patient Healthcare Monitoring System 1 Introduction 2 Proposed Methodology 2.1 Healthcare Monitoring Technical Measures 3 Proposed Technique’s Validation 3.1 LCD Screen 3.2 Results in GUI (Blynk Platform) 4 Experimental Results 5 Conclusions References A Comprehensive Review on Skin Disease Classification Using Convolutional Neural Network and Support Vector Machine 1 Introduction 2 Literature Review 3 Methodology 3.1 Dataset 3.2 CNN 3.3 DenseNet121 3.4 Inception V3 3.5 SVM 3.6 Alexnet 3.7 ImageNet 3.8 Xception 3.9 Transfer Learning 4 Challenges and Future Direction 5 Conclusion References Optimization of Routing Protocol for Underwater Acoustic Sensor Network Using Modified Lion Algorithm Over DPSO 1 Introduction 2 Materials and Methods 3 Statistical Analysis 4 Results 5 Discussion 6 Conclusion References COVID-19 Detection in the Images of Chest CT Scan Using K-NN in Comparison with NB Classifier to Improve the Accuracy 1 Introduction 2 Materials and Methods 2.1 NB and K-NN 2.2 Statistical Analysis 3 Results 4 Results 5 Conclusion References Deep Learning Based Dynamic Object Addition to Video Instances for Creating Synthetic Data 1 Introduction 2 Literature Survey 3 Methodology 4 Results and Analysis 5 Conclusion and Future-Scope References Improved Accuracy in Speech Recognition System for Detection of Covid-19 Using K Nearest Neighbour and Comparing with Artificial Neural Network 1 Introduction 2 Materials and Methods 2.1 K-Nearest Neighbour 2.2 Artificial Neural Network 2.3 Statistical Analysis 3 Results 4 Discussion 5 Conclusion References Role of Artificial Intelligence in the Screening of Neoplastic Oral Lesions 1 Introduction 2 Materials and Methods 3 Results 4 Discussion 5 Conclusion Appendix References Author Index