Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing: ICCIC 2022, 27–28 December, Hyderabad, India; Volume 1 (Cognitive Science and Technology)

This book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India. It covers the latest trends and developments in areas of cognitive computing, intelligent computing, machine learning, smart cities, IoT, artificial intelligence, cyber-physical systems, cybernetics, data science, neural network, and cognition. This book addresses the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications. Contents Making Cell-Free Massive MIMO Using MRC Technique 1 Introduction 2 Existing Method 3 Proposed System 4 Massive MIMO Model 5 Channel Estimation 6 Results 7 Conclusion References VIP Development of SPI Controller for Open-Power Processor-Based Fabless SOC 1 Introduction 2 The Study’s Objectives 3 UVM Testbench 4 Design of SPI 5 Verification of SPI 6 Results 6.1 Transcript Results 6.2 Waveform Results 7 Conclusion and Future Scope References Cell-Free Massive MIMO Versus Small Cells 1 Introduction 2 Exisiting System 3 Proposed System 4 Pilot Assignment and Power Control 5 Small-Cell System 6 Results 7 Conclusion and Future Scope References High-Precision Navigation Using Particle Swarm Optimization-Based KF 1 Introduction 2 Methods 2.1 Kalman Filter 2.2 Particle Swarm Optimization 2.3 Optimal Parameters into Kalman Filter 3 Results 4 Discussions 5 Conclusion and Future Work References Recent Advancements for Detection and Prediction of Breast Cancer Using Deep Learning: A Review? 1 Introduction 1.1 X-ray Mammography 1.2 Ultrasound Imaging 1.3 Magnetic Resonance Imaging (MRI) 1.4 Machine Learning Concepts 1.5 Literature Review 2 Conclusion References Ensemble Decision Fusion of Deep Learning Classifiers for Heart Disease Classification 1 Introduction 2 Literature Survey 3 Ensemble Decision Fusion 3.1 Deep Learning ECG-Based CNN (C1) 3.2 DFT Feature-Based CNN Classifier (C2) 3.3 TQWT Feature-Based CNN Classifier (C3) 3.4 Db4-Based CNN Classifier (C4) 3.5 Ensemble Decision Fusion 4 Results 5 Conclusion References Implementation of Automatic Vending Machine Using FPGA 1 Introduction 2 Proposed Work 3 Design Methodology 4 Results and Discussions 5 Conclusion References Automatic Vehicle Signal Enabling System 1 Introduction 2 Problem Definition 3 Related Work 4 Design of Proposed System 4.1 Software Tier 4.2 Hardware Tier 4.3 Java Script Libraries Used 5 Methodology of the Proposed System 5.1 Software for User Interface 5.2 Integration of User Interface with Hardware 5.3 Hardware (Raspberry Pi3) 5.4 Cross Checking with Directions 6 Experimental Results and Discussions 6.1 Applications 7 Conclusion References Study Report of Tor Antiforensic Techniques 1 Cybercrime 2 Antiforensic Services on TOR 2.1 TOR Browser 2.2 Encryption 2.3 Onion Routing 3 Analysis of Deanonymization Techniques 3.1 Traffic Analysis 3.2 Bridge Discovery 3.3 Other Approaches 3.4 Pluggable Transports 4 Proposed Model 5 Conclusion References Analysis of Underlying and Forecasting Factors of Type 1 Diabetes and Prediction of Diabetes Using Machine Learning 1 Introduction 2 Related Work 3 Proposed Method 4 Conclusion and Future Discussion References An Enhancement in Crypto Key Generation Using Image Features with CRT 1 Introduction 2 Related Work 3 Methodology 3.1 Key Generation Technique 3.2 Methodology 3.3 Experimental Results 4 Conclusion and Future Scope References Study of Transfer Learning Models for Disposition-Based Music Recommendation Systems 1 Introduction 2 Related Work 2.1 Existing Systems 3 Proposed System Architecture 3.1 Architecture 4 Implementation 4.1 Dataset Collection 4.2 Preprocessing 4.3 Model Construction 4.4 Training Model 5 Experimental Results 5.1 Graphs 6 Conclusions and Future Scope References Detecting Anomalies in the Virtual Machine Using Machine Learning Techniques 1 Introduction 2 Related Work 3 Proposed Technique Using Machine Learning Approaches 4 Results and Discussion 5 Conclusion References Human Facial Image Generation from Textual Descriptions Using StyleGAN 1 Introduction 2 Related Work 3 Proposed Methodology 3.1 Text Preprocessing 3.2 Random Sampling 3.3 StyleGAN Inversion 3.4 CLIP Loss Function 3.5 Image Generation 3.6 Algorithm StyleGAN Inversion 4 Result and Analysis 5 Conclusion and Future Work References Rumour Detection Model for Political Tweets Using ANN 1 Introduction 1.1 Background Knowledge 1.2 Problem Statement 2 Literature Survey 3 Proposed Rumour Detection System Using ANN 4 Conclusion and Future Scope References Face Detections of a Person Wearing COVID Mask Using Multi-task Cascaded Convolutional Neural Networks 1 Introduction 1.1 Face Detection 2 Convolution Neural Network 3 Proposed System 4 Experimental Results 4.1 Observation 5 Conclusion References Classification of Fruit Essential Oils Using Machine Learning Practices 1 Introduction 2 Essential Oil Extraction Methods 2.1 Classical and Conventional Essential Oil Extraction Methods 2.2 Non-traditional Essential Oil Extraction Methods 3 Quality Assessment of Essential Oils 3.1 Factors and Parameters 3.2 Gas Chromatography and Mass Spectrometry 4 Machine Learning Practices for Essential Oil Classification 5 Results and Analysis 6 Conclusion and Future Work References Detecting, Analyzing, and Evaluation of Vulnerabilities Using Metasploitable 1 Introduction 2 Related Work 3 Research Method 3.1 Metasploit Framework 4 Result and Discussion 5 Conclusion References An Enhanced Machine Learning Technique to Predict Heart Disease 1 Introduction 1.1 Objectives and Motivation 2 Literature Work 3 Methodology 3.1 Proposed Work Flow 3.2 Heart Disease Prediction Data Set 4 Results and Discussion 5 Conclusion and Future Work References 3D Vision Transformer for Cervical Spine Fracture Detection and Classification 1 Introduction 2 About the Dataset 2.1 Dataset Description 3 Dataset Preparation 4 Methodology 4.1 Encoder Mechanism 4.2 Self-attention Mechanism 4.3 Multi-head Attention 4.4 Model 5 Performance Results 6 Conclusions and Further Discussions References Crop Disease Detection Using NLP and Deep Learning 1 Introduction 2 Dataset Description 3 Methodology 3.1 Pests and Diseases Recognition 4 Evaluation and Results Analysis 5 Conclusion and Future Scope References Design of a Virtual Mouse for Hand Gesture Recognition and Characterization 1 Introduction 1.1 Introduction 1.2 Problem Statement 1.3 Existing System 1.4 Disadvantages 1.5 Proposed System 1.6 Advantages 2 Components 3 Mechanisms 4 Design 5 Implementation 6 Results and Discussions 7 Conclusions and Future Scope 7.1 Conclusion 7.2 Future Scope References Voice-Activated System for Disabled People Using IoT 1 Introduction 2 Literature Survey 3 Proposed System 4 Objectives 5 Methodology 6 Implementation 7 Results 8 Conclusion References SLRNetwork: Utilizing Skip Connections for Better Feature Extraction in Recognition of Sign Languages to Help Mutism 1 Introduction 2 Related Work 3 Methodology 4 Result Analysis 4.1 Data Set 4.2 Metrics 4.3 Training Details 4.4 Experimental Details 5 Conclusion and Future Works References Social Harassments Cyberbullying Detection Using Machine Learning 1 Introduction 2 Related Work 3 Problem Statement 4 Proposed Methodology 5 Dataset 6 Result Analysis 7 Conclusion References Smart Parking System Using Raspberry Pi 1 Introduction 2 Related Work 3 Implementation 4 Components Required 5 Circuit Diagram 5.1 Flowchart 6 Results Analysis 7 Conclusion References Home Devices Controlling and Monitor System Using IoT 1 Introduction 2 Motivation and Scope of Work 3 Problem Statement 4 Literature Review 5 Project Description 5.1 Transmitter 5.2 Receiver 5.3 Flowchart 5.4 Design of TFT Touch Screen 5.5 Interfacing Transmitter 5.6 Interfacing Receiver 6 Results and Discussion 7 Conclusion References Dynamic Text Generation from Sign Language—Review 1 Introduction 2 Literature Survey 3 Methodology and Algorithm 3.1 Input Video 3.2 Preprocessing 3.3 Model Training 3.4 Testing Gestures 4 Conclusion and Future Scope References Utilizing Deep Natural Language Processing to Detect Plagiarism 1 Introduction 2 Literature Survey 3 Existing Methodology 3.1 Limitation of Existing System 4 Proposed Methodology 5 Proposed Deep Natural Language Processing Model 6 Result and Discussion 7 Conclusion References Pocket-Pi a Low-End Learning and Deploying Tool for Intelligent Systems and IOT 1 Problem Statement 2 Related Work 3 Proposed Device 3.1 Hardware Unit 4 Results 5 Conclusion and Future Work Implementation of Massive MIMO Technology with Artificial Intelligence Assisted Deep Learning Convolutional Neural Network (DLCNN)-Based Channel Estimation 1 Introduction 2 Literature Review 3 Design Methodology 3.1 DLCNN Channel Estimation 4 Results and Discussion 5 Conclusion References A Review on Sign Language Recognition Techniques 1 Introduction 2 Literature Survey 3 Methodology 4 Result Analysis 5 Conclusion References Review on 3D Model Generation Through Natural Language and Image Processing 1 Introduction 2 Literature Review 3 Methodologies and Results 3.1 Text-to-3D Generation 3.2 Enhanced Edge Detection Techniques to Achieve Pixel-Level Accuracy 3.3 Size-Invariant 3D Generation from a Single 2D Rock Image 4 Applications of 3D Models 5 Conclusion, Challenges, and Future Work References Care A Pet—Android Pet Care Application 1 Introduction 2 Literature Survey 3 Proposed System 3.1 Architecture 3.2 Methodology 3.3 Algorithm 4 Results and Analysis 5 Conclusion References Structure Learning of Bayesian Network from the Data 1 Introduction 1.1 Structure Learning 2 Proposed Algorithm 3 Calculate Bayesian Score for Each Structure 3.1 Data Preprocessing 4 Goodness Fit of the Model 5 Conclusion References Self-adaptive Bald Eagle Search for Energy Efficient Load Balancing in Cloud System 1 Introduction 2 Literature Review 3 Suggested VM Consolidation Method in Cloud 3.1 VM Consolidation Architecture 3.2 Introduction to SA-BES Algorithm for Optimal VM Allocation 3.3 VM Migration Through PCC 4 Results and Discussion 4.1 Performance Analysis on SA-BES When the Number of VM is 1516 4.2 Performance Analysis on SA-BES When the Number of Host is 800 5 Conclusion References Survey on Estimation of Body Mass Index Using Facial Images 1 Introduction 2 Prior Work 3 Datasets 4 Methodology 5 Result Analysis 6 Summary 7 Conclusion References Detecting Security Breaches on Smart Contracts Through Techniques and Tools a Brief Review: Applications and Challenges 1 Introduction 2 Smart Contract Vulnerabilities 2.1 Smart Contract Attacks 3 Testing Tools/Techniques 4 Use Cases and Future Directions 4.1 Smart Contract Based Use Case 4.2 Challenges and Future Scope 5 Conclusion References Automating Fish Detection and Species Classification in Underwaters Using Deep Learning Model 1 Introduction 2 Literature Survey 3 Species Classification 4 Proposed Dataset 5 Proposed Methodology 5.1 Fish Detection Phase 5.2 Classification Phase 6 Experimental Results 7 Conclusion References Explorative Analysis of Factors Influencing Alcohol Risk Level Based on Epidemiological Data and Prediction Using Machine Learning Techniques 1 Introduction 2 Methodology 3 Experiments and Results 3.1 Pre-processing 3.2 Explorative Analysis of the Data 4 Risk Level Prediction Model Building and Evaluation 5 Conclusion References A Real-Time Hadoop Big Data Maintenance Model Using a Software-Defined and U-Net Deep Learning Mode 1 Introduction 2 Literature Survey 3 U-Net Deep Learning-Based Hadoop Maintenance 4 Results and Discussion 5 Conclusion References Efficient Model for Predicting Cyber Hacking Breaches 1 Introduction 2 Related Work 3 Proposed Method 3.1 Upload Data 3.2 Access Details 3.3 User Permissions 3.4 Data Analysis 3.5 Algorithm 4 Results and Analysis 5 Conclusion References Detection of Cyberbullying in Social Media Using Machine Learning Techniques 1 Introduction 2 Purpose 3 Existing System 4 Areas of Concern 5 Literature Survey 6 Proposed System 7 Implementation 8 Result 9 Conclusion References Animal Encroachment Detection in Farms: A Survey 1 Introduction 2 Literature Survey 3 Methodology and Approaches 4 Result Analysis 5 Applications 6 Conclusion, Challenges and Future Scope References The Prediction of Attacks and Challenges in Cyber Security Using Machine Learning Techniques 1 Introduction 2 Types of Cyber-Attacks 2.1 Zero-Day Attack 2.2 Man-in-the-Middle Attack (MitM) 2.3 Web Access Compromise 2.4 Malware Attack 2.5 Denial of Service (DoS) 3 Techniques and Tools for Machine Learning 4 Commonly Used Machine Learning Techniques 4.1 Support Vector Machine 4.2 Decision Tree 4.3 K-Nearest Neighbor 4.4 Random Forest 4.5 Naive Bayes 4.6 Artificial Neural Network 5 Current Scenario of Machine Learning in Cyber Security 6 Challenges of Using Machine Learning Techniques for Cyber Security 7 Other Challenges of Using Machine Learning for Cyber Security 7.1 Datasets 7.2 Evaluations Metrics 7.3 Detection and Time Complexity of Various Techniques 8 Conclusion References Stock Forecasting Using Multichannel CNN and Firefly Algorithm 1 Introduction 2 Literature Survey 3 Methodology 3.1 Dataset Description 3.2 CNN and MCNN 3.3 Firefly Algorithm 4 Results 5 Conclusion References EDAMOD: Edge Detection and Moving Object Detection Algorithm to Control Traffic Lights Dynamically 1 Introduction 2 Literature Survey 3 Methodology 4 Results 5 Conclusion References Student Monitoring System Using Deep Learning 1 Introduction 2 Literature Survey 3 Methodology 4 Result Analysis 5 Conclusion References Sharing Logistic Information Files Securely Using Cryptographic Algorithms AES and SHA 1 Introduction 2 Literature Survey 3 Proposed Methodology 3.1 Uploading and Encrypting the File 3.2 Using SHA-256 on the Encrypted Data 3.3 Decrypt and Downloading the File 4 Results and Analysis 5 Conclusion and Future Work References SVM-Based Vehicle Number Plate Detection and Recognition 1 Introduction 2 Vehicle Codes for Indian States 3 Related Work 4 Methodology 5 Results 6 Conclusion and Future Scope References Enhanced Adaptive Multi-level Clustering of Long Tail Items 1 Introduction 2 Related Work 3 Multilevel Clustering of Correlation Connected Clusters 3.1 Algorithm: EADCCC-LT-MuL 3.2 Experimental Evaluation 3.3 Result Analysis 4 Performance 5 Summary References UDP Flood DDoS Attack Detection Using Multilayer Perceptron Different Optimization Techniques with Pearson, Spearman and Kendall Uncorrelated Feature Subsets 1 Introduction 2 Methodology 3 Results and Discussion 4 Conclusion References Intelligent Ensemble Algorithm for Feature Selection and Effective Prediction for Heart Disease Using SVM and KNN 1 Introduction 2 Literature Review 3 Methodology and Modeling 4 Conclusion References Efficient Brain Tumour Classification Using Parameter Optimized CNN with Dingo Optimizer Concept 1 Introduction 2 Literature Survey 2.1 Related Works 2.2 Problem Statement 2.3 Proposed Model- Brain Tumour Classification Enabled by Proposed Deep Learning 2.4 Brain Tumour Classification Dataset 3 Pre-processing and Classification of Brain Tumour Using Parameter Optimized CNN 3.1 MRI Image Pre-processing 3.2 CNN-Based Classification 3.3 DOX-CNN-Based Classification 4 Results and Discussions 4.1 Experimental Analysis 4.2 Image Results 4.3 Performance Measures 4.4 Analysis of Performance on Algorithms 4.5 Performance on Traditional Learning Models 4.6 Performance on Algorithms 4.7 Performances on Traditional Learning Models 5 Conclusion References Predicting the Presence of Lung Cancer Using Functional Networks 1 Introduction 2 Literature Review 3 Functional Networks (FN) 4 Data Collection 5 Results and Discussion 6 Conclusion References Lung Cancer Detection Through Deep Neural Networks Using CT Scan Images 1 Introduction 2 Related Works 3 Problem Statement 4 Existing System 5 Proposed Method 6 Experimental Results 6.1 Dataset Description 7 Conclusion and Future Work References A Best Price Web Scraping Application for E-commerce Websites 1 Introduction 2 Related Work 3 Proposed System 4 Implementation 5 Experimental Results 6 Conclusion and Future Work References GAN-Based Handwritten Digit Recognition System 1 Introduction 2 GAN-Generative Adversarial Networks 3 Results 4 Conclusions References Pending Receipts RPA Bot 1 Introduction 1.1 Problem Statement 2 Literature Survey 3 Methodology 4 Activity Flow and Architecture Diagram 5 Results 6 Conclusion References Abstractive Text Summarizer Using Neural Networks Algorithms 1 Introduction 2 Dataset 3 Methodology 4 Outliers Detection and Treatment 5 Normalization 6 Results Analysis 7 Conclusion References Evaluation of Tongue Articulation in Children for Malayalam Vowels Utterance 1 Introduction 1.1 Malayalam Vowel Classification 2 Methods 2.1 Dataset and Feature Extraction 2.2 Training and Testing 3 Result and Discussion 4 Conclusion References E-Learning on Semantic Web 1 Introduction 1.1 Growth of E-Learning 1.2 Semantic Web 2 Semantic Web for E-Learning 3 Related Work 4 SemELearn: A Semantic Web Based E-Learning System 5 Implementation 6 Conclusions References A Survey on Collaborative and Effective Implementation of Augmented Reality (AR) Interactive Learning Application 1 Introduction 2 Augmented Reality in Education 3 Literature Survey 4 Tools and Technologies 5 Methodology 5.1 Set up the Required Software 5.2 Create User Interfaces 5.3 Importing Assets 6 System Architecture 7 Conclusion References Novel Ill-Defined Based MCDM Technique to Make Effective QoS Using Cloud Service Selection 1 Introduction 2 Literature Survey 3 Problem Definition 4 Proposed Methodology 5 Performance Analysis 6 Conclusion References Cluster Query Optimization Technique Using Blockchain 1 Introduction 2 Query Optimization 3 Query Optimization Using Blockchain 4 Services of Query Optimization Using Blockchain 5 Experimental Results 6 Conclusion References A Novel Image Encryption Technique for Grey and Color Digital Images 1 Introduction 2 The Proposed Method 2.1 Encryption 2.2 Decryption 3 Simulation Results 3.1 Encryption Efficiency Analysis 4 Conclusion References A Deep Learning Model to Detect People and Monitor Social Distance 1 Introduction 2 Methodology 2.1 Three Stage Model 2.2 Object Detection 2.3 YOLO (You Only Look Once) Model 2.4 Centroid-Based Object Tracking 3 Results and Discussion 4 Conclusion References An Empirical Review on Secure Edge Computing Architecture 1 Introduction 2 Overview of Secure Edge Computing 2.1 Lagrange Code Computing 2.2 Contextual Combinatorial Multi Armed Bandit (CC-MAB) for Coded-Edge Computing 2.3 Optimal Offline Policy 2.4 Online Coded-Edge Computing Policy 3 Literature Survey 4 Conclusion and Future Work References Rumour Detection in the Political Domain from Twitter Using Machine Learning Techniques 1 Introduction 1.1 Background Knowledge 1.2 Problem Statement 2 Literature Survey 3 Proposed Rumour Detection Model with ANN 4 Experimental Analysis and Comparative Results 4.1 Pre-processing Stage 4.2 Results and Comparative Analysis 5 Conclusion and Future Scope References Review on Recent Advances in Text Summarization Techniques 1 Introduction 2 Literature Review 3 Conclusion References IoT-Enabled Applications for Elderly Support and Care: A Systematic Review 1 Introduction 2 Background and Motivation 3 IoT Architecture for Healthcare Applications 4 IoT Devices for the Elderly 4.1 Healthcare Monitoring 4.2 Treatment Providing Devices 4.3 Safety and Comfort 5 Conclusion References A Review on Federated Learning-Based Network Intrusion Detection System 1 Introduction 2 Literature Survey 3 Methodology 4 Result Analysis 5 Conclusion References High-Resolution Image Inpainting Using Generative Adversarial Networks 1 Introduction 2 Related Study 3 Proposed Approach 3.1 Implementation Details 3.2 Data Sets 3.3 Real Applications 4 Conclusion References Intelligent Monitoring and Analyzer for Plant Systems 1 Introduction 2 Literature Survey 3 Existing Method 4 Proposed Method 4.1 Raspberry Pi3 B+ 4.2 DHT-22 4.3 Soil Moisture 4.4 Camera 4.5 Jumper Wires 4.6 Convolution Neural Network 4.7 Dataset 5 Result and Discussions 6 Conclusion and Future Scope References Intelligent Alert System for Women Security 1 Introduction 2 Existing Systems 3 Proposed System 3.1 Methodology 3.2 Objectives of the Project 3.3 Architecture 3.4 Module Design 4 Implementation of the Modules 4.1 Data Sets Use 4.2 Technologies Used 4.3 Algorithm 5 Results and Discussions 5.1 Performance Measures 5.2 Outputs 6 Conclusions and Future Enchancements 6.1 Conclusion 6.2 Future Enchancements References Emotion Detection on Twitter Text Using Machine Learning Techniques with Data Augmentation 1 Introduction 2 Literature Study 3 Proposed Method 3.1 Dataset Preprocessing 3.2 Data Augmentation 4 Results 5 Conclusion References Leaf Disease Prediction and Detection Using CNN 1 Introduction 2 Literature Review 2.1 Proposed Method 2.2 Dataset Description 3 Implementation 3.1 Problem Definition 3.2 Detection with Image 3.3 Detection with Camera 3.4 Build CNN Model 4 Results and Discussion 5 Conclusion and Future Work 5.1 Conclusion 5.2 Future Work References Implementation of a Hybrid Movie Recommendation System for Large-Scale Data 1 Introduction 1.1 Content-Based and Collaborative-Based Recommendation System 1.2 Hybrid Recommendation System 1.3 Parallelization 2 Recommendation Using Clustering 2.1 CURE 2.2 Data Pre-processing 2.3 Feature Reduction 3 Proposed System 3.1 Scaling up the Process to 1000 User’s Dataset 3.2 Algorithm 3.3 Workflow of Hybrid Recommendation System 3.4 Steps Followed in Recommendation System 4 Conclusion and Future Work References