Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems : 7th IFIP TC 12 International Conference, ICCCSP 2023, Chennai, India, January 4–6, 2023, Revised Selected Papers

This book constitutes the refereed proceedings of the 7th International Conference on Computer, Communication, and Signal Processing, ICCCSP 2023, held in Chennai, India, during January 4–6, 2023, in hybrid mode. The 17 full and 9 short papers presented in this volume were carefully reviewed and selected from 123 submissions. The papers are categorized into topical sections: artificial intelligence in health care; machine learning and deep learning; signal processing; and Internet of Things for smart systems. Preface Organization Contents Artificial Intelligence in Health Care Early Stage Prediction Model of Autism Spectrum Disorder Traits of Toddlers 1 Introduction 2 Related Work 3 Methodology 3.1 Data Preprocessing 3.2 Feature Selection 3.3 Classification 3.4 Performance Metrics 4 Experimental Result 5 Discussion 6 Conclusion References Detection and Estimation of Diameter of Retinal Vessels 1 Introduction 2 Methodology 2.1 Estimation of Diameter of Retinal Vessel Based on Morphological Operation 2.2 Diameter Calculation Based on Center Line 2.3 Measurement of Retinal Vessel Thickness Based on Minimum Line Integrals 3 Result and Discussion 4 Conclusion and Future Direction References Automated Summarization of Gastrointestinal Endoscopy Video 1 Introduction 2 Methodology 2.1 CNN Model 2.2 Description of the Dataset 2.3 Model Training Details 3 Experimental Results 4 Conclusion References Interpretation of Feature Contribution Towards Diagnosis of Diabetic Retinopathy from Exudates in Retinal Images 1 Introduction 2 Related Work 3 Proposed Methodology (SHAP-DFHE-MR Model) 3.1 Preprocessing 3.2 Optic Disc Segmentation 3.3 Exudates Detection 3.4 Feature Extraction and Classification 3.5 SHAP Tree Explainer Interpretation 4 Datasets 5 Results and Discussion 5.1 Performance Evaluation of Segmentation of Exudates 5.2 Performance Evaluation of Classification 5.3 Analysis of Explainability 6 Conclusion References False Positive Reduction in Mammographic Mass Detection 1 Introduction 2 Literature Survey 3 Proposed Methodology 3.1 Dataset Description 3.2 Data Pre-processing 3.3 False Positive Reduction in Density-Specific Mass Detection Model 4 Results and Discussion 4.1 Pre-processing and Segmentation 4.2 False Positive Reduction in Density-Specific Mass Detection Model 5 Conclusion References An Efficient and Automatic Framework for Segmentation and Analysis of Tumor Structure in Brain MRI Images 1 Introduction 2 An Efficient and Robust Framework 2.1 SVM Classifier for Classification of MRI Dataset 2.2 Watershed Method Technique for Tumor Region Extraction 2.3 Analysis and Diagnosis of Tumor Structure with EM-GM Method 3 Results and Discussion 4 Conclusion References Machine Learning and Deep Learning Collaborative CNN with Multiple Tuning for Automated Coral Reef Classification 1 Introduction 2 Related Works 3 CNN Architectures 3.1 M1 Model 3.2 M2 Model 4 Ensemble Method of Averaging 5 Experiment and Analysis 5.1 Dataset Used 5.2 Performance Analysis 5.3 Modified CNN Architectures 6 Conclusion References Analysis of Optimum 3-Dimensional Array and Fast Data Movement for Efficient Memory Computation in Convolutional Neural Network Models 1 Introduction 2 Analysis of 3-dimensional Feature Array Size and Data-Flow Movement Scheduling Strategy 2.1 Choosing the Optimum 3D Feature Array (Fa) 2.2 Data-Flow Scheduling Using 8 × 8 × 32 3D Feature Array 3 Simulation Results and Discussion 3.1 Evaluation of 3-D Feature Array (Fa) for the CNN Model 3.2 Analysis and Evaluation of Strategies for the CNN Layer 4 Conclusion References Generation Z’s Satisfaction with Artificial Intelligence Voice Enabled Digital Assistants 1 Introduction 2 Literature Review 3 Research Methodology 4 Data Analysis and Discussion 5 Conclusion Appendix 1. Constructs Measurement Items References Deep Learning Models for Automatic De-identification of Clinical Text 1 Introduction 2 Clinical De-identification Process 2.1 Pre-processing 2.2 Word Embeddings 2.3 Label Prediction Layer 2.4 Label Sequence Optimization 3 Datasets 4 Limitations 5 Discussion 6 Conclusion References Forecast of Movie Sentiment Based on Multi Label Text Classification on Rotten Tomatoes Using Multiple Machine and Deep Learning Technique 1 Introduction 2 Methodologies 2.1 Dataset Used 2.2 Data Investigation 2.3 Data Pre-processing 2.4 n-grams and Tf-idf Vectorizer 2.5 Machine Learning (ML) 2.6 Deep Learning (DL) 3 Experiments and Results 4 Conclusions References An Ensemble Approach to Hostility Detection in Hindi Tweets 1 Introduction 2 Related Work 3 Proposed Methodology 3.1 Dataset 3.2 Preprocessing 3.3 Model 4 Results 5 Conclusion References An Optimized Framework for Diabetes Mellitus Diagnosis Using Grid Search Based Support Vector Machine 1 Introduction 2 Literature Works 3 Methodology 3.1 Data Preprocessing 3.2 Feature Selection 3.3 Bio-Inspired Computing for Feature Selection 3.4 Binarized Whale Optimization Algorithm 3.5 Binarized Grey Wolf Optimization 3.6 Classifier 4 Results and Discussions 4.1 Performance Metrics 4.2 Dataset Description 4.3 Features Selection 5 Conclusion References Signal Processing Inquisition of Vision Transformer for Content Based Satellite Image Retrieval 1 Introduction 2 Related Work 3 Deep and Vision Transformer Based Feature Extraction 3.1 Feature Extraction 3.2 Matching and Retrieval 3.3 Dataset Details 3.4 Evaluation Metric 3.5 Implementation Details 4 Experiments Results 4.1 Results 4.2 Precision Recall Plots 4.3 Time 5 Conclusion References Impact of Spectral Domain Features for Small Object Detection in Remote Sensing 1 Introduction 2 Related Works 2.1 Object Detection 2.2 Multi-scale Object Detection 2.3 Small Object Detection 2.4 Spectral Context-Fourier Transform and Wavelet Transform 3 Methodology 3.1 Detailed Overview of Our Approach 4 Experiments 4.1 Dataset 4.2 Implementation Details 5 Results 6 Conclusion References Application of Phonocardiogram and Electrocardiogram Signal Features in Cardiovascular Abnormality Recognition 1 Introduction 2 Related Work 2.1 Heart Signal Classification and usage of the PhysioNet/CinC Dataset 2.2 Contributions 3 Signals in Medical Domain Data 3.1 PCG Signals 3.2 ECG Signals 4 Proposed Methodology 4.1 PCG Signals 4.2 ECG Signals 4.3 Hybrid Feature Approach 5 Performance of the Models 6 Result and Conclusion 7 Future Scope References Analyzing Cricket Biomechanical Parameters Through Keypoint Detection and Tracking 1 Introduction 2 Literature Review 3 Some Biomechanical Parameters 3.1 Backlift Angle 3.2 Downswing Angle 4 The Dataset 4.1 The Model 4.2 Architecture Details 5 Conclusion References Multi-feature Based Sea–land Segmentation for Multi-spectral and Panchromatic Remote-Sensing Imagery 1 Introduction 2 Related Work 3 Theory 3.1 CMYK Color Space 3.2 HSV Color Space 3.3 Gabor Feature 3.4 Otsu Segmentation 3.5 Gray Connectedness 3.6 Morphological Operations 4 Proposed Method 5 Experimental Results 6 Conclusion References Internet of Things for Smart Systems Deoxyribonucleic Acid Cryptography Based Least Significant Byte Steganography 1 Introduction 2 Motivation 3 Literature Survey 4 Proposed Method 4.1 DNA Cryptography 4.2 Encryption 4.3 Algorithm Selection 4.4 LSB Steganography 4.5 DNA Decoding 5 Results and Analysis 5.1 Dataset 5.2 Performance Metrics 5.3 Analysis and Result 5.4 Comparative Analysis 6 Conclusion References A Simple Hybrid Local Search Algorithm for Solving Optimization Problems 1 Introduction 2 Optimization Problem Statement 3 New Hybrid Local Search Algorithm (FP-AB) 4 Benchmark Functions 5 Computational Results and Analysis with Other Algorithms 6 Statistical Analyses 7 Conclusions, Limitation and Future Work References Performance Study of RIS Assisted NOMA Based Wireless Network with Passive IoT Communication 1 Introduction 2 System Model 2.1 Outage Probability 2.2 Ergodic Rate 3 Results and Discussion 4 Conclusion References Multi-channel Man-in-the-Middle Attacks Against Protected Wi-Fi Networks and Their Attack Signatures 1 Introduction 2 Background 2.1 MC-MitM Attack Setup 2.2 MC-MitM Base Variant Attack 2.3 MC-MitM Improved Variant Attack 3 MC-MitM Attack Traffic Analysis 4 MC-MitM Attack Signature Creation 4.1 Assumptions 4.2 Reference Scenario 4.3 Stage 1 Attack Traffic Signatures 4.4 Stage 2 Attack Traffic Signatures 4.5 Summary of Attack Traffic Signatures 4.6 Discussion 5 Conclusions and Future Works References A Study in Analysing the Critical Determinants of Internet of Things (IoT) Based Smart Processing for Sustainable Supply Chain Management 1 Introduction 2 Review of Literature 3 Research Methodology 3.1 Research Hypothesis 4 Analysis and Discussion 4.1 Percentage Analysis 4.2 Correlation Analysis 4.3 Chi Square Test 5 Conclusion References IOT Enabled Rover for Remote Survey of Archeological Areas 1 Introduction 2 Literature Review 3 Methodology 3.1 Mechanical Parts 3.2 Algorithm 3.3 Powertrain Design 3.4 IOT Enabling 3.5 Prototype 4 Results and Discussions 5 Limitations and Future Scope 6 Conclusion References An Embedded System for Smart Farming Using Machine Learning Approaches 1 Introduction 2 Related Works 3 Methodology 3.1 Block Diagram 4 Machine Learning Algorithms 4.1 Support Vector Machine (SVM) 5 Experimentation 6 Results and Analysis 7 Conclusion References An Intrusion Detection System for Securing IoT Based Sensor Networks from Routing Attacks 1 Introduction 2 Literature Survey 3 Proposed Methodology 3.1 Proposed System Architecture 3.2 Intrusion Detection System 4 Results and Discussion 5 Conclusion References Author Index