Big Data Analytics in Astronomy, Science, and Engineering : 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5–7, 2022, Proceedings

This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in a hybrid mode during December 2022 in Aizu, Japan. The 14 full papers included in this volume were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: big data analytics, networking, social media, search, information extraction, image processing and analysis, spatial, text, mobile and graph data analysis, machine learning, and healthcare. Preface Organization Contents Data Science: Systems Ontology Augmented Data Lake System for Policy Support 1 Introduction 2 Existing Data Lake Technologies 3 Proposed System 3.1 Data Lake 3.2 Exploratory Data Analytics 3.3 Policy Enunciation 4 Conclusions 5 Future Direction References Explorations in Active Learning Applied to Image Classification 1 Introduction 2 Active Learning – Introduction and Literature Review 3 Datasets and Experimental Setup 3.1 Preprocessing 3.2 Model Architecture 4 Experimental Results 4.1 Experiments with CIFAR-10 Dataset 4.2 Experiments with CIFAR-100 Dataset 4.3 Experiments with Caltech-256 Dataset 5 Concluding Remarks References Discovery of Small Signals in Big Backgrounds 1 Introduction 2 The Curse of Dimensionality 3 Criterion for Discovery 4 Application to Particle Physics 5 Further Thoughts 6 Conclusion References Neuro-Symbolic Regression with Applications 1 Introduction 2 Problem Statement 2.1 Function Class 2.2 Expression Tree Representation 3 Zeroth-Order Optimization Problem 4 Transformer Neural Network for Symbolic Regression 5 Physics Application 6 Conclusion References Data Science: Architectures Introducing Federated Learning into Internet of Things Ecosystems – Maintaining Cooperation Between Competing Parties 1 Introduction 2 Federated Learning Use Case in IoT Deployment 3 Related Work 3.1 Data Privacy in Federated Learning 3.2 Security in Federated Learning 3.3 Data Transformations in Federated Learning 4 Assist-IoT Federated Learning Architecture 5 Federated Learning in IoT Ecosystems 5.1 Data Transformation 5.2 Privacy and Security 6 Concluding Remarks References Blockchain Based B-Health Prototype for Secure Healthcare Transactions 1 Introduction 1.1 Blockchain 1.2 Cryptography 1.3 Web 3.0 2 Literature Survey 3 Problem Statement 3.1 Approach to Problem in Terms of Technology 3.2 Requirements 3.3 Proposed Methodology 3.4 Implementation Details and Issues 4 Results and Conclusions 5 Future Work Appendix References A Blockchain-Based Approach for Audit Management of Electronic Health Records*-12pt 1 Introduction 2 Related Works 3 Proposed System 3.1 System Architecture 3.2 Proposed System Implementation 4 Benefits of Proposed Architecture 5 Challenges and Discussion 6 Summary and Conclusions References Sentinel: An Enhanced Multimodal Biometric Access Control System 1 Introduction 2 Motivation 3 Proposed System Architecture 4 Proposed System Design Methodology 4.1 Facial Detection and Recognition Using OpenCV 4.2 A Facial Emotion Recognition Using CNN Model 4.3 Speaker Recognition Using Fast Fourier Transformation and CNN 4.4 Phrase Detection Using Google Speech to Text API 4.5 Environmental Threat Detection Using OpenCV and YOLO Model 5 Experimental Setup and Flow 6 Implementations and Results 6.1 Registration Time 6.2 Entry Time 6.3 Model Accuracy 6.4 Privacy Aspect 7 Conclusion References Big Data Analytics in Healthcare Support Systems A Programmatic Solution to Stop Heartbleed Bug Attack 1 Introduction 2 Literature Review 3 Proposed System 3.1 Types of Messages 3.2 Rectified Code 3.3 Flow Chart 4 Architecture and Implementation 5 Conclusion References A Short Review on Cataract Detection and Classification Approaches Using Distinct Ophthalmic Imaging Modalities 1 Introduction 2 Literature Survey 2.1 Analysis of Ophthalmic Imaging Modalities for Cataract Detection and Classification 2.2 Machine Learning Techniques 2.3 Deep Learning Techniques 3 Conclusions and Recommendations 4 Future Work References Automatic Identification of Cataract by Analyzing Fundus Images Using VGG19 Model 1 Introduction 2 Literature Survey 3 Cataract Detection Using VGG19 Model 4 Input Dataset 5 Experimental Results 5.1 Results for the SGD Optimizer 5.2 Results for the AdaGrad Optimizer 5.3 Results for the AdaDelta Optimizer 5.4 Results for the Adam Optimizer 6 Concluding Remarks References Sensors Based Advanced Bluetooth Pulse Oximeter System 1 Introduction 2 Design and Implementation 3 Applications 4 Proposed System 5 Architecture and Methodology 6 Results and Discussion 7 Conclusion 8 Future Scope References Information Interchange of Web Data Resources Saral Anuyojan: An Interactive Querying Interface for EHR 1 Introduction 1.1 OpenEHR 1.2 Archetype 1.3 Archetype Definition Language 1.4 Archetype Query Language 2 Related Work 3 Proposed Methodology 3.1 Proposed Methodology 3.2 Architecture 4 Implementation and Results 4.1 Hardware and Software Requirements 4.2 Implementation Diagram 4.3 Testbed 4.4 Results 5 Conclusions References Integrated Transmission and Distribution Modelling Using Multi-agent Based Framework*-12pt 1 Introduction 2 Overview of Multi-agent Based System for Integrated TS and DS Analysis 3 Modelling of the Active Distribution System and Integrated TS and DS System 3.1 Solar PV-Based der Modelling 3.2 Prosumer Modeling 3.3 TS and DS Modelling 4 Problem Formulation 4.1 TS Level 5 Case Study 6 Conclusion and Future Work References Incremental SVD-Based Hybrid Movie Recommendation to Improve Content Delivery Over CDN 1 Introduction 2 Background and Related Work 2.1 Content Delivery Network 2.2 Recommendation Techniques 2.3 Hybrid Approach for Recommendation 3 Methodology for Recommendation System 4 Implementation and Results 5 Conclusıon References Business Analytics Improving Emotional Confusions in SNS Sentiment Analysis by Partial Redistribution of BERT Discrimination Results 1 Introduction 2 Related Work 3 Framework of Partial Redistribution for Improving Emotional Confusions 3.1 Model Architecture for Sentiment Analysis Based on BERT 3.2 Emotional Confusion Confirmation 3.3 Partial Redistribution and Calibration 4 Experiment Results and Discussion 4.1 Experiment Setup 4.2 Data Preparation 4.3 Results and Discussion 5 Conclusion References A Scientific Perspective of Agnihotra to Curtail Pollutants in the Air 1 Introduction 2 State-of-the-Art 3 Agnihotra Process 4 Methodology 5 Results 6 Conclusion References Policy Driven Epidemiological (PDE) Model for Prediction of COVID-19 in India 1 Introduction 2 Related Work 3 Background 4 Policy Driven Epidemiological (PDE) Model 4.1 Data Acquisition and Feature Extraction 4.2 Epidemiological Weight Computation 4.3 Infection Diffusion 5 Evaluative Parameters 6 Experiments and Analysis 6.1 Datasets 6.2 Analysis and Discussion of Results 7 Conclusion References Author Index