Advanced Informatics for Computing Research: 5th International Conference, ICAICR 2021, Gurugram, India, December 18–19, 2021, Revised Selected Papers ... in Computer and Information Science, 1575)

This volume constitutes selected and revised papers of the 5th International Conference on Advanced Informatics for Computing Research, ICAICR 2021, held in Gurugram, India, in December 2021. The 17 revised full papers and 6 short papers presented were carefully reviewed and selected from 306 submissions. The papers targeted state-of-the-art as well as emerging topics pertaining to advanced informatics for computing research and its implementation for engineering applications. Preface Organization Contents Computing Methodologies Worldwide Vaccination Report for COVID-19 Analysis and Visualization Using Deep Learning 1 Introduction 2 Related Work 3 Material and Method 3.1 Dataset 3.2 Proposed Work 4 Experimental Results and Discussions 4.1 Analysis of COVID-19 Around the World 4.2 Analysis of Vaccination Program 4.3 Analysis and Comparison of First and Second Wave in India 5 Conclusion and Future Scope References A Hybrid Filter/Wrapper Machine Learning Model for Classification Cancer Dataset 1 Introduction 2 Literature Review 3 Materials and Methods 3.1 Materials 3.2 Methods 3.3 Support Vector Machine Approach for Data Classification 3.4 K-Nearest-Neighbor (kNN) Approach for Data Classification 4 Proposed Model 4.1 Preprocessing 4.2 Training and Testing of the Datset 4.3 Classification Using K Nearest Neighbor (KNN) and Support Vector Machines (SVM) 4.4 Performace Measure 4.5 Effectiveness 4.6 Accuracy 4.7 Recall 4.8 Precision 4.9 F1 Score 5 Results, Analysis and Discussion 6 Conclusion and Future Work References Segmentation of Tumor Region from Mammogram Images Using Deep Learning Approach 1 Introduction 2 Review of Literature 3 Proposed Work 3.1 Preprocessing 3.2 Data Augmentation 3.3 Segmentation 4 Results and Discussion 4.1 Segmentation Without Enhancement 4.2 Segmentation with Enhancement 5 Conclusion References Optimized Analysis Using Feature Selection Techniques for Drug Discovery Detection 1 Introduction 1.1 Problem Statement and Contribution 2 Literature Review 3 Methodology 3.1 Data Used 3.2 Feature Selection Techniques 4 Experimental Results and Analysis 4.1 Analysis 5 Conclusion References A Survey and Analysis on the Distraction Patterns of the Students in E-Learning and M-Learning Environments 1 Introduction 2 Topics of Discussion 2.1 E-Learning and M-Learning 2.2 Types of Students in E-Learning and Mobile-Learning Observed 2.3 Methodology 3 Analysis on the Data Set from the Survey by Students Community 3.1 Analysis on the Online Learning and Types of Gadgets Used 3.2 Analysis on the Tools, Time Spent by Students Online and Internet Connection Speed 3.3 Comparision of Physical Class Room Training and Online Training 3.4 Analysis of the Teachers Observation on Students Availability and Attention 3.5 Analysis of the Responses of Students About Getting Distracted in the Class 3.6 Analysis of the Responses of Students About the Tools Utilised by Faculty to Avoid Distraction in Class 3.7 Analysis of the Responses of Students About the Distraction of Their Peers 4 Analysis on the Data Set from the Survey by Faculty Community 4.1 Analysis on the Comfortness of Students Observed by Faculty in Online Mode of Education 4.2 Analysis on Categorizing Students and Improving Performance and Reducing Distraction 4.3 Analysis on Whether the Faculty Are Observing the Students Distractions 4.4 Analysis on How a Faculty Member is Checking the Understandability of the Students While Taking Online Class 5 Conclusion References Crop Identification and Disease Detection by Using Convolutional Neural Networks 1 Introduction 2 Pre-work 3 Methodology 3.1 System Architecture 3.2 Data Collection Preparation and Training 4 Implementation 4.1 Training the Model 4.2 Algorithm Implementation 5 Results and Dicurtions 5.1 Model Prediction 5.2 Making Predictions 5.3 Input and Output Analysis 6 Conclusion References Enhanced Service Point Approach for Microservices Based Applications Using Machine Learning Techniques 1 Introduction 2 Service Points Approach 2.1 Classification of Services 2.2 Calculation of Weights and Points 2.3 Technical and Environmental Factors 2.4 Final Service Point Evaluation 3 Proposed Approach 3.1 Regression Analysis 3.2 Datasets 3.3 Evaluation Criteria 4 Experimental Results 4.1 Application of Service Points Method 4.2 Application of Proposed Regression Model 4.3 Comparison 5 Conclusion References An Efficient Novel Approach for Detection of Handwritten Numericals Using Machine Learning Paradigms 1 Introduction 2 Related Works 2.1 Feasibility Study 3 System Architecture 4 Methodology 4.1 Data 4.2 Support Vector Machines (SVM) 4.3 K Nearest Neighbours (KNN) 4.4 Stochastic Gradient Descent 5 Conclusion References Multiclass Classification in Machine Learning Algorithms for Disease Prediction 1 Introduction 2 Methodology 2.1 Data Collection 2.2 Data Preprocessing 2.3 Building the Model 2.4 Performance Metric of Model 3 Result Analysis as Per Given Algorithms 4 Conclusion References An Improved JAYA Algorithm Based Test Suite Generation for Object Oriented Programs: A Model Based Testing Method 1 Introduction 2 Proposed Algorithm 2.1 JAYA Algorithm 2.2 Improved JAYA Algorithm 3 Projected Framework 4 Experiments 5 Results and Discussions 6 Conclusions References Analysing Sentiments of People Over Vaccines in Reddit Posts Using Natural Language Processing 1 Introduction 2 Related Work 3 Work Flow and Results 3.1 Data Collection and Pre-processing 3.2 Word Cloud Generation and Statistical Analysis 3.3 Sentiment Analysis 4 Conclusions and Future Work References CREA-Components Reusability Evaluation and Assessment: An Algorithmic Perspective 1 Introduction 2 Research Review on Component Identification and Evaluation 3 Component Identification Process 4 Component Reusability Evaluation Algorithm (CREA) 4.1 Component Reusability Score (Creusabilityscore) 5 Results Discussion 5.1 Method Interaction 6 Conclusion References High Utility Itemset Mining Using Genetic Approach 1 Introduction 2 Related Work and Motivation 2.1 Genetic Algorithm 2.2 High Utility Itemset Mining(HUIM) 3 Problem Definition 3.1 Preliminaries 3.2 Problem Statement 4 Proposed Algorithm 4.1 Database Pruning 4.2 Initial Population Generation 4.3 Time Complexity 5 Experiments 6 Limitation of the Study 7 Conclusion References Relationships Among Human Genome Graph Elements Using Clusters Detection 1 Introduction 2 Literature Review 2.1 Linear Layout Based Tools 2.2 Circular Layout Based Tools 3 Dataset Tools and Method 3.1 Dataset 3.2 Tools 3.3 Methods 3.4 Representation Logic 4 Output and Results 5 Conclusion References Transfer Learning Architecture Approach for Smart Transportation System 1 Introduction 2 Related Work 3 Data Based Modeling for Smart Transportation System 4 Proposed Transfer Learning Architecture 5 Experimentation and Results Discussion 6 Conclusion and Future Directions References Machine Learning Approach for Detection of Cardiology Diseases 1 Introduction 1.1 Literature Survey 2 System Architecture 3 Implementation and Results 3.1 User Interface of Our Application 3.2 Data Prepossessing 3.3 Performance of Algorithms with Classification Report 3.4 Accuracy Graph Which Shows the Performance of Different Algorithms 4 Conclusions References Efficient Entity Resolution for Bibliographic Data Using MapReduce 1 Introduction 2 Related Work 3 Proposed Work 4 Implementation Result 5 Conclusion and Future Work References Networks Securing of Identification System Data Transmission Using Deep Autoencoders and Data Hiding 1 Introduction 2 Related Works 3 Materials and Methods 3.1 Autoencoders 3.2 Simple Autoencoder 3.3 Convolutional Autoencoder 3.4 Reversible Data Hiding 4 Proposed Methodology 4.1 Working and Architecture 4.2 Model Architecture 4.3 Dataset Description 4.4 Text Vectorization and Transformation 4.5 Model Optimization and Metrics 4.6 Data Hiding and Retrieval 5 Results and Discussion 6 Conclusion References Review on IoT Based Real-Time Healthcare Monitoring System 1 Introduction 2 System Analysis 2.1 Methodology 3 Devices 3.1 Portable Gadgets 3.2 Attachable Devices 3.3 Implantable and Ingestible Devices 4 Benefits of IoT in Healthcare 4.1 Monitoring and Reporting 4.2 Assortment of Data and Its Analysis 4.3 Tracking and Alerts 4.4 Far-Flung Healthcare Assistance 4.5 Reduction in Cost 4.6 Enhanced Treatment 4.7 Speedy Diagnosis of Disease 4.8 Reduction in Error 5 Applications 5.1 Monitoring of ECG 5.2 Monitoring the Glucose Level 5.3 Monitoring of Temperature 5.4 Monitoring of BP 5.5 O2Level Monitoring 6 Challenges 6.1 Data Privacy and Security 6.2 Devices and Protocols 6.3 Data Overload and Accuracy 6.4 Price 6.5 Connectivity 6.6 Availability 7 Future Scopes 7.1 Home Healing 7.2 Remote Health Monitoring 7.3 Taking Medicines at the Appropriate Time 8 Conclusion References A Blockchain-Based Solution for Electronic Medical Records System in Healthcare 1 Introduction 1.1 Blockchain Technology 1.2 Blockchain in Healthcare 2 Review of Existing Work 3 Proposed Methodology 3.1 System Architecture 3.2 Technology Stack 3.3 Proposed Algorithms 4 Results and Discussion 4.1 Simulation Settings 4.2 Experiment 4.3 Discussion and Analysis 5 Conclusion References Edge-Assisted IoT Architecture: A Case of Air Pollution Monitoring Frameworks 1 Introduction 2 Edge Computing 2.1 Definition and Characteristics 3 Role of Edge in IoT 3.1 Significance of Edge 4 IoT Enabled Air Pollution Monitoring 4.1 Existing Frameworks 5 Conclusion References Capsule Network Based Speech Emotion Recognition for Efficient Capturing of Spatial Features 1 Introduction 2 Literature Review 3 Dataset 3.1 IEMOCAP 3.2 RAVDESS 4 Proposed Methodology 4.1 Implementation 4.2 Comparative Analysis 4.3 Results 5 Conclusion and Future Scope References Application of IoT in 5G Wireless Communication: A Detailed Review 1 Introduction 1.1 Basics of IoT 1.2 Need of IoT 1.3 Sensor Network Using Wireless Systems 2 Applications of 5G in Various Wireless Systems 2.1 Terrestrial Microwave 2.2 Cellular and PCS Systems 2.3 Radio and Spread Spectrum Technologies 2.4 Free Space Optical (FSO) Communication 2.5 Communication Satellite 3 Challenges and Vision oF 5G IoT 4 Latest Research Work 5 Research Gaps 6 Future Scope 7 Conclusion References Author Index