Intelligent Human Centered Computing: Proceedings of HUMAN 2023

Description

This book features high-quality research papers presented at the First Doctoral Symposium on Human Centered Computing (HUMAN 2023), jointly organized by Computer Society of India, Kolkata Chapter and Techno India University, West Bengal, on February 25, 2023. This book discusses the topics of modern human centered computing and its applications. The book showcases the fusion of human sciences (social and cognitive) with computer science (human–computer interaction, signal processing, machine learning, and ubiquitous computing). Preface Organisation Contents About the Editors An Intelligent Approach for Brain Tumor Classification Using Different CNN Variants 1 Introduction 2 Literature Review 3 Methodologies 4 Experiment and Analysis 5 Results and Discussion 6 Conclusion and Future Scope References Effective Estimation of Relationship Strength Among Facebook Users Applying Pearson Correlation and Jaccard's Coefficient 1 Introduction 2 Related Work 3 Enumerated Structure of the Proposed Approach 3.1 Calculation of Relationship Strength 3.2 Assessment Matrices 3.3 Dataset 4 Results Analysis 5 Conclusion and Future Work References Taxonomy of Music Genre Using Machine Intelligence from Feature Melting Technique 1 Introduction 2 Literature Review 3 Methodology 3.1 Dataset Used 3.2 Feature Extraction 4 Result and Analysis 5 Comparative Study 6 Conclusion References Optimization of Intraday Trading in F&O on the NSE Utilizing BOLLINGER BANDS 1 Introduction 2 Literature Review 3 Methodology 4 Result 5 Conclusion References Identification of Mental State Through Speech Using a Deep Learning Approach 1 Introduction 2 Literature Review 3 Methodology 3.1 Dataset Used 3.2 Feature Extraction 3.3 Classification with CNN 4 Experimental Analysis 4.1 Comparative Study 5 Conclusion References Intellectual Property in Human Genomics in India 1 Introduction 1.1 Statement of Problem 1.2 Need for the Research 1.3 Research Methodology 1.4 Objective of the Study 1.5 Scope of the Study 2 Human Genes – Scientific Overview 2.1 Genome Engineering 2.2 Application of Genomics 3 Social, Legal, and Ethical Issues in Patenting Human Genomics 3.1 Gene Patents and Research-Related Issues 3.2 Patenting Human Genes: The Ethical Debate 4 Intellectual Property and Role of Human Genomics in India 4.1 Indian Patents Act 1970 4.2 Gene Patents Under the Patents Act of 1970 5 Right to Health and Genetic Patents 6 Conclusion References Performance of Automated Machine Learning Based Neural Network Estimators for the Classification of PCOS 1 Introduction 2 Background 2.1 Artificial Neural Network 2.2 Automated Machine Learning 3 Dataset Description 3.1 Experimental Set up 3.2 Hardware and High-Performance Computing Environment 4 Results 4.1 Analysis of Different PyTorch Neural Network Estimators 5 Conclusion References Job Recommendation a Hybrid Approach Using Text Processing 1 Introduction 2 Proposed Work 3 Machine Learning Algorithms 4 Preprocessing of Data 5 Result and Discussion 6 Use of Optimization in Machine Learning Classifiers 7 Conclusion References A Study to Investigate the Existence of Monolexemic Colour Terms in Dravidian Languages: A Visual Psychophysics Approach 1 Introduction 2 Literature Review 3 Materials and Methods 4 Experimental Apparatus 5 Experimental Methods 6 Results 7 Discussion 8 Conclusion References Deep Artificial Neural Network Based Blind Color Image Watermarking 1 Introduction 2 Proposed Blind Color Image Watermarking 2.1 Watermark Embedding Algorithm 2.2 Watermark Extraction Algorithm 3 Result and Discussion 3.1 Embedding Payload 4 Conclusion References IoT Based Automatic Temperature Screening & Alert System for Symptomatic COVID-19 Detection 1 Introduction 1.1 Infrared Thermal Imaging 1.2 Hand Held Non-contact Infrared Thermometers 2 Device Design Schema 2.1 Hardware 2.2 Embedded Software 3 Results and Discussions 3.1 Experimental Outcome 4 Conclusion and Future Scope References Boosting Machine Learning Algorithm to Classify Road Conditions for Maintenance Strategy of Flexible Pavements 1 Introduction 2 Literature Review 3 Methodology 3.1 Data Collection 3.2 Data Preprocessing 3.3 Balancing the Dataset 3.4 Feature Scaling (Normalization) 3.5 Data Analysis 4 Data Validation 4.1 Metrics in This Study for Performance Evaluation 5 Results 6 Conclusions References Hyper Parameterized LSTM Models for Predicting NSE Intraday Bias Based on Global Market Trends 1 Introduction 2 Systematic Review 3 Proposed Method 3.1 Data Collection 3.2 Brief Insight into LSTM 4 Result Analysis 5 Conclusion References Malicious URL Classification Using Machine Learning 1 Introduction 2 Survey 3 Proposed Work 3.1 List of Features Used for Classification 3.2 Machine Learning Algorithms 4 Experiment and Results 4.1 Dataset Information 4.2 Performance Metrics 5 Conclusion and Future Scope References Prognostic Stage Classification for Invasive Breast Cancer by Analysing Affected Lymph Node 1 Introduction 2 Literature Review 3 Methodology 4 Result and Discussion 4.1 Comparison Table 5 Conclusion References Study of Task Scheduling Algorithms for Energy Minimization in a Cloud Computing Environment 1 Introduction 1.1 The Benefits of Task Scheduling Algorithms 1.2 Paper Organization 2 Literature Survey 3 Energy Management Algorithms 4 Conclusion References Human Stress Detection from SWCT EEG Data Using Optimised Stacked Deep Learning Model 1 Introduction 2 Related Work 3 Dataset Description 4 Methodology 4.1 Discrete Wavelet Transform (DWT) 4.2 Particle Swarm Optimization (PSO) 4.3 Grid Search Optimization (GSHPO) 4.4 Long Short-Term Memory (LSTM) 4.5 Bidirectional Long Short-Term Memory (BiLSTM) 5 Proposed Work 5.1 Data Preprocessing 5.2 Proposed Model 6 Results 6.1 Metrics Based Performance 6.2 Convergence Based Performance 6.3 ROC Curve Analysis 7 Conclusion and Future Work References Impact of Carbon Emission Policies on an Imperfect EOQ Model Under Cloud Fuzzy Environment 1 Introduction 2 Notations and Assumptions 3 Mathematical Model 3.1 Crisp Mathematical Model 3.2 Fuzzy Mathematical Model: 3.3 Cloud Fuzzy Mathematical Model: 4 Numerical Analysis 5 Sensitivity Analysis 6 Conclusions References Rule-Based Investigation on Positive Change in Air Quality at Kolkata During Lockdown Period Due to Covid-19 Pandemic 1 Introduction 2 Related Works 3 Preliminaries and Problem Statement 3.1 Association Rule Mining 3.2 Air Quality Index (AQI) 3.3 Target Location and Data Collection 4 Proposed Approach 4.1 Design of Binary TDB of Pollutants 4.2 Proposed Algorithm 5 Experimental Result 6 Conclusion and Future Scope References Performance Analysis of Professional Higher Education Programmes Driven by Students Perception: A Latent Variable Computation Model for Industry 5.0 1 Introduction 2 Literature Review 3 Methodology 4 Results 5 Conclusion References Graph Based Zero Shot Adverse Drug Reaction Detection from Social Media Reviews Using GPT-Neo 1 Introduction 2 Review Literature 3 Proposed Methodology 3.1 Data Collection 3.2 Data Pre-processing 3.3 Grouping 3.4 Graph Construction 3.5 GPT-Neo Model 4 Result 5 Conclusion References Digital Twin for Industry 5.0: A Vision, Taxonomy, and Future Directions 1 Introduction 1.1 Data Flow for Digital Twin 1.2 Simulation and Digital Twin 1.3 Motivation 1.4 Contributions 2 Related Work 3 Taxonomy of Digital Twin 3.1 Types of Digital Twin 3.2 Sustainability Taxonomy of Digital Twin 4 Application of Digital Twin 4.1 Digital Twin in Healthcare 4.2 Digital Twins in Smart Cities 4.3 Digital Twin in Manufacturing Industry 5 Data Handling Methodologies in Digital Twins 5.1 Procedure for Data Acquisition of Digital Twin 5.2 Procedure for Data Communication of Digital Twin 5.3 Procedure for Data Storage of Digital Twin 5.4 Procedure for Data Collaboration of Digital Twin 5.5 Techniques for Data Integration of Digital Twin 5.6 Techniques for Data Transformation of Digital Twin 5.7 Techniques for Data Service of Digital Twin 6 Opportunities 7 Challenges 8 Conclusion References Application of Machine Learning Technology for Screening of Mental Health Disorder 1 Introduction 2 Review of Literature 3 Methodology References Novel Machine Learning Techniques for Diabetes Prediction 1 Introduction 2 Literature Survey 3 Proposed Methodology 3.1 Dataset Description 3.2 Data Pre-processing 3.3 Model Building 4 Experiment 4.1 Experimental Setup 4.2 Evaluation 4.3 Base Model 4.4 Result and Discussion 5 Conclusion and Future Scope References Analysis of BLER and Throughput During the Coexistence of Two 5G NR 1 Introduction 2 Design of the Coexistence of Two 5G NR 2.1 Simulation Diagram 2.2 Experimental Procedure 3 Results of the Coexistence of Two 5G NR 3.1 Episode 1: f1 = 1.901 GHz, f2 = 2.16 GHz 3.2 Episode 2: f1 = 1.901 GHz, f2 = 2.1599937 GHz 3.3 Episode 3: f1 = 1.901 GHz, f2 = 2.15999381 GHz 3.4 Episode 4: f1 = 1.901 GHz, f2 = 2.15999387 GHz 3.5 Episode 5: f1 = 1.901 GHz, f2 = 2.159995 GHz 3.6 Episode 6: f1 = 1.901 GHz, f2 = 2.1600013 GHz 3.7 Episode 7: f1 = 1.901 GHz, f2 = 2.16000137 GHz 4 Summary and Conclusion References An Assessment of Forest Fire Dataset Using Soft Computing Technique 1 Introduction 2 Literature Survey 3 Methodology 4 Results and Discussion 5 Conclusion and Future Scope References Predicting the Data Science Employability Rate Using Data Mining Techniques 1 Introduction 2 Literature Review 3 Research Methodology 4 Results and Discussions 5 Conclusions References Classification of Online Fake News Using N-Gram Approach and Machine Learning Techniques 1 Introduction 2 Related Literatures 3 Proposed Methodology and Model Building 3.1 Data Collection 3.2 N-Gram Model 3.3 Data Pre-processing 3.4 Feature Extraction 3.5 Training and Testing the Model 3.6 Machine Learning Classifiers 3.7 Results and Discussions 4 Conclusion and Future Scope References An Edge Assisted Robust Smart Traffic Management and Signalling System for Guiding Emergency Vehicles During Peak Hours 1 Introduction 2 Related Work 3 Methodology 3.1 Calculating Index Value 3.2 Arrival of Emergency Vehicle 3.3 Decision Making at Edge Server 4 Experiment Results for Different Weather Conditions 5 Conclusion References Patent Analysis on Artificial Intelligence in Food Industry: Worldwide Present Scenario 1 Introduction 2 Methodology 3 Results 4 Discussion 4.1 AI in Food Industry: Direct Application 4.2 AI in Food Industry: Indirect Application 5 Significance of AI in Food Industry: Post COVID-19 Time 6 Benefits of the Present Research 7 Conclusion Appendix References Research of the Influence of the Fuzzy Rules Number on the Learning of a Neuro-Fuzzy System 1 Introduction 2 Estimation of the Minimum and Maximum the Number of Fuzzy Rules Included into a Fuzzy-Logical System 3 Soft and Hard Models for Fuzzy Inference Systems 4 Multiple Regression Analysis 5 Numerical Simulation of the Functioning and Performance Assessment of a Fuzzy Model with a Different Number of Fuzzy Rules 6 Conclusion References Optimization of Traffic Flow Based on Periodic Fuzzy Graphs 1 Introduction 2 Literary Review 3 Periodic Temporal Fuzzy Graphs 4 Possibility of Real Use 5 Conclusion References ChatGPT: A OpenAI Platform for Society 5.0 1 Introduction 2 Fundamentals of ChatGPT 3 Comparison Between ChatGPT and BERT 4 Features and Benefits of ChatGPT 5 Method of Operations and Enterprise Architecture of ChatGPT 6 Potential Industrial Applications of ChatGPT 7 Role of Chat GPT in Software Development 8 Limitations of ChatGPT 9 Conclusions References Author Index