Intelligent Computing and Networking: Proceedings of IC-ICN 2022

Description

This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2022), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 25–26, 2022. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, human–machine interaction, big data mining, data science and mining, applications of intelligent systems in healthcare, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics and blockchain technology. Preface Contents Editors and Contributors Implementation of a PID Controller for Autonomous Vehicles with Traffic Light Detection in CARLA 1 Introduction 2 Related Work 3 Methodology 4 Implementation of PID Controller 5 Traffic Light Detection 6 Combined Framework 7 Result and Discussion 7.1 PID Controller 8 Traffic Light Detection 9 Combined Framework 10 Conclusion References Binary Classification for High Dimensional Data Using Supervised Non-parametric Ensemble Method 1 Introduction 2 Implementation 3 Results 3.1 Analysis of Data 3.2 Precision and Recall 3.3 F-Score 3.4 Receiver Operating Characteristic 4 Conclusion References Deep Linear Discriminant Analysis with Variation for Polycystic Ovary Syndrome Classification 1 Introduction 2 Methodology 2.1 First Phase 2.2 Second Phase 3 Results 3.1 Accuracy and Loss for First Phase 3.2 Accuracy and Loss for Second Phase 3.3 Precision 3.4 Recall 3.5 F-Score 4 Conclusion References Improved Helmet Detection Model Using YOLOv5 1 Introduction 2 Literature Survey 3 Architecture of YOLOv5 4 Proposed System 5 Results and Discussion 5.1 Experimental Environment 5.2 Dataset 5.3 Results 6 Conclusion References Stock Market Trend Prediction Along with Twitter Sentiment Analysis 1 Introduction 2 Literature Survey 3 Dataset 3.1 Yahoo Finance 3.2 Twitter Sentiment Analysis 3.3 Standardization 4 Work Flow Diagram 5 Methodology 5.1 Stock Trend Predication 5.2 Twitter Sentiment Analysis 6 Experimental Results 7 Conclusion References A Study on MQTT Protocol Architecture and Security Aspects Within IoT Paradigm 1 Introduction to MQTT Protocol 1.1 MQTT Protocol Architecture 1.2 Why MQTT? 2 Security Aspects Within MQTT 2.1 Identity 2.2 Authentication 2.3 Authorization 3 X.509 Client Certificate Authentication Within MQTT 3.1 Certificate Provisioning 3.2 Certification Revocation List 3.3 X.509 Certificate for Authentication and Authorization 3.4 OAuth2.0 Within MQTT 4 Payload Encryption 4.1 E2E (End-To-End)Encryption 4.2 Client to Broker Encryption 5 Conclusion References Compartive Analysis of Different Block Chain Technology to Improve the Security in Social Network 1 Introduction 2 Literature Review 3 Proposed Methodology 4 Security Process Using SNS Model Dapps, & BCOSN’s Architecture 5 Comparison of Different Security Features in Blockchain for Social Network 6 Conclusion References Euphonia: Music Recommendation System Based on Facial Recognition and Emotion Detection 1 Introduction 2 Literature Survey 3 Problem Statement 4 Architecture 5 Algorithm 6 Results and Discussion 7 Conclusion References Improvement of Makespan and TCTime in Dynamic Job Ordering and Slot Utilization for MapReduce Workloads 1 Introduction 2 Related Work 3 Proposed System 4 Experimental Results 5 Conclusion and Future Work References Identification and Detection of Plant Disease Using Transfer Learning 1 Introduction 2 Literature Survey 3 A Taxonomy on Deep Learning 4 Proposed Method 5 Result & Conclusion References Blockchain Based E-Voting System 1 Introduction 2 Concept of Blockchain 2.1 Working of Blockchain 2.2 Characteristics of Blockchain 3 Existing Methodology 3.1 Traditional Ballot Paper System 3.2 EVM 3.3 E-Voting 3.4 Blockchain a Better Technology for E-Voting 4 Literature Review 5 Proposed System 6 Result and Discussion 7 Conclusion References An Intelligent Voice Assistant Engineered to Assist the Visually Impaired 1 Introduction 2 The Proposed System 2.1 Wearable Wrist Device 2.2 Voice Assistant 2.3 Companion Mobile Application 3 Architecture and Algorithms 3.1 Optical Character Recognition 3.2 Fruit Ripeness Detection 3.3 Object Detection 4 Result and Discussion 5 Conclusion and Future Scope References Analysis of Python Libraries for Artificial Intelligence 1 Introduction 2 Tools in Python Aiding to Artificial Intelligence 2.1 Numpy 2.2 Pandas 2.3 MatPlotlib 2.4 Seaborn 2.5 Scikit 2.6 TensorFlow 2.7 Keras 2.8 Theano 2.9 PyTorch 2.10 NLTK 3 Comparative Analysis 4 Conclusion References Annual Rainfall Prediction of Maharashtra State Using Multiple Regression 1 Introduction 2 Literature Review 3 Regression 3.1 Support Vector Machines (SVM) for Regression 3.2 Artificial Neural Network 4 Study Area 5 Data Collection 6 Analysis of Rainfall Pattern 7 Methodology 8 Results Analysis and Discussion 9 Conclusion References Automated Healthcare System Using AI Based Chatbot 1 Introduction 2 Motivation 3 Literature Review 4 Methodology 4.1 Data Collection 4.2 Pre-processing the Data Using NLP 4.3 Machine Learning Model 5 Evaluation Metrics 6 Results and Discussion 7 Conclusion References Winner Prediction of Football Match Using Machine Learning 1 Problem Description 2 Literature Survey 3 Methodology 4 Dataset 4.1 Description 4.2 Exploratory Data Analysis 4.3 Data Pre-processing 5 Choice of Model (Algorithms) 6 Testing and Training (Evaluation Metrics) 7 Result and Discussion 8 Future Scope 9 Conclusion References RaktaSeva—An App for Civilians and Blood Banks 1 Introduction 2 Literature Survey 3 Existing Systems 3.1 Friend2Support.org 3.2 Save Life Connect 3.3 e-RaktKosh 4 Proposed Work 5 Implementation 6 Result and Discussion 7 Conclusion 8 Future Scope References Prediction of Anemia Disease Using Machine Learning Algorithms 1 Introduction 2 Problems Faced 3 Methodology 4 Technology Used 5 Result and Discussion References Author Index