Advances in Intelligent Computing and Communication

Name: Advances in Intelligent Computing and Communication | Proceedings of ICAC 2021
Brand: Springer
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Proceedings of ICAC 2021

Mihir Narayan Mohanty Swagatam Das(Editor)

Springer (Publisher)

1st Edition

Published on 16. May 2022

XXIV, 573 pages

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978-981-19-0825-5 (ISBN)

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Dr. Mihir Narayan Mohanty is presently working as Professor in the Department of Electronics and Communication Engineering, Institute of Technical Education and Research, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India. He has published over 500 papers in international/national journals, chapters, and conferences along with approximately 25 years of teaching experience at UG and PG levels. He is Active Member of many professional societies like IEEE, IET, ISTE, IRED, IETI, EMC and EMI Engineers, India, ISCA, ACEEE, IAEng, etc. Also, he is Fellow of IE (I) and IETE and Senior Member of IEEE. He has received his M.Tech. degree in Communication System Engineering from Sambalpur University, Sambalpur, Odisha. Also, he has done his Ph.D. work in Applied Signal Processing. He was working as Associate Professor and Head in the Department of Electronics and Instrumentation Engineering, Institute of Technical Education and Research, Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, Odisha. His area of research interests includes applied signal and image processing, digital signal/image processing, biomedical signal processing, and microwave communication engineering. He has worked as Guest Lecturer in many universities. Simultaneously, he has given many invited talks at conferences, webinars, workshops, and FDPs. He has reviewed many Springer and IEEE-based conference papers as well as for international journal papers. He has also received many national and international awards like Cosmic International Awards, Green Thinkerz Award, Green Warriors Award, Rajiv Gandhi Sadbhavana Award, Institution Award from Institute of Engineers (India), and many best paper awards in international conferences.Dr. Swagatam Das received his B.E. Tel. E., M.E. Tel. E (Control Engineering specialization), and Ph.D. degrees, all from Jadavpur University, India, in 2003, 2005, and 2009, respectively. Currently serving as Associate Professor at the Electronics and Communication Sciences Unit of the Indian Statistical Institute, Kolkata, India, his research interests include evolutionary computing, pattern recognition, multiagent systems, and wireless communication. Dr. Das has published more than 300 research articles in peer-reviewed journals and international conference proceedings. He is Founding Co-Editor-in-Chief of Swarm and Evolutionary Computation, an international journal from Elsevier. He has also served as or is serving as an Associate Editor of various journals, including Pattern Recognition, Neurocomputing, Information Sciences, IEEE Access, and so on. He is Editorial Board Member of numerous other journals, including Progress in Arti?cial Intelligence, Applied Soft Computing, and Arti?cial Intelligence Review. Dr. Das is Recipient of the 2012 Young Engineer Award from the Indian National Academy of Engineering (INAE) and of the 2015 Thomson Reuters Research Excellence India Citation Award for the highest cited researcher from India in the Engineering and Computer Science category for the period 2010-2014.

Content

Intro
Preface
Contents
Editors and Contributors
An Unsupervised Learning Approach Towards Credit Risk Modelling Using DFT Features and Gaussian Mixture Models
1 Introduction
2 Previous Works
3 Methodology
4 Experiments, Results, and Discussion
5 Conclusion
References
Human Activity Detection-Based Upon CNN with Pruning and Edge Detection
1 Introduction
2 Literature Survey
3 Problem Definition
4 Methodology of Work
5 Performance Analysis and Results
6 Conclusion and Future Scope
References
Improvement in Breast Cancer Detection Using Deep Learning
1 Introduction
2 Literature Review
3 Method Used
4 Proposed Methodology
5 Data
5.1 Channels
5.2 Initialization
6 Results
7 Conclusion
References
Measure to Tackle Forest Fire at Early Stage Using Applications of IoT
1 Introduction
2 Literature Survey
3 Problem Definition
4 Proposed Model
4.1 Data Accumulation Layer
4.2 Data Pre-processing Layer
4.3 Categorization Layer
4.4 Cloud Layer
4.5 Event Classification
5 Performance Analysis and Results
6 Conclusion and Future Scope
References
Start and Stop Policy for Smart Vehicles Using Application of IoT
1 Introduction
2 Literature Survey
3 Methodology
4 Results and Discussion
5 Conclusion and Future Scope
References
Fake News Detection Using Lightweight Machine Learning Models
1 Introduction
2 Related Work
3 Experiment and Result Analysis
3.1 Performance of SVM Model
3.2 Performance of Logistic Regression Model
3.3 Performance of Decision Tree Model
3.4 Performance of Neural Network
3.5 Result
4 Conclusions
References
A Comparative Analysis of Regression Approaches for Prediction of COVID-19 Active, Recovered, and Death Cases in India
1 Introduction
2 Related Work
3 Related Concepts
3.1 Random Forest Regression
3.2 Multiple Regression
4 Experimental Setup
4.1 Preparation of Dataset
4.2 Data Preprocessing
4.3 Visualization
4.4 Performance Calculation
5 Results
6 Conclusion
References
Energy Configuration Management Framework Using Automated Data Mining Algorithm
1 Introduction
1.1 Energy Conservation
1.2 Introduction to Data Mining and K-Means Clustering and R Programming
2 Literature Review
3 Present Works
3.1 Description of the System
4 Methodology and Results
5 Conclusions
References
Lecture Notes in Computer Science: Pathological Voice Recognition Based on Acoustic Phonatory Features
1 Introduction
1.1 Types of Voice Disorders
2 Related Work
2.1 Research Gaps Identified
3 Methodology
3.1 Preprocessing
3.2 Feature Extraction
3.3 Classification
3.4 Steps in Voice Pathology Recognition Process
4 Results and Discussions
5 Conclusion
References
Analog/RF Performance Analysis of Downscaled Cylindrical Gate Junctionless Graded Channel MOSFET
1 Introduction
2 Device Architecture and Simulation Model
3 Result Analysis
4 Conclusion
References
Process Design to Self-extract Text from Images for Similarity Check
1 Introduction
2 Proposed Document Processing Approach
2.1 Proposed Approach
3 Experimental Results and Discussions
4 Conclusion
References
Enactment Assessment of Machine Learning Model for Chronic Disease (Dysrhythmia) Using an Consistent Attributes and KNN Algorithm
1 Introduction
1.1 Narration of the Dataset
1.2 Data Preprocessing
1.3 Splitting the Data
2 Related Works
3 Proposed Techniques
3.1 Selection of Dataset
3.2 Methodology
3.3 Estimation of ML Algorithms
4 Result and Analysis
5 Conclusion
References
Data Classification by Ensemble Methods in Machine Learning
1 Introduction
2 Review of Literature
3 Overview of Algorithms
3.1 K-NN Algorithm
3.2 Decision Tree Algorithm
4 Experimental Setup and Result Analysis
5 Conclusion
References
Image Caption Generator Using Machine Learning and Deep Neural Networks
1 Introduction
2 Literature Survey
3 Proposed Image Caption Generator
3.1 System Architecture
3.2 Object Detection
3.3 Sentence Generation
3.4 Working
4 Methodology
4.1 Feature Extraction
4.2 Encoder
4.3 Decoder
5 Experimental Results
6 Conclusion
References
Power Quality Issues Mitigation in an AC Microgrid Through Bayesian Regularization Algorithm-Trained Artificial Neural Network
1 Introduction
2 System Modeling
2.1 Dstatcom
3 Results and Discussion
4 Conclusion
References
Rectified Adam Optimizer-Based CNN Model for Speaker Identification
1 Introduction
2 Related Work
3 Proposed Model
4 Experimental Setups
4.1 Dataset Description
4.2 Training Details
5 Experiments and Analysis of the Results
6 Conclusion
References
Fault Classification in Transmission Line Using Empirical Mode Decomposition and Support Vector Machine
1 Introduction
2 Empirical Mode Decomposition
3 Feature Extraction
4 Support Vector Machine
5 System Under Study
6 Simulation and Results
7 Conclusion
References
Adaptive Grey wolf Optimization Algorithm with Gaussian Mutation
1 Introduction
2 Proposed Adaptive Grey Wolf Optimization Algorithm (AGWO)
2.1 Encircling Prey
2.2 Hunting
2.3 Attacking Prey
2.4 Gaussian Mutation
3 Discussion on Experimental Finding
4 Conclusion
References
A Study on Apodization Profiles of Fiber Bragg Gratings
1 Introduction
2 Theory
3 Modeling
4 Discussions
5 Conclusion
References
Analysis on Polycystic Ovarian Syndrome and Comparative Study of Different Machine Learning Algorithms
1 Introduction
2 Literature Survey
3 Research Methodology
3.1 KNN (K-Nearest Neighbors Algorithm):
3.2 Linear Regression
3.3 K-means Clustering
3.4 Support Vector Machine (SVM)
4 Result
5 Conclusion
References
Area and Energy Optimized QCA-Based Binary to Gray Code Converters
1 Introduction
2 Related Work
3 Basics of QCA
4 Design Theory and Implementation
5 Results and Discussion
6 Conclusion and Future Scope
References
Sentiment Analysis on COVID-19 Tweeter Dataset
1 Introduction
2 Literature Review
3 Dataset and Data Preprocessing
4 Result and Discussion
5 Conclusion
References
Developing Arithmetic Optimization Algorithm for Travelling Salesman Problem
1 Introduction
2 Literature Survey
3 Arithmetic Optimization Algorithm
4 Objective Function
5 Results and Discussions
5.1 Experimental Setup
5.2 Convergence Analysis
5.3 Performance Analysis of AOA
5.4 Computational Complexity
6 Conclusion
References
COVID-19 Chest X-ray Image Generation Using ResNet-DCGAN Model
1 Introduction
2 Related Work
3 Proposed Model
4 Experimental Setups
4.1 Dataset Description
4.2 Training Details
5 Experiments and Analysis of the Results
6 Conclusion
References
25 A Framework for Segmentation of Characters and Words from In-Air Handwritten Assamese Text
Abstract
1 Introduction
2 Proposed Approach
2.1 Text Segmentation
2.1.1 Spotting of Boundary Points of Text Components in an IAHT Sequence
2.1.2 Extraction of Valid Text Components and Elimination of External Ligatures
2.1.3 Segregation of Valid Components into Characters and Words
2.2 Post-Processing
3 Experimental Results and Discussion
3.1 Spotting of Boundary Points and Extraction of Valid Components from an IAHT Sequence
3.2 Segregation of Character and Word Components and Post-Processing
3.3 Overall Segmentation Performance
4 Conclusion
References
Cybersecurity in Digital Transformations
1 Introduction
2 Problem Statement
3 Proposed Solution
4 Typesetting of Your Paper at Springer Case Studies
5 Conclusion
References
Comparison of Different Shapes for Micro-strip Antenna Design
1 Introduction
2 Design
3 Results and Discussion
4 Conclusion
References
Time and Frequency Domain Analysis of a Fractional-Order All-Pass Filter
1 Introduction
2 Theoretical Background of Fractional-Order Filter
3 Use of the Oustaloup Approximation Method to Analyze a Fractional-Order All-Pass Filter
3.1 Time Domain Analysis
3.2 Frequency Domain Analysis
4 Discussions
5 Conclusions
References
Cohort Selection using Mini-batch K-means Clustering for Ear Recognition
1 Introduction
2 Methods
3 Database Description and Experiment
4 Experimental Result and Analysis
5 Advantages and Disadvantages
6 Conclusion and Future Scope
References
A Hybrid Connected Approach of Technologies to Enhance Academic Performance
1 Introduction
2 Related Works
3 Proposed Methods and Materials
3.1 A Hybrid LMS System
3.2 Effect of Environment on Academic Performance
3.3 Block Chain Supported IoT-Based Attendance Monitoring System
4 Conclusion
References
Estimation of Path Loss in Wireless Underground Sensor Network for Soil with Chemical Fertilizers
1 Introduction
2 Classification of WUSNs and Deployment Strategies
3 Path Loss Estimation
4 Results and Discussion
5 Conclusions
References
Molecular Communication via Diffusion-An Experimental Setup using Alcohol Molecule
1 Introduction
2 Hardware Implementation of Molecular Communication System
2.1 Transmitter
2.2 Receiver
3 Concentration-based Modulation
3.1 Encoding
4 Performance Analysis with Distance between Transmitter and Receiver
5 Decoding
6 Conclusion
References
Optimal Pilot Contamination Mitigation-Based Channel Estimation for Massive MIMO System Using Hybrid Machine Learning Technique
1 Introduction
2 System Model
3 Optimal Channel Estimation Using Hybrid Machine Learning Technique (OCE-HML)
3.1 Reduce Pilot Contamination Using Discrete Bacterial Optimization-Based Clustering
3.2 Optimal Channel Estimation Using Capsule Learning-Based Convolutional Neural Network
3.3 Hybrid Detector for Multi-cell Massive MIMO
4 Numerical Results
4.1 NMSE Analysis of Proposed and Existing Techniques
4.2 Average Data Rate Analysis of Proposed and Existing Techniques
5 Conclusion
References
Concentration Measurement of Urea in Blood using Photonic Crystal Fiber
1 Introduction
2 Mathematical Approach
3 Result
4 Conclusion
References
Automated Detection of Myocardial Infarction with Multi-lead ECG Signals using Mixture of Features
1 Introduction
2 Materials and Method
2.1 Dataset
2.2 Pre-processing and Detection of R-peaks
2.3 Feature Extraction
2.4 Classification
3 Results
4 Conclusion
References
Metamaterial CSRR Loaded T-Junction Phase Shifting Power Divider Operating at 2.4 GHz
1 Introduction
2 Design Details of Power Divider
3 Fabricated Deign of the Power Divider
4 Experimental Results
5 Conclusion
References
An Adaptive Levy Spiral Flight Sine Cosine Optimizer for Techno-Economic Enhancement of Power Distribution Networks Using Dispatchable DGs
1 Introduction
2 Problem Formulation
2.1 Minimization of Total Active Power Loss (PLoss)
2.2 Minimization of AEL
2.3 Operational Constraints
3 Proposed Algorithm
3.1 Conventional SCA
3.2 Proposed ALSFSCO
4 Application of Proposed Algorithm to Optimal DG Allocation Problem
5 Results and Discussions
6 Conclusion
References
Design of RAMF for Impulsive Noise Cancelation from Chest X-Ray Image
1 Introduction
1.1 Median Filter
2 Literature Survey
3 Method
4 Significance Measures
4.1 PSNR
5 Result
6 Conclusion
References
Smart Street Lightning Using Solar Energy
1 Introduction
1.1 Problem Definition
1.2 Objectives
1.3 Methodology
2 Implementation
3 Simulation and Results
3.1 Simulation
3.2 Results
4 Conclusion and Future Work
References
Fine-Tuning of a BERT-Based Uncased Model for Unbalanced Text Classification
1 Introduction
2 BERT-Based Uncased Model for Unbalanced Text Classification
3 Results and Analysis
3.1 The Data Collection
3.2 Evaluation Criteria
3.3 Analysis from the Outcomes
4 Conclusion and Future Work
References
Segmentation of the Heart Images Using Deep Learning to Assess the Risk Level of Cardiovascular Diseases
1 Introduction
2 Literature Review
3 Deep Learning
4 Results and Discussion
4.1 Program Code
5 Conclusion
References
Integrative System of Remote Accessing Without Internet Through SMS
1 Introduction
2 Related Work
3 Proposed System
3.1 Android Application
3.2 Fetch the Contact
3.3 Profile Migration
3.4 Location Tracking
3.5 Lock the Phone
4 Results and Discussion
5 Conclusion
References
Detect Fire in Uncertain Environment using Convolutional Neural Network
1 Introduction
2 Existing System
3 Proposed System
4 Work Flow
5 Conclusion
References
A Joint Optimization Approach for Security and Insurance Management on the Cloud
1 Introduction
2 Related Work
2.1 Inference from Existing System
3 Proposed System
4 Module Description
4.1 Purchase the Security Services
4.2 Cloud Service
4.3 Protecting Data Traffic
4.4 Claim Insurance
5 Conclusion
References
Improving the Efficiency of E-Healthcare System Based on Cloud
1 Introduction
2 Related Work
3 Existing System
4 Proposed System
4.1 Advantages of Proposed System
5 Modules Description
5.1 User Module
5.2 Registration Module
5.3 Creation Storage and Instance
5.4 Data Protection
5.5 Data Recovery Module
6 Conclusion
References
Analysis on Online Teaching Learning Methodology and Its Impact on Academics Amidst Pandemic
1 Introduction
2 Related Works
2.1 Before Pandemic
2.2 After Pandemic
3 Online Teaching Platforms and Tools
3.1 Teaching Platforms
3.2 Assessment Tools
3.3 Learning Management Tools
3.4 Online Learning Platforms
4 Survey: Results and Discussions
5 Conclusion
References
Real Estate Price Prediction Using Machine Learning Algorithm
1 Introduction
2 Related Work
3 Proposed Work
3.1 Data Collection
3.2 Data Preprocessing
3.3 Data Analysis
3.4 Prediction Models
4 Experimental Results
5 Conclusion
References
An Efficient Algorithm for Traffic Congestion Control
1 Introduction
2 Related Works
3 Suggested Method
3.1 Parking Space Detection Stage
3.2 Feature Extraction and Classification
4 Experimental Results
5 Conclusion
References
LSTM-Based Epileptic Seizure Detection by Analyzing EEG Signal
1 Introduction
2 Algorithm Used
2.1 LSTM
2.2 Spot-Check Algorithms
2.3 Support Vector Machines (SVMs)
3 System Design
4 Database
5 Implementation
5.1 Processing the Data
5.2 Defining the Label
5.3 Fitting Data into the Model
6 Result
7 Conclusions
References
Machine Learning for Peer to Peer Content Dispersal for Spontaneously Combined Finger Prints
1 Introduction
2 Literature Review
3 Proposed Work
3.1 Overview
3.2 System Architecture
3.3 Signature Message Block Download
4 Simulation Results
4.1 Node Login with Peer Process
4.2 Large Compressed Small Hash-Cdn
4.3 Receiving Packet with Packet Strength
5 Conclusion
References
Recognition of APSK Digital Modulation Signal Based on Wavelet Scattering Transform
1 Introduction
2 Material and Methods
2.1 Signal Model
2.2 WST Algorithm
2.3 Classification
3 Results and Discussion
3.1 Setup of Experiment
3.2 Simulation Results
4 Conclusion
References
Novel Method to Choose a Certain Wind Turbine for Al. Hai Site in Iraq
1 Introduction
2 Materials and Methodology
2.1 Weibull Distribution
2.2 Capacity Factor
2.3 Normalized Power
2.4 Turbine Performance Index (TPI)
3 Data Analysis and Interpretation
4 Conclusion
References
Analysis of Pressure and Temperature Sensitivity Based on Coated Cascade FBG-LPFG Sensor
1 Introduction
2 Work Principle of Fiber Grating Sensor
3 Fabrication of FBG-LPFG Sensor
4 TiO2 Coating Technique
5 Experimental Work
6 Result and Discussion
7 Conclusion
References
High Gain of Rectangular Microstrip Patch Array in Wireless Microphones Applications
1 Introduction
2 Analysis of Rectangular Microstrip Antenna
3 The Designed Antennas
3.1 Single Rectangular Microstrip Patch Antenna
3.2 1*2 Rectangular Micro-strip Patch Array Antenna
3.3 2*2 Rectangular Microstrip Patch Array Antenna
3.4 2*4 Rectangular Microstrip Patch Array Antenna
4 Simulation Results and Discussion Using Advanced Design System (ADS)
5 Conclusion
References
Assessment Online Platforms During COVID-19 Pandemic
1 Introduction
2 Problem Statement
3 Questionnaire Contents
4 The Aims of the Study
5 Live Webinar Platforms
6 Method and Procedure
6.1 The Study Community
6.2 Study Tool
6.3 Study Tool Application
6.4 Data Analysis
7 Results and Discussion
8 Conclusion
References
Fabrication and Analysis of Heterojunction System's Electrical Properties Made of Compound Sb2O3:In2O3Si(N,p) Films by Spin Coating
1 Introduction
2 Experimental
3 Results and Discussion
3.1 The Electrical Properties of (Sb2O3:In2O3) Thin Film
4 Conclusions
4.1 Electrical Properties (Hall Effect)
4.2 V Characteristics for Si(p,n)/Sb2O3:In2O3 Heterojunction
References
Generation of Interactive Fractals Using Generalized IFS
1 Introduction
2 Random Fractals
3 Generation of Fractals Using IFS
4 Experimental Setup and Analysis
4.1 Case 1: Fern
4.2 Case 2: Sierpinski Triangle
4.3 Case 3: Koch Curve
4.4 Case 4: Twin Christmas Tree
4.5 Case 5: Castle and Herb Generation
5 Research Challenges
6 Conclusion
References
Real-Time CPU Burst Time Prediction Approach for Processes in the Computational Grid Using ML
1 Introduction
2 Literature Review
3 Proposed Approach
4 Data Set Description
5 Experiments and Results
6 Results and Discussion
7 Conclusion
References
EMG-Based Arm Exoskeleton
1 Introduction
2 Methodology
3 Results and Discussion
4 Conclusion
References
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Advances in Intelligent Computing and Communication

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