Smart Intelligent Computing and Applications, Volume 2: Proceedings of Fifth International Conference on Smart Computing and Informatics (SCI 2021) (Smart Innovation, Systems and Technologies, 283)

Organizing Team: SCI-2021
Preface
Contents
About the Editors
1 Music Recommendation Engine Using Emotion Synthesis Through Facial Recognition
	1.1 Introduction
		1.1.1 Literature Survey
	1.2 Methodology
		1.2.1 Overview of the Proposed System
	1.3 Result and Analysis
	1.4 Conclusion
	References
2 Indian Alphabets and Digits Sign Recognition Using Pretrained Model
	2.1 Introduction
	2.2 Literature Survey
	2.3 Dataset
		2.3.1 Image Characteristics
	2.4 Method
	2.5 Implementation and Results
	2.6 Conclusion
	References
3 HarSaRK_multi_rs: A Hard Real-time Kernel for Multi-core Microcontrollers in Rust Language
	3.1 Introduction
	3.2 Real-Time Kernels and Multi-core Microcontrollers
	3.3 Kernel Architecture
	3.4 Implementation
	3.5 Experimentation
		3.5.1 Illustration of Task Migration Between Cores
	3.6 Conclusion
	References
4 Melody-Based Hindi Song Retrieval Using SVM
	4.1 Introduction
	4.2 Design and Methodology
	4.3 Implementation
		4.3.1 Data Preparation
		4.3.2 Split the Songs
		4.3.3 Extract the Features
	4.4 Results
	4.5 Conclusion and Future Work
	References
5 Analysis of Eye Gaze Response to Predict Cognitive and Behaviour Abilities of an Individual to Determine Developmental Disorders
	5.1 Introduction
	5.2 Literature Survey
	5.3 Methodology
	5.4 Results
	5.5 Conclusion and Scope for Future Enhancements
	References
6 An Efficient Information Retrieval Technique for Document Classification
	6.1 Introduction
		6.1.1 Document Clustering and Classification
		6.1.2 Motivation and Contribution
	6.2 Related Work
	6.3 Proposed Method
		6.3.1 Proposed System Architecture
		6.3.2 Document Reference Class Discovery
	6.4 Experiment Results
	6.5 Conclusion
	References
7 A Featurized Learning Approach for Health Monitoring in Hydraulic Systems Using Multivariate Time Series Data
	7.1 Introduction
	7.2 Related Work
	7.3 Featurized Learning Approach for Health Monitoring in Hydraulic Systems
	7.4 Experimental Results
	7.5 Conclusion
	References
8 Lockdown Phases and Changing Clusters of Indian States with Respect to Number of Cases of COVID-19
	8.1 Introduction
	8.2 Methodology
		8.2.1 Clustering
		8.2.2 Compound Growth Rate
		8.2.3 Doubling Time
	8.3 Result and Discussion
		8.3.1 Scenario Before Lockdown
		8.3.2 Scenario in Lockdown Phase-I
		8.3.3 Scenario in Lockdown Phase-II
		8.3.4 Scenario in Lockdown Phase-III
		8.3.5 Scenario in Lockdown Phase-IV
		8.3.6 Scenario in Lockdown Phase-V
		8.3.7 Scenario in Lockdown Phase-VI
		8.3.8 Scenario in Lockdown Phase-VII
		8.3.9 Scenario During Lockdown Phase-VIII to Phase-X
	8.4 Conclusion
	References
9 Non-invasive Measurement of Blood Sugar Using Near-Infrared Spectroscopy
	9.1 Introduction
	9.2 Working Principle
	9.3 System Design and Calibration
		9.3.1 Overview
		9.3.2 Embedded System Design
		9.3.3 Calibration
	9.4 Results and Discussion
	9.5 Conclusion and Future Scope
	References
10 Design and Development of Silicon Nanowire-Based Pressure Sensor for Medical Applications
	10.1 Introduction
	10.2 Design of Nanowire Piezoresistive Pressure Sensor
	10.3 Simulation of the Model
	10.4 Results and Discussions
	10.5 Conclusion
	References
11 Identifying Stars/Galaxies: A Hybrid Classification for Celestial Sources
	11.1 Introduction
	11.2 Data Set
	11.3 Classification Methods
		11.3.1 Algorithms for Classification
	11.4 Discussion and Results
		11.4.1 Comparison of Performance
		11.4.2 Future Work
	References
12 Contemporary Technique for Detection of Brain Tumor in Fluid-Attenuated Inversion Recovery Magnetic Resonance Imaging (MRI) Images
	12.1 Introduction
	12.2 Related Work
	12.3 Framework for an Automatic Probabilistic EMGMM
	12.4 Results and Discussion
	12.5 Conclusion
	References
13 Word Sense Disambiguation for Indian Regional Language Using BERT Model
	13.1 Introduction
	13.2 Related Works
	13.3 Method
		13.3.1 Dataset Collection
		13.3.2 Dataset Preprocessing
		13.3.3 Training
		13.3.4 Testing
	13.4 Results
	13.5 Conclusion and Future Works
	References
14 Automating the Body Temperature Scanning System and Predictive Analysis Using Machine Learning Models
	14.1 Introduction
	14.2 Literature Survey
	14.3 Methodology
		14.3.1 Hardware Requirements
		14.3.2 Data Acquisition
		14.3.3 AWS Services
		14.3.4 Graphical User Interface
	14.4 Results
		14.4.1 Temperature Prediction
		14.4.2 Forecast Evaluation
	14.5 Conclusion
	References
15 Detection of Face Mask in Thermal Images Using Deep CNN
	15.1 Introduction
	15.2 Literature Survey
	15.3 Proposed Methodology
		15.3.1 Image Acquisition and Dataset Preparation
		15.3.2 CNN Model Building
	15.4 Results
	15.5 Conclusion
	References
16 Deep Learning Network for Face Identification Across Illumination and Blur
	16.1 Introduction
	16.2 Literature Survey
	16.3 Methodology
		16.3.1 Image Restoration with ConvLSTM
		16.3.2 Face Recognition Using CNN
	16.4 Experiment and Results
		16.4.1 Training Database
		16.4.2 Blur Removal
		16.4.3 Face Recognition with Restored Images
	16.5 Conclusion and Future Scope
	References
17 An Enhanced Book Recommendation System Using Hybrid Machine Learning Techniques
	17.1 Introduction
	17.2 Literature Survey
	17.3 Proposed Approach
		17.3.1 Dataset
		17.3.2 Pre-processing
		17.3.3 Algorithms
	17.4 Design Methodology
	17.5 Results
	17.6 Conclusion
	References
18 Cardiovascular Disease Prediction using Machine Learning with Flask API
	18.1 Introduction
	18.2 Literature Survey
	18.3 Proposed System
	18.4 Algorithms and Techniques
	18.5 Data Acquisition
		18.5.1 Data Exploration
		18.5.2 Pre-process Data
		18.5.3 Data Analysis Module
		18.5.4 Data Visualization
	18.6 Experiment Results and Discussion
	18.7 Conclusion
	References
19 An Ensemble CNN Model for Identification of Diabetic Retinopathy Eye Disease
	19.1 Introduction
	19.2 CNN Model
	19.3 Ensemble CNN Model
		19.3.1 Architecture of the Proposed Model
	19.4 Results and Discussions
	19.5 Conclusions
	References
20 She-Safe: An IoT Prototype for Providing Security Using Arduino Uno, Node-RED and MQTT
	20.1 Introduction
	20.2 Literature Survey
	20.3 Design
	20.4 Implementation
		20.4.1 Software Requirements
		20.4.2 Hardware Requirements
	20.5 Results
	20.6 Result Analysis
	20.7 Conclusions and Future Work
	References
21 Performance Optimization of LANMAR Routing Protocol in Mobile Ad Hoc Network Using DoE
	21.1 Introduction
	21.2 Literature Review
	21.3 Research Methodology
	21.4 Taguchi Design of Experiments Technique
	21.5 Data Analysis and Result Discussion
		21.5.1 ANOVA
	21.6 Conclusion
	References
22 Efficient Email Classification Algorithm for Better Customer Support
	22.1 Introduction
	22.2 Background Work
	22.3 Proposed Model
	22.4 Hardware and Software Requirements
	22.5 Conclusion
	References
23 Smart Water Management System in Agriculture using Internet of Things
	23.1 Introduction
	23.2 Proposed System
	23.3 Experimental Work
	23.4 Conclusion
	References
24 Machine Learning for Detection  of Obstructive Sleep Apnoea
	24.1 Introduction
	24.2 Related Work
	24.3 Material and Methods
		24.3.1 Pre-processing
	24.4 The Predictive Models
	24.5 Metrics of Classification
		24.5.1 Classification Report
	24.6 Cross-Validation
		24.6.1 Configuration of k
	24.7 Results
		24.7.1 Feature Importance
		24.7.2 Classification Results
	24.8 Discussion
	24.9 Conclusion
	References
25 Automatic Text Summarization Using Intelligent Systems
	25.1 Introduction
	25.2 Literature Survey
	25.3 Proposed System
		25.3.1 Abstractive Technique of Summarization
		25.3.2 Extractive Summarization
		25.3.3 Steps Involved in Text Summarization
	25.4 Design Methodology
	25.5 Results and Discussion
	25.6 Conclusion
	References
26 Suicide and Depression Detection in Social Media Forums
	26.1 Introduction
	26.2 Literature Review
	26.3 Dataset
		26.3.1 Data Preprocessing
		26.3.2 Proposed Method
		26.3.3 Baseline
	26.4 Results
	26.5 Conclusion and Future Scope
	References
27 A Reliable Patient Indoor Monitoring System Based on IoT in Ambient-Assisted Living
	27.1 Introduction
	27.2 Related Work
		27.2.1 Sensor-Based Health Monitoring System
		27.2.2 Smartphone-Based Health Monitoring Systems
		27.2.3 Microcontroller-Based Health Monitoring Systems
	27.3 Motivation
	27.4 Methods
	27.5 Experimental Setup and Result
	27.6 Discussion
	27.7 Conclusion
	References
28 A Hybrid Model for DDoS Attack Detection Using LSTM-RNN
	28.1 Introduction
	28.2 Related Work
	28.3 Proposed System
		28.3.1 Grey Wolf Optimization
		28.3.2 LSTM-RNN
	28.4 Experiments and Results
	28.5 Conclusion
	References
29 Intelligent Industrial Monitoring Environment for IoT Application Using LoRa-Based Wireless Sensors
	29.1 Introduction
	29.2 Literature Survey
	29.3 Proposed Method
		29.3.1 LoRa
	29.4 Implementation
	29.5 Results and Discussion
	29.6 Conclusion
	29.7 Future Scope
	References
30 Morphological Operation-Based Unsharp Masking Filter
	30.1 Introduction
	30.2 Proposed Enhancement Methodology
		30.2.1 Overview of Unsharp Masking
		30.2.2 Morphological Filter
		30.2.3 Improved UM Filter
	30.3 Results and Discussion
		30.3.1 Image Quality Assessment
		30.3.2 Experimental Results
		30.3.3 Discussion
	30.4 Conclusion
	References
31 Multi-scale Retinex with Chromacity Preservation (MSRCP)-Based Contrast Enhancement of Microscopy Images
	31.1 Introduction
	31.2 Proposed MSRCP-based Contrast Enhancement of Microcopy Images
		31.2.1 Multi-scale Retinex (MSR)
		31.2.2 Multi-scale Retinex with Chromacity Preservation (MSRCP)
	31.3 Results and Discussions
		31.3.1 Image Quality Assessment
		31.3.2 Experimental Results
		31.3.3 Discussions
	31.4 Conclusion
	References
32 Mammogram Image Fusion using Sigmoidal Function and Max. Fusion Rule
	32.1 Introduction
	32.2 Proposed Enhancement and Fusion Methodology
		32.2.1 Overview of Sigmoid Function
		32.2.2 Mammographic Image Fusion
		32.2.3 Proposed Fusion Algorithm
	32.3 Results and Discussion
		32.3.1 Image Quality Assessment
		32.3.2 Experimental Results
	32.4 Conclusion
	References
33 Impact of Climate Change and Land Cover on the Runoff Estimation Using SWAT Modeling
	33.1 Introduction
	33.2 Methodology
	33.3 Results
	33.4 Conclusion
	References
34 Deep Neural Network for Generation and Detection of an Image
	34.1 Introduction
	34.2 Literature Survey
	34.3 Proposed Approach
	34.4 Dataset Description
	34.5 Experiments and Results
	34.6 Conclusion
	References
35 1-Factor Forcing in Certain Nanotori
	35.1 Introduction
	35.2 Preliminaries
		35.2.1 C4C6C8[p,q] Nanotori
		35.2.2 H-Naphtalenic [p, q] Nanotori
	35.3 Conclusion
	References
36 Breast Cancer Prediction Using Machine Learning Techniques
	36.1 Introduction
	36.2 Machine Learning Techniques
	36.3 Literature Survey
	36.4 Proposed Work
		36.4.1 Import Libraries and Dataset
		36.4.2 Data Preprocessing
		36.4.3 Train-Test Split for Evaluation
		36.4.4 Machine Learning Techniques Used for Breast Cancer Prediction
		36.4.5 Performance Analysis
	36.5 Results
		36.5.1 Confusion Matrix
		36.5.2 Performance Analysis Results
	36.6 Conclusion
	References
37 Hindi Speech-Based Healthcare Chatbot
	37.1 Introduction
		37.1.1 Speech Recognition and Speech to Text
		37.1.2 NLTK
		37.1.3 Lemmatization
		37.1.4 AIML
		37.1.5 Classification Algorithms
		37.1.6 Naive Bayes Classifier Algorithm
	37.2 Literature Review
	37.3 Research Methodology
		37.3.1 Keyword Matching
		37.3.2 String Similarity
		37.3.3 Combination of Algorithms
	37.4 Results
	37.5 Conclusion
	References
38 FFV: Facial Feature Vector Image Dataset with Facial Feature Analysis and Feature Ranking
	38.1 Introduction
	38.2 Methodology
	38.3 Analysis
	38.4 Conclusion
	References
39 Smart Healthcare with Fitness Application
	39.1 Introduction
	39.2 Related Works
	39.3 Proposed Methodology
	39.4 Results and Discussion
	39.5 Conclusions and Future Scope
	References
40 Smart Irrigation System for Agriculture 4.0
	40.1 Introduction
	40.2 Related Works
	40.3 Proposed Methodology
	40.4 Results and Discussions
	40.5 Conclusions
	References
41 Crime Rate Analysis and Prediction in Delhi Using Facebook Prophet
	41.1 Introduction
	41.2 Related Works
	41.3 Methodology
		41.3.1 Time Series Forecasting
		41.3.2 Inflection Point Algorithm
		41.3.3 Data Flow Diagram
		41.3.4 Data Collection and Creation of Database
		41.3.5 Analysis of Data
		41.3.6 Error Measurement
	41.4 Discussion
	41.5 Conclusion
	41.6 Future Scope
	References
42 A Generic Blockchain-Based Remote Clinical Monitoring Framework Through Wearable Devices to Mitigate the COVID-19 Pandemic
	42.1 Introduction
	42.2 Background
		42.2.1 Wearable Devices
		42.2.2 Blockchain
		42.2.3 Integration of Blockchain and Edge Computing
	42.3 Literature Survey
	42.4 Blockchain and IoT in Health Care
	42.5 Proposed Blockchain-Based IoT Framework for COVID-19
	42.6 Benefits of Blockchain in Health Care
	42.7 Challenges and Future Work
	42.8 Conclusion
	References
43 A Novel Hybrid JFA-SVM Algorithm for Feature Selection
	43.1 Introduction
	43.2 Background Details
		43.2.1 Importance of Multi-filter Approach
		43.2.2 Basic Firefly Algorithm
		43.2.3 Jumper Firefly Algorithm and SVM
	43.3 Dataset Description with Experimental Study
	43.4 Conclusion
	References
44 Analysis of Sentiments of Twitter Data on Remote Working
	44.1 Introduction
	44.2 Literature Review
	44.3 Research and Methodology
		44.3.1 Data Acquisition
		44.3.2 Text Preprocessing
		44.3.3 Text Analytics
		44.3.4 Sentimental Analysis
	44.4 Discussions and Conclusions
	References
45 Detecting Face Mask for Prevent COVID-19 Using Deep Learning: A Novel Approach
	45.1 Introduction
		45.1.1 Data Accumulation and Annotation
	45.2 Proposed Method
		45.2.1 Methodology
	45.3 Results and Analysis
		45.3.1 YOLOv4 Results
		45.3.2 YOLOv4 Tiny Results
		45.3.3 Analysis
	45.4 Conclusion
	References
46 Heart Disease Detection Through Deep Learning Model RNN
	46.1 Introduction
	46.2 Literature Survey
	46.3 Proposed Methodology
	46.4 Results and Discussions
		46.4.1 Performance Evaluation Based on Precision and Recall
	46.5 Conclusion and Future Scope
	References
47 Vehicular Cloud Computing: Architecture and Its Challenges
	47.1 Introduction
	47.2 Vehicular Networks
	47.3 Vehicular Clouds
		47.3.1 Vehicular Cloud Computing Architecture
		47.3.2 Vehicular Cloud Computation
		47.3.3 Vehicular Cloud Communication
		47.3.4 Storage
		47.3.5 Security of Vehicular Network
	47.4 Conclusion
	References
48 A Study on Sentiment Analysis on It Sector Employees Using K-means Clustering
	48.1 Introduction
		48.1.1 Importance of K-means Clustering in IT Sector
	48.2 Analysis of IT Sector Employees Using K-Means Clustering
	48.3 Evaluation of employee’s Prediction
	48.4 K-Means Clustering Techniques in IT Sector
	48.5 Factors Affecting Efficiency of IT Sector Employees
		48.5.1 Initial Centroids Are Chosen in Clustering
		48.5.2 Distance Calculation in K-Means Clustering Algorithm
	48.6 Conclusions
	References
49 An Escrow-Free and Authenticated Group Key Management in Internet of Things
	49.1 Introduction
	49.2 Literature Review
	49.3 Hybrid Escrow-Free Scheme for IoT
	49.4 Results and Discussion
	49.5 Conclusion
	References
50 Framework for Statistical Machine Recognition and Translation of Ancient Tamil Script
	50.1 Introduction
	50.2 Preprocessing
		50.2.1 RGB-to-Gray Conversion
		50.2.2 Binarization
		50.2.3 Noise Reduction
		50.2.4 Skew Detection and Correction
		50.2.5 Thinning
		50.2.6 Slant Normalization
		50.2.7 Size Normalization
		50.2.8 The Process of Gaining
	50.3 Line Segmentation
	50.4 Feature Extraction
	50.5 Classification
		50.5.1 Feed-Forward Backpropagation Neural Network
		50.5.2 Genetic Algorithm
		50.5.3 Support Vector Machine
	50.6 Purpose
	50.7 Dataset
	50.8 Results and Discussions
	50.9 Conclusion
	References
51 Different Feature Selection Methods Performance Analysis for Intrusion Detection
	51.1 Introduction
	51.2 Related Work
	51.3 Proposed Selection of Features
		51.3.1 Study of Features Selection Methods
		51.3.2 Datasets
	51.4 Experimental Results
	51.5 Conclusion
	References
52 Opportunistic MAC Strategies for Dynamic Cognitive Radio Spectrum
	52.1 Introduction
	52.2 Functions of CR
	52.3 Basic Mechanisms of CR
	52.4 Dynamic Spectrum Access (DSA)
	52.5 Methods for Opportunistic Dynamic Spectrum Access (ODSA)
	52.6 Applications of Cognitive Radio Mesh Network
	52.7 Conclusion
	References
53 Weighted Averaging PSO-Based SWT Method of Image Fusion for X-Ray Mammograms
	53.1 Introduction
	53.2 Image Fusion Using SWT
	53.3 Implementation
	53.4 Assessment of Quality Parameters
	53.5 Results
	53.6 Conclusion
	References
54 A Proactive Threat Hunting Model to Detect Concealed Anomaly in the Network
	54.1 Introduction
		54.1.1 Investigation Based on Hypothesis
		54.1.2 Examination Using Known IoC or IoA
		54.1.3 Examination Using Known IoC or IoA
		54.1.4 Examination Using Known IoC or IoA
	54.2 Literature Survey
		54.2.1 Research Gap
		54.2.2 Graph-Based Forensic Analysis
		54.2.3 Types of Detection
		54.2.4 Behavior Detection
	54.3 Analysis: Marriott/Starwood Data Breach
	54.4 Analysis: Marriott/Starwood Data Breach
	54.5 Result and Discussion
	54.6 Conclusion
	References
55 Botnet Attack Classification with Deep Learning Models
	55.1 Introduction
	55.2 Literature Survey
	55.3 Methodology
		55.3.1 Deep Learning Algorithms
	55.4 Results and Discussion
	55.5 Conclusion and Future Work
	References
56 Phishing URL Identification Using Machine Learning, Ensemble Learning and Deep Learning Techniques
	56.1 Introduction
	56.2 Related Works
	56.3 Proposed Methodology
	56.4 Experiments and Results
	56.5 Conclusion and Future Work
	References
57 Fault Analysis Against Final Round of L-Block
	57.1 Introduction
	57.2 Previous Work
	57.3 L-Block Detailed Specification
		57.3.1 Notations
		57.3.2 Encryption
	57.4 Fault Attack
		57.4.1 Ineffective Stuck-at-Fault Model
		57.4.2 Differential Fault Attack Model
	57.5 Experimental Evaluation and Obtained Results
	57.6 Conclusion
	References
58 Framework for Diabetic Retinopathy Classification
	58.1 Introduction
	58.2 Literature Survey
	58.3 Methodology
		58.3.1 Pre-processing
		58.3.2 Microaneurysms Identification
		58.3.3 Optic Disc Identification
		58.3.4 Exudates Identification
		58.3.5 Framework
	58.4 Results
	58.5 Conclusion
	References
59 Support Vector Machine Classification of Remote Sensing Images with the Wavelet-based Statistical Features
	59.1 Introduction
	59.2 Methodology
	59.3 Results and Discussion
	59.4 Conclusion
	References
Author Index