Micro-Electronics and Telecommunication Engineering

Name: Micro-Electronics and Telecommunication Engineering | Proceedings of 7th ICMETE 2023
Brand: Springer
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Proceedings of 7th ICMETE 2023

Devendra Kumar Sharma Sheng-Lung Peng Rohit Sharma Gwanggil Jeon(Editor)

Springer (Publisher)

1st Edition

Published on 21. March 2024

XXIV, 815 pages

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978-981-99-9562-2 (ISBN)

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Devendra Kumar Sharma received his B.E. degree in Electronics Engineering from Motilal Nehru National Institute of Technology, Allahabad, in 1989, his M.E. degree from Indian Institute of Technology Roorkee, Roorkee, in 1992, and his Ph.D. degree from National Institute of Technology, Kurukshetra, India, in 2016. He is Professor and Dean of SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, India. He has authored many papers in several international journals and conferences of repute. His research interests include VLSI interconnects, electronic circuits, digital design, testing, and signal processing. He is Life Member of ISTE, Fellow of IETE, and Senior Member of IEEE.

Sheng-Lung Peng is a professor of the Department of Creative Technologies and Product Design in National Taipei University of Business Taiwan, an honorary professor in Beijing Information Science and Technology University, and a visiting professor in Ningxia Institute of Science and Technology, China. He received a B.S. degree in Mathematics from National Tsing Hua University, and the M.S. and Ph.D. degrees in Computer Science from the National Chung Cheng University and National Tsing Hua University, Taiwan, respectively. He is an honorary professor of Beijing Information Science and Technology University, China, and a visiting professor of the Ningxia Institute of Science and Technology, China. He serves as the secretary-general of the ACM-ICPC Contest Council for Taiwan and the regional director of the ICPC Asia Taipei-Hsinchu site. He is a director of the Institute of Information and Computing Machinery, of Information Service Association of Chinese Colleges and Taiwan Association of Cloud Computing.

Rohit Sharma is currently Associate Professor and Head of the Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, India. He is Editorial Board Member and Reviewer of more than 12 international journals and conferences. He serves as Book Editor for 16 different titles His research interests are data networks, data security, data mining, environment and pollution trend analysis, Big Data, IoT, etc. He is Member of ISTE, ICS, IAENG, IACSIT and Senior Member of IEEE.

Prof. Gwanggil Jeon received the B.S., M.S., and Ph.D. (summa cum laude) degrees from the Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea, in 2003, 2005, and 2008, respectively. He is currently Full Professor at Incheon National University, Incheon, Korea. He has published more than 65 papers in journals and 25 conference proceedings. He served as Member of the Technical Program Committee at many international conferences in Poland, India, China, Iran, Romania, and Bulgaria. His area of interest includes IT in Business, IoT in Business, and Education Technology.

Content

Intro
Preface
Contents
Editors and Contributors
Transportation in IoT-SDN Using Vertical Handoff Scheme
1 Introduction
2 Related Work
3 IoT Evolution
4 IoT with Transportation
4.1 IoT in Transportation: Applications
5 Intelligent Transportation Using a Vertical Handoff Method Based on Software-Defined Networks
6 Brief Analysis of Various Proposed Schemes and Results
7 Conclusion
References
MLP-Based Speech Emotion Recognition for Audio and Visual Features
1 Introduction
2 Review of Literature Research
3 Problem Statement
3.1 Dataset Description
3.2 Dataset Details
4 Proposed System
4.1 Data Exploration
4.2 Feature Extraction
5 Classifiers
5.1 Multi-layer Perceptron
5.2 Support Vector Machine
5.3 Random Forest Classifier
5.4 Decision Tree
6 Experimental Results
7 Conclusion
References
Drain Current and Transconductance Analysis of Double-Gate Vertical Doped Layer TFET
1 Introduction
2 Schematics of VDL-TFET
3 Simulations and Result
4 Conclusion
References
OpenFace Tracker and GoogleNet: To Track and Detect Emotional States for People with Asperger Syndrome
1 Introduction
2 Related Works
3 Methodology
3.1 Data Preprocessing
3.2 Cues Generation
3.3 Training Step
4 Results and Discussions
5 Conclusion
References
Vehicle Classification and License Number Plate Detection Using Deep Learning
1 Introduction
2 Literature Review
3 Proposed Model
4 Result
5 Conclusion
References
Car Price Prediction Model Using ML
1 Introduction
2 Literature Review
3 Proposed Model
3.1 Algorithm
4 Result
5 Conclusion
6 Future Scope
References
Effects of Material Deformation on U-shaped Optical Fiber Sensor
1 Introduction
2 Theory
3 Design Considerations and Results
3.1 Sensor Characteristics
3.2 Evanescent Wave Absorbance
3.3 Sensitivity
4 Conclusion
References
Classification of DNA Sequence for Diabetes Mellitus Type Using Machine Learning Methods
1 Introduction
2 Related Works
3 Proposed System
4 Dataset
5 Data Preprocessing
5.1 Handle Missing Values
5.2 List to String
5.3 K-mer
5.4 Oversampling
5.5 Ordinal Encoding
5.6 Min-Max Normalization
6 Feature Selection
6.1 ANOVA
6.2 F-Regressor
6.3 Mutual Information
7 Classification
7.1 Random Forest
7.2 Gaussian NB
7.3 Support Vector Machine
7.4 Decision Tree
8 Results and Discussion
9 Conclusion
References
Unveiling the Future: A Review of Financial Fraud Detection Using Artificial Intelligence Techniques
1 Introduction
2 Literature Review
2.1 Machine Learning Techniques for Financial Fraud Detection
2.2 Deep Learning for Financial Fraud Detection
2.3 Ensemble Methods for Financial Fraud Detection
2.4 Unsupervised and Semi-supervised Learning for Financial Fraud Detection
2.5 Explainable AI for Financial Fraud Detection
2.6 Feature Selection and Feature Engineering
3 Models and Methodologies
3.1 FDS of Bayesian Learning and Dempster-Shafer Theory
3.2 The Evolutionary-Fuzzy System
3.3 Deep Artificial Neural Networks
3.4 BLAST-SSAHA Hybridization
3.5 Decision Tree
4 Conclusion
References
Remodeling E-Commerce Through Decentralization: A Study of Trust, Security and Efficiency
1 Introduction
2 Background and Related Work
3 Research Approach
3.1 Study Design
3.2 Proposed System Architecture
3.3 Implementation Methodology
4 Result
4.1 Gas Fees and Time Cost Analysis
4.2 Reliability Analysis
5 Conclusions and Future Scopes
5.1 Conclusions
5.2 Future Scopes
References
Estimation of Wildfire Conditions via Perimeter and Surface Area Optimization Using Convolutional Neural Network
1 Introduction
2 Existing Systems
3 Proposed System Architecture
4 Module Implementation
4.1 Collection of Data
4.2 Preprocessing the Data
4.3 Extraction of Features
4.4 Evaluating the Model
5 Result Analysis
6 Conclusion
7 Future Enhancements
References
A Framework Provides Authorized Personnel with Secure Access to Their Electronic Health Records
1 Introduction
2 Literature Survey
3 Proposed Security Framework
4 Key Features of the Proposed Security Framework
5 Experimental Results and Discussion
6 Conclusion and Future Enhancement
References
Explainable Artificial Intelligence for Deep Learning Models in Diagnosing Brain Tumor Disorder
1 Introduction
2 Literature Review
3 XAI Approaches
3.1 Local Interpretable Model-Agnostic Explanations (LIMEs)
3.2 SHapley Additive ExPlanations (SHAPs)
3.3 Integrated Gradients
3.4 Gradient-Weighted Class Activation Mapping (Grad-CAM)
4 Results and Discussion
5 Conclusion
References
Pioneering a New Era of Global Transactions: Decentralized Overseas Transactions on the Blockchain
1 Introduction
2 Existing Solution
2.1 International Wire Transfer
2.2 Transactions via Cryptocurrency
3 Proposed Solution by Conversion of Fiat Currency
3.1 A Unified Payment Interface Decentralized Finance App Works Globally
4 Conclusion
References
A Perspective Review of Generative Adversarial Network in Medical Image Denoising
1 Introduction
2 Related Works
3 Various Types of Image-Denoising Methods Using GAN
4 Performance Metrics
5 Significance of Image Denoising Utilizing GAN
6 Conclusion
References
Osteoporosis Detection Based on X-Ray Using Deep Convolutional Neural Network
1 Introduction
2 Related Works
3 Proposed System
4 Methodology
4.1 Preprocessing
4.2 Smudging
4.3 Deep Convolutional Neural Network (DCNN)
5 Result Analysis and Discussion
6 Conclusion
References
Fault Prediction and Diagnosis of Bearing Assembly
1 Introduction
2 Hardware Designing
2.1 AC Motor
2.2 T-Coupling
2.3 Setup Holding Base
2.4 Ball Bearing
2.5 Shaft
2.6 Pulley and Belt
2.7 Load Controller
2.8 Electronic Weight Machine
2.9 NI DAQ Card
2.10 Vibration Sensor
3 Experimental Procedure
4 Simulation for Fault Diagnosis
4.1 Parameter and Operating Conditions
5 Result
5.1 Plots for Different Loads
6 Conclusion
7 Summary
8 Future Scope
References
Bearing Fault Diagnosis Using Machine Learning Models
1 Introduction
2 Methodology
2.1 SVM
2.2 SVM Kernels
2.3 KNN
2.4 Decision Tree
2.5 Random Forest
2.6 Regression
3 Methodology of Machine Learning Model
4 Techniques for Extracting and Selecting Features from Data
5 Relationship Between the Statistical Features
6 Data Description
7 Comparative Study of Statistical Features
8 Result
9 Conclusion
10 Summary
11 Future Scope
References
A High-Payload Image Steganography Based on Shamir's Secret Sharing Scheme
1 Introduction
2 Related Work
3 Proposed Steganography Technique
3.1 Secret Distributing Scheme (SDS)
3.2 Shamir's Secret Sharing (SSS) Scheme for Protecting Hidden Secret Information
3.3 Proposed PVD-Based Steganography Method
4 Results and Experimental Findings
4.1 Robustness and Varying Embedding Capacity
4.2 Comparative Analysis
5 Conclusion
References
Design and Comparison of Various Parameters of T-Shaped TFET of Variable Gate Lengths and Materials
1 Introduction
2 Device Structure and Simulation
3 Comparative Analysis on Devices and Discussion
3.1 ON Current and OFF Current
3.2 Subthreshold Swing (SSavg)
3.3 Transconductance (gm)
4 Results
4.1 Transfer Characteristics of Device
4.2 Transconductance Analysis (gm)
4.3 Band-to-Band Tunneling
4.4 Electric Field
4.5 Surface Potential
5 Conclusion
References
Experiment to Find Out Suitable Machine Learning Algorithm for Enzyme Subclass Classification
1 Introduction
2 Background
3 Brief Description of Methods Used in the Study
3.1 Experiment Using Logistic Regression Model
3.2 Experiment Using SVM
3.3 Experiment Using Random Forest
4 Computational Procedure
5 Data
6 Results and Discussion
7 Conclusion and Future Work
References
Iris Recognition Method for Non-cooperative Images
1 Introduction
2 Structure of Iris
3 Iris Segmentation
4 Literature Review
5 Methodology
5.1 Image Acquisition
5.2 Segmentation
5.3 Iris Normalization
5.4 Features Extraction (Iris Code)
5.5 Matching
6 Results
7 Conclusions
References
An Exploration: Deep Learning-Based Hybrid Model for Automated Diagnosis and Classification of Brain Tumor Disorder
1 Introduction
2 Literature Review
3 Methodology
4 Results and Discussion
5 Conclusion
References
Recognition of Apple Leaves Infection Using DenseNet121 with Additional Layers
1 Introduction
2 DenseNet with Additional Layers
2.1 Preprocessing
2.2 Architecture
3 Dataset
4 Results
5 Conclusion
References
Techniques for Digital Image Watermarking: A Review
1 Introduction
2 Watermarking Techniques
3 Foundations of Presented Work
4 Process of Watermarking
5 Characteristics of Watermarking
6 Parameters of Quality Evaluation
7 Applications of the Image Watermarking
8 Conclusion
References
Improved Traffic Sign Recognition System for Driver Safety Using Dimensionality Reduction Techniques
1 Introduction
2 Literature Review
3 Proposed Methodology for Model Design
3.1 Feature Selection and Dimensionality Reduction Approach
4 Experimental Results Using ML Classifier Algorithms
5 Conclusion
References
Detection of Fake Reviews in Yelp Dataset Using Machine Learning and Chain Classifier Approach
1 Introduction
2 Fake Reviews' Detection Challenges
3 Fake Reviews' Categorization
4 Why We Chose the Yelp Dataset
5 The Problem of Research Work
6 Related Work
7 Proposed System
8 Experimental Results
8.1 Preprocessing Raw Data
8.2 Preprocessing for Modeling
8.3 Classification Model
9 Conclusion
References
Data Governance Framework for Industrial Internet of Things
1 Introduction
1.1 Research Aims and Objectives
1.2 Statement of the Problem and Research Questions
1.3 Research Motivation
2 Literature Survey
3 Literature Survey
4 The Proposed Framework Design for IIoT Data Governance
5 Method for Designing IIoT Data Governance Framework
6 Results
7 Conclusions and Future Works
References
IOT-Based Water Level Management System
1 Introduction
2 Literature Survey
3 Proposed System
4 Results and Discussions
5 Conclusion
References
A Review on Privacy Preservation in Cloud Computing and Recent Trends
1 Introduction
1.1 Security and Privacy
2 Anonymization-Based Techniques
2.1 Background
2.2 Calling of Generic Function for Data Anonymization
3 Access Control-Based Techniques
3.1 Background
4 Hybrid Technique
5 Comparison of Different Privacy Preservation Techniques
6 Recent Trends in Privacy Preservation
7 Conclusion
References
EEECT-IOT-HWSN: The Energy Efficient-Based Enhanced Clustering Technique Using IOT-Based Heterogeneous Wireless Sensor Networks
1 Introduction
2 Literature Review
3 Proposed Methodology
4 Result Analysis and Discussion
5 Conclusion
References
IoT-Based Smart System for Fire Detection in Forests
1 Introduction
2 Related Works
3 Materials and Methods
4 Results and Discussion
5 Conclusion
References
Machine Learning Approach to Lung Cancer Survivability Analysis
1 Introduction
2 Literature Survey
3 Lung Cancer Survivability Analysis and Prediction Model
4 Examine the Outcomes
5 Conclusion
References
Application of Analytical Network Processing (ANP) Method in Ranking Cybersecurity Metrics
1 Introduction
2 Literature Review
3 Methodology
3.1 Cybersecurity Metrics
3.2 Cybersecurity Metrics Evaluation Using ANP
4 Results and Analysis
5 Conclusions and Future Research
References
Advanced Real-Time Monitoring System for Marine Net Pens: Integrating Sensors, GPRS, GPS, and IoT with Embedded Systems
1 Introduction
2 Similar Works
3 Proposed System's Key Components and Architecture
4 Hardware Setup and Operational Principles: Sea-Cages Monitoring Station
5 Operating Mechanism of the Remote Monitoring Center
5.1 System Architecture
5.2 Digital Framework
5.3 Efficient Data Transmission to IoT Cloud Using MQTT Protocol
5.4 HTTP: Facilitating Communication Between Client Devices and Node-RED
6 Conclusion
References
Harnessing Machine Learning to Optimize Customer Relations: A Data-Driven Approach
1 Introduction
2 Literature Review
3 Machine Learning in CRM
4 Proposed Method
4.1 Data Collection
4.2 Data Preprocessing
4.3 Feature Engineering
4.4 Training of Model
4.5 Real-Time Prediction and Recommendation
4.6 Machine Learning Methodologies
5 Conclusion
References
Immersive Learning Using Metaverse: Transforming the Education Industry Through Extended Reality
1 Introduction
2 Existing Studies in Metaverse
2.1 AI and Blockchain Using Metaverse
2.2 IOT and Cloud Computing Uses Metaverse
2.3 Uses of Metaverse in Different Sectors
3 Key Research-The Metaverse in Education
3.1 Anatomy of the Eye-Visual Learning
4 Designing Educational Experiences in the Metaverse
4.1 Lesson Objectives for Toyota Engine Environment in XR
4.2 Start Experience of Activities
5 Conclusion
References
Internet of Things Heart Disease Detection with Machine Learning and EfficientNet-B0
1 Introduction
2 Related Works
3 Proposed System
4 Result and Discussion
5 Conclusion
References
Deep Learning in Distance Awareness Using Deep Learning Method
1 Introduction
2 Related Study
3 Proposed Methodology
4 Result and Discussion
5 Conclusion
References
Analysis of Improving Sales Process Efficiency with Salesforce Industries CPQ in CRM
1 Introduction
2 Literature Review
3 Research Methodology
4 Research Results and Analysis
4.1 Interview Results
4.2 Process Flows
4.3 Hypothesis Test for Quote Generation
4.4 End Result
5 Discussion
5.1 Advantages of Salesforce Industries CPQ
5.2 Challenges Using Salesforce Industries CPQ
6 Conclusions
6.1 Future Recommendations
References
Analyze and Compare the Public Cloud Provider Pricing Model and the Impact on Corporate Financial
1 Introduction
2 Literature Survey
3 Proposed Work
3.1 Research Design
3.2 Participants and Procedures
4 Result and Discussion
4.1 Database Pricing
4.2 Storage Pricing
4.3 Compute (VM) Pricing
4.4 AD Services
4.5 Pricing Influence on Cloud Service Adoption Among Corporate Financials
4.6 Growth
4.7 Duck Greek Technology (Small-Scale Company)
4.8 Business Outlook
4.9 Mondelez International (Mid-Scale Company)
5 Conclusion
References
A Data-Driven Analytical Approach on Digital Adoption and Digital Policy for Pharmaceutical Industry in India
1 Introduction
2 Literature Review
3 Research Methodology
4 Analysis
4.1 Financial Performance and Corporate Social Responsibility
4.2 SWOT Analysis
4.3 Digital Adoption
4.4 Strategic Priorities and Growth Outlook
5 Conclusions and Recommendations
References
Framework for Reverse Supply Chain Using Sustainable Return Policy
1 Introduction
2 Literature Survey
3 Existing System
4 Proposed System
5 Algorithm Used
5.1 Multiple Linear Regression for Carbon Footprint Prediction
5.2 Multiple Layer Perceptron for Reward Prediction
5.3 Characteristics of Data
6 Design
7 Results and Discussion
8 Conclusion
9 Future Scope
References
Sentiment Analysis Survey Using Deep Learning Techniques
1 Introduction
1.1 Sentiment Analysis Procedure
2 Related Work
3 Deep Learning Techniques
4 Evaluation Measures
5 Open Challenges and Future Directions
6 Conclusion
References
Identifying Multiple Diseases on a Single Citrus Leaf Using Deep Learning Techniques
1 Introduction
2 Methodology
2.1 Dataset
2.2 Intelligent Classifiers
2.3 Methodology Diagram
3 Results
4 Conclusion and Future Scope
References
IoT-Based Health Monitoring System for Heartbeat-Analysis
1 Introduction
1.1 Internet of Things is Everywhere
1.2 Remote Monitoring-An Essence of IoT
2 Literature Survey
3 Methodology
3.1 Internet of Things is Everywhere
4 Results
5 Conclusion
References
A Study and Comparison of Cryptographic Mechanisms on Data Communication in Internet of Things (IoT) Network and Devices
1 Introduction
2 Literature Survey
3 Background
3.1 Cryptography
3.2 IoT and the Popular IoT Encryption Methods
3.3 The Challenges of IoT Cryptography
4 IoT Networking and Security (Lightweight Security LWS)
5 Conclusion and Future Work
References
Fake News Detection Using Data Science Approaches
1 Introduction
2 Related Study
3 Proposed Model
3.1 Design and Architecture of the Model
4 Result Analysis
5 Conclusion
References
Reversible Data-Hiding Scheme Using Color Coding for Ownership Authentication
1 Introduction
2 Literature Review
3 Proposed Scheme
3.1 Data-Hiding Process
3.2 Data Abstraction Process
4 Results and Discussion
5 Conclusion
References
Comprehensive Approach for Image Noise Analysis: Detection, Classification, Estimation, and Denoising
1 Introduction
2 Related Works
3 Research Tools
3.1 Convolution Neural Network
3.2 Deep Wavelet Transforms
3.3 SVM Classifier
3.4 Maximum Likelihood Estimation (MLE)
3.5 Denoising Techniques
4 Methodology
4.1 Preprocessing
4.2 Noise Detection
4.3 Noise Classification
4.4 Noise Estimation
4.5 Noise Reduction
5 Result Analysis and Discussion
5.1 Performance of the Proposed CNN
5.2 Performance of the Classification Model
5.3 Performance of the Estimation Method
5.4 Performance of the Denoising Method
6 Conclusion
References
Optimal Path Selection Algorithm for Energy and Lifetime Maximization in Mobile Ad Hoc Networks Using Deep Learning
1 Introduction
2 Related Work
3 Proposed Methodology
4 Result and Discussion
5 Conclusion
References
Automated Air Pollution Monitoring System
1 Introduction
2 Literature Review
3 Materials and Methods
4 Results and Discussion
5 Conclusion
References
Simulation and Implementation of Solar Charge Controller by MPPT Algorithm
1 Introduction
2 Proposed Method
3 Boost Converters
4 Pertrub and Observe Method
4.1 Simulink Diagram
4.2 Output Waveforms
5 Incremental Conductance Method
5.1 Simulation Diagram
6 Fuzzy Logic Method
6.1 Simulation Diagram
6.2 Output Waveform
7 Hardware Implementation
8 Results and Discussion
9 Conclusion
References
Nanoscale Multi-gate Graded Channel DG-MOSFET for Reduced Short Channel Effects
1 Introduction
2 Device Specifications
3 Results and Discussion
3.1 Effect of Graded Channel
3.2 Effect of Gate Electrode
3.3 Effect of Multi-gate
3.4 Analysis of DIBL
4 Conclusion
References
Performance Enhancement and Scheduling in Communication Networks-A Review into Various Approaches
1 Introduction
1.1 Contributions of the Survey
1.2 Paper Organization
2 Literature Survey
2.1 General Scheduling Methods
2.2 ML/DRL-Based Scheduling
3 Performance Metrics
4 Comparative Analysis
5 Open Issues
6 Conclusion
References
A Survey of Network Protocols for Performance Enhancement in Wireless Sensor Networks
1 Introduction
2 Different Types of Network Protocols
3 Review of Routing Protocols in Wireless Sensor Networks
4 Conclusion
References
Airbnb Price Prediction Using Advanced Regression Techniques and Deployment Using Streamlit
1 Introduction
2 Problem Identification
3 Literature Review
4 Methodology
5 Datasets and Algorithms Discussed
6 Proposed System Design
7 UML Class Diagram
8 Results and Discussion
9 Comparative Study
10 Deployment
References
Tiger Community Analysis in the Sundarbans
1 Introduction
2 Materials and Methods
2.1 Study Area
2.2 Topography (Vegetation Mapping) of Sundarbans
2.3 Prey Distribution in Sundarbans
2.4 Data Analysis and Interpretation
3 Results and Discussion
3.1 Movements of Tigers in Sundarbans Landscape
3.2 The Influence of Vegetation on the Temporal Displacement of Tigers
3.3 Impact of Prey Distribution in Region
4 Conclusion
References
An Overview of the Use of Deep Learning Algorithms to Predict Bankruptcy
1 Introduction
2 Datasets Considered
3 Classification Algorithm Compared
3.1 DBN
3.2 LSTM
3.3 MLP-6l
3.4 Random Forest (RF)
4 Development Setup
5 Result
6 Conclusion
References
An Analytical Study of Improved Machine Learning Approaches for Predicting Mode of Delivery
1 Introduction
2 Literature Review
3 Proposed Model
3.1 Dataset
3.2 Data Visualization
4 Description of Algorithm Used
4.1 J48
4.2 Logistic Model Trees
4.3 Random Forest
4.4 Random Tree
4.5 Multilayer Perceptron
5 Results and Discussion
6 Conclusion
7 Future Scope and Summary
References
Comparative Study of Different Document Similarity Measures and Models
1 Introduction
2 Different Document Similarity Measures and Models
2.1 Cosine Similarity
2.2 Jaccard Similarity
2.3 Euclidian Distance
2.4 Latent Semantic Analysis (LSA)
2.5 Latent Dirichlet Allocation (LDA)
2.6 Bidirectional Encoder Representations from Transformers (BERTs)
2.7 Robustly Optimized BERT Approach (RoBERTa)
3 Methodology
4 Conclusion
References
Schmitt Trigger Leakage Reduction Using MTCMOS Technique at 45-Nm Technology
1 Introduction
2 Consumption of Energy Using CMOS Technique
3 FinFET-Based Schmitt Trigger Circuit Description
4 Reduction of Leakage of a FinFET-Based Schmitt Trigger Using MTCMOS
5 Simulation Results
6 Conclusion
References
A Review of Survey and Assessment of Facial Emotion Recognition (FER) by Convolutional Neural Networks
1 Introduction
1.1 Terminology
1.2 Contributions of This Review
1.3 Organization of This Review
2 Conventional FER Approaches
3 Deep Learning-Based FER Approaches
4 Result
5 Conclusion
6 Future Scope
7 Summary
References
A New Compact-Data Encryption Standard (NC-DES) Algorithm Security and Privacy in Smart City
1 Introduction
2 IoT Security
3 The Proposed Lightweight NC-DES Algorithm
3.1 Structure of NC-DES
3.2 NC-DES Encryption
3.3 Details of Single Round
3.4 Key Generation
3.5 NC-DES Decryption
3.6 Analysis of the Cipher
4 The Proposed Remote Patient Monitoring System (RPMS)
5 Conclusion and Future Work
References
Design, Development, and Mathematical Modelling of Hexacopter
1 Introduction
2 Mathematical Model of the Hexacopter Developed
2.1 Structure of the Hexacopter
2.2 Coordinate Systems of the Drone
2.3 Drone's Point of View and Axis of Rotation
2.4 Rotation Matrices
2.5 Motion Equation of the Hexacopter
2.6 Forces Acting on the Hexacopter
2.7 Moments Acting on the Hexacopter
2.8 Motor Speed Loss Calculation
2.9 Airflow Velocity Calculation on the Rotor Blade Profile
3 Material for Making Hexacopter
4 Conclusion
References
A Keypoint-Based Technique for Detecting the Copy Move Forgery in Digital Images
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 SURF
3.2 Accelerated-KAZE (AKAZE)
3.3 Scale-Invariant Feature Transform (SIFT)
4 Results and Analysis
5 Conclusion
References
Correction to: Machine Learning Approach to Lung Cancer Survivability Analysis
Correction to: Chapter "Machine Learning Approach to Lung Cancer Survivability Analysis" in: D. K. Sharma et al. (eds.), Micro-Electronics and Telecommunication Engineering, Lecture Notes in Networks and Systems 894, https://doi.org/10.1007/978-981-99-9562-2_33
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Micro-Electronics and Telecommunication Engineering

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