Recent Trends in Image and Signal Processing in Computer Vision

Preface
Acknowledgements
Contents
About the Editors
Microcontroller-Based Detection of Diabetes and Ketosis State Using Breath Sensors
	1 Introduction
		1.1 Diabetes Mellitus
		1.2 Ketosis and Metabolism
		1.3 Ketosis and Ketoacidosis
		1.4 Breath Acetone: Importance
	2 Design and Implementation
		2.1 Arduino
		2.2 MQ-135
		2.3 Software Implementation
		2.4 Circuit Diagram of the Module
		2.5 MQ135 Calculation
		2.6 Algorithm Flow During Run-Time
	3 Results and Analysis
		3.1 Ensuring the Working of Sensor
		3.2 Normal Ranges of Acetone
		3.3 Comparisons of Data Collected
		3.4 Displayed Result
	4 Conclusion and Future Scope
	References
An Effective Graph-Cut Segmentation Approach for License Plate Detection
	1 Introduction
	2 Related Works
		2.1 Graph-Cut Technique
	3 Proposed Method
		3.1 Data Acquisition
		3.2 Image Preprocessing
		3.3 Feature Extraction
		3.4 Segmentation Using Graph Cut
	4 Results and Discussion
		4.1 Experimental Results
	5 Conclusion
	References
Iterative Filtering-Based Automated Method for Detection of Normal and ALS EMG Signals
	1 Introduction
	2 Database Information
	3 Methodology
		3.1 MUAP Extraction
		3.2 Iterative Filtering Decomposition Method
		3.3 Feature Calculation
		3.4 Analysis Using Kruskal–Wallis Statistical Test
		3.5 Classification
	4 Results and Discussion
	5 Conclusions and Future Scope
	References
A Study of Remote Monitoring Methods for Solar Energy System
	1 Introduction
		1.1 Solar Energy Conversion into Electrical Energy
		1.2 Maximum Power Point Tracking (MPPT)
		1.3 Generation Forecasting
		1.4 Technologies and Theories Previously Implemented
	2 Methodology of Remote Monitoring
		2.1 Methods of Remote Monitoring
	3 Discussion and Comparisons
	4 Conclusions and Future Scope
	References
An Automatic Thermal and Visible Image Registration Using a Calibration Rig
	1 Introduction
	2 Proposed Method
	3 Experiment and Results
	4 Conclusion
	References
Simple Cycle Gas Turbine Dynamic Analysis Using Fuzzy Gain Scheduled PID Controller
	1 Introduction
	2 Modeling of Gas Turbine
	3 Development of PID Controller
		3.1 Fixed Gain PID Control
		3.2 Fuzzy Gain Scheduled PID Control
	4 Simulation Results and Discussion
	5 Conclusion
	References
An Image-Based Android Application for Colorimetric Sensing of Biomolecules
	1 Introduction
	2 Methodology
	3 Results and Discussion
	4 Conclusion
	References
Doppler Ultrasonography in Evaluation of Severe Type 2 Diabetes Mellitus: A Case Study
	1 Introduction
	2 Literatures Survey and Background Study
	3 Case Study: Type 2 Diabetes Mellitus
	4 Results and Discussion
	5 Conclusion
	References
Advancements of Healthcare Technologies: Paradigm Towards Smart Healthcare Systems
	1 Introduction
	2 Most Commonly Applied Advanced Engineering Applications
		2.1 Smart Sensing Technology
		2.2 IoT in Healthcare
		2.3 AI and Big Data in Healthcare
		2.4 PACs
	3 3D Printing
	4 Global Scenario
	5 Cost Analysis
	6 Emerging Trends for New Digital Healthcare Model
	7 Summary
	References
Artificial Intelligence Applications in Nanosized Biomaterial Development
	1 Introduction
		1.1 Overview on Nanotechnology
		1.2 There’s Plenty of Room at the Bottom
		1.3 Nanotechnology in Biology
	2 Medical Technologies
		2.1 Bone Regeneration
		2.2 Skin Grafts
		2.3 ALDR
		2.4 Electrospinning
		2.5 Nanofibers for Wound Recovery
	3 Cell Encapsulation
		3.1 Microencapsulation of Cells
		3.2 Cell Encapsulation Using Nanotechnology
	4 Future Scope of Nanotechnology in Medicine
	5 Conclusion
	References
A Probabilistic Approach to Time Allocation for Intersecting Traffic Routes
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Proposed Model
		3.2 Data Acquisition
		3.3 Data Analysis
	4 Results and Discussion
		4.1 Results of Data Analysis
		4.2 Simulation Using Monte Carlo (MC) Method
		4.3 Comparison of Results with Statistical Calculations
		4.4 Correlation of the Monte Carlo Simulation Results with the Statistically Obtained Results
	5 Conclusion
	References
A Study of Telecardiology-Based Methods for Detection of Cardiovascular Diseases
	1 Introduction
		1.1 Mobile Telecardiology
	2 Methodology
	3 ECG
		3.1 Tele-Echocardiograms
		3.2 Tele-Consultation
		3.3 Tele-Teaching
	4 Artifacts in ECG Signal
	5 Cloud Computing
	6 Encryption/Decryption in ECG
	7 Compression in ECG
	8 Internet of Things (IOT) in ECG
	9 Literature Review
	10 Comparative Study and Discussion
	11 Conclusion
	References
An Update on Medical Data Steganography and Encryption
	1 Introduction
		1.1 Is Data Security Required?
	2 What Is Steganography?
		2.1 Most Commonly Used Steganography Terms Are [11]
		2.2 Cover Medium Used for Steganography [19]
		2.3 Classification Based on Domain of Steganography [19]
		2.4 For Any Steganography Algorithm the Following Parameters Need to Be Considered [8]
	3 Types of Algorithms
		3.1 Masking Algorithm [20, 21]
		3.2 Encryption Algorithm
	4 Types of Encryption Algorithms
		4.1 Encryption Based on SVD and GSVD [27]
		4.2 Image Compression Using SCAN [29]
		4.3 Chaotic Map Encryption [30]
		4.4 Gaussian Elimination Method [31]
		4.5 Goldreich Goldwasser Halevi [31]
		4.6 Rivest–Shamir–Adleman [34]
	5 Applications of Data Security
	6 Conclusion
	References
Texture Ratio Vector Technique for the Classification of Breast Lesions Using SVM
	1 Introduction
	2 Methodology
		2.1 Input Ultrasound Database Images
		2.2 Region of Interest (ROI) Extraction Module
		2.3 Feature Extraction Module
		2.4 Classification Module
	3 Results and Discussion
	4 Conclusion
	References
Error Control Coding for Software Defined Radios Using Soft Computing
	1 Introduction
	2 Software Defined Radio (SDR)
	3 Realizable SDR
	4 Software–Defined Radio Architecture
	5 Where Might SDR Technology Go Ahead?
	6 Bit Error Rate (BER)
	7 Factors Affecting Bit Error Rate (BER)
	8 Modulation Techniques
	9 Defining Problem
	10 Proposed System
	11 Flow Chart of Proposed Work
	12 Result and Analyses
	13 Graphical User Interface of the Proposed Work
	14 Conclusion
	15 Future Scope
	References
Factor-Based Data Mining Techniques in Determining Agri-preneurial Skills
	1 Introduction
		1.1 Objective of the Study
	2 Literature Review
	3 Research Methodology
		3.1 Instrument Development
	4 Findings of the Study
		4.1 Data Analysis
	5 Discussions
	6 Conclusion
	References
Detection of Hate Speech and Offensive Language in Twitter Data Using LSTM Model
	1 Introduction
	2 The Problem of Hate Speech
	3 Related Works
	4 Methodology
	5 Experiments and Results
	6 Conclusions
	References
Enhanced Time–Frequency Representation Based on Variational Mode Decomposition and Wigner–Ville Distribution
	1 Introduction
	2 Wigner–Ville Distribution
	3 Variational Mode Decomposition (VMD) Method
	4 Proposed Method
	5 Results and Discussion
		5.1 Performance Evaluation
	6 Conclusion
	References