Advances in Signal and Data Processing: Select Proceedings of ICSDP 2019

✍ Scribed by S. N. Merchant (editor), Krishna Warhade (editor), Debashis Adhikari (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 669
• Series: Lecture Notes in Electrical Engineering; 703
• Edition: 1
• Category: Library

✦ Synopsis

This book presents the select peer-reviewed proceedings of the International Conference on Signal and Data Processing (ICSDP) 2019. It examines and deliberates on the recent progresses in the areas of communication and signal processing. The book includes topics on the recent advances in the areas of wired and wireless communication, low complexity architecture of MIMO receivers, applications on wireless sensor networks and internet of things, signal processing, image processing and computer vision, VLSI embedded systems, cognitive networks, power electronics and automation, mechatronics based applications, systems and control, cognitive science and machine intelligence, information security and big data. The contents of this book will be useful for beginners, researchers, and professionals interested in the area of communication, signal processing, and allied fields.

✦ Table of Contents

Preface
Contents
About the Editors
Deep Semantic Segmentation for Self-driving Cars
1 Introduction
2 Related Work
2.1 SegNet
2.2 DeepLab
2.3 RefineNet
2.4 Fast Semantic Segmentation
2.5 U-Net for Biomedical Imaging
2.6 PSPNet
3 Proposed Architecture
3.1 VGG16 (Encoder)
3.2 Hierarchical Feature Fusion
3.3 Lightweight Decoder
3.4 Experimental Dataset
3.5 Implementation
4 Experimental Setup and Results
4.1 Architecture
4.2 Results
4.3 Performance Analysis
5 Conclusion
References
Trends in Energy Management System for Smart Microgrid—An Overview
1 Introduction
2 Energy Management System (EMS)—Introduction, Architecture, and Strategies
3 Demand-Side Management
3.1 Classical Methods
3.2 Meta-Heuristic Approach
3.3 Artificial Intelligence Methods
3.4 Stochastic and Robust Programming Approaches
3.5 Model Predictive Control
4 Conclusions and Scope
References
IRIS: An Application for the Visually Impaired Using Google Cloud API
1 Introduction
2 Literature Review
3 Proposed Device and Method
3.1 Construction
3.2 Module Description
3.3 Working
4 Results
5 Conclusion
References
Shot Boundary Detection Using Artificial Neural Network
1 Introduction
1.1 Data Mining
1.2 Shot Boundary Detection (SBD)
1.3 Artificial Neural Networks (ANN)
1.4 Feed-Forward Neural Network
1.5 Proposed Algorithm
2 Results and Discussions
2.1 RGB-HVS Conversion
2.2 Histogram
2.3 Means Log Difference Method
2.4 Shot Boundary Detection Using ANN
2.5 Evaluation and Parameter Calculation
3 Conclusion
References
Custard Apple Leaf Parameter Analysis, Leaf Diseases, and Nutritional Deficiencies Detection Using Machine Learning
1 Introduction
2 Review of Previous Work
2.1 Leaf Parameter Analysis
2.2 Leaf Diseases, Nutritional Deficiencies Classification
3 Proposed Methodology
3.1 Proposed System Implementation
3.2 Leaf Parameters Measurement
3.3 Leaf Diseases and Nutritional Deficiencies Detection
3.4 Algorithm
4 Results and Discussion
4.1 Custard Apple Leaf Parameter Analysis
4.2 Leaf Diseases Detection
4.3 Leaf Nutritional Deficiencies Detection
5 Conclusion
References
Discontinuous PWM Techniques to Eliminate Over-Charging Effects in Four-Level Five-Phase Induction Machine Drives
1 Introduction
2 Conventional SVPWM Technique for the Dual Inverter Fed OeW Five-Phase Motor Drive
3 Scalar-Based PWM Algorithm for Continuous and Discontinuous Modulating Signals
4 Over-Charging of DC-Link Capacitors
5 Result Analysis
5.1 Simulation Results
5.2 Experimental Results
6 Conclusion
References
State of Charge Estimation Using Extended Kalman Filter
1 Introduction
2 Methodology
2.1 Kalman Filter
2.2 Extended Kalman Filter
3 Implementation of EKF on Battery Model
3.1 Battery Model
3.2 Implementation of EKF
3.3 Integration of the Battery Model and EKF
4 Results
5 Conclusion
References
Frequency and Pattern Reconfigurable Antenna for WLAN and WiMAX Application
1 Introduction
2 Antenna Design and Geometry
3 Simulation Results
4 Reconfigurable Operation
5 Conclusion
References
Implementation and Analysis of Low Power Consumption Full Swing GDI Full Adders
1 Introduction
2 Design Steps for Analog Design Flow
3 Design of CMOS Full Adder Circuits
4 Proposed Full Swing GDI Full Adder
5 Design of Combinational Circuit
6 Results
7 Conclusion
References
Single Image Rain Removal Using Convolutional Neural Network
1 Introduction
2 Literature Review
3 Methodology
3.1 Training Data Collection
3.2 Image Preprocessing
3.3 Network Design
3.4 Network Architecture
3.5 Training
4 Experiment
4.1 Parameters Setting
4.2 Result on Synthesized Data
4.3 Result on Real-World Data
4.4 Comparison with Another Rain Removal Methods
5 Conclusion
References
Ring Oscillator-Based Physical Unclonable Functions
1 Introduction
2 Physical Unclonable Function and Its Types
3 Proposed Work
3.1 Experimental Result
4 Conclusion
References
A Robust Approach of Estimating Voice Disorder Due to Thyroid Disease
1 Introduction
2 Proposed Methodology
2.1 Block Diagram
2.2 Database
2.3 Algorithm
3 Results and Discussion
4 Conclusion
References
Smart Glasses: Digital Assistance in Industry
1 Introduction
2 Related Work
2.1 Smart Glasses
2.2 Technology Acceptance Model
2.3 Usability
2.4 Interaction Methods
2.5 The Lying Challenges
3 Methodology
3.1 Motivation
3.2 System Design
3.3 Working
3.4 Block Diagram of the Smart Glasses
4 Results and Discussion
5 Conclusion
References
Implementation of Hand Gesture Recognition System to Aid Deaf-Dumb People
1 Introduction
2 System Models
2.1 Methodology
2.2 System Architecture
3 Implementation and Result Analysis
3.1 Hardware Implementation
3.2 Flow Chart
3.3 Result
3.4 Analysis Part of Result
4 Conclusion
References
Robust Underwater Animal Detection Adopting CNN with LSTM
1 Introduction
2 Proposed System
2.1 Architecture Selection
2.2 Histogram of Gradients (HOG)
2.3 Convolutional Neural Network (CNN)
2.4 Long Short Term Memory (LSTM)
3 Experiments
3.1 Training
4 Results
4.1 Testing
4.2 Analysis
5 Conclusion
References
Face Recognition Using Golden Ratio for Door Access Control System
1 Introduction
2 Proposed System
2.1 Image Preprocessing
2.2 Noise Removing
2.3 Face Detection
2.4 Eye Detection
2.5 Nose Detection
2.6 Mouth Detection
2.7 SVM Classifier
3 Results
4 Conclusion
References
Efficient Design of Drone Flight Control Using Delay Tolerant Algorithm
1 Introduction
2 Methodology
2.1 Task Model
2.2 Scheduling Model
2.3 Communication Model
2.4 Pipe Modeling
2.5 Different Phases of Timing Analysis
3 End-To-End Design
3.1 Problem Definition
3.2 Solution
4 Experiments of the Simulation
4.1 Model 1: Functional Components
4.2 Model 2: Architectural Components
4.3 Modeling Tasks and Scheduler
4.4 Summary of the Results
5 Conclusion
References
Adaptive Background Subtraction Models for Shot Detection
1 Introduction
1.1 Simple Approach Steps
2 Modeling Framework for Adaptive Subtraction:
3 Results and Discussion
3.1 Input and There Result
4 Conclusion
References
Automatic Gear Sorting Using Wireless PLC Based on Computer Vision
1 Introduction
2 Literature Survey
3 Proposed System
3.1 Image Processing
3.2 Conveyor Belt
3.3 Open PLC
3.4 Wi-Fi Module
4 Results
4.1 Android App
4.2 Image Analysis
5 Conclusion
References
Statistical Validity of Presmoking and Postsmoking Impact on Heart Rate Variability Among Middle Age Men
1 Introduction
2 Method
3 Results
4 Discussion
5 Conclusion
References
Transition Based Odd/Full Invert Coding Scheme for Crosstalk Avoidance and Low Power Consumption in NoC Links
1 Introduction
2 Related Works and Contributions
3 Proposed TBO/FI Coding Scheme
3.1 TBO/FI Encoder
3.2 TBO/FI Decoder
4 Results and Discussions
4.1 Switching Activity Reduction in Coding Schemes
4.2 Power Consumption, Area Occupancy, Delay, and Bit Overhead of Different Codecs
4.3 Power Savings Due to the Coding Schemes
4.4 Performance of the Coding Schemes
5 Conclusion
References
Feature-Based Model for Landslide Prediction Using Remote Sensing and Digital Elevation Data
1 Introduction
1.1 The Area Under the Study
2 Methodology
2.1 Slope Map
2.2 Aspect Map
2.3 Elevation Map
2.4 Hydrological Parameter
2.5 Rating Scheme Used
2.6 Knowledge-Based
3 Results and Discussions
4 Conclusion
References
Acoustic Classification of Bird Species
1 Introduction
2 Elementary Concepts and Organization of Bird Sounds
3 System Overview
3.1 Pre-processing and Filter Banks
3.2 Classification
4 Dataset and Experimental Results
5 Conclusion
References
Analysis of Chronic Joint Pain Using Soft Computing Techniques
1 Introduction
2 Literature Review
3 Sampling Methodology
4 Data Acquisition
5 Feature Classification and Analysis
6 Results and Conclusions
References
Emotion Recognition using Gamma Correction Technique Applied to HOG and LBP Features
1 Introduction
2 Implemented System
2.1 Preprocessing
2.2 Feature Extraction
3 Performance Analysis
3.1 Setup for Experimentation
3.2 Results
4 Conclusion
References
Scalable and Rapid Fault Detection of Memories Using MBIST and Signature Analysis
1 Introduction
1.1 Generalized Block Diagram of a MBIST Engine
2 Faults in Memories
2.1 Stuck-at Faults
2.2 Transition Faults
2.3 Coupling Faults
3 Algorithms for Fault Detection
4 Conventional Architectures and Drawbacks
4.1 FSM Based Approach
4.2 Micro-code-based Approach
4.3 Programmable MBIST
5 Proposed New Architecture
5.1 Recommended Mode of Operation
5.2 MBIST Engine Micro Architecture
5.3 Memory Interface Check MISR
5.4 Memory Pre-Check MISR
5.5 The Control Word
6 Functional Verification and Benchmark
7 FPGA and ASIC Implementation
7.1 FPGA Implementation
7.2 ASIC Implementation
8 Conclusion and Future Scope
Reference
Analyzing Vocal Tract Parameters of Speech
1 Introduction
2 Formant Estimation Algorithm
3 Results and Discussion
4 Conclusion
References
Effect on Quality of 3D Model of Plant with Change in Number and Resolution of Images Used: An Investigation
1 Introduction
1.1 3D Recovery of Plants
2 Materials and Method
2.1 Image Acquisition
2.2 3D Modeling
2.3 Investigation Parameters
2.4 Measurement of Plant Features from the Reconstructed 3D Model
3 Results and Discussion
3.1 3D Modeling
3.2 Investigation Parameters
4 Conclusion and Future Work
References
Comparative Analysis of Least Squares Method and Extended Kalman Filter for Position Estimation in GPS Receiver
1 Introduction
2 Working of GPS Receiver
2.1 Hardware Section
2.2 Software Section
3 Position Estimation Techniques
3.1 Least-Squares Method
3.2 Extended Kalman Filter (EKF)
4 Experimental Results
5 Conclusions
References
Fair Scheduling Non-orthogonal Random Access for 5G Networks
1 Introduction
2 Literature Review
2.1 Limitations of Zadoff–Chu Involved NORA Method
3 Fair Scheduling Access for NORA (FSNORA)
3.1 System Model of the Proposed FSNORA Method
3.2 Performance Evaluation
4 Results and Discussion
5 Conclusion
References
Analysis of Tree-Based Classifiers for Web Attack Detection
1 Introduction
2 Literature Work
3 Proposed System
4 System Implementation and Result Analysis
4.1 Dataset Description
4.2 Implementation
5 Conclusion
References
Implementation of Random Pulse Width Modulation Techniques for the Open-End Winding Five-Phase Motor Drives to Reduce Acoustic Noise and Harmonic Distortion
1 Introduction
2 Random Reference PWM Technique
3 Random Carrier PWM Technique
4 Random Reference and Random Carrier PWM Technique
5 Random Carrier Selection and Random Variable Switching Frequency PWM Technique
6 Experimental Results and Discussion
6.1 Harmonic Spectrum Analysis
6.2 Periodogram Power Spectral Analysis
6.3 Pseudo-Spectrum Analysis
6.4 Power Spectral Density Estimator
7 Conclusion
References
A Frequency Reconfigurable Antenna for Sub-GHz and TV White Space Applications
1 Introduction
2 Antenna Design and Structure
3 Simulated Results
4 Measured Results
5 Conclusion
References
Human Activity Recognition Using Positioning Sensor and Deep Learning Technique
1 Introduction
2 Related Work
3 Dataset and ML Techniques
3.1 UTD MHAD Dataset
3.2 Machine Learning Techniques for HAR
4 Proposed Environment
5 Results and Discussion
6 Conclusion
References
A Discriminative Model for Multiple People Detection
1 Introduction
2 Related Work
3 Histogram of Oriented Gradients-Based Multiple Person Detection
4 Haar Transform Feature Based Multiple People Detection
5 Experimental Approach
5.1 Group Activity Categories
5.2 Occlusion Existence
5.3 Performance Parameter
6 Experimental Results
6.1 Group Activity Categories
6.2 Occlusion Existence
7 Conclusion
References
Jal Sanchay—A Novel Approach for Water Usage Monitoring
1 Introduction
2 System Architecture
3 Methodology
4 Results
5 Conclusion
References
An Algorithm for Skew Angle Estimation and It's Application Domain
1 Introduction
2 Literature Survey
3 Algorithm
4 Flowchart
5 Experimental Analysis
6 Conclusion
References
Analysis of Accuracy of Supervised Machine Learning Algorithms in Detecting Denial of Service Attacks
1 Introduction
1.1 Overview of DoS Attacks and Detection Techniques
1.2 Dataset
1.3 Statistics of the Dataset
2 Related Work
3 Analysis of Results of Various Classification Models
3.1 Preprocessing
3.2 Decision Tree Classifier
3.3 Support Vector Machine
3.4 K-Nearest Neighbour
3.5 Analysis of Accuracy with Decision Tree, Support Vector Machine and KNN
4 Conclusion and Future Scope
References
An Improved Carrier Frequency Offset Estimation Under Narrowband Interference in OFDM Cognitive Radio
1 Introduction
2 Literature Survey
2.1 Synchronization in OFDM
2.2 Synchronization Algorithms in OFDM Cognitive Radio
3 Findings
4 System Model
4.1 Schimdl and Cox Method
4.2 Narrowband Interference Robust Synchronization (NIRS) Method
5 Simulation Results
6 Conclusion
References
Digital Image Watermarking by Fusion of Wavelet and Curvelet Transform
1 Introduction
2 Wavelet Transform
3 Curvelet Transform
4 Proposed Methodology
4.1 Watermark Embedding Process
4.2 Watermark Extraction Process
5 Results and Discussion
6 Conclusion
References
Machine Learning Feature Selection in Archery Performance
1 Introduction
2 Methods
2.1 Sports Fitness and Performance Testing Datasets
2.2 Developing Machine Learning Algorithms for Feature Selection
3 Results
4 Discussion
5 Conclusion
References
Skin Lesion Classification Using Deep Learning
1 Introduction
2 Literature Survey
3 Data
4 Proposed System
4.1 Model
4.2 Working
5 Conduct
6 Results and Discussion
7 Conclusion and Future Work
References
Vehicle-to-Vehicle Driver Safety-Related Data Transmission and Reception Using Li-Fi Technology
1 Introduction
2 Literature Survey
2.1 Overview of V2V Communication
2.2 Advantages of Li-Fi
2.3 Disadvantages of Li-Fi
2.4 Applications Over the Li-Fi Communication
2.5 Use of Li-Fi in V2V communication
3 System Architecture
3.1 Applications for Li-Fi in Real Life for Automobile Considered in Project Are
4 Results
4.1 Simulation Results
4.2 Results Parking Application
4.3 Results Traffic Situation
4.4 Results Drive Application
5 Conclusion
References
A Novel Approach for CBIR Using Four-Layered Learning
1 Introduction
2 Proposed System
2.1 Holistic Descriptor (HD)
2.2 Nonlinear Approximated Ripplet Transform (NART)
2.3 Computational Complexity Analysis
3 Experiments and Results
3.1 Retrieval Accuracy:
4 Conclusion
References
Design of a Power Efficient Multiband Patch Antenna
1 Introduction
2 General Design Process of a Patch Antenna
3 Design Process of Proposed Multiband Antenna
4 Performance Analysis of Designed Multiband Antenna
4.1 S11 Parameter of Proposed Antenna
4.2 VSWR Plot
4.3 Radiation Pattern
5 Conclusion
References
Brain Activity Analysis for Stress Recognition
1 Introduction
2 Methodology
3 Results and Discussion
4 Conclusion
Reference
Deep Learning-Based Paperless Attendance Monitoring System
1 Introduction
1.1 Past Works
1.2 Our Proposed System
2 Proposed Methodology
2.1 CNN Algorithm
3 ReLU
4 Implementation and Results
4.1 Implementation Details
4.2 Discussions
5 Confusion Matrix
5.1 Result
6 Conclusion
References
Image Analytics to Detect Cigarette in an Image Using Deep Learning
1 Introduction
1.1 Motivation of the Work
2 Related Work
3 Proposed Approach
3.1 Explanation of Block Diagram
4 Results and Discussion
4.1 Database Description (Table: Dataset, Images, Size, Classes)
4.2 Generate the TF File
4.3 Primary Results (Correct and Incorrect Results)
4.4 Discussion of Results (Inferences)
4.5 Result Analysis (Graphs and Table) Confusion Matrix
5 Conclusion
References