Advances in Robotics, Automation and Data Analytics

Name: Advances in Robotics, Automation and Data Analytics | Selected Papers from iCITES 2020
Brand: Springer
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Selected Papers from iCITES 2020

Jessnor Arif Mat Jizat Ismail Mohd Khairuddin Mohd Azraai Mohd Razman Ahmad Fakhri Ab. Nasir Mohamad Shaiful Abdul Karim Abdul Aziz Jaafar Lim Wei Hong Anwar P. P. Abdul Majeed Pengcheng Liu Hyun Myung Han-Lim Choi Gian-Antonio Susto(Editor)

Springer (Publisher)

Published on 10. March 2021

XV, 415 pages

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978-3-030-70917-4 (ISBN)

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Content

Intro
Preface
Contents
Editor Biographies
Multilanguage Speech-Based Gender Classification Using Time-Frequency Features and SVM Classifier
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Pre-processing, Framing, Fast Fourier Transform, Filtering, Feature Selection
3.2 Classifier
4 Results and Discussion
4.1 Multilanguage Databases
4.2 Experimental Setup
4.3 Experiment on Speech Analysis of Male and Female Speech Signals
4.4 Experiment on Gender Classification Using SVM
5 Conclusions and Future Works
References
Affective Computing for Visual Emotion Recognition Using Convolutional Neural Networks
1 Introduction
2 Proposed Visual Emotion Recognition System
3 Implementation
3.1 Image Processing
3.2 Emotion Image Database
3.3 Dataset Preparation
3.4 Convolutional Neural Networks (CNN)
4 Results and Discussion
5 Conclusions and Future Works
References
Speech Emotion Recognition Using Deep Neural Networks on Multilingual Databases
1 Introduction
2 Proposed Speech Emotion Recognition Algorithm
2.1 The Feature Fusion TMFCC
2.2 Mel-Frequency Cepstral Coefficient (MFCC)
2.3 Teager Energy Operator (TEO)
2.4 Deep Neural Networks
3 Results and Discussion
3.1 Databases
3.2 Experimental Setup
3.3 Experimental Result on MFCC
3.4 Experimental Result on TEO
3.5 Experimental Result on Fusion Features (TMFCC)
3.6 Performance Comparison and Optimum Configuration
4 Conclusions and Future Works
References
Prototype Development of Graphical Pattern Security System on Raspberry Pi
1 Introduction
2 Design of Graphical Pattern Security System
2.1 Hardware Design
2.2 Software Design
3 Implementation
4 Prototype Validation
5 Conclusions and Future Works
References
Development of Automatic Obscene Images Filtering Using Deep Learning
1 Introduction
2 Obscene Image Filtering Techniques
2.1 Keyword-Based Technique
2.2 Blacklist-Based Technique
2.3 Content-Based Technique
3 Proposed Obscene Image Filtering Algorithm
3.1 Fine Detection Stage
3.2 Focus Detection Stage
4 Results and Discussion
4.1 Dataset
4.2 Experiment on Fine Detection Stage: Skin Detection
4.3 Experiment on Fine Detection Stage: Face Detection
4.4 Testing on the Fine Detection Stage
4.5 Experiment on the Focus Detection Stage
5 Conclusions and Future Works
References
Development of Colorization of Grayscale Images Using CNN-SVM
1 Introduction
2 Proposed Colorization Using CNN-SVM
3 Results and Discussion
3.1 Experimental Setup
3.2 Colorization Experiments
3.3 Historical and 4K Natural Image Colorization Experiment
3.4 Performance Comparison
4 Conclusions and Future Works
References
Numerical Assessment of the Effects of Rooftop PVs on Ambient Air Temperature
Abstract
1 Introduction
2 Methodology
3 Scale Study
4 Study Area
5 Meteorological Data
6 Materials Properties
7 Outdoor Energy Balance
8 Results
9 Analysis and Future Studies
10 Conclusion
11 Limitation
References
Sliding Mode Control of Onboard Energy Storage System for Railway Braking Energy Recovery
1 Introduction
2 Railway Traction System
2.1 Distribution Network Modeling
2.2 Vehicle Modeling
2.3 Energy Storage System Modeling
3 Energy Management Strategy
3.1 Regenerative Braking Energy Recovery
3.2 Analysis and Design of Sliding Mode Controller
4 Numerical Simulations
4.1 Reference Tracking Performance
4.2 Dynamic Performances
5 Conclusions
References
Design of Inductor-Capacitor Circuits for Wireless Power Transfer for Biomedical Applications
1 Introduction
2 Design and Working Principle
3 Results and Discussion
4 Conclusion
References
Perceived Risk and Benefits of Online Health Information Among Parents in Malaysia
1 Introduction
2 Literature Review
3 Methodology
3.1 Sample
3.2 Instruments
3.3 Data Analysis
4 Results and Findings
4.1 Results of PLS Path Modeling
5 Conclusion
References
Wearable Textile Antenna Using Thermal-Print of Clothes Iron for the Indoor Wireless Remote Monitoring
1 Introduction
2 Textile Antenna Design
2.1 Geometry and Antenna Design
2.2 Thermal-Print Antenna Using Clothes Iron
3 Results and Discussion
4 Prototype Testing Using Transceiver Module
5 Conclusion
References
Smart Calling Doorbell Using GSM Module
1 Introduction
2 System Overview
3 Final Product
4 Results
5 Discussion
5.1 Power Supply for GSM Module
5.2 SIM900 UART Connectivity
6 Conclusion
References
Development of Smart Home Door Lock System
1 Introduction
2 System Development
2.1 Development Process
2.2 System Overview
3 Result and Discussion
4 Conclusion
References
Development of Microwave Antenna for Cancer Treatment
1 Introduction
2 Design of Antenna
2.1 Impedance Theory and Dimension Determination for the Applicator
2.2 Phantom of Liver
3 Result and Discussion
3.1 Parametric Analysis Towards Return Loss
3.2 Simulation of Return Loss and SAR for the Final Design
4 Conclusion
References
Review on Motor Imagery Based EEG Signal Classification for BCI Using Deep Learning Techniques
1 Introduction
2 EEG Signal Preprocessing Methods
2.1 Various Wavelet Transformation Techniques
2.2 Conditional Empirical Mode Decomposition Algorithm
2.3 Common Spatial Pattern [CSP]
2.4 Complex Morlet Wavelets and Power Spectrum Density[PSD]
3 Dataset Description
4 Various Deep Learning Techniques used for Classifying MI\Tasks
4.1 Convolution Neural Network
4.2 Long Short Term Memory [LSTM]
4.3 Recurrent Neural Network [RNN]
4.4 Support Vector Machine [SVM]
4.5 Restricted Boltzmann Machine [RBM]
4.6 Transfer Learning
4.7 Capsule Network
4.8 End to End Framework
5 Conclusion
References
Deep Learning Techniques for Breast Cancer Diagnosis: A Systematic Review
1 Introduction
1.1 Overall Process in Classification
2 Various Models Used for Classification
2.1 Stacked Sparse Autoencoders and Softmax Regression as Classifier
2.2 Transfer Learning
2.3 Deep Convolutional Neural Network [DCNN]
2.4 Convolution Neural Network [CNN]
2.5 Multiple Instance Learning
2.6 Xception Model
2.7 Restricted Boltzmann Machine [RBM]
2.8 Deep Belief Network [DBN]
2.9 Classification Using Patches Based on Deep Learning Techniques
2.10 Mass Lesion Detection
3 Comparison of Various Models Used for Classification
4 Conclusion
References
Hybridized Metaheuristic Search Algorithm with Modified Initialization Scheme for Global Optimization
1 Introduction
2 Related Works
2.1 DE
2.2 PSO
3 CO-HDEPSO
4 Comparative Studies
4.1 Simulation Settings for Comparative Studies
4.2 Performance Comparisons for All Optimizers
5 Conclusion
References
A Multi-stage SVM Based Diagnosis Technique for Photovoltaic PV Systems
1 Introduction
2 PV System Under Faulty Operation
3 The Proposed Fault Diagnosis System
3.1 The Proposed Diagnosis Configuration
3.2 Fault Occurrence Detection (Algorithm 1)
3.3 Model-Based Difference Measurement Approach (Algorithm 2)
3.4 Machine Learning Based Algorithm (Algorithm 3)
4 Simulation Results and Discussion
4.1 Performance of the Fault Occurrence Detection Algorithm (Algorithm 1)
4.2 Performance of the Fault Classification Algorithm (Algorithm 2)
4.3 Performance of the SVM Based Algorithm (Algorithm 3)
5 Conclusion
References
A Framework of IoT-Enabled Vehicular Noise Intensity Monitoring System for Smart City
1 Introduction
2 Relevant Research Work
3 Architecture and Modeling of Proposed System
3.1 Architecture
3.2 Machine Learning Algorithm Modelling
4 Working Principle of Proposed Prototype System and Required Components
4.1 Sensing Layer
4.2 Gateway, Network, Cybersecurity and Service Layer
4.3 Application Layer
5 Conclusion
References
16 nm FinFET Based Radiation Hardened Standard Cell Library Analysis Using Visual TCAD Tool
1 Introduction
2 SOI FinFET Device for Radhard Design
3 Simulation Tool Setup
4 FinFET Based Standard Cell Design
5 Standard Cell SET and SEU Simulation Results
6 Conclusion
References
Vehicles Trajectories Analysis Using Piecewise-Segment Dynamic Time Warping (PSDTW)
1 Introduction
2 Piecewise-Segment Dynamic Time Warping Distance (PSDTW)
2.1 Modified Dynamic Time Warping (DTW) Method: The SDTW Algorithm
2.2 Modified Dynamic Time Warping (DTW) Method: The PDTW Algorithm
2.3 Modified Dynamic Time Warping (DTW) Method: The PSDTW Algorithm
3 Result and Discussion
3.1 Execution Time
3.2 Accuracy Measurement
4 Conclusion
References
Real-Time KenalKayu System with YOLOv3
1 Introduction
2 Methodology
2.1 Data Acquisition and Image Database
2.2 Feature Extraction and Classification
3 Experimental and Results
4 Discussion and Conclusions
References
Scalp Massage Therapy According to Symptoms Based on Vietnamese Traditional Medicine
1 Introduction
2 Methodology
3 Massage Robot Mechanism
4 Neural Network Applied on Searching Path and Direction Associated with Symptoms
5 Result and Discussion
6 Conclusion and Future Work
References
Adsorption and Artificial Neural Network Modelling of Metolachlor Removal by MIL-53(Al) Metal-Organic Framework
1 Introduction
2 Materials and Methods
2.1 Preparation of the MOF Material
2.2 Characterization of the MOF Material
2.3 Experimental Procedures
3 Discussion of the Results
3.1 Adsorbent Characterization
3.2 Adsorption Studies
4 Conclusion
References
A Review of Digital Watermarking Techniques, Characteristics and Attacks in Text Documents
1 Introduction
2 Related Work
2.1 Techniques Used in Text Watermarking
2.2 Characteristics of Digital Watermarking
2.3 Attacks
3 Challenges of Digital Watermarking in Text Document Format
4 Conclusion
References
Auditory Evoked Potential (AEP) Based Brain-Computer Interface (BCI) Technology: A Short Review
1 Introduction
2 AEP Signals in BCI
3 Review of Auditory Based BCI Studies
4 Issues with Possible Solutions
4.1 Lack of Standard Auditory Stimulation Process
4.2 Performance is Highly User Dependent
4.3 Lack of Optimum Data Analysis Techniques
4.4 Insufficient Study
5 Conclusion
References
Rotated TOR-5P Laplacian Iteration Path Navigation for Obstacle Avoidance in Stationary Indoor Simulation
1 Introduction
1.1 Path Planning Structure
2 Materials and Techniques
2.1 Formulation of the Proposed Method
3 Experiments and Results
3.1 Discussion
4 Conclusions
References
Healthy Diet Food Decision Using Rough-Chi-Squared Goodness
1 Introduction
2 Theoretical Background and Methodology
2.1 Rough Sets Theory (RST)
2.2 Chi-Square Test
3 Association Healthy Diet Food and Healthy Status
3.1 Association Based on Chi-Square Test
3.2 Association Based on Dependency Degree
3.3 Evaluation of Associations
4 Generating Rules for Healthy Diet Food Decision
4.1 Generated Rules Before Data Reduction
4.2 Generated Rules After Data Reduction
4.3 Evaluation of Accuracy Rules Before-After Data Reduction
5 Conclusion
References
Effect of Moisture Content on Crack Formation During Reflow Soldering of Ball Grid Array (BGA) Component
1 Introduction
2 Materials and Method
3 Results and Discussion
4 Conclusions
References
Objective Tool for Chili Grading Using Convolutional Neural Network and Color Analysis
1 Introduction
2 Related Work
3 Proposed Method
3.1 Chili Classification
3.2 Determining the Percentage of the Ripeness of the Chili
4 Result and Discussion
5 Conclusion
References
Person Identification System for UAV
1 Introduction
2 Framework and Method
3 Path Planning
3.1 Depth Estimation
4 Facial Detection and Recognition
4.1 Face Detection
4.2 Landmark Detector
4.3 Face Embedding
4.4 Face Recognition
5 Experimental Analysis
5.1 Path Planning
5.2 Depth Estimation
5.3 Face Recognition
6 Conclusion and Future Work
References
Artificial Neural Network Modelling for Slow Pyrolysis Process of Biochar from Banana Peels and Its Effect on O/C Ratio
1 Introduction
2 Materials and Method
2.1 Sample Preparation and Pyrolysis Experiment
2.2 Neural Network Training Method
2.3 Neural Network Performance Evaluation
3 Results and Discussion
4 Conclusion
References
Effect of Potting Encapsulation on Crack Formation and Propagation in Electronic Package
1 Introduction
2 Materials and Method
3 Results and Discussion
4 Conclusions
References
Novel Approach of Class Incremental Learning on Internet of Things (IoT) Framework
1 Introduction
2 Related Work
3 Methodology
3.1 Communication Format Between the IoT Edge Device and the Cloud
3.2 Incremental Learning on the Cloud
4 Experiments
4.1 Datasets
4.2 Implementation Details
5 Results and Discussions
6 Conclusion
7 Future Work
References
The Development of Monitoring Germination Through IoT Automated System
1 Introduction
2 Methodology
2.1 Development Process
2.2 System Overview
3 Result and Discussion
4 Conclusion
References
The Diagnosis of COVID-19 Through X-Ray Images via Transfer Learning Pipeline
1 Introduction
2 Methodology
2.1 Data Collection
2.2 Feature Extraction: Transfer Learning Model
2.3 Classification: Fully Connected Layer (FCL)
3 Results and Discussion
4 Conclusion
References
Development of Skill Performance Test for Talent Identification in Amateur Skateboarding Sport
1 Introduction
2 Methodology
2.1 Instrumentation and Data Collection
2.2 Principal Component Analysis Application in the Study
3 Results and Discussion
4 Conclusion
References
The Diagnosis of Diabetic Retinopathy: A Transfer Learning with Support Vector Machine Approach
1 Introduction
2 Methodology
2.1 Dataset
2.2 Feature Extraction: Transfer Learning Model
2.3 Classification: SVM
3 Results and Discussion
4 Conclusion
References
Gearbox Fault Diagnostics: An Examination on the Efficacy of Different Feature Extraction Techniques
1 Introduction
2 Methodology
2.1 Feature Extraction
2.2 Continuous Wavelet Transform (CWT)
2.3 Support Vector Machine (SVM)
3 Experimental Verification
3.1 Dataset
3.2 Results and Discussion
4 Conclusion
References
Minimizing Normal Vehicle Forces Effect During Cornering of a Two In-Wheel Vehicle Through the Identification of Optimum Speed via Particle Swarm Optimization (PSO)
1 Introduction
2 Methodology
3 Result and Discussion
4 Conclusion
References
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Advances in Robotics, Automation and Data Analytics

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