The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)

Name: The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)
Brand: Springer
Price: 213.99 EUR
Availability: OnlineOnly

Aboul Ella Hassanien Ahmad Taher Azar Tarek Gaber Roheet Bhatnagar Mohamed F. Tolba(Editor)

Springer (Publisher)

1st Edition

Published on 16. March 2019

XXIX, 960 pages

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PDF with digital watermarking

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978-3-030-14118-9 (ISBN)

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Content

Intro
Preface
Organization
Honorary Chair
General Chair
International Advisory Board
Program Chairs
Publicity Chairs
Technical Program Committee
Local Arrangement Chairs
Keynote Speakers and Tutorial
Multi-modal and Uncertain Optimization with Differential Evolution - Some Recent Approaches and Future Challenges
Modern Algorithms in Control and Design of Complex Systems
Hands-on to TensorFlow (Tutorial on)
Contents
Deep Learning Applications
A Deep Learning Approach for Tongue Diagnosis
Abstract
1 Introduction
2 Tongue Image Syndrome Classification Model Based on CNN
2.1 Data Pre-processing Stage
2.2 Deep Learning Stage
3 Experiment
3.1 Two-Class Experiment
3.2 Three-Class Experiment
4 Result
5 Platform
6 Discussion and Conclusion
Acknowledgements
References
Reduced 3-D Deep Learning Framework for Hyperspectral Image Classification
1 Introduction
2 Proposed Framework
2.1 Hyperspectral Dimension Reduction
2.2 3D Convolutional Neural Network
3 Experimental Results
3.1 Experimental Datasets
3.2 Experimental Design
3.3 Classification Results
4 Conclusion
References
An Efficient Deep Convolutional Neural Network for Visual Image Classification
1 Introduction
2 Related Work, Contribution, and Organization of this Paper
3 The Proposed Deep Model (VICNet)
4 Experimental Evaluations
4.1 ImageNet Dogs
4.2 Features Classification
4.3 Experimental Evaluation Metrics
5 Results and Discussion
References
Deep Learning for Predictive Analytics in Healthcare
Abstract
1 Introduction
2 Deep Learning Predictive Analytics Survey in Health Care
3 Deep Learning Framework for Healthcare Predictions
3.1 Deep Learning Models
3.2 Framework of Deep Learning in Healthcare
4 Deep Learning Tools
5 Future Trends of Deep Learning in Healthcare Predictions
6 Conclusion
References
Deep Layer CNN Architecture for Breast Cancer Histopathology Image Detection
Abstract
1 Introduction
2 The Proposed Deep Layer CNN Architecture for Breast Cancer Image Detection
3 Performance Measure for Breast Cancer Image Detection
4 Experimental Results
5 Conclusion
Acknowledgement
References
Regression Task on Big Data with Convolutional Neural Network
1 Introduction
2 Methods and Data
3 Experiments
4 Result
5 Conclusion and Future Work
References
The Regression of MNIST Dataset Based on Convolutional Neural Network
1 Introduction
2 Method
2.1 Established Relationship Between Regression and MNIST Dataset
2.2 Description of the CNN in Deep Learning
2.3 Predicting the Target of MNIST by the CNN
3 Experiments and Results
3.1 Establishing the Optimal Network Architecture
3.2 Results of Regression with Labels of Different Standard Deviation
4 Conclusion
References
Swarm Intelligence and Applications
Intelligent Hybrid Approach for Feature Selection
Abstract
1 Introduction
2 Grey Wolf Optimization Algorithm (GWO)
3 Proposed Hybrid RSCBGWOFS Approach
4 Results and Discussion
4.1 GWO Static Parameters Setting
4.2 GWO Dynamic Parameters Tuning
4.3 Numerical Results
4.4 Comparison with Other Meta-Heuristics
5 Conclusions and Future Directions
Acknowledgement
References
Parameter Estimation for Chaotic Systems Using the Fruit Fly Optimization Algorithm
Abstract
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Problem Formulation
3.2 Fruit Fly Optimization Algorithm
4 Simulation Results
5 Conclusions
References
Optimal Shortest Path in Mobile Ad-Hoc Network Based on Fruit Fly Optimization Algorithm
Abstract
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 MANET Routing Problem Formulation
3.2 Basic Fruit Fly Optimization Algorithm
4 Experimental Results
5 Conclusion
References
Swarm Optimization for Solving Load Balancing in Cloud Computing
Abstract
1 Introduction
2 Related Work
3 Swarm Optimization: Short Reviews
4 Experimental Results and Discussion
5 Experimental Results
6 Conclusion and Future Work
References
The Influence of New Energy Access on Load Peaks and Troughs Based on Optimization Techniques
Abstract
1 Introduction
2 Photovoltaic Power Generation
3 The Selection of Optimization Algorithm
3.1 Linear Programming Algorithm
3.2 Intelligent Algorithm
3.3 Newton's Method
3.4 The Original - Dual Method
4 The Influence of New Energy Power Generation on the System
5 Conclusion
References
Multi-objective Solution of Traveling Salesman Problem with Time
1 Introduction
2 Problem Definition
3 Genetic Algorithms for Multi-objective TSP
4 Results
4.1 Simulated Problem
4.2 Real-World Problem
5 Conclusions and Future Work
References
Game Theory Based Solver for Dynamic Vehicle Routing Problem
Abstract
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Events Manager
3.2 Game Theory Integration
3.3 ACS Algorithm
4 Experimental Results
5 Conclusion
References
A Hybridization of Sine Cosine Algorithm with Steady State Genetic Algorithm for Engineering Design Problems
Abstract
1 Introduction
2 Steady State Genetic Algorithm (SSGA)
3 Sine Cosine Algorithm (SCA)
4 The Hybridization of SCA with SSGA
5 Numerical Results
5.1 Engineering Design Problem 1: Design of a Speed Reducer
5.2 Engineering Design Problem 2: Design of Tension/Compression Spring Design Problem
6 Conclusions
References
Machine Learning in Biomedical
MolecRank: A Specificity-Based Network Analysis Algorithm
1 Introduction
2 Methods
2.1 MolecRank Algorithm and Heuristics
2.2 Experiments
3 Discussion
4 Future Directions
References
Detecting Epileptic Seizures Using Abe Entropy, Line Length and SVM Classifier
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Segmentation
3.2 EEG Sub-bands Extraction
3.3 Feature Extraction
4 Classification
5 Results
6 Conclusion
References
Analyzing Electrooculography (EOG) for Eye Movement Detection
Abstract
1 Introduction
2 Related Work
3 The Proposed Method
3.1 Preprocessing
3.2 Feature Extraction
3.3 Classification
4 Experimental Results
5 Conclusion
References
Analysis of Classification Methods for Gene Expression Data
Abstract
1 Introduction
2 Related Work
3 Classification Methods
3.1 Support Vector Machines (SVMs)
3.2 K-Nearest Neighbor (KNN)
3.3 Random Forest (RF)
4 Experimental Results
4.1 Data Sets
4.2 Performance Criteria
4.3 Results
5 Conclusions and Future Work
References
Using Eye Movement to Assess Auditory Attention
Abstract
1 Introduction
2 Materials and Methods
2.1 Experimental Setup
2.1.1 Task Description
2.1.2 EEG Acquisition
2.1.3 Feature Extraction
3 Classifications Results and Discussion
3.1 Effect of Eye Movement on Attention in Experiment 1 and Experiment 3
3.2 Effect of Eye Movement on Attention in Experiment 2 and Experiment 4
4 Conclusions and Future Work
References
Facilitating Classroom Orchestration Using EEG to Detect the Cognitive States of Learners
Abstract
1 Introduction
2 Experimental Study
2.1 Data Used
2.2 Feature Extraction and Analysis
3 Classification Results and Discussion
4 Conclusions and Future Work
Acknowledgments
References
A New Nano-robots Control Strategy for Killing Cancer Cells Using Quorum Sensing Technique and Directed Particle Swarm Optimization Algorithm
Abstract
1 Introduction
2 Related Work
3 The Proposed Control Strategy
3.1 Directed PSO Algorithm
3.2 Quorum Sensing Algorithm
3.3 The Proposed Control Strategy
4 Simulation and Results
5 Conclusions and Future Work
References
Data Mining: Technology and Applications
Mining Student Information System Records to Predict Students' Academic Performance
Abstract
1 Introduction
2 Related Work
3 Dataset
3.1 Data Collection
3.2 Data Preprocessing
3.2.1 Phase 1
3.2.2 Phase 2
4 Data Mining Implementation and Results
4.1 Data Mining Approaches and Algorithms
4.2 Data Mining Implementation
4.3 Results
5 Conclusion and Future Works
References
Bayesian Classification of Personal Histories - An application to the Obesity Epidemic
1 Introduction
2 Naive and Generalised Bayesian Classifiers
3 Data and the Prediction Problem
4 Profiling Histories
5 Model Performance Using Naive Bayes Vs. Generalised Naive Bayes
6 Conclusion
References
Poverty and Its Relation to Crime and the Environment: Applying Spatial Data Mining to Enhance Evidence-Based Policy
1 Introduction
2 Data and Methods
2.1 Poverty in Mexico: A Multidimensional Perspective
2.2 Crime
2.3 Ecosystem Integrity
2.4 Statistical Analysis
3 Results
3.1 Poverty and Crime
3.2 Poverty and Ecosystem Integrity
4 Discussion and Conclusions
References
Identifying Different Types of Biclustering Patterns Using a Correlation-Based Dilated Biclusters Algorithm
Abstract
1 Introduction
2 Related Work
3 The Proposed Algorithm
3.1 Preprocessing Phase
3.2 Single-Dimension Clustering Phase
3.3 Elementary Biclusters Identification Phase
3.4 Dilation of Elementary Biclusters Phase
3.5 Removal of None-Coherent Elements Phase
3.6 Elimination of Duplicated and Overlapped Biclusters Phase
4 Results and Discussion
4.1 Synthetic Datasets
4.2 Performance Indices
4.3 Real Experimental Datasets
5 Conclusion
References
Reduction of Variations Using Chemometric Model Transfer: A Case Study Using FT-NIR Miniaturized Sensors
Abstract
1 Introduction
2 Calibration Transfer
3 Experiments and Results
3.1 Samples
3.2 Instrumentations
3.3 Classification Model
3.4 Experiment 1
3.5 Experiment 2
3.6 Experiment 3
4 Conclusion
Acknowledgment
References
Predicting Drug Target Interaction by Integrating Drug Fingerprint and Drug Side Effect Using Machine Learning
Abstract
1 Introduction
2 Literature Review
3 Materials and Methods
3.1 Dataset Construction
3.2 Fingerprint and Side Effect as Features
3.3 Random Forest (RF)
3.4 K-Nearest Neighbors (K-NN)
3.5 Performance Measures
4 Proposed Model
5 Experiment Results and Discussion
6 Conclusion
References
Statistical Insights and Association Mining for Terrorist Attacks in Egypt
Abstract
1 Introduction
2 Literature Reviews
2.1 Statistical Analysis
2.2 Association Mining
2.3 Related Works
3 Global Terrorism Database (GTD)
4 Statistical Insights for EGYPT Terrorist Attacks
5 Association Mining on Egypt Extracted Data from GTD
6 Discussion
7 Conclusion and Future Works
References
Regression with Support Vector Machines and VGG Neural Networks
Abstract
1 Introduction
2 Test Experiments and Results
2.1 Experimental Data
2.2 Experimental Network Structure and Result
3 Discussion
4 Conclusions
References
A Distributed Multi-source Feature Selection Using Spark
Abstract
1 Introduction
2 Related Work
3 Proposed Approach: Distributed Multi-source Feature Selection Using Spark (D-MSFSS)
3.1 Distributed Programming Using Spark
3.2 D-MSFSS
4 Result and Discussion
5 Conclusion and Future Work
References
The Classification of Multiple Power Quality Disturbances Based on Dynamic Event Tree and Support Vector Machine
Abstract
1 Introduction
2 Multiple Power Quality Disturbances
3 The Feature Extraction Method: Harmonic Detection
3.1 The Extraction Method Based on WPT
3.2 The Extraction Method Based on S-Transform
4 The Design of Classifier Single Disturbance Classification
4.1 Multiple Disturbances Classification
5 Conclusion
References
Power Cable Fault Diagnosis Based on Wavelet Analysis and Neural Network
Abstract
1 Introduction
2 Mechanism Analysis of Water Tree Branch and Electric Tree
3 Theory of Wavelet Packet Analysis
4 The Extraction of Characteristic Signals for Cable Fault
5 The Theory of Neural Network
6 Neural Network in Cable Fault Diagnosis
7 Conclusion
References
Predictive Control of Superheated Steam Temperature of Molten Salt Heat Storage System
Abstract
1 Introduction
2 Model Predictive Control Method and Implementation
2.1 Multi-model Predictive Control Algorithm Structure
2.2 Predictive Control
2.3 Multi-model Switching Strategy
2.4 Multi-model Predictive Control Algorithm Steps
3 Simulation and Analysis
3.1 General Characteristics of Superheated Steam
3.2 Control Results Under Fixed Load
3.3 Control Results Under Variable Load
4 Conclusion
References
Control and Chaotic Systems
Optimal Proportional Integral Derivative (PID) Controller Design for Smart Irrigation Mobile Robot with Soil Moisture Sensor
Abstract
1 Introduction
2 Mathematical Modeling
3 Schematic Design
4 Controller Design
5 Results and Discussion
6 Conclusion
References
Adaptive Higher Order Sliding Mode Control for Robotic Manipulators with Matched and Mismatched Uncertainties
1 Introduction
2 Problem Formulation
3 Adaptive Higher Order Controller Design
4 Numerical Experiment and Discussion
5 Conclusion and Future Work
References
Robust Path Tracking of Mobile Robot Using Fractional Order PID Controller
Abstract
1 Introduction and Problem Statement
2 Modeling and Simulation of Pioneer-3 Mobile Robot
3 Control of Pioneer-3 Mobile Robot
3.1 Motion Planning and Path Tracking
3.2 Classical PID Controller (One Degree and Two Degree of Freedom)
3.3 Fractional Order PID Controller (FOPID)
3.4 Controller Tuning Criteria
4 Simulation Results and Analysis
5
References
Synchronization between a Novel Integer-Order Hyperchaotic System and a Fractional-Order Hyperchaotic System Using Tracking Control
1 Introduction
2 System Description and Chaotic Analysis
2.1 Chaotic Analysis of a Novel Integer-Order Chaotic System
2.2 Fractional-Order Hyperchaotic System
3 Synchronization between a Novel Integer-Order Hyperchaotic System and a Fractional-Order Hyperchaotic System Using Tracking Control
3.1 Numerical Simulations
4 Conclusion
References
Design of Air-Cooled Control System for Intelligent Transformer
Abstract
1 Introduction
2 Traditional Air-Cooled Control System
3 Design Scheme of Air-Cooled Control System in Intelligent Substation
4 Design of Intelligent Monitoring Device
5 Conclusion
References
Quoting Model Strategy of Thermal Power Plant Considering Marginal Cost
Abstract
1 Introduction
2 The Theoretical Basis of the Quotation Function
2.1 Expected Return
2.2 Optimal Quotation
3 Mathematical Quotation Model
3.1 Mathematical Model Establishment
3.2 Quotation Model
4 Mixed Strategy Model
5 Conclusion
References
Combination-Combination Anti-Synchronization of Four Fractional Order Identical Hyperchaotic Systems
1 Introduction
2 Methodology
3 Fractional-Order Hyperchaotic System
4 Illustrative Example
4.1 Numerical Simulations
5 Conclusion
References
A New Generalized Synchronization Scheme to Control Fractional Chaotic Systems with Non-identical Dimensions and Different Orders
1 Introduction
2 Basic Concepts
3 Main Results
4 Numerical Example
5 Discussion and Conclusion
References
Design of Reactive Voltage Automatic Control Device Based on Fuzzy Control
Abstract
1 Introduction
2 Traditional Reactive Power Compensation Control Strategy
3 Fuzzy Control Strategy
4 Design of Automatic Control Device for Reactive Power and Voltage
4.1 Design of Switch Control Program Module
4.2 Integral Structure Design of Compensator
4.3 Program Module Design of Fuzzy Control Algorithm
5 Conclusion
References
Fractional-Order Control Scheme for Q-S Chaos Synchronization
1 Introduction
2 Preliminaries
3 System Description and Problem Formulation
4 Analytical Results
5 Numerical Results
6 Conclusion
References
Path Planning Control for 3-Omni Fighting Robot Using PID and Fuzzy Logic Controller
Abstract
1 Introduction
2 Mechanical Model: - Omni-Directional Wheeled Mobile Robot (WMR) Kinematic Modeling
2.1 Forward Kinematics
2.2 Inverse Kinematics
2.3 DC Motor Model and Parameters Estimation
2.4 Linear and Angular Velocity Transfer Function
2.5 Fuzzy Model
3 Motion Control Methods
3.1 One Degree of Freedom PID Controller
3.2 PID Tuning Used Symmetric Optimum Method (Loop Shaping)
3.3 Linear Velocity Controller Design
3.4 Angular Velocity Controller Design
4 Results and Discussion
4.1 Path of PID Controller
4.2 FUZZY Logic Controller
4.3 Self-tuning FUZZY PID
5 Conclusion
References
Agricultural Service Mobile Robot Modeling and Control Using Artificial Fuzzy Logic and Machine Vision
Abstract
1 Introduction
2 Mobile Robot Modelling
2.1 Robot Modeling and Identification Based on Linear Methods
2.2 Robot Modeling and Identification Based on Non-linear Methods
3 Mobile Robot Control
3.1 Proportional-Integral-Derivative (PID) Controller
3.2 Fuzzy-PID Controller
3.3 Fuzzy Self-tuning of PID
4 Results and Conclusion
References
Performance Evaluation of Research Reactors Under Different Predictive Controllers
Abstract
1 Introduction
2 Research Reactor Model
2.1 Point Reactor Kinetics
2.2 Temperature Effect Reactivity
2.3 Fission Product Poisoning
2.4 Fuel Density
2.5 Control Rods
3 Control Methods
3.1 Proportional-Derivative Controller (PD)
3.2 Model Predictive Control (MPC)
3.3 Neural Network Predictive Control (NNPC)
4 Results and Discussion
5 Conclusion
References
Enhanced Genetic Algorithm and Chaos Search for Bilevel Programming Problems
Abstract
1 Introduction
2 Bilevel Programming Problems
3 The Proposed Algorithm (CGA-ES)
3.1 Basic Concepts of Genetic Algorithm
3.2 Chaos Theory for Optimization Problems
3.3 CGA-ES for BLPP
4 Numerical Experiments
4.1 Results and Analyses
5 Conclusions
References
The Design of Power Quality Detecting System Based on ADSP-BF606
Abstract
1 Introduction
2 Hardware Design
2.1 The System Architecture
2.2 Design of Modules
3 Power Quality Detecting Methods
3.2 Harmonic Detection
3.3 Disturbances Classification
4 Experimental Results
5 Conclusion
References
Role of Robotic Process Automation in Pharmaceutical Industries
Abstract
1 Introduction
2 RPA in Pharmaceutics
2.1 Need for a Smarter Solution
3 RPA/ML-Based Intelligent Framework for Standardization of End Products in Indian Traditional System of Medicine - Ayurveda
3.1 The Indian Traditional System of Medicine Ayurveda
3.2 Bhasma Preparation
3.2.1 Shodhan
3.2.2 Bhavana
3.2.3 Marana
3.2.4 Jarana
3.3 Data Obtained During Bhasma Preparation
4 RPA/ML-Based Proposed Framework
5 Conclusion
References
Text Mining, Summarization and Language Identification
Using Related Text Sources to Improve Classification of Transcribed Speech Data
1 Introduction
2 Related Work
3 Methodology
3.1 Classification Models
3.2 Use of Related Written Data
3.3 Selection of Related Terms from Written Data
4 Data and Experiment
4.1 Preparing Speech Data
4.2 Written Data
5 Evaluation
6 Results and Discussion
7 Conclusion and Future Work
References
A Semantic Text Summarization Model for Arabic Topic-Oriented
Abstract
1 Introduction
2 Related Work
3 Model Architecture
3.1 Query Expansion (QE)
3.2 Preprocessing
3.3 Input Matrix Creation
3.4 Singular Value Decomposition
3.5 Reduced Singular Value Decomposition
3.6 Sentence Scoring and Ranking
4 Case Study
5 Conclusions
References
A Language Identification System Based on Voxforge Speech Corpus
1 Introduction
2 Related Work
3 Methods of Classification
3.1 Support Vector Machines (SVM)
3.2 k-Nearest Neighbors (kNN)
3.3 Extremely Randomized Trees (Extratrees)
4 Datasets
5 Short Term Feature Extraction
6 Experiments and Results
7 Conclusion
References
A Novel Automated Financial Transaction System Using Natural Language Processing
Abstract
1 Introduction
2 Related Works
3 Architecture of the System
3.1 Algorithmic Steps
3.2 Structure of the Default Database
4 Methodology and Tools Used
5 Time Complexity
6 Limitations
7 Conclusion
References
Exploring Different Approaches for Parsing Telugu
Abstract
1 Introduction
2 Related Work
3 Concept of Dependency
4 Experiments and Results
4.1 MaltParser
4.2 MSTParser
4.3 Turbo Parser
4.4 Combining MaltParser and MSTParser
4.5 Voting
4.6 Blending
5 Discussions and Result Analysis
6 Conclusions and Future Work
Acknowledgements
References
A Proposed Approach for Arabic Semantic Annotation
Abstract
1 Introduction
2 Materials and Methods
2.1 Resource Description Framework (RDF)
2.2 Ontology
3 The Proposed Approach
3.1 Pre-processing Phase
3.2 Arabic Documents Annotation Phase
3.3 Indexing and Text Retrieval Phase
4 Experiments and Results
4.1 Dataset
4.2 Performance Measures
4.3 Experiment Description
4.4 Results and Discussion
5 Conclusion
References
Automated Essay Evaluation Based on Fusion of Fuzzy Ontology and Latent Semantic Analysis
Abstract
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Preprocessing of the Essay
3.2 Calculate Syntax Grade
3.3 Calculate Semantic Grade
3.4 Calculating Essay Grade
3.5 Automated Error Detection System
4 Experimental Results
5 Conclusion and Future Work
References
Towards a Portable SLU System Applied to MSA and Low-resourced Algerian Dialects
1 Introduction
2 Related Work
3 Spoken Language Understanding
3.1 Thematic Approach
4 Experiments
4.1 Results and Discussion
5 Conclusion
References
Ans2vec: A Scoring System for Short Answers
Abstract
1 Introduction
2 Related Work
3 Proposed Model and Data Sets
4 Experiments Results and Analysis
5 Conclusions
References
Machine Learning in Cyber Security
Applications of Machine Learning in Cyber Security - A Review and a Conceptual Framework for a University Setup
1 Introduction
2 Related Literature
2.1 Applications of Artificial Intelligence (AI) to Network Security
2.2 Applications of Machine Learning in Cyber Security
2.3 Characterization of TOR Traffic using Time based Features
2.4 Application of Recurrent Neural Networks for User Verification based on Key-Stroke Dynamics
2.5 Convolutional Neural Networks for Malware Classification
2.6 A Hybrid Spectral Clustering and Deep Neural Network Ensemble Algorithm for Intrusion Detection in Sensor Networks
2.7 An Analysis of Recurrent Neural Networks for Botnet Detection Behavior
2.8 A Novel LSTM-RNN decoding algorithm in CAPTCHA recognition
2.9 Malware Detection with Deep Neural Network Using Process Behaviour
3 A Proposed Conceptual Framework for a Typical University Setup
4 Conclusion
References
Applying Cryptographic Techniques for Securing the Client Data Signals on the Egyptian Optical Transport Network
Abstract
1 Introduction
2 The Structure of OTN Frames in the Optical Network
2.1 The Construction of the OTN Frame
2.2 The Security Problem in the Current Transmission Model
3 The Proposed System Model
4 The Analysis of the Proposed Security Model
5 The Numerical Analysis of the Proposed Model
6 Conclusion and Future Work
References
A Blind Fragile Based Medical Image Authentication Using Schur Decomposition
Abstract
1 Introduction
2 Related Work
3 Proposed Watermarking Technique
3.1 Watermark Embedding Phase
3.2 Watermark Extraction Phase
4 Experimental Results and Discussion
5 Conclusion and Perspectives
References
A New Image Watermarking Technique in Spatial Domain Using DC Coefficients and Graph Representation
Abstract
1 Introduction
2 Proposed Technique
2.1 Watermark Embedding Process
2.2 Watermark Extraction Process
3 Experiments Result
3.1 Performance of the Proposed Model on Grayscale Images
3.2 Perceptual Quality Analysis
3.3 Robustness Analysis
4 Conclusion
References
Image Encryption Algorithm Methodology Based on Multi-mapping Image Pixel
Abstract
1 Introduction
2 Literature Review
3 Preliminaries
3.1 The Logistic Map
3.2 Elliptic Curve Over a Binary Finite Field
3.3 The Henon Map
4 The Proposed Image Encryption Schemes
5 Experimental Results
5.1 Histogram Analysis
5.2 Entropy Test
5.3 PSNR Test
5.4 UACI and NPCR
6 Conclusion
References
City Crime Mapping Using Machine Learning Techniques
1 Introduction About the City of Our Study - San Francisco
2 Literature Review
3 Dataset Analysis
4 Pre-processing of the Data
5 Evaluation Metrics
6 Classification
6.1 Gaussian Naive Bayes Classifier
6.2 Multilayer Perceptron (MLP)
6.3 k-Nearest Neighbours
6.4 Classification and Regression Trees (CART)
6.5 k-Means
7 Conclusion and Future Work
References
Fragile Watermarking Techniques for 3D Model Authentication: Review
Abstract
1 Introduction
2 3D Object Representation and Manipulations
3 Digital Watermarking Life Cycle
4 Overview of 3D Fragile Watermarking Algorithms
5 Watermarking Requirements and Challenges
6 Conclusion and Future Work
References
Supervised Performance Anomaly Detection in HPC Data Centers
Abstract
1 Introduction
2 Related Works
3 Methodology
3.1 Dataset Collection
3.2 Modeling
3.3 Performance Measures
4 Experiment
4.1 Experiments Using Neural Networks
4.2 Experiment Using KNN
4.3 Experiment Using Gaussian Anomaly Detection
4.4 Experimental Results
5 Conclusion
Acknowledgments
References
Online Signature Verification Using Deep Learning and Feature Representation Using Legendre Polynomial Coefficients
1 Introduction
2 Related Work
3 Proposed Work
3.1 Feature Extraction and Selection
3.2 Verification
4 Experimental Results
4.1 Handwritten Signature Database
4.2 Results
5 Conclusion
References
Machine Learning in Image and Signal Processing
Non-invasive Calibration-Free Blood Pressure Estimation Based on Artificial Neural Network
Abstract
1 Introduction
2 Background
3 Analysis Stepwise Procedure
3.1 Database
3.2 Preprocessing
3.3 Feature Extraction
3.4 Data Partitioning
3.5 Model Based on Machine Learning
3.6 Model Evaluation
4 Experimental Results
5 Conclusions
References
Data Augmentation and Feature Fusion for Melanoma Detection with Content Based Image Classification
Abstract
1 Introduction
2 Related Work
3 Our Approach
4 Results and Discussions
5 Conclusion
Acknowledgement
References
Dental Age Estimation: A Machine Learning Perspective
1 Introduction
2 Method
2.1 Overview
2.2 Estimating Dental Age by Machine Learning
2.3 Description of the Used Machine Learning Algorithms
3 Data and Setting of Experiments
3.1 Data Description
3.2 Setting of Experiments
4 Experimental Results
5 Conclusion
References
A Survey on Human Activity Recognition Based on Temporal Signals of Portable Inertial Sensors
1 Introduction
2 Related Work
3 Conclusion
References
3D Geolocation Approach for Moving RF Emitting Source Using Two Moving RF Sensors
Abstract
1 Introduction
2 Literature Review
3 Geolocation Estimation Methods
3.1 Time Difference of Arrival TDOA
3.2 Frequency Difference of Arrival FDOA
3.3 Angle of Arrival AOA
4 The Proposed Geolocation System
5 Simulation Results
5.1 Platform (a): Stationary Sensors and Stationary Emitter
5.2 Platform (b): Moving Sensors and Stationary Emitter
5.3 Platform (c): Stationary Sensors and a Moving Emitter
5.4 Platform (d): Moving Sensors and a Moving Emitter
6 Resulting Position Error and Comparative Analysis
6.1 MoMo Resulting Emitter Position Error
6.2 Comparison with Previous Work
7 Conclusions and Future Work
References
Optimized Feed Forward Neural Network for Microscopic White Blood Cell Images Classification
1 Introduction
2 Preliminary
2.1 Feed Forward Neural Network (FNN)
2.2 Particle Swarm Optimization (PSO)
2.3 Gravitational Search Algorithm (GSA)
2.4 Statistical Moments
2.5 The Proposed Optimized Feed Forward Neural Networks
3 Experimental Results
4 Conclusion and Future Work
References
Renewable Energy
Applying Polynomial Learning for Soil Detection Based on Gabor Wavelet and Teager Kaiser Energy Operator
Abstract
1 Introduction
2 A Literature Review
3 Methodologies and Algorithms
3.1 Enhancement Using Gabor Wavelet Followed by Teager-Kaiser Operators
3.2 Polynomial Neural Network Classification Method (PNN)
4 Results and Discussions
5 Conclusions
References
Effect of Photo Voltaic Panel on Power Generation by Manual Adjustment with Panel Angle
Abstract
1 Introduction
2 Results and Discussion
2.1 Mathematical Models and Software Designing for the Calculation of the Optimum Tilt Angle
2.2 Calculation of Adjust the Inclination to Increase the Generating Capacity and Economic Analysis
2.3 Manual Adjustment of the Stent Design and Experimental Study
3 Conclusion
References
The Impact of Large Scale Distributed Generation Grid-Connection on Structure of Electric Power Network
Abstract
1 Introduction
2 Distributed Power Generation Technology
2.1 Small Hydroelectric Power Generation
2.2 Wind Power
2.3 Solar Photovoltaic Power Generation
2.4 Micro-gas Turbine Power Generation
2.5 Fuel Cell Power Generation
3 Analysis of the Influence of Distributed Operation System on Grid-Connected Operation
3.1 Frequency
3.2 Voltage
3.3 Power Quality
3.4 Trend
3.5 Power Loss
3.6 Grid Dispatching
3.7 Relay Protection
3.8 Reliability
4 Conclusions
References
Wind Power Curtailment Scheme Based on Wind Tower Method
Abstract
1 Introduction
2 Related Work
3 The Physical Model of Wind Speed
4 Modeling and Simulation Masta Law
5 Conclusions
References
Energy Consumption Regulation for Substation Operation in Practice
Abstract
1 Introduction
2 Energy Consumption Equipment in the Substation
3 Analysis of Energy Consumption Equipment in the Substation
3.1 The Operation Cycle of Energy Consumption Equipment
4 Energy Consumption Supervision Mode of the Transformer Substation
4.1 Energy Consumption Equipment Collection
4.2 Energy Consumption Data Analysis
5 The Effectiveness of Energy Consumption Monitoring in Substation Operation
6 Conclusions
References
Implementation of Tower Grounding Resistance Measurement Based on Decreasing Overhead Grounding Line's Current Shunt Using High-Frequency Power Supply
Abstract
1 Introduction
2 The Tower and Overhead Ground Wire Model and Equivalent Parameters
3 Diversion Tower Model
3.1 The Injection Current of Shunt Coefficient and the Adjacent Tower Base Model
3.2 The Grounding Resistance of the Shunt Coefficient and Tower Space Model
3.3 Simulation Test Frequency and Tower Shunt
4 Diversion Tower Frequency Calculation
5 Comparison of the Measured Field Data: Quality Management and Monitoring of Power Energy Saving Service Process
6 Conclusions
References
Wind Power Dispatching Method Based on High-Voltage and Large Capacity Electric Heat Storage
Abstract
1 Introduction
2 Working Principles of High Voltage and Super Large Capacity Heat Storage
2.1 The Introduction of Electric Heat Storage
2.2 High Voltage and Large Capacity Implementation Technology
2.3 Local Control System
3 Scheduling Model Contained Electric Heat Storage
3.1 Calculation Model of the Electric Heat Storage
3.2 Optimal Scheduling Model
4 Scenario Verification
4.1 Simulation Example
4.2 Example Analysis
5 Conclusion
References
Calculation of Energy Saving Based on Building Engineering
Abstract
1 Introduction
2 Calculation of Heat Transfer Coefficient of the Enclosure Structure
2.1 Exterior Wall
2.2 Roofing
2.3 Ground
2.4 Doors and Windows
2.5 Problems to be Paid Attention to in Calculation of Heat Transfer Coefficient of the Enclosure Structure
3 Area Calculation
4 Thermal Calculations and Epilogue
5 Conclusion
References
Heat Discharge of Molten Salt in Double Energy Storage Tank
Abstract
1 Introduction
2 Experimental System and Method
2.1 Experiment System
2.2 Data Analysis
3 Results and Discussion
3.1 Regulation Effect of Cylindrical Partition on Molten Salt Flow Field
3.2 Comparison of Heat Transfer between Molten Salt and Air Before and After Adding Cylindrical Separator
3.3 Comparison of Outlet Temperature of Spiral Coil Before and After Adding Cylindrical Separator
3.4 Comparison of Efficiency of Front and Rear Coil Heat Exchanger with Cylindrical Baffle
3.5 Comparison of Sensible Heat Release Rate and Heating Time Before and After Adding Cylindrical Separator
4 Concluding Remakes
References
Development of Insulation Parameter Monitoring System for Transmission Line Arrester
Abstract
1 Introduction
2 Overall Scheme Design System
3 Implementation of the Overall Program
3.1 Acquisition Sensor Design
3.2 Solar Power Supply System Design
3.3 Communication Module Design
4 Overall Test Analysis
4.1 Sensor Accuracy Test
4.2 Reliability Test of Power Supply System
5 Conclusions
References
Complex Networks and Intelligent Systems
Correlating Thermal Anomaly with Earthquake Occurrences Using Remote Sensing
Abstract
1 Introduction
2 Materials and Methods
2.1 Study Area
2.2 Data Sets Used
2.3 Data Pre-processing
2.4 Robust Satellite Technique (RST)
3 Results and Discussions
3.1 Analysis of Results of Night Time Retira Index Computation for Earthquake Year (2016)
3.2 Analysis of Graphical Result of Night Time Retira Index Computation for Secondary Earthquake Year (2014-2015)
3.3 Analysis of Results of Night Time Retira Index Computation for Non-earthquake Year (2013-2014)
3.4 Pixel Based Analysis of the Non-earthquake Year
4 Conclusions and Future Scope of Study
Acknowledgement
References
IOT-Based Conceptual Framework for the Prevention of Acute Air Pollution Episodes for Reducing and Limiting Related Diseases in Egypt
Abstract
1 Introduction
2 Internet of Things "IOT"
2.1 IOT Definition
2.2 IOT Architecture
2.3 IOT Benefits and Challenges
3 The Black Cloud Phenomenon as an Acute Air Pollution Problem in Cairo and the Proposed Solution
3.1 The proposed IOT-Based Solution Scenario for Preventing Acute Air Pollution Episode and its Consequences
3.2 The Proposed IOT-Based Conceptual Framework Components
3.3 The Proposed IOT- Based Conceptual Framework preventing Acute Air Pollution Episode and Its Consequences
3.4 Limitations and challenges of the Proposed IOT conceptual Framework
4 Conclusion and Further Work
References
Smart and Incremental Model to Build Clustered Trending Topics of Web Documents
Abstract
1 Introduction
2 Related Work
3 Proposed Approach
4 Semantic Document Similarity
5 Incremental Documents Clustering Using K-Means
6 Experiments
7 Conclusions and Future Work
References
Combining CMMI Specific Practices with Scrum Model to Address Shortcomings in Process Maturity
Abstract
1 Introduction
2 Background
2.1 Agile Methodology and Scrum
2.2 Software Quality
2.3 Software Process Improvement and CMMI
3 Related Work
3.1 CMMI as a Quality Model in Software Enterprises
3.2 CMMI with Scrum
4 Proposed Specific Practices
5 Conclusions and Future Work
References
World Perception of the Latest Events in Egypt Based on Sentiment Analysis of the Guardian's Related Articles
1 Introduction
2 Experiments and Results
2.1 Word Count
2.2 Sentiment Analysis
3 Conclusions
References
Parallel Computation for Sparse Network Component Analysis
Abstract
1 Introduction
2 Background and Related Work
3 PSparseNCA
4 Implementation and Results
5 Conclusion and Future Work
References
Influence Ranking Model for Social Networks Users
1 Introduction
2 Related Work
3 Dynamic Nature of Social Networks and Users Ranking
3.1 K-Shell Decomposition Methodology
3.2 Mathematical Model
4 Proposed Influence Ranking Model
4.1 Influence Weight Calculation Phase
4.2 Node Pruning Phase
4.3 Node Ranking Phase
5 Evaluation, Results and Discussions
5.1 Datasets
5.2 Evaluation Metrics
5.3 Benchmark Approach
5.4 Experimental Results
6 Conclusion
References
Turning Caregivers into Informed Agents as a Strategy to Disseminate Scientific Information About Cancer
1 Introduction
2 Turning Caregivers into Informed Agents
3 The Model
4 Results
5 Conclusion
References
Comparative Analysis of Unmixing Algorithms Using Synthetic Hyperspectral Data
Abstract
1 Introduction
2 Related Work
3 Methods
4 Synthetic Hyperspectral Image
5 Experimental Results
5.1 Quality Metrics
5.2 Results
6 Conclusion
References
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The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)

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