
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018
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This book presents the proceedings of the 4th International Conference on Advanced Intelligent Systems and Informatics 2018 (AISI2018), which took place in Cairo, Egypt from September 1 to 3, 2018. This international and interdisciplinary conference, which highlighted essential research and developments in the field of informatics and intelligent systems, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into several main sections: Intelligent Systems; Robot Modeling and Control Systems; Intelligent Robotics Systems; Machine Learning Methodology and Applications; Sentiment Analysis and Arabic Text Mining; Swarm Optimizations and Applications; Deep Learning and Cloud Computing; Information Security, Hiding, and Biometric Recognition; and Data Mining, Visualization and E-learning.
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Content
- Intro
- Preface
- Organization
- Honorary Chair
- General Chairs
- Program Chairs
- International Advisory Board
- Publicity Chairs
- Technical Program Committee
- Local Arrangement Chairs
- Linking Fuzzy Petri Nets with Interval Analysis (Invited Speaker)
- Contents
- Robot Modeling and Control Systems
- Study of the Effect of Magnetic Field and Pulsating Flow on the Thermoelectric Cooler Performance Using Fuzzy Logic Control
- Abstract
- 1 Introduction
- 2 Proposed Experimental Method
- 3 Calculation Method
- 4 Experimental Uncertainty Analysis
- 5 Design Fuzzy Logic Model of Thermoelectric Cooling System
- 5.1 Fuzzification of Input and Output
- 5.2 Rules Base of the Model
- 5.3 Proposed Defuzzification Method
- 6 Results and Discussion
- 7 Conclusion
- Acknowledgement
- References
- Two-Degree of Freedom Proportional Integral Derivative (2-DOF PID) Controller for Robotic Infusion Stand
- Abstract
- 1 Introduction
- 2 Mathematical Model
- 2.1 Kinematic Model of Robotic Infusion Stand
- 2.2 Dynamic Modeling of Robotic Infusion Stand
- 2.3 Mathematical Modelling of a DC Motor
- 2.4 Two-Degree-of-Freedom Control
- 3 Schematic and Hardware Design
- 3.1 Schematic Design
- 3.2 Hardware Design
- 4 Controller Design
- 4.1 Concept of Joystick
- 4.2 Concept of Controller
- 5 Results and Discussion
- 6 Conclusion
- References
- Ultrasound Transducer Quality Control and Performance Evaluation Using Image Metrics
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Contrast Resolution
- 2.2 Contrast Sensitivity
- 2.3 Spatial Resolution (2D In-Plane Point-Spread-Function, IP-PSF)
- 2.4 Statistical Metrics
- 2.4.1 First Order Statistics
- 2.4.2 Second Order Statistics
- 2.4.3 Higher Order Features
- 2.5 Resolution Metrics
- 2.5.1 Gradient
- 2.5.2 Laplacian
- 2.5.3 Standard Deviation of the Laplacian (SDL)
- 2.6 Autocorrelation
- 3 Performance Measures
- 4 Results and Discussion
- 5 Conclusion
- References
- Comparative Study of Two Level and Three Level PWM-Rectifier with Voltage Oriented Control
- Abstract
- 1 Introduction
- 2 The Principle and Modeling of the Two Level PWM-Rectifier
- 3 The Principle and Modeling of the Three Level PWM-Rectifier
- 4 Voltage Oriented Control Strategy
- 4.1 The Internal Current Loop
- 4.2 The External Voltage Loop
- 5 Simulation Results
- 6 Conclusion
- References
- New Control Schemes for Fractional Chaos Synchronization
- 1 Introduction
- 2 Preliminaries
- 3 Synchronization of Incommensurate Fractional Chaotic Systems
- 4 Synchronization of Commensurate Fractional Chaotic Systems
- 5 Numerical Examples
- 5.1 Synchronization of Fractional Modified Coupled Dynamos System and Fractional Unified System
- 5.2 Synchronization of Fractional Generalized Volta's System and Fractional Lu System
- 6 Conclusion
- References
- Self-balancing Robot Modeling and Control Using Two Degree of Freedom PID Controller
- Abstract
- 1 Introduction and the Related Work
- 2 Dynamical Modeling of Self-balancing Robot
- 2.1 Dynamical Modeling of Inverted Pendulum
- 2.2 DC Motor Model and Parameters Estimation
- 3 Design of Two Degree of Freedom PID Controller
- 4 Simulation Results and Discussions
- 5 Conclusion
- References
- Fractional Order Two Degree of Freedom PID Controller for a Robotic Manipulator with a Fuzzy Type-2 Compensator
- 1 Introduction
- 2 Problem Formulation
- 2.1 Dynamic Model of the Robotic Manipulator
- 2.2 Fuzzy Type-2 System and Controller
- 2.3 Fractional Order Calculus
- 3 Fractional Order 2-DOF PID Controller with Fuzzy Type-2 Compensation
- 3.1 Robustness and Parameter Tuning
- 4 Numerical Simulation Example
- 5 Discussion
- 6 Conclusion
- References
- Fuzzy Compensator of the Stator Resistance Variation of the DTC Driven Induction Motor Using Space Vector Modulation
- Abstract
- 1 Introduction
- 2 DTC-SVM
- 3 Advantages of DTC-SVM
- 4 Fuzzy Stator Resistance Observer
- 4.1 Fuzzification
- 4.2 Interfacing
- 4.3 Defuzzyfication
- 5 Simulations
- 5.1 Positive Error on Rs
- 5.2 Case of the Presence of the Fuzzy Estimator of the Resistor Rs for Low Speed Operation at 20 rad/s
- 6 Conclusion
- References
- Classification Techniques for Wall-Following Robot Navigation: A Comparative Study
- 1 Introduction
- 2 Background and Preliminaries
- 2.1 Decision Trees Induction C4.5
- 2.2 Neural Networks
- 2.3 Support Vector Machines
- 2.4 JRipper
- 2.5 Naive Bayes
- 2.6 K-Nearest Neighbor
- 3 Datasets and System Properties
- 4 Algorithm Description
- 5 Results
- 6 Conclusion
- References
- A New Control Scheme for Hybrid Chaos Synchronization
- 1 Introduction
- 2 Problem Formulation
- 3 Sufficient Conditions for Co-existence of IFSHFPS and FSHFPS
- 4 Numerical Example
- 5 Conclusion
- References
- Integrated Multi-sensor Monitoring Robot for Inpatient Rooms in Hospital Environment
- Abstract
- 1 Introduction
- 2 Materials (Component Description)
- 2.1 Distance Ultrasonic Sensor
- 2.2 H Bridge
- 2.3 Actuator
- 2.4 Humidity-and-Temperature-Sensor
- 2.5 Light Dependent Resistor (LDR) Sensor
- 2.6 Sound Detection Sensor
- 3 System Description
- 4 Results
- 5 Conclusion and Future Work
- References
- Comparing Multi-class Approaches for Motor Imagery Using Renyi Entropy
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Proposed Methodology
- 2.2 Data Acquisition
- 2.3 Data Preprocessing
- 2.4 Classification
- 3 Experimental Results
- 3.1 One-vs-One (Pairwise) Approach
- 3.2 One-vs-Rest Approach
- 3.3 Divide & Conquer Approach
- 3.4 Binary Hierarchy Approach
- 3.5 Multi-class Approach
- 4 Discussion
- 5 Conclusion
- References
- Sensitivity Improvement of Micro-diaphragm Deflection for Pulse Pressure Detection
- Abstract
- 1 Introduction
- 2 Background of Pressure Measurement Tools
- 2.1 MEMS Based Pressure Sensors
- 2.2 Pressure Measuring Principle
- 3 Aim of Study
- 4 Materials and Methods
- 4.1 Stress Analysis
- 5 The Modeling of a Corrugated Micro-diaphragm Excited by Pressure Pulse to Reduce the Diaphragm Deposition Stresses
- 5.1 Corrugated Diaphragm Analysis
- 5.2 von Mises Stress
- 5.3 Corrugated Diaphragm Design
- 5.4 Static Response
- 5.5 Dynamic Response
- 6 Results and Discussion
- 6.1 Static Loading
- 6.2 Dynamic Loading
- 7 Conclusions and Recommendations
- References
- Active Suspension System Design Using Fuzzy Logic Control and Linear Quadratic Regulator
- Abstract
- 1 Introduction
- 2 Theoretical and Simulation Models
- 2.1 Passive Suspension
- 2.2 Proportional-Integral-Derivative Controller (PID Controller)
- 2.3 Fuzzy Logic Control Design
- 2.4 Linear Quadratic Regulator Design
- 3 Results and Discussion
- 4 Conclusion
- References
- Machine learning methodology and applications
- Prediction of Football Matches' Results Using Neural Networks
- Abstract
- 1 Introduction
- 2 The MLP's Structure
- 2.1 Neurons
- 2.2 Activation Function
- 2.3 Layers
- 3 Neural Network Learning
- 3.1 Supervised Learning
- 3.2 Unsupervised Learning
- 3.3 Reinforced Learning
- 4 World Cup Application
- 5 Validation
- 6 Conclusion
- References
- Multi-class Support Vector Machine Training and Classification Based on MPI-GPU Hybrid Parallel Architecture
- Abstract
- 1 Introduction
- 2 Parallel Architecture
- 2.1 Compute United Device Architecture (CUDA)
- 2.2 Message Passing Interface (MPI)
- 3 Parallel SMO SVM and Proposed Implementation Design
- 3.1 Sequential Support Vector Machine (SVM)
- 3.2 Parallel (SMO)
- 3.3 Parallel Multi-classes Parallel (SMO)
- 3.4 SVM Classification
- 4 Dataset and Experimental Results
- 4.1 Dataset
- 4.2 Experimental Results
- 5 Conclusion
- References
- Supervised Classification Techniques for Identifying Alzheimer's Disease
- 1 Introduction
- 2 Related Work
- 3 Proposed Supervised Learning Approach for AD Identification
- 4 Experiments and Results
- 4.1 Dataset
- 4.2 Experimental Work
- 5 Conclusion
- References
- Supervised Classification of Cancers Based on Copy Number Variation
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 DNA Data Sets Characteristics and Preparation
- 2.2 Features Selection
- 2.2.1 Support Vector Machine (SVM)
- 2.2.2 Random Forest (RF)
- 2.2.3 Decision Trees (J48)
- 2.2.4 Neural Networks
- 2.2.5 Logistic Regression
- 3 Experimental Results
- 4 Comparison with Other Studies
- 5 Conclusion and Future Work
- References
- On Selection of Relevant Fuzzy Implications in Approximate Reasoning
- 1 Introduction
- 2 Basic Notions and Definitions
- 2.1 Ordered Sets
- 2.2 Fuzzy Implications
- 2.3 Fuzzy Production Rules
- 3 Theorems
- 4 Algorithms
- 5 Concluding Remarks
- References
- Sentiment Analysis and Arabic Text Mining
- Expanding N-grams for Code-Switch Language Models
- 1 Introduction
- 2 Related Work
- 3 Corpus
- 4 Approach
- 4.1 Glossary
- 4.2 WordNet
- 5 Evaluation
- 6 Discussion
- 7 Conclusion
- References
- A Sentiment Analysis Lexical Resource and Dataset for Government Smart Apps Domain
- Abstract
- 1 Introduction
- 2 Related Work on Approaches for Building Sentiment Analysis Lexical Resources
- 3 Constructing the Lexical Resources and Dataset
- 3.1 Methodology
- 3.2 Data Analysis
- 3.3 Innovative Smart App Aspects Design Instruments
- 3.4 GARSA for Reviews Annotation
- 3.5 Manual Annotation Approach
- 3.6 Inter-annotator Agreement
- 3.7 Lexicon Generation
- 3.8 Dataset Construction
- 4 Discussion
- 5 Conclusion and Future Prospects
- References
- Pre-trained Word Embeddings for Arabic Aspect-Based Sentiment Analysis of Airline Tweets
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Dataset
- 4 Experiment Design and Implementation
- 4.1 Method
- 4.2 Aspect Detection
- 4.3 Aspect-Based Sentiment Detection
- 5 Results
- 6 Conclusion
- References
- Segmentation Tool for Hadith Corpus to Generate TEI Encoding
- Abstract
- 1 Introduction
- 2 Stat of Art on Hadith in Sahih al-Bukhari Corpus
- 3 Arabic Hadith Features: Sahih al-Bukhari Corpus
- 3.1 Hadith Features
- 3.2 Hadith Structure
- 4 Hadith Segmentation Tool
- 5 Evaluation and Discussion
- 6 Conclusion and Perspectives
- References
- ARARSS: A System for Constructing and Updating Arabic Textual Resources
- Abstract
- 1 Introduction
- 2 Related Work
- 3 System Description
- 4 System Architecture
- 5 A Case Study
- 6 Conclusion
- References
- Swarm Optimizations and Applications
- Face Recognition Based on Grey Wolf Optimization for Feature Selection
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Proposed System
- 3.1 Image Preprocessing
- 3.2 Feature Extraction
- 3.3 Feature Reduction
- 3.4 Feature Selection Using Grey Wolf Optimization (GWO)
- 3.5 Classification
- 4 Implementation and Experimental Results
- 5 Conclusion
- References
- Discrete Grey Wolf Optimization for Shredded Document Reconstruction
- 1 Introduction
- 2 Problem Definition
- 3 Methodology
- 3.1 Wolves Pack
- 3.2 Encircling Prey
- 3.3 Hunting
- 4 Experimental Results
- 4.1 Data Description
- 4.2 Evaluation Criteria Indicators
- 4.3 Results and Discussion
- 5 Conclusion
- References
- Chaotic Bird Swarm Optimization Algorithm
- 1 Introduction
- 2 Bird Swarm Algorithm
- 2.1 Foraging Behaviour
- 2.2 Vigilance Behaviour
- 2.3 Flight Behaviour
- 3 Chaotic Maps
- 4 Chaotic Bird Swarm Algorithm
- 5 Experimental Results and Discussion
- 6 Conclusion and Future Work
- References
- Spherical Local Search for Global Optimization
- Abstract
- 1 Introduction
- 2 Spherical Local Search (SLS)
- 3 Numerical Results
- 3.1 Results and Discussion
- 4 Conclusion
- References
- Automatic White Blood Cell Counting Approach Based on Flower Pollination Optimization Multilevel Thresholoding Algorithm
- 1 Introduction
- 2 Preliminaries
- 2.1 Multilevel Thresholding: Otsu Algorithm
- 2.2 Flower Pollination Algorithm (FPA)
- 2.3 Watershed Algorithm
- 3 The Proposed Automatic White Blood Cell Counting Approach
- 3.1 Multilevel Thresholding Using Flower Pollination Algorithm Phase
- 3.2 Modified Watershed Algorithm and Counting Algorithm Phase
- 4 Experimental Results
- 5 Conclusion and Future Work
- References
- Deep Learning and Cloud Computing
- Improving Citation Sentiment and Purpose Classification Using Hybrid Deep Neural Network Model
- Abstract
- 1 Introduction
- 2 Related Work
- 3 The Proposed Hybrid Deep Learning Model
- 4 Experiments and Evaluation
- 4.1 Experimental Setup
- 4.2 Experimental Results and Discussion
- 5 Conclusion and Future Work
- Acknowledgements
- References
- A Convolutional Neural Network Model for Emotion Detection from Tweets
- Abstract
- 1 Introduction
- 2 Related Work
- 3 CNN Model for Emotion Detection
- 3.1 Text Pre-processing
- 3.2 Embedding Layer
- 3.3 Convolutional and Max-Pooling Layers
- 3.4 Fully-Connected Layer
- 4 Experimental Results
- 5 Conclusion
- References
- Aquarium Family Fish Species Identification System Using Deep Neural Networks
- Abstract
- 1 Introduction
- 2 Deep Convolutional Neural Networks
- 3 Related Works
- 3.1 Alexnet
- 3.2 VGG-16 and VGG-19
- 4 Fish Dataset
- 5 The Proposed Deep CNN System
- 6 Experiment Environment
- 7 Experimental Results
- 8 Conclusions
- Acknowledgements
- References
- AMS: Adaptive Migration Scheme in Cloud Computing
- Abstract
- 1 Introduction
- 2 VM Migration
- 3 The Proposed AMS
- 3.1 System Architecture
- 3.2 AMS Scheduling Operation
- 4 Experimental Case Study
- 5 Comparative Analysis
- 6 Conclusions
- References
- Fully Homomorphic Encryption with AES in Cloud Computing Security
- Abstract
- 1 Introduction
- 2 Homomorphic Encryption for Data Security
- 2.1 Partially Homomorphic Encryption (PHE)
- 2.2 Fully Homomorphic Encryption (FHE)
- 2.3 Drawbacks and Solutions
- 3 The Proposed FHE with AES Symmetric Algorithm
- 3.1 Key Generation Process
- 3.2 Encryption Process
- 3.3 Evaluation Process
- 3.4 Decryption Process
- 4 Performance and Results
- 4.1 Testing Environment
- 4.2 Implementation Results
- 4.3 Overhead, Complexity, and Plaintext Expansion
- 5 Conclusions
- 6 Appendix A
- 6.1 Key Generation Algorithm
- 7 Appendix B
- 7.1 Encryption Algorithm
- 8 Appendix C
- 8.1 Evaluation Algorithm
- 9 Appendix D
- 9.1 Decryption Algorithm
- References
- Deep Learning for Satellite Image Classification
- Abstract
- 1 Introduction
- 2 Review on Publicly Remote Sensing Images Datasets
- 3 Remote Sensing Images Classification Methods
- 3.1 Manually Feature Based Methods
- 3.2 Unsupervised Classification Methods
- 3.3 Supervised Learning Methods
- 3.4 Object-Based Methods
- 4 Experiments and Results
- 4.1 Experimental Procedure
- 4.2 Evaluation and Discussions
- 5 Conclusions
- References
- Information Security, Hiding, and Biometric Recognition
- Fake Reviews Detection Under Belief Function Framework
- 1 Introduction
- 2 Belief Function Theory
- 2.1 Basic Concepts
- 2.2 Discounting Operation
- 2.3 Combination Rules
- 2.4 Decision Making
- 3 The Belief Fake Reviews Detection (BFRD)
- 3.1 Modeling Reviewer's Vote by Mass Functions
- 3.2 Distance Between the Current Reviewer's Vote and All the Other Votes' Aggregation
- 3.3 Construction of a New bba Modeling the Vote into Fake or Not Fake
- 3.4 Decision Making
- 4 Experimentation and Results
- 5 Conclusion
- References
- On Mixing Iris-Codes
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Preliminaries
- 3.1 Double Random Phase Encryption
- 3.2 Fractional Fourier Transform (FrFT)
- 4 Proposed Method
- 4.1 Generation of Encrypted IrisCodes
- 5 Experimental Results and Privacy Threats
- 5.1 Experimental Setup
- 5.2 Performance Evaluation
- 5.3 Privacy Threats
- 6 Conclusion
- References
- Interest Points Detection of 3D Mesh Model Using K Means and Shape Curvature
- 1 Introduction
- 2 Backgrounds and Related Work
- 2.1 K-Means Clustering Algorithm
- 2.2 Interest Points Detection Techniques
- 3 The Proposed Model for Interest Point Detection in 3D Object
- 4 Experimental results
- 5 Conclusion and Future Work
- References
- Two-Factor Authentication Scheme Using One Time Password in Cloud Computing
- Abstract
- 1 Introduction
- 2 Related Work
- 3 The Proposed Two-Factor Authentication Scheme (TFAS)
- 3.1 TFAS Phases
- 3.2 TFAS Code
- 4 Security Analysis
- 4.1 Types of Security Attacks
- 4.2 Security Troubles
- 5 Performance Analysis
- 6 Conclusions and Future Work
- References
- Ear Biometric Recognition Using Gradient-Based Feature Descriptors
- 1 Introduction
- 2 Feature Description
- 3 Evaluation Framework
- 4 Experimental Results
- 4.1 Ear Datasets
- 4.2 Identification Experiments
- 4.3 Verification Experiments
- 5 Conclusion
- References
- A Secure Mutual Authentication Scheme with Perfect Forward-Secrecy for Wireless Sensor Networks
- Abstract
- 1 Introduction
- 2 Related Work
- 3 The Proposed Scheme
- 3.1 Pre-deployment Phase
- 3.2 Registration Phase
- 3.3 Login and Authentication Phase
- 3.4 Password Change Phase
- 4 Security Analysis
- 5 Conclusion
- References
- Personal Identification Based on Mobile-Based Keystroke Dynamics
- 1 Introduction
- 2 Preliminaries
- 2.1 Genetic Algorithm (GA)
- 2.2 Bagging Classifiers
- 3 Proposed Model
- 3.1 Feature Selection Phase
- 3.2 Classification Phase
- 4 Experimental Results
- 4.1 Dataset
- 4.2 Feature Selection Experiment
- 4.3 Classification Experiment
- 5 Discussions
- 6 Conclusions and Future Work
- References
- Data Mining, Visualization and E-learning
- Factors Affecting Students' Acceptance of E-Learning System in Higher Education Using UTAUT and Structural Equation Modeling Approaches
- Abstract
- 1 Introduction
- 2 Research Model and Hypotheses
- 2.1 Performance Expectancy
- 2.2 Effort Expectancy
- 2.3 Social Influence
- 2.4 Facilitating Conditions
- 2.5 Behavioral Intention to Use
- 3 Research Methodology
- 3.1 Students' Personal Information/Demographic Data
- 4 Findings and Discussion
- 4.1 Measurement Model Analysis
- 4.2 Structural Model Analysis
- 5 Conclusion and Future Works
- 5.1 Study Contributions and Discussion
- 5.2 Limitations and Future Directions
- References
- Adoption of E-Book for University Students
- Abstract
- 1 Introduction
- 2 Literature Review
- 3 Research Model and Hypotheses
- 3.1 Computer Self-efficacy
- 3.2 Confirmation
- 3.3 Innovativeness
- 3.4 Subjective Norm
- 3.5 Perceived Usefulness/Perceived Ease of Use
- 3.6 Satisfaction
- 4 Research Methodology
- 4.1 Procedure
- 4.2 Participants
- 5 Findings and Discussion
- 5.1 Measurement Model Analysis
- 5.2 Structural Model Analysis
- 6 Conclusion and Future Works
- References
- A Predictive Model for Seminal Quality Using Neutrosophic Rule-Based Classification System
- 1 Introduction
- 2 Preliminaries
- 2.1 Neutrosophic Set and Neutrosophic Logic
- 2.2 Imbalanced Datasets
- 3 The Proposed Predictive Seminal Quality Model
- 3.1 Neutrosophic Rule-Based Classification System (NRCS)
- 3.2 GNRCS: Classification System Based on Neutrosophic Logic and Genetic Algorithm
- 4 Experimental Results
- 4.1 Dataset Description
- 4.2 Seminal Quality Classification Using the NRCS and GNRCS Models
- 4.3 Experimental 2 (Obtaining Balanced Data)
- 5 Conclusions and Future Work
- References
- Robust Simulation and Visualization of Satellite Orbit Tracking System
- Abstract
- 1 Introduction
- 2 Methods
- 2.1 Position and Velocity Coordinates
- 2.2 Keplerian Elements
- 2.3 Euler Angle Transformations
- 2.4 Orbit Prediction
- 3 Simulation Results
- 4 Conclusion
- Acknowledgment
- References
- A Novel Rough Sets Positive Region Based Parallel Multi-reduction Algorithm
- 1 Introduction
- 2 Methodology
- 2.1 Rough Sets
- 2.2 MapReduce
- 3 A Positive Region Based Parallel Multi-reduction Algorithm
- 4 Experimental Results
- 5 Conclusion
- References
- Automatic Counting and Visual Multi-tracking System for Human Sperm in Microscopic Video Frames
- Abstract
- 1 Introduction
- 2 Computer Assisted Semen Analysis (CASA)
- 3 The Proposed Counting and Visual Multitracking for Human Sperm System
- 4 Experimental Results
- 5 Conclusions and Future Work
- References
- Intelligent Systems
- Arabian Horse Identification System Based on Support Vector Machines
- Abstract
- 1 Introduction
- 2 Background
- 2.1 Speeded Up Robust Feature
- 2.2 K-Means Clustering
- 3 Support Vector Machine
- 4 The Proposed Arabian Horse Identification Approach
- 5 Experimental Results and Discussion
- 6 Conclusions and Future Work
- References
- Automatic Sheep Weight Estimation Based on K-Means Clustering and Multiple Linear Regression
- 1 Introduction
- 2 Camera Setting
- 3 Theory and Background
- 3.1 K-Means Clustering
- 3.2 Multiple Linear Regression
- 4 The Proposed Automatic Sheep Weight Estimation System
- 4.1 Pre-processing Phase
- 4.2 Segmentation Phase
- 4.3 Post-processing Phase
- 4.4 Weight Estimation Phase with Regression Function
- 5 Experimental Results and Discussion
- 6 Conclusion and Future Work
- References
- A Simulation-Based Optimization Approach for Assessing Sustainability in a Multi-construction Projects Environment
- Abstract
- 1 Introduction
- 2 Sustainable Construction Models
- 3 Methodology
- 4 Experiments and Results
- 4.1 Not Addressing Any External Factors
- 4.2 Technological Advancement Factor
- 4.3 Technological Advancement and Change in People's Perceptions Factors
- 5 Conclusion and Future Work
- References
- Detection of Water Safety Conditions in Distribution Systems Based on Artificial Neural Network and Support Vector Machine
- Abstract
- 1 Introduction
- 2 Methodology
- 2.1 Study Area and Data Collection
- 2.2 Statistical Analysis of Data
- 2.3 Artificial Neural Network (ANN) Classification Model
- 2.4 Support Vector Machine (SVM) Classification Model
- 2.5 Model Development and Performance Indices
- 3 Results and Discussion
- 3.1 Descriptive Statistics
- 3.2 Results of the ANN and SVM Models
- 3.3 Classification Accuracy
- 4 Conclusion
- Acknowledgement
- References
- Clustering Stock Markets for Balanced Portfolio Construction
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Methodology
- 4 Applying Clustering Algorithms
- 5 Validation
- 6 Experiment Results
- 7 Framework Setup
- 8 Conclusion and Future Prospects
- References
- An Improved Cache Invalidation Policy in Wireless Environment Cooperate with Cache Replacement Policy Based on Genetic Programming
- Abstract
- 1 Introduction
- 2 State-of-the-Art Cache Replacment Algorithm
- 3 The Proposed Model
- 4 Experimental Results
- 5 Conclusions
- References
- Adopting Non-linear Programming to Select Optimum Privacy Parameters for Multi-parameters Perturbation Algorithm for Data Privacy Improvement in Recommender Systems
- Abstract
- 1 Introduction
- 2 Related Work
- 3 The Proposed Methodology
- 3.1 Data Sanitization Phase
- 3.2 Generating Recommendation Phase
- 4 Experiments and Results
- 4.1 Experimental Data
- 4.2 Experimental Results
- 5 Conclusion and Future Work
- References
- Content Based Image Retrieval Using Local Feature Descriptors on Hadoop for Indoor Navigation
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Hadoop MapReduce
- 4 Content Based Image Retrieval (SIFT and SURF)
- 4.1 Scale Invariant Feature Transform (SIFT)
- 4.2 Speeded Up Robust Features (SURF)
- 5 CBIR with OpenCV over Hadoop Implementation
- 6 Conclusion
- References
- Design and Implementation of Embedded System for Nuclear Materials Cask in Nuclear Newcomers
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Proposed Embedded System Design and Operation
- 3.1 Sensor Modules
- 3.2 Online Cask Monitoring and Tracking
- 3.3 Microcontroller
- 3.4 Proposed Frame Format
- 3.5 Proposed Embedded System Operation
- 4 Results
- 4.1 Gamma Source Terms Calculation
- 4.2 Online Cask Monitoring
- 4.3 Online Cask Tracking
- 4.4 SMS Warnings and Alerts
- 5 Discussions
- 5.1 Ionizing Radiation Effects on Electronic Circuits
- 5.2 GSM Network Losing
- 6 Conclusion
- Acknowledgement
- References
- Combined Features for Content Based Image Retrieval: A Comparative Study
- 1 Introduction
- 2 Low Level CBIR Framework
- 2.1 Low-Level Feature Extraction
- 2.2 Dimensionality Reduction and Indexing
- 2.3 Similarity Measurements
- 2.4 Lucene Image Retrieval System (LIRe)
- 3 Image Descriptors
- 3.1 Edge Histogram Descriptor (EHD)
- 3.2 Color Layout Descriptor (CLD)
- 3.3 Fuzzy Color Texture Histogram (FCTH)
- 4 Experimental Evaluation
- 4.1 Dataset and Queries
- 4.2 Experimental Results
- 5 Conclusions and Future Work
- References
- PLS-SEM in Information Systems Research: A Comprehensive Methodological Reference
- Abstract
- 1 Introduction
- 2 Research Design
- 3 Instrument Development and Measurement
- 4 Instrument Validation
- 4.1 Pre-testing
- 4.2 Pilot Study
- 5 Population and Sample Size
- 6 Sampling Technique and Definition of the Units of Analysis
- 7 Data Collection and Ethical Procedures
- 8 Data Analysis
- 9 Structural Equation Modelling (SEM)
- 10 Partial Least Squares (PLS)
- 11 Assessment of Measurement and Structural Models
- 11.1 Measurement Model Assessment
- 11.1.1 Convergent Validity
- 11.1.2 Discriminant Validity
- 11.2 Structural Model Assessment
- 12 Conclusion
- Acknowledgement
- References
- Automatic Segmentation of Chromosome Cells
- Abstract
- 1 Introduction
- 2 Related Work
- 3 The Proposed Chromosome Segmentation Method
- 4 Experiments and Results
- 4.1 Tools and Chromosomes Digital Images Dataset
- 4.2 Experiments
- 5 Conclusions and Future Work
- Acknowledgment
- References
- Cube Satellite Failure Detection and Recovery Using Optimized Support Vector Machine
- Abstract
- 1 Introduction
- 2 Preliminaries
- 2.1 Support Vector Machine (SVM)
- 2.2 Grey Wolf Optimization (GWO)
- 3 The Proposed Model
- 4 Experimental Results
- 4.1 Comparison of the Accuracy
- 4.2 Comparison of Stability
- 4.3 Comparison of Convergence Speed
- 4.4 Comparison of the Computational Time
- 5 Conclusion and Future Work
- Acknowledgement
- References
- Author Index
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