
Advances in Electronics Engineering
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This book presents the proceedings of ICCEE 2019, held in Kuala Lumpur, Malaysia, on 29th-30th April 2019. It includes the latest advances in electrical engineering and electronics from leading experts around the globe.
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Content
- Intro
- Foreword
- Preface
- Contents
- 1 Lotus-G: The PVT TLM Virtual Platform for Early RUMPS401 Software Development
- Abstract
- 1 Introduction
- 2 Material and Method
- 2.1 Lotus-G
- 2.2 RUMPS401
- 2.3 SystemC and TLM
- 2.4 Instruction Set Simulator
- 2.5 Software Bootloader
- 3 Results and Discussion
- 4 Conclusions
- Acknowledgements
- References
- 2 Utilization of Learning Management System (LMS) Among Instructors and Students
- Abstract
- 1 Introduction
- 2 LMS Utilization
- 3 Case Study: GUST
- 3.1 LMS Utilization at GUST: An Investigation
- 3.2 Findings
- 4 Conclusion and Future Directions
- Acknowledgements
- References
- 3 Optical Amplification in Multiple Cores of Europium Aluminium Composite Incorporated Polymer-Based Optical Waveguide Amplifier by Using Mosquito Method
- Abstract
- 1 Introduction
- 2 Mosquito Method as Fabrication Technique
- 2.1 Optimum Dispensing Parameters
- 2.2 Circularity of the Core Diameter
- 3 Performance of Eu-Al/BzMA
- 4 Conclusions
- References
- 4 A Review on Correlating Gas District Cooling (GDC) Model with Data Center (DC) Operation for Environmental and Economic Performance
- Abstract
- 1 Introduction
- 2 Literature Review
- 2.1 Gas District Cooling (GDC) Model
- 2.2 Cooling and Optimization of Cloud Data Center
- 2.3 Real-Time Scheduling Algorithm
- 3 Methodology
- 4 Results and Discussions
- 5 Conclusion
- Acknowledgements
- References
- 5 Multifunctional In-Memory Computation Architecture Using Single-Ended Disturb-Free 6T SRAM
- Abstract
- 1 Introduction
- 2 SRAM Design with IMC
- 2.1 6T SRAM Cell with Control Circuit
- 2.2 RCA Unit
- 2.3 In-Memory Computing Operation
- 3 Simulation and Verification
- 4 Conclusion
- Acknowledgements
- References
- 6 Accurate RR-Interval Detection with Daubechies Filtering and Adaptive Thresholding
- Abstract
- 1 Introduction
- 2 Accurate RR-Interval Estimation Approach Based on Swt and Adaptive Threshold
- 2.1 Wavelet Transform
- 2.2 Stationary Wavelet Transform (SWT)
- 2.3 Adaptive Thresholding
- 2.4 Peak Detector
- 3 Experiments
- 4 Conclusions
- Acknowledgements
- References
- 7 Ant Colony Optimization Algorithm to Solve Electrical Cable Routing
- Abstract
- 1 Introduction
- 2 Electrical Cable Routing
- 3 Ant Colony System
- 3.1 An Ant Position on City R Chooses the City S to Move by Applying the State Transition Rule (Pseudo-random-Proportional Rule) Given by Eq. 1
- 3.2 Then the Pheromones Are Updated in the Edges of the Best Ant Tour Using Global Updating Rule in Eq. (3)
- 3.3 When Ants Move from One City to Another, Local Pheromone Updating Rule Is Applied as Eq. (4)
- 4 Algorithm Implementation
- 4.1 Modifications to the Ant Colony System Algorithm to Solve Wire Routing
- 4.2 Pseudo-code of the Ant Colony System Algorithm - Solve Wire Routing
- 5 Experimentation
- 5.1 Experiment 1-Wire Routing from Start to a Target Point
- 5.2 Experiment 2-Wire Routing from Start to Target Point with Obstacle Avoidance
- 5.3 Experiment 3-Wire Routing from Start to Target Point with Extended Grid with Multiple Obstacles
- 6 Results and Discussion
- 6.1 Experiment 1-Wire Routing from Start to a Target Point
- 6.2 Experiment 2-Wire Routing from Start to Target Point with Obstacle Avoidance
- 6.3 Experiment 3-Wire Routing from Start to Target Point with Extended Grid with Multiple Obstacles
- 7 Conclusion
- References
- 8 Circuit-Based Model Grounding Electrode Considering Frequency Dependent of Soil Resistivity and Relative Permittivity
- Abstract
- 1 Introduction
- 2 Modeling Methods
- 2.1 Circuit-Based Model
- 2.2 Frequency Dependence of Soil Parameters
- 3 Results and Discussion
- 4 Conclusion
- Acknowledgements
- References
- 9 A Comprehensive Study on Deep Image Classification with Small Datasets
- Abstract
- 1 Introduction
- 2 Background
- 2.1 Image Classification with CNNs
- 2.2 Deep Transfer Learning
- 3 Problem Overview
- 3.1 Problem Specification
- 3.2 Datasets
- 4 Methodology
- 4.1 Training from Scratch
- 4.2 Training from Deep Transfer Learning
- 5 Results
- 5.1 Implementation Details
- 5.2 Scratch Training Results
- 5.3 Transfer Learning Results
- 6 Discussions
- 7 Conclusion
- References
- 10 Development of a WiFi Smart Socket and Mobile Application for Energy Consumption Monitoring
- Abstract
- 1 Introduction
- 2 Proposed Smart Socket Design
- 3 Mobile Application Development
- 4 Conclusion
- Acknowledgements
- References
- 11 Forecasting International Tourist Arrivals from Major Countries to Thailand
- Abstract
- 1 Introduction
- 2 Literature Review
- 2.1 Summary of Explanatory Methods for Tourism Demand
- 2.2 Summary of the Time Series Model for Tourism Demand
- 2.3 Review of Forecasting Demand for Thai Tourism
- 3 Research Methodology
- 3.1 The Data
- 3.2 Forecasting Models
- 4 Results and Discussion
- 4.1 Multiple Regression Model
- 4.2 Seasonal ARIMA Model
- 5 Conclusions
- References
- 12 Depth Estimation Based on Stereo Image Using Passive Sensor
- Abstract
- 1 Introduction
- 2 Methodology
- 2.1 Matching Cost Computation
- 2.2 Cost Aggregation
- 2.3 Depth Map Optimization
- 2.4 Refinement Stage
- 3 Results and Discussion
- 4 Conclusion
- Acknowledgements
- References
- 13 Pairwise Test Suite Generation Based on Hybrid Artificial Bee Colony Algorithm
- Abstract
- 1 Introduction
- 2 Pairwise Test Suite Generation Algorithm
- 3 Result
- 4 Conclusions
- References
- 14 Language Modelling for a Low-Resource Language in Sarawak, Malaysia
- Abstract
- 1 Introduction
- 2 Related Works
- 2.1 Language Modelling
- 2.2 Evaluating Language Model
- 2.3 Low-Resource Language in Malaysia
- 3 Iban Language Data
- 3.1 Normalizing the Text Corpus
- 4 Iban Language Modelling Experiments
- 4.1 Building n-Gram Language Models
- 4.2 Obtaining RNN Language Models
- 4.3 Merging n-Gram and RNNLM Language Models
- 5 Conclusions and Future Work
- References
- 15 Deep Convolutional Network Approach in Spike Train Analysis of Physiotherapy Movements
- Abstract
- 1 Introduction
- 2 Previous Work
- 3 Methodology
- 3.1 Spike Train
- 3.2 Convolutional Neural Network (CNN)
- 4 Result and Analysis
- 4.1 Experimental Setting
- 4.2 Dataset
- 4.3 Spike Train Analysis
- 4.4 CNN Classification
- 5 Conclusion
- Acknowledgements
- References
- 16 Faster Convergence of Q-Learning in Cognitive Radio-VANET Scenario
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Q-Learning Algorithm
- 4 Proposed Dynamic Machine Learning Framework
- 5 Performance Evaluation
- 6 Conclusion
- Acknowledgements
- References
- 17 Using Multicultural Herbal Information to Create Multi-pattern Herb Name Retrieval System
- Abstract
- 1 Introduction
- 2 Background
- 2.1 Herb Names in Multicultural Herbal Information
- 2.2 String Matching Algorithm
- 2.3 Machine Translator
- 3 Multi-pattern Herb Name Retrieval System
- 4 Experimental Settings
- 5 Experimental Results
- 5.1 Herb Names in Thai and English (Including Scientific Names)
- 5.2 Herb Names in Other Languages
- 6 Conclusion and Future Work
- References
- 18 Aspect Categorization Using Domain-Trained Word Embedding and Topic Modelling
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Model Description
- 3.1 Word Embedding
- 3.2 Aspect-Term Categorization in Topic Modelling
- 3.3 An Improved CGS
- 4 Results and Conclusion
- Acknowledgements
- References
- 19 Experimental Investigations of the Effect of Temperature on Power in a Combined Photovoltaic Cell and Thermo-Electric
- Abstract
- 1 Introduction
- 1.1 Photovoltaic Model (PV Cell)
- 1.2 Thermoelectric Model (TEG)
- 2 Methods
- 2.1 Hybrid Model (PV/TEG) Fabrication
- 2.2 Hardware Preparation
- 3 Experiment Setup
- 3.1 Non-uniformity Calculation
- 4 Results and Discussion
- 4.1 TEGs Results
- 4.2 Combined System Results
- 5 Conclusion
- Acknowledgements
- References
- 20 Impact of Different Annealing Processes on the Performance of Nylon-Based Artificial Muscles for the Use in Robotic Prosthetic Limbs
- Abstract
- 1 Introduction
- 2 Methodology
- 2.1 Design of Testbed
- 2.2 Material/Sample Preparation
- 2.3 Conduct of Experiment
- 3 Result and Discussion
- 3.1 Durability
- 3.2 Amount of Tensile Force
- 3.3 Time Taken to Reach Maximum Force
- 4 Conclusion
- Acknowledgements
- References
- 21 Nonlinear Proportional Integral (NPI) Double Hyperbolic Controller for Pneumatic Actuator System
- Abstract
- 1 Introduction
- 2 Methodology
- 2.1 Experimental Set up
- 2.2 System Model
- 3 Controller Design
- 3.1 Proportional Integral (PI) Controller
- 3.2 Nonlinear Proportional Integral (NPI) Double Hyperbolic Controller
- 4 Result and Discussion
- 5 Conclusion
- Acknowledgements
- References
- 22 CFOA Based Negative Floating Capacitance Multiplier
- Abstract
- 1 Introduction
- 2 Recommended Circuit
- 3 Simulations and Discussion
- 4 Application
- 5 Conclusion
- References
- 23 Single Clock Diode Based Adiabatic Logic Family at Sub-90nm Regime
- Abstract
- 1 Introduction
- 2 Adiabatic Logic Circuits
- 2.1 Adiabatic Logic
- 2.2 DFAL
- 3 Single Clock Diode Based Adiabatic Logic
- 3.1 Single Clock Diode Based Adiabatic Logic
- 4 1 Bit Alu Design Using SC-DBAL
- 5 Simulative Investigation
- 5.1 Simulation Environment
- 5.2 Power Measurement
- 5.2.1 Variation with Frequency
- 5.2.2 Variation with Capacitance
- 6 Conclusion
- References
- 24 Optimization of Regressing Analysis Technique to Estimate the Number of Tourists in Popular Provinces in Tourism of Thailand
- Abstract
- 1 Introduction
- 2 Literature Review
- 2.1 Linear Regression
- 2.2 The Second Derivative
- 2.3 Related Researches
- 3 Methodology Materials
- 4 Results and Findings
- 5 Conclusion
- Acknowledgements
- References
- 25 The Impact of Pre-processing and Feature Selection on Text Classification
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Methodology
- 3.1 Pre-processing Activities
- 3.2 Feature Selection
- 4 Result and Discussion
- 5 Conclusion
- Acknowledgements
- References
- 26 Developing and Validating an Instrument to Measure the Trust Effect Towards Instagram Sellers
- Abstract
- 1 Introduction
- 1.1 Trust in Instagram
- 2 The Conceptual Model
- 3 Research Methodology
- 3.1 Instrument Development
- 3.2 Pilot Survey
- 3.3 Data Collection and Analysis
- 4 Data Analysis and Results
- 5 Conclusion
- Acknowledgements
- References
- 27 Technical Feasibility and Econometrics of a Small Hydro Power Plant for a Farm Settlement in Nigeria
- Abstract
- 1 Introduction
- 1.1 A Sub Topographical, Perimeter and Hydro-Meteorological Survey of the Project Location
- 2 Proposed Hydropower Plant
- 2.1 Location of the Dam and Power House
- 3 Determination of Suitable Gross Head for the Hydropower Plant
- 3.1 Detailed Description of the Scope of Works
- 3.2 The Power House
- 3.3 Mechanical Equipment
- 3.4 Hydraulic Parameters for Designing the Turbine
- 3.5 Hydraulic Control Module
- 3.6 Powerhouse Crane
- 3.7 Electrical Equipment
- 3.8 Generator
- 3.9 Main Step-up Transformer
- 3.10 Plant Auxiliary Systems
- 3.11 Distribution Line 11 kV
- 4 Electricity Consumption Model Energy Generation and Evacuation Synergy
- 4.1 Financial Analysis of the Proposed Hydropower Plant
- 4.2 Forecasted Revenue
- 4.3 Project Costs
- 4.4 Operational and Maintenance Cost
- 4.5 Cash Flow Analysis
- 5 Conclusion
- References
- 28 The Technological Implications of Using MEMS-Based Generators as a Replacement to Batteries in Electronic Devices-A Short Review
- Abstract
- 1 Introduction
- 1.1 Principles of Operation
- 2 Parameters for the Design
- 3 Fabrication Techniques and Processes
- 4 Technological Benefits of MEMs Piezoelectric
- 5 Feasible Future Application
- 6 Conclusion
- References
- 29 Face Recognition Using Laplacian Completed Local Ternary Pattern (LapCLTP)
- Abstract
- 1 Introduction
- 2 Related Work
- 2.1 Local Binary Pattern (LBP)
- 2.2 Local Ternary Pattern (LTP)
- 2.3 Completed Local Ternary Pattern (CLTP)
- 3 Proposed Laplacian Completed Local Ternary Pattern (LapCLTP)
- 3.1 Laplacian Filter
- 3.2 Proposed LapCLTP
- 4 Experiments and Results
- 4.1 Japanese Female Facial Expressions Database (JAFFE)
- 4.2 Yale Face Database (YALE)
- 5 Conclusion
- Acknowledgements
- References
- 30 An Insider Threat Factors and Features Categorization for Manufacturing Execution System
- Abstract
- 1 Introduction
- 1.1 An Insider Threat Factors
- 1.2 Related Research in an Insider Threats
- 1.2.1 Insider Threats Cause by Human Factor
- 1.2.2 Insider Threats Cause by System Factor
- 1.2.3 Insider Threats Cause by Machine Factor
- 1.3 Conclusion and Recommendation
- References
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