Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017)

Name: Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017) | Transcending Boundaries, Embracing Multidisciplinary Diversities
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Transcending Boundaries, Embracing Multidisciplinary Diversities

Liew-Kee Kor Abd-Razak Ahmad Zanariah Idrus Kamarul Ariffin Mansor(Herausgeber*in)

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Erschienen am 27. März 2019

XX, 595 Seiten

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Associate Professor Dr Liew-Kee Kor is a PhD graduate in Mathematics education. Her PhD project on the use of graphics calculator had won an award in the USM Graduate Research Exposition 2004. Since then, she has been actively researching and publishing articles on technology in mathematics education. She has presented papers at national and international conferences and has written journal articles pertaining to the use of educational technology in the teaching of mathematics. She is also actively involved in reviewing papers for journals and conferences. She has co-authored papers published in The Encyclopedia of the Science of Learning, Cases of Mathematics Professional Development in East Asian Countries, and the ZDM Mathematics Education. She was also a regional editor and contributing author in B. Sriraman (Ed.) The first Sourcebook on Asia Research in Mathematics Education: China, Korea, Singapore, Japan, Malaysia, and India. She has contributed a book chapter in the Student-Driven Learning Strategies for the 21st Century Classroom published by the IGI Global. She is also one of the Editors in the Proceedings of The 2nd International Conference on Computing, Mathematics and Statistics (iCMS2015) - Bridging Research Endeavor in Computing, Mathematics and Statistics, published by Springer.
Abd-Razak Ahmad is an Associate Professor at Universiti Teknologi MARA. He obtained his PhD in Corporate Failure Modeling from Leeds University, United Kingdom. He received his bachelor's degree in Economics/Mathematics from Macalester College and a master's degree in Mathematics from Eastern Michigan University, both in the United States. His main research interest is on credit risk and financial modeling and his current works involve building separate credit risk models for Malaysian public firms using Black-Scholes-Merton based model and building Partial Least Square based bankruptcy models for small and medium enterprises. Using analytic hierarchy process, he works on ethics based corporate social responsibility efficiency and performance models for Islamic financial institutions which include Islamic banks. He is also working on the performance efficiency of Takaful firms using data enveloping analysis. He is also one of the Editors in the Proceedings of the 2nd International Conference on Computing, Mathematics and Statistics (iCMS2015) - Bridging Research Endeavor in Computing, Mathematics and Statistics, published by Springer.

Illiasaak Ahmad is currently the Head Computer Science Department, Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Cawangan Kedah. He received his Bachelor of Science (Hons.) degree in Information Technology from Universiti Teknologi MARA and Master of Engineering (Computer Engineering) degree from Universiti Teknologi Malaysia (UTM). In 2015, he received a Fellowship Award to attend International Conference on Internet Application, Protocols and Services (NETAPP 2015) organized by Universiti Utara Malaysia (UUM). He has more than eight years working experience in Information Communication Technology (ICT) related industries, prior joining UiTM Cawangan Kedah. He has published papers in indexed journals and conference proceedings. He is one of the editors for The Proceedings of the 2nd International Conference on Computing, Mathematics and Statistics (iCMS2015) - Bridging Research Endeavor in Computing, Mathematics and Statistics, published by Springer. His current research interests include Computer Technology and Networking, High-Performance and Distributed Computing. He is a professional member of Association for Computing Machinery (ACM).

Kamarul Ariffin Mansor is currently a lecturer in the Department of Mathematical Sciences, Faculty of Computers and Mathematical Sciences, UiTM Kedah Branch Campus. He has been with UiTM Kedah since 2002. He holds a Master of Science degree in Decision Science from Universiti Utara Malaysia (UUM) and a Bachelor of Science degree in Mathematics with a minor in Economics from University of Kentucky, USA. He is also a member of the Editorial Team Reviewer Board for Independent Journal of Management & Production (IJM&P) and Austrian Statistical Journal (AJS). In addition, The Romanian Foundation of Business Intelligence (FRIA) has also recognize Mr Kamarul Ariffin Mansor as SEA - Practical Application of Science Member starting 1st September 2016. Mr Kamarul Ariffin Mansor specialization and interest is in statistical and decision making analysis. However, his main research area is in Structural Equation Modeling (SEM).He is actively involved in consultancy work and instructor for training workshop, especially in statistical analysis using statistical software such as IBM SPSS Statistics, AMOS, SmartPLS and R.

Inhalt

Intro
Organizing Committee
Local Organizing Committee
International Scientific Committee
Reviewers
Preface
About This Book
Contents
Computing
1 Determining Influential Household Routines for Domestic Water Consumption Estimation via Genetic Algorithm
Abstract
1 Introduction
2 Methodology
2.1 Data Collection
2.2 Genetic Algorithm
3 Results and Findings
4 Conclusion
Acknowledgements
References
2 Sport Suitability Prediction Based on Physical Fitness Components Using k-Nearest Neighbors Algorithm
Abstract
1 Introduction
2 Physical Fitness Test
3 K-Nearest Neighbors Algorithm
4 Design and Implementation
4.1 Data Preparation
4.2 Experimental Configurations
5 Result and Discussion
6 Conclusion
References
3 Handling Imbalanced Ratio for Class Imbalance Problem Using SMOTE
Abstract
1 Introduction
1.1 Imbalanced Ratio
2 Data Collection
3 Data Pre-processing
4 Classification
4.1 Synthetic Minority Over-Sampling
5 Results
6 Conclusion
Acknowledgements
References
4 Blood Vessels Segmentation of Retinal Fundus Image via Stack-Based Object-Oriented Region Growing
Abstract
1 Introduction
2 Methodology
2.1 Data Collection
2.2 SORG Algorithm Flow
3 Results and Discussion
4 Conclusion and Recommendation
References
5 Similarity Measures of Intuitionistic Fuzzy Sets for Cancer Diagnosis: A Comparative Analysis
Abstract
1 Introduction
2 Preliminary
3 Application
3.1 Experts and Linguistic Variables
3.2 Proposed CSM of IFS
3.3 Implementation
4 Comparative Analysis
5 Conclusion
References
6 Comprehensive Performance Assessment on Open Source Intrusion Detection System
Abstract
1 Introduction
2 Methodology
2.1 Hardware and Software Specifications
2.2 Categories of Attacks
3 Results and Discussion
3.1 Attack Results
4 Configuration Analysis
5 Conclusion
References
7 Mobile Ad-Hoc Network (MANET) Routing Protocols: A Performance Assessment
Abstract
1 Introduction
2 Literature Review
2.1 Destination-Sequenced Distance-Vector (DSDV)
2.2 Dynamic Source Routing (DSR)
2.3 Ad Hoc On-Demand Distance Vector (AODV)
2.4 Ad Hoc On-Demand Multipath Distance (AOMDV)
3 Methodology
4 Results and Discussion
5 Conclusion
References
8 Multimedia Data Archive Application in Cloud Environment
Abstract
1 Introduction
2 Temporal Based Multimedia Data Archive Model
2.1 The Service Design
2.2 Time Granularities in Multimedia Data Archive
3 The Application Deployment
3.1 The Architecture
3.2 The Prototype
4 Conclusions
Acknowledgements
References
9 Thalas Test Android Application
Abstract
1 Introduction
2 Related Work
3 Methodology
4 Results
4.1 User Evaluation
5 Conclusion
References
10 Dimensions of Mobile Information Behavior
Abstract
1 Introduction
2 Aim of Study
3 Method
3.1 Design
3.2 Research Instrument
3.3 Data Collection
3.4 Data Analysis
4 Results
4.1 Sample Characteristics
4.2 Validity of Mobile Information Behavior
4.3 Factor Analysis Result of Mobile Information
4.4 Reliability
5 Conclusion
Acknowledgements
References
Mathematics
11 A Promising Method to Approximate Fractional Derivatives Under Uncertainty
Abstract
1 Introduction
2 Basic Definitions
3 Solution Method
4 Numerical Results
5 Conclusion
References
12 Energy Dissipation of Free Convection Boundary Layer Flow in a Jeffrey Fluid Across a Horizontal Circular Cylinder with Suspended Nanoparticles
Abstract
1 Introduction
2 Mathematical Formulation
3 Result and Discussions
4 Conclusion
Acknowledgements
References
13 Generalized Half-Step Hybrid Block for Solving Second Order Ordinary Differential Equations Directly
Abstract
1 Introduction
2 Development of the Method
3 Analysis of the Method
3.1 Order of the Method
3.2 Zero Stability
3.3 Consistency and Convergence
3.4 Numerical Results
4 Conclusion
References
14 Mixed Convection Boundary Layer Flow on a Solid Sphere in a Viscoelastic Micropolar Fluid
Abstract
1 Introduction
2 Mathematical Formulation
3 Results and Discussion
4 Conclusion
Acknowledgements
References
15 Mathematical Modelling of Bank Financial Management in Malaysia with Goal Programming Approach
Abstract
1 Introduction
2 Data and Methodology
2.1 Goal Programming Model
2.2 Data
3 Result and Discussion
4 Conclusion
References
16 Numerical Solutions on Boundary Layer of Casson Micropolar Fluid Over a Stretching Surface
Abstract
1 Introduction
2 Mathematical Formulation
3 Results and Discussion
4 Conclusion
Acknowledgements
References
17 One-Step Third-Derivative Block Method with Two-Hybrid Points for Solving Non-linear Dirichlet Second Order Boundary Value Problems
Abstract
1 Introduction
2 Development of the Method
3 Analysis of the Method
3.1 Zero Stability
3.2 Order of the Method
3.3 Consistency
3.4 Convergence
4 Numerical Examples
5 Conclusion
References
18 Pricing Asian Option by Solving Black-Scholes PDE Using Gauss-Seidel Method
Abstract
1 Introduction
2 The Model
3 Crank-Nicolson Discretization Scheme
4 Gauss-Seidel Iterative Method
5 Numerical Results
6 Conclusion
References
19 Reinforcement Learning for Computing Power Grid Network Operating Functions
Abstract
1 Introduction
2 List of Electrical Equipment and Material Used in Transmission Grid Support System
3 Reinforcement Learning to Computationally Determine or Estimate Transmission Line
4 A Sequential Reinforcement Learning
5 Reinforcement Learning: A New Perspective
6 Conclusion
20 Similarity Measure for Fuzzy Number Based on Distances and Geometric Shape Characteristics
Abstract
1 Introduction
2 Existing Fuzzy Similarity Measures for Generalized Trapezoidal Fuzzy Numbers
3 Proposed Fuzzy Similarity Measure
4 Comparison of Fuzzy Similarity Measures
5 Conclusion
Acknowledgements
References
21 Solving Fourth Order Linear Initial and Boundary Value Problems Using an Implicit Block Method
Abstract
1 Introduction
2 Methodology
3 Properties of the Implicit Block Method
4 Numerical Results and Discussion
5 Conclusion
References
22 Stability Analysis of Explicit and Semi-implicit Euler Methods for Solving Stochastic Delay Differential Equations
Abstract
1 Introduction
2 Stochastic Delay Differential Equations
2.1 Euler Scheme for SDDEs
2.2 Convergence and Mean Square Stability of Euler Scheme
3 Numerical Experiments
4 Conclusions
Acknowledgements
References
23 Stability Analysis of 4-Stage Stochastic Runge-Kutta Method (SRK4) and Specific Stochastic Runge-Kutta Method (SRKS1.5) for Stochastic Differential Equations
Abstract
1 Introduction
2 Stochastic Runge-Kutta (SRK) Methods for SDEs
3 Stability Analysis of Stochastic Runge-Kutta (SRK) Methods for SDEs
4 Results and Discussions
5 Conclusion
Acknowledgements
References
24 The VIKOR Method with Pythagorean Fuzzy Sets and Their Applications
Abstract
1 Introduction
2 Proposed Pythagorean Fuzzy VIKOR
3 Numerical Example
3.1 Implementation
4 Conclusions and Future Works
References
25 Topological Properties of Flat Electroencephalography
Abstract
1 Introduction
2 Literature Review
3 Materials and Method
4 Results and Discussions
5 Conclusions
Acknowledgement
References
26 Two-Phase Mixed Convection Flow of Dusty Williamson Fluid with Aligned Magnetic Field over a Vertical Stretching Sheet
Abstract
1 Introduction
2 Mathematical Formulation
3 Results and Discussion
4 Conclusion
Acknowledgements
References
27 Unveiling the Asymmetric Adjustments of Policy Reaction Function in Indonesia
Abstract
1 Introduction
2 Literature Review
3 Data and Methodology
4 Results and Discussion
5 Conclusion
Acknowledgements
References
Statistics
28 A Comparative Study of Outlier Detection Methods in Poisson Regression
Abstract
1 Introduction
2 Outlier Detection Methods
3 Simulation Study and Results
3.1 X-Space Regression Outlier
3.2 Y-Space Regression Outlier
3.3 X-and Y-Space Regression Outlier
4 Application on Real Data
5 Conclusion
Acknowledgements
References
29 A Modified Long Memory Model for Modeling Interminable Long Memory Process
Abstract
1 Introduction
2 Material and Methodology
2.1 The Dataset
2.2 Fractional Brownian Motion
2.3 White Noise Process
2.4 Fractionally Unit Root Integrated Process
2.5 Software
3 Analysis and Results
4 Conclusion
References
30 Application of Functional Data Analysis in Streamflow Hydrograph
Abstract
1 Introduction
2 Data and Methods
3 Results and Discussion
4 Conclusion
References
31 Bayesian Random Forest for the Classification of High-Dimensional mRNA Cancer Samples
Abstract
1 Introduction
2 Decision Trees and Random Forests
3 Bayesian Random Forests
4 Application to Cancer Datasets
5 Discussion and Conclusion
Funding
References
32 Bayesian Statistical Modeling: Comparisons Between Poisson and Its Zero-Inflated Regression Model
Abstract
1 Introduction
2 Bayesian Framework
3 Methodology
3.1 Poisson Regression Model
3.2 Zero-Inflated Poisson Regression Model
3.3 Markov Chain Monte Carlo (MCMC)
3.4 Model Comparison
4 Discussions
5 Conclusions
References
33 BayesRandomForest: An R Implementation of Bayesian Random Forest for Regression Analysis of High-Dimensional Data
Abstract
1 Introduction
2 Overview of Bayesian Random Forest
3 Priors and Posterior Specification for Bayesian Random Forest
4 Friedman Five Dimensional Data
5 Conclusion
6 Funding
References
34 Bivariate Weibull Exponential Model Based on Gaussian Copula
Abstract
1 Introduction
2 Bivariate Weibull Exponential Distribution Based on Gaussian Copula
3 Parameter Estimation
3.1 Parametric Methods of Estimation
3.1.1 Maximum Likelihood Estimation (ML)
3.1.2 Modified Maximum Likelihood Estimation (MML)
3.2 Semi-parametric Methods of Estimation
3.2.1 Methods-of-Moments
4 Goodness of Fit Tests for Copula
5 Simulation Data
References
35 Claim Assessment of a Rainfall Runoff Model with Bootstrap
Abstract
1 Introduction
2 Inferential Statistics of 1954 SCS Claim Reassessment
2.1 Assessment Methodology and Null Hypotheses
2.2 Inferential Statistics Assessment
2.3 Fitting Models Comparison and Residual Analyses Assessment
3 Results and Discussion
4 Conclusion
References
36 Comparing the Influences of Monetary Versus Fiscal Policy on the Economy: The Case of Malaysia
Abstract
1 Introduction
2 Literature Review
3 Data and Methodology
3.1 Types and Sources of Data
3.2 Modeling the Influences of Monetary and Fiscal Policy on Economy
4 Empirical Findings
5 Conclusions
References
37 Comparison Between k-Means and k-Medoids for Mixed Variables Clustering
Abstract
1 Introduction
2 Methodology
2.1 Clustering Algorithm
2.1.1 k-Means
2.1.2 k-Medoids
2.2 Internal Validation
2.3 Data Sets
3 Results and Discussion
References
38 Data Analysis Comparison Logit and Probit Regression Using Gibbs-Sampler
Abstract
1 Introduction
2 Gibbs Samlping in Binary Regression Models
2.1 Gibbs Sampling
2.2 Binary Regression Models
2.3 Data Analysis
3 Concluding Remark
References
39 Dirichlet-Multinomial Estimation of Small Area Proportions of Socio-Economic Classes
Abstract
1 Introduction
2 Data and Methodology
3 Results and Discussion
4 Conclusions and Recommendations
References
40 Efficiency of Fishery Production in Malaysia Using Data Envelopment Analysis
Abstract
1 Introduction
2 Methodology
3 Analysis of Efficiency Score for Fishery Production in Malaysia
4 Conclusion and Recommendation
Acknowledgements
References
41 Examining the PPP Theory for ASEAN-5 with Panel Data Analysis
Abstract
1 Introduction
2 Data and Methodology
2.1 Data
2.2 The Mean Group (MG) and the Pooled Mean Group (PMG) Estimators
3 Results and Discussion
4 Conclusion
References
42 Forecasting Trend-Seasonal Data Using Nonparametric Regression with Kernel and Fourier Series Approach
Abstract
1 Introduction
2 Literature Review
2.1 Kernel Estimator
2.2 Fourier Series Estimator
2.3 Comparison Measure
3 Data and Procedure
4 Result and Discussion
5 Conclusions
References
43 Hydrological Trend Analysis in Johor
Abstract
1 Introduction
2 Methodology
2.1 Study Area
2.2 Data Set
2.3 Trend Analysis
3 Results and Discussion
4 Conclusion
Acknowledgements
References
44 Implementing Correlation Dimension: K-Means Clustering via Correlation Dimension
Abstract
1 Introduction
2 K-Means Clustering Method
3 Correlation Dimension
4 Exploring Correlation Dimension via K-Means Method
5 Experimental Results
5.1 Spiral Data
5.2 Koch Curve Data
5.3 Forensic Glass Fragments Data
6 Conclusion and Discussion
References
45 Job Satisfaction Among Academic Staff: A Structural Equation Modeling Approach
Abstract
1 Introduction
2 Methodology
2.1 Population and Sample Size
2.2 Data Collection Method
2.3 Theoretical Framework
2.4 Method of Analysis
3 Analysis and Findings
3.1 Measurement Model
3.2 Structural Model
4 Conclusion
References
46 Machine Learning Using H2O R Package: An Application in Bioinformatics
Abstract
1 Introduction
2 Proposed Methods
2.1 Datasets
2.2 Molecular Fingerprints
2.3 Machine Learning Using H2O R Package
2.4 Performance Metrics
3 Results and Discussion
4 Conclusions
References
47 Modeling of Risk for Diabetes Mellitus and Hypertension Using Bi-response Probit Regression
Abstract
1 Introduction
2 Theoretical Estimation Model
3 Results and Discussion
References
48 On Bootstrapping Using Smoothed Bootstrap
Abstract
1 Introduction
2 Bootstrapping
2.1 Standard Bootstrap
2.2 Smoothed Bootstrap
3 Simulation Study
4 Conclusions
References
49 On the Markov Chain Monte Carlo Convergence Diagnostic of Bayesian Bernoulli Mixture Regression Model for Bidikmisi Scholarship Classification
Abstract
1 Introduction
2 Methodology
2.1 Bayesian Bernoulli Mixture Regression Model
2.2 Markov Chain Monte Carlo Convergence Diagnostics
2.3 Data and Model
3 Results
4 Conclusion
Acknowledgements
References
50 Road Fatalities Using Logistic Regression
Abstract
1 Introduction
2 Methodology
2.1 Source of Data
2.2 The Characteristics of Road Accidents in Seremban
2.3 Factors that Contributes to the Road Fatalities in Seremban
3 Results and Analysis
4 Conclusions
References
51 Robust Clustering on Spatial Torrential Rainfall Patterns
Abstract
1 Introduction
2 Data
3 Methods
3.1 Principal Component Analysis
3.2 Pearson Correlation
3.3 Tukey's Biweight Correlation
4 Results and Discussion
5 Conclusion
References
52 Robust Logistic Regression in Application to Divorce Data
Abstract
1 Introduction
2 Methodology
2.1 Maximum Likelihood Estimator
2.2 The Mallows-Type Estimator (MALLOWS)
2.3 The Conditionally Unbiased Bounded Influence Function Estimator (CUBIF)
2.4 The Bianco and Yohai Estimator (BY)
2.5 The Weighted Bianco and Yohai Estimator (WBY)
2.6 Measure of Performance
3 Application on Real Data
4 Conclusion
Acknowledgements
References
53 SMOTE Approach to Imbalanced Dataset in Logistic Regression Analysis
Abstract
1 Introduction
2 Data
3 Method
3.1 Sampling Strategies
3.2 Performance Measures
4 Results and Analysis
5 Conclusion and Discussion
References
54 Statistic for Outlier Detection in Circular Functional Relationship Model
Abstract
1 Introduction
2 Functional Relationship Model for Circular Variables
3 Definition of New Statistics for Outlier Detection
4 Results
5 Conclusion
References
55 Structural Breaks in Malaysian Shariah Compliant Indices
Abstract
1 Introduction
2 Methodology
2.1 Testing for Structural Breaks in Mean
2.2 Testing for Structural Breaks in Variance
2.2.1 Inclan and Tiao (1994) Iterative Cumulative Sum of Squares Statistic (IT-ICSS)
2.2.2 Sansó et al. (2004) Modified ICSS Algorithm
3 Results and Discussion
3.1 Descriptive Statistics
3.2 Testing for Structural Breaks in Mean
3.3 Testing for Structural Breaks in Variance
4 Conclusion
Acknowledgements
References
56 Teenage Driving Behavior Modeling Using Deep Learning for Driver Behavior Classification
Abstract
1 Introduction
2 Methodology
2.1 Deep Learning (DL) Architecture
3 Results and Discussion
4 Conclusion
References
57 Temporal Patterns Analysis of Paddy Production in Sri Lanka
Abstract
1 Introduction
1.1 Background of the Study
1.2 Rice Cultivation in Sri Lanka
2 Literature Review
3 Methods
3.1 Seasonal Autoregressive Integrated Moving Average (SARIMA) Model
3.2 Vector Error Correction (VEC) Model
4 Results and Discussion
4.1 Descriptive Analysis
4.2 Further Analysis
5 Conclusions and Drawbacks
References
58 The Effects of Awareness Level on Littering Behaviour on Campus: Family Income as Moderator
Abstract
1 Introduction
2 Literature Review
3 Methodology
4 Findings and Discussions
5 Conclusions and Recommendations
References
59 The Trends of Age and Gender Specific Mortality Rates by Ethnic Groups
Abstract
1 Introduction
2 Methods
3 Result and Discussion
3.1 The Mortality Rates of Ethnic Groups by Gender
3.2 The Mortality Rates of Ethnic Groups by Age
4 Conclusion
References
Application
60 A Markov Chain Model for Diabetes Mellitus Patients
Abstract
1 Introduction
2 Methodology
2.1 Dataset and Description
2.2 Method of Analysis
3 Analysis and Results
4 Conclusion
References
61 A New Method to Forecast TAIEX Based on Fuzzy Time Series with Trapezoidal Fuzzy Numbers and Center of Gravity Similarity Measure Approach
Abstract
1 Introduction
2 A New Method for Forecasting the TAIEX Based on FTS with TrFNs and COG Similarity Measure Approach
3 Numerical Example
4 Discussion
5 Conclusion
Acknowledgements
References
62 A Proposed Conceptual of Derivative Games Based Learning
Abstract
1 Introduction
2 Digital Game-Based Learning (DGBL)
3 Implementation of DGBL and Its Effect
4 Previous Studies of DGBL in Mathematics
5 Pedagogy and DGBL
5.1 DGBL Element
5.2 ARCS Model
6 Conclusion
Acknowledgements
References
63 AHP Ranking of CSR Human Resource Theme of Takaful Operators
Abstract
1 Introduction
2 Methodological Approach
3 Results
4 Conclusion
Acknowledgements
References
64 Assessing Malaysian Teachers' Perception on Computational Thinking Concepts Using SEM
Abstract
1 Introduction
2 Background of Study
2.1 Malaysian Computing Scenario and CT
2.2 Technological Acceptance Model (TAM) and Structural Equation Modelling (SEM)
3 Research Framework and Methodology
4 Result
5 Discussion and Conclusion
References
65 Chaotic Stochastic Lee-Carter Model in Predicting Kijang Emas Price Movements: A Machine Learning Approach
Abstract
1 Introduction to Chaos Theory
2 Stochastic Lee-Carter Model in Predicting Gold Price
3 Chaos in Gold Market
4 Methodology
4.1 Data Collection
4.2 The Largest Lyapunov Exponent
4.3 The Lee-Carter Model
5 Results
5.1 The Largest Lyapunov Exponent
5.2 The Fitting of Lee-Carter Model
5.3 Prediction Accuracy
6 Conclusions and Recommendation
Acknowledgements
References
66 Efficiency of General Takaful Industry in Malaysia: A Two-Stage Data Envelopment Analysis
Abstract
1 Introduction
2 Literature Review
3 Data and Methodology
4 Results and Discussions
5 Conclusions
Acknowledgements
References
67 Enhancement of DNA Gel Images
Abstract
1 Introduction
2 Literature Review
3 Methodology
4 Finding and Discussion
5 Conclusion
References
68 Factors Affecting Entrepreneurial Intention Among IKN Students
Abstract
1 Introduction
2 Methodology
2.1 Reliability Analysis
2.2 Descriptive Statistics
2.3 Multiple Linear Regression
3 Analysis and Results
3.1 Reliability Test
3.2 Descriptive Statistics
3.3 Multiple Linear Regression
4 Conclusions
References
69 Improving the Food Manufacturing System by Using Simulation and DEA
Abstract
1 Introduction
2 Materials and Methods
3 Experimental Result
4 Conclusions
Acknowledgements
References
70 Modelling Multi-dimensional Contingency Tables: LASSO and Stepwise Algorithms
Abstract
1 Introduction
2 Methodology
2.1 Contingency Table
2.2 Log-Linear Models
2.3 Hierarchical Models
2.4 Maximum Likelihood Estimation (MLE)
2.5 Lasso
2.6 Cross-Validation
2.7 Stepwise Algorithms
3 Results
4 Conclusion and Discussion
References
71 Microwave Tomography: A Numerical Study of Solving Linear Equations in the Non-linear Inverse Scattering Problem
Abstract
1 Introduction
2 Imaging Algorithm
2.1 Forward Problem
2.2 Inverse Problems
2.3 Solving Linear Equations Techniques
3 Simulation Model and Results
4 Conclusion
References
72 Multimedia Learning Tools for Autism Children
Abstract
1 Introduction
2 Overview of Autism
2.1 Categories and Symptoms of Autism
2.2 Learning Disabilities Among Autistic Children
2.3 Features of Multimedia Courseware Suitable for Autistic Children
3 Research Methodology
4 Findings and Discussion
5 Conclusion
References
73 Relapse Cases Among Drug Addicts Using Logistic Regression Modeling
Abstract
1 Introduction
2 Methodology
3 Result and Discussion
4 Conclusion
References
74 The Influence of Fixed Rhythm Auditory Icon on Food Intake Mimicry
Abstract
1 Introduction
2 Methodology
3 Findings and Discussions
4 Conclusions
References

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