Transactions on engineering technologies: World Congress on Engineering and Computer Science 2015

Description

This proceedings volume contains selected revised and extended research articles written by researchers who participated in the World Congress on Engineering and Computer Science 2015, held in San Francisco, USA, 21-23 October 2015. Topics covered include engineering mathematics, electrical engineering, circuits, communications systems, computer science, chemical engineering, systems engineering, manufacturing engineering, and industrial applications. The book offers the reader an overview of the state of the art in engineering technologies, computer science, systems engineering and applications, and will serve as an excellent reference work for researchers and graduate students working in these fields.;3 MOESP_AOKI_VAR: Algorithm for Space State Identification of Non-stationary Multivariable Noisy Linear Systems3.1 Introduction; 3.2 Foundation; 3.2.1 Stationary Deterministic Linear System; 3.2.2 Stationary Noisy Linear System; 3.2.3 Non-stationary Deterministic Linear System; 3.2.4 Non-stationary Noisy Linear System; 3.2.5 Time Variant Identification; 3.2.6 Deterministic-Stochastic Modelling of the State Space of Non-stationary System; 3.3 MOESP_AOKI_VAR Algorithm; 3.4 Experimentation and Results; 3.5 Conclusions; References; 4 Comparative the Performance of Control Charts Based on Copulas.;2 Analysis of Systemic Risk: A Dynamic Vine Copula-Based ARMA-EGARCH Model2.1 Introduction; 2.2 Methodology; 2.2.1 Risk Methodology; 2.2.2 Univariate ARMA-EGARCH Model; 2.2.3 Sklar's Theory; 2.2.4 Parametric Copulas; 2.2.5 Vine Copulas; 2.2.6 Tail Dependence; 2.2.7 Estimation Method; 2.3 Data and Empirical Findings; 2.3.1 Data Representation; 2.3.2 Results for the Marginal Models; 2.3.3 Results for the Copula Models; 2.3.4 Results for the Copula VaR and Copula VaR Ratio; 2.4 Conclusion; References.;Preface; Contents; 1 Estimate the Impact of Different Heat Capacity Approximation Methods on the Numerical Results During Computer Simulation of Solidification; 1.1 Introduction; 1.2 Description of the Entalphy Formulation; 1.2.1 The Enthalpy and the Effective Heat Capacity; 1.2.2 The Types of the Entalphy Formulations; 1.3 Approximation of the Effective Heat Capacity; 1.4 Numerical Model of Solidification; 1.5 Used Software of Engineering Simulation; 1.6 Results of the Numerical Experiment; 1.7 Conclusions; References.;5.3.2 Risk Indicators of Landslides5.3.3 Fuzzy Decision Model for Landslide Hazard Assessment; 5.3.3.1 Fuzzification of the Input Variables; 5.3.3.2 Rule Evaluation; 5.3.3.3 Aggregation of the Output Rules; 5.3.3.4 Defuzzification; 5.3.4 Geographic Information System for Landslide Hazard Mapping; 5.4 Results and Discussion; 5.5 Conclusion; 5.6 Recommendation; Acknowledgements; References; 6 Laser Scanning as a Tool for the Analysis of Historical Buildings; 6.1 Introduction; 6.2 2D Documentation; 6.3 Types of 3D Scanners.;4.1 Introduction4.2 Research Methodology; 4.2.1 Multivariate Exponentially Weighted Moving Average Control Chart; 4.2.2 Double Multivariate Exponentially Weighted Moving Average Control Chart; 4.2.3 Multivariate Cumulative Sum Control Chart; 4.2.4 Copulas Concepts; 4.2.4.1 Normal Copula; 4.2.4.2 Archimedean Copulas; 4.2.5 Dependence and Kendall's tau; 4.3 Numerical Results; 4.4 Conclusion and Future Work; Acknowledgments; References; 5 Mamdani Fuzzy Decision Model for GIS-Based Landslide Hazard Mapping; 5.1 Introduction; 5.2 Theoretical Framework; 5.3 Methods; 5.3.1 Study Area. Preface Contents 1 Estimate the Impact of Different Heat Capacity Approximation Methods on the Numerical Results During Computer Simulation of Solidification 1.1 Introduction 1.2 Description of the Entalphy Formulation 1.2.1 The Enthalpy and the Effective Heat Capacity 1.2.2 The Types of the Entalphy Formulations 1.3 Approximation of the Effective Heat Capacity 1.4 Numerical Model of Solidification 1.5 Used Software of Engineering Simulation 1.6 Results of the Numerical Experiment 1.7 Conclusions References. 2 Analysis of Systemic Risk: A Dynamic Vine Copula-Based ARMA-EGARCH Model2.1 Introduction 2.2 Methodology 2.2.1 Risk Methodology 2.2.2 Univariate ARMA-EGARCH Model 2.2.3 Sklar's Theory 2.2.4 Parametric Copulas 2.2.5 Vine Copulas 2.2.6 Tail Dependence 2.2.7 Estimation Method 2.3 Data and Empirical Findings 2.3.1 Data Representation 2.3.2 Results for the Marginal Models 2.3.3 Results for the Copula Models 2.3.4 Results for the Copula VaR and Copula VaR Ratio 2.4 Conclusion References. 3 MOESP_AOKI_VAR: Algorithm for Space State Identification of Non-stationary Multivariable Noisy Linear Systems3.1 Introduction 3.2 Foundation 3.2.1 Stationary Deterministic Linear System 3.2.2 Stationary Noisy Linear System 3.2.3 Non-stationary Deterministic Linear System 3.2.4 Non-stationary Noisy Linear System 3.2.5 Time Variant Identification 3.2.6 Deterministic-Stochastic Modelling of the State Space of Non-stationary System 3.3 MOESP_AOKI_VAR Algorithm 3.4 Experimentation and Results 3.5 Conclusions References 4 Comparative the Performance of Control Charts Based on Copulas. 4.1 Introduction4.2 Research Methodology 4.2.1 Multivariate Exponentially Weighted Moving Average Control Chart 4.2.2 Double Multivariate Exponentially Weighted Moving Average Control Chart 4.2.3 Multivariate Cumulative Sum Control Chart 4.2.4 Copulas Concepts 4.2.4.1 Normal Copula 4.2.4.2 Archimedean Copulas 4.2.5 Dependence and Kendall's tau 4.3 Numerical Results 4.4 Conclusion and Future Work Acknowledgments References 5 Mamdani Fuzzy Decision Model for GIS-Based Landslide Hazard Mapping 5.1 Introduction 5.2 Theoretical Framework 5.3 Methods 5.3.1 Study Area. 5.3.2 Risk Indicators of Landslides5.3.3 Fuzzy Decision Model for Landslide Hazard Assessment 5.3.3.1 Fuzzification of the Input Variables 5.3.3.2 Rule Evaluation 5.3.3.3 Aggregation of the Output Rules 5.3.3.4 Defuzzification 5.3.4 Geographic Information System for Landslide Hazard Mapping 5.4 Results and Discussion 5.5 Conclusion 5.6 Recommendation Acknowledgements References 6 Laser Scanning as a Tool for the Analysis of Historical Buildings 6.1 Introduction 6.2 2D Documentation 6.3 Types of 3D Scanners.