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