Handbook of Research on Computational Simulation and Modeling in Engineering
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Multiple disciplines depend on computer programs and software to predict project challenges, outcomes, and solutions. Through the use of virtual prototyping, researchers and professionals are better able to analyze data and improve projects without direct experimentation, which can be costly or dangerous. The Handbook of Research on Computational Simulation and Modeling in Engineering is an authoritative reference source on the computer models and technologies necessary to enhance engineering structures and planning for real-world applications. This publication is an essential resource for academicians, researchers, advanced-level students, technology developers, and engineers interested in the advancements taking place at the intersection of computer technology and the physical sciences. This publication features chapters on the advanced technologies developed within the field of engineering including prediction tools, software programs, algorithms, and theoretical and computational models. Title Page Copyright Page Book Series Editorial Advisory Board and List of Reviewers List of Contributors Table of Contents Detailed Table of Contents Preface Acknowledgment Section 1: Intelligent Systems and Control Engineering Chapter 1: Computational Modelling and Simulation to Assist the Improvement of Thermal Performance and Energy Efficiency in Industrial Engineering Systems Chapter 2: Different Approaches for Studying Interruptible Industrial Processes Chapter 3: Energy Conservation Law for the Turbulent Motion in the Free Atmosphere Chapter 4: Multi-Objective Optimization of Two-Stage Thermo-Electric Cooler Using Differential Evolution Chapter 5: On Simulation Performance of Feedforward and NARX Networks Under Different Numerical Training Algorithms Chapter 6: On the Use of Stochastic Activity Networks for an Energy-Aware Simulation of Automatic Weather Stations Chapter 7: Reliability Analysis of Slope Using MPMR, GRNN and GPR Chapter 8: Simulation and Modeling Section 2: Software and Computer Engineering Chapter 9: Characterising Enterprise Application Integration Solutions as Discrete-Event Systems Chapter 10: Comparison of Methods to Display Principal Component Analysis, Focusing on Biplots and the Selection of Biplot Axes Chapter 11: Educational Software Based on Matlab GUIs for Neural Networks Courses Chapter 12: Human Motion Analysis and Simulation Tools Chapter 13: Methods for Assessing Still Image Compression Efficiency Chapter 14: Software Design Section 3: Civil and Environment Engineering Chapter 15: Numerical Modeling of RC Bridges for Seismic Risk Analysis Chapter 16: Simulation Based Construction Project Schedule Optimization Chapter 17: Stochastic Drought Forecasting Exploration for Water Resources Management in the Upper Tana River Basin, Kenya Chapter 18: Structural Non-Linear Models and Simulation Techniques Section 4: Electronic and Opto-Electronic Engineering Chapter 19: Modeling for Self-Optimization in Laser Cutting Chapter 20: Sensitivity Analysis of Laser Cutting Based on Metamodeling Approach Chapter 21: Simulations and Modeling of TFET for Low Power Design Chapter 22: Using Theoretical and Computational Models to Understand How Metals Function as Temperature Sensors Section 5: Communication Networks and Systems Engineering Chapter 23: Quality of Service and Radio Management in Biomedical Wireless Sensor Networks Chapter 24: Reducing Simulation Runtime in Wireless Sensor Networks Compilation of References About the Contributors Index
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