Advances in Engineering Research. Volume 11

Victoria M. Petrova (Editor)

Series: Advances in Engineering Research
BISAC: TEC009000

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$230.00

Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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This book focuses on the latest developments in the field of engineering. The first chapter presents a state-of-the-art review on the potential issues to be solved in the design, manufacture and maintenance of the full ocean depth manned cabin. Only in the past 100 years, has the technological capability matched the human desire to deep dive into the ocean and discover its true mysteries. The authors of the second chapter focus on a different type of engineering and proposes a design method of observers used in induction motor systems by utilizing non-singular terminal sliding-mode control.

The third chapter is focused on styrene, a high value chemical widely used as feedstock for the commercial manufacture of a large variety of polymers, synthetic rubbers and polymeric resins. The poorest-vanadium catalyst is the most promising for producing styrene without steam, being the most active and selective to styrene. Chapter Four presents a straightforward compromising methodology of dynamic economic and emission active-reactive optimal power flow (AROPF). The remaining chapters of this book provide a review and discussion along with practical guidelines on the application of metamodels in real-world optimization problems; a framework which employs multiple metamodels concurrently, thereby benefiting from the different approximations; a metamodel-assisted framework which adds a dimensionality-reduction component based on variable selection; a new, simple and efficient method for modifying motor fuel through the dynamic cavitation of motor fuel with hydrogen peroxide using a dynamic cavitation reactor; and a discussion on the principles of different Ensemble Methods (EMs) (bagging, boosting, random subspaces, combined approach) by illustrating their applications in the field of feature selection for linear regression.

(Imprint: Nova)

Preface

Chapter 1
Issues to be Solved in the Design, Manufacture and Maintenance of a Full Ocean Depth Manned Cabin
(Weicheng Cui, Fang Wang, Binbin Pan, Yong Hu and Qinghai Du, Hadal Science and Technology Research Center (Shanghai Engineering Research Center of Hadal Scicence and Technology), Shanghai Ocean University, Shanghai, China)

Chapter 2
Chattering-Free Sliding-Mode Observers for Induction Motor Systems
(Yong Feng, Minghao Zhou, Fengling Han, Department of Electrical Engineering, Harbin Institute of Technology, Harbin, China, and others)

Chapter 3
Ethylbenzene Dehydrogenation Over Alumina-Supported Vanadia in the Absence of Steam
(Maria do Carmo Rangel, Sirlene Barbosa Lima and Rosenira Serpa da Cruz, GECCAT Grupo de Estudo em Cinética e Catálise. Instituto de Química. Universidade Federal da Bahia. Campus Universitário de Ondina, Federação, 40 170-290, Salvador, Bahia, Brazil, and others)

Chapter 4
An Unequivocal Normalization-Based Paradigm to Solve Multi-Objective Optimization Problems— An Engineering Application
(Mahdi Pourakbari Kasmaei, Marcos J. Rider and Jose R. S. Mantovani, Department of Electrical Engineering, State University of Sao Paulo (UNESP), Ilha Solteira, Brazil)

Chapter 5
Metamodels in Engineering Optimization
(Yoel Tenne, Ariel University, Ariel, Israel)

Chapter 6
Computational Intelligence based Frameworks for Engineering Optimization
(Yoel Tenne, Ariel University, Ariel, Israel)

Chapter 7
Recent Progress in Simulation-Driven Optimization
(Yoel Tenne, Ariel University, Ariel, Israel)

Chapter 8
A New Method for Improving the Quality of Gasoline
(A. B. Tselisсhev, A. A. Ijagbuji, M. G. Loriya
Technological Institute of Vladimir Dahl East Ukrainian National University, Severodonetsk, Ukraine)

Chapter 9
Introduction to Ensemble Methods for Predictive Variables Selection in Multiple Linear Regression
(Asma Hammami-Semmar and Nabil Semmar, Institut National des Sciences Appliquées et Technologies (INSAT), Tunis, Tunisia, and others)

Index

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