Mohamed Cherkaoui's Books

Essay on Islamization

Changes in Religious Practice in Muslim Societies

By: Mohamed Cherkaoui

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Essay on Islamization

Changes in Religious Practice in Muslim Societies

By: Mohamed Cherkaoui

Essay on Islamization is a study of the Islamization of all Muslim societies, their conversion to orthodox Islam which, with its chapels, soldier monks and holy war, leads to fundamentalism as well as to a moral puritanism. Cherkaoui gauges the importance of this global phenomenon by analyzing the empirical data of some sixty Muslim and non-Muslim societies. He also conducts two ethnographic surveys to identify the metamorphoses of Muslim religious practices and their causes. Among the dozen theories put forward to explain these planetary phenomena, he cites those of secularization, modernization, the religious market, the influence of the media and the policy of donors of unlimited financial resources, social mobility, geopolitical causes, the emergence of fundamentalism and the role of "proletarian" intellectuals who promote Messianism, and social pressure.

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Page Count

272

Publisher

BRILL

Published Date

ISBN 10

9004415033

ISBN 13

9789004415034

Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems

An Optimal Integration Of Renewable Energy Resources Into Grid

By: Moussa Labbadi,Kamal Elyaalaoui,Loubna Bousselamti,Mohammed Ouassaid,Mohamed Cherkaoui

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Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems

An Optimal Integration Of Renewable Energy Resources Into Grid

By: Moussa Labbadi,Kamal Elyaalaoui,Loubna Bousselamti,Mohammed Ouassaid,Mohamed Cherkaoui

This book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewable energy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering.

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Page Count

244

Publisher

Springer Nature

Published Date

ISBN 10

303098737X

ISBN 13

9783030987374

Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle

Roadmap to Improve Tracking-Trajectory Performance in the Presence of External Disturbances

By: Moussa Labbadi,Yassine Boukal,Mohamed Cherkaoui

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Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle

Roadmap to Improve Tracking-Trajectory Performance in the Presence of External Disturbances

By: Moussa Labbadi,Yassine Boukal,Mohamed Cherkaoui

This book studies selected advanced flight control schemes for an uncertain quadrotor unmanned aerial vehicle (UAV) systems in the presence of constant external disturbances, parametric uncertainties, measurement noise, time-varying external disturbances, and random external disturbances. Furthermore, in all the control techniques proposed in this book, it includes the simulation results with comparison to other nonlinear control schemes recently developed for the tracking control of a quadrotor UAV. The main contributions of the present book for quadrotor UAV systems are as follows: (i) the proposed control methods are based on the high-order sliding mode controller (SMC) and hybrid control algorithm with an optimization method. (ii) the finite-time control schemes are developed by using fast terminal SMC (FTSMC), nonsingular FTSMC (NFTSMC), global time-varying SMC, and adaptive laws. (iii) the fractional-order flight control schemes are developed by using the fractional-order calculus theory, super twisting algorithm, NFTSMC, and the SMC. This book covers the research history and importance of quadrotor system subject to system uncertainties, external wind disturbances, and noise measurements, as well as the research status of advanced flight control methods, adaptive flight control methods, and flight control based on fractional-order theory. The book would be interesting to most academic undergraduate, postgraduates, researchers on flight control for drones and applications of advanced controllers in engineering field. This book presents a must-survey for advanced finite-time control for quadrotor system. Some parts of this book have the potential of becoming the courses for the modelling and control of autonomous flying machines. Readers (academic researcher, undergraduate student, postgraduate student, MBA/executive, and education practitioner) interested in nonlinear control methods find this book an investigation. This book can be used as a good reference for the academic research on the control theory, drones, terminal sliding mode control, and related to this or used in Ph.D. study of control theory and their application in field engineering.

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Page Count

263

Publisher

Springer Nature

Published Date

ISBN 10

3030810143

ISBN 13

9783030810146

Deep Learning-Powered Technologies

Autonomous Driving, Artificial Intelligence of Things (AIoT), Augmented Reality, 5G Communications and Beyond

By: Khaled Salah Mohamed

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Deep Learning-Powered Technologies

Autonomous Driving, Artificial Intelligence of Things (AIoT), Augmented Reality, 5G Communications and Beyond

By: Khaled Salah Mohamed

This book covers various, leading-edge deep learning technologies. The author discusses new applications of deep learning and gives insight into the integration of deep learning with various application domains, such as autonomous driving, augmented reality, AIOT, 5G and beyond.

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Page Count

216

Publisher

Springer Nature

Published Date

ISBN 10

303135737X

ISBN 13

9783031357374

A New Era for Microbial Corrosion Mitigation Using Nanotechnology

Biocorrosion and Nanotechnology

By: Basma A. Omran,Mohamed Omar Abdel-Salam

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A New Era for Microbial Corrosion Mitigation Using Nanotechnology

Biocorrosion and Nanotechnology

By: Basma A. Omran,Mohamed Omar Abdel-Salam

This book focuses on corrosion and microbial corrosion, providing solutions for these problems based on nanotechnology and nanobiotechnology. It introduces the causes, consequences, cost and control of corrosion processes. It gives a particular emphasis on microbial corrosion of steel and other metals in oil, gas and shipping industries. The book presents the materials vulnerable to such kind of corrosion, and the use of nanomaterials to control it.

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Page Count

215

Publisher

Springer Nature

Published Date

ISBN 10

3030495329

ISBN 13

9783030495329

Modern Optimization Techniques for Smart Grids

By: Adel Ali Abou El-Ela,Mohamed T. Mouwafi,Adel A. Elbaset

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Modern Optimization Techniques for Smart Grids

By: Adel Ali Abou El-Ela,Mohamed T. Mouwafi,Adel A. Elbaset

Modern Optimization Techniques for Smart Grids presents current research and methods for monitoring transmission systems and enhancing distribution system performance using optimization techniques considering the role of different single and multi-objective functions. The authors present in-depth information on integrated systems for smart transmission and distribution, including using smart meters such as phasor measurement units (PMUs), enhancing distribution system performance using the optimal placement of distributed generations (DGs) and/or capacitor banks, and optimal capacitor placement for power loss reduction and voltage profile improvement. The book will be a valuable reference for researchers, students, and engineers working in electrical power engineering and renewable energy systems. Predicts future development of hybrid power systems; Introduces enhanced optimization strategies; Includes MATLAB M-file codes.

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