Fuzzy logic is enjoying an unprecedented popularity – and for excellent reasons. It has moved successfully beyond the technological and engineering fields into areas as diverse as consumer and electronic products and systems, the stock market, and medical diagnostics.
Piezocone and cone penetration tests (CPTu and CPT) applications in foundation engineering includes different approaches for determining the bearing capacity of shallow foundations, along with methods for determining pile bearing capacity and settlement concepts. The use of soft computing (GMDH) neural networks related to CPT records and Geotechnical parameters are also discussed. In addition, different cases regarding the behavior of foundation performance using case records, such as shallow foundation, deep soil improvement, soil behavior classification (SBC), and bearing capacity are also included. - Provides the latest on CPT and CPTu performance in geotechnical engineering, i.e., bearing capacity, settlement, liquefaction, soil classification and shear strength prediction - Introduces soft computing methods for processing soil properties and pile bearing capacity via CPT and CPTu - Explains CPT and CPTu testing methods which allows for the continuous, or virtually continuous, record of ground conditions
The Iranian Constitutional Revolution was the twentieth century’s first such political movement in the Middle East. It represented a landmark in Iranian history because of the unlikely support it received from Shi‘ite clerics who historically viewed Western concepts with suspicion, some claiming constitutionalism to be anti-Islamic. Leading the support was Muhammad Kazim Khurasani, the renowned Shi‘ite jurist who conceived of a supporting role for the clergy in a modern Iranian political system. Drawing on extensive analysis of religious texts, fatwas, and articles written by Khurasani an other pro- and anti-constitutionalists, Farzaneh provides a comprehensive and illuminating interpretation of Khurasani’s religious pragmatism. Despite some opposition from his peers, Khurasani used a form of jurisprudential reasoning when creating shari‘a that was based on human intellect to justify his support of not only the Iranian parliament but also the political powers of clerics. He had a reputation across the Shi‘ite community as a masterful religious scholar, a skillful teacher, and a committed humanitarian who heeded the people’s socioeconomic and political grievances and took action to address them. Khurasani’s push for progressive reforms helped to inaugurate a new era of clerical involvement in constitutionalism in the Middle East.
Of interest to both academics and practitioners who assist in making Shariah-centric strategies, this work is particularly important as Asia holds a major percentage of Islamic assets in South Asia, Southeast Asia, and the Middle East, with new opportunities opening in Central Asia.
The combination of DEA and ratio analysis is introduced as a suitable field for evaluating the performance of DMUs. In this regard, DEA-R is also proposed as a hybrid technique for calculating efficiency, ranking DMUs, and finding efficient faces. Therefore, the relationship between DEA and DEA-R provides a suitable field for researchers in the field of evaluating the performance of DMUs. The audience of this book is not limited to researchers in mathematics fields, but experts and students in industrial engineering and management fields also benefit from the topics of this book.
This textbook provides students, researchers, and engineers in the area of electrical engineering with advanced mathematical optimization methods. Presented in a readable format, this book highlights fundamental concepts of advanced optimization used in electrical engineering. Chapters provide a collection that ranges from simple yet important concepts such as unconstrained optimization to highly advanced topics such as linear matrix inequalities and artificial intelligence-based optimization methodologies. The reader is motivated to engage with the content via numerous application examples of optimization in the area of electrical engineering. The book begins with an extended review of linear algebra that is a prerequisite to mathematical optimization. It then precedes with unconstrained optimization, convex programming, duality, linear matrix inequality, and intelligent optimization methods. This book can be used as the main text in courses such as Engineering Optimization, Convex Engineering Optimization, Advanced Engineering Mathematics and Robust Optimization and will be useful for practicing design engineers in electrical engineering fields. Author provided cases studies and worked examples are included for student and instructor use.
This book highlights the most efficient and latest ways to deal with cancer, focusing on IONPs. The book describes some well-designed surface modifications performed through several functional materials over the surface of IONPs, which results in the development of multifunctional IONPs-based delivery nanoplatforms by enhancing solubility, stability, and avoiding side effects on healthy cells. Several types of stimuli-responsive IONPs-based strategies are also discussed. Owing to magnetic, structural, and thermal properties, IONPs themselves can be utilized for magnetic targeting, magnetic hyperthermia, and phototherapy. Significant advancements are presented in IONPs-based immunotherapy, radiotherapy, and sonodynamic therapy for the efficient treatment of cancer. Finally, the book presents RIONs which serve as the parent platform for the development of powerful DMCAs utilized in SPECT/MRI and PET/MRI applications.
This Brief offers a comprehensive study covering the different aspects of gas allocation optimization in petroleum engineering. It contains different methods of defining the fitness function, dealing with constraints and selecting the optimizer; in each chapter a detailed literature review is included which covers older and important studies as well as recent publications. This book will be of use for production engineers and students interested in gas lift optimization.
This book reviews and presents several approaches to advanced decision-making models for safety and risk assessment. Each introduced model provides case studies indicating a high level of efficiency, robustness, and applicability, which allow readers to utilize them in their understudy risk-based assessment applications. The book begins by introducing a novel dynamic DEMATEL for improving safety management systems. It then progresses logically, dedicating a chapter to each approach, including advanced FMEA with probabilistic linguistic preference relations, Bayesian Network approach and interval type-2 fuzzy set, advanced TOPSIS with spherical fuzzy set, and advanced BWM with neutrosophic fuzzy set and evidence theory. This book will be of interest to professionals and researchers working in the field of system safety and reliability and postgraduate and undergraduate students studying applications of decision-making tools and expert systems.
Provides detailed information about the use of nanotechnology in remediating waste and pollution in agriculture Nano-Technological Intervention in Agricultural Productivity explores sustainable, eco-friendly technologies for remediating wastes and contaminated areas in both water and land ecosystems. Focusing on nano-technological innovations that use microbes and microbial agents to improve the quality and pollutant discharge of contaminated sites, this comprehensive volume also discusses molecular approaches for the characterization of nanoparticles, the biosynthetic pathways of microbes, gene and protein expression studies for bio-deterioration techniques, and more. Organized into nine chapters, the book opens with a thorough overview of the functions, classification, properties, synthesis, and applications of nanoparticles. Following a discussion of the environmental and agricultural implications of nanotechnology, the authors examine the current role and future prospects of nanotechnology in managing plant diseases, improving agri-food production, and increasing agricultural productivity. Subsequent chapters cover lignin nanoparticles, various applications of nanotechnology in agriculture, and nano-based advances in plant and microbial science. Offering an up-to-date account of the role of nanotechnologies in agricultural bioremediation, this book: Explores biotechnological advances in the development of sophisticated green technologies for waste minimization and waste control Emphasizes the use of microbes for degradation and removal of various xenobiotic substances Discusses bioremediation approaches in relation to the impact of increased urbanization and industrialization on the environment Covers a variety of applications of nanotechnology in agriculture, including nano-fertilizers, nano-biosensors, nano-pesticides, and nanoparticle protection in plants Nano-Technological Intervention in Agricultural Productivity is a valuable resource for students in plant biotechnology and agricultural science and engineering, as well as an important reference for researchers in plant biotechnology and agricultural sciences, particularly those with interest in the use of nanomaterials for pollution remediation and sustainable development.
Contemporary psychology is highly influenced by positivism and scientific naturalism. Psychological studies make efforts to control the variables and provide operational definitions of subjective constructs in order to reach the most concrete conclusions. Such efforts are admirable in natural sciences since they have led to a better life. But, this worldview has deprived contemporary psychology of more qualitative sources of knowledge like waḥy (revelation). The present book introduces Islamic psychology as a paradigm, which can apply waḥy knowledge and consider religious/spiritual dimensions of humans in scientific exploration. The first part discusses the possibility, foundations, and characteristics of Islamic psychology. The second part introduces research methodology in Islamic psychology. The third part reviews the Quranic theory of personality and highlights the concept of shakeleh. Finally, the fourth part presents the theories and methods of religious psychotherapy in the Islamic tradition. Each part provides introductory content for readers interested in Islamic psychology.
Mixed-matrix membranes are identified as a new type of membranes being more efficient due to the inorganic particles in their structure. In industry they can be a good substitute for old methods which consume a lot of energy. Thus, the present research scrutinizes different filling particles used in this group of membranes, applications, shortcomings and the challenges of producing these types of membranes. This book explains the key parameters in the fabrication methods through blending of polymeric and non-polymeric materials containing different components in their chemical structures. It is a complete overview of all relevant and similar references in the field of membrane technology in oil, gas and petrochemicals, by considering standards and the way of performing separation techniques and implementing projects.
Stochastic Modeling: A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software allows for new avenues in time series analysis and predictive modeling which summarize more than ten years of experience in the application of stochastic models in environmental problems. The book introduces a variety of different topics in time series in the modeling and prediction of complex environmental systems. Most importantly, all codes are user-friendly and readers will be able to use them for their cases. Users who may not be familiar with MATLAB software can also refer to the appendix. This book also guides the reader step-by-step to learn developed codes for time series modeling, provides required toolboxes, explains concepts, and applies different tools for different types of environmental time series problems. - Provides video tutorials on the use of codes - Includes a companion site with 3,000 lines of programming, 70 principal codes and 100 pseudo codes - Highlights multiple methods to Illustrate each problem
This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The models of the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations. Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers. Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation. The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world. The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars.
Theoretical Concepts of Photocatalysis offers a systematic overview of photocatalysis while also exploring the theory and experimental studies of charge carrier dynamics. Introducing the fundamental concepts of photocatalytic reactions involving different types of photocatalysts for various applications, including the treatment of water and air, in food packaging, and in the biomedical and medical fields, the book shows different classes of photocatalysts for novel energy and environmental related applications. In addition, significant advantages, such as its low cost, high efficiency, harmlessness and stability are discussed alongside future perspectives and challenges related to photocatalysis. Focusing on nanostructure control, synthesis methods, activity enhancement strategies, environmental applications, and perspectives of semiconductor-based nanostructures, this book offers guidelines for designing new semiconductor-based photocatalysts with low cost and high efficiency to meet the demands of the efficient utilization of solar energy in the area of energy production and environment remediation. - Covers the different types of photocatalysts and related photocatalytic reactions - Offers theoretical and practical concepts of energy and environmental applications - Summarizes the fundamentals of semiconductor-based nanomaterials
In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust control systems. After laying a foundation in the basics of GAs and genetic programming, it demonstrates the power of these new tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also explores the application of hybrid approaches: how to enhance genetic algorithms and programming with fuzzy logic to design intelligent control systems. The authors consider a variety of applications, such as the optimal control of robotic manipulators, flexible links and jet engines, and illustrate a multi-objective, genetic algorithm approach to the design of robust controllers with a gasification plant case study. The authors are all masters in the field and clearly show the effectiveness of GA techniques. Their presentation is your first opportunity to fully explore this cutting-edge approach to robust optimal control system design and exploit its methods for your own applications.
Fuzzy logic is enjoying an unprecedented popularity – and for excellent reasons. It has moved successfully beyond the technological and engineering fields into areas as diverse as consumer and electronic products and systems, the stock market, and medical diagnostics.
Time-delay systems arise when information or material transmission delay occurs, for example in transportation, communications, chemical processing, metallurgical processing, environmental systems or power systems. Time delays in the systems are either due to inherent component delays or due to deliberate delays introduced for control purposes. Considerable research has been done on various aspects of these systems in the last twenty-five years. However, unlike linear nondelay systems on which a host of books have been published, very few books exist on time-delay systems, and those that do are often very theoretical. This book fulfils a need by covering the techniques of analysis and design of time-delay systems without dwelling on mathematical rigor - though to make the book self-sufficient, the required mathematical background is provided in the appendices. The book covers classical as well as modern control approaches, and discrete-time as well as continuous-time TD systems. It is concerned mainly with linear time delay systems, though nonlinear time delay systems are also included whenever applicable. Large-scale time-delay systems are also presented. All areas of concern are dealt with: modeling, analysis, structural properties, design, optimization and applications. Useful for graduates in engineering, science and mathematics, the volume will also appeal to researchers in the area since up-to-date surveys on most topics are provided.
This text aims to bridge the gap between basic classical and modern control principles and the more advanced optimal control theories, dealing with multivariable control system design and computer-aided control system design tools (CACSD).
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