Emerging Applications Of Cellular Automata

Cellular automata have become a core subject in the sciences of complexity due to their conceptual simplicity, easiness of implementation for computer simulation, and ability to exhibit a wide variety of amazingly complex behavior. These features of cellular automata have attracted the researchers attention from a wide range of divergent fields of science. In this book, six outstanding emerging cellular automata applications have been compiled. These contributions underline the versatility of cellular automata as models for a wide diversity of complex systems. We hope that, after reading the outstanding contributions compiled in this book, we will have succeeded in bringing across what engineers and scientists are now doing about the application of cellular automata for solving practical problems in diverse disciplines. We also hope that this book will have been to your interest and liking. Lastly, we would like to thank all the authors for their excellent contributions in the different topics of cellular automata covered in this book.

Cellular Automata Transforms describes a new approach to using the dynamical system, popularly known as cellular automata (CA), as a tool for conducting transforms on data. Cellular automata have generated a great deal of interest since the early 1960s when John Conway created the `Game of Life'. This book takes a more serious look at CA by describing methods by which information building blocks, called basis functions (or bases), can be generated from the evolving states. These information blocks can then be used to construct any data. A typical dynamical system such as CA tend to involve an infinite possibilities of rules that define the inherent elements, neighborhood size, shape, number of states, and modes of association, etc. To be able to build these building blocks an elegant method had to be developed to address a large subset of these rules. A new formula, which allows for the definition a large subset of possible rules, is described in the book. The robustness of this formula allows searching of the CA rule space in order to develop applications for multimedia compression, data encryption and process modeling. Cellular Automata Transforms is divided into two parts. In Part I the fundamentals of cellular automata, including the history and traditional applications are outlined. The challenges faced in using CA to solve practical problems are described. The basic theory behind Cellular Automata Transforms (CAT) is developed in this part of the book. Techniques by which the evolving states of a cellular automaton can be converted into information building blocks are taught. The methods (including fast convolutions) by which forward and inverse transforms of any data can be achieved are also presented. Part II contains a description of applications of CAT. Chapter 4 describes digital image compression, audio compression and synthetic audio generation, three approaches for compressing video data. Chapter 5 contains both symmetric and public-key implementation of CAT encryption. Possible methods of attack are also outlined. Chapter 6 looks at process modeling by solving differential and integral equations. Examples are drawn from physics and fluid dynamics.

Nanoscale Field Effect Transistors: Emerging Applications is a comprehensive guide to understanding, simulating, and applying nanotechnology for design and development of specialized transistors. This book provides in-depth information on the modeling, simulation, characterization, and fabrication of semiconductor FET transistors. The book contents are structured into chapters that explain concepts with simple language and scientific references. The core of the book revolves around the fundamental physics that underlie the design of solid-state nanostructures and the optimization of these nanoscale devices for real-time applications. Readers will learn how to achieve superior performance in terms of reduced size and weight, enhanced subthreshold characteristics, improved switching efficiency, and minimal power consumption. Key Features: Quick summaries: Each chapter provides an introduction and summary to explain concepts in a concise manner. In-Depth Analysis: This book provides an extensive exploration of the theory and practice of nanoscale materials and devices, offering a detailed understanding of the technical aspects of Nano electronic FET transistors. Multidisciplinary Approach: It discusses various aspects of nanoscale materials and devices for applications such as quantum computation, biomedical applications, energy generation and storage, environmental protection, and more. It showcases how nanoscale FET devices are reshaping multiple industries. References: Chapters include references that encourage advanced readers to further explore key topics. Designed for a diverse audience, this book caters to students, academics and advanced readers interested in learning about Nano FET devices. Readership Students, academics and advanced readers

Spatial statistics has been widely used in many environmental studies. This book is a collection of recent studies on applying spatial statistics in subjects such as demography, transportation, precision agriculture and ecology. Different subjects require different aspects of spatial statistics. In addition to quantitative statements from statistics and tests, visualization in forms of maps, drawings, and images are provided to illustrate the relationship between data and locations. This book will be valuable to researchers who are interested in applying statistics to spatial data, as well as graduate students who know statistics and want to explore how it can be applied to spatial data. With the processing part being simplified to several mouse clicks by commercial software, one should pay more attention to justification of using spatial statistics, as well as interpretation and assessment of the results. GIScience proves to be a useful tool in visualization of spatial data, and such useful technology should be utilized, as part, for the interpretation and assessment of the results.

This reference textbook discusses low power designs for emerging applications. This book focuses on the research challenges associated with theory, design, and applications towards emerging Microelectronics and VLSI device design and developments, about low power consumptions. The advancements in large-scale integration technologies are principally responsible for the growth of the electronics industry. This book is focused on senior undergraduates, graduate students, and professionals in the field of electrical and electronics engineering, nanotechnology. This book: • Discusses various low power techniques and applications for designing efficient circuits. • Covers advance nanodevices such as FinFETs, TFETs, CNTFETs. • Covers various emerging areas like Quantum-Dot Cellular Automata Circuits and FPGAs and sensors. • Discusses applications like memory design for low power applications using nanodevices. The number of options for ICs in control applications, telecommunications, high-performance computing, and consumer electronics continues to grow with the emergence of VLSI designs. Nanodevices have revolutionized the electronics market and human life; it has impacted individual life to make it more convenient. They are ruling every sector such as electronics, energy, biomedicine, food, environment, and communication. This book discusses various emerging low power applications using CMOS and other emerging nanodevices.

This book gives a comprehensive overview of the most advanced theories, methodologies and applications in computer vision. Particularly, it gives an extensive coverage of 3D and robotic vision problems. Example chapters featured are Fourier methods for 3D surface modeling and analysis, use of constraints for calibration-free 3D Euclidean reconstruction, novel photogeometric methods for capturing static and dynamic objects, performance evaluation of robot localization methods in outdoor terrains, integrating 3D vision with force/tactile sensors, tracking via in-floor sensing, self-calibration of camera networks, etc. Some unique applications of computer vision in marine fishery, biomedical issues, driver assistance, are also highlighted.

This book gathers the proceedings of the 3rd International Conference on Advanced Intelligent Systems and Informatics 2017 (AISI2017), which took place in Cairo, Egypt from September 9 to 11, 2017. This international and interdisciplinary conference, which highlighted essential research and developments in the field of informatics and intelligent systems, was organized by the Scientific Research Group in Egypt (SRGE). The book’s content is divided into five main sections: Intelligent Language Processing, Intelligent Systems, Intelligent Robotics Systems, Informatics, and the Internet of Things.

This book not only discusses cellular automata (CA) as accouterment for simulation, but also the actual building of devices within cellular automata. CA are widely used tools for simulation in physics, ecology, mathematics, and other fields. But they are also digital "toy universes" worthy of study in their own right, with their own laws of physics and behavior. In studying CA for their own sake, we must look at constructive methods, that is the practice of actually building devices in a given CA that store and process in formation, replicate, and propagate themselves, and interact with other devices in complex ways. By building such machines, we learn what the CA's dynamics are capable of, and build an intuition about how to "engineer" the machine we want. We can also address fundamental questions, such as whether universal computation or even "living" things that reproduce and evolve can exist in the CA's digital world, and perhaps, how these things came to be in out own universe.