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Books on the topic 'Electric field modeling techniques'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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1

Li, S. Z. Markov random field modeling in image analysis. 3rd ed. London: Springer, 2009.

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2

Najim, Mohamed. Modeling, estimation and optimal filtration in signal processing. Hoboken, NJ: ISTE ; J. Wiley & Sons, 2008.

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3

Gildenblat, Gennady Sh. Compact Modeling: Principles, Techniques and Applications. Dordrecht: Springer Science+Business Media B.V., 2010.

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4

RF and microwave modeling and measurement techniques for compound field effect transistors. Raleigh, NC: SciTech Pub., 2009.

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5

Burkov, Aleksey. Technical operation of electric ships. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1048423.

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The book investigates the issues related to improving the efficiency of technical operation of ship electric drives, developed their classification. Identified ship's drives, having low reliability, designed and implemented technical solutions to increase their reliability. The appropriateness of the integrated assessment within the tasks of a mathematical and physical modeling. Developed and implemented mathematical and physical models for studies of electric drives. The proposed method, an algorithmic software, and made payments of contactors for work in the proposed technical solutions. Designed for those who specializiruetsya in the field of the theory and practice of ship electric drives. Useful for the learning process in the system of higher Maritime education.
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6

Lattman, Eaton E., Thomas D. Grant, and Edward H. Snell. Pushing the Envelope. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199670871.003.0014.

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Direct electron density determination from SAXS data opens up new opportunities. The ability to model density at high resolution and the implicit direct estimation of solvent terms such as the hydration shell may enable high-resolution wide angle scattering data to be used to calculate density when combined with additional structural information. Other diffraction methods that do not measure three-dimensional intensities, such as fiber diffraction, may also be able to take advantage of iterative structure factor retrieval. While the ability to reconstruct electron density ab initio is a major breakthrough in the field of solution scattering, the potential of the technique has yet to be fully uncovered. Additional structural information from techniques such as crystallography, NMR, and electron microscopy and density modification procedures can now be integrated to perform advanced modeling of the electron density function at high resolution, pushing the boundaries of solution scattering further than ever before.
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7

1934-, Zobrist George W., ed. VLSI fault modeling and testing techniques. Norwood, NJ: Ablex Pub. Corp., 1993.

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8

Najim, Mohamed. Modeling, Estimation and Optimal Filtration in Signal Processing. Wiley & Sons, Incorporated, John, 2010.

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9

Gao, Jianjun. RF and Microwave Modeling and Measurement Techniques for Field Effect Transistors. Institution of Engineering and Technology, 2010. http://dx.doi.org/10.1049/sbew027e.

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10

Duen, Ho Fat, and United States. National Aeronautics and Space Administration., eds. Modeling of metal-ferroelectric-semiconductor field effect transistors. [Washington, D.C: National Aeronautics and Space Administration, 1998.

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11

Duen, Ho Fat, and United States. National Aeronautics and Space Administration., eds. Modeling of metal-ferroelectric-semiconductor field effect transistors. [Washington, D.C: National Aeronautics and Space Administration, 1998.

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12

Karmakar, Supriya. Novel Three-state Quantum Dot Gate Field Effect Transistor: Fabrication, Modeling and Applications. Springer, 2016.

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13

Karmakar, Supriya. Novel Three-state Quantum Dot Gate Field Effect Transistor: Fabrication, Modeling and Applications. Springer, 2013.

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14

Li, Stan Z. Markov Random Field Modeling in Image Analysis (Computer Science Workbench). 2nd ed. Springer, 2001.

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15

Banuelos-Cabral, Eduardo Salvador, Jose Alberto Gutierrez-Robles, and Bjorn Gustavsen, eds. Rational Fitting Techniques for the Modeling of Electric Power Components and Systems Using MATLAB Environment. InTech, 2017. http://dx.doi.org/10.5772/intechopen.71692.

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16

Mohammed, Ahmed Sarhan. Analysis and modeling of electrically long MESFETS and coupled schottky lines. 1987.

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17

Schomer, Donald L., and Fernando H. Lopes da Silva, eds. Niedermeyer's Electroencephalography. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.001.0001.

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This book deals with the field of Electroencephalography in the widest possible sense, from the cellular foundations of the electric activities of the brain to a vast number of clinical applications. The basic science sections were up-dated to include advanced computer modeling approaches. The chapters on normal and pathological EEG findings in premature infants, newborns and children were thoroughly revised to keep up with the advances that have taken place recently in studying brain developmental issues. Major advances have taken place in neurophysiological findings in a variety of neurodegenerative disorders, which led to thoroughly revised chapters. Other rapidly changing subjects related to EEG recording/monitoring in ICU's, EMUs, and operating rooms, in patients with epilepsy, head injuries, infectious disorders and those undergoing surgical procedures, led to radically updating a number of chapters and to the addition of a chapter dedicated to invasive recordings for the treatment of patients with movement disorders. A previously missing chapter on the neurophysiology of myoclonus was added. Chapters that deal with automated EEG interpretation techniques and with standardizing EEG reporting using ILAE/IFCN approved terminology, were also added. Many chapters in the on-line version of the book will have the ability to link to a database of over 150 complete EEGs that cover the scope seen in a general EEG Lab. This link will allow the reader to manipulate the EEG display parameters as if they were in their own lab, generate a report and compare it to one generated by a panel of senior EEGers.
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18

Jolivet, Jean-Pierre. Metal Oxide Nanostructures Chemistry. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190928117.001.0001.

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This much-anticipated new edition of Jolivet's work builds on the edition published in 2000. It is entirely updated, restructured and increased in content. The book focuses on the formation by techniques of green chemistry of oxide nanoparticles having a technological interest. Jolivet introduces the most recent concepts and modelings such as dynamics of particle growth, ordered aggregation, ionic and electronic interfacial transfers. A general view of the metal hydroxides, oxy-hydroxides and oxides through the periodic table is given, highlighting the influence of the synthesis conditions on crystalline structure, size and morphology of nanoparticles. The formation of aluminum, iron, titanium, manganese and zirconium oxides are specifically studied. These nanomaterials have a special interest in many technological fields such as ceramic powders, catalysis and photocatalysis, colored pigments, polymers, cosmetics and also in some biological or environmental phenomena.
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19

Bethke, Craig M. Geochemical Reaction Modeling. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195094756.001.0001.

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Geochemical reaction modeling plays an increasingly vital role in several areas of geoscience, from environmental geochemistry and petroleum geology to the study of geothermal and hydrothermal fluids. This book provides an up-to-date overview of the use of numerical methods to model reaction processes in the Earth's crust and on its surface. Early chapters develop the theoretical foundations of the field, derive a set of governing equations, and show how numerical methods can be used to solve these equations. Other chapters discuss the distribution of species in natural waters; methods for computing activity coefficients in dilute solutions and in brines; the complexation of ions into mineral surfaces; the kinetics of precipitation and dissolution reactions; and the fractionation of stable isotopes. Later chapters provide a large number of fully worked calculation examples and case studies demonstrating the modeling techniques that can be applied to scientific and practical problems. Students in a variety of specialties from low-temperature geochemistry to groundwater hydrology will benefit from the wealth of information and practical applications this book has to offer.
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20

John, Schewel, and Society of Photo-optical Instrumentation Engineers., eds. High-speed computing, digital signal processing, and filtering using reconfigurable logic: 20-21 November 1996, Boston, Massachusetts. Bellingham, Wash., USA: SPIE, 1996.

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21

Davis, John C., and Ute Christina Herzfeld, eds. Computers in Geology - 25 Years of Progress. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195085938.001.0001.

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This volume vividly demonstrates the importance and increasing breadth of quantitative methods in the earth sciences. With contributions from an international cast of leading practitioners, chapters cover a wide range of state-of-the-art methods and applications, including computer modeling and mapping techniques. Many chapters also contain reviews and extensive bibliographies which serve to make this an invaluable introduction to the entire field. In addition to its detailed presentations, the book includes chapters on the history of geomathematics and on R.G.V. Eigen, the "father" of mathematical geology. Written to commemorate the 25th anniversary of the International Association for Mathematical Geology, the book will be sought after by both practitioners and researchers in all branches of geology.
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22

Nagel, Stefan. Machine Learning in Asset Pricing. Princeton University Press, 2021. http://dx.doi.org/10.23943/princeton/9780691218700.001.0001.

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Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. This book examines the promises and challenges of ML applications in asset pricing. Asset pricing problems are substantially different from the settings for which ML tools were developed originally. To realize the potential of ML methods, they must be adapted for the specific conditions in asset pricing applications. Economic considerations, such as portfolio optimization, absence of near arbitrage, and investor learning can guide the selection and modification of ML tools. Beginning with a brief survey of basic supervised ML methods, the book discusses the application of these techniques in empirical research in asset pricing and shows how they promise to advance the theoretical modeling of financial markets. The book presents the exciting possibilities of using cutting-edge methods in research on financial asset valuation.
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23

Spear, Thomas. The Oxford Encyclopedia of African Historiography: Methods and Sources. Oxford University Press, 2019. http://dx.doi.org/10.1093/acref/9780190698706.001.0001.

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The difficulties of exploring African history, especially for earlier periods, have spurred the development of a wide range of methodologies and approaches, such that Wyatt McGaffey once termed it “the decathlon of the social sciences.” Historians have long utilized archaeology, ethnography, historical linguistics, and oral traditions, but are only beginning to explore the possibilities of genetics or many of the new techniques used by archaeology and other sciences. And as digital sources—from historical documents and statistics to cartographic, climatic, demographic, and environmental modeling—proliferate, so do the problems in using them. The Oxford Encyclopedia of African Historiography: Methods and Sources discusses these sources and methods, and examines how these developments have influenced the scholarship that historians produce. Such methods continue to evolve, demanding that historians develop basic understandings of them. Thus, the Encyclopedia builds a theoretical foundation for the field, expanding the ways that Africa can be studied, and recovering the histories of the continent that often appear outside of the documentary record.
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24

El-Nasr, Magy Seif, Alessandro Canossa, Truong-Huy D. Nguyen, and Anders Drachen. Game Data Science. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192897879.001.0001.

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This book is aimed at giving readers an introduction to the practical side of game data science and thus can be used a textbook for game analytics or game user research class or as a reference to self learners and enthusiasts. Game data science is a term that we use to denote a process composed of methods and techniques by which an analyst or a data scientist can make sense of data to allow decision makers in a game company to make informed decisions. This process involves: statistical analysis, visualization, abstraction of low-level data, machine learning and sequence data modeling. The book introduces different methods borrowing from different fields including human computer interaction, machine learning, and data science, focusing on methods and techniques used by both industry and researchers within the field of games. The book examples and case studies specifically focus on gameplay log data. The book takes a practical stance on the subject by discussing theoretical foundation, practical approaches, and delves deeply into the different techniques proposed and used through labs, examples, and comprehensive surveys of various case studies from both industry and academia. Topics range from simple approaches to more advanced ones. No prior knowledge is required. The book is developed to be self contained and can be used as a good way to introduce the reader to data science and how it is applied to the filed of games.
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25

Hangan, Horia, and Ahsan Kareem, eds. The Oxford Handbook of Non-Synoptic Wind Storms. Oxford University Press, 2020. http://dx.doi.org/10.1093/oxfordhb/9780190670252.001.0001.

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This handbook is currently in development, with individual articles publishing online in advance of print publication. At this time, we cannot add information about unpublished articles in this handbook, however the table of contents will continue to grow as additional articles pass through the review process and are added to the site. Please note that the online publication date for this handbook is the date that the first article in the title was published online. For more information, please read the site FAQs. Wind storms impact human lives, their built as well as natural habitat. During the last century, society’s vulnerability to wind storms has been reduced by enhanced knowledge of their impact and by controlling exposure through better design. However, only two of the wind systems have so far been considered in the design of buildings and structures, i.e., synoptic winds resulting from macroscale weather systems spanning thousands of kilometers, e.g., extratropical storms, and mesoscale tropical storms spanning hundreds of kilometers and traveling fast, e.g., hurricanes/typhoons/cyclones. During the last two decades, enough evidence has surfaced to support that a third type of very localized wind storms, the non-synoptic winds, are the most damaging in some regions of the world. Thus far there are no design provisions established for the codification of these wind storms. Their characterization in terms of climatology, wind field and intensity, frequency and occurrence, as well as their impact on the built environment, is slowly developing. This handbook presents the state-of-the-art of knowledge related to all these features including their risk, insurance issues, and economics. The research in this area is on the one hand more arduous given the reduced scale, the three-dimensionality, and nonstationary aspects of these non-synoptic winds while, at the same time, its understanding and modeling are being aided by the emergence of novel modeling and simulation techniques which are addressed in this handbook. This will serve as a guiding resource for those interested in learning about and contributing to the advancement of the field.
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26

Cohen Kadosh, Roi, and Ann Dowker, eds. The Oxford Handbook of Numerical Cognition. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.001.0001.

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This book provides a comprehensive overview of numerical cognition by bringing together writing by leading researchers in psychology, neuroscience, and education, covering work using different methodological approaches in humans and animals. During the last decade there had been an explosion of studies and new findings with theoretical and translational implications. This progress has been made thanks to technological advances enabling sophisticated human neuroimaging techniques and neurophysiological studies of monkeys, and to advances in more traditional psychological and educational research. This has resulted in an enormous advance in our understanding of the neural and cognitive mechanisms of numerical cognition. In addition, there has recently been increasing interest and concern about pupils' mathematical achievement, resulting in attempts to use research to guide mathematics instruction in schools, and to develop interventions for children with mathematical difficulties. This book aims to provide a broad and extensive review of the field of numerical cognition, bringing together work from varied areas. The book covers research on important aspects of numerical cognition, involving findings from the areas of developmental psychology, cognitive psychology, human and animal neuroscience, computational modeling, neuropsychology and rehabilitation, learning disabilities education and individual differences, cross-cultural and cross-linguistic studies, and philosophy. It also includes an overview 'navigator' chapter for each section to provide a brief up-to-date review of the current literature, and to introduce and integrate the topics of the chapters in the section.
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27

Narayana, Shalini, Felipe Salinas, Frederick A. Boop, James W. Wheless, and Andrew C. Papanicolaou. Transcranial Magnetic Stimulation. Edited by Andrew C. Papanicolaou. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.11.

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Transcranial magnetic stimulation (TMS) is used to study cortical function by applying localized magnetic fields in a noninvasive manner. This chapter reviews the basic principles of TMS, including the stimulator unit, coils, and the interaction of TMS-induced electric field with the cortex. The advantages of TMS over invasive brain mapping techniques are highlighted. Improvements in the spatial accuracy of TMS are described in the context of image-guided TMS. Types of responses induced by motor cortex stimulation and their utility in mapping normal and diseased motor cortex are discussed. Language mapping with TMS takes advantage of the TMS-induced transient disruption of function, also termed “virtual lesion.” The authors provide examples of successful application of TMS in presurgical mapping of the motor and language areas in the brain. Emerging applications of TMS in the diagnosis of neuropsychiatric disorders and safety of TMS are also discussed.
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28

Horing, Norman J. Morgenstern. Retarded Green’s Functions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0005.

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Chapter 5 introduces single-particle retarded Green’s functions, which provide the probability amplitude that a particle created at (x, t) is later annihilated at (x′,t′). Partial Green’s functions, which represent the time development of one (or a few) state(s) that may be understood as localized but are in interaction with a continuum of states, are discussed and applied to chemisorption. Introductions are also made to the Dyson integral equation, T-matrix and the Dirac delta-function potential, with the latter applied to random impurity scattering. The retarded Green’s function in the presence of random impurity scattering is exhibited in the Born and self-consistent Born approximations, with application to Ando’s semi-elliptic density of states for the 2D Landau-quantized electron-impurity system. Important retarded Green’s functions and their methods of derivation are discussed. These include Green’s functions for electrons in magnetic fields in both three dimensions and two dimensions, also a Hamilton equation-of-motion method for the determination of Green’s functions with application to a 2D saddle potential in a time-dependent electric field. Moreover, separable Hamiltonians and their product Green’s functions are discussed with application to a one-dimensional superlattice in axial electric and magnetic fields. Green’s function matching/joining techniques are introduced and applied to spatially varying mass (heterostructures) and non-local electrostatics (surface plasmons).
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