Hands-On Accelerator Physics Using MATLAB®
Hands-On Accelerator Physics Using MATLAB®

Author: Volker Ziemann

Publisher: CRC Press

Published: 2019-04-29

Total Pages: 358

ISBN-13: 0429957475

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Awarded one of BookAuthority's best new Particle Physics books in 2019! Hands-On Accelerator Physics Using MATLAB® provides an introduction into the design and operational issues of a wide range of particle accelerators, from ion-implanters to the Large Hadron Collider at CERN. Many aspects from the design of beam optical systems and magnets, to the subsystems for acceleration, beam diagnostics, and vacuum are covered. Beam dynamics topics ranging from the beam-beam interaction to free-electron lasers are discussed. Theoretical concepts and the design of key components are explained with the help of MATLAB® code. Practical topics, such as beam size measurements, magnet construction and measurements, and radio-frequency measurements are explored in student labs without requiring access to an accelerator. This unique approach provides a look at what goes on 'under the hood' inside modern accelerators and presents readers with the tools to perform their independent investigations on the computer or in student labs. This book will be of interest to graduate students, postgraduate researchers studying accelerator physics, as well as engineers entering the field. Features: Provides insights into both synchrotron light sources and colliders Discusses technical subsystems, including magnets, radio-frequency engineering, instrumentation and diagnostics, correction of imperfections, control, and cryogenics Accompanied by MATLAB® code, including a 3D-modeler to visualize the accelerators, and additional appendices which are available on the CRC Press website

Predictive Analytics using MATLAB(R) for Biomedical Applications
Predictive Analytics using MATLAB(R) for Biomedical Applications

Author: L. Ashok Kumar

Publisher: Elsevier

Published: 2024-10-03

Total Pages: 109

ISBN-13: 0443298890

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Predictive Analytics using MATLAB(R) for Biomedical Applications is a comprehensive and practical guide for biomedical engineers, data scientists, and researchers on how to use predictive analytics techniques in MATLAB(R) for solving real-world biomedical problems. The book offers a technical overview of various predictive analytics methods and covers the utilization of MATLAB(R) for implementing these techniques. It includes several case studies that demonstrate how predictive analytics can be applied to real-world biomedical problems, such as predicting disease progression, analyzing medical imaging data, and optimizing treatment outcomes.With a plethora of examples and exercises, this book is the ultimate tool for reinforcing one's knowledge and skills. - Covers various predictive analytics methods, including regression analysis, time series analysis, and machine learning algorithms, providing readers with a comprehensive understanding of the field - Provides a hands-on approach to learning predictive analytics, with a focus on practical applications in biomedical engineering - Includes several case studies that demonstrate the practical application of predictive analytics in real-world biomedical problems, such as disease progression prediction, medical imaging analysis, and treatment optimization

Implementing Models in Quantitative Finance: Methods and Cases
Implementing Models in Quantitative Finance: Methods and Cases

Author: Gianluca Fusai

Publisher: Springer Science & Business Media

Published: 2007-12-20

Total Pages: 606

ISBN-13: 3540499598

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This book puts numerical methods in action for the purpose of solving practical problems in quantitative finance. The first part develops a toolkit in numerical methods for finance. The second part proposes twenty self-contained cases covering model simulation, asset pricing and hedging, risk management, statistical estimation and model calibration. Each case develops a detailed solution to a concrete problem arising in applied financial management and guides the user towards a computer implementation. The appendices contain "crash courses" in VBA and Matlab programming languages.

Dimensional Analysis for Unit Conversions Using MATLAB
Dimensional Analysis for Unit Conversions Using MATLAB

Author: Roger W. Pryor

Publisher: Mercury Learning and Information

Published: 2018-06-19

Total Pages: 186

ISBN-13: 1683922433

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This book and MATLAB® app package will accurately convert values from one unit of measure to another using standard conversion factors. It performs conversions from and to the inch-pound system units used in the USA and the International System of Units (SI) as documented in the National Institute of Standards and Technology (NIST) publications of conversions for general use. There are 1,316 conversion factors available for bidirectional conversion from / to SI units, organized into 44 minor subsections by topic under eight major topical sections. There is also an alphabetical section comprising 445 conversion factors for unidirectional conversion to SI units. It also converts CGS and other “unacceptable” units (conversion factors not for general use, i.e. as in science, engineering, etc.). The application performs all three steps in the conversion process: application of the relevant conversion factor, selection of significant digits, and rounding of the result. Conversion factors designated as “exact” are definitions, or they have been set by agreements that define the factor value precisely. All other conversion factors, designated as “derived,” result from truncation of decimal places and/or calculation by a combination of other factors. The unit converter will run on any MacOS or Windows platform that has MATLAB R2018A or R2018B installed. FEATURES: • Performs all three steps in the conversion process: application of the relevant conversion factor, selection of significant digits, and rounding of the result. • Converts values from one unit of measure to another using standard conversion factors. It performs conversions from and to the inch-pound system units used in the USA and also the International System of Units (SI). The companion files include: --The MATLAB conversion app. The unit converter will run on any MacOS or Windows platform that has MATLAB R2018A or R2018B installed. (Files are also available by writing to the publisher at info @ merclearning.com.)

Sample Size, Skewness and Leverage Effects in Value at Risk and Expected Shortfall Estimation
Sample Size, Skewness and Leverage Effects in Value at Risk and Expected Shortfall Estimation

Author: Laura García Jorcano

Publisher: Ed. Universidad de Cantabria

Published: 2020-02-24

Total Pages: 162

ISBN-13: 8481029122

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The thesis analyzes the effect that the sample size, the asymmetry in the distribution of returns and the leverage in their volatility have on the estimation and forecasting of market risk in financial assets. The goal is to compare the performance of a variety of models for the estimation and forecasting of Value at Risk (VaR) and Expected Shortfall (ES) for a set of assets of different nature: market indexes, individual stocks, bonds, exchange rates, and commodities. The three chapters of the thesis address issues of greatest interest for the measurement of risk in financial institutions and, therefore, for the supervision of risks in the financial system. They deal with technical issues related to the implementation of the Basel Committee's guidelines on some aspects of which very little is known in the academic world and in the specialized financial sector. In the first chapter, a numerical correction is proposed on the values usually estimatedwhen there is little statistical information, either because it is a financial asset (bond, investment fund...) recently created or issued, or because the nature or the structure of the asset or portfolio have recently changed. The second chapter analyzes the relevance of different aspects of risk modeling. The third and last chapter provides a characterization of the preferable methodology to comply with Basel requirements related to the backtesting of the Expected Shortfall.

Practical Biomedical Signal Analysis Using MATLAB®
Practical Biomedical Signal Analysis Using MATLAB®

Author: Katarzyn J. Blinowska

Publisher: CRC Press

Published: 2011-09-12

Total Pages: 326

ISBN-13: 1439812020

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Practical Biomedical Signal Analysis Using MATLAB® presents a coherent treatment of various signal processing methods and applications. The book not only covers the current techniques of biomedical signal processing, but it also offers guidance on which methods are appropriate for a given task and different types of data. The first several chapters of the text describe signal analysis techniques—including the newest and most advanced methods—in an easy and accessible way. MATLAB routines are listed when available and freely available software is discussed where appropriate. The final chapter explores the application of the methods to a broad range of biomedical signals, highlighting problems encountered in practice. A unified overview of the field, this book explains how to properly use signal processing techniques for biomedical applications and avoid misinterpretations and pitfalls. It helps readers to choose the appropriate method as well as design their own methods.

Differential Equations with MATLAB
Differential Equations with MATLAB

Author: Mark McKibben

Publisher: CRC Press

Published: 2014-09-08

Total Pages: 497

ISBN-13: 1466557087

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A unique textbook for an undergraduate course on mathematical modeling, Differential Equations with MATLAB: Exploration, Applications, and Theory provides students with an understanding of the practical and theoretical aspects of mathematical models involving ordinary and partial differential equations (ODEs and PDEs). The text presents a unifying

Quality of Horticultural Crops: A Recurrent/New Challenge for Plant Scientists in a Changing World
Quality of Horticultural Crops: A Recurrent/New Challenge for Plant Scientists in a Changing World

Author: Nadia Bertin

Publisher: Frontiers Media SA

Published: 2018-10-11

Total Pages: 314

ISBN-13: 2889455971

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Besides increasing crop yield to feed the growing population, improving crop quality is a challenging and key issue. Indeed, quality determines consumer acceptability and increases the attractivity of fresh and processed products. In this respect, fruit and vegetables, which represent a main source of vitamins and other health compounds, play a major role in human diet. This is the case in developing countries where populations are prone to nutritional deficiencies, but this is also a pending issue worldwide, where the growing middle class is increasingly aware and in search of healthy food. So a future challenge for the global horticultural industry will be to answer the demand for better quality food in a changing environment, where many resources will be limited. This e-collection collates state-of-the-art research on the quality of horticultural crops, covering the underlying physiological processes, the genetic and environmental controls during plant and organ development and the postharvest evolution of quality during storage and processing.

Practical Biomedical Signal Analysis Using MATLAB®
Practical Biomedical Signal Analysis Using MATLAB®

Author: Katarzyna J. Blinowska

Publisher: CRC Press

Published: 2021-10-18

Total Pages: 370

ISBN-13: 0429775733

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Covering the latest cutting-edge techniques in biomedical signal processing while presenting a coherent treatment of various signal processing methods and applications, this second edition of Practical Biomedical Signal Analysis Using MATLAB® also offers practical guidance on which procedures are appropriate for a given task and different types of data. It begins by describing signal analysis techniques—including the newest and most advanced methods in the field—in an easy and accessible way, illustrating them with Live Script demos. MATLAB® routines are listed when available, and freely available software is discussed where appropriate. The book concludes by exploring the applications of the methods to a broad range of biomedical signals while highlighting common problems encountered in practice. These chapters have been updated throughout and include new sections on multiple channel analysis and connectivity measures, phase-amplitude analysis, functional near-infrared spectroscopy, fMRI (BOLD) signals, wearable devices, multimodal signal analysis, and brain-computer interfaces. By providing a unified overview of the field, this book explains how to integrate signal processing techniques in biomedical applications properly and explores how to avoid misinterpretations and pitfalls. It helps readers to choose the appropriate method as well as design their own methods. It will be an excellent guide for graduate students studying biomedical engineering and practicing researchers in the field of biomedical signal analysis. Features: Fully updated throughout with new achievements, technologies, and methods and is supported with over 40 original MATLAB Live Scripts illustrating the discussed techniques, suitable for self-learning or as a supplement to college courses Provides a practical comparison of the advantages and disadvantages of different approaches in the context of various applications Applies the methods to a variety of signals, including electric, magnetic, acoustic, and optical Katarzyna J. Blinowska is a Professor emeritus at the University of Warsaw, Poland, where she was director of Graduate Studies in Biomedical Physics and head of the Department of Biomedical Physics. Currently, she is employed at the Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. She has been at the forefront in developing new advanced time-series methods for research and clinical applications. Jarosław Żygierewicz is a Professor at the University of Warsaw, Poland. His research focuses on developing methods for analyzing EEG and MEG signals, brain-computer interfaces, and applications of machine learning in signal processing and classification.

Engineering Noise Control
Engineering Noise Control

Author: David A. Bies

Publisher: CRC Press

Published: 2023-08-08

Total Pages: 922

ISBN-13: 100090878X

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This classic and authoritative textbook contains material that is not over-simplified and can be used to solve real-world noise control engineering problems. Engineering Noise Control, 6th edition covers theoretical concepts, and practical application of current noise control technology. Topics extensively covered or revised from the 5th edition include: beating; addition and subtraction of noise levels; combining multi-path noise level reductions; hearing damage assessment and protection; speech intelligibility; noise weighting curves; instrumentation, including MEMS, IEPE and TEDS sensors; noise source types, including transportation noise and equipment noise estimations; outdoor sound propagation, including noise barriers, meteorological effects and sloping ground effects; sound in rooms, muffling devices, including 4-pole analysis, self noise and pressure drop calculations; sound transmission through single, double and triple partitions; vibration measurement and control, finite element analysis; boundary element methods; and statistical energy analysis. Discusses all aspects of industrial and environmental noise control An ideal textbook for advanced undergraduate and graduate courses in noise control An excellent reference text for acoustic consultants and engineers Practical applications are used to demonstrate theoretical concepts Includes material not available in other books A wide range of example problems and solutions that are linked to noise control practice are available for download from www.causalsystems.com.