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Nanoaerosols, Air Filtering and Respiratory Protection, 


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Название:  Nanoaerosols, Air Filtering and Respiratory Protection
ISBN: 9780367504953
Издательство: Taylor&Francis
Классификация:
















ISBN-10: 0367504952
Обложка/Формат: Paperback
Страницы: 240
Вес: 0.43 кг.
Дата издания: 22.11.2020
Серия: Occupational Safety, Health, and Ergonomics
Иллюстрации: 33 tables, black and white; 61 line drawings, black and white; 94 halftones, black and white; 155 illustrations, black and white
Размер: 234 x 156
Читательская аудитория: Professional & vocational
Основная тема: Health & Safety
Подзаголовок: Science and Practice
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Respiratory protective devices (RPD) serve to protect against air pollution in the work environment and in everyday life. This book provides the essential lifesaving knowledge for choosing the proper RPD against the nanoparticles. Ideal for the safety engineer and the health and safety professionals in the field.

Nanoaerosols, Air Filtering and Respiratory Protection

Название: Nanoaerosols, Air Filtering and Respiratory Protection
ISBN: 036750104X ISBN-13(EAN): 9780367501044
Издательство: Taylor&Francis
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Цена: 132710.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Respiratory protective devices (RPD) serve to protect against air pollution in the work environment and in everyday life. This book provides the essential lifesaving knowledge for choosing the proper RPD against the nanoparticles. Ideal for the safety engineer and the health and safety professionals in the field.

Nanofiber Filter Technologies for Filtration of Submicron Aerosols and Nanoaerosols

Автор: Woon-Fong Leung Wallace
Название: Nanofiber Filter Technologies for Filtration of Submicron Aerosols and Nanoaerosols
ISBN: 0128244682 ISBN-13(EAN): 9780128244685
Издательство: Elsevier Science
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Цена: 185270.00 T
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Описание: Nanofiber Filter Technologies for Filtration of Submicron Aerosols and Nanoaerosols covers the nanoaerosols (less than 100 nanometers) to larger submicron aerosols due mostly to pollution, which are present in high number concentration in our surroundings. People are breathing these nanoaerosols daily without being aware of it. Airborne viruses from flu to coronaviruses are also nanoaerosols. During the COVID-19 pandemic, it took a long time for health authorities and the General Public to recognize the airborne transmission mode of the virus. This leads to inadequate protection and ineffective virus control strategies resulting in high infection and death rates. The book cites evidence and observations pointing to the airborne transmission mode of the coronavirus. It also discusses different filtration technologies using nanofibers to capture these aerosols for short-term filtration, where aerosols are trapped in the filter (depth filtration), and long-term filtration, where aerosols are trapped in the growing filter cake (cake filtration). This book provides a good understanding on how nanofibers, which is of size 1/1000 times that of a normal human hair, can effectively filter these tiny aerosols. NFT, organized in four sections - fundamentals, deep understanding, technologies, and application, covering comprehensively on the subject, is a valuable resource for undergraduates and graduates, engineers, researchers and practitioners in related industries.

Bayesian Filtering and Smoothing

Автор: Lennart Svensson, Simo Sarkka
Название: Bayesian Filtering and Smoothing
ISBN: 1108926649 ISBN-13(EAN): 9781108926645
Издательство: Cambridge Academ
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Цена: 36950.00 T
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Описание: Now in its second edition, this accessible text presents a unified Bayesian treatment of state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models. The book focuses on discrete-time state space models and carefully introduces fundamental aspects related to optimal filtering and smoothing. In particular, it covers a range of efficient non-linear Gaussian filtering and smoothing algorithms, as well as Monte Carlo-based algorithms. This updated edition features new chapters on constructing state space models of practical systems, the discretization of continuous-time state space models, Gaussian filtering by enabling approximations, posterior linearization filtering, and the corresponding smoothers. Coverage of key topics is expanded, including extended Kalman filtering and smoothing, and parameter estimation. The book's practical, algorithmic approach assumes only modest mathematical prerequisites, suitable for graduate and advanced undergraduate students. Many examples are included, with Matlab and Python code available online, enabling readers to implement algorithms in their own projects.

Adaptive Filtering Techniques for Remote Health Care Monitoring Systems

Автор: Zia Ur Rahman
Название: Adaptive Filtering Techniques for Remote Health Care Monitoring Systems
ISBN: 1536147494 ISBN-13(EAN): 9781536147490
Издательство: Nova Science
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Цена: 182680.00 T
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Описание: Adaptive Filtering Techniques for Remote Health Care Monitoring Systems aims to present a full picture of the state-of-the-art research and development of adaptive signal processing applications in various real-time applications. This book covers some important applications like MIMO, artifact removal, speech enhancement, beam forming, brain computer interface, genomic analysis, biomedical signal processing, healthcare technology, inter symbol interference cancellation, and others.It is certainly not the authors ambition to cover everything concerning adaptive filtering principles and applications. Rather, this edited book features the latest methodological, technical and practical progress on promoting the successful use of adaptive filtering principles and applications, which are more useful in the current day scenario. This book consists of ten chapters contributed by prominent researchers from throughout the world.The intended audience of this book will mainly consist of researchers, research students and practitioners in adaptive filtering and applications. This book is also of interest to researchers and industrial practitioners in areas such as algorithm developers, biomedical engineering, biomedical instrumentation, VLSI circuits design, and embedded systems. This edited book will present research outcomes on theoretical and technical issues related to real-time applications.The authors would like to convey their appreciation to all the contributors, including the accepted chapters authors, and many other participants who submitted their chapters that cannot be included in the book due to space limitation.

Decentralized Control and Filtering in Interconnected Dynamical Systems

Автор: Mahmoud
Название: Decentralized Control and Filtering in Interconnected Dynamical Systems
ISBN: 1138117978 ISBN-13(EAN): 9781138117976
Издательство: Taylor&Francis
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Цена: 67360.00 T
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Описание:

Based on the many approaches available for dealing with large-scale systems (LSS), Decentralized Control and Filtering in Interconnected Dynamical Systems supplies a rigorous framework for studying the analysis, stability, and control problems of LSS. Providing an overall assessment of LSS theories, it addresses model order reduction, parametric uncertainties, time delays, and control estimator gain perturbations.

Taking readers on a guided tour through LSS, the book examines recent trends and approaches and reviews past methods and results from a contemporary perspective. It traces the progress of research along three eras:

  1. Fundamental era in which the basic conceptual frameworks, major ideas, and operational methodologies are laid down
  2. Contemporary era in which several of the workable methods and techniques are established and applied to many application areas
  3. Advanced era in which different high-level schemes and configurations are being developed to meet accelerated technological advancements

Focusing on robust, reliable, and/or resilient decentralized design methods based on linear matrix inequalities framework, the author offers suggestions for improvements to current approaches. He addresses the dominating sources of difficulties due to dimensionality, information structure constraints, uncertainties, and time delays. Drawing attention to key issues, the text is supported by proofs, efficient computational methods, end-of-chapter problems, and approximately 1,300 equations.


Spatial Filtering Velocimetry

Автор: Yoshihisa Aizu; Toshimitsu Asakura
Название: Spatial Filtering Velocimetry
ISBN: 3642066402 ISBN-13(EAN): 9783642066405
Издательство: Springer
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Цена: 130590.00 T
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Описание: In comparison with laser Doppler velocimetry, spatial ?ltering velocimetry had not received much attention from investigators but was studied steadily by several research groups mainly in Japan and is now practically used in various ?elds of engineering.

Statistical Analysis of Noise in MRI

Автор: Aja-Fern?ndez
Название: Statistical Analysis of Noise in MRI
ISBN: 3319399330 ISBN-13(EAN): 9783319399331
Издательство: Springer
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Цена: 102480.00 T
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Описание: This unique text presents a comprehensive review of methods for modeling signal and noise in magnetic resonance imaging (MRI), providing a systematic study, classifying and comparing the numerous and varied estimation and filtering techniques. Features: provides a complete framework for the modeling and analysis of noise in MRI, considering different modalities and acquisition techniques; describes noise and signal estimation for MRI from a statistical signal processing perspective; surveys the different methods to remove noise in MRI acquisitions from a practical point of view; reviews different techniques for estimating noise from MRI data in single- and multiple-coil systems for fully sampled acquisitions; examines the issue of noise estimation when accelerated acquisitions are considered, and parallel imaging methods are used to reconstruct the signal; includes appendices covering probability density functions, combinations of random variables used to derive estimators, and useful MRI datasets.

Algorithms for Discrete Fourier Transform and Convolution

Автор: Richard Tolimieri; Myoung An; Chao Lu
Название: Algorithms for Discrete Fourier Transform and Convolution
ISBN: 1441931155 ISBN-13(EAN): 9781441931153
Издательство: Springer
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Цена: 130590.00 T
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Описание: This graduate-level text provides a language for understanding, unifying, and implementing a wide variety of algorithms for digital signal processing - in particular, to provide rules and procedures that can simplify or even automate the task of writing code for the newest parallel and vector machines.


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