Nanoaerosols, Air Filtering and Respiratory Protection,
Название: Nanoaerosols, Air Filtering and Respiratory Protection ISBN: 036750104X ISBN-13(EAN): 9780367501044 Издательство: Taylor&Francis Рейтинг: 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.
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 Рейтинг: Цена: 185270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Lennart Svensson, Simo Sarkka Название: Bayesian Filtering and Smoothing ISBN: 1108926649 ISBN-13(EAN): 9781108926645 Издательство: Cambridge Academ Рейтинг: Цена: 36950.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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:
Fundamental era in which the basic conceptual frameworks, major ideas, and operational methodologies are laid down
Contemporary era in which several of the workable methods and techniques are established and applied to many application areas
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.
Автор: Richard Tolimieri; Myoung An; Chao Lu Название: Algorithms for Discrete Fourier Transform and Convolution ISBN: 1441931155 ISBN-13(EAN): 9781441931153 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Yoshihisa Aizu; Toshimitsu Asakura Название: Spatial Filtering Velocimetry ISBN: 3642066402 ISBN-13(EAN): 9783642066405 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Aja-Fern?ndez Название: Statistical Analysis of Noise in MRI ISBN: 3319399330 ISBN-13(EAN): 9783319399331 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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