estimation amp control with quantized measurements



Didier Dumur Zonotopes. From Guaranteed State-estimation to Control Didier Dumur Zonotopes. From Guaranteed State-estimation to Control Новинка

Didier Dumur Zonotopes. From Guaranteed State-estimation to Control

6881.81 руб. или Купить в рассрочку!
This title focuses on two significant problems in the field of automatic control, in particular state estimation and robust Model Predictive Control under input and state constraints, bounded disturbances and measurement noises. The authors build upon previous results concerning zonotopic set-membership state estimation and output feedback tube-based Model Predictive Control. Various existing zonotopic set-membership estimation methods are investigated and their advantages and drawbacks are discussed, making this book suitable both for researchers working in automatic control and industrial partners interested in applying the proposed techniques to real systems. The authors proceed to focus on a new method based on the minimization of the P-radius of a zonotope, in order to obtain a good trade-off between the complexity and the accuracy of the estimation. They propose a P-radius based set-membership estimation method to compute a zonotope containing the real states of a system, which are consistent with the disturbances and measurement noise. The problem of output feedback control using a zonotopic set-membership estimation is also explored. Among the approaches from existing literature on the subject, the implementation of robust predictive techniques based on tubes of trajectories is developed. Contents 1. Uncertainty Representation Based on Set Theory. 2. Several Approaches on Zonotopic Guaranteed Set-Membership Estimation. 3. Zonotopic Guaranteed State Estimation Based on P-Radius Minimization. 4. Tube Model Predictive Control Based on Zonotopic Set-Membership Estimation. About the Authors Vu Tuan Hieu Le is a Research Engineer at the IRSEEM/ESIGELEC Technopôle du Madrillet, Saint Etienne du Rouvray, France. Cristina Stoica is Assistant Professor in the Automatic Control Department at SUPELEC Systems Sciences (E3S), France. Teodoro Alamo is Professor in the Department of Systems Engineering and Automatic Control at the University of Seville, Spain. Eduardo F. Camacho is Professor in the Department of Systems Engineering and Automatic Control at the University of Seville, Spain. Didier Dumur is Professor in the Automatic Control Department, SUPELEC Systems Sciences (E3S), France.
Hebertt Sira-Ramirez Algebraic Identification and Estimation Methods in Feedback Control Systems Hebertt Sira-Ramirez Algebraic Identification and Estimation Methods in Feedback Control Systems Новинка

Hebertt Sira-Ramirez Algebraic Identification and Estimation Methods in Feedback Control Systems

14232.57 руб. или Купить в рассрочку!
Algebraic Identification and Estimation Methods in Feedback Control Systems presents a model-based algebraic approach to online parameter and state estimation in uncertain dynamic feedback control systems. This approach evades the mathematical intricacies of the traditional stochastic approach, proposing a direct model-based scheme with several easy-to-implement computational advantages. The approach can be used with continuous and discrete, linear and nonlinear, mono-variable and multi-variable systems. The estimators based on this approach are not of asymptotic nature, and do not require any statistical knowledge of the corrupting noises to achieve good performance in a noisy environment. These estimators are fast, robust to structured perturbations, and easy to combine with classical or sophisticated control laws. This book uses module theory, differential algebra, and operational calculus in an easy-to-understand manner and also details how to apply these in the context of feedback control systems. A wide variety of examples, including mechanical systems, power converters, electric motors, and chaotic systems, are also included to illustrate the algebraic methodology. Key features: Presents a radically new approach to online parameter and state estimation. Enables the reader to master the use and understand the consequences of the highly theoretical differential algebraic viewpoint in control systems theory. Includes examples in a variety of physical applications with experimental results. Covers the latest developments and applications. Algebraic Identification and Estimation Methods in Feedback Control Systems is a comprehensive reference for researchers and practitioners working in the area of automatic control, and is also a useful source of information for graduate and undergraduate students.
Daniele Martini De Success Probability Estimation with Applications to Clinical Trials Daniele Martini De Success Probability Estimation with Applications to Clinical Trials Новинка

Daniele Martini De Success Probability Estimation with Applications to Clinical Trials

7348.15 руб. или Купить в рассрочку!
Provides an introduction to the various statistical techniques involved in medical research and drug development with a focus on estimating the success probability of an experiment Success Probability Estimation with Applications to Clinical Trials details the use of success probability estimation in both the planning and analyzing of clinical trials and in widely used statistical tests. Devoted to both statisticians and non-statisticians who are involved in clinical trials, Part I of the book presents new concepts related to success probability estimation and their usefulness in clinical trials, and each section begins with a non-technical explanation of the presented concepts. Part II delves deeper into the techniques for success probability estimation and features applications to both reproducibility probability estimation and conservative sample size estimation. Success Probability Estimation with Applications to Clinical Trials: • Addresses the theoretical and practical aspects of the topic and introduces new and promising techniques in the statistical and pharmaceutical industries Features practical solutions for problems that are often encountered in clinical trials Includes success probability estimation for widely used statistical tests, such as parametric and nonparametric models Focuses on experimental planning, specifically the sample size of clinical trials using phase II results and data for planning phase III trials Introduces statistical concepts related to success probability estimation and their usefulness in clinical trials Success Probability Estimation with Applications to Clinical Trials is an ideal reference for statisticians and biostatisticians in the pharmaceutical industry as well as researchers and practitioners in medical centers who are actively involved in health policy, clinical research, and the design and evaluation of clinical trials.
Joel Dunsmore P. Handbook of Microwave Component Measurements. with Advanced VNA Techniques Joel Dunsmore P. Handbook of Microwave Component Measurements. with Advanced VNA Techniques Новинка

Joel Dunsmore P. Handbook of Microwave Component Measurements. with Advanced VNA Techniques

10716.05 руб. или Купить в рассрочку!
This book provides state-of-the-art coverage for making measurements on RF and Microwave Components, both active and passive. A perfect reference for R&D and Test Engineers, with topics ranging from the best practices for basic measurements, to an in-depth analysis of errors, correction methods, and uncertainty analysis, this book provides everything you need to understand microwave measurements. With primary focus on active and passive measurements using a Vector Network Analyzer, these techniques and analysis are equally applicable to measurements made with Spectrum Analyzers or Noise Figure Analyzers. The early chapters provide a theoretical basis for measurements complete with extensive definitions and descriptions of component characteristics and measurement parameters. The latter chapters give detailed examples for cases of cable, connector and filter measurements; low noise, high-gain and high power amplifier measurements, a wide range of mixer and frequency converter measurements, and a full examination of fixturing, de-embedding, balanced measurements and calibration techniques. The chapter on time-domain theory and measurements is the most complete treatment on the subject yet presented, with details of the underlying mathematics and new material on time domain gating. As the inventor of many of the methods presented, and with 30 years as a development engineer on the most modern measurement platforms, the author presents unique insights into the understanding of modern measurement theory. Key Features: Explains the interactions between the device-under-test (DUT) and the measuring equipment by demonstrating the best practices for ascertaining the true nature of the DUT, and optimizing the time to set up and measure Offers a detailed explanation of algorithms and mathematics behind measurements and error correction Provides numerous illustrations (e.g. block-diagrams for circuit connections and measurement setups) and practical examples on real-world devices, which can provide immediate benefit to the reader Written by the principle developer and designer of many of the measurement methods described This book will be an invaluable guide for RF and microwave R&D and test engineers, satellite test engineers, radar engineers, power amplifier designers, LNA designers, and mixer designers. University researchers and graduate students in microwave design and test will also find this book of interest.
Kevin Murphy D. Modeling and Estimation of Structural Damage Kevin Murphy D. Modeling and Estimation of Structural Damage Новинка

Kevin Murphy D. Modeling and Estimation of Structural Damage

9091.56 руб. или Купить в рассрочку!
Modelling and Estimation of Damage in Structures is a comprehensiveguide to solving the type of modelling and estimation problems associated with the physics of structural damage. Provides a model-based approach to damage identification Presents an in-depth treatment of probability theory and random processes Covers both theory and algorithms for implementing maximum likelihood and Bayesian estimation approaches Includes experimental examples of all detection and identification approaches Provides a clear means by which acquired data can be used to make decisions regarding maintenance and usage of a structure
Robert Alberty A. Enzyme Kinetics. Rapid-Equilibrium Applications of Mathematica Robert Alberty A. Enzyme Kinetics. Rapid-Equilibrium Applications of Mathematica Новинка

Robert Alberty A. Enzyme Kinetics. Rapid-Equilibrium Applications of Mathematica

13930.86 руб. или Купить в рассрочку!
Rapid-Equilibrium Enzyme Kinetics helps readers emphasize the estimation of kinetic parameters with the minimum number of velocity measurements, thereby reducing the amount of laboratory work necessary, and allowing more time for the consideration of complicated mechanisms. The book systematically progresses through six levels of understanding the enzyme-catalyzed reaction, and includes a CD-ROM so that the reader may use the programs in the book to input their own experimental data.
Alain Abran Software Project Estimation. The Fundamentals for Providing High Quality Information to Decision Makers Alain Abran Software Project Estimation. The Fundamentals for Providing High Quality Information to Decision Makers Новинка

Alain Abran Software Project Estimation. The Fundamentals for Providing High Quality Information to Decision Makers

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This book introduces theoretical concepts to explain the fundamentals of the design and evaluation of software estimation models. It provides software professionals with vital information on the best software management software out there. End-of-chapter exercises Over 100 figures illustrating the concepts presented throughout the book Examples incorporated with industry data
Gregory Mislick K. Cost Estimation. Methods and Tools Gregory Mislick K. Cost Estimation. Methods and Tools Новинка

Gregory Mislick K. Cost Estimation. Methods and Tools

8696.25 руб. или Купить в рассрочку!
Presents an accessible approach to the cost estimation tools, concepts, and techniques needed to support analytical and cost decisions Written with an easy-to-understand approach, Cost Estimation: Methods and Tools provides comprehensive coverage of the quantitative techniques needed by professional cost estimators and for those wanting to learn about this vibrant career field. Featuring the underlying mathematical and analytical principles of cost estimation, the book focuses on the tools and methods used to predict the research and development, production, and operating and support costs for successful cost estimation in industrial, business, and manufacturing processes. The book begins with a detailed historical perspective and key terms of the cost estimating field in order to develop the necessary background prior to implementing the presented quantitative methods. The book proceeds to fundamental cost estimation methods utilized in the field of cost estimation, including working with inflation indices, regression analysis, learning curves, analogies, cost factors, and wrap rates. With a step-by-step introduction to the practicality of cost estimation and the available resources for obtaining relevant data, Cost Estimation: Methods and Tools also features: Various cost estimating tools, concepts, and techniques needed to support business decisions Multiple questions at the end of each chapter to help readers obtain a deeper understanding of the discussed methods and techniques An overview of the software used in cost estimation, as well as an introduction to the application of risk and uncertainty analysis A Foreword from Dr. Douglas A. Brook, a professor in the Graduate School of Business and Public Policy at the Naval Postgraduate School, who spent many years working in the Department of Defense acquisition environment Cost Estimation: Methods and Tools is an excellent reference for academics and practitioners in decision science, operations research, operations management, business, and systems and industrial engineering, as well as a useful guide in support of professional cost estimation training and certification courses for practitioners. The book is also appropriate for graduate-level courses in operations research, operations management, engineering economics, and manufacturing and/or production processes.
Haitham Abu-Rub Variable Speed AC Drives with Inverter Output Filters Haitham Abu-Rub Variable Speed AC Drives with Inverter Output Filters Новинка

Haitham Abu-Rub Variable Speed AC Drives with Inverter Output Filters

8420.03 руб. или Купить в рассрочку!
The advance of variable speed drives systems (VSDs) engineering highlights the need of specific technical guidance provision by electrical machines and drives manufacturers, so that such applications can be properly designed to present advantages in terms of both energy efficiency and expenditure. This book presents problems and solutions related to inverter-fed electrical motors. Practically orientated, the book describes the reasons, theory and analysis of those problems. Various solutions for individual problems are presented together with the complete design process, modelling and simulation examples with MATLAB/Simulink on the companion website. A key focus of Variable Speed AC Drives with Inverter Output Filters is to examine the state variables estimation and motor control structures which have to be modified according to the used solution (filter). In most control systems the structure and parameters are taken into account to make it possible for precise control of the motor. This methodology is able to include modifications and extensions depending on specific control and estimation structures. Highly accessible, this is an invaluable resource for practising R&D engineers in drive companies, power electronics & control engineers and manufacturers of electrical drives. Senior undergraduate and postgraduate students in electronics and control engineering will also find it of value.
Jian Bi Sensory Discrimination Tests and Measurements. Sensometrics in Sensory Evaluation Jian Bi Sensory Discrimination Tests and Measurements. Sensometrics in Sensory Evaluation Новинка

Jian Bi Sensory Discrimination Tests and Measurements. Sensometrics in Sensory Evaluation

15496.98 руб. или Купить в рассрочку!
Sensory testing and measurement are the main functions of sensory analysis. In recent years, the sensory and consumer field has evolved to include both difference testing and similarity testing, and new sensory discrimination methods such as the tetrads have received more attention in the literature. This second edition of Sensory Discrimination Tests and Measurements is updated throughout and responds to these changes and includes: A wide range of sensory measurements: Measurements of sensory effect (d', R-index and Gini-index); Measurements of performance of trained sensory panel (Intraclass correlation coefficients and Cronbach?s coefficient alpha); Measurements of relative importance of correlated sensory and consumer attributes (drivers of consumer liking or purchase intent); Measurements of consumer emotions and psychographics; Measurements of time-intensity; Measurements of sensory thresholds; Measurements of sensory risk with negative sensory effects (Benchmark Dose, BMD, methodology) Measurements of sensory shelf life (SSL). A balanced introduction of sensory discrimination tests including difference tests and similarity tests. Bayesian approach to sensory discrimination tests. Modified and multiple-sample discrimination tests. Replicated discrimination tests using the beta-binomial (BB), corrected beta-binomial (CBB), and Dirichlet-multinomial (DM) models. Sensory discrimination methods including the tetrads and the ?M+N?. R and S-Plus codes for all the measurements and tests introduced in the book. Mainly intended for researchers and practitioners in the sensory and consumer field, the book is a useful reference for modern sensory analysis and consumer research, especially for sensometrics.
David Scott W. Multivariate Density Estimation. Theory, Practice, and Visualization David Scott W. Multivariate Density Estimation. Theory, Practice, and Visualization Новинка

David Scott W. Multivariate Density Estimation. Theory, Practice, and Visualization

8696.25 руб. или Купить в рассрочку!
Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods Featuring a thoroughly revised presentation, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition maintains an intuitive approach to the underlying methodology and supporting theory of density estimation. Including new material and updated research in each chapter, the Second Edition presents additional clarification of theoretical opportunities, new algorithms, and up-to-date coverage of the unique challenges presented in the field of data analysis. The new edition focuses on the various density estimation techniques and methods that can be used in the field of big data. Defining optimal nonparametric estimators, the Second Edition demonstrates the density estimation tools to use when dealing with various multivariate structures in univariate, bivariate, trivariate, and quadrivariate data analysis. Continuing to illustrate the major concepts in the context of the classical histogram, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition also features: Over 150 updated figures to clarify theoretical results and to show analyses of real data sets An updated presentation of graphic visualization using computer software such as R A clear discussion of selections of important research during the past decade, including mixture estimation, robust parametric modeling algorithms, and clustering More than 130 problems to help readers reinforce the main concepts and ideas presented Boxed theorems and results allowing easy identification of crucial ideas Figures in color in the digital versions of the book A website with related data sets Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition is an ideal reference for theoretical and applied statisticians, practicing engineers, as well as readers interested in the theoretical aspects of nonparametric estimation and the application of these methods to multivariate data. The Second Edition is also useful as a textbook for introductory courses in kernel statistics, smoothing, advanced computational statistics, and general forms of statistical distributions.
Jasveer Singh Functional Software Size Measurement Methodology with Effort Estimation and Performance Indication Jasveer Singh Functional Software Size Measurement Methodology with Effort Estimation and Performance Indication Новинка

Jasveer Singh Functional Software Size Measurement Methodology with Effort Estimation and Performance Indication

9074.35 руб. или Купить в рассрочку!
Presents a new, effective methodology in software size measurement Software size measurement is an extremely important and highly specialized aspect of the software life cycle. It is used for determining the effort and cost estimations for project planning purposes of a software project’s execution, and/or for other costing, charging, and productivity analysis purposes. Many software projects exceed their allocated budget limits because the methodologies currently available lack accuracy. The new software size measurement methodology presented in this book offers a complete procedure that overcomes the deficiencies of the current methodologies, allowing businesses to estimate the size and required effort correctly for all their software projects developed in high level languages. The Functional Software Size Measurement Methodology with Effort Estimation and Performance Indication (FSSM) allows for projects to be completed within the defined budget limits by obtaining accurate estimations. The methodology provides comprehensive and precise measurements of the complete software whereby factual software size determination, development effort estimation, and performance indications are obtained. The approach is elaborate, effective and accurate for software size measurement and development effort estimation, avoiding inaccurate project planning of software projects. Key features: Pinpoints one of the major, originating root causes of erroneous planning by disclosing hidden errors made in software size measurement, and consequently in effort estimates and project planning All the major relevant and important aspects of software size measurement are taken into consideration and clearly presented to the reader Functional Software Size Measurement Methodology with Effort Estimation and Performance Indication is a vital reference for software professionals and Master level students in software engineering. For further information and materials relating to this book, such as FSSM 1.0 Calculations Template for Results Tables and Graphs, containing Calculations, and Results Tables/Graphs for the Mini FSSM Example, please visit the following two accompanying websites: http://booksupport.wiley.com www.fssm.software
Xuefeng Yin Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications Xuefeng Yin Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications Новинка

Xuefeng Yin Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications

10586.74 руб. или Купить в рассрочку!
A comprehensive reference giving a thorough explanation of propagation mechanisms, channel characteristics results, measurement approaches and the modelling of channels Thoroughly covering channel characteristics and parameters, this book provides the knowledge needed to design various wireless systems, such as cellular communication systems, RFID and ad hoc wireless communication systems. It gives a detailed introduction to aspects of channels before presenting the novel estimation and modelling techniques which can be used to achieve accurate models. To systematically guide readers through the topic, the book is organised in three distinct parts. The first part covers the fundamentals of the characterization of propagation channels, including the conventional single-input single-output (SISO) propagation channel characterization as well as its extension to multiple-input multiple-output (MIMO) cases. Part two focuses on channel measurements and channel data post-processing. Wideband channel measurements are introduced, including the equipment, technology and advantages and disadvantages of different data acquisition schemes. The channel parameter estimation methods are then presented, which include conventional spectral-based estimation, the specular-path-model based high-resolution method, and the newly derived power spectrum estimation methods. Measurement results are used to compare the performance of the different estimation methods. The third part gives a complete introduction to different modelling approaches. Among them, both scattering theoretical channel modelling and measurement-based channel modelling approaches are detailed. This part also approaches how to utilize these two modelling approaches to investigate wireless channels for conventional cellular systems and some new emerging communication systems. This three-part approach means the book caters for the requirements of the audiences at different levels, including readers needing introductory knowledge, engineers who are looking for more advanced understanding, and expert researchers in wireless system design as a reference. Presents technical explanations, illustrated with examples of the theory in practice Discusses results applied to 4G communication systems and other emerging communication systems, such as relay, CoMP, and vehicle-to-vehicle rapid time-variant channels Can be used as comprehensive tutorial for students or a complete reference for engineers in industry Includes selected illustrations in color Program downloads available for readers Companion website with program downloads for readers and presentation slides and solution manual for instructors Essential reading for Graduate students and researchers interested in the characteristics of propagation channel, or who work in areas related to physical layer architectures, air interfaces, navigation, and wireless sensing
Giles Harrison Meteorological Measurements and Instrumentation Giles Harrison Meteorological Measurements and Instrumentation Новинка

Giles Harrison Meteorological Measurements and Instrumentation

7028.89 руб. или Купить в рассрочку!
This book describes the fundamental scientific principles underlying high quality instrumentation used for environmental measurements. It discusses a wide range of in situ sensors employed in practical environmental monitoring and, in particular, those used in surface based measurement systems. It also considers the use of weather balloons to provide a wealth of upper atmosphere data. To illustrate the technologies in use it includes many examples of real atmospheric measurements in typical and unusual circumstances, with a discussion of the electronic signal conditioning, data acquisition considerations and data processing principles necessary for reliable measurements. This also allows the long history of atmospheric measurements to be placed in the context of the requirements of modern climate science, by building the physical science appreciation of the instrumental record and looking forward to new and emerging sensor and recording technologies.
Myer Kutz Handbook of Measurement in Science and Engineering, Volume 1 Myer Kutz Handbook of Measurement in Science and Engineering, Volume 1 Новинка

Myer Kutz Handbook of Measurement in Science and Engineering, Volume 1

29038.91 руб. или Купить в рассрочку!
A multidisciplinary reference of engineering measurement tools, techniques, and applications—Volume 1 «When you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge is of a meager and unsatisfactory kind; it may be the beginning of knowledge, but you have scarcely in your thoughts advanced to the stage of science.» – Lord Kelvin Measurement falls at the heart of any engineering discipline and job function. Whether engineers are attempting to state requirements quantitatively and demonstrate compliance; to track progress and predict results; or to analyze costs and benefits, they must use the right tools and techniques to produce meaningful, useful data. The Handbook of Measurement in Science and Engineering is the most comprehensive, up-to-date reference set on engineering measurements—beyond anything on the market today. Encyclopedic in scope, Volume 1 spans several disciplines—Civil and Environmental Engineering, Mechanical and Biomedical Engineering, and Industrial Engineering—and covers: New Measurement Techniques in Structural Health Monitoring Traffic Congestion Management Measurements in Environmental Engineering Dimensions, Surfaces, and Their Measurement Luminescent Method for Pressure Measurement Vibration Measurement Temperature Measurement Force Measurement Heat Transfer Measurements for Non-Boiling Two-Phase Flow Solar Energy Measurements Human Movement Measurements Physiological Flow Measurements GIS and Computer Mapping Seismic Testing of Highway Bridges Hydrology Measurements Mobile Source Emissions Testing Mass Properties Measurement Resistive Strain Measurement Devices Acoustics Measurements Pressure and Velocity Measurements Heat Flux Measurement Wind Energy Measurements Flow Measurement Statistical Quality Control Industrial Energy Efficiency Industrial Waste Auditing Vital for engineers, scientists, and technical managers in industry and government, Handbook of Measurement in Science and Engineering will also prove ideal for members of major engineering associations and academics and researchers at universities and laboratories.
Biao Huang Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells. First Principle and Data-based Approaches Biao Huang Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells. First Principle and Data-based Approaches Новинка

Biao Huang Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells. First Principle and Data-based Approaches

12095.54 руб. или Купить в рассрочку!
The high temperature solid oxide fuel cell (SOFC) is identified as one of the leading fuel cell technology contenders to capture the energy market in years to come. However, in order to operate as an efficient energy generating system, the SOFC requires an appropriate control system which in turn requires a detailed modelling of process dynamics. Introducting state-of-the-art dynamic modelling, estimation, and control of SOFC systems, this book presents original modelling methods and brand new results as developed by the authors. With comprehensive coverage and bringing together many aspects of SOFC technology, it considers dynamic modelling through first-principles and data-based approaches, and considers all aspects of control, including modelling, system identification, state estimation, conventional and advanced control. Key features: Discusses both planar and tubular SOFC, and detailed and simplified dynamic modelling for SOFC Systematically describes single model and distributed models from cell level to system level Provides parameters for all models developed for easy reference and reproducing of the results All theories are illustrated through vivid fuel cell application examples, such as state-of-the-art unscented Kalman filter, model predictive control, and system identification techniques to SOFC systems The tutorial approach makes it perfect for learning the fundamentals of chemical engineering, system identification, state estimation and process control. It is suitable for graduate students in chemical, mechanical, power, and electrical engineering, especially those in process control, process systems engineering, control systems, or fuel cells. It will also aid researchers who need a reminder of the basics as well as an overview of current techniques in the dynamic modelling and control of SOFC.
PREMIUM Крем Sebum & Age Control, 150 мл PREMIUM Крем Sebum & Age Control, 150 мл Новинка

PREMIUM Крем Sebum & Age Control, 150 мл

Активно корректирует процессы увядания жирной кожи, не провоцируя повышение сальности. Увлажняет, питает кожу, замедляет процесс образования морщин. Восстанавливает нормальный баланс микрофлоры, стимулирует процесс ревитализации клеток. Является средством профилактики возникновения акне элементов.
Cecil Smith L. Basic Process Measurements Cecil Smith L. Basic Process Measurements Новинка

Cecil Smith L. Basic Process Measurements

8875.18 руб. или Купить в рассрочку!
A unique resource for process measurement Basic Process Measurements provides a unique resource explaining the industrial measuring devices that gauge such key variables as temperature, pressure, density, level, and flow. With an emphasis on the most commonly installed technologies, this guide outlines both the process variable being measured as well as how the relevant measuring instruments function. The benefits of each technology are considered in turn, along with their potential problems. Looking at both new and existing technologies, the book maintains a practical focus on properly selecting and deploying the best technology for a given process application. The coverage in Basic Process Measurements enables the practitioner to: Resolve problems with currently installed devices Upgrade currently installed devices to newer and better technologies Add instruments for process variables not previously measurable Evaluate device installations from a perspective of both normal process operating conditions and abnormal conditions Determine the best technology for a given set of process conditions Designed for a wide range of technical professionals, Basic Process Measurements provides a balanced treatment of the concepts, background information, and specific processes and technologies making up this critical aspect of process improvement and control.
Brenton Clarke R. Robustness Theory and Application Brenton Clarke R. Robustness Theory and Application Новинка

Brenton Clarke R. Robustness Theory and Application

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A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytical methods, which are resistant to outlying observations in the data, while capable of detecting outliers, robust statistics is extremely useful for solving an array of common problems, such as estimating location, scale, and regression parameters. Written by an internationally recognized expert in the field of robust statistics, this book addresses a range of well-established techniques while exploring, in depth, new and exciting methodologies. Local robustness and global robustness are discussed, and problems of non-identifiability and adaptive estimation are considered. Rather than attempt an exhaustive investigation of robustness, the author provides readers with a timely review of many of the most important problems in statistical inference involving robust estimation, along with a brief look at confidence intervals for location. Throughout, the author meticulously links research in maximum likelihood estimation with the more general M-estimation methodology. Specific applications and R and some MATLAB subroutines with accompanying data sets—available both in the text and online—are employed wherever appropriate. Providing invaluable insights and guidance, Robustness Theory and Application: Offers a balanced presentation of theory and applications within each topic-specific discussion Features solved examples throughout which help clarify complex and/or difficult concepts Meticulously links research in maximum likelihood type estimation with the more general M-estimation methodology Delves into new methodologies which have been developed over the past decade without stinting on coverage of “tried-and-true” methodologies Includes R and some MATLAB subroutines with accompanying data sets, which help illustrate the power of the methods described Robustness Theory and Application is an important resource for all statisticians interested in the topic of robust statistics. This book encompasses both past and present research, making it a valuable supplemental text for graduate-level courses in robustness.
Mohsen Pourahmadi High-Dimensional Covariance Estimation. With High-Dimensional Data Mohsen Pourahmadi High-Dimensional Covariance Estimation. With High-Dimensional Data Новинка

Mohsen Pourahmadi High-Dimensional Covariance Estimation. With High-Dimensional Data

7256.32 руб. или Купить в рассрочку!
Methods for estimating sparse and large covariance matrices Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences. High-Dimensional Covariance Estimation provides accessible and comprehensive coverage of the classical and modern approaches for estimating covariance matrices as well as their applications to the rapidly developing areas lying at the intersection of statistics and machine learning. Recently, the classical sample covariance methodologies have been modified and improved upon to meet the needs of statisticians and researchers dealing with large correlated datasets. High-Dimensional Covariance Estimation focuses on the methodologies based on shrinkage, thresholding, and penalized likelihood with applications to Gaussian graphical models, prediction, and mean-variance portfolio management. The book relies heavily on regression-based ideas and interpretations to connect and unify many existing methods and algorithms for the task. High-Dimensional Covariance Estimation features chapters on: Data, Sparsity, and Regularization Regularizing the Eigenstructure Banding, Tapering, and Thresholding Covariance Matrices Sparse Gaussian Graphical Models Multivariate Regression The book is an ideal resource for researchers in statistics, mathematics, business and economics, computer sciences, and engineering, as well as a useful text or supplement for graduate-level courses in multivariate analysis, covariance estimation, statistical learning, and high-dimensional data analysis.
Mohammad Arashi Theory of Ridge Regression Estimation with Applications Mohammad Arashi Theory of Ridge Regression Estimation with Applications Новинка

Mohammad Arashi Theory of Ridge Regression Estimation with Applications

11940.74 руб. или Купить в рассрочку!
A guide to the systematic analytical results for ridge, LASSO, preliminary test, and Stein-type estimators with applications Theory of Ridge Regression Estimation with Applications offers a comprehensive guide to the theory and methods of estimation. Ridge regression and LASSO are at the center of all penalty estimators in a range of standard models that are used in many applied statistical analyses. Written by noted experts in the field, the book contains a thorough introduction to penalty and shrinkage estimation and explores the role that ridge, LASSO, and logistic regression play in the computer intensive area of neural network and big data analysis. Designed to be accessible, the book presents detailed coverage of the basic terminology related to various models such as the location and simple linear models, normal and rank theory-based ridge, LASSO, preliminary test and Stein-type estimators.The authors also include problem sets to enhance learning. This book is a volume in the Wiley Series in Probability and Statistics series that provides essential and invaluable reading for all statisticians. This important resource: Offers theoretical coverage and computer-intensive applications of the procedures presented Contains solutions and alternate methods for prediction accuracy and selecting model procedures Presents the first book to focus on ridge regression and unifies past research with current methodology Uses R throughout the text and includes a companion website containing convenient data sets Written for graduate students, practitioners, and researchers in various fields of science, Theory of Ridge Regression Estimation with Applications is an authoritative guide to the theory and methodology of statistical estimation.
John Ogundare Olusegun Understanding Least Squares Estimation and Geomatics Data Analysis John Ogundare Olusegun Understanding Least Squares Estimation and Geomatics Data Analysis Новинка

John Ogundare Olusegun Understanding Least Squares Estimation and Geomatics Data Analysis

11481.48 руб. или Купить в рассрочку!
Provides a modern approach to least squares estimation and data analysis for undergraduate land surveying and geomatics programs Rich in theory and concepts, this comprehensive book on least square estimation and data analysis provides examples that are designed to help students extend their knowledge to solving more practical problems. The sample problems are accompanied by suggested solutions, and are challenging, yet easy enough to manually work through using simple computing devices, and chapter objectives provide an overview of the material contained in each section. Understanding Least Squares Estimation and Geomatics Data Analysis begins with an explanation of survey observables, observations, and their stochastic properties. It reviews matrix structure and construction and explains the needs for adjustment. Next, it discusses analysis and error propagation of survey observations, including the application of heuristic rule for covariance propagation. Then, the important elements of statistical distributions commonly used in geomatics are discussed. Main topics of the book include: concepts of datum definitions; the formulation and linearization of parametric, conditional and general model equations involving typical geomatics observables; geomatics problems; least squares adjustments of parametric, conditional and general models; confidence region estimation; problems of network design and pre-analysis; three-dimensional geodetic network adjustment; nuisance parameter elimination and the sequential least squares adjustment; post-adjustment data analysis and reliability; the problems of datum; mathematical filtering and prediction; an introduction to least squares collocation and the kriging methods; and more. Contains ample concepts/theory and content, as well as practical and workable examples Based on the author's manual, which he developed as a complete and comprehensive book for his Adjustment of Surveying Measurements and Special Topics in Adjustments courses Provides geomatics undergraduates and geomatics professionals with required foundational knowledge An excellent companion to Precision Surveying: The Principles and Geomatics Practice Understanding Least Squares Estimation and Geomatics Data Analysis is recommended for undergraduates studying geomatics, and will benefit many readers from a variety of geomatics backgrounds, including practicing surveyors/engineers who are interested in least squares estimation and data analysis, geomatics researchers, and software developers for geomatics.
Edward R. Dougherty Error Estimation for Pattern Recognition Edward R. Dougherty Error Estimation for Pattern Recognition Новинка

Edward R. Dougherty Error Estimation for Pattern Recognition

10209.36 руб. или Купить в рассрочку!
This book is the first of its kind to discuss error estimation with a model-based approach. From the basics of classifiers and error estimators to distributional and Bayesian theory, it covers important topics and essential issues pertaining to the scientific validity of pattern classification. Error Estimation for Pattern Recognition focuses on error estimation, which is a broad and poorly understood topic that reaches all research areas using pattern classification. It includes model-based approaches and discussions of newer error estimators such as bolstered and Bayesian estimators. This book was motivated by the application of pattern recognition to high-throughput data with limited replicates, which is a basic problem now appearing in many areas. The first two chapters cover basic issues in classification error estimation, such as definitions, test-set error estimation, and training-set error estimation. The remaining chapters in this book cover results on the performance and representation of training-set error estimators for various pattern classifiers. Additional features of the book include: • The latest results on the accuracy of error estimation • Performance analysis of re-substitution, cross-validation, and bootstrap error estimators using analytical and simulation approaches • Highly interactive computer-based exercises and end-of-chapter problems This is the first book exclusively about error estimation for pattern recognition. Ulisses M. Braga Neto is an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University, USA. He received his PhD in Electrical and Computer Engineering from The Johns Hopkins University. Dr. Braga Neto received an NSF CAREER Award for his work on error estimation for pattern recognition with applications in genomic signal processing. He is an IEEE Senior Member. Edward R. Dougherty is a Distinguished Professor, Robert F. Kennedy ’26 Chair, and Scientific Director at the Center for Bioinformatics and Genomic Systems Engineering at Texas A&M University, USA. He is a fellow of both the IEEE and SPIE, and he has received the SPIE Presidents Award. Dr. Dougherty has authored several books including Epistemology of the Cell: A Systems Perspective on Biological Knowledge and Random Processes for Image and Signal Processing (Wiley-IEEE Press).
Jill Fiedler-Kelly Introduction to Population Pharmacokinetic / Pharmacodynamic Analysis with Nonlinear Mixed Effects Models Jill Fiedler-Kelly Introduction to Population Pharmacokinetic / Pharmacodynamic Analysis with Nonlinear Mixed Effects Models Новинка

Jill Fiedler-Kelly Introduction to Population Pharmacokinetic / Pharmacodynamic Analysis with Nonlinear Mixed Effects Models

8620.92 руб. или Купить в рассрочку!
This book provides a user-friendly, hands-on introduction to the Nonlinear Mixed Effects Modeling (NONMEM) system, the most powerful tool for pharmacokinetic / pharmacodynamic analysis. • Introduces requisite background to using Nonlinear Mixed Effects Modeling (NONMEM), covering data requirements, model building and evaluation, and quality control aspects • Provides examples of nonlinear modeling concepts and estimation basics with discussion on the model building process and applications of empirical Bayesian estimates in the drug development environment • Includes detailed chapters on data set structure, developing control streams for modeling and simulation, model applications, interpretation of NONMEM output and results, and quality control • Has datasets, programming code, and practice exercises with solutions, available on a supplementary website
Tulay Adali Blind Identification and Separation of Complex-valued Signals Tulay Adali Blind Identification and Separation of Complex-valued Signals Новинка

Tulay Adali Blind Identification and Separation of Complex-valued Signals

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Blind identification consists of estimating a multi-dimensional system only through the use of its output, and source separation, the blind estimation of the inverse of the system. Estimation is generally carried out using different statistics of the output. The authors of this book consider the blind identification and source separation problem in the complex-domain, where the available statistical properties are richer and include non-circularity of the sources – underlying components. They define identifiability conditions and present state-of-the-art algorithms that are based on algebraic methods as well as iterative algorithms based on maximum likelihood theory. Contents 1. Mathematical Preliminaries. 2. Estimation by Joint Diagonalization. 3. Maximum Likelihood ICA. About the Authors Eric Moreau is Professor of Electrical Engineering at the University of Toulon, France. His research interests concern statistical signal processing, high order statistics and matrix/tensor decompositions with applications to data analysis, telecommunications and radar. Tülay Adali is Professor of Electrical Engineering and Director of the Machine Learning for Signal Processing Laboratory at the University of Maryland, Baltimore County, USA. Her research interests concern statistical and adaptive signal processing, with an emphasis on nonlinear and complex-valued signal processing, and applications in biomedical data analysis and communications. Blind identification consists of estimating a multidimensional system through the use of only its output. Source separation is concerned with the blind estimation of the inverse of the system. The estimation is generally performed by using different statistics of the outputs. The authors consider the blind estimation of a multiple input/multiple output (MIMO) system that mixes a number of underlying signals of interest called sources. They also consider the case of direct estimation of the inverse system for the purpose of source separation. They then describe the estimation theory associated with the identifiability conditions and dedicated algebraic algorithms. The algorithms depend critically on (statistical and/or time frequency) properties of complex sources that will be precisely described.
Carlos Duque Augusto Power Systems Signal Processing for Smart Grids Carlos Duque Augusto Power Systems Signal Processing for Smart Grids Новинка

Carlos Duque Augusto Power Systems Signal Processing for Smart Grids

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With special relation to smart grids, this book provides clear and comprehensive explanation of how Digital Signal Processing (DSP) and Computational Intelligence (CI) techniques can be applied to solve problems in the power system. Its unique coverage bridges the gap between DSP, electrical power and energy engineering systems, showing many different techniques applied to typical and expected system conditions with practical power system examples. Surveying all recent advances on DSP for power systems, this book enables engineers and researchers to understand the current state of the art and to develop new tools. It presents: an overview on the power system and electric signals, with description of the basic concepts of DSP commonly found in power system problems the application of several signal processing tools to problems, looking at power signal estimation and decomposition, pattern recognition techniques, detection of the power system signal variations description of DSP in relation to measurements, power quality, monitoring, protection and control, and wide area monitoring a companion website with real signal data, several Matlab codes with examples, DSP scripts and samples of signals for further processing, understanding and analysis Practicing power systems engineers and utility engineers will find this book invaluable, as will researchers of electrical power and energy systems, postgraduate electrical engineering students, and staff at utility companies.
Peng Shi Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation Peng Shi Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation Новинка

Peng Shi Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation

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A treatise on investigating tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation Robust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation provides the reader with a good understanding on how to achieve tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation. Although some texts have touched upon control of fractional-order systems, the issues of input saturation and disturbances have rarely been considered together. This book offers chapter coverage of fractional calculus and fractional-order systems; fractional-order PID controller and fractional-order disturbance observer; design of fractional-order controllers for nonlinear chaotic systems and some applications; sliding mode control for fractional-order nonlinear systems based on disturbance observer; disturbance observer based neural control for an uncertain fractional-order rotational mechanical system; adaptive neural tracking control for uncertain fractional-order chaotic systems subject to input saturation and disturbance; stabilization control of continuous-time fractional positive systems based on disturbance observer; sliding mode synchronization control for fractional-order chaotic systems with disturbance; and more. Based on the approximation ability of the neural network (NN), the adaptive neural control schemes are reported for uncertain fractional-order nonlinear systems Covers the disturbance estimation techniques that have been developed to alleviate the restriction faced by traditional feedforward control and reject the effect of external disturbances for uncertain fractional-order nonlinear systems By combining the NN with the disturbance observer, the disturbance observer based adaptive neural control schemes have been studied for uncertain fractional-order nonlinear systems with unknown disturbances Considers, together, the issue of input saturation and the disturbance for the control of fractional-order nonlinear systems in the present of system uncertainty, external disturbance, and input saturation Robust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation can be used as a reference for the academic research on fractional-order nonlinear systems or used in Ph.D. study of control theory and engineering.
Chan Tze Fun Applied Intelligent Control of Induction Motor Drives Chan Tze Fun Applied Intelligent Control of Induction Motor Drives Новинка

Chan Tze Fun Applied Intelligent Control of Induction Motor Drives

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Induction motors are the most important workhorses in industry. They are mostly used as constant-speed drives when fed from a voltage source of fixed frequency. Advent of advanced power electronic converters and powerful digital signal processors, however, has made possible the development of high performance, adjustable speed AC motor drives. This book aims to explore new areas of induction motor control based on artificial intelligence (AI) techniques in order to make the controller less sensitive to parameter changes. Selected AI techniques are applied for different induction motor control strategies. The book presents a practical computer simulation model of the induction motor that could be used for studying various induction motor drive operations. The control strategies explored include expert-system-based acceleration control, hybrid-fuzzy/PI two-stage control, neural-network-based direct self control, and genetic algorithm based extended Kalman filter for rotor speed estimation. There are also chapters on neural-network-based parameter estimation, genetic-algorithm-based optimized random PWM strategy, and experimental investigations. A chapter is provided as a primer for readers to get started with simulation studies on various AI techniques. Presents major artificial intelligence techniques to induction motor drives Uses a practical simulation approach to get interested readers started on drive development Authored by experienced scientists with over 20 years of experience in the field Provides numerous examples and the latest research results Simulation programs available from the book's Companion Website This book will be invaluable to graduate students and research engineers who specialize in electric motor drives, electric vehicles, and electric ship propulsion. Graduate students in intelligent control, applied electric motion, and energy, as well as engineers in industrial electronics, automation, and electrical transportation, will also find this book helpful. Simulation materials available for download at www.wiley.com/go/chanmotor
Alain Boutier Laser Velocimetry in Fluid Mechanics Alain Boutier Laser Velocimetry in Fluid Mechanics Новинка

Alain Boutier Laser Velocimetry in Fluid Mechanics

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In fluid mechanics, velocity measurement is fundamental in order to improve the behavior knowledge of the flow. Velocity maps help us to understand the mean flow structure and its fluctuations, in order to further validate codes. Laser velocimetry is an optical technique for velocity measurements; it is based on light scattering by tiny particles assumed to follow the flow, which allows the local fluid flow velocity and its fluctuations to be determined. It is a widely used non-intrusive technique to measure velocities in fluid flows, either locally or in a map. This book presents the various techniques of laser velocimetry, as well as their specific qualities: local measurements or in plane maps, mean or instantaneous values, 3D measurements. Flow seeding with particles is described with currently used products, as well as the appropriate aerosol generators. Post-processing of data allows us to extract synthetic information from measurements and to perform comparisons with results issued from CFD codes. The principles and characteristics of the different available techniques, all based on the scattering of light by tiny particles embedded in the flow, are described in detail; showing how they deliver different information, either locally or in a map, mean values and turbulence characteristics.
Alireza Javaheri Inside Volatility Filtering. Secrets of the Skew Alireza Javaheri Inside Volatility Filtering. Secrets of the Skew Новинка

Alireza Javaheri Inside Volatility Filtering. Secrets of the Skew

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A new, more accurate take on the classical approach to volatility evaluation Inside Volatility Filtering presents a new approach to volatility estimation, using financial econometrics based on a more accurate estimation of the hidden state. Based on the idea of «filtering», this book lays out a two-step framework involving a Chapman-Kolmogorov prior distribution followed by Bayesian posterior distribution to develop a robust estimation based on all available information. This new second edition includes guidance toward basing estimations on historic option prices instead of stocks, as well as Wiener Chaos Expansions and other spectral approaches. The author's statistical trading strategy has been expanded with more in-depth discussion, and the companion website offers new topical insight, additional models, and extra charts that delve into the profitability of applied model calibration. You'll find a more precise approach to the classical time series and financial econometrics evaluation, with expert advice on turning data into profit. Financial markets do not always behave according to a normal bell curve. Skewness creates uncertainty and surprises, and tarnishes trading performance, but it's not going away. This book shows traders how to work with skewness: how to predict it, estimate its impact, and determine whether the data is presenting a warning to stay away or an opportunity for profit. Base volatility estimations on more accurate data Integrate past observation with Bayesian probability Exploit posterior distribution of the hidden state for optimal estimation Boost trade profitability by utilizing «skewness» opportunities Wall Street is constantly searching for volatility assessment methods that will make their models more accurate, but precise handling of skewness is the key to true accuracy. Inside Volatility Filtering shows you a better way to approach non-normal distributions for more accurate volatility estimation.
Bangjun Lei Classification, Parameter Estimation and State Estimation. An Engineering Approach Using MATLAB Bangjun Lei Classification, Parameter Estimation and State Estimation. An Engineering Approach Using MATLAB Новинка

Bangjun Lei Classification, Parameter Estimation and State Estimation. An Engineering Approach Using MATLAB

9831.26 руб. или Купить в рассрочку!
A practical introduction to intelligent computer vision theory, design, implementation, and technology The past decade has witnessed epic growth in image processing and intelligent computer vision technology. Advancements in machine learning methods—especially among adaboost varieties and particle filtering methods—have made machine learning in intelligent computer vision more accurate and reliable than ever before. The need for expert coverage of the state of the art in this burgeoning field has never been greater, and this book satisfies that need. Fully updated and extensively revised, this 2nd Edition of the popular guide provides designers, data analysts, researchers and advanced post-graduates with a fundamental yet wholly practical introduction to intelligent computer vision. The authors walk you through the basics of computer vision, past and present, and they explore the more subtle intricacies of intelligent computer vision, with an emphasis on intelligent measurement systems. Using many timely, real-world examples, they explain and vividly demonstrate the latest developments in image and video processing techniques and technologies for machine learning in computer vision systems, including: PRTools5 software for MATLAB—especially the latest representation and generalization software toolbox for PRTools5 Machine learning applications for computer vision, with detailed discussions of contemporary state estimation techniques vs older content of particle filter methods The latest techniques for classification and supervised learning, with an emphasis on Neural Network, Genetic State Estimation and other particle filter and AI state estimation methods All new coverage of the Adaboost and its implementation in PRTools5. A valuable working resource for professionals and an excellent introduction for advanced-level students, this 2nd Edition features a wealth of illustrative examples, ranging from basic techniques to advanced intelligent computer vision system implementations. Additional examples and tutorials, as well as a question and solution forum, can be found on a companion website.
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Контактные линзы Johnson&Johnson 1-Day Acuvue Oasys with Hydraluxe с оптической силой -1 D рассчитаны на период ношения до одного дня. Технология Hydraluxe придает контактным линзам свойства слезы, что способствует стабилизации слезной пленки и предотвращению ощущения сухости и усталости глаз даже при повышенной зрительной нагрузке.
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Huamin Zhou Computer Modeling for Injection Molding. Simulation, Optimization, and Control Huamin Zhou Computer Modeling for Injection Molding. Simulation, Optimization, and Control Новинка

Huamin Zhou Computer Modeling for Injection Molding. Simulation, Optimization, and Control

11342.93 руб. или Купить в рассрочку!
This book covers a wide range of applications and uses of simulation and modeling techniques in polymer injection molding, filling a noticeable gap in the literature of design, manufacturing, and the use of plastics injection molding. The authors help readers solve problems in the advanced control, simulation, monitoring, and optimization of injection molding processes. The book provides a tool for researchers and engineers to calculate the mold filling, optimization of processing control, and quality estimation before prototype molding.
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Контактные линзы Johnson&Johnson 1-Day Acuvue Oasys with Hydraluxe с оптической силой -1 D рассчитаны на период ношения до одного дня. Технология Hydraluxe придает контактным линзам свойства слезы, что способствует стабилизации слезной пленки и предотвращению ощущения сухости и усталости глаз даже при повышенной зрительной нагрузке.
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Контактные линзы Johnson&Johnson 1-Day Acuvue Oasys with Hydraluxe с оптической силой -1 D рассчитаны на период ношения до одного дня. Технология Hydraluxe придает контактным линзам свойства слезы, что способствует стабилизации слезной пленки и предотвращению ощущения сухости и усталости глаз даже при повышенной зрительной нагрузке.
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Контактные линзы Johnson&Johnson 1-Day Acuvue Oasys with Hydraluxe с оптической силой -1 D рассчитаны на период ношения до одного дня. Технология Hydraluxe придает контактным линзам свойства слезы, что способствует стабилизации слезной пленки и предотвращению ощущения сухости и усталости глаз даже при повышенной зрительной нагрузке.

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A comprehensive reference giving a thorough explanation of propagation mechanisms, channel characteristics results, measurement approaches and the modelling of channels Thoroughly covering channel characteristics and parameters, this book provides the knowledge needed to design various wireless systems, such as cellular communication systems, RFID and ad hoc wireless communication systems. It gives a detailed introduction to aspects of channels before presenting the novel estimation and modelling techniques which can be used to achieve accurate models. To systematically guide readers through the topic, the book is organised in three distinct parts. The first part covers the fundamentals of the characterization of propagation channels, including the conventional single-input single-output (SISO) propagation channel characterization as well as its extension to multiple-input multiple-output (MIMO) cases. Part two focuses on channel measurements and channel data post-processing. Wideband channel measurements are introduced, including the equipment, technology and advantages and disadvantages of different data acquisition schemes. The channel parameter estimation methods are then presented, which include conventional spectral-based estimation, the specular-path-model based high-resolution method, and the newly derived power spectrum estimation methods. Measurement results are used to compare the performance of the different estimation methods. The third part gives a complete introduction to different modelling approaches. Among them, both scattering theoretical channel modelling and measurement-based channel modelling approaches are detailed. This part also approaches how to utilize these two modelling approaches to investigate wireless channels for conventional cellular systems and some new emerging communication systems. This three-part approach means the book caters for the requirements of the audiences at different levels, including readers needing introductory knowledge, engineers who are looking for more advanced understanding, and expert researchers in wireless system design as a reference. Presents technical explanations, illustrated with examples of the theory in practice Discusses results applied to 4G communication systems and other emerging communication systems, such as relay, CoMP, and vehicle-to-vehicle rapid time-variant channels Can be used as comprehensive tutorial for students or a complete reference for engineers in industry Includes selected illustrations in color Program downloads available for readers Companion website with program downloads for readers and presentation slides and solution manual for instructors Essential reading for Graduate students and researchers interested in the characteristics of propagation channel, or who work in areas related to physical layer architectures, air interfaces, navigation, and wireless sensing
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