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Filing Patents Online: A Professional Guide
by Sarfaraz K. NiaziThe average cost of an uncomplicated patent application filing is about $10,000. This high cost can leave thousands of inventors out in the cold. Filing Patents Online: A Professional Guide is a complete manual that walks inventors through each step of filing and prosecuting the patent online at a fraction of the cost. The online filing system reco
Filled Elastomers Drug Delivery Systems (Advances in Polymer Science #160)
by M. Arora G. Carlesso J. M. Davidson A. J. Domb G. Heinrich M. Klüppel E. Kozlov M.N.V. Ravi Kumar A. Prokop-
Filler-Reinforced Elastomers Scanning Force Microscopy: (pdf) (Advances in Polymer Science #164)
by B. Cappella M. Geuss M. Klüppel M. Munz E. Schulz H. SturmFilm Deposition by Plasma Techniques (Springer Series on Atomic, Optical, and Plasma Physics #10)
by Mitsuharu KonumaProperties of thin films depend strongly upon the deposition technique and conditions chosen. In order to achieve the desired film, optimum deposition conditions have to be found by carrying out experiments in a trial-and error fashion with varying parameters. The data obtained on one growth apparatus are often not transferable to another. This is especially true for film deposition processes using a cold plasma because of our poor under standing of the mechanisms. Relatively precise studies have been carried out on the role that physical effects play in film formation such as sputter deposition. However, there are many open questions regarding processes that involve chemical reactions, for example, reactive sputter deposition or plasma enhanced chemical vapor deposition. Much further research is re quired in order to understand the fundamental deposition processes. A sys tematic collection of basic data, some of which may be readily available in other branches of science, for example, reaction cross sections for gases with energetic electrons, is also required. The need for pfasma deposition techniques is felt strongly in industrial applications because these techniques are superior to traditional thin-film deposition techniques in many ways. In fact, plasma deposition techniques have developed rapidly in the semiconductor and electronics industries. Fields of possible application are still expanding. A reliable plasma reactor with an adequate in situ system for monitoring the deposition conditions and film properties must be developed to improve reproducibility and pro ductivity at the industrial level.
The Film Experience: An Introduction (5th Edition) (PDF)
by Timothy Corrigan Patricia WhiteThe new edition of this popular textbook offers a fresh approach to the study of film, combining print and digital media to enhance the learning experience. The Film Experience enables students to link their personal experiences of watching movies to a greater overall understanding of the medium's full scope, covering everything from editing to cinematography to narrative genres. The Film Experience can also be purchased with the breakthrough online resource, LaunchPad, which offers innovative media content, curated and organised for easy assignability. LaunchPad's intuitive interface presents quizzing, flashcards, animations and much more to make learning actively engaging.
Film Remakes
by NA NAThis is the first book to provide a comprehensive and systematic account of the phenomenon of cinematic remaking. Drawing upon recent theories of genre and intertextuality, Film Remakes describes remaking as both an elastic concept and a complex situation, one enabled and limited by the interrelated roles and practices of industry, critics, and audiences. This approach to remaking is developed across three broad sections: the first deals with issues of production, including commerce and authors; the second considers genre, plots, and structures; and the third investigates issues of reception, including audiences and institutions.
Filter Banks and Audio Coding: Compressing Audio Signals Using Python
by Gerald SchullerThis textbook presents the fundamentals of audio coding, used to compress audio and music signals, using Python programs both as examples to illustrate the principles and for experiments for the reader. Together, these programs then form complete audio coders. The author starts with basic knowledge of digital signal processing (sampling, filtering) to give a thorough introduction to filter banks as used in audio coding, and their design methods. He then continues with the next core component, which are psycho-acoustic models. The author finally shows how to design and implement them. Lastly, the author goes on to describe components for more specialized coders, like the Integer-to-Integer MDCT filter bank, and predictive coding for lossless and low delay coding. Included are Python program examples for each section, which illustrate the principles and provide the tools for experiments.Comprehensively explains the fundamentals of filter banks and audio coding;Provides Python examples for each principle so that completed audio coders are obtained in the language;Includes a suite of classroom materials including exercises, experiments, and examples.
Filter-Based Fault Diagnosis and Remaining Useful Life Prediction
by Yong Zhang Zidong Wang Ye YuanThis book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.
Filter-Based Fault Diagnosis and Remaining Useful Life Prediction
by Yong Zhang Zidong Wang Ye YuanThis book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.
Filter Design for System Modeling, State Estimation and Fault Diagnosis
by Ziyun Wang Yan Wang Zhicheng JiFilter Design for System Modeling, State Estimation and Fault Diagnosis analyzes the latest methods in the design of filters for system modeling, state estimation and fault detection with the intention of providing a new perspective of both theoretical and practical aspects.This book also includes fault diagnosis techniques for unknown but bounded systems, their real applications on modeling and fault diagnosis for lithium battery systems, DC-DC converters and spring damping systems. It proposes new methods based on zonotopic Kalman filtering, a variety of state estimation methods of zonotope and its derived algorithms, a state estimation method based on convex space, set inversion interval observer filtering-based guaranteed fault estimation and a novel interval observer filtering-based fault diagnosis. The methods presented in this text are more practical than the common probabilistic-based algorithms, since these can be applied in unknown but bounded noisy environments. This book will be an essential read for students, scholars and engineering professionals who are interested in filter design, system modeling, state estimation, fault diagnosis and related fields.
Filter Design for System Modeling, State Estimation and Fault Diagnosis
by Ziyun Wang Yan Wang Zhicheng JiFilter Design for System Modeling, State Estimation and Fault Diagnosis analyzes the latest methods in the design of filters for system modeling, state estimation and fault detection with the intention of providing a new perspective of both theoretical and practical aspects.This book also includes fault diagnosis techniques for unknown but bounded systems, their real applications on modeling and fault diagnosis for lithium battery systems, DC-DC converters and spring damping systems. It proposes new methods based on zonotopic Kalman filtering, a variety of state estimation methods of zonotope and its derived algorithms, a state estimation method based on convex space, set inversion interval observer filtering-based guaranteed fault estimation and a novel interval observer filtering-based fault diagnosis. The methods presented in this text are more practical than the common probabilistic-based algorithms, since these can be applied in unknown but bounded noisy environments. This book will be an essential read for students, scholars and engineering professionals who are interested in filter design, system modeling, state estimation, fault diagnosis and related fields.
Filter Design With Time Domain Mask Constraints: Theory and Applications (Applied Optimization #56)
by Ba-Ngu Vo Antonio Cantoni Kok Lay TeoOptimum envelope-constrained filter design is concerned with time-domain synthesis of a filter such that its response to a specific input signal stays within prescribed upper and lower bounds, while minimizing the impact of input noise on the filter output or the impact of the shaped signal on other systems depending on the application. In many practical applications, such as in TV channel equalization, digital transmission, and pulse compression applied to radar, sonar and detection, the soft least square approach, which attempts to match the output waveform with a specific desired pulse, is not the most suitable one. Instead, it becomes necessary to ensure that the response stays within the hard envelope constraints defined by a set of continuous inequality constraints. The main advantage of using the hard envelope-constrained filter formulation is that it admits a whole set of allowable outputs. From this set one can then choose the one which results in the minimization of a cost function appropriate to the application at hand. The signal shaping problems so formulated are semi-infinite optimization problems. This monograph presents in a unified manner results that have been generated over the past several years and are scattered in the research literature. The material covered in the monograph includes problem formulation, numerical optimization algorithms, filter robustness issues and practical examples of the application of envelope constrained filter design. Audience: Postgraduate students, researchers in optimization and telecommunications engineering, and applied mathematicians.
Filterbänke und Audiocodierung: Komprimierung von Audiosignalen mit Python
by Gerald SchullerDieses Lehrbuch stellt die Grundlagen der Audiocodierung vor, die zur Komprimierung von Audio- und Musiksignalen verwendet wird. Dabei werden Python-Programme sowohl als Beispiele zur Veranschaulichung der Prinzipien als auch für Experimente für den Leser verwendet. Zusammen bilden diese Programme dann komplette Audiocodierer. Der Autor beginnt mit grundlegenden Kenntnissen der digitalen Signalverarbeitung (Abtastung, Filterung), um eine gründliche Einführung in Filterbänke, wie sie in der Audiocodierung verwendet werden, und deren Entwurfsmethoden zu geben. Er fährt dann mit der nächsten Kernkomponente fort, den psycho-akustischen Modellen. Der Autor zeigt schließlich, wie man sie entwirft und implementiert. Schließlich beschreibt der Autor Komponenten für speziellere Kodierer, wie die Integer-to-Integer MDCT-Filterbank und prädiktive Kodierung für verlustfreie und verzögerungsarme Kodierung. Zu jedem Abschnitt gibt es Python-Programmbeispiele, die die Prinzipien veranschaulichen und die Werkzeuge für Experimente bereitstellen. Umfassende Erläuterung der Grundlagen von Filterbänken und Audiocodierung; Bietet Python-Beispiele für jedes Prinzip, so dass fertige Audiocodierer in der Sprache erhalten werden; Enthält eine Reihe von Unterrichtsmaterialien mit Übungen, Experimenten und Beispielen.
Filtered Repetitive Control with Nonlinear Systems
by Quan Quan Kai-Yuan CaiThough there have been significant advances in the theory and applications of linear time-invariant systems, developments regarding repetitive control have been sporadic. At the same time, there is a dearth of literature on repetitive control (RC) for nonlinear systems.Addressing that gap, this book discusses a range of basic methods for solving RC problems in nonlinear systems, including two commonly used methods and three original ones. Providing valuable tools for researchers working on the development of repetitive control, these new and fundamental methods are one of the major features of the book, which will benefit researchers, engineers, and graduate students in e.g. the field of control theory.
Filtering and Control for Classes of Two-Dimensional Systems (Studies in Systems, Decision and Control #18)
by Ligang Wu Zidong WangThis book focuses on filtering, control and model-reduction problems for two-dimensional (2-D) systems with imperfect information. The time-delayed 2-D systems covered have system parameters subject to uncertain, stochastic and parameter-varying changes.After an initial introduction of 2-D systems and the ideas of linear repetitive processes, the text is divided into two parts detailing:· General theory and methods of analysis and optimal synthesis for 2-D systems; and· Application of the general theory to the particular case of differential/discrete linear repetitive processes.The methods developed provide a framework for stability and performance analysis, optimal and robust controller and filter design and model approximation for the systems considered. Solutions to the design problems are couched in terms of linear matrix inequalities.For readers interested in the state of the art in linear filtering, control and model reduction, Filtering and Control for Classes of Two-Dimensional Systems will be a useful reference for exploring the field of 2-D systems either from a purely theoretical research perspective or from the point of view of a multitude of potential applications including image processing, and the study of seismographic data or thermal processes.
Filtering and Control of Stochastic Jump Hybrid Systems (Studies in Systems, Decision and Control #58)
by Xiuming Yao Ligang Wu Wei Xing ZhengThis book presents recent research work on stochastic jump hybrid systems. Specifically, the considered stochastic jump hybrid systems include Markovian jump Ito stochastic systems, Markovian jump linear-parameter-varying (LPV) systems, Markovian jump singular systems, Markovian jump two-dimensional (2-D) systems, and Markovian jump repeated scalar nonlinear systems. Some sufficient conditions are first established respectively for the stability and performances of those kinds of stochastic jump hybrid systems in terms of solution of linear matrix inequalities (LMIs). Based on the derived analysis conditions, the filtering and control problems are addressed.The book presents up-to-date research developments and novel methodologies on stochastic jump hybrid systems. The contents can be divided into two parts: the first part is focused on robust filter design problem, while the second part is put the emphasis on robust control problem. These methodologies provide a framework for stability and performance analysis, robust controller design, and robust filter design for the considered systems. Solutions to the design problems are presented in terms of LMIs.The book is a timely reflection of the developing area of filtering and control theories for Markovian jump hybrid systems with various kinds of imperfect information. It is a collection of a series of latest research results and therefore serves as a useful textbook for senior and/or graduate students who are interested in knowing 1) the state-of-the-art of linear filtering and control areas, and 2) recent advances in stochastic jump hybrid systems. The readers will also benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.
Filtering and Control of Wireless Networked Systems: Frequency Analysis Of Periodic Motion Stability (Studies in Systems, Decision and Control #97)
by Dan Zhang Qing-Guo Wang Li YuThis self-contained book, written by leading experts, offers a cutting-edge, in-depth overview of the filtering and control of wireless networked systems. It addresses the energy constraint and filter/controller gain variation problems, and presents both the centralized and the distributed solutions. The first two chapters provide an introduction to networked control systems and basic information on system analysis. Chapters (3–6) then discuss the centralized filtering of wireless networked systems, presenting different approaches to deal with energy efficiency and filter/controller gain variation problems. The next part (chapters 7–10) explores the distributed filtering of wireless networked systems, addressing the main problems of energy constraint and filter gain variation. The final part (chapters 11–14) focuses on the distributed control of wireless networked systems. In view of the rapid deployment and development of wireless networked systems for communication and control applications, the book represents a timely contribution and provides valuable insights, useful methods and effective algorithms for the analysis and design of wireless networked control systems. It is a valuable resource for researchers in the control and communication communities
Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information
by Hongli Dong Zidong Wang Huijun GaoIn the context of systems and control, incomplete information refers to a dynamical system in which knowledge about the system states is limited due to the difficulties in modelling complexity in a quantitative way. The well-known types of incomplete information include parameter uncertainties and norm-bounded nonlinearities. Recently, in response to the development of network technologies, the phenomenon of randomly occurring incomplete information has become more and more prevalent. Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information reflects the state-of-the-art of the research area for handling randomly occurring incomplete information from three interrelated aspects of control, filtering and fault detection. Recent advances in networked control systems and distributed filtering over sensor networks are covered, and application potential in mobile robotics is also considered. The reader will benefit from the introduction of new concepts, new models and new methodologies with practical significance in control engineering and signal processing. Key Features: Establishes a unified framework for filtering, control and fault detection problem for various discrete-time nonlinear stochastic systems with randomly occurring incomplete information Investigates several new concepts for randomly occurring phenomena and proposes a new system model to better describe network-induced problems Demonstrates how newly developed techniques can handle emerging mathematical and computational challenges Contains the latest research results Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information provides a unified yet neat framework for control/filtering/fault-detection with randomly occurring incomplete information. It is a comprehensive textbook for graduate students and is also a useful practical research reference for engineers dealing with control, filtering and fault detection problems for networked systems.
Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information
by Hongli Dong Zidong Wang Huijun GaoIn the context of systems and control, incomplete information refers to a dynamical system in which knowledge about the system states is limited due to the difficulties in modelling complexity in a quantitative way. The well-known types of incomplete information include parameter uncertainties and norm-bounded nonlinearities. Recently, in response to the development of network technologies, the phenomenon of randomly occurring incomplete information has become more and more prevalent. Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information reflects the state-of-the-art of the research area for handling randomly occurring incomplete information from three interrelated aspects of control, filtering and fault detection. Recent advances in networked control systems and distributed filtering over sensor networks are covered, and application potential in mobile robotics is also considered. The reader will benefit from the introduction of new concepts, new models and new methodologies with practical significance in control engineering and signal processing. Key Features: Establishes a unified framework for filtering, control and fault detection problem for various discrete-time nonlinear stochastic systems with randomly occurring incomplete information Investigates several new concepts for randomly occurring phenomena and proposes a new system model to better describe network-induced problems Demonstrates how newly developed techniques can handle emerging mathematical and computational challenges Contains the latest research results Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information provides a unified yet neat framework for control/filtering/fault-detection with randomly occurring incomplete information. It is a comprehensive textbook for graduate students and is also a useful practical research reference for engineers dealing with control, filtering and fault detection problems for networked systems.
Filtering Techniques for Turbulent Flow Simulation (Lecture Notes in Engineering #56)
by Alvaro A. Aldama1. 1 Scope of the Study The detailed and reasonably accurate computation of large scale turbulent flows has become increasingly important in geophysical and engi neering applications in recent years. The definition of water quality management policies for reservoirs, lakes, estuaries, and coastal waters, as well as the design of cooling ponds and solar ponds, requires an ade quate quantitative description of turbulent flows. When the diffusion of some tracer (be it active, such as temperature or salinity, or passive, such as dissolved oxygen) is of relevance to a specific application, the proper determination of the effects of turbulent transport processes has paramount importance. Thus, for instance, the proper understanding of lake and reservoir dynamics requires, as a first step, the ability to simulate turbulent flows. Applications in other areas of geophysical research, such as meteorology and oceanography are easily identified and large in number. It should be stressed that, in this context, the analyst seeks predictive ability to a certain extent. Accordingly, the need for simulation models that closely resemble the natural processes to be repre sented has recently become more evident. Since the late 1960s considerable effort has been devoted to the development of models for the simulation of complex turbulent flows. This has resulted in the establishment of two approaches which have been, or 2 have the potential for being, applied to problems of engineering and geophysical interest.
Filtering Theory: With Applications to Fault Detection, Isolation, and Estimation (Systems & Control: Foundations & Applications)
by Ali Saberi Anton A. Stoorvogel Peddapullaiah SannutiAuthors are experts in the field and have published books as well as articles in first-rate journals Comprehensive resource that contains many MATLAB-based examples
Filtern und Pressen zum Trennen von Flüssigkeiten und Festen Stoffen (Chemische Technologie in Einzeldarstellungen)
by Friedrich Adolf BühlerDieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind. Der Verlag stellt mit diesem Archiv Quellen für die historische wie auch die disziplingeschichtliche Forschung zur Verfügung, die jeweils im historischen Kontext betrachtet werden müssen. Dieser Titel erschien in der Zeit vor 1945 und wird daher in seiner zeittypischen politisch-ideologischen Ausrichtung vom Verlag nicht beworben.
Filternde Zerlegungen: Schnelle Löser für große Gleichungssysteme (Teubner Skripten zur Numerik)
by Gabriel WittumFin-Shape Thermal Optimization Using Bejan's Constuctal Theory (Synthesis Lectures on Engineering)
by Giulio Lorenzini Simone Moretti Alessandra ContiThe book contains research results obtained by applying Bejan's Constructal Theory to the study and therefore the optimization of fins, focusing on T-shaped and Y-shaped ones. Heat transfer from finned surfaces is an example of combined heat transfer natural or forced convection on the external parts of the fin, and conducting along the fin. Fin's heat exchange is rather complex, because of variation of both temperature along the fin and convective heat transfer coefficient. Furthermore possible presence of more fins invested by the same fluid flow has to be considered. Classical fin theory tried to reduce the coupled heat transfer problem to a one-dimensional problem by defining an average temperature of the fin and writing equations using this parameter. However, it was shown that this approach cannot be used because of the effects of two-dimensional heat transfer, especially in the presence of short fins. CFD codes offer the possibility to consider bi-dimensional (and more generally, three-dimensional) effects and then a more real approach to the physic phenomena of finned surface's heat exchange. A commercial CFD code was used to analyse the case of heat exchange in presence of T-shaped fins, following an approach suggested by Bejan's Constructal Theory. The comparative results showed a significant agreement with previous research taken as a reference, and this result allows for the application of this approach to a wider range of systems. T-shaped optimized fin geometry is the starting point for further research. Starting from the optimal results (T-shape optimized fins), we show the trend of the assessment parameter (the dimensionless conductance) in function of the angle a between the two horizontal arms of the fin. A value for a, 90° < a < 180° capable of a higher value of the dimensionless conductance, has not been found. The thermal efficiency showed a significant increase of this parameter, especially for values of a smaller than 100°. Thus, a new definition of optimisation is achieved by introducing the fundamental ""space factor."" The present work unifies the ""classic"" definitions of optimisation and efficiency in a new general performance criterion, opening a new perspective on multi-fin systems. The last chapter deals with a brief overview on Bejan's Constructal Theory. It explains either tree-shape natural flows or other geometric form in nature and engineering, applying the principle of performance maximization. The Constructal principle also recognizes that a new good form comes to another previous good form which serve the same objective and have the same constraints. Changes in configuration are dynamic, thus a time arrow is then associated to the evolution in system's configuration. Table of Contents: General Introduction / General Overview on Heat Transfer / Conservation Equations / Dimensionless group / Units and conversion factors / Overview of heat transfer on extended surfaces / State of the art in the T-Shaped Fins / Thermal exchange basis / T-Shaped fins / Y-Shaped fins / Modular systems of Y-Shaped fins / Heat removal vs Pressure drops / Conclusions
The Final Nail (A Fabian Risk Thriller)
by Stefan Ahnhem'Breathlessly suspenseful, ingeniously plotted and impossible to put down' Yrsa Sigurdardottir The epic, explosive Fabian Risk series concludes with this action-packed thriller from international number one bestseller Stefan Ahnhem.He has extorted. He has abused. He has raped. He has sacrificed colleagues as a means to reach the top. His name is Kim Sleizner – and he works as a police chief in Copenhagen.Dunja Hougaard used to work for Sleizner. Then she left the police force, traumatised by what he put her through. Dunja is determined to get revenge on her former boss – no matter how untouchable he appears. Now she's gone underground to investigate his past, and bring his crimes to the attention of the world.When a high-ranking Danish intelligence officer and an unknown woman are found dead at the bottom of a lake outside Copenhagen, Dunja seizes her moment to set a trap for Sleizner. But then, just as it seems her case is solved, on the other side of the strait in Helsingborg, Sweden, detective Fabian Risk receives a message that changes everything...Praise for The Final Nail:'This is a must for Scandinoir fans.' Publishers Weekly 'Stefan Ahnhem writes so damn well, it's as simple as that.' Katrine Engberg 'Holds his readers in a vice-like grip.' Jens Henrik Jensen '100% thrills guaranteed.' Michael Katz KrefeldPraise for Stefan Ahnhem:'Atmospheric and complicated... with great cop characters and some imaginatively grisly perps.' Sunday Times 'Grips like a vice.' Irish Independent 'Epic in scale and ambition.' Daily Mail 'More gripping than Jo Nesbo.' Tony Parsons