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Random Noise: Measuring Your Company's Safety Performance (The Business, Management and Safety Effects of Neoliberalism)
by Sidney Dekker Georgina PooleIn the realm of safety management, this book embarks on a profound exploration of how the political economy was reshaped in the last two decades. Much like privatization, deregulation, and financialization altered the economic landscape, this narrative unveils how safety management has been affected by the intertwined dynamics of asset underinvestment, privatization, self-regulation, workplace flexibilization, and market-driven policies.This book, the second installment of a thought-provoking trilogy on the consequences of neoliberalism, mirrors the political economy's promotion of the private sector's role in the economy. Just as neoliberalism amplified and accelerated the mechanisms of human-made disasters in complex systems, this narrative lays bare the heightened potential for safety misfortunes when governed by market-driven principles.As the story unfolds, the book delves into the concept of 'synoptic legibility' in safety management, akin to how the political economy distilled its essence into privatization and deregulation. The authors scrutinize the consequences of translating safety measures into rigid targets, unveiling how this shift can distort the integrity of safety metrics and inadvertently harm individuals. Drawing parallels with historical blunders such as England's window tax, the book contemplates the precarious nature of equating simplified metrics with safety achievements. Much like the political economy's 'acceptable risk' renegotiations, it examines how the pursuit of safety through metrics and surveillance can lead to 'manufactured insecurity,' eroding trust, autonomy, and professionalism.In Random Noise, Poole and Dekker extend this reach once again, writing for all managers, board members, organization leaders, consultants, practitioners, researchers, lecturers, students, and investigators curious to understand the genuine nature of organizational and safety performance.
Random Non-Random Periodic Fau
by M. T. Sebastian P. KrishnaThis book provides a comprehensive overview of stacking faults in crystal structures. Subjects covered include: notations used in representations of close-packed structures; types of faults; methods of detection and measurement such as X-ray diffraction, electron diffraction and other techniques; theoretical models of non-random faulting during phase transitions; specific examples of - close packed structures including, zinc sulphide, silicon carbide and silver iodide.
Random Number Generators: Verilog Description, Hardware Implementation and Applications
by Esteban Tlelo-Cuautle Luis Gerardo de la Fraga José David Rodríguez-MuñozThis book discusses the details of random number generation (RNG) as a key technology that is used for information security in various fields, such as electronic commerce and authentication. Readers will see how random numbers are used in various applications such as in the generation of keys for data encryption, games, lotteries, sampling, simulations, statistical sampling, search/sort algorithms, and gambling. The authors describe how the classification of RNGs encompasses linear and nonlinear (chaotic) pseudo and truly random number generators, and how they can be evaluated by applying statistical tests. Covers a vast array of special topics on fractional-order chaotic circuits and systems to develop applications in information security; Describes details of using FPGAs to approach chaotic maps and fractional-order circuits and systems for hardware security; Includes Verilog hardware description for random number generation.
Random Phenomena: Fundamentals of Probability and Statistics for Engineers
by Babatunde A. OgunnaikeMany of the problems that engineers face involve randomly varying phenomena of one sort or another. However, if characterized properly, even such randomness and the resulting uncertainty are subject to rigorous mathematical analysis. Taking into account the uniquely multidisciplinary demands of 21st-century science and engineering, Random Phenomena
Random Processes for Engineers
by Bruce HajekThis engaging introduction to random processes provides students with the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. A brief review of probability theory and real analysis of deterministic functions sets the stage for understanding random processes, whilst the underlying measure theoretic notions are explained in an intuitive, straightforward style. Students will learn to manage the complexity of randomness through the use of simple classes of random processes, statistical means and correlations, asymptotic analysis, sampling, and effective algorithms. Key topics covered include: - Calculus of random processes in linear systems - Kalman and Wiener filtering - Hidden Markov models for statistical inference - The estimation maximization (EM) algorithm - An introduction to martingales and concentration inequalities. Understanding of the key concepts is reinforced through over 100 worked examples and 300 thoroughly tested homework problems (half of which are solved in detail at the end of the book).
Random Processes for Engineers: A Primer
by Arthur David SniderThis book offers an intuitive approach to random processes and educates the reader on how to interpret and predict their behavior. Premised on the idea that new techniques are best introduced by specific, low-dimensional examples, the mathematical exposition is easier to comprehend and more enjoyable, and it motivates the subsequent generalizations. It distinguishes between the science of extracting statistical information from raw data--e.g., a time series about which nothing is known a priori--and that of analyzing specific statistical models, such as Bernoulli trials, Poisson queues, ARMA, and Markov processes. The former motivates the concepts of statistical spectral analysis (such as the Wiener-Khintchine theory), and the latter applies and interprets them in specific physical contexts. The formidable Kalman filter is introduced in a simple scalar context, where its basic strategy is transparent, and gradually extended to the full-blown iterative matrix form.
Random Processes with Applications to Circuits and Communications
by Bernard C. LevyThis textbook is based on 20 years of teaching a graduate-level course in random processes to a constituency extending beyond signal processing, communications, control, and networking, and including in particular circuits, RF and optics graduate students. In order to accommodate today’s circuits students’ needs to understand noise modeling, while covering classical material on Brownian motion, Poisson processes, and power spectral densities, the author has inserted discussions of thermal noise, shot noise, quantization noise and oscillator phase noise. At the same time, techniques used to analyze modulated communications and radar signals, such as the baseband representation of bandpass random signals, or the computation of power spectral densities of a wide variety of modulated signals, are presented. This book also emphasizes modeling skills, primarily through the inclusion of long problems at the end of each chapter, where starting from a description of the operation of a system, a model is constructed and then analyzed. Provides semester-length coverage of random processes, applicable to the analysis of electrical and computer engineering systems; Designed to be accessible to students with varying backgrounds in undergraduate mathematics and engineering; Includes solved examples throughout the discussion, as well as extensive problem sets at the end of every chapter; Develops and reinforces student’s modeling skills, with inclusion of modeling problems in every chapter; Solutions for instructors included.
Random Regret-based Discrete Choice Modeling: A Tutorial
by Caspar G. ChorusThis tutorial presents a hands-on introduction to a new discrete choice modeling approach based on the behavioral notion of regret-minimization. This so-called Random Regret Minimization-approach (RRM) forms a counterpart of the Random Utility Maximization-approach (RUM) to discrete choice modeling, which has for decades dominated the field of choice modeling and adjacent fields such as transportation, marketing and environmental economics. Being as parsimonious as conventional RUM-models and compatible with popular software packages, the RRM-approach provides an alternative and appealing account of choice behavior. Rather than providing highly technical discussions as usually encountered in scholarly journals, this tutorial aims to allow readers to explore the RRM-approach and its potential and limitations hands-on and based on a detailed discussion of examples. This tutorial is written for students, scholars and practitioners who have a basic background in choice modeling in general and RUM-modeling in particular. It has been taken care of that all concepts and results should be clear to readers that do not have an advanced knowledge of econometrics.
Random Signal Processing
by Shaila Dinkar ApteThis book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral density and power spectral density. The properties of random processes and signal modelling are discussed with basic communication theory estimation and detection. MATLAB simulations are included for each concept with output of the program with case studies and project ideas. The chapters progressively introduce and explain the concepts of random signals and cover multiple applications for signal processing. The book is designed to cater to a wide audience starting from the undergraduates (electronics, electrical, instrumentation, computer, and telecommunication engineering) to the researchers working in the pertinent fields. <P><P> Key Features: <li>Aimed at random signal processing with parametric signal processing-using appropriate segment size. <li>Covers speech, image, medical images, EEG and ECG signal processing. <li> Reviews optimal detection and estimation. <li>Discusses parametric modeling and signal processing in transform domain. <li>Includes MATLAB codes and relevant exercises, case studies and solved examples including multiple choice questions
Random Signals and Noise: A Mathematical Introduction
by Shlomo EngelbergUnderstanding the nature of random signals and noise is critically important for detecting signals and for reducing and minimizing the effects of noise in applications such as communications and control systems. Outlining a variety of techniques and explaining when and how to use them, Random Signals and Noise: A Mathematical Introduction focuses on applications and practical problem solving rather than probability theory.A Firm FoundationBefore launching into the particulars of random signals and noise, the author outlines the elements of probability that are used throughout the book and includes an appendix on the relevant aspects of linear algebra. He offers a careful treatment of Lagrange multipliers and the Fourier transform, as well as the basics of stochastic processes, estimation, matched filtering, the Wiener-Khinchin theorem and its applications, the Schottky and Nyquist formulas, and physical sources of noise.Practical Tools for Modern ProblemsAlong with these traditional topics, the book includes a chapter devoted to spread spectrum techniques. It also demonstrates the use of MATLAB® for solving complicated problems in a short amount of time while still building a sound knowledge of the underlying principles.A self-contained primer for solving real problems, Random Signals and Noise presents a complete set of tools and offers guidance on their effective application.
Random Signals and Processes Primer with MATLAB
by Gordana Jovanovic DolecekThis book provides anyone needing a primer on random signals and processes with a highly accessible introduction to these topics. It assumes a minimal amount of mathematical background and focuses on concepts, related terms and interesting applications to a variety of fields. All of this is motivated by numerous examples implemented with MATLAB, as well as a variety of exercises at the end of each chapter.
Random Testing of Digital Circuits: Theory and Applications
by Rene David"Introduces a theory of random testing in digital circuits for the first time and offers practical guidance for the implementation of random pattern generators, signature analyzers design for random testability, and testing results. Contains several new and unpublished results. "
Random Vibration: Mechanical, Structural, and Earthquake Engineering Applications (Advances in Earthquake Engineering)
by Zach Liang George C. LeeFocuses on the Basic Methodologies Needed to Handle Random ProcessesAfter determining that most textbooks on random vibrations are mathematically intensive and often too difficult for students to fully digest in a single course, the authors of Random Vibration: Mechanical, Structural, and Earthquake Engineering Applications decided to revise the cu
Random Vibration: Random Vibration (Iste Ser. #Volume 3)
by Christi LalanneThe vast majority of vibrations Encountered in the real Environment are random in nature. Such vibrations are intrinsically complicated, and this volume describes the Enabling process for simplification of the analysis required. and the analysis of the signal in the frequency domain. Power spectrum density is also defined, with the requisite precautions to be taken in its calculation described together with the processes (windowing. overlapping) necessary for improved results. A further complementary method, the analysis of statistical properties of the time signal. is described. This enables the distribution law of the maxima of a random Gaussian signal to be determined and simplifies calculation of fatigue damage to be made by the avoidance of the direct counting of peaks.
Random Vibrations: Theory and Applications
by Yingguang WangRandom Vibrations: Theory and Applications investigates methods and theories involved in random vibration analyses of linear and nonlinear systems, as well as in predicting random vibration induced failures.This book is a lucid and well-paced introduction to random vibrations, superbly motivated and illustrated through a wealth of convincing applications in various engineering fields. The strong points of the book are its coverage of weakly stationary and ergodic random processes, spectral analysis of random processes, mode displacement superposition method, equivalent linearization technique for nonlinear random vibrations and an updated definition of rain flow cycle for fatigue analysis. Particularly appealing features of the book are its numerous examples and end-of-chapter exercises. This book offers a clear guide to the formulations and mathematical properties of random vibration analysis techniques, with an emphasis on practical applications rather than mathematical development for its own sake. However, some important mathematical formulas have been explicitly deduced in a detailed manner so that readers can go through the material in this book very smoothly and efficiently.This book is intended for upper undergraduate and graduate students who are interested in learning advanced techniques for performing random vibration analysis, researchers and scientists investigating linear and nonlinear systems under random external excitations, and aeronautical/civil/mechanical/structural/ocean engineers involved in the design and manufacture of real-world stochastically excited engineering systems.
Random Walks and Diffusions on Graphs and Databases
by Dimitri Volchenkov Philipp BlanchardMost networks and databases that humans have to deal with contain large, albeit finite number of units. Their structure, for maintaining functional consistency of the components, is essentially not random and calls for a precise quantitative description of relations between nodes (or data units) and all network components. This book is an introduction, for both graduate students and newcomers to the field, to the theory of graphs and random walks on such graphs. The methods based on random walks and diffusions for exploring the structure of finite connected graphs and databases are reviewed (Markov chain analysis). This provides the necessary basis for consistently discussing a number of applications such diverse as electric resistance networks, estimation of land prices, urban planning, linguistic databases, music, and gene expression regulatory networks.
Randomization, Masking, and Allocation Concealment (Chapman & Hall/CRC Biostatistics Series)
by Vance BergerRandomization, Masking, and Allocation Concealment is indispensable for any trial researcher who wants to use state of the art randomization methods, and also wants to be able to describe these methods correctly. <P><P>Far too often the subtle nuances that distinguish proper randomization from flawed randomization are completely ignored in trial reports that state only that randomization was used, with no additional information. Experience has shown that in many cases, the type of randomization that was used was flawed. It is only a matter of time before medical journals and regulatory agencies come to realize that we can no longer rely on (or publish) flawed trials, and that flawed randomization in and of itself disqualifies a trial from being robust or high quality, even if that trial is of high quality otherwise. <P><P>This book will help to clarify the role randomization plays in ensuring internal validity, and in drawing valid inferences from the data. The various chapters cover a variety of randomization methods, and are not limited to the most common (and most flawed) ones. Readers will come away with a profound understanding of what constitutes a valid randomization procedure, so that they can distinguish the valid from the flawed among not only existing methods but also methods yet to be developed.
Randomness and Elements of Decision Theory Applied to Signals
by Monica Borda Romulus Terebes Raul Malutan Ioana Ilea Mihaela Cislariu Andreia Miclea Stefania BarburiceanuThis book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving real-world problems. After an introduction to concepts of statistics and signals, the book introduces many essential applications to signal processing like denoising, texture classification, histogram equalization, deep learning, or feature extraction. The book uses MATLAB algorithms to demonstrate the implementation of the theory to real systems. This makes the contents of the book relevant to students and professionals who need a quick introduction but practical introduction how to deal with random signals and processes
Rangeland Degradation and Recovery in China's Pastoral Lands
by Yang Youlin Wang Tao Lu Xinshi Lu Qi Victor R. SquiresThe extreme climate variability that characterizes China's arid rangelands can cause drought and degradation, resulting in dust storms, floods, animal losses, financial hardship and a decline in food availability. Addressing the issues of even greater climate extremes in the future, this book discusses both new approaches and past successes and failures in order to provide the necessary insight to develop sustainable rangeland management strategies, drawing on regional case studies and lessons learned from Australia, Canada and the USA.
Rangeland Ecology And Management
by Harold Heady R. Dennis ChildOver the last two decades the science of range management, like many other resource disciplines, has embraced and integrated environmental concerns in the field, the laboratory, and policy. Rangeland Ecology and Management now brings this integrated approach to the classroom in a thoroughly researched, comprehensive, and readable text. The authors discuss the basics of rangeland management--including grazing and practical management of animals and vegetation--and place those basics within the context of decision making for damaged land, riparian and water conservation, multiple use, and modeling. Concepts such as succession, stability, and range condition are examined and their effects discussed. Fire is considered as an environmental factor. Appendixes provide scientific and common names of range plants and animals. These and many other issues crucial to the understanding of successful range management combine to make the finest text for upper-level undergraduates now available.
Rangeland Stewardship in Central Asia
by Victor R. SquiresThis volume of 18 chapters is the work of more than 30 authors, many of whom are natives of the Central Asian region or are researchers who have dedicated a large part of their working lives to studying the development dynamics in this vast and fascinating region. The work focuses on the 20 years since the collapse of the Soviet Union in 1990. But it also traces the attitudes of land users to the land dating from before the late 19th century, when Russian conquest and colonization occurred, and through the upheavals caused by Soviet-style collectivization and sedentarization. The book is rich with new data presented in 68 easy to understand charts/graphs (many in color) and 50 Tables. Information was generated for this book by experts working in-country. It presents for the first time in English a digest of plethora of previously inaccessible Russian reports and scientific literature that will be invaluable for development agencies, including UN, World Bank, Asian Development Bank, Islamic Bank as well as to students of this vast and fascinating region who seek up to date and authoritive information.
Rangeland Sustainability: Social, Ecological, and Economic Assessments (Environmental and Societal Dimensions of Sustainable Development Goals)
by Kristie Maczko Aaron Harp John Tanaka Matt ReevesThis book provides an integrated description of the indicators of rangeland sustainability that capture ecological, economic, and social dimensions. It takes a fresh look at the information available on current and emerging issues across rangelands, and presents collaborative research for future progress. Authors offer a framework for evaluating rangeland sustainability, the best available data to use, as well as an interactive tool for use at a variety of geographical scales. Readers with limited knowledge of rangelands, as well as professional rangeland ecologists and land managers, will gain an understanding of the best tools available today to assess sustainability across rangeland ecosystems in the U.S.
Ranger Medic Handbook
by U.S. Department of DefenseHistorically in warfare, the majority of all combat deaths have occurred prior to a casualty ever receiving advanced trauma management. The execution of the Ranger mission profile in the Global War on Terrorism and our legacy tasks undoubtedly will increase the number of lethal wounds. Ranger leaders can significantly reduce the number of Rangers who die of wounds sustained in combat by simply targeting optimal medical capability in close proximity to the point of wounding. Directing casualty response management and evacuation is a Ranger leader task; ensuring technical medical competence is a Ranger Medic task. A solid foundation has been built for Ranger leaders and medics to be successful in managing casualties in a combat environment. The true success of the Ranger Medical Team will be defined by its ability to complete the mission and greatly reduce preventable combat death. Rangers value honor and reputation more than their lives, and as such will attempt to lay down their own lives in defense of their comrades. The Ranger Medic will do no less.
Rani Choudhury Must Die
by Adiba JaigirdarIn this sapphic dual POV romance by Adiba Jaigirdar, Meghna and Rani (ex-best-friends-turned-rivals) realize they're dating the same guy, so they team up to beat and expose him at a big science competition! Meghna Rahman is tired of constantly being compared to her infuriatingly perfect ex best friend now rival. Everyone, except, at least, her boyfriend Zak, seems to think that Rani Choudhury can do no wrong—even her own parents! It doesn’t help that Rani is always accepted into the Young Scientist Exhibition, while Meghna’s projects never make it. But this year, she finally has a chance at defeating Rani in something.Rani Choudhury is tired of feeling like she doesn’t have much say in her life—not when it comes to how her mom wants her to look and act or how her parents encourage her to date incredibly charming close family friend Zak. She would much rather focus on her coding, especially once she places high enough at the Young Scientist Exhibition to go on to the European Young Scientist ExhibitionWhen Meghna and Rani figure out that Zak has been playing them both, they decide to do something no one would see coming: they team up. They’ll compete in the EYSE as partners, creating an app that exposes cheaters and a project that exposes Zak. But with years of silence and pressure between them, working together will prove difficult. Especially once each girl starts to realize that the feelings they had for the other may have been more than platonic...Hey, no one ever said science was easy!
Ranking Vaccines: Use Case Studies and Data Framework
by Guruprasad MadhavanSMART Vaccines - Strategic Multi-Attribute Ranking Tool for Vaccines - is a prioritization software tool developed by the Institute of Medicine that utilizes decision science and modeling to help inform choices among candidates for new vaccine development. A blueprint for this computer-based guide was presented in the 2012 report "Ranking Vaccines: A Prioritization Framework: Phase I. " The 2013 "Phase II" report refined a beta version of the model developed in the Phase I report. "Ranking Vaccines: Applications of a Prioritization Software Tool: Phase III: Use Case Studies and Data Framework" extends this project by demonstrating the practical applications of SMART Vaccines through use case scenarios in partnership with the Public Health Agency of Canada, New York State Department of Health, and the Serum Institute of India. This report also explores a novel application of SMART Vaccines in determining new vaccine product profiles, and offers practical strategies for data synthesis and estimation to encourage the broader use of the software.