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The Fearless World of Professional Safety in the 21st Century

by Scott Gesinger

Professional safety is in danger of extinction. Safety professionals have become complacent and unfocused, ignorantly relying on an 80-year-old paradigm. Lazy gimmicks are substituted for the hierarchy of controls meant to be the foundation of the profession. A $10,000 investment in posters makes zero improvement in safety; a $10,000 investment in machine guarding upgrades can save lives. By blending philosophy, history, and psychology, The Fearless World of Professional Safety in the 21st Century is revolutionary, offering an innovative approach with creative solutions to move a safety program past the malarkey that has devalued professional safety for decades. Using humor and professional experience within a discussion of historical events and published scientific findings, Scott Gesinger explores the history of how current safety practices developed and why these must change if the profession is to survive the 21st century. He discusses new professional philosophies based on best practices in industry, historical examples, scientific research outside of safety, and proven approaches from other disciplines which can successfully guide safety professionals into the future. Gesinger provides a book for every safety professional that is candid, plain-speaking, and eminently approachable, while at the same time provides information that is new, challenging, and engaging.

The Fears of the Rich, The Needs of the Poor: My Years at the CDC

by William W. Foege

William H. Foege, one of the most respected leaders in global public health, takes readers on a tour of his time at the CDC.In its seventy years, the Centers for Disease Control and Prevention (CDC) has evolved from a malaria control program to an institution dedicated to improving health for all people across the world. The Fears of the Rich, The Needs of the Poor is a revealing account of the CDC’s development by its former director, public health luminary William H. Foege.Dr. Foege tells the stories of pivotal moments in public health, including the eradication of smallpox (made possible due in part to Foege’s research) and the discovery of Legionnaires’ disease, Reye syndrome, toxic shock syndrome, and HIV/AIDS. With good humor and optimism, he recounts the various crises he surmounted, from threats of terrorist attacks to contentious congressional hearings and funding cuts. Highlighting the people who made possible some of public health’s biggest successes, Foege outlines the work required behind the scenes and describes the occasional tensions between professionals in the field and the politicians in charge of oversight. In recent years, global public health initiatives have come from unanticipated sources. Giants in the field now include President Jimmy Carter and his wife, Rosalynn, who promote programs aimed at neglected diseases. Melinda and Bill Gates have invigorated the field through research and direct program support, especially in the area of vaccine-preventable diseases. And the Merck Mectizan program has dramatically reduced river blindness in Africa. Foege has been involved in all of these efforts, among others, and he brings to this book the knowledge and wisdom derived from a long and accomplished career. The Fears of the Rich, The Needs of the Poor is an inviting but unvarnished account of that career and offers a plethora of lessons for those interested in public health.

Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques

by Mrinmoy Majumder Apu K. Saha

This Brief highlights a novel model to find out the feasibility of any location to produce solar energy. The model utilizes the latest multi-criteria decision making techniques and artificial neural networks to predict the suitability of a location to maximize allocation of available energy for producing optimal amount of electricity which will satisfy the demand from the market. According to the results of the case studies further applications are encouraged.

Feasibility of Using Mycoherbicides for Controlling Illicit Drug Crops

by Committee on Mycoherbicides for Eradicating Illicit Drug Crops

The control of illicit-drug trafficking and drug use is a difficult and complex process that involves a variety of prevention, control, treatment, and law enforcement strategies. Eradication strategies for controlling illicit-drug crops are used to target the beginning of the drug-supply chain by preventing or reducing crop yields. Mycoherbicides have been proposed as an eradication tool to supplement the current methods of herbicide spraying, mechanical removal, and manual destruction of illicit-drug crops. Some people regard them as preferable to chemical herbicides for controlling illicit-drug crops because of their purported specificity to only one plant species or a few closely related species. As living microorganisms, they have the potential to provide long-term control if they can persist in the environment and affect later plantings. Research on mycoherbicides against illicit-drug crops has focused on three pathogens: Fusarium oxysporum f. sp. cannabis for cannabis (Cannabis sativa), F. oxysporum f. sp. erythroxyli for coca (Erythroxylum coca and E. novogranatense), and Crivellia papaveracea or Brachycladium papaveris (formerly known as Pleospora papaveracea and Dendryphion penicillatum, respectively) for opium poppy (Papaver somniferum). Feasibility of Using Mycoherbicides for Controlling Illicit Drug Crops addresses issues about the potential use of the proposed mycoherbicides: their effectiveness in eradicating their target plants; the feasibility of their large-scale industrial manufacture and delivery; their potential spread and persistence in the environment; their pathogenicity and toxicity to nontarget organisms, including other plants, fungi, animals, and humans; their potential for mutation and resulting effects on target plants and nontarget organisms; and research and development needs. On the basis of its review, the report concludes that the available data are insufficient to determine the effectiveness of the specific fungi proposed as mycoherbicides to combat illicit-drug crops or to determine their potential effects on nontarget plants, microorganisms, animals, humans, or the environment. However, the committee offers an assessment of what can and cannot be determined at the present time regarding each of the issues raised in the statement of task.

Featherweight 221: The Perfect Portable And Its Stitches Across History

by Nancy Johnson-Srebro

A comprehensive history of the treasured Singer sewing machine from the author of Big Block One-Star Quilts by Magic.Enjoy an entertaining look at the history of the Featherweight sewing machine with this expanded third edition updated with the latest research. It’s packed with photos, stories, and handy information, like how to date and troubleshoot your machine. It’s a fun read for quilters, Featherweight owners, and history buffs.

The Feathery Tribe

by Daniel Lewis

Amateurs and professionals studying birds at the end of the nineteenth century were a contentious, passionate group with goals that intersected, collided and occasionally merged in their writings and organizations. Driven by a desire to advance science, as well as by ego, pride, honor, insecurity, religion and other clashing sensibilities, they struggled to absorb the implications of evolution after Darwin. In the process, they dramatically reshaped the study of birds. Daniel Lewis here explores the professionalization of ornithology through one of its key figures: Robert Ridgway, the Smithsonian Institution’s first curator of birds and one of North America’s most important natural scientists. Exploring a world in which the uses of language, classification and accountability between amateurs and professionals played essential roles, Lewis offers a vivid introduction to Ridgway and shows how his work fundamentally influenced the direction of American and international ornithology. He explores the inner workings of the Smithsonian and the role of collectors working in the field and reveals previously unknown details of the ornithological journalThe Aukand the untold story of the color dictionaries for which Ridgway is known.

Feature and Dimensionality Reduction for Clustering with Deep Learning (Unsupervised and Semi-Supervised Learning)

by Frederic Ros Rabia Riad

This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to the knowledge discovery question. The authors first present a synthesis of the major recent influencing techniques and "tricks" participating in recent advances in deep clustering, as well as a recall of the main deep learning architectures. Secondly, the book highlights the most popular works by “family” to provide a more suitable starting point from which to develop a full understanding of the domain. Overall, the book proposes a comprehensive up-to-date review of deep feature selection and deep clustering methods with particular attention to the knowledge discovery question and under a multi-criteria analysis. The book can be very helpful for young researchers, non-experts, and R&D AI engineers.

Feature Engineering and Computational Intelligence in ECG Monitoring

by Chengyu Liu Jianqing Li

This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback. By doing so, it provides a “snapshot” of the current research at the interface between physiological signal analysis and machine learning. It also helps clarify a number of dilemmas and encourages further investigations in this field, to explore rational applications of feature engineering and computational intelligence in ECG monitoring. The book is intended for researchers and graduate students in the field of biomedical engineering, ECG signal processing, and intelligent healthcare.

Feature Extraction in Medical Image Retrieval: A New Design of Wavelet Filter Banks

by Aswini Kumar Samantaray Amol D. Rahulkar

Medical imaging is fundamental to modern healthcare, and its widespread use has resulted in creation of image databases. These repositories contain images from a diverse range of modalities, multidimensional as well as co-aligned multimodality images. These image collections offer opportunity for evidence-based diagnosis, teaching, and research. Advances in medical image analysis over last two decades shows there are now many algorithms and ideas available that allow to address medical image analysis tasks in commercial solutions with sufficient performance in terms of accuracy, reliability and speed. Content-based image retrieval (CBIR) is an image search technique that complements the conventional text-based retrieval of images by using visual features, such as color, texture, and shape, as search criteria. This book emphasizes the design of wavelet filter-banks as efficient and effective feature descriptors for medical image retrieval.Firstly, a generalized novel design of a family of multiplier-free orthogonal wavelet filter-banks is presented. In this, the dyadic filter coefficients are obtained based on double-shifting orthogonality property with allowable deviation from original filter coefficients. Next, a low complex symmetric Daub-4 orthogonal wavelet filter-bank is presented. This is achieved by slightly altering the perfect reconstruction condition to make designed filter-bank symmetric and to obtain dyadic filter coefficients. In third contribution, the first dyadic Gabor wavelet filter-bank is presented based on slight alteration in orientation parameter without disturbing remaining Gabor wavelet parameters. In addition, a novel feature descriptor based on the design of adaptive Gabor wavelet filter-bank is presented. The use of Maximum likelihood estimation is suggested to measure the similarity between the feature vectors of heterogeneous medical images. The performance of the suggested methods is evaluated on three different publicly available databases namely NEMA, OASIS and EXACT09. The performance in terms of average retrieval precision, average retrieval recall and computational time are compared with well-known existing methods.

Feature Learning and Understanding: Algorithms and Applications (Information Fusion and Data Science)

by Henry Leung Haitao Zhao Zhihui Lai Xianyi Zhang

This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.

Feature Profile Evolution in Plasma Processing Using On-wafer Monitoring System

by Seiji Samukawa

This book provides for the first time a good understanding of the etching profile technologies that do not disturb the plasma. Three types of sensors are introduced: on-wafer UV sensors, on-wafer charge-up sensors and on-wafer sheath-shape sensors in the plasma processing and prediction system of real etching profiles based on monitoring data. Readers are made familiar with these sensors, which can measure real plasma process surface conditions such as defect generations due to UV-irradiation, ion flight direction due to charge-up voltage in high-aspect ratio structures and ion sheath conditions at the plasma/surface interface. The plasma etching profile realistically predicted by a computer simulation based on output data from these sensors is described.

Fed-Batch Cultures

by Henry C. Lim Hwa Sung Shin

Many, if not most, industrially important fermentation and bioreactor operations are carried out in fed-batch mode, producing a wide variety of products. In spite of this, there is no single book that deals with fed-batch operations. This is the first book that presents all the necessary background material regarding the 'what, why and how' of optimal and sub-optimal fed-batch operations. Numerous examples are provided to illustrate the application of optimal fed-batch cultures. This unique book, by world experts with decades of research and industrial experience, is a must for researchers and industrial practitioners of fed-batch processes (modeling, control and optimization) in biotechnology, fermentation, food, pharmaceuticals and waste treatment industries.

Federal Aviation Regulations/Aeronautical Information Manual 2014: Federal Aviation Regulations/aeronautical Information Manual (Far/aim: Federal Aviation Regulations And The Aeronautical Information Manual Ser.)

by Federal Aviation Administration

If you’re an aviator or aviation enthusiast, you cannot be caught with an out-of-date edition of the FAR/AIM. In today’s environment, there is no excuse for ignorance of the rules of the US airspace system. In the newest edition of the FAR/AIM, all regulations, procedures, and illustrations are brought up to date to reflect current FAA data. This handy reference book is an indispensable resource for members of the aviation community, as well as for aspiring pilots looking to get a solid background in the rules, requirements, and procedures of flight training. Not only does this manual present all the current FAA regulations, it also includes: A study guide for specific pilot training certifications and ratings A pilot/controller glossary Standard instrument procedures Parachute operations Airworthiness standards for products and parts The NASA Aviation Safety reporting form Important FAA contact informationThis is the most complete guide to the rules of aviation available anywhere. Don’t take off without the FAR/AIM!

Federal Financial Incentives to Induce Early Experience Producing Unconventional Liquid Fuels

by Vi-Nhuan Le Charles J. Bushman James T. Bartis Frank Camm

The government, as a principal, may seek to induce a private investor, as anagent, to build and operate an unconventional-oil production plant topromote early production experience with such plants. Facing significantuncertainty about the future, it also wants to limit the cost to the publicof doing this. This report offers an analytic way to design and assesspackages of policy instruments that the government can use to achieve itsgoal.

Federated and Transfer Learning (Adaptation, Learning, and Optimization #27)

by Roozbeh Razavi-Far Boyu Wang Matthew E. Taylor Qiang Yang

This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning. Over the last few years, the machine learning community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications.

Federated Learning for Future Intelligent Wireless Networks

by Yao Sun Chaoqun You Gang Feng Lei Zhang

Federated Learning for Future Intelligent Wireless Networks Explore the concepts, algorithms, and applications underlying federated learning In Federated Learning for Future Intelligent Wireless Networks, a team of distinguished researchers deliver a robust and insightful collection of resources covering the foundational concepts and algorithms powering federated learning, as well as explanations of how they can be used in wireless communication systems. The editors have included works that examine how communication resource provision affects federated learning performance, accuracy, convergence, scalability, and security and privacy. Readers will explore a wide range of topics that show how federated learning algorithms, concepts, and design and optimization issues apply to wireless communications. Readers will also find: A thorough introduction to the fundamental concepts and algorithms of federated learning, including horizontal, vertical, and hybrid FL Comprehensive explorations of wireless communication network design and optimization for federated learning Practical discussions of novel federated learning algorithms and frameworks for future wireless networks Expansive case studies in edge intelligence, autonomous driving, IoT, MEC, blockchain, and content caching and distribution Perfect for electrical and computer science engineers, researchers, professors, and postgraduate students with an interest in machine learning, Federated Learning for Future Intelligent Wireless Networks will also benefit regulators and institutional actors responsible for overseeing and making policy in the area of artificial intelligence.

Federated Learning for IoT Applications (EAI/Springer Innovations in Communication and Computing)

by Sachin Kumar Satya Prakash Yadav Dharmendra Prasad Mahato Bhoopesh Singh Bhati

This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users’ privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federated learning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering.

Federated Learning Over Wireless Edge Networks (Wireless Networks)

by Wei Yang Lim Jer Shyuan Ng Zehui Xiong Dusit Niyato Chunyan Miao

This book first presents a tutorial on Federated Learning (FL) and its role in enabling Edge Intelligence over wireless edge networks. This provides readers with a concise introduction to the challenges and state-of-the-art approaches towards implementing FL over the wireless edge network. Then, in consideration of resource heterogeneity at the network edge, the authors provide multifaceted solutions at the intersection of network economics, game theory, and machine learning towards improving the efficiency of resource allocation for FL over the wireless edge networks. A clear understanding of such issues and the presented theoretical studies will serve to guide practitioners and researchers in implementing resource-efficient FL systems and solving the open issues in FL respectively.

Federated Learning Systems: Towards Next-Generation AI (Studies in Computational Intelligence #965)

by Muhammad Habib ur Rehman Mohamed Medhat Gaber

This book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. The centralized training of deep learning and machine learning models not only incurs a high communication cost of data transfer into the cloud systems but also raises the privacy protection concerns of data providers. This book aims at targeting researchers and practitioners to delve deep into core issues in federated learning research to transform next-generation artificial intelligence applications. Federated learning enables the distribution of the learning models across the devices and systems which perform initial training and report the updated model attributes to the centralized cloud servers for secure and privacy-preserving attribute aggregation and global model development. Federated learning benefits in terms of privacy, communication efficiency, data security, and contributors’ control of their critical data.

The Feed: A Novel

by Nick Clark Windo

Nick Clark Windo’s “The Feed examines our addiction to technology through the lens of a bleak dystopia . . . A deft and extremely clever work of sci-fi.”*The Feed is accessible everywhere, by everyone, at any time. It instantaneously links us to all information and global events as they break. Every interaction, every emotion, every image can be shared through it; it is the essential tool everyone relies on to know and understand the thoughts and feelings of anyone and everyone else in the world. Tom and Kate use the Feed, but Tom has resisted its addiction, which makes him suspect to his family. After all, his father created it. But that opposition to constant connection serves Tom and Kate well when the Feed collapses after a horrific tragedy shatters the world as they know it. The Feed’s collapse, taking modern society with it, leaves people scavenging to survive. Finding food is truly a matter of life and death. Minor ailments, previously treatable, now kill. And while the collapse has demolished the trappings of the modern world, it has also eroded trust. In a world where survival of the fittest is a way of life, there is no one to depend upon except yourself . . . and maybe even that is no longer true. Tom and Kate have managed to protect themselves and their family. But then their six-year-old daughter, Bea, goes missing. Who has taken her? How do you begin to look for someone in a world without technology? And what happens when you can no longer even be certain that the people you love are really who they claim to be? *Wall Street Journal bestselling author Joe Hart

Feed Additives and Supplements for Ruminants

by Vinod Kumar Yata M. S. Mahesh

This book comprehensively reviews various feed additives and supplements that are employed for ruminant production and health. It discusses important strategies of using additives and supplements through rumen fermentation, immunomodulation, nutrient utilization, and cellular metabolism that lead to enhanced milk production, body weight gain, feed efficiency, and reproduction. The book also presents the importance of nutritional supplements such as B-vitamins, advances in mineral nutrition, role of lesser-known trace elements, protected amino acids, slow-release nitrogen and rumen buffers on performance and health of ruminants. In addition, the book explores strategies for improving environmental stewardship of ruminant production by minimizing carbon footprint associated with greenhouse gas emissions, enhancing ruminant-derived food safety through mycotoxin binders, exogenous enzymes, probiotics, flavours, biochar, ionophores, seaweeds and natural phytogenic feed additives with an emphasis on plant secondary metabolites (tannins, saponins and essential oils, etc.). It also details information on silage additives, additives and supplements employed in successful calf rearing, transition cow management as well as to ameliorate the adversity of heat stress in ruminants. Overall, the book is valuable for veterinary and animal science researchers, animal producers, nutrition specialists, veterinarians, and livestock advisors.

Feed-Forward: On the Future of Twenty-First-Century Media

by Mark B. N. Hansen

Even as media in myriad forms increasingly saturate our lives, we nonetheless tend to describe our relationship to it in terms from the twentieth century: we are consumers of media, choosing to engage with it. In Feed-Forward, Mark B. N. Hansen shows just how outmoded that way of thinking is: media is no longer separate from us but has become an inescapable part of our very experience of the world. Drawing on the speculative empiricism of philosopher Alfred North Whitehead, Hansen reveals how new media call into play elements of sensibility that greatly affect human selfhood without in any way belonging to the human. From social media to data-mining to new sensor technologies, media in the twenty-first century work largely outside the realm of perceptual consciousness, yet at the same time inflect our every sensation. Understanding that paradox, Hansen shows, offers us a chance to put forward a radically new vision of human becoming, one that enables us to reground the human in a non-anthropocentric view of the world and our experience in it.

Feed-in Tariffs: Accelerating the Deployment of Renewable Energy

by Miguel Mendonça

A feed-in tariff is a renewable energy law that obliges energy suppliers to buy electricity produced from renewable resources at a fixed price, usually over a fixed period - even from householders. These legal guarantees ensure investment security, and the support of all viable renewable energy technologies. Supporters argue that the feed-in model, if implemented effectively around the world, would greatly assist the energy revolution that is so desperately required; through CO2 reduction, market creation and development, job creation and improved energy security. Feed-in Tariffs is a concise introduction to feed-in laws, examining the experience of countries that have implemented this model. The author argues that the policy should be implemented anywhere with a suitable national power grid infrastructure, and identifies variations on the policy for those areas without. Alternative models and support schemes are examined to provide policy makers with the information required to consider the implementation of feed-in tariffs, and to introduce the concept to renewable energy technology manufacturers, producers, investors and supporters. With a foreword by Hermann Scheer. Published with the World Future Council.

Feedback

by Tom Moir

This text ventures into areas which the majority of control system books avoid. It was written to look at the area in a much wider form than the usual process control or machine control-systems. Many topics which are covered in other specialities are covered such as the stability of amplifiers, phase-locked loops, structural resonance and parasitic oscillations. It also covers the application and implementation of real-time digital controllers and for the first time the Amplitude-locked loop. An even wider look at the area is shown by examining classical or historic mathematical algorithms in terms of control-theory. Despite its wide range, the book is tutorial in nature and tries to avoid where possible an obtuse mathematical approach. It comes with MATLAB, LabView and a few Mathematica examples. The book is an ideal undergraduate text for engineers and a refresher for many practising engineers. It gives a thorough background in the analogue domain before moving on to digital-control and its applications. The proceeds from author royalties of this book will be donated to charity.

Feedback Control

by Stephen J. Dodds

This book develops the understanding and skills needed to be able to tackle original control problems. The general approach to a given control problem is to try the simplest tentative solution first and, when this is insufficient, to explain why and use a more sophisticated alternative to remedy the deficiency and achieve satisfactory performance. This pattern of working gives readers a full understanding of different controllers and teaches them to make an informed choice between traditional controllers and more advanced modern alternatives in meeting the needs of a particular plant. Attention is focused on the time domain, covering model-based linear and nonlinear forms of control together with robust control based on sliding modes and the use of state observers such as disturbance estimation. Feedback Control is self-contained, paying much attention to explanations of underlying concepts, with detailed mathematical derivations being employed where necessary. Ample use is made of diagrams to aid these conceptual explanations and the subject matter is enlivened by continual use of examples and problems derived from real control applications. Readers' learning is further enhanced by experimenting with the fully-commented MATLAB®/Simulink® simulation environment made accessible at insert URL here to produce simulations relevant to all of the topics covered in the text. A solutions manual for use by instructors adopting the book can also be downloaded from insert URL here. Feedback Control is suitable as a main textbook for graduate and final-year undergraduate courses containing control modules; knowledge of ordinary linear differential equations, Laplace transforms, transfer functions, poles and zeros, root locus and elementary frequency response analysis, and elementary feedback control is required. It is also a useful reference source on control design methods for engineers practicing in industry and for academic control researchers.

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