This richly illustrated book describes statistical extreme value theory for the quantification of natural hazards, such as strong winds, floods and rainfall, and discusses an interdisciplinary approach to allow the theoretical methods to be applied. The approach consists of a number of steps: data selection and correction, non-stationary theory (to account for trends due to climate change), and selecting appropriate estimation techniques based on both decision-theoretic features (e.g., Bayesian theory), empirical robustness and a valid treatment of uncertainties. It also examines and critically reviews alternative approaches based on stochastic and dynamic numerical models, as well as recently emerging data analysis issues and presents large-scale, multidisciplinary, state-of-the-art case studies. Intended for all those with a basic knowledge of statistical methods interested in the quantification of natural hazards, the book is also a valuable resource for engineers conducting risk analyses in collaboration with scientists from other fields (such as hydrologists, meteorologists, climatologists).

Hydrodynamic and pollutant transport models are useful tools for evaluating remediation options for polluted water bodies. These models span the range from highly theoretical, fine resolution, physically-based designs to lumped, black-box representations of real world phenomena.
This book examines the numerical approaches used in hydrodynamic and pollutant transport modeling. First, the theory and physical basis of transport and mixing in lakes and coastal waters are provided. Methodologies that use a three-dimensional (3D) approach to predicting the fate and transport of pollutants are presented and this is followed by a presentation of alternatives to 3D circulation modeling as well as new advances in the field. These alternatives offer near 3D accuracy but without the computational burden. Illustrations of the calibration and verification of these models using laboratory data, as well as, field data are also provided. The models are applied to a diverse array of study sites ranging from The Great Lakes in North America to the coastal areas of Northern Crete.
*Presents the theory of hydrodynamic and pollutant transport modelling in lakes and coastal areas
* Thoroughly examines the issues and limitations of the numerical approaches used in hydrodynamic and pollutant transport modelling
* Demonstrates the calibration and verification of hydrodynamic and pollutant transport models using laboratory and field data

This reference source on water efficiency in buildings provides comprehensive and up-to-date information. Both multi-disciplinary and practical, it signposts current knowledge, innovation, expertise and evidence on an important subject which is high in the resource management debate. Water Efficiency in Buildings: a review of theory and practice is structured into five sections: Policy; People; Building Design and Planning; Alternative Water Technologies; and Practical Examples & Case Studies. This final section of the book presents new and current practice as well as lessons learnt from case examples on the use of water saving technologies and user engagement. Current evidence is vital for effective policy making. The dynamic nature of issues around water resource management creates a higher need for robust and reliable data and research information that can inform policy and regulations. This compendium provides a roadmap for researchers and building professionals on water efficiency as well as for policy makers and regulators. The case studies and research presented fall within the water supply and demand spectrum, especially those that focus on process efficiency, resource management, building performance, customer experiences and user participation, sustainable practises, scientific and technological innovation. The benefit and impact of the research is at the localandnational level, as well as in the global context.

Digital Image Processing with C++ presents the theory of digital image processing, and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.). This book presents the mathematical theories underlying digital image processing, as well as their practical implementation through examples of algorithms implemented in the C++ language, using the free and easy-to-use CImg library. Chapters cover in a broad way the field of digital image processing and proposes practical and functional implementations of each method theoretically described. The main topics covered include filtering in spatial and frequency domains, mathematical morphology, feature extraction and applications to segmentation, motion estimation, multispectral image processing and 3D visualization. Students or developers wishing to discover or specialize in this discipline, teachers and researchers wishing to quickly prototype new algorithms, or develop courses, will all find in this book material to discover image processing or deepen their knowledge in this field.

This book provides students and researchers with a resource that includes the current application of the multi-criteria decision theory in a variety of fields, including the environment, health care, engineering, and architecture. There are many critical parameters (criteria) that can directly or indirectly affect the consequences of various decisions. The application of the multi-criteria decision theory focusses mainly on the use of computational methods which include multiple criteria and orders of preference for the evaluation and the selection of the best option among many alternatives based on the desired outcome. The theory of multi-criteria decision making (MCDM) is an approach that can be extremely useful for students, managers, engineers of manufacturing companies, etc.

This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis. Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.

Merchant Ship Types provides a broad and detailed introduction to the classifications and main categories of merchant vessels for students and cadets. It introduces the concept of ship classification by usage, cargo type, and size, and shows how the various size categories affect which ports and channels the types of vessels are permitted to enter. Detailed outlines of each major vessel category are provided, including: Feeder ship General cargo vessels Container ships Tankers Dry bulk carriers Multi-purpose vessels Reefer ships Roll-on/roll-off vessels The book also explains where these are permitted to operate, the type of cargoes carried, and specific safety or risk factors associated with the vessel class, as well as their main characteristics. Relevant case studies are presented. The textbook is ideal for merchant navy cadets at HNC, HND, and foundation degree level in both the deck and engineering branches, and serves as a general reference for insurance, law, logistics, offshore and fisheries.

This book presents a scientific view of fighting climate change in the economy of the future, the foundations of which are being set around the world. The authors substantiate the potential of Industry 4.0 in stimulating sustainable development in environmental protection and preservation of natural resources. This book considers the modern experience of fighting climate change based on possibilities of Industry 4.0 at the national scale in view of developed and developing countries with a special focus on Russia and at the corporate scale by the example of transnational corporations. It determines the future contribution of Industry 4.0 into development of responsible production and consumption, and compiles the "outlines" of "green" economy in Industry 4.0. It offers recommendations for control of climate change in Industry 4.0, and presents the authors' vision of ecological responsibility in Industry 4.0 for implementing the sustainable development goals. This book will be of interest to academics and practitioners interested in climate change and development of Industry 4.0, as well contributing to a national economic policy for fighting climate change and corporate strategies of sustainable development in Industry 4.0.

"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC." -Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade." -Daniel Barbara, George Mason University, Fairfax, Virginia, USA "The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing 'just in time' the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts." -Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark "I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength...Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months." -David Clifton, University of Oxford, UK "The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book." -Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK "This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning...The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective." -Guangzhi Qu, Oakland University, Rochester, Michigan, USA

Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media. It addresses an important scientific and technological challenge, namely the confluence of graph analysis and network theory with linear algebra, digital media, machine learning, big data analysis, and signal processing. Supplying an overview of graph-based social media analysis, the book provides readers with a clear understanding of social media structure. It uses graph theory, particularly the algebraic description and analysis of graphs, in social media studies. The book emphasizes the big data aspects of social and digital media. It presents various approaches to storing vast amounts of data online and retrieving that data in real-time. It demystifies complex social media phenomena, such as information diffusion, marketing and recommendation systems in social media, and evolving systems. It also covers emerging trends, such as big data analysis and social media evolution. Describing how to conduct proper analysis of the social and digital media markets, the book provides insights into processing, storing, and visualizing big social media data and social graphs. It includes coverage of graphs in social and digital media, graph and hyper-graph fundamentals, mathematical foundations coming from linear algebra, algebraic graph analysis, graph clustering, community detection, graph matching, web search based on ranking, label propagation and diffusion in social media, graph-based pattern recognition and machine learning, graph-based pattern classification and dimensionality reduction, and much more. This book is an ideal reference for scientists and engineers working in social media and digital media production and distribution. It is also suitable for use as a textbook in undergraduate or graduate courses on digital media, social media, or social networks.

-A comprehensive text for students and professionals on an essential and emerging area of knowledge and skills for today's technical communication professions -Covers a growing area of focus for the field of technical communication, with relevance to digital marketing, social media publishing, and other professional fields -The first core textbook in this area designed to cover a full range of content strategy skills and practices

With a rigorous and comprehensive coverage, the second edition of Compliant Mechanisms: Design of Flexure Hinges provides practical answers to the design and analysis of devices that incorporate flexible hinges. Complex-shaped flexible-hinge mechanisms are generated from basic elastic segments by means of a bottom-up compliance (flexibility) approach. The same compliance method and the classical finite element analysis are utilized to study the quasi-static and dynamic performances of these compliant mechanisms. This book offers easy-to-use mathematical tools to investigate a wealth of flexible-hinge configurations and two- or three-dimensional compliant mechanism applications. FEATURES Introduces a bottom-up compliance-based approach to characterize the flexibility of new and existing flexible hinges of straight- and curvilinear-axis configurations Develops a consistent linear lumped-parameter compliance model to thoroughly describe the quasi-static and dynamic behavior of planar/spatial, serial/parallel flexible-hinge mechanisms Utilizes the finite element method to analyze the quasi-statics and dynamics of compliant mechanisms by means of straight- and curvilinear-axis flexible-hinge elements Covers miscellaneous topics such as stress concentration, yielding and related maximum load, precision of rotation of straight- and circular-axis flexible hinges, temperature effects on compliances, layered flexible hinges and piezoelectric actuation/sensing Offers multiple solved examples of flexible hinges and flexible-hinge mechanisms. This book should serve as a reference to students, researchers, academics and anyone interested to investigate precision flexible-hinge mechanisms by linear model-based methods in various areas of mechanical, aerospace or biomedical engineering, as well as in robotics and micro-/nanosystems.

This book is an outcome of the seventh IAVSD Symposium on the Dynamics of Vehicles on Roads and Tracks was held at Cambridge, England. The theme of the Symposium was the mathematical modelling of vehicle dynamics with an emphasis on the problems due to interaction between vehicle and road or track.

The book entitled "Prospects in Bioscience: Addressing the issues" is a collection of selected research papers presented at the International Conference on Advances in Biological Sciences (ICABS) organized by the Department of Biotechnology and Microbiology and the Inter University Centre for Bioscience, Kannur University, Kerala, India. ICABS witnessed a unique spectrum of Scientific Programmes on the most recent and exciting developments in modern biology. The conference displayed the numerous breakthroughs and significant developments in the important areas of modern biology and their relevance to the welfare of global society. The Book contains 50 well written chapters, each one discussing scientifically organized findings of original research work done in reputed laboratories. Needless to say, they deal with advances in various disciplines of modern biology including Cell and Molecular Biology, Structural Biology, Industrial and Environmental Biotechnology, Food and Agricultural Biotechnology and Medical Biotechnology. As the title rightly indicates, the chapters project the prospects in the respective areas and the issues in them. Specific issues discussed in the book includes development of transgenic plants, bioremediation of toxic industrial effluents, biotransformation for novel antibiotics, biofertilizer development, molecular drug designing and structure elucidation, molecular identification of pathogens, production of anti microbials, biocontrol agents and bioactive molecules, cancer biology, plant breeding and hybrid seed production etc. The book with its contents spreading across the vast arena of modern biology is expected to cater to the need of researchers, technologists and students.

First book on the market to look at climate change and coaching. International and diverse case studies and coaching examples. Applies theory and concepts to practice. Additional materials available on the editors' website.

This book offers a practical guidance for environmental engineers and scientists charged with assessing the cause-and-effect of pollutants in receiving water systems. Instead of blindly running models, which is a practice seen too often in today's field that can result in results with uncertainty, modelers must first understand the physical insights of the specific water systems in order to properly calibrate the parameters of the models. This book reinforces the critical importance of properly understanding the physical attributes of water systems by drawing on the author's extensive experience in modeling with strong data support. This is also what sets this book apart from the volumes currently available in the water quality modeling field - nearly all other books in the field are categorized as textbooks, and unlike this book, offer few practical examples or exercises to follow. Environmental engineers and scientists engaged in quantifying the water quality impacts of pollutants to specific water systems will find this book valuable in their day-to-day practices. This book is a necessary volume for water quality engineers and scientists to consult for the regulatory planning and management of water systems

Climate Change Temporalities explores how various timescales, timespans, intervals, rhythms, cycles, and changes in acceleration are at play in climate change discourses. It argues that nuanced, detailed, and specific understandings and concepts are required to handle the challenges of a climatically changed world, politically and socially as well as scientifically. Rather than reflecting abstractly on theories of temporality, this edited collection explores a variety of timescales and temporalities from narratives, experience, popular culture, and everyday life in addition to science and history - and the entanglements between them. The chapters are clustered into three main sections, exploring a range of genres, such as questionnaires, interviews, magazines, news media, television series, aquariums, and popular science books to critically examine how and where climate change understandings are formed. The book also includes chapters historising notions of climate and temporality by exploring scientific debates and practices. Climate Change Temporalities will be of great interest to students and scholars of humanistic climate change research, environmental humanities, studies of temporality and historicity, cultural studies, cultural history, and popular culture.

Following on from the successful first edition of "Waste Treatment & Disposal, " this second edition has been completely updated, and provides comprehensive coverage of waste process engineering and disposal methodologies. Concentrating on the range of technologies available for household and commercial waste, it also presents readers with relevant legislative background material as boxed features.

NEW to this edition: Increased coverage of re-use and recyclingUpdating of the usage of different waste treatment technologiesIncreased coverage of new and emerging technologies for waste treatment and disposalA broader global perspective with a focus on comparative international material on waste treatment uptake and waste management policies

"This is, for my money, the best single-source primer on the state of climate change." - New York Magazine "The right book at the right time: accessible, comprehensive, unflinching, humane." - The Daily Beast "A must-read." - The Guardian Climate Change: What Everyone Needs to Know is the essential primer on what will be the defining issue of our time. Newly updated with the latest in climate science from COP26 and beyond, this third edition offers user-friendly, scientifically rigorous answers to the most difficult (and commonly politicized) questions surrounding climate change. Drawing on the author's decades of experience as one of the country's most influential communicators on climate science and solutions, this authoritative guide highlights the following topics: * Key updates from the 2021 United Nations Climate Change Conference in Glasgow * Insights into changes in the political landscape, such as COVID-19 and Donald Trump's presidency, and what these have meant for climate action in the United States and internationally * Contemporary implications of the clean energy revolution, from solar and wind power to batteries and electric cars

* Updated vision on tunnelling design, tools, materials and construction * Balanced mix of theory, technology and applied experience * Different and harmonized points of view from academics, professionals and contractors * Easy consultation in the form of a handbook * Risk-oriented approach to tunnelling problems

This book aims to describe, though in a quite light way, the social role of plant diseases, letting the reader know the topical importance of plant pathology, as well as the role of plant pathologists in our society. Plant diseases caused, in the past, significant economic losses, deaths, famine, wars, and migration. Some of them marked the history of entire countries. One example among many: the potato late blight in Ireland in 1845. Today plant diseases are still the cause of deaths, often silent, in developing countries, and relevant economic losses in the industrialized ones. This book, written with much passion, neither wants to be a plant pathology text. On the contrary, it wants to describe, in simple words, often enriched by the author's personal experience, various plant diseases that, in different times and countries, did cause severe losses and damages. Besides the so-called "historical plant diseases", in the process of writing this book, she wanted to describe also some diseases that, though not causing famine or billions of losses, because of their peculiarity, might be of interest for the readers. Thus, this book has not been conceived and written for experts, but for a broader audience, of different ages, willing to learn more about plant health and to understand the reasons why so many people in the past and nowadays choose to be plant pathologists. This is because plants produce most of the food that we consume, that we expect to be healthy and safe, and because plants make the world beautiful. The title "Spores" is evocative of the reproduction mean of fungi. Spores are small, light structures, often moving fast. The chapters of this book are short and concise. Just like spores!

Petroleum engineers search through endless sources to understand oil and gas chemicals, identify root cause of the problems, and discover solutions while operations are becoming more unconventional and driving toward more sustainable practice. Oil and Gas Chemistry Management Series brings an all-inclusive suite of tools to cover all the sectors of oil and gas chemistry-related issues and chemical solutions from drilling and completion, to production, surface processing, and storage. The fourth reference in the series, Surface Process, Transportation, and Storage delivers the critical basics while also covering latest research developments and practical solutions. Organized by the type of challenges, this volume facilitates engineers to fully understand underlying theories, practical solutions, and keys for successful applications. Basics include produced fluids treating, foam control, pipeline drag reduction, and crude oil and natural gas storage, while more advanced topics cover CO2 recovery, shipment, storage, and utilization. Supported by a list of contributing experts from both academia and industry, this volume brings a necessary reference to bridge petroleum chemistry operations from theory into more cost-effective and sustainable practical applications.

At present, both Industry 4.0 and industrial engineering management developments are reshaping the industrial sector worldwide. Industry 4.0 and sustainability are considered as the crucial emerging trends in industrial production systems. The resulting transformations are changing production modes from traditional to digital, intelligent, and decentralized. It is expected that Industry 4.0 will help drive sustainability in industries thanks to the implementation of advanced technology and a move towards social sustainability. This book reflects on the consequences of the transition to Industry 4.0 for climate change. The book presents a systemic overview of the current negative impacts of digitization on the environment and showcases a new outline of the energy domain and expected changes in environmental pollution levels under Industry 4.0. It also analyzes the ecological consequences of the growth and development of Industry 4.0 and considers Industry 4.0 as an alternative to fighting climate change, in the sense of shifting the global community's attention from environmental protection to consolidation of the digital economy. This book will be of interest to academicians and practitioners in the fields of climate change and development of Industry 4.0, and it will contribute to national economic policies for fighting climate change and corporate strategies of sustainable development under Industry 4.0.

Align IT projects strategically to achieve business goals and objectives Project management and leadership to seize opportunities and manage threats Build and follow a roadmap to implement strategic governance Assess and improve project management capabilities Includes templates and case studies