Get valuable insights from your data by building data analysis systems from scratch with R. About This Book A handy guide to take your understanding of data analysis with R to the next level Real-world projects that focus on problems in finance, network analysis, social media, and more From data manipulation to analysis to visualization in R, this book will teach you everything you need to know about building end-to-end data analysis pipelines using R Who This Book Is For If you are looking for a book that takes you all the way through the practical application of advanced and effective analytics methodologies in R, then this is the book for you. A fundamental understanding of R and the basic concepts of data analysis is all you need to get started with this book. What You Will Learn Build end-to-end predictive analytics systems in R Build an experimental design to gather your own data and conduct analysis Build a recommender system from scratch using different approaches Use and leverage RShiny to build reactive programming applications Build systems for varied domains including market research, network analysis, social media analysis, and more Explore various R Packages such as RShiny, ggplot, recommenderlab, dplyr, and find out how to use them effectively Communicate modeling results using Shiny Dashboards Perform multi-variate time-series analysis prediction, supplemented with sensitivity analysis and risk modeling In Detail R offers a large variety of packages and libraries for fast and accurate data analysis and visualization. As a result, it's one of the most popularly used languages by data scientists and analysts, or anyone who wants to perform data analysis. This book will demonstrate how you can put to use your existing knowledge of data analysis in R to build highly efficient, end-to-end data analysis pipelines without any hassle. You'll start by building a content-based recommendation system, followed by building a project on sentiment analysis with tweets. You'll implement time-series modeling for anomaly detection, and understand cluster analysis of streaming data. You'll work through projects on performing efficient market data research, building recommendation systems, and analyzing networks accurately, all provided with easy to follow codes. With the help of these real-world projects, you'll get a better understanding of the challenges faced when building data analysis pipelines, and see how you can overcome them without compromising on the efficiency or accuracy of your systems. The book covers some popularly used R packages such as dplyr, ggplot2, RShiny, and others, and includes tips on using them effectively. By the end of this book, you'll have a better understanding of data analysis with R, and be able to put your knowledge to practical use without any hassle. Style and approach This book takes a unique, learn-as-you-do approach, as you build on your understanding of data analysis progressively with each project. This book is designed in a way that implementing each project will empower you with a unique skill set, and enable you to implement the next project more confidently.
In the last seven years, following the publication of the first edition of this book, the field of powder metallurgy has produced a number of advanced and useful technologies. In order to make the book relevant and useful to its target readership two new chapters have been added in its second edition. The chapter on Recent Advances in Micro- and Nano-fabrication through Powder Metallurgy deals with the fabrication of micro-grained bulk structure and for manufacturing of nano-sized components using metal and ceramic powders by recent techniques. The chapter on Additive Manufacturing (AM) discusses one of the most exciting innovations in the field of powder metallurgy in recent times. In the last three decades, a number of AM processes have been developed which use either laser sources or electron beams to fuse the metallic or ceramic or composite powders. The book covers most of the recent developments in powder metallurgy such as atomization, mechanical alloying, self-propagating high-temperature synthesis, metal injection moulding, and hot isostatic pressing. Model questions have been given at the end of each chapter. An appendix of relevant terms in powder metallurgy has also been included for ready reference. The book is primarily written for undergraduate and postgraduate students of Metallurgy, Material Science, Mechanical, and Production Engineering, as well as for practicing engineers in the field of powder metallurgy. TARGET AUDIENCE • UG and PG (Metallurgy, Material Science, Mechanical, and Production Engineering) • Practising Engineers in the field of Powder Metallurgy.
Get valuable insights from your data by building data analysis systems from scratch with R. About This Book A handy guide to take your understanding of data analysis with R to the next level Real-world projects that focus on problems in finance, network analysis, social media, and more From data manipulation to analysis to visualization in R, this book will teach you everything you need to know about building end-to-end data analysis pipelines using R Who This Book Is For If you are looking for a book that takes you all the way through the practical application of advanced and effective analytics methodologies in R, then this is the book for you. A fundamental understanding of R and the basic concepts of data analysis is all you need to get started with this book. What You Will Learn Build end-to-end predictive analytics systems in R Build an experimental design to gather your own data and conduct analysis Build a recommender system from scratch using different approaches Use and leverage RShiny to build reactive programming applications Build systems for varied domains including market research, network analysis, social media analysis, and more Explore various R Packages such as RShiny, ggplot, recommenderlab, dplyr, and find out how to use them effectively Communicate modeling results using Shiny Dashboards Perform multi-variate time-series analysis prediction, supplemented with sensitivity analysis and risk modeling In Detail R offers a large variety of packages and libraries for fast and accurate data analysis and visualization. As a result, it's one of the most popularly used languages by data scientists and analysts, or anyone who wants to perform data analysis. This book will demonstrate how you can put to use your existing knowledge of data analysis in R to build highly efficient, end-to-end data analysis pipelines without any hassle. You'll start by building a content-based recommendation system, followed by building a project on sentiment analysis with tweets. You'll implement time-series modeling for anomaly detection, and understand cluster analysis of streaming data. You'll work through projects on performing efficient market data research, building recommendation systems, and analyzing networks accurately, all provided with easy to follow codes. With the help of these real-world projects, you'll get a better understanding of the challenges faced when building data analysis pipelines, and see how you can overcome them without compromising on the efficiency or accuracy of your systems. The book covers some popularly used R packages such as dplyr, ggplot2, RShiny, and others, and includes tips on using them effectively. By the end of this book, you'll have a better understanding of data analysis with R, and be able to put your knowledge to practical use without any hassle. Style and approach This book takes a unique, learn-as-you-do approach, as you build on your understanding of data analysis progressively with each project. This book is designed in a way that implementing each project will empower you with a unique skill set, and enable you to implement the next project more confidently.
Sustainable energy services to customers - a balanced choice and coordination of energy generated by traditional and alternative sources - are the subject of this new innovative book. The myriad factors involved in modeling an effective sustainable power system are overwhelming. The “Green Islands” project represents a decade of work by over a dozen researchers who have developed a model designed to utilize the potential of distributed clean resources. The key is the proper use of Information Technology (IT). Sited on two islands in the Azores, the project developed the model of careful forecasting of demand and supply, down to the minute, coordinating the output of conventional power plants, wind energy, fly wheels, hydroelectricity, demand reduction, and even plug-in electric vehicles to take full advantage of the clean resources available. The energy contingencies of the remote islands are not unique. The issues of integrating promising clean technologies, such as wind, into a complex power grid are challenging in geographically far-flung, island-scale, power systems. Model-based sensing, communications, and decision-making algorithms to coordinate adaptive load management (ALM) could enable customers to utilize just-in-time (JIT), just-in-place (JIP), and just-in-context (JIC) energy resources. The distribution of flexible and efficient energy to customers is the goal. The model the authors have developed could change the way power portfolios are built. A new perspective for optimization of green energy is presented in this book. Additional data provided online via Springer represents a repository of real-world electric energy systems and its IT-enabled smarts.
This book presents Maple solutions to a wide range of problems relevant to chemical engineers and others. Many of these solutions use Maple’s symbolic capability to help bridge the gap between analytical and numerical solutions. The readers are strongly encouraged to refer to the references included in the book for a better understanding of the physics involved, and for the mathematical analysis. This book was written for a senior undergraduate or a first year graduate student course in chemical engineering. Most of the examples in this book were done in Maple 10. However, the codes should run in the most recent version of Maple. We strongly encourage the readers to use the classic worksheet (*. mws) option in Maple as we believe it is more user-friendly and robust. In chapter one you will find an introduction to Maple which includes simple basics as a convenience for the reader such as plotting, solving linear and nonlinear equations, Laplace transformations, matrix operations, ‘do loop,’ and ‘while loop. ’ Chapter two presents linear ordinary differential equations in section 1 to include homogeneous and nonhomogeneous ODEs, solving systems of ODEs using the matrix exponential and Laplace transform method. In section two of chapter two, nonlinear ordinary differential equations are presented and include simultaneous series reactions, solving nonlinear ODEs with Maple’s ‘dsolve’ command, stop conditions, differential algebraic equations, and steady state solutions. Chapter three addresses boundary value problems.
Substantial progress in the fight against extreme poverty was made in the last two decades. But the slowdown in global economic growth and significant increases in income inequality in many developed and developing countries raise serious concerns about the continuation of this trend into the 21st century. The time has come to seriously think about how improvements in official global governance, coupled with and reinforced by rising activism of 'global citizens' can lead to welfare-enhancing and more equitable results for global citizens through better national and international policies. This book examines the factors that are most likely to facilitate the process of beneficial economic growth in low-, middle-, and high-income countries. It examines past, present, and future economic growth; demographic changes; the hyperglobalization of trade; the effect of finance on growth; climate change and resource depletion; and the sense of global citizenship and the need for global governance in order to draw longer-term implications, identify policy options for improving the lives of average citizens around the world, and make the case for the need to confront new challenges with truly global policy responses. The book documents how demographic changes, convergence, and competition are likely to bring about massive shifts in the sectoral and geographical composition of global output and employment, as the center of gravity of the global economy moves toward Asia and emerging economies elsewhere. It shows that the legacies of the 2008-09 crisis-high unemployment levels, massive excess capacities, and high debt levels-are likely to reduce the standard of living of millions of people in many countries over a long period of adjustment and that fluctuations in international trade, financial markets, and commodity prices, as well as the tendency of institutions at both the national and international level to favor the interests of the better-off and more powerful pose substantial risks for citizens of all countries. The chapters and their policy implications are intended to stimulate public interest and facilitate the exchange of ideas and policy dialogue.
This paper presents simple computational techniques to examine a variety of effects of the Uruguay Round on developing country trade flows. These methods are applied to the cases of Egypt and Morocco to simulate the implications of the Round for their medium-term balance of payments. The analysis takes into account most-favored-nation tariff cuts, preference erosion, liberalization of trade in textiles and clothing, and potential increases in world food prices. The simulation results indicate that the overall balance of payments implications of the Uruguay Round for these countries, while negative, may not be very significant.
Focus on the most important clinical knowledge in neuro-ophthalmology! Walsh & Hoyt's Clinical Neuro-Ophthalmology: The Essentials distills the most vital content from the esteemed three-volume parent text, Walsh & Hoyt’s Clinical Neuro-Ophthalmology, widely acknowledged as the definitive reference in the field, to bring you just the practical, hands-on information you need to effectively evaluate and manage the majority of neuro-ophthalmic conditions. A concise, intuitive organization speeds your access to today’s best know-how, so you can efficiently provide optimal care to your patients. Features: Make the best use of the newest imaging techniques, including OCT, high-resolution CT/MRI, and multifocal ERG. Manage the full gamut of neuro-ophthalmological disorders with the aid of five sections that thoroughly cover the afferent visual system, the pupil, the efferent (oculomotor) system, the eyelid, and non-organic disorders. Glean information at a glance through a highly visual presentation that includes clear diagrams, tables, and images, many now in color. Evaluate complex eye movement disorders by viewing helpful videos online.
This work is aimed at the first level education system. It highlights interdependence of various processes in environment, and provides details of individual processes affecting water, air and soil. It also covers issues on environmental impact assessment with specific examples.
This book is a collection and compilation of various principles of renewable energy technologies and explores how we can use the sun, wind, biomass, geothermal, tidal and water resources to generate energy in a more sustainable form. Each chapter begins with the fundamental theory behind each technology illustrated with clear figures to understand the principle and applications. It also explains the fundamentals of energy, including the transfer of energy, as well as the limitations of natural resources. Starting with solar and wind energy, the text illustrates how energy from the sun, wind and water is transferred and converted into electricity. Other chapters cover methods of energy conversion, biomass energy, biofuel production and other new and renewable sources of energy such as geothermal, hydro, tidal, and ocean energy.
The book is a collection of essays written since 2010, and dealing, in one way or another, with the place of values in economic analysis. The centrality of values in the collection is not surprising, given that the thematic concerns informing the essays in the book relate principally to methodological issues in economic enquiry, to the normatively constrained aggregation of personal preferences into collective choice, and to problems of logical coherence and ethical appeal in the axiom systems underlying the measurement of economic and social phenomena such as poverty, inequality and literacy. While many of the essays are more or less technical in nature, they are all explicitly motivated by considerations that go beyond the formalisms of presentation to an involvement with the role of moral reasoning in economic analysis. In particular, the essays emphasize the importance of ‘ought propositions’ in a science which is all too often regarded as being wholly and exclusively ‘positive’ in its orientation. The book should be of particular interest to researchers, students, and public policy makers.
Magnetic fields permeate space and affect many major astrophysical phenomena, but they are often ignored due to their perceived complexity. This self-contained introduction to astrophysical magnetic fields provides both a comprehensive review of the current state of the subject and a critical discussion of the latest research. It presents our knowledge of magnetic fields from the Early Universe, their evolution in cosmic time through to their roles in present-day galaxies, galaxy clusters and the wider intergalactic medium, with attention given to both theory and observations. This volume also contains an extensive introduction into magnetohydrodynamics, numerous worked examples, observational and mathematical techniques and interpretations of the observations. Its review of our current knowledge, with an emphasis on results that are likely to form the basis for future progress, benefits a broad audience of advanced students and active researchers, including those from fields such as cosmology and general relativity.
A collection of articles by leading experts in theoretical computer science, this volume commemorates the 75th birthday of Professor Rani Siromoney, one of the pioneers in the field in India. The articles span the vast range of areas that Professor Siromoney has worked in or influenced, including grammar systems, picture languages and new models of computation.
This book presents the potential of bacterial cellulose in the textile and fashion industry. Most of the earlier work on the bacterial cellulose was focused on the bio technology application of cellulose, but the recent urge for the need of a sustainable material in the fashion and textile industries identified the scope of the bacterial cellulose in this aspect. The unique feature of this book is that it relates the bio technological aspects of bacterial cellulose with the sustainable issues in the fashion industry.
This book addresses key topics related to the broad subject of "Environmental Chemistry". The book tries to present the topics that are essential to understand the chemical process in our environment—involving air,, water, and soil. Chapters that are very much current such as environmental nuclear chemistry, analytical tools needed for chemical aspect of our environment, solid waste and management methodology, quality criteria for air and water have all been treated in a simple fashion so that a reader can refer to advanced books in specific topics for better understanding. A brief review of fundamentals of chemistry is also included. References are listed that are easily available in the subcontinent and also many commonly accessed websites are also mentioned for better and detailed information on specific topics or sub-topics. The book follows the syllabus for "Environmental Chemistry" by UGC for M.Sc. as ell as by AICTE for M.Tech/B.Tech students in environmental engineering. The contents can be covered either in one semester course or in an annual mode with spread out teaching. Topics mentioned in this book can also form independent modules.
Biofuels such as ethanol, butanol, and biodiesel have more desirable physico-chemical properties than base petroleum fuels (diesel and gasoline), making them more suitable for use in internal combustion engines. The book begins with a comprehensive review of biofuels and their utilization processes and culminates in an analysis of biofuel quality and impact on engine performance and emissions characteristics, while discussing relevant engine types, combustion aspects and effect on greenhouse gases. It will facilitate scattered information on biofuels and its utilization has to be integrated as a single information source. The information provided in this book would help readers to update their basic knowledge in the area of "biofuels and its utilization in internal combustion engines and its impact Environment and Ecology". It will serve as a reference source for UG/PG/Ph.D. Doctoral Scholars for their projects / research works and can provide valuable information to Researchers from Academic Universities and Industries. Key Features: • Compiles exhaustive information of biofuels and their utilization in internal combustion engines. • Explains engine performance of biofuels • Studies impact of biofuels on greenhouse gases and ecology highlighting integrated bio-energy system. • Discusses fuel quality of different biofuels and their suitability for internal combustion engines. • Details effects of biofuels on combustion and emissions characteristics.
In his new book, Arvind Subramanian presents the following possibilities: What if, contrary to common belief, China's economic dominance is a present-day reality rather than a faraway possibility? What if the renminbi's takeover of the dollar as the world's reserve currency is not decades, but mere years, away? And what if the United States's economic pre-eminence is not, as many economists and policymakers would like to believe, in its own hands, but China's to determine? Subramanian's analysis is based on a new index of economic dominance grounded in a historical perspective. His examination makes use of real-world examples, comparing China's rise with the past hegemonies of Great Britain and the United States. His attempt to quantify and project economic and currency dominance leads him to the conclusion that China's dominance is not only more imminent, but also broader in scope, and much larger in magnitude, than is currently imagined. He explores the profound effect this might have on the United States, as well as on the global financial and trade system. Subramanian concludes with a series of policy proposals for other nations to reconcile China's rise with continued openness in the global economic order, and to insure against China becoming a malign hegemon.
Substantial progress in the fight against extreme poverty was made in the last two decades. But the slowdown in global economic growth and significant increases in income inequality in many developed and developing countries raise serious concerns about the continuation of this trend into the 21st century. The time has come to seriously think about how improvements in official global governance, coupled with and reinforced by rising activism of 'global citizens' can lead to welfare-enhancing and more equitable results for global citizens through better national and international policies. This book examines the factors that are most likely to facilitate the process of beneficial economic growth in low-, middle-, and high-income countries. It examines past, present, and future economic growth; demographic changes; the hyperglobalization of trade; the effect of finance on growth; climate change and resource depletion; and the sense of global citizenship and the need for global governance in order to draw longer-term implications, identify policy options for improving the lives of average citizens around the world, and make the case for the need to confront new challenges with truly global policy responses. The book documents how demographic changes, convergence, and competition are likely to bring about massive shifts in the sectoral and geographical composition of global output and employment, as the center of gravity of the global economy moves toward Asia and emerging economies elsewhere. It shows that the legacies of the 2008-09 crisis-high unemployment levels, massive excess capacities, and high debt levels-are likely to reduce the standard of living of millions of people in many countries over a long period of adjustment and that fluctuations in international trade, financial markets, and commodity prices, as well as the tendency of institutions at both the national and international level to favor the interests of the better-off and more powerful pose substantial risks for citizens of all countries. The chapters and their policy implications are intended to stimulate public interest and facilitate the exchange of ideas and policy dialogue.
Take a holistic view of enterprise risk-adjusted return management in banking. This book recommends that a bank transform its siloed operating model into an agile enterprise model. It offers an event-driven, process-based, data-centric approach to help banks plan and implement an enterprise risk-adjusted return model (ERRM), keeping the focus on business events, processes, and a loosely coupled enterprise service architecture. Most banks suffer from a lack of good quality data for risk-adjusted return management. This book provides an enterprise data management methodology that improves data quality by defining and using data ontology and taxonomy. It extends the data narrative with an explanation of the characteristics of risk data, the usage of machine learning, and provides an enterprise knowledge management methodology for risk-return optimization. The book provides numerous examples for process automation, data analytics, event management, knowledge management, and improvements to risk quantification. The book provides guidance on the underlying knowledge areas of banking, enterprise risk management, enterprise architecture, technology, event management, processes, and data science. The first part of the book explains the current state of banking architecture and its limitations. After defining a target model, it explains an approach to determine the "gap" and the second part of the book guides banks on how to implement the enterprise risk-adjusted return model. What You Will Learn Know what causes siloed architecture, and its impact Implement an enterprise risk-adjusted return model (ERRM) Choose enterprise architecture and technology Define a reference enterprise architecture Understand enterprise data management methodology Define and use an enterprise data ontology and taxonomy Create a multi-dimensional enterprise risk data model Understand the relevance of event-driven architecture from business generation and risk management perspectives Implement advanced analytics and knowledge management capabilities Who This Book Is For The global banking community, including: senior management of a bank, such as the Chief Risk Officer, Head of Treasury/Corporate Banking/Retail Banking, Chief Data Officer, and Chief Technology Officer. It is also relevant for banking software vendors, banking consultants, auditors, risk management consultants, banking supervisors, and government finance professionals.
Offering authoritative, concise coverage of today's neuro-ophthalmology, Walsh & Hoyt's Clinical Neuro-Ophthalmology: The Essentials distills the most vital information from the esteemed three-volume parent text, Walsh & Hoyt's Clinical Neuro-Ophthalmology, into a convenient, single-volume resource. A practical and intuitive organization provides quick access to the essential information you need to effectively evaluate and manage the majority of neuro-ophthalmic conditions. Written by leaders in the field, this must-have fourth edition is a comprehensive, succinct, and clinically relevant reference for your everyday practice. Covers the full range of neuro-ophthalmological disorders with sections on the afferent visual system, the pupil, the efferent (oculomotor) system, the eyelid, and non-organic disorders. Splits coverage of the clinical exam and ancillary testing into two discrete sections--per reader requests. Includes new coverage of thyroid disease, and trigeminal autonomic cephalalgias, a new chapter on neuroimaging, and new information on types of optic neuritis (such as MOG- and NMO-related), papilledema (such as occurs in association with venous sinus stenosis), and other neuro-ophthalmic disorders. Offers a highly visual presentation that includes clear diagrams, tables, and color images, including clinical correlations with OCT, high-resolution CT/MRI, and multifocal ERG. Provides access to videos of complex eye movement and pupillary disorders online, many new to this edition. Enrich Your eBook Reading Experience Read directly on your preferred device(s), such as computer, tablet, or smartphone. Easily convert to audiobook, powering your content with natural language text-to-speech.
The Basics of Troubleshooting in Plastics Processing is a condensed practical guide that gives the reader a broad introduction to properties of thermoplastics plastics, additives, the major processes (extrusion, injection molding, rotational molding, blow molding, and thermoforming), as well as troubleshooting. The main goal is to provide the plastics processor with an improved understanding of the basics by explaining the science behind the technology. Machine details are minimized as the emphasis is on processing problems and the defects in an effort to focus on basic root causes to problems and how to solve them. The book’s framework is troubleshooting in plastics processing because of the importance it has to the eventual production of high quality end products. Each chapter contains both practical and detailed technical information. This basic guide provides state-of-the-art information on: Processing problems and defects during manufacturing Plastics materials, their properties and characterization The plastics processing techniques Plastics additives Troubleshooting of the 5 main plastics processes References for further reading
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