This book offers a unique account on the life and works of Srinivasa Ramanujan—often hailed as the greatest “natural” mathematical genius. Sharing valuable insights into the many stages of Ramanujan’s life, this book provides glimpses into his prolific research on highly composite numbers, partitions, continued fractions, mock theta functions, arithmetic, and hypergeometric functions which led the author to discover a new summation theorem. It also includes the list of Ramanujan’s collected papers, letters and other material present at the Wren Library, Trinity College in Cambridge, UK. This book is a valuable resource for all readers interested in Ramanujan’s life, work and indelible contributions to mathematics.
This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies. Comprehensive in scope, the book presents state-of-the-art material on building high performance distributed computing systems, providing practical guidance and best practices as well as describing theoretical software frameworks. Features: describes the fundamentals of building scalable software systems for large-scale data processing in the new paradigm of high performance distributed computing; presents an overview of the Hadoop ecosystem, followed by step-by-step instruction on its installation, programming and execution; Reviews the basics of Spark, including resilient distributed datasets, and examines Hadoop streaming and working with Scalding; Provides detailed case studies on approaches to clustering, data classification and regression analysis; Explains the process of creating a working recommender system using Scalding and Spark.
Accessible, concise, and clinically focused, Essentials of Pain Medicine, 4th Edition, by Drs. Honorio T. Benzon, Srinivasa N. Raja, Scott M. Fishman, Spencer S. Liu, and Steven P. Cohen, presents a complete, full-color overview of today’s theory and practice of pain medicine and regional anesthesia. It provides practical guidance on the full range of today’s pharmacologic, interventional, neuromodulative, physiotherapeutic, and psychological management options for the evaluation, treatment, and rehabilitation of persons in pain. Covers all you need to know to stay up to date in practice and excel at examinations – everything from basic considerations through local anesthetics, nerve block techniques, acupuncture, cancer pain, and much more. Uses a practical, quick-reference format with short, easy-to-read chapters. Presents the management of pain for every setting where it is practiced, including the emergency room, the critical care unit, and the pain clinic. Features hundreds of diagrams, illustrations, summary charts and tables that clarify key information and injection techniques – now in full color for the first time. Includes the latest best management techniques, including joint injections, ultrasound-guided therapies, and new pharmacologic agents (such as topical analgesics). Discusses recent global developments regarding opioid induced hyperalgesia, addiction and substance abuse, neuromodulation and pain management, and identification of specific targets for molecular pain.
Fluid Mechanics has transformed from fundamental subject to application-oriented subject. Over the years, numerous experts introduced number of books on the theme. Majority of them are rather theoretical with numerical problems and derivations. However, due to increase in computational facilities and availability of MATLAB and equivalent software tools, the subject is also transforming into computational perspective. We firmly believe that this new dimension will greatly benefit present generation students. The present book is an effort to tackle the subject in MATLAB environment and consists of 16 chapters. The book can support undergraduate students in fluid mechanics, and can also be referred to as a text/reference book. KEY FEATURES • Explanation of Fluid Mechanics in MATLAB in structured and lucid manner • 161 Example Problems supported by corresponding MATLAB codes compatible with 2016a version • 162 Exercise Problems for reinforced learning • 12 MP4 Videos for the demonstration of MATLAB codes for effective understanding while enhancing thinking ability of readers • A Question Bank containing 261 Representative Questions and 120 Numerical Problems TARGET AUDIENCE Students of B.E/B.Tech and AMIE (Civil, Mechanical and Chemical Engineering) &Useful to students preparing for GATE and UPSC examinations.
This textbook tackles the matter of contemporary learners’ needs, and introduces modern learning, teaching, and assessment methods. It provides a deeper understanding of these methods so that the students and teachers can create teaching and learning opportunities for themselves and others. It explores the meaning of ‘pedagogy’, why it is essential, and how pedagogy has evolved to take 21st-century skills and learning into account. This textbook showcases various modern learning, teaching, and assessment methods for contemporary learners in an increasingly digital environment. Each chapter presents insights and case studies that show how such modern methods can be applied to classrooms, and how they can support the existing curriculum. It shows students, educators, and researchers alike how to effectively make sense of and use modern learning, teaching, and assessment methods in everyday practice.
This book reimagines education in today’s Artificial Intelligence (AI) world and the Fourth Industrial Revolution. Artificial intelligence will drastically affect every industry and sector, and education is no exception. This book aims at how AI may impact the teaching and learning process in education. This book is designed to demystify AI for teachers and learners. This book will help improve education and support institutions in the phenomena of the emergence of AI in teaching and learning. This book presents a comprehensive study of how AI improves teaching and learning, from AI-based learning platforms to AI-assisted proctored examinations. This book provides educators, learners, and administrators on how AI makes sense in their everyday practice. Describing the application of AI in ten key aspects, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the teaching and learning process and environments that students need to thrive. The readers of this book never fall behind the fast pace and promising innovations of today’s most advanced learning technology.
Micro-electronics, micro-optics and micro-mechanical components form an integral part of advanced engineered products coming under the broad area of precision engineering. This book covers theme articles and research reports covering the broad area of precision engineering.
The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow - ponentially. Much of the data is implicitly or explicitly imprecise. Database discovery seeks to discover noteworthy, unrecognized associations between the data items in the existing database. The potential of discovery comes from the realization that alternate contexts may reveal additional valuable information. The rate at which the data is storedis growing at a phenomenal rate. Asaresult,traditionaladhocmixturesofstatisticaltechniquesanddata managementtools are no longer adequate for analyzing this vast collection of data. Severaldomainswherelargevolumesofdataarestoredincentralizedor distributeddatabasesincludesapplicationslikeinelectroniccommerce,bio- formatics, computer security, Web intelligence, intelligent learning database systems,?nance,marketing,healthcare,telecommunications,andother?elds. E?cient tools and algorithms for knowledge discovery in large data sets have been devised during the recent years. These methods exploit the ca- bility of computers to search huge amounts of data in a fast and e?ective manner. However,the data to be analyzed is imprecise and a?icted with - certainty. In the case of heterogeneous data sources such as text and video, the data might moreover be ambiguous and partly con?icting. Besides, p- terns and relationships of interest are usually approximate. Thus, in order to make the information mining process more robust it requires tolerance toward imprecision, uncertainty and exceptions.
This book focuses on social network analysis from a computational perspective, introducing readers to the fundamental aspects of network theory by discussing the various metrics used to measure the social network. It covers different forms of graphs and their analysis using techniques like filtering, clustering and rule mining, as well as important theories like small world phenomenon. It also presents methods for identifying influential nodes in the network and information dissemination models. Further, it uses examples to explain the tools for visualising large-scale networks, and explores emerging topics like big data and deep learning in the context of social network analysis. With the Internet becoming part of our everyday lives, social networking tools are used as the primary means of communication. And as the volume and speed of such data is increasing rapidly, there is a need to apply computational techniques to interpret and understand it. Moreover, relationships in molecular structures, co-authors in scientific journals, and developers in a software community can also be understood better by visualising them as networks. This book brings together the theory and practice of social network analysis and includes mathematical concepts, computational techniques and examples from the real world to offer readers an overview of this domain.
In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open source and easy to use. After providing an overview of the background of data analytics, covering the different types of analysis and the basics of using Hadoop as a tool, it focuses on different Hadoop ecosystem tools, like Apache Flume, Apache Spark, Apache Storm, Apache Hive, R, and Python, which can be used for different types of analysis. It then examines the different machine learning techniques that are useful for data analytics, and how to visualize data with different graphs and charts. Presenting data analytics from a practice-oriented viewpoint, the book discusses useful tools and approaches for data analytics, supported by concrete code examples. The book is a valuable reference resource for graduate students and professionals in related fields, and is also of interest to general readers with an understanding of data analytics.
This Book Brings Out The Possibilities Of Generalizations Of Behaviour Of Soils And Hence Of Predicting The Required Engineering Properties Without Elaborate Testing. We Recognize That A Single Approach Cannot Be Evolved For All Soil Types And Hence The Necessity For Classifying Soils Into Different Categories And To Use Appropriate Model For Each. First Of All, Based On Mechanism Of Stress Transfer And Interaction Between The Phases, Two Obvious Classes, The Fine Grained And Coarse-Grained Soils Have Been Differentiated.The Discussions Bring Out That Because Of Identical Mode Of Stress Transfer, The Mechanical Behaviour I.E., Compressibility, Shear Strength Relations, Permeability Variations Etc. Can Be Generalized For All Fine Grained Soils, Enabling The Prediction Of Behaviour Of Such Soils With Just The Knowledge Of Certain State And Index Properties. The Sequence Of Discussion Is On The Characterization Of Specific Soil States And Prediction Of Proportion Starting From The Ideal Saturated Uncemented Soils, Both Normally And Over Consolidated, Cemented Saturated Soils And Partly Saturated Soils.In Dealing With The Behaviour Of Coarse Grained Soils, The Importance Of Microfabric And The Difficulties In Possible Generalizations Are Discussed. Perhaps The Unique Feature Of This Book Is That The Division Of The Chapters Is Based On Different Soil States, All The Mechanical Behaviours Being Discussed Under Each Soil State.The Book Will Be Of Interest To Both Academicians And Practising Engineers, Researchers And Postgraduate Students. It Would Serve As A Textbook For Undergraduate Students With Prior Knowledge Of Basic Soil Mechanics.
This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.
This Book Is Designed As Per The Syllabus Presented By Various Indian Universities Including Bangalore University. The Book Has The Following Distinct Features: * It Explains The Concepts In A Simple And Lucid Language With Suitable Examples, Diagrams And Tables. * Each Chapter Includes List Of Formulae, Large Number Of Solved Examples, Additional Practice Problems With Answers. * Examples Have Been Graded With Care. * Previous Years Question Papers Included.The Book Would Serve As An Excellent Text For Not Only Bbm Students But Also Those Preparing For C.A., M.B.A.Icwa (Inter) And C.S. Examinations.
Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solution using cloud. It includes the fundamentals of neural networks, different types and how they can be used for the multi-modal information analytics. The various application areas that are image-centric and videos are also presented with deployment solutions in the cloud. Features Life cycle of the multi- modal data analytics is discussed with applications of modalities of text, image, and video. Deep Learning fundamentals and architectures covering convolutional Neural Networks, recurrremt neural networks, and types of learning for different multi-modal networks. Applications of Multi-Modal Analytics covering Text , Speech, and Image. This book is aimed at researchers in Multi-modal analytics and related areas
This book introduces the Search for Extraterrestrial Intelligence (SETI), discusses its origins, and explores various research methods and resources for enthusiasts. It assesses SETI’s scientific legitimacy and ideas over the past three to four decades, arguing for complementary efforts in interstellar travel, alien societies, and intelligent life. As well as this, it raises the question of whether life on Earth is from an alien system, discusses hypothetical scenarios for successful communication, and discusses the pros and cons of radio astronomy. This book also discusses the Drake equation and its significance in finding alien civilizations in the universe or multiverses, and explains evidential signals, distributed computing, AI algorithms, and data categorization techniques. This book proposes and debates on an estimation of SETI using hyperbolic chances and views SETI in connection with parallel universes, bubble universe collision and tetra toroidal form.
Every two years, the International Association for the Study of Pain publishes a compendium of benchmark papers that summarize the current status of pain research, treatment, and management throughout the world. Presented at the 15th World Congress on Pain in Buenos Aires in October 2014, these papers represent the thinking of the world's top pain scientists and clinicians. IASP distributes this book to participants in the Refresher Courses, and it is now available to pain researchers and clinicians who were unable to attend the Congress.
This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies. Comprehensive in scope, the book presents state-of-the-art material on building high performance distributed computing systems, providing practical guidance and best practices as well as describing theoretical software frameworks. Features: describes the fundamentals of building scalable software systems for large-scale data processing in the new paradigm of high performance distributed computing; presents an overview of the Hadoop ecosystem, followed by step-by-step instruction on its installation, programming and execution; Reviews the basics of Spark, including resilient distributed datasets, and examines Hadoop streaming and working with Scalding; Provides detailed case studies on approaches to clustering, data classification and regression analysis; Explains the process of creating a working recommender system using Scalding and Spark.
This book offers a unique account on the life and works of Srinivasa Ramanujan—often hailed as the greatest “natural” mathematical genius. Sharing valuable insights into the many stages of Ramanujan’s life, this book provides glimpses into his prolific research on highly composite numbers, partitions, continued fractions, mock theta functions, arithmetic, and hypergeometric functions which led the author to discover a new summation theorem. It also includes the list of Ramanujan’s collected papers, letters and other material present at the Wren Library, Trinity College in Cambridge, UK. This book is a valuable resource for all readers interested in Ramanujan’s life, work and indelible contributions to mathematics.
This discovery of carbon nanotubes (CNT) three decades ago ushered in the technological era of nanotechnology. Among the most widely studied areas of CNT research is their use as structural reinforcements in composites. This book describes the development of CNT reinforced metal matrix composites (CNT-MMCs) over the last two decades. The field of CNT-MMCs is abundant in fundamental science, rich in engineering challenges and innovations and ripe for technological maturation and commercialization. The authors have sought to present the current state of the-art in CNT-MMC technology from their synthesis to their myriad potential end-use applications. Specifically, topics explored include: • Advantages, limitations, and evolution of processing techniques used to synthesize and fabricate CNT-MMCs • Emphasizes dispersion techniques of CNTs in metallic systems, a key challenge to the successful and widespread implementation of CNT-MMCs. Methods for quantification and improved control of CNT distributions are presented • Methods for quantification and improved control of CNT distributions are presented • Characterization techniques uniquely suited for charactering these nanoscale materials and their many chemical and physical interactions with the metal matrix, including real-time in-situ characterization of deformation mechanisms • Electron microscope images from premier studies enrich discussions on micro-mechanical modeling, interfacial design, mechanical behavior, and functional properties • A chapter is dedicated to the emergence of dual reinforcement composites that seek to enhance the efficacy of CNTs and lead to material properties by design This book highlights seminal findings in CNT-MMC research and includes several tables listing processing methods, associated CNT states, and resulting properties in order to aid the next generation of researchers in advancing the science and engineering of CNT-MMCs. In addition, a survey of the patent literature is presented in order to shed light on what the first wave of CNT-MMC commercialization may look like and the challenges that will have to be overcome, both technologically and commercially.
Professor Srinivasa Rao's text on Linear Algebra and Group Theory is directed to undergraduate and graduate students who wish to acquire a solid theoretical foundation in these mathematical topics which find extensive use in physics. Based on courses delivered during Professor Srinivasa Rao's long career at the University of Mysore, this text is remarkable for its clear exposition of the subject. Advanced students will find a range of topics such as the Representation theory of Linear Associative Algebras, a complete analysis of Dirac and Kemmer algebras, Representations of the Symmetric group via Young Tableaux, a systematic derivation of the Crystallographic point groups, a comprehensive and unified discussion of the Rotation and Lorentz groups and their representations, and an introduction to Dynkin diagrams in the classification of Lie groups. In addition, the first few chapters on Elementary Group Theory and Vector Spaces also provide useful instructional material even at an introductory level. An authority on diverse aspects of mathematical physics, Professor K N Srinivasa Rao taught at the University of Mysore until 1982 and was subsequently at the Indian Institute of Science, Bangalore. He has authored a number of texts, among them being ""The Rotation and Lorentz Groups and their Representations for Physicists"" (Wiley, 1988) and ""Classical Mechanics"" (Universities Press, 2003). The first edition of ""Linear Algebra and Group Theory for Physicists"" was co-published in 1996 by New Age International, and Wiley, New York.
The book investigates stability theory in terms of two different measure, exhibiting the advantage of employing families of Lyapunov functions and treats the theory of a variety of inequalities, clearly bringing out the underlying theme. It also demonstrates manifestations of the general Lyapunov method, showing how this technique can be adapted to various apparently diverse nonlinear problems. Furthermore it discusses the application of theoretical results to several different models chosen from real world phenomena, furnishing data that is particularly relevant for practitioners. Stability Analysis of Nonlinear Systems is an invaluable single-sourse reference for industrial and applied mathematicians, statisticians, engineers, researchers in the applied sciences, and graduate students studying differential equations.
A large number of physical phenomena are modeled by nonlinear partial differential equations, subject to appropriate initial/ boundary conditions; these equations, in general, do not admit exact solution. The present monograph gives constructive mathematical techniques which bring out large time behavior of solutions of these model equations. These approaches, in conjunction with modern computational methods, help solve physical problems in a satisfactory manner. The asymptotic methods dealt with here include self-similarity, balancing argument, and matched asymptotic expansions. The physical models discussed in some detail here relate to porous media equation, heat equation with absorption, generalized Fisher's equation, Burgers equation and its generalizations. A chapter each is devoted to nonlinear diffusion and fluid mechanics. The present book will be found useful by applied mathematicians, physicists, engineers and biologists, and would considerably help understand diverse natural phenomena.
This book explores the significance of soil microbial diversity to understand its utility in soil functions, ecosystem services, environmental sustainability, and achieving the sustainable development goals. With a focus on agriculture and environment, the book highlights the importance of the microbial world by providing state-of-the-art technologies for examining the structural and functional attributes of soil microbial diversity for applications in healthcare, industrial biotechnology, and bioremediation studies. In seven chapters, the book will act as a primer for students, environmental biotechnologists, microbial ecologists, plant scientists, and agricultural microbiologists. Chapter 1 introduces readers to the soil microbiome, and chapter 2 discusses the below ground microbial world. Chapter 3 addresses various methods for exploring microbial diversity, chapter 4 discusses the genomics methods, chapter 5 provides the metaproteomics and metatranscriptomics approaches and chapter 6 details the bioinformatics tools for soil microbial community analysis, and chapter 7 concludes the text with future perspectives on further soil microbial uses and applications.
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