Nanotechnology in Industrial Wastewater Treatment is a state of the art reference book. The book is particularly useful for wastewater technology development laboratories and organizations. All professional and academic areas connected with environmental engineering, nanotechnology based wastewater treatment and related product design are incorporated and provide an essentialresource. The book describes the application and synthesis of Ca-based and magnetic nano-materials and their potential application for removal/treatment of heavy metals from wastewater. Nanotechnology in Industrial Wastewater Treatment discusses the rapid wastewater treatment methods using Ca-based nanomaterials and magnetic nanomaterials. This is an emerging area of new science and technology in wastewater treatment. The main audiences for the book are water industry professionals, research scholars and students in the area of Environmental Engineering and Nanotechnology. Authors: Dr. Arup Roy Department of Mining Engineering, Geo-Environmental Lab., Indian Institute of Technology, Kharagpur,India; and Professor Jayanta Bhattacharya, Department of Mining Engineering, Geo-Environmental Lab., Indian Institute of Technology, Kharagpur, India.
This is an introductory book on Non-Commutative Probability or Free Probability and Large Dimensional Random Matrices. Basic concepts of free probability are introduced by analogy with classical probability in a lucid and quick manner. It then develops the results on the convergence of large dimensional random matrices, with a special focus on the interesting connections to free probability. The book assumes almost no prerequisite for the most part. However, familiarity with the basic convergence concepts in probability and a bit of mathematical maturity will be helpful. Combinatorial properties of non-crossing partitions, including the Möbius function play a central role in introducing free probability. Free independence is defined via free cumulants in analogy with the way classical independence can be defined via classical cumulants. Free cumulants are introduced through the Möbius function. Free product probability spaces are constructed using free cumulants. Marginal and joint tracial convergence of large dimensional random matrices such as the Wigner, elliptic, sample covariance, cross-covariance, Toeplitz, Circulant and Hankel are discussed. Convergence of the empirical spectral distribution is discussed for symmetric matrices. Asymptotic freeness results for random matrices, including some recent ones, are discussed in detail. These clarify the structure of the limits for joint convergence of random matrices. Asymptotic freeness of independent sample covariance matrices is also demonstrated via embedding into Wigner matrices. Exercises, at advanced undergraduate and graduate level, are provided in each chapter.
This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U-statistics and Mm-estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R.
What changes are occurring at the macro and the sectoral levels, how the labour market changes are taking place and what impact is felt on the low income households are some of the questions that the present volume focuses on. It begins by examining the sectoral composition of growth, revisiting the issues related to industry-services balance, and also brings out the spatial dimension of growth. On the one hand the industry does not seem to have played a major role in the context of employment generation as imported technology is by and large capital intensive in nature. On the other hand, the services-led growth is seen to have reduced the pace of poverty reduction. Given the services-led growth the possible impact of trade in services on employment both in the formal and informal sectors have been worked out, indicating limited positive spill-over effects. The labour market outcomes are brought out with great details suggesting that rapid economic growth in India could not result in productive employment generation on a large scale. The gender dimensions of employment are brought out to verify if reduction in labour market inequality can result in improving the position of women in other spheres encompassing the decision making process both within the household and outside the household. Issues relating to urbanisation and rural-urban migration are also covered to understand the dynamics of urban poverty and to bring out the challenges of population transfer given the spatial concentration of growth. The job search practices pursued by the low income households are often pursued in terms of informal networks. What problems are associated with such mechanisms in experiencing improvements in wellbeing levels are covered in the present volume. On the whole, the volume offers an explanation of limited poverty reduction in a situation of rapid economic growth on the basis of an inter-disciplinary framework though efforts are being made to keep the methodology quantitatively rigorous.
Large Covariance and Autocovariance Matrices brings together a collection of recent results on sample covariance and autocovariance matrices in high-dimensional models and novel ideas on how to use them for statistical inference in one or more high-dimensional time series models. The prerequisites include knowledge of elementary multivariate analysis, basic time series analysis and basic results in stochastic convergence. Part I is on different methods of estimation of large covariance matrices and auto-covariance matrices and properties of these estimators. Part II covers the relevant material on random matrix theory and non-commutative probability. Part III provides results on limit spectra and asymptotic normality of traces of symmetric matrix polynomial functions of sample auto-covariance matrices in high-dimensional linear time series models. These are used to develop graphical and significance tests for different hypotheses involving one or more independent high-dimensional linear time series. The book should be of interest to people in econometrics and statistics (large covariance matrices and high-dimensional time series), mathematics (random matrices and free probability) and computer science (wireless communication). Parts of it can be used in post-graduate courses on high-dimensional statistical inference, high-dimensional random matrices and high-dimensional time series models. It should be particularly attractive to researchers developing statistical methods in high-dimensional time series models. Arup Bose is a professor at the Indian Statistical Institute, Kolkata, India. He is a distinguished researcher in mathematical statistics and has been working in high-dimensional random matrices for the last fifteen years. He has been editor of Sankhyā for several years and has been on the editorial board of several other journals. He is a Fellow of the Institute of Mathematical Statistics, USA and all three national science academies of India, as well as the recipient of the S.S. Bhatnagar Award and the C.R. Rao Award. His first book Patterned Random Matrices was also published by Chapman & Hall. He has a forthcoming graduate text U-statistics, M-estimates and Resampling (with Snigdhansu Chatterjee) to be published by Hindustan Book Agency. Monika Bhattacharjee is a post-doctoral fellow at the Informatics Institute, University of Florida. After graduating from St. Xavier's College, Kolkata, she obtained her master’s in 2012 and PhD in 2016 from the Indian Statistical Institute. Her thesis in high-dimensional covariance and auto-covariance matrices, written under the supervision of Dr. Bose, has received high acclaim.
This monograph critically analyses the historical evolution of ideas, perceptions and principles on higher education and unravels a few of its interlinked aspects – content, quality, standard, massification, privatization and commercialization. It presents both original and penetrative critique of neoliberal ideas and policies reigning higher education since World War II. The volume argues that with the proliferation of ‘academic capitalism’ the academic quality of higher education has been inevitably compromised and it has thereby heralded a comprehensive ‘intellectual retrogression’. The book offers a meticulous evaluation of global research reflecting on impeccable evidence of decline in academic learning – in its effort, quality, standards and overall intellectual level and rigour. Finally, it illuminates why it is dangerous to continue clinging ideationally to neoliberal reign in education and thereby evading or effacing some of the lasting and universal wisdoms and precepts of the educational reign preceding neoliberal marketoriented predominancy. The book will be of interest to students, teachers and researchers of education, higher education, sociology of education, economics and politics of education. It will also be useful for academicians, higher education administration, policymakers, schoolteachers and those interested in debates and issues around higher education.
A Compendium of Essays on Alternative Therapy is aimed at both conventional and alternate therapy practitioners, besides serving as an educational tool for students and lay persons on the progress made in the field. While this resource is not all-inclusive, it does reflect the current theories from different international experts in the field. This will hopefully stimulate more research initiatives, funding, and critical insight in the already increasing demand for alternate therapies that has been evidenced worldwide.
Adam’s Bridge offers the first comprehensive transdisciplinary study of the famous eponymous tombolo (also known as Ram Setu) combining its sacral, historical, geological, political, performative, and heritage aspects into one framework, viewed under the critical lenses of island studies and cultural theory. The book elucidates the entanglement of Adam’s Bridge’s discursive history with India’s colonial history, contemporary geology, domestic politics, and the nation’s emerging position in a complex geopolitical order in and around the Indian Ocean region, vis-à-vis increasing Sino-American involvement in Indo-Sri Lankan relations. Without foregrounding any absolute scientific claims on the location of the sandbars that inspired sage Valmiki’s Ram Setu and the Ramayan legacy or hindering narratives of religious faiths and folklore revolving around the structure, this intellectual historiography traces the parallel evolution of traditions of compassionate questioning and devotion for Indic sacred beliefs among commentators across the millennia from both Indian and non-Indian spectra, seen in juxtaposition with the biotic and abiotic diversity of the Gulf of Mannar and Palk Bay. Looking beyond secular-versus-religious debates, this book will be of interest to scholars of ocean and island studies, coastal economies, archipelagic geographies, environmental history, heritage studies, colonial studies, and cultural theory. Adam’s Bridge unifies a consortium of themes, ranging across ecological and livelihood sustainability, environmentalism, soteriology, economic and geostrategic history, and the United Nations Convention on the Law of the Sea, in conceptualizing a compellingly nuanced chronicle for India’s enchanted ‘bridge.’
Circulant matrices have been around for a long time and have been extensively used in many scientific areas. This book studies the properties of the eigenvalues for various types of circulant matrices, such as the usual circulant, the reverse circulant, and the k-circulant when the dimension of the matrices grow and the entries are random. In particular, the behavior of the spectral distribution, of the spectral radius and of the appropriate point processes are developed systematically using the method of moments and the various powerful normal approximation results. This behavior varies according as the entries are independent, are from a linear process, and are light- or heavy-tailed. Arup Bose obtained his B.Stat., M.Stat. and Ph.D. degrees from the Indian Statistical Institute. He has been on its faculty at the Theoretical Statistics and Mathematics Unit, Kolkata, India since 1991. He is a Fellow of the Institute of Mathematical Statistics, and of all three national science academies of India. He is a recipient of the S.S. Bhatnagar Prize and the C.R. Rao Award. He is the author of three books: Patterned Random Matrices, Large Covariance and Autocovariance Matrices (with Monika Bhattacharjee) and U-Statistics, M_m-Estimators and Resampling (with Snigdhansu Chatterjee). Koushik Saha obtained a B.Sc. in Mathematics from Ramakrishna Mission Vidyamandiara, Belur and an M.Sc. in Mathematics from Indian Institute of Technology Bombay. He obtained his Ph.D. degree from the Indian Statistical Institute under the supervision of Arup Bose. His thesis on circulant matrices received high praise from the reviewers. He has been on the faculty of the Department of Mathematics, Indian Institute of Technology Bombay since 2014.
Discover the latest developments in multi-robot coordination techniques with this insightful and original resource Multi-Agent Coordination: A Reinforcement Learning Approach delivers a comprehensive, insightful, and unique treatment of the development of multi-robot coordination algorithms with minimal computational burden and reduced storage requirements when compared to traditional algorithms. The accomplished academics, engineers, and authors provide readers with both a high-level introduction to, and overview of, multi-robot coordination, and in-depth analyses of learning-based planning algorithms. You'll learn about how to accelerate the exploration of the team-goal and alternative approaches to speeding up the convergence of TMAQL by identifying the preferred joint action for the team. The authors also propose novel approaches to consensus Q-learning that address the equilibrium selection problem and a new way of evaluating the threshold value for uniting empires without imposing any significant computation overhead. Finally, the book concludes with an examination of the likely direction of future research in this rapidly developing field. Readers will discover cutting-edge techniques for multi-agent coordination, including: An introduction to multi-agent coordination by reinforcement learning and evolutionary algorithms, including topics like the Nash equilibrium and correlated equilibrium Improving convergence speed of multi-agent Q-learning for cooperative task planning Consensus Q-learning for multi-agent cooperative planning The efficient computing of correlated equilibrium for cooperative q-learning based multi-agent planning A modified imperialist competitive algorithm for multi-agent stick-carrying applications Perfect for academics, engineers, and professionals who regularly work with multi-agent learning algorithms, Multi-Agent Coordination: A Reinforcement Learning Approach also belongs on the bookshelves of anyone with an advanced interest in machine learning and artificial intelligence as it applies to the field of cooperative or competitive robotics.
This volume provides recent developments and a state-of-the-art review in various areas of mathematical modeling, computation and optimization. It contains theory, computation as well as the applications of several mathematical models to problems in statistics, games, optimization and economics for decision making. It focuses on exciting areas like models for wireless networks, models of Nash networks, dynamic models of advertising, application of reliability models in economics, support vector machines, optimization, complementarity modeling and games.
Artificial Intelligence (AI) and related propels are logically dominating in business and society, and are beginning to be applied to clinical benefits. These advancements might perhaps change various pieces of patient thought, as well as administrative cycles inside the provider, payer, and medication affiliations. There are currently different investigation studies recommending that AI can continue as well as or better than individuals at key clinical benefits tasks, such as diagnosing disease. Today, estimations are at this point beating radiologists at spotting perilous developments and guiding experts in how to fabricate associates for costly clinical starters. In any case, in light of multiple factors, we acknowledge that it will be various earlier years AI replaces individuals for far-reaching clinical cycle regions. In this article, we depict both the potential that AI offers to robotize parts of care and a piece of the blocks too fast execution of AI in clinical benefits.
Urbanisation in the literature of development economics is expected to bring in a spectrum of social and economic transformations. With this framework in mind, this book focuses on various aspects of urbanisation in India and its impact on socio-economic variables. The study has been conducted at various levels of disaggregation such as state, district and city and the data is sourced from population census, NSSO's surveys on employment-unemployment schemes and results and consumption expenditure, and primary surveys on slum households conducted by the author. Urbanisation is studied as a process particular to developing countries, contextualising it within the study of India. While this brings about gradual changes contributing to overall growth, the pace is remarkably slow. It brings to the forefront the resilience of the social system that can be mitigated through significant interventions into some of the economic variables. Various policy implications of the evidence based research are discussed at the end of each chapter.
How viruses emerge to cause pandemics, how our immune system combats them, and how diagnostic tests, vaccines, and antiviral therapies work. Throughout history, humans have contended with pandemics. History is replete with references to plagues, pestilence, and contagion, but the devastation wrought by pandemics had been largely forgotten by the twenty-first century. Now, the enormous human and economic toll of the rapidly spreading COVID-19 disease offers a vivid reminder that infectious disease pandemics are one of the greatest existential threats to humanity. This book provides an accessible explanation of how viruses emerge to cause pandemics, how our immune system combats them, and how diagnostic tests, vaccines, and antiviral therapies work-- concepts that are a foundation for our public health policies.
Provides a comprehensive introduction to ion exchange for beginners and in-depth coverage of the latest advances for those already in the field As environmental and energy related regulations have grown, ion exchange has assumed a dominant role in offering solutions to many concurrent problems both in the developed and the developing world. Written by an internationally acknowledged leader in ion exchange research and innovation, Ion Exchange: in Environmental Processes is both a comprehensive introduction to the science behind ion exchange and an expert assessment of the latest ion exchange technologies. Its purpose is to provide a valuable reference and learning tool for virtually anyone working in ion exchange or interested in becoming involved in that incredibly fertile field. Written for beginners as well as those already working the in the field, Dr. SenGupta provides stepwise coverage, advancing from ion exchange fundamentals to trace ion exchange through the emerging area of hybrid ion exchange nanotechnology (or polymeric/inorganic ion exchangers). Other topics covered include ion exchange kinetics, sorption and desorption of metals and ligands, solid-phase and gas-phase ion exchange, and more. Connects state-of-the-art innovations in such a way as to help researchers and process scientists get a clear picture of how ion exchange fundamentals can lead to new applications Covers the design of selective or smart ion exchangers for targeted applications—an area of increasing importance—including solid and gas phase ion exchange processes Provides in-depth discussion on intraparticle diffusion controlled kinetics for selective ion exchange Features a chapter devoted to exciting developments in the areas of hybrid ion exchange nanotechnology or polymeric/inorganic ion exchangers Written for those just entering the field of ion exchange as well as those involved in developing the “next big thing” in ion exchange systems, Ion Exchange in Environmental Processes is a valuable resource for students, process engineers, and chemists working in an array of industries, including mining, microelectronics, pharmaceuticals, energy, and wastewater treatment, to name just a few.
In September 1600, Queen Elizabeth and London are made to believe that the East India Company will change England's fortunes forever. With William Shakespeare's death, the heart of Albion starts throbbing with four centuries of an extraordinary Indian settlement that Arup K. Chatterjee christens as Typogravia. In five acts that follow, we are taken past the churches destroyed by the fire of Pudding Lane; the late eighteenth-century curry houses in Mayfair and Marylebone; and the coming of Indian lascars, ayahs, delegates, students and lawyers in London. From the baptism of Peter Pope (in the year Shakespeare died) to the death of Catherine of Bengal; the chronicles of Joseph Emin, Abu Taleb and Mirza Ihtishamuddin to Sake Dean Mahomet's Hindoostane Coffee House; Gandhi's experiments in Holborn to the recovery of the lost manuscript of Tagore's Gitanjali in Baker Street; Jinnah's trysts with Shakespeare to Nehru's duels with destiny; Princess Sophia's defiance of the royalty to Anand establishing the Progressive Writers' Association in Soho; Aurobindo Ghose's Victorian idylls to Subhas Chandra Bose's interwar days; the four Indian politicians who sat at Westminster to the blood pacts for Pakistan; India in the shockwaves at Whitehall to India in the radiowaves at the BBC; the intrigues of India House and India League to hundreds of East Bengali restaurateurs seasoning curries and kebabs around Brick Lane... Indians in London is a scintillating adventure across the Thames, the Embankment, the Southwarks, Bloomsburys, Kensingtons, Piccadillys, Wembleys and Brick Lanes that saw a nation-a cultural, historical and literary revolution that redefined London over half a millennium of Indian migrations-reborn as independent India.
Large dimensional random matrices (LDRM) with specific patterns arise in econometrics, computer science, mathematics, physics, and statistics. This book provides an easy initiation to LDRM. Through a unified approach, we investigate the existence and properties of the limiting spectral distribution (LSD) of different patterned random matrices as the dimension grows. The main ingredients are the method of moments and normal approximation with rudimentary combinatorics for support. Some elementary results from matrix theory are also used. By stretching the moment arguments, we also have a brush with the intriguing but difficult concepts of joint convergence of sequences of random matrices and its ramifications. This book covers the Wigner matrix, the sample covariance matrix, the Toeplitz matrix, the Hankel matrix, the sample autocovariance matrix and the k-Circulant matrices. Quick and simple proofs of their LSDs are provided and it is shown how the semi-circle law and the March enko-Pastur law arise as the LSDs of the first two matrices. Extending the basic approach, we also establish interesting limits for some triangular matrices, band matrices, balanced matrices, and the sample autocovariance matrix. We also study the joint convergence of several patterned matrices, and show that independent Wigner matrices converge jointly and are asymptotically free of other patterned matrices. Arup Bose is a Professor at the Indian Statistical Institute, Kolkata, India. He is a distinguished researcher in Mathematical Statistics and has been working in high-dimensional random matrices for the last fifteen years. He has been the Editor of Sankyhā for several years and has been on the editorial board of several other journals. He is a Fellow of the Institute of Mathematical Statistics, USA and all three national science academies of India, as well as the recipient of the S.S. Bhatnagar Award and the C.R. Rao Award. His forthcoming books are the monograph, Large Covariance and Autocovariance Matrices (with Monika Bhattacharjee), to be published by Chapman & Hall/CRC Press, and a graduate text, U-statistics, M-estimates and Resampling (with Snigdhansu Chatterjee), to be published by Hindustan Book Agency.
This book explores the dilemma of Bond's 'two selves' and his existential search for an identity. This exploration, analysed across six chapters, is informed by a variety of postcolonial, historical, informational and critical texts on Bond and Anglo-Indians. Arup Pal focuses on four key literary works of Bond-The Room on the Roof, A Flight of Pigeons, Scenes from a Writer's Life and A Handful of Nuts-from the perspective of the author's developing sense of personal, national and cultural identity. He traces the journey that the author and his protagonists embark on in order to seek and ultimately define their sense of being.
Following an experimental railway track at Chintadripet, in 1835, the battle for India's first railroad was fought bitterly between John Chapman's Great Indian Peninsular Railway and Rowland MacDonald Stephenson's East India Railway Company, which was merged with Dwarkanauth Tagore's Great Western of Bengal Railway. Even at the height of the Mutiny of 1857, Bahadur Shah Zafar promised Indian owned railway tracks for native merchants if Badshahi rule was restored in Delhi. From Jules Verne to Rudyard Kipling to Mark Twain to Rabindranath Tagore to Nirad C. Chaudhuri to R.K. Narayan and Ruskin Bond-the aura of Indian trains and railway stations have enchanted many writers and poets. With iconic cinematography from The Apu Trilogy, Aradhana, Sonar Kella, Sholay, Gandhi, Dil Se, Parineeta, Barfi, Gangs of Wasseypur, and numerous others, Indian cinema has paved the way for mythical railroads in the national psyche. The Great Indian Railways takes us on a historic adventure through many junctions of India's hidden railway legends, for the first time in a book replete with anecdotes from imperial politics, European and Indian accounts, the battlefronts of the Indian nationalist movement, Indian cinema, songs, advertisements, and much more, in an ever-expanding cultural biography of the Great Indian Railways. Dubbed as 'one of a kind' this awe-inspiring saga is 'compulsive reading.' 'In this fascinating cultural history, Arup K Chatterjee charts the extraordinary journey of the Indian Railways, from the laying of the very first sleeper to the first post-Independence bogey. It evokes our collective accumulation of those innumerable memories of platform chai and rail-gaadi stories, bringing alive through myriad voices and tales the biography of one of India's defining public institutions.' – Shashi Tharoor, Author, M.P., Lok Sabha 'The Great Indian Railways is a fascinating and well-researched cultural biography of the Indian Railways-those intricate arteries of the soul of India, as have been experienced, written, filmed, and dreamed. We cannot all travel by rail to know India, as Gandhiji did, but we can and should read this book!' – Tabish Khair, Author, Professor
The primary focus of this book is on basic device concepts, memory cell design, and process technology integration. The first part provides in-depth coverage of conventional nonvolatile memory devices, stack structures from device physics, historical perspectives, and identifies limitations of conventional devices. The second part reviews advances made in reducing and/or eliminating existing limitations of NVM device parameters from the standpoint of device scalability, application extendibility, and reliability. The final part proposes multiple options of silicon based unified (nonvolatile) memory cell concepts and stack designs (SUMs). The book provides Industrial R&D personnel with the knowledge to drive the future memory technology with the established silicon FET-based establishments of their own. It explores application potentials of memory in areas such as robotics, avionics, health-industry, space vehicles, space sciences, bio-imaging, genetics etc.
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