This book provides a comprehensive understanding of each aspect of offshore operations including conventional methods of operations, emerging technologies, legislations, health, safety and environment impact of offshore operations. The book starts by coverage of notable offshore fields across the globe and the statistics of present oil production, covering all types of platforms available along with their structural details. Further, it discusses production, storage and transportation, production equipment, safety systems, automation, storage facilities and transportation. Book ends with common legislation acts and comparison of different legislation acts of major oil/gas producing nations. The book is aimed at professionals and researchers in petroleum engineering, offshore technology, subsea engineering, and Explores the engineering, technology, system, environmental, operational and legislation aspects of offshore productions systems Covers most of the subsea engineering material in a concise manner Includes legislation of major oil and gas producing nations pertaining to offshore operations (oil and gas) Incorporates case studies of major offshore operations (oil and gas) accidents and lessons learnt Discusses environment impact of offshore operations
An accessible guide to the ideas and technologies underlying such applications as GPS, Google Maps, Pokémon Go, ride-sharing, driverless cars, and drone surveillance. Billions of people around the globe use various applications of spatial computing daily—by using a ride-sharing app, GPS, the e911 system, social media check-ins, even Pokémon Go. Scientists and researchers use spatial computing to track diseases, map the bottom of the oceans, chart the behavior of endangered species, and create election maps in real time. Drones and driverless cars use a variety of spatial computing technologies. Spatial computing works by understanding the physical world, knowing and communicating our relation to places in that world, and navigating through those places. It has changed our lives and infrastructures profoundly, marking a significant shift in how we make our way in the world. This volume in the MIT Essential Knowledge series explains the technologies and ideas behind spatial computing. The book offers accessible descriptions of GPS and location-based services, including the use of Wi-Fi, Bluetooth, and RFID for position determination out of satellite range; remote sensing, which uses satellite and aerial platforms to monitor such varied phenomena as global food production, the effects of climate change, and subsurface natural resources on other planets; geographic information systems (GIS), which store, analyze, and visualize spatial data; spatial databases, which store multiple forms of spatial data; and spatial statistics and spatial data science, used to analyze location-related data.
This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms. The authors discuss in the first part of this book, the semantic aspects of spatio-temporal graph data in two application domains, viz., urban transportation and social networks. Then the authors present representational models and data structures, which can effectively capture these semantics, while ensuring support for computationally scalable algorithms. In the first part of the book, the authors describe algorithmic development issues in spatio-temporal graph data. These algorithms internally use the semantically rich data structures developed in the earlier part of this book. Finally, the authors introduce some upcoming spatio-temporal graph datasets, such as engine measurement data, and discuss some open research problems in the area. This book will be useful as a secondary text for advanced-level students entering into relevant fields of computer science, such as transportation and urban planning. It may also be useful for researchers and practitioners in the field of navigational algorithms.
Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challenges such as water resource management, food security, disaster response, and transportation. However, significant computational challenges exist in analyzing SBD due to the unique spatial characteristics including spatial autocorrelation, anisotropy, heterogeneity, multiple scales and resolutions which is illustrated in this book. This book also discusses current techniques for, spatial big data science with a particular focus on classification techniques for earth observation imagery big data. Specifically, the authors introduce several recent spatial classification techniques, such as spatial decision trees and spatial ensemble learning. Several potential future research directions are also discussed. This book targets an interdisciplinary audience including computer scientists, practitioners and researchers working in the field of data mining, big data, as well as domain scientists working in earth science (e.g., hydrology, disaster), public safety and public health. Advanced level students in computer science will also find this book useful as a reference.
This book provides a collection of concepts, algorithms, and techniques that effectively harness the power of Spatial Network Big Data. Reading this book is a first step towards understanding the immense challenges and novel applications of SNBD database systems. This book explores these challenges via investigating scalable graph-based query processing strategies and I/O efficient storage and access methods. This book will be of benefit to academics, researchers, engineers with a particular interest in network database models, network query processing, and physical storage models.
Ullala Lake is situated in Ullala village of South-western part of Bangalore city. It is located between 77 28' 48" E to 77 29' 04" E longitude and 12 57' 49" N to 12 57' 40" N latitude. Ullal lake falls in the Vrishabhavathi lake valley and Byramangala lake series. It is surrounded by Muddina Palya in the North, Mangana Halli in the South, Mallathalli in the East and Ullalu in the West. The source to the lake is from North i.e. from Muddinapalya and the outlet is from South-East which is an inlet to Hosakere Lake.
At the stroke of midnight on August 15, 1947, a new nation was born. It has seventeen major languages and 22,000 distinct dialects. It has over a billion individuals of every ethnic extraction known to humanity. It has a population that is 32 percent illiterate, but also one of the world’s largest pools of trained scientists and engineers. Its ageless civilization is the birthplace of four major religions, a dozen different traditions of classical dance, and three hundred ways of cooking a potato. Shashi Tharoor’s India is a fascinating portrait of one of the world’s most interesting countries—its politics, its mentality, and its cultural riches. An eloquent argument for the importance of India to the future of America and the industrialized world, the book flows with the energy and erudition that distinguished his prize-winning novels. A New York Times Notable Book, this work of remarkable depth and startling originality combines elements of political scholarship, personal reflection, memoir, fiction, and polemic, all illuminated in vivid and compelling prose.
A household name throughout India, B. R. Ambedkar is one of the country’s most important figures, second only to Mahatma Gandhi. He played a major role in drafting the constitution for a newly independent India and led the fight against caste-based discrimination. Ambedkar was born into a Dalit caste (the so-called ‘untouchables’), but his academic brilliance saw him study at Columbia University and London School of Economics. As a politician, he fought to overturn centuries of discrimination and promoted liberal constitutionalism in a traditionally illiberal society. He did more than anyone to articulate a cogent and enduring case for the principles of democracy in a country emerging from imperial rule. This book is also a reminder of how far the practice of politics has strayed from the high standards Ambedkar set – of intellectual distinction, policy positions animated by serious scholarship, the infusion of moral values and the upholding of democracy for the many, not just the privileged few.
In this award-winning novel, Tharoor has masterfully recast the two-thousand-year-old epic, The Mahabharata, with fictional but highly recognizable events and characters from twentieth-century Indian politics. Nothing is sacred in this deliciously irreverent, witty, and deeply intelligent retelling of modern Indian history and the ancient Indian epic The Mahabharata. Alternately outrageous and instructive, hilarious and moving, it is a dazzling tapestry of prose and verse that satirically, but also poignantly, chronicles the struggle for Indian freedom and independence.
Who Killed Twenty-Four-Year-Old Priscilla Hart? And Why Would Anyone Want To Murder This Idealistic American Student Who Had Come To India To Volunteer In A Women S Health Programme? Had Her Work Made A Killer Out Of An Enraged Husband? Or Was Her Death The Result Of A Xenophobic Attack? Was She Involved In An Indiscriminate Love Affair That Had Spun Out Of Control? Or Was She Simply The Innocent Victim Of A Riot That Had Exploded In That Fateful Year Of 1987 Between Hindus And Muslims? Shashi Tharoor Experiments Brilliantly With Narrative Form, Chronicling The Mystery Of Priscilla Hart S Death Through The Often Contradictory Accounts Of A Dozen Or More Characters. Intellectually Provocative And Emotionally Charged, Riot Is A Novel About The Ownership Of History, About Love, Hate, Cultural Collision, Religious Fanaticism And The Impossibility Of Knowing The Truth.
Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challenges such as water resource management, food security, disaster response, and transportation. However, significant computational challenges exist in analyzing SBD due to the unique spatial characteristics including spatial autocorrelation, anisotropy, heterogeneity, multiple scales and resolutions which is illustrated in this book. This book also discusses current techniques for, spatial big data science with a particular focus on classification techniques for earth observation imagery big data. Specifically, the authors introduce several recent spatial classification techniques, such as spatial decision trees and spatial ensemble learning. Several potential future research directions are also discussed. This book targets an interdisciplinary audience including computer scientists, practitioners and researchers working in the field of data mining, big data, as well as domain scientists working in earth science (e.g., hydrology, disaster), public safety and public health. Advanced level students in computer science will also find this book useful as a reference.
The Encyclopedia of GIS provides a comprehensive and authoritative guide, contributed by experts and peer-reviewed for accuracy, and alphabetically arranged for convenient access. The entries explain key software and processes used by geographers and computational scientists. Major overviews are provided for nearly 200 topics: Geoinformatics, Spatial Cognition, and Location-Based Services and more. Shorter entries define specific terms and concepts. The reference will be published as a print volume with abundant black and white art, and simultaneously as an XML online reference with hyperlinked citations, cross-references, four-color art, links to web-based maps, and other interactive features.
This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms. The authors discuss in the first part of this book, the semantic aspects of spatio-temporal graph data in two application domains, viz., urban transportation and social networks. Then the authors present representational models and data structures, which can effectively capture these semantics, while ensuring support for computationally scalable algorithms. In the first part of the book, the authors describe algorithmic development issues in spatio-temporal graph data. These algorithms internally use the semantically rich data structures developed in the earlier part of this book. Finally, the authors introduce some upcoming spatio-temporal graph datasets, such as engine measurement data, and discuss some open research problems in the area. This book will be useful as a secondary text for advanced-level students entering into relevant fields of computer science, such as transportation and urban planning. It may also be useful for researchers and practitioners in the field of navigational algorithms.
This book provides a collection of concepts, algorithms, and techniques that effectively harness the power of Spatial Network Big Data. Reading this book is a first step towards understanding the immense challenges and novel applications of SNBD database systems. This book explores these challenges via investigating scalable graph-based query processing strategies and I/O efficient storage and access methods. This book will be of benefit to academics, researchers, engineers with a particular interest in network database models, network query processing, and physical storage models.
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