The digital twin of a physical system is an adaptive computer analog which exists in the cloud and adapts to changes in the physical system dynamically. This book introduces the computing, mathematical, and engineering background to understand and develop the concept of the digital twin. It provides background in modeling/simulation, computing technology, sensor/actuators, and so forth, needed to develop the next generation of digital twins. Concepts on cloud computing, big data, IoT, wireless communications, high-performance computing, and blockchain are also discussed. Features: Provides background material needed to understand digital twin technology Presents computational facet of digital twin Includes physics-based and surrogate model representations Addresses the problem of uncertainty in measurements and modeling Discusses practical case studies of implementation of digital twins, addressing additive manufacturing, server farms, predictive maintenance, and smart cities This book is aimed at graduate students and researchers in Electrical, Mechanical, Computer, and Production Engineering.
What prompts common people to kill a guard and rob an office they thought had some tickets for a Test match? Why does a scholar of medieval Bengali literature remark, 'Had life been a sport, it would be cricket'? Who do journalists vindicate by promoting cricket, the imperial game par excellence, as the lifeforce of the ordinary Indian? This book pursues these threads of the people's uncanny attachment to cricket, seeking to understand the sport's role in the making of a postcolonial society. With a focus on Calcutta, it unpacks the various connotations of international cricket that have produced a postcolonial community and public culture. Cricket, it shows, gave the people a tool to understand and form themselves as a cultural community. More than the outcomes of matches, the beliefs, attitudes and actions the sport generated had an immense bearing on emerging social relationships.
A Criminal consultant is met with a weird request. His long time best friend who had lost touch with him had asked him to make a kill, he asked him to kill himself in order to help catch some mafia who couldn't be caught otherwise. However things take an ugly term when some unexpected revelations are made and the stone cold paranoid Criminal Investigator gets emotionally trapped in a frenzy of lies and deceit and his only way out is to play the dame of death......the death is yet to stare into the lies
Videogames in the Indian Subcontinent: Development, Culture(s) and Representations explores the gaming culture of one of the most culturally diverse and populous regions of the world-the Indian subcontinent. Building on the author's earlier work on videogame culture in India, this book addresses issues of how discussions of equality and diversity sit within videogame studies, particularly in connection with the subcontinent, thereby presenting pioneering research on the videogame cultures of the region. Drawing on a series of player and developer interviews and surveys conducted over the last five years, including some recent ones, this book provides a sense of how games have become a part of the culture of the region despite its huge diversity and plurality and opens up avenues for further study through vignettes and snapshots of the diverse gaming culture. It addresses the rapid rise of videogames as an entertainment medium in South Asia and, as such, also tries to better understand the recent controversies connected to gaming in the region In the process, it aims to make a larger connection between the development of videogames and player culture, in the subcontinent and globally, thus opening up channels for collaboration between the industry and academic research, local and global.
Zoonotic diseases pose a serious threat to global health and economy. Domestic and wild birds play crucial roles in transmission and spread of important zoonotic pathogens, with significant implications on human and avian health. Although zoonotic diseases have been extensively studied, information on various aspects of avian zoonotic pathogens have not been revisited or revised to any great extent. This book is a comprehensive and updated compilation of important zoonotic diseases that are transmitted by domestic and wild birds, and consists of 21 chapters that meticulously describe the (i) etiology and evolution, (ii) complex epidemiology, such as migration pathways in context of disease transmission, (iii) pathogenesis, (iv) clinical signs and necropsy findings, (v) diagnostics including latest molecular assays, and (vi) preventative and control strategies, with an emphasis on therapeutics and prophylaxis, of important zoonotic pathogens (bacterial, fungal, parasitic and viral) of avian origin in humans and birds. Each chapter is aptly supported by interactive tables and figures, and features an updated reference section. This book aims to create awareness and enlighten students of veterinary and human medicine on the role of birds in zoonoses, and would serve as a useful reference for working veterinarians, human doctors, and public health experts.
This exciting new resource covers various emerging applications of short range radars, including people counting and tracking, gesture sensing, human activity recognition, air-drawing, material classification, object classification, vital sensing by extracting features such as range-Doppler Images (RDI), range-cross range images, Doppler Spectrogram or directly feeding raw ADC data to the classifiers. The book also presents how deep learning architectures are replacing conventional radar signal processing pipelines enabling new applications and results. It describes how deep convolutional neural networks (DCNN), long-short term memory (LSTM), feedforward networks, regularization, optimization algorithms, connectionist This exciting new resource presents emerging applications of artificial intelligence and deep learning in short-range radar. The book covers applications ranging from industrial, consumer space to emerging automotive applications. The book presents several human-machine interface (HMI) applications, such as gesture recognition and sensing, human activity classification, air-writing, material classification, vital sensing, people sensing, people counting, people localization and in-cabin automotive occupancy and smart trunk opening. The underpinnings of deep learning are explored, outlining the history of neural networks and the optimization algorithms to train them. Modern deep convolutional neural network (DCNN), popular DCNN architectures for computer vision and their features are also introduced. The book presents other deep learning architectures, such as long-short term memory (LSTM), auto-encoders, variational auto-encoders (VAE), and generative adversarial networks (GAN). The application of human activity recognition as well as the application of air-writing using a network of short-range radars are outlined. This book demonstrates and highlights how deep learning is enabling several advanced industrial, consumer and in-cabin applications of short-range radars, which weren't otherwise possible. It illustrates various advanced applications, their respective challenges, and how they are been addressed using different deep learning architectures and algorithms.
This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model. Features: A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB) A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS) Formulation of the nonlinear model like analysis of ANOVA and response surface methodology Variety of solved problems on ANOVA and RSM Case studies of above mentioned intelligent techniques on the different process control systems This book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.
This book focuses on the almost entirely neglected treatment of empire and colonialism in videogames. From its inception in the nineties, Game Studies has kept away from these issues despite the early popularity of videogame franchises such as Civilization and Age of Empire. This book examines the complex ways in which some videogames construct conceptions of spatiality, political systems, ethics and society that are often deeply imbued with colonialism. Moving beyond questions pertaining to European and American gaming cultures, this book addresses issues that relate to a global audience – including, especially, the millions who play videogames in the formerly colonised countries, seeking to make a timely intervention by creating a larger awareness of global cultural issues in videogame research. Addressing a major gap in Game Studies research, this book will connect to discourses of post-colonial theory at large and thereby, provide another entry-point for this new medium of digital communication into larger Humanities discourses.
02 April 2011: While the Indian cricket team fights on the Wankhede grounds to create history, two men engage in a game of words to determine the future of their lives. Reva – a celebrated socialite journalist, and Anshuman Mehra – creative director of India’s most popular advertising agency are a happily married couple till a car accident relegates Reva to the ICU and reveals to Anshuman the biggest secret of their lives – Siddharth Kashyap. A reputed fashion photographer, Siddharth had met Reva a year-and-a-half after the Mehras got married. But what started off as a formal professional association soon morphed into a friendship that transformed into love. As Reva’s health swings between crisis and recovery, Anshuman and Siddharth retrospect their lives and associations with the woman who bound them together. It is through their reminiscence of the relationships and interaction with each other that we traverse through their meetings, their feelings, their heartbreaks, their dilemmas and their insecurities. However, what looms large is one pertinent question – can Reva love two people at the same time?
Methods and Techniques in Deep Learning Introduces multiple state-of-the-art deep learning architectures for mmWave radar in a variety of advanced applications Methods and Techniques in Deep Learning: Advancements in mmWave Radar Solutions provides a timely and authoritative overview of the use of artificial intelligence (AI)-based processing for various mmWave radar applications. Focusing on practical deep learning techniques, this comprehensive volume explains the fundamentals of deep learning, reviews cutting-edge deep metric learning techniques, describes different typologies of reinforcement learning (RL) algorithms, highlights how domain adaptation (DA) can be used for improving the performance of machine learning (ML) algorithms, and more. Throughout the book, readers are exposed to product-ready deep learning solutions while learning skills that are relevant for building any industrial-grade, sensor-based deep learning solution. A team of authors with more than 70 filed patents and 100 published papers on AI and sensor processing illustrates how deep learning is enabling a range of advanced industrial, consumer, and automotive applications of mmWave radars. In-depth chapters cover topics including multi-modal deep learning approaches, the elemental blocks required to formulate Bayesian deep learning, how domain adaptation (DA) can be used for improving the performance of machine learning algorithms, and geometric deep learning are used for processing point clouds. In addition, the book: Discusses various advanced applications and how their respective challenges have been addressed using different deep learning architectures and algorithms Describes deep learning in the context of computer vision, natural language processing, sensor processing, and mmWave radar sensors Demonstrates how deep parametric learning reduces the number of trainable parameters and improves the data flow Presents several human-machine interface (HMI) applications such as gesture recognition, human activity classification, human localization and tracking, in-cabin automotive occupancy sensing Methods and Techniques in Deep Learning: Advancements in mmWave Radar Solutions is an invaluable resource for industry professionals, researchers, and graduate students working in systems engineering, signal processing, sensors, data science, and AI.
This book proposes a framework and strategies for reliable end-to-end post-disaster services using smartphone-based delay-tolerant networks, which can operate even in the absence of conventional network connectivity. It explores various aspects of this challenge, ranging from accurate need assessment, to timely need accumulation, efficient resource allocation, and reliable data dissemination. The book offers insightful reading for all technologists and researchers working in the domain of ICT-based disaster management in developing countries, and will help them grasp the challenges involved in providing post-disaster services in an extremely difficult network scenario, while also offering possible solutions. The book will also benefit disaster management authorities, government agencies, NGOs and other stakeholders, helping them enhance their preparedness through the intelligent use of wireless technologies coupled with smart devices.
The digital twin of a physical system is an adaptive computer analog which exists in the cloud and adapts to changes in the physical system dynamically. This book introduces the computing, mathematical, and engineering background to understand and develop the concept of the digital twin. It provides background in modeling/simulation, computing technology, sensor/actuators, and so forth, needed to develop the next generation of digital twins. Concepts on cloud computing, big data, IoT, wireless communications, high-performance computing, and blockchain are also discussed. Features: Provides background material needed to understand digital twin technology Presents computational facet of digital twin Includes physics-based and surrogate model representations Addresses the problem of uncertainty in measurements and modeling Discusses practical case studies of implementation of digital twins, addressing additive manufacturing, server farms, predictive maintenance, and smart cities This book is aimed at graduate students and researchers in Electrical, Mechanical, Computer, and Production Engineering.
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