Distributed Sensor Networks

Interoperability in IoT for Smart Systems discusses the different facets of interoperability issues among the IoT devices and their solutions, the scalability issues in an IoT network, and provides solutions for plug-n-play of new devices with the existing IoT system. It also addresses the possible usage of interoperable and plug-n-play IoT networks in different systems to make them smarter. Aimed at researchers and graduate students in computer science, computer engineering, computer networks, electronics engineering, this bookExclusively covers interoperability of IoT systems in parallel with their use towards the development of smart systems Discusses the requirements of interoperability in smart IoT systems and their solutions Reviews IoT applications in different smart and intelligent systems Explores dealing with interoperability of heterogeneous participating devices Provides different case studies and open problems related to interoperability in IoT systems

The future will be increasingly distributed. As the publicity surrounding Bitcoin and blockchain has shown, distributed technology and business models are gaining popularity. Yet the disruptive potential of this technology is often obscured by hype and misconception. This detailed guide distills the complex, fast moving ideas behind blockchain into an easily digestible reference manual, showing what's really going on under the hood.Finance and technology pros will learn how a blockchain works as they explore the evolution and current state of the technology, including the functions of cryptocurrencies and smart contracts. This book is for anyone evaluating whether to invest time in the cryptocurrency and blockchain industry. Go beyond buzzwords and see what the technology really has to offer.Learn why Bitcoin was fundamentally important in blockchain's birthLearn how Ethereum has created a fertile ground for new innovations like Decentralized Finance (DeFi), Non-Fungible Tokens (NFTs)

Should we talk of European jazz or jazz in Europe? What kinds of networks link those who make it happen 'on the ground'? What challenges do they have to face?Jazz is a part of the cultural fabric of m

This excellent resource synthesizes the theory and practice of PLC, providing a straightforward introduction to the fundamentals of PLC, as well as an exhaustive review of the performance, evaluation, security, and heterogeneous network that combine PLC with other means of communications. It advances the groundwork on power-line communication (PLC), a tool which has the potential to boost the performance of local networks, and provides useful worked practical problems on, for example, PLC protocol optimization. Covering the PHY and MAC layers of the most popular PLC specifications, including tutorials and experimental frameworks, and featuring many examples of real-world applications and performance, it is ideal for university researchers and professional engineers designing and maintaining PLC or hybrid devices and networks.

Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.

How do personal networks emerge from social contexts? How do these evolve during the course of a lifetime? How are relationships established, maintained, connected, disrupted? How does the structure of a network evolve as people face transitions and events? Based on a classic text originally published in France and that has become the standard on the empirical study of social networks there, for the first time, a network analysis perspective is extended from contexts and social circles to relationships and life events through empirical studies. Following in the tradition of personal network studies, this contribution to the field of structural analysis in Sociology offers both a synthesis of knowledge and original results from two immense surveys carried out in France. This volume proposes an original theory grounded in relational dynamics, offering novel perspectives on individual social relations over the course of a lifetime through the context of personal networks, access to social

Business operations in large organizations today involve massive, interactive, and layered networks of teams and personnel collaborating across hierarchies and countries on complex tasks. To optimize productivity, businesses need to know: what communication patterns do high-performing teams have in common? Is it possible to predict a team's performance before it starts work on a project? How can productive team behavior be fostered? This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in the emerging field of network science of teams. Focusing on the underlying social network structure, the authors present models and algorithms characterizing, predicting, optimizing, and explaining team performance, along with key applications, open challenges, and future trends.

In her work, Nazgol Ansarinia examines the systems and networks that underpin her daily life, such as everyday objects, routines, events, and experiences, and the relationship they form to a larger so

Papers from an October 2002 symposium describe research in areas including algorithms, artificial intelligence, computer graphics, computer networks, databases, evolutionary computation, graph theory,

This state-of-the-art account unifies material developed in journal articles over the last 35 years, with two central thrusts: It describes a broad class of system models that the authors call 'stochastic processing networks' (SPNs), which include queueing networks and bandwidth sharing networks as prominent special cases; and in that context it explains and illustrates a method for stability analysis based on fluid models. The central mathematical result is a theorem that can be paraphrased as follows: If the fluid model derived from an SPN is stable, then the SPN itself is stable. Two topics discussed in detail are (a) the derivation of fluid models by means of fluid limit analysis, and (b) stability analysis for fluid models using Lyapunov functions. With regard to applications, there are chapters devoted to max-weight and back-pressure control, proportionally fair resource allocation, data center operations, and flow management in packet networks. Geared toward researchers and grad

With over 60 per cent of the world's population living in cities, the networks beneath our feet - which keep the cities above moving - are more important than ever before. Yet we never truly see how t

Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with po

At the turn of the nineteenth century, the Caribbean was rife with revolutionary fervor and political turmoil. Yet, with such upheaval came unparalleled opportunities. In this innovative and richly detailed study, Jeppe Mulich explores the interconnected nature of imperial politics and colonial law in the maritime borderlands of the Leeward Islands, where British, Danish, Dutch, French, Spanish, and Swedish colonies both competed and cooperated with one another. By exploring the transnational networks involved in trade, slavery, smuggling, privateering, and marronage, he offers a new account of the age of revolutions in the Caribbean, emphasizing the border-crossing nature of life in the region. By approaching major shifts in politics, economy, and law from the bottom-up, a new story of early nineteenth-century globalization emerges – one that emphasizes regional integration and a multiplicity of intersecting networks.

Electronic skins are critical for many applications in human-machine-environment interactions. Tactile sensitivity over large areas can be especially applied to prosthetics. Moreover, the potential for wearables, interactive surfaces, and human robotics have propelled research in this area. In this Element, we provide an account and directional atlas of the progress in materials and devices for electronic skins, in the context of sensing principles and skin-like features. Additionally, we give an overview of essential electronic circuits and systems used in large-area tactile sensor arrays. Finally, we present the challenges and provide perspectives on future developments.

This book is available as open access through the Bloomsbury Open Access programme and is available on www.bloomsburycollections.comWhile all media are part of intermedial networks, video games are of

Studios are, at once, material environments and symbolic forms, sites of artistic creation and physical labor, and nodes in networks of resource circulation. They are architectural places that generat

Studios are, at once, material environments and symbolic forms, sites of artistic creation and physical labor, and nodes in networks of resource circulation. They are architectural places that generat

Anarchists who supported the Cuban War for Independence in the 1890s launched a transnational network linking radical leftists from their revolutionary hub in Havana, Cuba to South Florida, Puerto Rico, Panama, the Panama Canal Zone, and beyond. Over three decades, anarchists migrated around the Caribbean and back and forth to the US, printed fiction and poetry promoting their projects, transferred money and information across political borders for a variety of causes, and attacked (verbally and physically) the expansion of US imperialism in the 'American Mediterranean'. In response, US security officials forged their own transnational anti-anarchist campaigns with officials across the Caribbean. In this sweeping new history, Kirwin R. Shaffer brings together research in anarchist politics, transnational networks, radical journalism and migration studies to illustrate how men and women throughout the Caribbean basin and beyond sought to shape a counter-globalization initiative to chall

After colonization, indigenous people faced an extractive property rights regime for both their land and knowledge. This book outlines that regime, and how the symbolic function of international intellectual property continues today to assist states to enclose indigenous peoples' knowledge. Drawing on more than 200 interviews, Peter Drahos examines the response of indigenous people to the colonizer's non-developmental property rights. The case studies reveal how they have adapted to the state's extractive order through a process of regulatory bricolage. In order to create a new developmental future for themselves, indigenous developmental networks have been forged - high trust networks that include partnerships with science. Intellectual Property, Indigenous People and their Knowledge argues for a developmental intellectual property order for indigenous people based on a combination of simple rules, principles and a process of regulatory convening.

Power Theory: Bridging the Gap Between Fields and Circuits proposes a new paradigm for power theory that can be used in power systems and electrical networks. This new approach links electromagnetic a

In Digital Data Collection and Information Privacy Law, Mark Burdon argues for the reformulation of information privacy law to regulate new power consequences of ubiquitous data collection. Examining developing business models, based on collections of sensor data - with a focus on the 'smart home' - Burdon demonstrates the challenges that are arising for information privacy's control-model and its application of principled protections of personal information exchange. By reformulating information privacy's primary role of individual control as an interrupter of modulated power, Burdon provides a foundation for future law reform and calls for stronger information privacy law protections. This book should be read by anyone interested in the role of privacy in a world of ubiquitous and pervasive data collection.

How did the emigration of nineteenth-century Britons to colonies of settlement shape Victorian literature? Philip Steer uncovers productive networks of writers and texts spanning Britain, Australia, and New Zealand to argue that the novel and political economy found common colonial ground over questions of British identity. Each chapter highlights the conceptual challenges to the nature of 'Britishness' posed by colonial events, from the gold rushes to invasion scares, and traces the literary aftershocks in familiar genres such as the bildungsroman and the utopia. Alongside lesser-known colonial writers such as Catherine Spence and Julius Vogel, British novelists from Dickens to Trollope are also put in a new light by this fresh approach that places Victorian studies in a colonial perspective. Bringing together literary formalism and British World history, Settler Colonialism in Victorian Literature describes how what it meant to be 'British' was re-imagined in an increasingly globaliz

Communication complexity is the mathematical study of scenarios where several parties need to communicate to achieve a common goal, a situation that naturally appears during computation. This introduction presents the most recent developments in an accessible form, providing the language to unify several disjoint research subareas. Written as a guide for a graduate course on communication complexity, it will interest a broad audience in computer science, from advanced undergraduates to researchers in areas ranging from theory to algorithm design to distributed computing. The first part presents basic theory in a clear and illustrative way, offering beginners an entry into the field. The second part describes applications including circuit complexity, proof complexity, streaming algorithms, extension complexity of polytopes, and distributed computing. Proofs throughout the text use ideas from a wide range of mathematics, including geometry, algebra, and probability. Each chapter contain

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix no

Between 1895 and 1922 the Anglo-American actor and manager, Maurice E. Bandmann (1872–1922) created a theatrical circuit that extended from Gibraltar to Tokyo and included regular tours to the West Indies and South America. With headquarters in Calcutta and Cairo and companies listed on the Indian stock exchange, his operations represent a significant shift towards the globalization of theatre. This study focuses on seven key areas: family networks; the business of theatrical touring; the politics of locality; repertoire and publics; an ethnography of itinerant acting; legal disputes and the provision of theatrical infrastructure. It draws on global and transnational history, network theory and analysis as well as in-depth archival research to provide a new approach to studying theatre in the age of empire.

It's not what you know, it's who you know. Or so the adage goes. Professor Matthew Jackson, world-leading researcher into social and economic networks, shows us why this is far truer than we'd like to

The next big area within the information and communication technology field is Artificial Intelligence (AI). The industry is moving to automate networks, cloud-based systems (e.g., Salesforce), databa

Contemporary security governance often relies on markets and networks to link public agencies to non-governmental actors. This book explores the rise, nature, and future of these new forms of security

Features rare island artefacts Covers both Indonesian and Timorese textiles and jewelry Thread and Fire is a fascinating journey through the centuries-old trade networks that developed across a group

Social networks are the new norm and traditional marketing is failing in today's digital, always-on culture. Businesses across the world are having to face up to how they remain relevant in the choppy

Lose yourself in the vast sewer networks that lie beneath the world’s great cities – past and present. Let detailed archival plans, maps and photographs guide you through these subterranean labyrinths

-A clear and accessible overview of visual illusions, spanning artwork from graphics to photography -A selection of optical illusions that will fool your brain time after time "Neural networks do not