This book explains the principles of intelligent telecommunications networks and illustrates them with many practical examples of applications. Although international standards are beginning to emerge, they are far from simple and this text offers insight into the underlying principles.

If you want an up-to-date, in-depth understanding of next generation intelligent networks (IN), this book is essential reading. It provides you with a comprehensive survey of current and emerging intelligent telecommunications networks, including underlying software, implementation, deployment and standards. It assesses the influence of mobile networks and IP technology on the directions that IN is taking now, and looks at the way middleware is reducing the dependence of service logic on the underlying network protocols. Moreover, it discusses the role of IN in tomorrowOCOs network."

Awarded a 2014 Science Fiction and Technoculture Studies Prize Honourable Mention. This book explores the creation and use of artificially made humanoid servants and servant networks by fictional and non-fictional scientists of the early modern period. Beginning with an investigation of the roots of artificial servants, humanoids, and automata from earlier times, LaGrandeur traces how these literary representations coincide with a surging interest in automata and experimentation, and how they blend with the magical science that preceded the empirical era. In the instances that this book considers, the idea of the artificial factotum is connected with an emotional paradox: the joy of self-enhancement is counterpoised with the anxiety of self-displacement that comes with distribution of agency.In this way, the older accounts of creating artificial slaves are accounts of modernity in the making—a modernity characterized by the project of extending the self and its powers, in which the vision of the extended self is fundamentally inseparable from the vision of an attenuated self. This book discusses the idea that fictional, artificial servants embody at once the ambitions of the scientific wizards who make them and society’s perception of the dangers of those ambitions, and represent the cultural fears triggered by independent, experimental thinkers—the type of thinkers from whom our modern cyberneticists descend.

Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors.

The book presents the latest developments in intelligent communication networks based on applicability from various domains of artificial intelligence and machine learning including channel modeling, model-based structure, channel prediction, and signal detection. It further explains important topics such as vehicular mobility modeling, human-centric network applications, security and privacy in social networks, and trust-based intelligent transportation systems. This book: Presents a model-based approach to constructing an effective network by using state-of-the-art artificial intelligent techniques. Discusses the theoretical and practical applications of channel prediction and signal detection. Introduces the fundamental concepts and application of vehicular networks in conjunction with artificial intelligence. Explores wireless communication network techniques enabled by human-centric applications, designed, and developed with artificial intelligence characteristics. Highlights the challenges in designing and developing an effective and intelligent communication network that can be applied in different domains of human activities for finding sustainable solutions. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer engineering, and information technology.

Intelligent Networks: Telecommunications Solutions for the 1990s addresses the telecommunications perspective of the 1990s and the problems involved in the transition from where we are now to where we should be within the next decade. It will appeal to managers as well as specialists interested in how communications and information technologies will evolve during the coming five to seven years. Valuable information on how they can use the new products becoming available to their company's advantage is also provided. This book is divided into two parts: Part 1 focuses on the strategic aspects of Intelligent Networks, while Part 2 looks into the dynamics and mechanics of computer networks and focuses on transition. Topics discussed in Part 1 include a look into advanced projects currently under development in the U.S. and Japan; the next big steps in deregulation from the viewpoint of the Federal Communications Commission; Artificial Intelligence (AI) implementation in network operations; the establishment of global private networks with AI as the infrastructure; and a discussion regarding the merits of open architectures, ISDN, teleports and bypass, and photonics. Topics discussed in Part 2 include system integration; a case study of Union Bank of Switzerland and how an Intelligent Network documentation database can be used to increase the quality of network design, improve upon the reliability of its implementation, automate diagnostics and facilitate maintenance, provide quality histories for different vendors, and swamp the costs associated with networking. Part 2 also includes a discussion regarding the prerequisites for system reliability; management's role in cost-effectiveness; telecommunications tariffs and the architectural impact on costing; and "how to" tips for negotiating with vendors.