Ghafouri-Shiraz Hooshang Optical CDMA Networks. Principles, Analysis and Applications ISBN: 9781119941323

Ghafouri-Shiraz Hooshang Optical CDMA Networks. Principles, Analysis and Applications ISBN: 9781119941323

This book focuses heavily on the principles, analysis and applications of code-division multiple-access (CDMA) techniques in optical communication systems and networks. In this book, the authors intimately discuss modern optical networks and their applications in current and emerging communication technologies, evaluating the quality, speed and number of supported services. In particular, principles and fundamentals of optical CDMA techniques from beginner to advanced levels are heavily covered. Furthermore, the authors concentrate on methods and techniques of various encoding and decoding schemes and their structures, as well as analysis of optical CDMA systems with various transceiver models including advanced multi-level incoherent and coherent modulations with the architecture of access/aggregation networks in mind. Moreover, authors examine intriguing topics of optical CDMA networking, compatibility with IP networks, and implementation of optical multi-rate multi-service CDMA networks. Key features: Expanded coverage of optical CDMA networks, starts from principles and fundamentals Comprehensive mathematical modelling and analysis from signal to system levels Addresses the applications of modern optical networking in the current and emerging communication technologies Greater focus on advanced optical multi-level incoherent and coherent modulations, spreading codes, and transceiver designs Detailed hardware specifications, system-level block diagrams, and network nodes’ functionalities This book appeals to researchers, practicing engineers, and advanced students. It is a practical resource for readers with an interest in optical communications and networks.

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Lorenzo Beatriz Advanced Wireless Networks. Cognitive, Cooperative & Opportunistic 4G Technology ISBN: 9780470745731

Lorenzo Beatriz Advanced Wireless Networks. Cognitive, Cooperative & Opportunistic 4G Technology ISBN: 9780470745731

With 40% new material the new edition of Advanced Wireless Networks provides a comprehensive representation of the key issues in 4G wireless networks. Focussing on cognitive, cooperative and opportunistic paradigms to provide further increase in network efficiency, the book explores and addresses issues in wireless internet, mobile cellular and WLAN, as well as sensor, ad hoc, bio-inspired, active and cognitive networks. It examines the problem of cross-layer optimisation and network information theory as well as adaptability and reconfigurability in wireless networks. This book is an integral description of future wireless networks and the interconnection between their elements. The information is presented in a logical order within each chapter making it ideal for all levels of reader including researchers involved in modelling and analysis of future networks as well as engineers working in the area. Each chapter starts with introductory material and gradually includes more sophisticated models and mathematical tools concluding with a comprehensive list of references. Fully updated throughout with five new chapters on Opportunistic Communications; Relaying and Mesh Networks; Topology Control; Network Optimization; and Cognitive Radio Resource Management Unifies the latest research on cognitive, cooperative and opportunistic paradigms in wireless communications Provides efficient analytical tools for network analysis Discusses security issues, an essential element of working with wireless networks Supports advanced university and training courses in the field Companion website containing extra appendix on Queuing theory

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Joe Weinman Cloudonomics. The Business Value of Cloud Computing ISBN: 9781118286968

Joe Weinman Cloudonomics. The Business Value of Cloud Computing ISBN: 9781118286968

The ultimate guide to assessing and exploiting the customer value and revenue potential of the Cloud A new business model is sweeping the world—the Cloud. And, as with any new technology, there is a great deal of fear, uncertainty, and doubt surrounding cloud computing. Cloudonomics radically upends the conventional wisdom, clearly explains the underlying principles and illustrates through understandable examples how Cloud computing can create compelling value—whether you are a customer, a provider, a strategist, or an investor. Cloudonomics covers everything you need to consider for the delivery of business solutions, opportunities, and customer satisfaction through the Cloud, so you can understand it—and put it to work for your business. Cloudonomics also delivers insight into when to avoid the cloud, and why. Quantifies how customers, users, and cloud providers can collaborate to create win-wins Reveals how to use the Laws of Cloudonomics to define strategy and guide implementation Explains the probable evolution of cloud businesses and ecosystems Demolishes the conventional wisdom on cloud usage, IT spend, community clouds, and the enterprise-provider cloud balance Whether you're ready for it or not, Cloud computing is here to stay. Cloudonomics provides deep insights into the business value of the Cloud for executives, practitioners, and strategists in virtually any industry—not just technology executives but also those in the marketing, operations, economics, venture capital, and financial fields.

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Okabe Atsuyuki Spatial Analysis Along Networks. Statistical and Computational Methods ISBN: 9781119967095

Okabe Atsuyuki Spatial Analysis Along Networks. Statistical and Computational Methods ISBN: 9781119967095

In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the contamination along rivers. In order to carry out analyses of those events, the researcher needs to be familiar with a range of specific techniques. Spatial Analysis Along Networks provides a practical guide to the necessary statistical techniques and their computational implementation. Each chapter illustrates a specific technique, from Stochastic Point Processes on a Network and Network Voronoi Diagrams, to Network K-function and Point Density Estimation Methods, and the Network Huff Model. The authors also discuss and illustrate the undertaking of the statistical tests described in a Geographical Information System (GIS) environment as well as demonstrating the user-friendly free software package SANET. Spatial Analysis Along Networks: Presents a much-needed practical guide to statistical spatial analysis of events on and alongside a network, in a logical, user-friendly order. Introduces the preliminary methods involved, before detailing the advanced, computational methods, enabling the readers a complete understanding of the advanced topics. Dedicates a separate chapter to each of the major techniques involved. Demonstrates the practicalities of undertaking the tests described in the book, using a GIS. Is supported by a supplementary website, providing readers with a link to the free software package SANET, so they can execute the statistical methods described in the book. Students and researchers studying spatial statistics, spatial analysis, geography, GIS, OR, traffic accident analysis, criminology, retail marketing, facility management and ecology will benefit from this book.

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Dehmer Matthias Analysis of Complex Networks. From Biology to Linguistics ISBN: 9783527627998

Dehmer Matthias Analysis of Complex Networks. From Biology to Linguistics ISBN: 9783527627998

Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research such as in systems biology, neuronal network modelling etc. This book follows a new approach of including graph theory from a mathematical perspective with specific applications of graph theory in biomedical and computational sciences. The book is written by renowned experts in the field and offers valuable background information for a wide audience.

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Dehmer Matthias Statistical and Machine Learning Approaches for Network Analysis ISBN: 9781118347010

Dehmer Matthias Statistical and Machine Learning Approaches for Network Analysis ISBN: 9781118347010

Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book uniquely sets itself apart from the current literature by exploring the application of machine learning techniques to various types of complex networks. Comprised of chapters written by internationally renowned researchers in the field of interdisciplinary network theory, the book presents current and classical methods to analyze networks statistically. Methods from machine learning, data mining, and information theory are strongly emphasized throughout. Real data sets are used to showcase the discussed methods and topics, which include: A survey of computational approaches to reconstruct and partition biological networks An introduction to complex networks—measures, statistical properties, and models Modeling for evolving biological networks The structure of an evolving random bipartite graph Density-based enumeration in structured data Hyponym extraction employing a weighted graph kernel Statistical and Machine Learning Approaches for Network Analysis is an excellent supplemental text for graduate-level, cross-disciplinary courses in applied discrete mathematics, bioinformatics, pattern recognition, and computer science. The book is also a valuable reference for researchers and practitioners in the fields of applied discrete mathematics, machine learning, data mining, and biostatistics.

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Fernando Diz Modern Security Analysis. Understanding Wall Street Fundamentals ISBN: 9781118602652

Fernando Diz Modern Security Analysis. Understanding Wall Street Fundamentals ISBN: 9781118602652

A legendary value investor on security analysis for a modern era This book outlines Whitman's approach to business and security analysis that departs from most conventional security analysts. This approach has more in common with corporate finance than it does with the conventional approach. The key factors in appraising a company and its securities: 1) Credit worthiness, 2) Flows—both cash and earnings, 3) Long-term outlook, 4) Salable assets which can be disposed of without compromising the going concern, dynamics, 5) Resource conversions such as changes in control, mergers and acquisitions, going private, and major changes in assets or in liabilities, and 6) Access to capital. Offers the security analysis value approach Martin Whitman has used successfully since 1986 Details Whitman's unconventional approach to security analysis and offers information on the six key factors for appraising a company Contains the three most overemphasized factors used in conventional securities investing Written by Martin J. Whitman and Fernando Diz, Modern Security Analysis meets the challenge of today's marketplace by taking into account changes to regulation, market structures, instruments, and the speed and volume of trading.

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Jack Alexander Performance Dashboards and Analysis for Value Creation ISBN: 9780470088838

Jack Alexander Performance Dashboards and Analysis for Value Creation ISBN: 9780470088838

No matter what industry your company competes in, you need to have a firm understanding of how to create a direct link between shareholder value and critical business processes in order to improve performance and achieve long-term value. Performance Dashboards and Analysis for Value Creation contains the information and expertise you need to do just this—and much more.

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Daniel Birke Social Networks and their Economics. Influencing Consumer Choice ISBN: 9781118699669

Daniel Birke Social Networks and their Economics. Influencing Consumer Choice ISBN: 9781118699669

Reveals how consumer choice can be better understood and influenced using social networks analysis (SNA) Intuitively, we all appreciate that we can be influenced by our friends and peers in what we do, how we behave, and what products we consume. Until recently, it has been difficult to measure this interdependence, mainly because data on social networks was difficult to collect and not readily available. More and more companies such as mobile phone carriers or social networking sites such as Facebook are collecting such data electronically. Daniel Birke illustrates in compelling real-world case studies how companies use social networks for marketing purposes and which statistical analysis and unique datasets can be used. Social Networks and their Economics: Explores network effects and the analysis of social networks, whilst providing an overview of the state-of-the art research. Looks at consumption interdependences between friends and peers: Who is influencing who through which channels and to what degree? Presents statistical methods and research techniques that can be used in the analysis of social networks. Examines SNA and its practical application for marketing purposes. Features a supporting website www.wiley.com/go/social_networks featuring SNA visualizations and business case studies. Aimed at post-graduate students involved in social network analysis, industrial economics, innovation and consumer marketing, this book offers a unique perspective from both an academic and practitioner point of view on how social networks can help understand and influence consumer behaviour. This book will prove to be a useful resource for marketing practitioners from companies where social network data is available and for consulting companies who advise businesses on marketing and social media related issues.

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