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| networks an introduction 2nd edition: Introduction to Network Security Jie Wang, Zachary A. Kissel, 2015-07-10 Introductory textbook in the important area of network security for undergraduate and graduate students Comprehensively covers fundamental concepts with newer topics such as electronic cash, bit-coin, P2P, SHA-3, E-voting, and Zigbee security Fully updated to reflect new developments in network security Introduces a chapter on Cloud security, a very popular and essential topic Uses everyday examples that most computer users experience to illustrate important principles and mechanisms Features a companion website with Powerpoint slides for lectures and solution manuals to selected exercise problems, available at http://www.cs.uml.edu/~wang/NetSec |
| networks an introduction 2nd edition: Networks Mark Newman, 2010-03-25 The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks. The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas. Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks. |
| networks an introduction 2nd edition: Introduction to Telecommunications Network Engineering Tarmo Anttalainen, 2003 Whether you are an executive or sales manager in a networking company, a data communications engineer, or a telecommunications professional, you must have a thorough working knowledge of the ever growing and interrelated array of telecom and data communications technologies. From protocols and operation of the Internet (IP, TCP, HTTP, ...) and its access systems such as ADSL, and GSM... to the basics of transmission and switching, this newly revised resource delivers an up-to-date introduction to a broad range of networking technologies, clearly explaining the networking essentials you need to know to be a successful networking professional. Moreover, the book explores the future developments in optical, wireless and digital broadcast communications. |
| networks an introduction 2nd edition: Introduction to Modern Dynamics D. D. Nolte, 2019 Presents a unifying approach to the physics of chaos, nonlinear systems, dynamic networks, evolutionary dynamics, econophysics, and the theory of relativity. Each chapter has many worked examples and simple computer simulations that allow the student to explore the rich phenomena of nonlinear physics. |
| networks an introduction 2nd edition: Introduction to Neural Networks with Java Jeff Heaton, 2005 In addition to showing the programmer how to construct Neural Networks, the book discusses the Java Object Oriented Neural Engine (JOONE), a free open source Java neural engine. (Computers) |
| networks an introduction 2nd edition: A Practical Introduction to Enterprise Network and Security Management Bongsik Shin, 2021-07-20 A Practical Introduction to Enterprise Network and Security Management, Second Edition, provides a balanced understanding of introductory and advanced subjects in both computer networking and cybersecurity. Although much of the focus is on technical concepts, managerial issues related to enterprise network and security planning and design are explained from a practitioner’s perspective. Because of the critical importance of cybersecurity in today’s enterprise networks, security-related issues are explained throughout the book, and four chapters are dedicated to fundamental knowledge. Challenging concepts are explained so readers can follow through with careful reading. This book is written for those who are self-studying or studying information systems or computer science in a classroom setting. If used for a course, it has enough material for a semester or a quarter. FEATURES Provides both theoretical and practical hands-on knowledge and learning experiences for computer networking and cybersecurity Offers a solid knowledge base for those preparing for certificate tests, such as CompTIA and CISSP Takes advantage of actual cases, examples, industry products, and services so students can relate concepts and theories to practice Explains subjects in a systematic and practical manner to facilitate understanding Includes practical exercise questions that can be individual or group assignments within or without a classroom Contains several information-rich screenshots, figures, and tables carefully constructed to solidify concepts and enhance visual learning The text is designed for students studying information systems or computer science for the first time. As a textbook, this book includes hands-on assignments based on the Packet Tracer program, an excellent network design and simulation tool from Cisco. Instructor materials also are provided, including PowerPoint slides, solutions for exercise questions, and additional chapter questions from which to build tests. |
| networks an introduction 2nd edition: Introduction to Network Simulator NS2 Teerawat Issariyakul, Ekram Hossain, 2011-12-02 Introduction to Network Simulator NS2 is a primer providing materials for NS2 beginners, whether students, professors, or researchers for understanding the architecture of Network Simulator 2 (NS2) and for incorporating simulation modules into NS2. The authors discuss the simulation architecture and the key components of NS2 including simulation-related objects, network objects, packet-related objects, and helper objects. The NS2 modules included within are nodes, links, SimpleLink objects, packets, agents, and applications. Further, the book covers three helper modules: timers, random number generators, and error models. Also included are chapters on summary of debugging, variable and packet tracing, result compilation, and examples for extending NS2. Two appendices provide the details of scripting language Tcl, OTcl and AWK, as well object oriented programming used extensively in NS2. |
| networks an introduction 2nd edition: Dynamical Systems on Networks Mason Porter, James Gleeson, 2016-03-31 This volume is a tutorial for the study of dynamical systems on networks. It discusses both methodology and models, including spreading models for social and biological contagions. The authors focus especially on “simple” situations that are analytically tractable, because they are insightful and provide useful springboards for the study of more complicated scenarios. This tutorial, which also includes key pointers to the literature, should be helpful for junior and senior undergraduate students, graduate students, and researchers from mathematics, physics, and engineering who seek to study dynamical systems on networks but who may not have prior experience with graph theory or networks. Mason A. Porter is Professor of Nonlinear and Complex Systems at the Oxford Centre for Industrial and Applied Mathematics, Mathematical Institute, University of Oxford, UK. He is also a member of the CABDyN Complexity Centre and a Tutorial Fellow of Somerville College. James P. Gleeson is Professor of Industrial and Applied Mathematics, and co-Director of MACSI, at the University of Limerick, Ireland. |
| networks an introduction 2nd edition: Introduction to Networking Basics Patrick Ciccarelli, Christina Faulkner, Jerry FitzGerald, Alan Dennis, David Groth, Toby Skandier, 2012-02-21 Finally there's a resource for the networking novice! Networking Basics provides an accessible introduction to network concepts from the underlying standards, through local and wide-area network configurations, up to configurations found in massive enterprise networks. Readers will learn how to design and construct both wired and wireless networks, gaining insight into both hardware and software requirements. They'll also find out how to match network capabilities to organizational needs |
| networks an introduction 2nd edition: Social Capital Kenneth William Koput, 2010-01-01 This will be a tremendous addition to the social capital literature and especially teaching some of the concepts of social capital at the graduate level. Such a text is badly needed and quite remarkable that no one has published it before. Viva Ona Bartkus, University of Notre Dame, US Social network analysis was, until recently, a relatively unknown branch of sociology and anthropology. The development of menu-driven computer software packages has opened up access for a wide range of audiences, including business and human resource managers. Yet, the tools themselves are of little value without an understanding of the concepts that can relate the computed measures to relevant applications. Social capital provides a framework for relating the abstract world of graph theory, which underlies network analysis, to the concrete world of human behavior. This book teaches how to understand and manage social capital to facilitate individual and organizational learning and goal attainment. Coverage includes both orchestrating relationships of others and navigating one s own social interactions. Written at an introductory level and accessible to those without background in network analysis or graph theory, this text combines both comprehensive analysis and concrete concepts to emphasize how critical a role social capital s applications play on the foundations of business as we know it today. A reference book for practice and academia, this book will appeal to graduate and undergraduate students of business, business executives and all those concerned with cultivating and refining an understanding of social capital. |
| networks an introduction 2nd edition: Data Networks Dimitri P. Bertsekas, Robert G. Gallager, 1992-01-01 This volume is designed to develop an understanding of data networks and evolving integrated networks, and to explore evolving integrated networks and the various analysis and design tools. It begins with an overview of the principles behind data networks, then develops an understanding of the modelling issues and mathematical analysis needed to compare the effectiveness of different networks. |
| networks an introduction 2nd edition: From Molecules to Networks Ruth Heidelberger, M. Neal Waxham, John H. Byrne, James L. Roberts, 2009-01-27 An understanding of the nervous system at virtually any level of analysis requires an understanding of its basic building block, the neuron. From Molecules to Networks provides the solid foundation of the morphologic, biochemical, and biophysical properties of nerve cells. All chapters have been thoroughly revised for this second edition to reflect the significant advances of the past 5 years. The new edition expands on the network aspects of cellular neurobiology by adding a new chapter, Information Processing in Neural Networks, and on the relation of cell biological processes to various neurological diseases. The new concluding chapter illustrates how the great strides in understanding the biochemical and biophysical properties of nerve cells have led to fundamental insights into important aspects of neurodegenerative disease. - Written and edited by leading experts in the field, the second edition completely and comprehensively updates all chapters of this unique textbook - Discusses emerging new understanding of non-classical molecules that affect neuronal signaling - Full colour, professional graphics throughout - Includes two new chapters: Information Processing in Neural Networks - describes the principles of operation of neural networks and the key circuit motifs that are common to many networks in the nervous system. Molecular and Cellular Mechanisms of Neurodegenerative Disease - introduces the progress made in the last 20 years in elucidating the cellular and molecular mechanisms underlying brain disorders, including Amyotrophic Lateral Sclerosis (ALS), Parkinson disease, and Alzheimer's disease |
| networks an introduction 2nd edition: What is Social Network Analysis? John Scott, 2012-08-21 Part of the What is..? series, this book is an introductory guide providing explanations of the nature of social network methods. |
| networks an introduction 2nd edition: A Practical Introduction to Computer Networking and Cybersecurity 2nd Edition Ph. D. Bongsik Shin, 2015-08-19 |
| networks an introduction 2nd edition: Statistical Analysis of Network Data with R Eric D. Kolaczyk, Gábor Csárdi, 2014-05-22 Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book Statistical Analysis of Network Data (Springer, 2009). |
| networks an introduction 2nd edition: Graphs and Networks S. R. Kingan, 2022-04-28 Graphs and Networks A unique blend of graph theory and network science for mathematicians and data science professionals alike. Featuring topics such as minors, connectomes, trees, distance, spectral graph theory, similarity, centrality, small-world networks, scale-free networks, graph algorithms, Eulerian circuits, Hamiltonian cycles, coloring, higher connectivity, planar graphs, flows, matchings, and coverings, Graphs and Networks contains modern applications for graph theorists and a host of useful theorems for network scientists. The book begins with applications to biology and the social and political sciences and gradually takes a more theoretical direction toward graph structure theory and combinatorial optimization. A background in linear algebra, probability, and statistics provides the proper frame of reference. Graphs and Networks also features: Applications to neuroscience, climate science, and the social and political sciences A research outlook integrated directly into the narrative with ideas for students interested in pursuing research projects at all levels A large selection of primary and secondary sources for further reading Historical notes that hint at the passion and excitement behind the discoveries Practice problems that reinforce the concepts and encourage further investigation and independent work |
| networks an introduction 2nd edition: Introduction to Operating Systems and Networks Ruth A. Watson, 2004 Introducing basic networking concepts as well as providing an introduction to Windows 2000/XP Professional, this book provides a solid foundation for all beginning users. Readers will gain a fundamental knowledge of operating systems as well as understand the client/server relationship in a local area network environment--crucial to anyone working in Information Technologies.Operating Systems Conceptscovers the use of Windows 2000/XP Professional, as well as demystifies many aspects of using a personal computer. The second half of the book describes local area networks and the client/server relationship. For anyone wishing to enter the field of Information Technology, including Internet/multimedia, programming, and networking. |
| networks an introduction 2nd edition: An Introduction to MultiAgent Systems Michael Wooldridge, 2009-06-22 The study of multi-agent systems (MAS) focuses on systems in which many intelligent agents interact with each other. These agents are considered to be autonomous entities such as software programs or robots. Their interactions can either be cooperative (for example as in an ant colony) or selfish (as in a free market economy). This book assumes only basic knowledge of algorithms and discrete maths, both of which are taught as standard in the first or second year of computer science degree programmes. A basic knowledge of artificial intelligence would useful to help understand some of the issues, but is not essential. The book’s main aims are: To introduce the student to the concept of agents and multi-agent systems, and the main applications for which they are appropriate To introduce the main issues surrounding the design of intelligent agents To introduce the main issues surrounding the design of a multi-agent society To introduce a number of typical applications for agent technology After reading the book the student should understand: The notion of an agent, how agents are distinct from other software paradigms (e.g. objects) and the characteristics of applications that lend themselves to agent-oriented software The key issues associated with constructing agents capable of intelligent autonomous action and the main approaches taken to developing such agents The key issues in designing societies of agents that can effectively cooperate in order to solve problems, including an understanding of the key types of multi-agent interactions possible in such systems The main application areas of agent-based systems |
| networks an introduction 2nd edition: Deep Learning Ian Goodfellow, Yoshua Bengio, Aaron Courville, 2016-11-18 An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors. |
| networks an introduction 2nd edition: 802.11 Wireless Networks: The Definitive Guide Matthew S. Gast, 2005-04-25 As we all know by now, wireless networks offer many advantages over fixed (or wired) networks. Foremost on that list is mobility, since going wireless frees you from the tether of an Ethernet cable at a desk. But that's just the tip of the cable-free iceberg. Wireless networks are also more flexible, faster and easier for you to use, and more affordable to deploy and maintain.The de facto standard for wireless networking is the 802.11 protocol, which includes Wi-Fi (the wireless standard known as 802.11b) and its faster cousin, 802.11g. With easy-to-install 802.11 network hardware available everywhere you turn, the choice seems simple, and many people dive into wireless computing with less thought and planning than they'd give to a wired network. But it's wise to be familiar with both the capabilities and risks associated with the 802.11 protocols. And 802.11 Wireless Networks: The Definitive Guide, 2nd Edition is the perfect place to start.This updated edition covers everything you'll ever need to know about wireless technology. Designed with the system administrator or serious home user in mind, it's a no-nonsense guide for setting up 802.11 on Windows and Linux. Among the wide range of topics covered are discussions on: deployment considerations network monitoring and performance tuning wireless security issues how to use and select access points network monitoring essentials wireless card configuration security issues unique to wireless networks With wireless technology, the advantages to its users are indeed plentiful. Companies no longer have to deal with the hassle and expense of wiring buildings, and households with several computers can avoid fights over who's online. And now, with 802.11 Wireless Networks: The Definitive Guide, 2nd Edition, you can integrate wireless technology into your current infrastructure with the utmost confidence. |
| networks an introduction 2nd edition: Introduction to Modern Cryptography Jonathan Katz, Yehuda Lindell, 2020-12-21 Now the most used texbook for introductory cryptography courses in both mathematics and computer science, the Third Edition builds upon previous editions by offering several new sections, topics, and exercises. The authors present the core principles of modern cryptography, with emphasis on formal definitions, rigorous proofs of security. |
| networks an introduction 2nd edition: Neurons and Networks John E. Dowling, 2001 Completely revised and enlarged with six new chapters, the second edition of Neurons and Networks is an introduction not just to neurobiology, but to all of behavioral neuroscience. It is an ideal text for first- or second-year college students with minimal college science exposure. |
| networks an introduction 2nd edition: Introduction to Queueing Networks Erol Gelenbe, Guy Pujolle, 1998-07-07 Introduction to Queueing Networks Second Edition Erol Gelenbe, Duke University, North Carolina, USA and Guy Pujolle, University of Versailles, France With new concepts emerging in recent literature, this is a timely update to a highly successful and well established first edition. Queueing networks are particularly important as digital communications continue to grow; this text provides a through and comprehensive introduction to the concept of applying mathematical queueing network theory to data communications. New additions: * G-nets, i.e. generalized (or Gelenbe) queueing networks which allow the analysis of on-line network control functions such as traffic re-routing, * discrete time queueing networks with application to ATM networks As leading authorities in this area, the authors' focus on the practical approach where aspects of queueing theory are applied directly to communications systems and networks. Included is a series of exercises and examples at the end of each chapter as well as a fully annotated bibliography. This book is of particular interest to communications and computer engineers and is essential reading for network. managers and administrators. It will also benefit students and researchers in the area of networks, as well as Web server administrators and personal computer users. Visit Our Web Page! http://www.wiley.com/ |
| networks an introduction 2nd edition: An Introduction to ATM Networks Harry G. Perros, 2001-11-28 Asynchronous Transfer Mode (ATM) has revolutionized telecommunications, and has become an integral part of the networking infrastructure. This introductory well-structured text on ATM networks describes their development, architecture, congestion control, deployment, and signalling in an intuitive, accessible way. It covers extensive background information and includes exercises that support the explanations throughout the book. The networking expert Harry G. Perros explains ATM networks, including such hot topics as: * ATM adaptation layer 2 * Quality of Service * Congestion control * Tag switching and MPLS (Multi-Protocol Label Switching) * ADSL-based access networks * Signalling * PNNI (Private Network Node Interface) An Introduction to ATM Networks is a textbook for graduate students and undergraduates in electrical engineering and computer science as well as a reference work for networking engineers. An Online solutions Manual is now available. |
| networks an introduction 2nd edition: A First Course in Network Science Filippo Menczer, Santo Fortunato, Clayton A. Davis, 2020-01-30 Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science. |
| networks an introduction 2nd edition: Graph Representation Learning William L. Hamilton, 2022-06-01 Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning. |
| networks an introduction 2nd edition: Bayesian Networks Marco Scutari, Jean-Baptiste Denis, 2021-07-28 Bayesian Networks: With Examples in R, Second Edition introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples illustrate each step of the modelling process and discuss side by side the underlying theory and its application using R code. The examples start from the simplest notions and gradually increase in complexity. In particular, this new edition contains significant new material on topics from modern machine-learning practice: dynamic networks, networks with heterogeneous variables, and model validation. The first three chapters explain the whole process of Bayesian network modelling, from structure learning to parameter learning to inference. These chapters cover discrete, Gaussian, and conditional Gaussian Bayesian networks. The following two chapters delve into dynamic networks (to model temporal data) and into networks including arbitrary random variables (using Stan). The book then gives a concise but rigorous treatment of the fundamentals of Bayesian networks and offers an introduction to causal Bayesian networks. It also presents an overview of R packages and other software implementing Bayesian networks. The final chapter evaluates two real-world examples: a landmark causal protein-signalling network published in Science and a probabilistic graphical model for predicting the composition of different body parts. Covering theoretical and practical aspects of Bayesian networks, this book provides you with an introductory overview of the field. It gives you a clear, practical understanding of the key points behind this modelling approach and, at the same time, it makes you familiar with the most relevant packages used to implement real-world analyses in R. The examples covered in the book span several application fields, data-driven models and expert systems, probabilistic and causal perspectives, thus giving you a starting point to work in a variety of scenarios. Online supplementary materials include the data sets and the code used in the book, which will all be made available from https://www.bnlearn.com/book-crc-2ed/ |
| networks an introduction 2nd edition: Security for Computer Networks D. W. Davies, W. L. Price, 1989-11-24 How to use cryptography to protect data in teleprocessing systems--not only keeping data secret but also authenticating it, preventing alteration, and proving its origin. Approach is pragmatic--principles are illustrated with examples. Describes ciphers, the Data Encryption Standard, ways to use the ciphers, cipher key management schemes, public key ciphers, and how to apply data security measures to electronic funds transfer and teleprocessing. |
| networks an introduction 2nd edition: Introduction to Neural Networks for C# (2nd Edition) Jeff Heaton, 2008 This resource introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Training techniques, such as backpropagation, genetic algorithms, and simulated annealing are also introduced. |
| networks an introduction 2nd edition: Satellite Networking Zhili Sun, 2014-03-06 This book provides up to date coverage of the basics of ATM and internet protocols, and characteristics of satellite networks and internetworking between satellite and terrestrial networks Satellite Networking: Principles and Protocols, Second Edition provides up to date information of the original topics in satellite networking and protocols focusing on Internet Protocols (IP) over satellites, broadband over satellites, next generation IP (IPv6) over satellites, new generation of DVB-S/S2 and DVB-RCS next generations and new services and applications. It also includes some analytical techniques for evaluation of end to end IP performance and QoS over satellite, reflecting the recent convergence of telecommunication, Internet, broadcasting and mobile networks. Topics new to this edition: Internetworking with MANET, DVB-S/S2 and DVB-RCS/RCS2 (including TCP/IP over DVB-S/RCS), recent developments in broadband satellite systems, convergence of services and network technologies (including Internet, telecom, mobile, TV, etc.), radio resource management, PEP, I-PEP, SCPS, traffic modelling and engineering with analysis and examples, and future developments of satellite networking. Provides up to date coverage of the basics of ATM and internet protocols, and characteristics of satellite networks and internetworking between satellite and terrestrial networks (e.g. mobile ad hoc networks), including coverage of new services and applications (e.g. Internet, telecom, mobile and TV) Discusses the real-time protocols including RTP, RTCP and SIP for real-time applications such as VoIP and MMC, and explains TCP/IP over satellite and evolution of IPv6 over satellite and beyond |
| networks an introduction 2nd edition: An Introduction to Quantum Communication Networks Mohsen Razavi, 2018-05-25 With the fast pace of developments in quantum technologies, it is more than ever necessary to make the new generation of students in science and engineering familiar with the key ideas behind such disruptive systems. This book intends to fill such a gap between experts and non-experts in the field by providing the reader with the basic tools needed to understand the latest developments in quantum communications and its future directions. This is not only to expand the audience knowledge but also to attract new talents to this flourishing field. To that end, the book as a whole does not delve into much detail and most often suffices to provide some insight into the problem in hand. The primary users of the book will then be students in science and engineering in their final year of undergraduate studies or early years of their post-graduate programmes. |
| networks an introduction 2nd edition: Neural Networks and Statistical Learning Ke-Lin Du, M. N. S. Swamy, 2019-09-12 This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing. Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include: • multilayer perceptron; • the Hopfield network; • associative memory models;• clustering models and algorithms; • t he radial basis function network; • recurrent neural networks; • nonnegative matrix factorization; • independent component analysis; •probabilistic and Bayesian networks; and • fuzzy sets and logic. Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning. |
| networks an introduction 2nd edition: Introduction to 3G Mobile Communications Juha Korhonen, 2003 This revised edition provides professionals with an up-to-date introduction to third generation (3G) mobile communication system principles, concepts, and applications, without the use of advanced mathematics. This newly revised edition of an Artech House bestseller provides professionals with an up-to-date introduction to third generation (3G) mobile communication system principles, concepts, and applications, without the use of advanced mathematics. The second edition ncludes an even more thorough treatment of potential 3G applications and descriptions of new, emerging technologies. |
| networks an introduction 2nd edition: Neural Network Design Martin T. Hagan, Howard Demuth, Mark Beale, 2003 |
| networks an introduction 2nd edition: Blogging Jill Walker Rettberg, 2008-08-04 Blogging has profoundly influenced not only the nature of the internet today, but also the nature of modern communication, despite being a genre invented less than a decade ago. This book-length study of a now everyday phenomenon provides a close look at blogging while placing it in a historical, theoretical and contemporary context. Scholars, students and bloggers will find a lively survey of blogging that contextualises blogs in terms of critical theory and the history of digital media. Authored by a scholar-blogger, the book is packed with examples that show how blogging and related genres are changing media and communication. It gives definitions and explains how blogs work, shows how blogs relate to the historical development of publishing and communication and looks at the ways blogs structure social networks and at how social networking sites like MySpace and Facebook incorporate blogging in their design. Specific kinds of blogs discussed include political blogs, citizen journalism, confessional blogs and commercial blogs. |
| networks an introduction 2nd edition: The Atlas for the Aspiring Network Scientist Michele Coscia, 2021-01-11 Network science is the field dedicated to the investigation and analysis of complex systems via their representations as networks. We normally model such networks as graphs: sets of nodes connected by sets of edges and a number of node and edge attributes. This deceptively simple object is the starting point of never-ending complexity, due to its ability to represent almost every facet of reality: chemical interactions, protein pathways inside cells, neural connections inside the brain, scientific collaborations, financial relations, citations in art history, just to name a few examples. If we hope to make sense of complex networks, we need to master a large analytic toolbox: graph and probability theory, linear algebra, statistical physics, machine learning, combinatorics, and more. This book aims at providing the first access to all these tools. It is intended as an Atlas, because its interest is not in making you a specialist in using any of these techniques. Rather, after reading this book, you will have a general understanding about the existence and the mechanics of all these approaches. You can use such an understanding as the starting point of your own career in the field of network science. This has been, so far, an interdisciplinary endeavor. The founding fathers of this field come from many different backgrounds: mathematics, sociology, computer science, physics, history, digital humanities, and more. This Atlas is charting your path to be something different from all of that: a pure network scientist. |
| networks an introduction 2nd edition: The Decision-making Network Patrick R. Anderson, Risdon N. Slate, 2011 The Decision-Making Network presents criminal justice to undergraduate students as a network of interrelated decisions made by diverse actors in multiple agencies. Legislative decisions about what should be the content of the criminal law, police officers'' decisions regarding investigation and arrest, prosecutors'' decisions regarding whether to prosecute and what charges to bring, judges'' decisions, appellate court decisions, juries'' decisions, correctional decisions ... all comprise the complex network of criminal justice. This text examines criminal justice decisions in historical context with attention to the Constitutional values and principles which undergird American criminal justice. Students learn how crises often drive the making of law, the development of policies, and the practice of criminal justice. It examines the tensions between civil liberties and public safety, and it introduces the challenges of terrorism, immigration, drug enforcement, and other emerging issues which confront the criminal justice decision maker. There are many introduction to criminal justice textbooks; only a few can be considered classics. This is one of those. When the late Don Newman conceived this text and when Pat Anderson joined him as a co-author, the approach was unique in getting students to consider not what criminal justice is but, rather, how decision-making at various points dynamically affects what we think of as the disparate segments of the criminal justice system. With the addition of Ris Slate in the contemporary version, the decision-making approach continues and is updated to today''s contentious times in which legislative decisions made for ideological reasons result in public expectations at odds with pragmatic criminal justice decisions in the field. One of the most difficult tasks in teaching criminal justice is getting students to understand how ideological views of crime affect the practical nature of decision-making on the streets, in the offices, and around the courtrooms. By introducing these ideas at the level of an introductory course, this text makes a professor''s job substantially easier. -- Frank P. Williams III, University of Houston-Downtown The text presents the criminal justice system in a manner different than other texts--as a complicated network influenced by a variety of actors, many of whom are behind-the-scenes and perhaps motivated by interests other than public safety. This framework for the text is particularly useful, as it helps students to appreciate the complexity of case processing, and more importantly, to understand why things are done as they are done. -- Sharon Chamard, University of Alaska Anchorage The Decision-Making Network is a refreshing alternative to the traditional introduction to criminal justice textbook. As an assistant professor teaching a minimum of four introductory level criminal justice courses per year I value the approach taken by Anderson and Slate in this new text. This book includes both the historical, procedural and constitutional issues necessary for a criminal justice textbook as well as a focus on the values and context surrounding the application of justice in our crime control system. The critical analysis of how social crisis drives public policy concerning crime control is especially inspiring and is sure to invigorate meaningful classroom discussion and enhance critical thinking skills in our students. This book provides not only an overview of the criminal justice system, as is expected of any introduction to criminal justice textbook, but also invites students to ask Why does the system work the way it does? and Is this the best possible way of providing justice? These are valuable skills for any student entering the decision-making network after graduation. -- Suzanne M. Godboldt, Ph.D., Mercyhurst College The Teacher''s Manual is available electronically on a CD or via email. Please contact Beth Hall at bhall@cap-press.com to request a copy. PowerPoint slides are available upon adoption. Sample slides from the full, 658-slide presentation are available to view here. Email bhall@cap-press.com for more information. |
| networks an introduction 2nd edition: Computer Networking: A Top-Down Approach Featuring the Internet, 3/e James F. Kurose, 2005 |
| networks an introduction 2nd edition: An Introduction to Network Modeling and Simulation for the Practicing Engineer Jack L. Burbank, William Kasch, Jon Ward, 2011-10-11 This book provides the practicing engineer with a concise listing of commercial and open-source modeling and simulation tools currently available including examples of implementing those tools for solving specific Modeling and Simulation examples. Instead of focusing on the underlying theory of Modeling and Simulation and fundamental building blocks for custom simulations, this book compares platforms used in practice, and gives rules enabling the practicing engineer to utilize available Modeling and Simulation tools. This book will contain insights regarding common pitfalls in network Modeling and Simulation and practical methods for working engineers. |
| networks an introduction 2nd edition: Introduction to Data Mining Pang-Ning Tan, Michael Steinbach, Vipin Kumar, 2014 Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. Quotes This book provides a comprehensive coverage of important data mining techniques. Numerous examples are provided to lucidly illustrate the key concepts. |
List of United States radio networks - Wikipedia
Alabama Radio Network, a subsidiary of iHeartMedia.; Arizona News Radio, a subsidiary of Skyview Networks. Arkansas Radio Network, a subsidiary of Cumulus Media; California Headline News, a …
What is a Network? - Computer Hope
Jul 18, 2024 · A network is a collection of computers, servers, mainframes, peripherals, or other devices connected to facilitate communication and data sharing.Essentially, it is a system that …
Basics of Computer Networking - GeeksforGeeks
Feb 15, 2025 · Number of ports: 65,536 Range: 0 – 65535 Type “ netstat -a ” in the command prompt and press ‘Enter’, this lists all the ports being used. List of Ports. Socket: The unique combination of IP …
What is a network? Definition, explanation, and examples
Oct 5, 2020 · The Wireless LAN (Wireless Local Area Network, i.e. the Wi-Fi network) in your home is a good example of a small client-server network.The various devices in your home are wirelessly connected …
11 Types of Networks: Understanding the Differences …
Oct 24, 2024 · What are the different types of networks? Networks come in various forms, each tailored to specific needs and scales, from local area networks (LANs) that connect devices within a single …
List of United States radio networks - Wikipedia
Alabama Radio Network, a subsidiary of iHeartMedia.; Arizona News Radio, a subsidiary of Skyview Networks. Arkansas Radio Network, a subsidiary of Cumulus Media; California Headline News, a …
What is a Network? - Computer Hope
Jul 18, 2024 · A network is a collection of computers, servers, mainframes, peripherals, or other devices connected to facilitate communication and data sharing.Essentially, it is a system that allows two or more …
Basics of Computer Networking - GeeksforGeeks
Feb 15, 2025 · Number of ports: 65,536 Range: 0 – 65535 Type “ netstat -a ” in the command prompt and press ‘Enter’, this lists all the ports being used. List of Ports. Socket: The unique combination of IP address and …
What is a network? Definition, explanation, and examples
Oct 5, 2020 · The Wireless LAN (Wireless Local Area Network, i.e. the Wi-Fi network) in your home is a good example of a small client-server network.The various devices in your home are wirelessly connected to the …
11 Types of Networks: Understanding the Differences - A…
Oct 24, 2024 · What are the different types of networks? Networks come in various forms, each tailored to specific needs and scales, from local area networks (LANs) that connect devices within a single location to wide …
