Computer Networks

Computers are developing into a powerful medium integrating film, pictures, text and sound, and the use of computers for communication and information is rapidly expanding. The Computer as Medium brings insights from art, literature and theatre to bear on computers and discusses the communicative and organizational nature of computer networks within a historical perspective. The book consists of three parts. The first part characterizes the semiotic nature of computers and discusses semiotic approaches to programming and interface design. The second part discusses narrative and aesthetic issues of interactive fiction, information systems and hypertext. The final part contains papers on the cultural, organizational and historical impact of computers.The broad and rich coverage of this book will appeal to scholars in cognitive science, computer science, linguistics, semiotics, media studies and mass communications, cultural studies and education.

The rapid advancement of information technology in modern societies affects the way we live, communicate, work, and entertain. Computers and computer networks formulate an information age in which tr

Bulusu (computer science, Portland State University) and Jha (computer science, University of New South Wales, Australia) offer an in-depth understanding of wireless sensor networks from a systems per

Taking a hands-on approach, this textbook for a second course in computer networking introduces students to internet protocols through a series of ten lab exercises that require Cisco routers, Linux P

Schaum's Outline of Computer Networking introduces the underlying concepts, principles, and terminology of computer networks. Covering the full scope of material taught in computer networking courses,

By focusing on the convergence of the telephone, computer networking, cable TV, and wireless industries, this fully revised second edition explains current and emerging networking technologies. The au

The use of neural networks in signal processing is becoming increasingly widespread, with applications in many areas. Applied Neural Networks for Signal Processing is the first book to provide a comprehensive introduction to this broad field. It begins by covering the basic principles and models of neural networks in signal processing. The authors then discuss a number of powerful algorithms and architectures for a range of important problems, and describe practical implementation procedures. A key feature of the book is that many carefully designed simulation examples are included to help guide the reader in the development of systems for new applications. The book will be an invaluable reference for scientists and engineers working in communications, control or any other field related to signal processing. It can also be used as a textbook for graduate courses in electrical engineering and computer science.

Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought to

Computers are developing into a powerful medium integrating film, pictures, text and sound, and the use of computers for communication and information is rapidly expanding. The Computer as Medium brings insights from art, literature and theatre to bear on computers and discusses the communicative and organizational nature of computer networks within a historical perspective. The book consists of three parts. The first part characterizes the semiotic nature of computers and discusses semiotic approaches to programming and interface design. The second part discusses narrative and aesthetic issues of interactive fiction, information systems and hypertext. The final part contains papers on the cultural, organizational and historical impact of computers.The broad and rich coverage of this book will appeal to scholars in cognitive science, computer science, linguistics, semiotics, media studies and mass communications, cultural studies and education.

The questions of how a large population of neurons in the brain functions, how synchronized firing of neurons is achieved, and what factors regulate how many and which neurons fire under different conditions form the central theme of this book. Using a combined experimental-theoretical approach unique in neuroscience, the authors present important techniques for the physiological reconstruction of a large biological neuronal network. They begin by discussing experimental studies of the CA3 hippocampal region in vitro, focusing on single-cell and synaptic electrophysiology, particularly the effects a single neuron exerts on its neighbours. This is followed by a description of a computer model of the system, first for individual cells then for the entire detailed network, and the model is compared with experiments under a variety of conditions. The results shed significant light into the mechanisms of epilepsy, electroencephalograms, and biological oscillations and provide an excellent t

This 1989 book provides an introduction to the immensely important area of computer networking. The book covers everything from systems linked by telephone lines to tightly coupled networks of processors using high speed links, and the correspondingly broad range of techniques that are needed. The emphasis throughout is on the understanding of the principles that may rapidly become out of date. However, detailed discussion of standards and systems is given where they are widely accepted and likely to be long-lasting. In particular the ARPANET and OSI standards are discussed. The author's style is extremely accessible, and many real-life examples are given to illustrate the discussion.

There has been an enormous increase in research activity aimed at elucidating the basis for cortical activity in the brain. Among modern techniques used in this area of scientific endeavour, few have proved as popular as computer simulation. Model neural networks are the subject of intense study, and some remarkable properties have already come to light: these networks are able to discriminate, remember and associate. Professor Cotterill has assembled leading experts in this burgeoning field to produce an exciting review of advances. The volume covers the creation of computer models of neural networks, and their use in the study of neural function, of cognition, memory and vision. The results and future directions explored here will have an important bearing on research into brain function, physiology, psychology, biophysics and artificial intelligence.

This 1987 book is a self-contained text on the probabilistic modelling method. It provides the reader with an understanding of the available results as well as with examples of their application. The only background assumed is a knowledge of basic calculus. The necessary fundamentals of probability are presented followed by an introduction to stochastic processes. The remainder of the book is devoted to the treatment of various single-station and their application to uni-programmed and multi-programmed systems and local and wide-area networks. Both exact and approximate solution methods are discussed, with as much emphasis on explaining the ideas and providing information, as on derivations and proofs. This book will still be of use for anyone with an interest in the history of computer science.

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

One of the hottest trends in the networking industry is to apply analytics to improve performance, security, and value. Everyone’s talking about integrating analytics in networks. But successful

This book written for students of electronics and communication, students of computer science and communications engineers addresses topics such as Introduction of CRN, Advanced spectrum sensing techn

This book comprises select proceedings of the 2015 annual conference of the Computer Society of India. The books focuses on next generation networks (NGN). An NGN is a packet-based network which can p

Even though 4G (fourth-generation mobile cellular networks) is not yet mainstream, computer scientists here say that a new generation is already needed with multidimensional requirements and challe

Noting that social network analysis falls within the realm of big data computing, computer and information scientists synthesize recent research in using graph theory for analyzing large-scale soc

Computer scientists and electrical engineers present a reference on designing secure wireless networks in the context of current network and security technologies. Their topics include a framework

Classical social choice theory relies heavily on the assumption that all individuals have fixed preference orderings. This highly original book presents a new theory of social preferences that explicitly accounts for important social phenomena such as coordination, compromise, negotiation and altruism. Drawing on cybernetics and network theory, it extends classical social choice theory by constructing a framework that allows for dynamic preferences that are modulated by the situation-dependent social influence that they exert on each other. In this way the book shows how members of a social network may modulate their preferences to account for social context. This important expansion of social choice theory will be of interest to readers in a wide variety of disciplines, including economists and political scientists concerned with choice theory as well as computer scientists and engineers working on network theory.

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction

Now in its second edition, Digital Contagions is the first book to offer a comprehensive and critical analysis of the culture and history of the computer virus.At a time when our networks arguably fee

The Computer Forensic Series by EC-Council provides the knowledge and skills to identify, track, and prosecute the cyber-criminal. The series is comprised of four books covering a broad base of topics

This book provides an authoritative guide for postgraduate students and academic researchers in electronics, computer and network engineering, telecommunications, energy technology and home automation

We are increasingly seeing computer systems which are expected to function without operator intervention. This is perhaps acceptable for running computer networks or traffic lights; however, we are no

The first three centuries AD saw the spread of new religious ideas through the Roman Empire, crossing a vast and diverse geographical, social and cultural space. In this innovative study, Anna Collar explores both how this happened and why. Drawing on research in the sociology and anthropology of religion, physics and computer science, Collar explores the relationship between social networks and religious transmission to explore why some religious movements succeed, while others, seemingly equally successful at a certain time, ultimately fail. Using extensive epigraphic data, Collar provides new interpretations of the diffusion of ideas across the social networks of the Jewish Diaspora and the cults of Jupiter Dolichenus and Theos Hypsistos, and in turn offers important reappraisals of the spread of religious innovations in the Roman Empire. This study will be a valuable resource for students and scholars of ancient history, archaeology, ancient religion and network theory.

"This book presents scientific, theoretical, and practical insight on the software and technology of social networks and the factors that boost communicability, highlighting different disciplines in t

"A computer worm is a kind of malicious program that self-replicates automatically and quickly to compromise the security of a computer network. A polymorphic worm is able to change its payload in eve

Biosystems Engineering I explores all aspects of biotechnology, which blends aspects of chemistry, biochemistry, microbiology, genetics, chemical engineering and computer sciences. Topics include the

"This book introduces Higher Order Neural Networks (HONNs) to computer scientists and computer engineers as an open box neural networks tool when compared to traditional artificial neural networks"--P

The conception of real-time control networks taking into account, as an integrating approach, both the specific aspects of information and knowledge processing and the dynamic and energetic particular