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Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

  • Building DMZs For Enterprise Networks

    • 1st Edition
    • Syngress
    • English
    This book covers what an administrator needs to plan out and integrate a DMZ into a network for small, medium and Enterprise networks. In most enterprises the perception is that a firewall provides a hardened perimeter. However, the security of internal networks and hosts is usually very soft. In such an environment, a non-DMZ system that is offering services to the Internet creates the opportunity to leapfrog to other hosts in the soft interior of your network. In this scenario your internal network is fair game for any attacker who manages to penetrate your so-called hard perimeter.
  • Advances in Computers

    • 1st Edition
    • Volume 59
    • Marvin Zelkowitz
    • English
    Since 1960, Advances in Computers has chronicled the constantly shifting theories and methods of Information Technology which greatly shapes our lives today. This volume, the 59th in the series, presents two general themes. The first 4 papers discuss tool use in developing software - how groups work together to produce a product, and why the very industries that need them often do NOT adopt such tools. The fifth paper addresses a current hardware issue - cache coherence. As we build faster machines, a way to increase performance is to have multiple CPUs working on solving the same problem. This requires two or more CPUs to address the same memory at the same time. The cache coherence problem is how to allow both machines to access the same memory without "stepping on each others toes" so that memory gets lost or corrupted.
  • Linux and the Unix Philosophy

    • 1st Edition
    • Mike Gancarz
    • English
    Unlike so many books that focus on how to use Linux, Linux and the Unix Philosophy explores the "way of thinking that is Linux" and why Linux is a superior implementation of this highly capable operating system.This book is a revision and expansion of a computer science classic. Every chapter has been thoroughly updated with Linux coverage.Linux and the Unix Philosophy falls squarely between the "softer" texts on iterative software design and project management and the "how-to" technical texts. Thus far, no one has come out with a book that addresses this topic, either in the Unix space or the Linux space. Linux and the Unix Philosophy covers the same ground as the first edition, while it also presents bold new ideas about Linux and Open Source.
  • Bioinformatics

    Managing Scientific Data
    • 1st Edition
    • Zoé Lacroix + 1 more
    • English
    Life science data integration and interoperability is one of the most challenging problems facing bioinformatics today. In the current age of the life sciences, investigators have to interpret many types of information from a variety of sources: lab instruments, public databases, gene expression profiles, raw sequence traces, single nucleotide polymorphisms, chemical screening data, proteomic data, putative metabolic pathway models, and many others. Unfortunately, scientists are not currently able to easily identify and access this information because of the variety of semantics, interfaces, and data formats used by the underlying data sources. Bioinformatics: Managing Scientific Data tackles this challenge head-on by discussing the current approaches and variety of systems available to help bioinformaticians with this increasingly complex issue. The heart of the book lies in the collaboration efforts of eight distinct bioinformatics teams that describe their own unique approaches to data integration and interoperability. Each system receives its own chapter where the lead contributors provide precious insight into the specific problems being addressed by the system, why the particular architecture was chosen, and details on the system's strengths and weaknesses. In closing, the editors provide important criteria for evaluating these systems that bioinformatics professionals will find valuable.
  • Network Simulation Experiments Manual

    • 1st Edition
    • Emad Aboelela
    • English
    The lab exercises contained in the network simulation experiments manual are based on the OPNET simulator (v. 9), a network simulation tool that was originally developed at M.I.T. It provides networking professionals with the option of implementing experiments from their homes or workplaces and the lab manual comes with directions for downloading the free easy-to-install software (special version to this book only--see system requirements below). These labs run through simulations closely tied to the material in the text so that you can visualize the discussions covering core network topologies. Various scenarios are presented within each topology, and review questions and a lab report exercise accompany each lab experiment. The experiments also follows the organization of Computer Networks, Third Edition, by Larry Peterson and Bruce Davie.System requirements for using the OPNET IT Guru Academic Edition release 9.1:-Intel Pentium III, 4 or compatible (500 MHz or better)-256 MB RAM-400 MB disk space-Display: 1024 x 768 or higher resolution, 256 or more colors-The English language version of the following operating systems are supported:Microsoft Windows NT (Service Pack 3, 5, or 6a)Windows 2000 (Service Pack 1 and 2 are supported but not required)Windows XP (Service Pack 1 is required)
  • Computer Systems Performance Evaluation and Prediction

    • 1st Edition
    • Paul Fortier + 1 more
    • English
    Computer Systems Performance Evaluation and Prediction bridges the gap from academic to professional analysis of computer performance.This book makes analytic, simulation and instrumentation based modeling and performance evaluation of computer systems components understandable to a wide audience of computer systems designers, developers, administrators, managers and users. The book assumes familiarity with computer systems architecture, computer systems software, computer networks and mathematics including calculus and linear algebra.
  • Practical SCADA for Industry

    • 1st Edition
    • David Bailey + 1 more
    • English
    A SCADA system gathers information, such as where a leak on a pipeline has occurred, transfers the information back to a central site, alerting the home station that the leak has occurred, carrying out necessary analysis and control, such as determining if the leak is critical, and displaying the information in a logical and organized fashion. SCADA systems can be relatively simple, such as one that monitors environmental conditions of a small office building, or incredibly complex, such as a system that monitors all the activity in a nuclear power plant or the activity of a municipal water system.
  • XML for Data Architects

    Designing for Reuse and Integration
    • 1st Edition
    • James Bean
    • English
    "The book addresses a sorely missing set of considerations in the real world... This is a very timely book."-Peter Herzum, author of Business Component Factory and CEO of Herzum SoftwareXML is a tremendous enabler for platform agnostic data and metadata exchanges. However, there are no clear processes and techniques specifically focused on the engineering of XML structures to support reuse and integration simplicity, which are of particular importance in the age of application integration and Web services. This book describes the challenges of using XML in a manner that promotes simplification of integration, and a high degree of schema reuse. It also describes the syntactical capabilities of XML and XML Schemas, and the similarities (and in some cases limitations) of XML DTDs. This book presents combinations of architectural and design approaches to using XML as well as numerous syntactical and working examples.
  • Practical Data Acquisition for Instrumentation and Control Systems

    • 1st Edition
    • John Park + 1 more
    • English
    * Covers all aspects of the data acquisition system from design and specification to programming, installation and configuration * Gives both the novice and experienced user a solid understanding of interfacing the PC and standalone instruments to real-world signals from the laboratory to the industrial plant * Provides a thorough grasp of PC data acquisition systems and the ability to design, specify, install and configure and program data acquisition systems quickly and effectivelyThis book focuses on data acquisition and control using the PC and standalone instruments. The PC has made a dramatic impact in the ease with which the technician, scientist and engineer today can set up their own test and measurement system at a remarkably low cost. And this book aims to show you how easy it is with plenty of carefully researched information. The popular IEEE 488 interface is also covered. All aspects of the data acquisition system are included from design and specification to programming, installation and configuration. This book gives both the novice and experienced user a solid grasp of the principles and practical implementation of interfacing the PC and standalone instruments to real-world signals from the laboratory to the industrial plant. Once you have read the book, you will have a thorough grasp of PC data acquisition systems and will be able to design, specify, install and configure and program data acquisition systems quickly and effectively.
  • Modeling Embedded Systems and SoC's

    Concurrency and Time in Models of Computation
    • 1st Edition
    • Axel Jantsch
    • English
    Over the last decade, advances in the semiconductor fabrication process have led to the realization of true system-on-a-chip devices. But the theories, methods and tools for designing, integrating and verifying these complex systems have not kept pace with our ability to build them. System level design is a critical component in the search for methods to develop designs more productively. However, there are a number of challenges that must be overcome in order to implement system level modeling. This book directly addresses that need by developing organizing principles for understanding, assessing, and comparing the different models of computation necessary for system level modeling. Dr. Axel Jantsch identifies the representation of time as the essential feature for distinguishing these models. After developing this conceptual framework, he presents a single formalism for representing very different models, allowing them to be easily compared. As a result, designers, students, and researchers are able to identify the role and the features of the "right" model of computation for the task at hand.