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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.

  • Scientific Computing

    An Introduction with Parallel Computing
    • 1st Edition
    • June 28, 2014
    • Gene H. Golub + 1 more
    • English
    This book introduces the basic concepts of parallel and vector computing in the context of an introduction to numerical methods. It contains chapters on parallel and vector matrix multiplication and solution of linear systems by direct and iterative methods. It is suitable for advanced undergraduate and beginning graduate courses in computer science, applied mathematics, and engineering. Ideally, students will have access to a parallel or Vector computer, but the material can be studied profitably in any case.

  • Motion Control for Intelligent Automation

    • 1st Edition
    • June 28, 2014
    • A. De Carli + 1 more
    • English
    Motion Control is a rapidly evolving topic, with a wide range of applications, especially in robotics. Speed and position control of a mechanical system has always been one of the main problems in automatic control, as the demand increases for advanced levels of accuracy and dynamics. The study of motion control aims to combine theoretical approaches with the realization of mechanical systems characterized by high levels of performance. The IFAC workshop focused on the evolution of: mechanical systems modelling; control strategies; intelligent instrumentation; dedicated microprocessor devices, and new fields of application.

  • Artificial Intelligence Planning Systems

    Proceedings of the First Conference (AIPS 92)
    • 1st Edition
    • June 28, 2014
    • James Hendler
    • English
    Artificial Intelligence Planning Systems documents the proceedings of the First International Conference on AI Planning Systems held in College Park, Maryland on June 15-17, 1992. This book discusses the abstract probabilistic modeling of action; building symbolic primitives with continuous control routines; and systematic adaptation for case-based planning. The analysis of ABSTRIPS; conditional nonlinear planning; and building plans to monitor and exploit open-loop and closed-loop dynamics are also elaborated. This text likewise covers the modular utility representation for decision-theoretic planning; reaction and reflection in tetris; and planning in intelligent sensor fusion. Other topics include the resource-bounded adaptive agent, critical look at Knoblock's hierarchy mechanism, and traffic laws for mobile robots. This publication is beneficial to students and researchers conducting work on AI planning systems.

  • Reliable Computer Systems

    Design and Evaluatuion
    • 2nd Edition
    • June 28, 2014
    • Daniel Siewiorek + 1 more
    • English
    Enhance your hardware/software reliabilityEnhanceme... of system reliability has been a major concern of computer users and designers ¦ and this major revision of the 1982 classic meets users' continuing need for practical information on this pressing topic. Included are case studies of reliablesystems from manufacturers such as Tandem, Stratus, IBM, and Digital, as well as coverage of special systems such as the Galileo Orbiter fault protection system and AT&T telephone switching processors.

  • Channel Coding: Theory, Algorithms, and Applications

    Academic Press Library in Mobile and Wireless Communications
    • 1st Edition
    • June 25, 2014
    • David Declercq + 2 more
    • English
    This book gives a review of the principles, methods and techniques of important and emerging research topics and technologies in Channel Coding, including theory, algorithms, and applications. Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic. With this reference source you will: Quickly grasp a new area of research Understand the underlying principles of a topic and its applications Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved

  • Computer System Organization

    The B5700/B6700 Series
    • 1st Edition
    • June 25, 2014
    • Elliott I. Organick
    • Robert L. Ashenhurst
    • English
    Computer System Organization: The B5700/B6700 Series focuses on the organization of the B5700/B6700 Series developed by Burroughs Corp. More specifically, it examines how computer systems can (or should) be organized to support, and hence make more efficient, the running of computer programs that evolve with characteristically similar information structures. Comprised of nine chapters, this book begins with a background on the development of the B5700/B6700 operating systems, paying particular attention to their hardware/software architecture. The discussion then turns to the block-structured processes involved in the B6700 job, which consists of a time-invariant algorithm and a time-varying data structure which is the record of execution of that algorithm. Subsequent chapters deal with the basic data structures for B6700 algorithms; task attributes and the creation and coordination of tasks; stack structure and stack ownership; and software interrupts. Storage control strategies as well as the pros and cons of B6700 are also considered, along with some hardware details of procedure entry and return and tasking. This monograph is intended for computer center directors, other computer professionals, and serious students in computer science who have an interest in the subject of computer organization.

  • Advances in Non-volatile Memory and Storage Technology

    • 1st Edition
    • June 12, 2014
    • Yoshio Nishi
    • English
    New solutions are needed for future scaling down of nonvolatile memory. Advances in Non-volatile Memory and Storage Technology provides an overview of developing technologies and explores their strengths and weaknesses. After an overview of the current market, part one introduces improvements in flash technologies, including developments in 3D NAND flash technologies and flash memory for ultra-high density storage devices. Part two looks at the advantages of designing phase change memory and resistive random access memory technologies. It looks in particular at the fabrication, properties, and performance of nanowire phase change memory technologies. Later chapters also consider modeling of both metal oxide and resistive random access memory switching mechanisms, as well as conductive bridge random access memory technologies. Finally, part three looks to the future of alternative technologies. The areas covered include molecular, polymer, and hybrid organic memory devices, and a variety of random access memory devices such as nano-electromechanic... ferroelectric, and spin-transfer-torque magnetoresistive devices. Advances in Non-volatile Memory and Storage Technology is a key resource for postgraduate students and academic researchers in physics, materials science, and electrical engineering. It is a valuable tool for research and development managers concerned with electronics, semiconductors, nanotechnology, solid-state memories, magnetic materials, organic materials, and portable electronic devices.

  • Cloud Networking

    Understanding Cloud-based Data Center Networks
    • 1st Edition
    • June 9, 2014
    • Gary Lee
    • English
    Cloud Networking: Understanding Cloud-Based Data Center Networks explains the evolution of established networking technologies into distributed, cloud-based networks. Starting with an overview of cloud technologies, the book explains how cloud data center networks leverage distributed systems for network virtualization, storage networking, and software-defined networking. The author offers insider perspective to key components that make a cloud network possible such as switch fabric technology and data center networking standards. The final chapters look ahead to developments in architectures, fabric technology, interconnections, and more. By the end of the book, readers will understand core networking technologies and how they’re used in a cloud data center.

  • Bridging UX and Web Development

    Better Results through Team Integration
    • 1st Edition
    • June 6, 2014
    • Jack Moffett
    • English
    The divide between UX and Web development can be stifling. Bridging UX and Web Development prepares you to break down those walls by teaching you how to integrate with your team’s developers. You examine the process from their perspective, discovering tools and coding principles that will help you bridge the gap between design and implementation. With these tried and true approaches, you’ll be able to capitalize on a more productive work environment. Whether you’re a novice UX professional finding your place in the software industry and looking to nail down your technical skills, or a seasoned UI designer looking for practical information on how to integrate your team with development, this is the must-have resource for your UX library.

  • Principles of Knowledge Representation and Reasoning

    Proceedings of the Fourth International Conference (KR '94)
    • 1st Edition
    • June 5, 2014
    • Jon Doyle + 2 more
    • English
    Principles of Knowledge Representation and Reasoning contains the proceedings of the Fourth International Conference on Principles of Knowledge Representation and Reasoning (KR '94) held in Bonn, Germany, on May 24-27, 1994. The conference provided a forum for reviewing the theory and principles underlying knowledge representation and reasoning. Topics covered range from reasoning about mental states and spatial reasoning with propositional logics to default logic as a query language. Comprised of 60 chapters, this book begins with a description of a formal language for representing and reasoning about time and action before turning to proof in context and how it can replace the most common uses of reflection principles. The reader is then introduced to reasoning with minimal models; belief ascription and mental-level modeling; and a unified framework for class-based representation formalisms. A general approach to specificity in default reasoning is also described, together with an ontology for engineering mathematics and the use of abduction to generate tests. The book concludes by considering the use of natural language for knowledge representation and reasoning. This monograph will be of interest to both students and practitioners in the fields of artificial intelligence and computer science.

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