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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.

  • Robotics, Mechatronics and Manufacturing Systems

    • 1st Edition
    • December 2, 2012
    • T. Takamori + 1 more
    • English
    One of the most important problems in the field of engineering and technology is the development of so-called intelligent systems, which can perform various intellectual tasks.This book is dedicated to the current progress of research in this vast field and specifically explores the topics of robotics, mechatronics and manufacturing systems.

  • Pattern Recognition in Practice II

    • 1st Edition
    • December 2, 2012
    • L.N. Kanal + 1 more
    • English
    The 1985 Amsterdam conference brought together researchers active in pattern recognition methodology and the development of practical applications. The first part of the book covers various methodological aspects of image processing, knowledge based and model driven image understanding systems, 3-D reconstruction methods, and application oriented papers. Part II deals with aspects of statistical pattern recognition, the problem of population classification, and topics common to both pattern recognition and artificial intelligence.

  • SDL '95 with MSC in CASE

    • 1st Edition
    • December 2, 2012
    • R. Braek + 1 more
    • English
    Message Sequence Charts (MSC) have had an unanticipated success, both with SDL, on its own and in conjunction with other methods and tools. Major tool vendors now offer both SDL and MSC in their tool set. This timely volume reports on the recent developments in this expanding field. Several papers deal with language issues, tools and methods for effective use of MSC. Advances in "SDL technology" are discussed, and several papers deal with the early stages of product development and how SDL may be complemented by other methods, such as OMT, to improve problem understanding and make better SDL designs. New developments in the areas of tools for verification, validation and testing are also included, together with a large number of papers on applications.

  • Fifth Generation Computer Systems

    • 1st Edition
    • December 2, 2012
    • T. Moto-Oka
    • English
    The Japan Information Processing Development Centre (JIPDEC) established a committee for Study and Research on Fifth-Generation Computers. Beginning in 1979, this Committee set out on a two-year investigation into the most desirable types of computer systems for application in the 1990`s (fifth-generation computers) and how the development projects aimed at the realization of these systems should be carried forward.This book contains the papers presented at the International Conference on Fifth Generation Computer Systems. Included among these papers is a preliminary report on the findings of the Committee.

  • Case-Based Planning

    Viewing Planning as a Memory Task
    • 1st Edition
    • December 2, 2012
    • Kristian J. Hammond
    • English
    Perspectives in Artificial Intelligence, Volume 1: Case-Based Planning: Viewing Planning as a Memory Task focuses on the processes, methodologies, and techniques employed in viewing planning as a memory task. The publication first elaborates on planning and memory and learning from planning. Discussions focus on learning from cases, learning plans, learning to predict failures, case-based planning, structure of case-based planning, and learning from planning. The text then elaborates on planning from memory and planning Thematic Organization Packets (TOPs) and strategies, including TOPs in understanding and planning, TOPs and strategies, and function of memory. The manuscript takes a look at modifying and repairing plans, case-based planning, and planning and planners. Topics include CHEF as a program, case-based planning as planning and learning, noticing and explaining the failure, storing the plan, different situations for altering plans, and introduction of failure. The publication is a vital reference for researchers interested in viewing planning as a memory task.

  • An Introduction to Direct Access Storage Devices

    • 1st Edition
    • December 2, 2012
    • Hugh M. Sierra
    • English
    This book presents an exposition of the technology, design, organization, and structure of direct access storage devices (disk drives). It includes a discussion of the evolution of the technology (magnetic recording) and an assessment of other storage technologies, including optical recording. Examples of codes used in past implementations of disk drives as well as an application of disk drive usage dictated by reliability considerations are also included. The presentation assumes a minimum knowledge of magnetic recording, servomechanism design, and coding.

  • The System Engineers Handbook

    • 1st Edition
    • December 2, 2012
    • John Black
    • English
    The System Engineer's Handbook, written by the developer of the VME bus system and some of the most knowledgeable experts in the computer industry, is the most comprehensive guide available for the VME bus standard. It is the system engineer's guide to building high performance multiprocessor systems. This book contains complete copies of VME bus and VXI bus specifications and applications information, enabling a system engineer to purchase state-of-the-art board components from specialized manufacturers and assemble them into a fully-functional system.

  • Radiosity and Realistic Image Synthesis

    • 1st Edition
    • December 2, 2012
    • Michael F. Cohen + 1 more
    • English
    The goal of image synthesis is to create, using the computer, a visual experience that is identical to what a viewer would experience when viewing a real environment. Radiosity and Realistic Image Synthesis offers the first comprehensive look at the radiosity method for image synthesis and the tools required to approach this elusive goal. Basic concepts and mathematical fundamentals underlying image synthesis and radiosity algorithms are covered thoroughly. (A basic knowledge of undergraduate calculus is assumed). The algorithms that have been developed to implement the radiosity method ranging from environment subdivision to final display are discussed. Successes and difficulties in implementing and using these algorithms are highlighted. Extensions to the basic radiosity method to include glossy surfaces, fog or smoke, and realistic light sources are also described. There are 16 pages of full colour images and over 100 illustrations to explain the development and show the results of the radiosity method. Results of applications of this new technology from a variety of fields are also included.Michael Cohen has worked in the area of realistic image synthesis since 1983 and was instrumental in the development of the radiosity method. He is currently an assistant professor of computer science at Princeton University. John Wallace is a software engineer at 3D/EYE, Inc., where he is the project leader for the development of Hewlett-Packard's ATRCore radiosity and ray tracing library. A chapter on the basic concepts of image synthesis is contributed by Patrick Hanrahan. He has worked on the topic of image synthesis at Pixar, where he was instrumental in the development of the Renderman software. He has also led research on the hierarchical methods at Princeton University, where he is an associate professor of computer science. All three authors have written numerous articles on radiosity that have appeared in the SIGGAPH proceedings and elsewhere. They have also taught the SIGGRAPH course on radiosity for 5 years.

  • Software Engineering

    Proceedings of the Third Symposium on Computer and Information Sciences held in Miami beach, Florida, December, 1969
    • 1st Edition
    • December 2, 2012
    • Julius Tou
    • English
    Software Engineering, Volume I is a compilation of the proceedings of the Third Symposium on Computer and Information Sciences held in Miami Beach, Florida, on December 18-20, 1969. The papers explore developments in software engineering and cover topics ranging from computer organization to systems programming and programming languages. This volume is comprised of 15 chapters and begins with an overview of the emergence of software engineering as a profession, followed by a discussion on computer systems organization. A virtual processor for real-time job or transaction control is then described, along with the architecture of the B-6500 computer. Subsequent chapters focus on the use and performance of memory hierarchies; the use of extended core storage in a multiprogramming operating system; methods of improving software development; and techniques for automatic program translation. The final chapter considers the extensibility of FORTRAN. This book is intended for scientists, engineers, and educators in the field of computer and information science.

  • Artificial Intelligence in Chemical Engineering

    • 1st Edition
    • December 2, 2012
    • Thomas E. Quantrille + 1 more
    • English
    Artificial intelligence (AI) is the part of computer science concerned with designing intelligent computer systems (systems that exhibit characteristics we associate with intelligence in human behavior). This book is the first published textbook of AI in chemical engineering, and provides broad and in-depth coverage of AI programming, AI principles, expert systems, and neural networks in chemical engineering. This book introduces the computational means and methodologies that are used to enable computers to perform intelligent engineering tasks. A key goal is to move beyond the principles of AI into its applications in chemical engineering. After reading this book, a chemical engineer will have a firm grounding in AI, know what chemical engineering applications of AI exist today, and understand the current challenges facing AI in engineering.

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