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Elsevier

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.

  • The Digital Technical Documentation Handbook

    • 1st Edition
    • Susan K. Schultz + 3 more
    • English
    The Digital Technical Documentation Handbook describes the process of developing and producing technical user information at Digital Equipment Corporation. * Discusses techniques for making user information _more effective * Covers the draft and reviewprocess, the production and distribution of printed and electronic media, archiving, indexing, testing for usability, and many other topics * Provides quality assurance checklists, contains a glossary and a bibliography of resources for technicalcommunicato...

  • Uncertainty in Artificial Intelligence

    Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence, UCLA, at Los Angeles, July 13-15, 1991
    • 1st Edition
    • Bruce D'Ambrosio + 2 more
    • English
    Uncertainty in Artificial Intelligence: Proceedings of the Seventh Conference (1991) covers the papers presented at the Seventh Conference on Uncertainty in Artificial Intelligence, held on July 13-15, 1991 at the University of California at Los Angeles (UCLA). The book focuses on the processes, technologies, developments, and approaches involved in artificial intelligence. The selection first offers information on combining multiple-valued logics in modular expert systems; constraint propagation with imprecise conditional probabilities; and Bayesian networks applied to therapy monitoring. The text then examines some properties of plausible reasoning; theory refinement on Bayesian networks; combination of upper and lower probabilities; and a probabilistic analysis of marker-passing techniques for plan-recognition. The publication ponders on symbolic probabilistic inference (SPI) with continuous variables, SPI with evidence potential, and local expression languages for probabilistic dependence. Topics include local expression languages for probabilistic knowledge, evidence potential algorithm, symbolic inference with evidence potential, and SPI with continuous variables algorithm. The manuscript also takes a look at the compatibility of quantitative and qualitative representations of belief and a method for integrating utility analysis into an expert system for design evaluation under uncertainty. The selection is a valuable source of data for researchers interested in artificial intelligence.

  • Machine Learning Proceedings 1992

    Proceedings of the Ninth International Workshop (ML92)
    • 1st Edition
    • Peter Edwards + 1 more
    • English
    Machine Learning: Proceedings of the Ninth International Workshop (ML92) covers the papers and posters presented at ML92, the Ninth International Machine Learning Conference, held at Aberdeen, Scotland on July 1-3, 1992. The book focuses on the advancements of practices, methodologies, approaches, and techniques in machine learning. The selection first offers information on the principal axes method for constructive induction; learning by incomplete explanations of failures in recursive domains; and eliminating redundancy in explanation-based learning. Topics include means-ends analysis search in recursive domains, description space transformation, distance metric, generating similarity matrix, and learning principal axes. The text then examines trading off consistency and efficiency in version-space induction; improving path planning with learning; finding the conservation of momentum; and learning to predict in uncertain continuous tasks. The manuscript elaborates on a teaching method for reinforcement learning, compiling prior knowledge into an explicit bias, spatial analogy and subsumption, and multistrategy learning with introspective meta-explanations. The publication also ponders on selecting typical instances in instance-based learning and temporal difference learning of backgammon strategy. The selection is a valuable source of information for researchers interested in machine learning.

  • Information System Development Process

    Proceedings of the IFIP WG8.1 Working Conference on Information System Development Process, Como, Italy, 1-3 September, 1993
    • 1st Edition
    • Volume 30
    • N. Prakash + 2 more
    • English
    This volume aims to pave the way to a greater understanding of the information system development process. Traditionally, information systems have been perceived as a slice of real world history. This has led to a strong emphasis on the development of conceptual models, the requirements specifications of which can readily be expressed. However, the route to such an expression, or the process of development, has not received any substantial attention.It is now agreed that a study of the development process affords notable benefits. Firstly, it helps to create an understanding of what a realistic development process is and how it proceeds from an initial specification to its acceptable representation. Secondly, the nature of guidance that can be provided by the next generation of CASE tools can be substantially improved. It can be expected that these tools will cease to be mere drafting aids and consistency checking programs. Instead it is likely that they will provide a procreative environment in which the development engineer will play an important role. This tool/user symbiosis should have a beneficial impact on both the productivity of the developer and on the quality of the product.In bringing together researchers and practitioners from such diverse areas as AI, Software Engineering, Decision Support and Information Systems, it is hoped this publication will take the quest to comprehend information system development processes a significant step forwards.

  • The User's Directory of Computer Networks

    • 1st Edition
    • Tracy Laquey
    • English
    Your map through the network jungle.Here's how to track down virtually every network available to academics and researchers. This new book, with its detailed compilation of host- level information, provides everything you need to locate resources, send mail to colleagues and friendsworldwide, and answer questions about how to access major national and international networks. Extensively cross- referenced information on ARPANET/MILNET, BITNET, CSNET, Esnet, NSFNET, SPAN, THEnet, USENET, and loads of others is all provided. Includedare detailed lists of hosts, site contacts, administrative domains, and organizations. Plus, a tutorial chapter with handy reference tables reveals electronic mail 'secrets' that make it easier to take advantage of networking.

  • Planning and Design of Information Systems

    • 1st Edition
    • André Blokdijk
    • English
    Planning and Design of Information Systems provides a theoretical base and a practical method of executing the planning of computerized information systems, and the planning and design of individual applications. The book is organized into five parts, covering the non-technical and nonimplementational part of information systems planning, design, and development. Part I gives the theoretical base for the subsequent parts of the book. It discusses modeling, techniques, notations, boundaries, quality issues and aspects, and decomposition techniques and problems. Part II discusses the needs, problems, and possible solutions for user participation. It describes user organizations, in respect of culture; maturity in the use of automation and computers; and gives a synthesis of participation, cultures, maturity, and information systems development techniques. Part III describes how to develop an Information Systems Architecture, an Information Systems Plan, and a Data Architecture. Part IV presents a structured, programmed approach to planning an application in a short period while maintaining high quality, and discusses project management of application development. Part V covers information analysis, data specification and conceptual data base design, and process and dialog design.

  • Uncertainty in Artificial Intelligence 4

    • 1st Edition
    • Volume 9
    • T.S. Levitt + 3 more
    • English
    Clearly illustrated in this volume is the current relationship between Uncertainty and AI.It has been said that research in AI revolves around five basic questions asked relative to some particular domain: What knowledge is required? How can this knowledge be acquired? How can it be represented in a system? How should this knowledge be manipulated in order to provide intelligent behavior? How can the behavior be explained? In this volume, all of these questions are addressed. From the perspective of the relationship of uncertainty to the basic questions of AI, the book divides naturally into four sections which highlight both the strengths and weaknesses of the current state of the relationship between Uncertainty and AI.

  • Scalable Shared-Memory Multiprocessing

    • 1st Edition
    • Daniel E. Lenoski + 1 more
    • English
    Dr. Lenoski and Dr. Weber have experience with leading-edge research and practical issues involved in implementing large-scale parallel systems. They were key contributors to the architecture and design of the DASH multiprocessor. Currently, they are involved with commercializing scalable shared-memory technology.

  • Pattern Recognition in Practice IV: Multiple Paradigms, Comparative Studies and Hybrid Systems

    • 1st Edition
    • Volume 16
    • E.S. Gelsema + 1 more
    • English
    The era of detailed comparisons of the merits of techniques of pattern recognition and artificial intelligence and of the integration of such techniques into flexible and powerful systems has begun.So confirm the editors of this fourth volume of Pattern Recognition in Practice, in their preface to the book.The 42 quality papers are sourced from a broad range of international specialists involved in developing pattern recognition methodologies and those using pattern recognition techniques in their professional work. The publication is divided into six sections: Pattern Recognition, Signal and Image Processing, Probabilistic Reasoning, Neural Networks, Comparative Studies, and Hybrid Systems, giving prospective users a feeling for the applicability of the various methods in their particular field of specialization.

  • Knowledge Representation

    An Approach to Artificial Intelligence
    • 1st Edition
    • T.J.M. Bench-Capon
    • English
    Although many texts exist offering an introduction to artificial intelligence (AI), this book is unique in that it places an emphasis on knowledge representation (KR) concepts. It includes small-scale implementations in PROLOG to illustrate the major KR paradigms and their developments.****bac... cover copy:**Knowledge representation is at the heart of the artificial intelligence enterprise: anyone writing a program which seeks to work by encoding and manipulating knowledge needs to pay attention to the scheme whereby he will represent the knowledge, and to be aware of the consequences of the choices made.****The book's distinctive approach introduces the topic of AI through a study of knowledge representation issues. It assumes a basic knowledge of computing and a familiarity with the principles of elementary formal logic would be advantageous.****Kno... Representation: An Approach to Artificial Intelligence develops from an introductory consideration of AI, knowledge representation and logic, through search technique to the three central knowledge paradigms: production rules, structured objects, and predicate calculus. The final section of the book illustrates the application of these knowledge representation paradigms through the Prolog Programming language and with an examination of diverse expert systems applications. The book concludes with a look at some advanced issues in knowledge representation.****T... text provides an introduction to AI through a study of knowledge representation and each chapter contains exercises for students. Experienced computer scientists and students alike, seeking an introduction to AI and knowledge representations will find this an invaluable text.

  • Principles of Artificial Intelligence

    • 1st Edition
    • Nils J. Nilsson
    • English
    A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used.Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.

  • Machine Learning Proceedings 1994

    Proceedings of the Eighth International Conference
    • 1st Edition
    • William W. Cohen
    • English
    Machine Learning: Proceedings of the Eleventh International Conference covers the papers presented at the Eleventh International Conference on Machine Learning (ML94), held at New Brunswick, New Jersey on July 10-13, 1994. The book focuses on the processes, methodologies, and approaches involved in machine learning, including inductive logic programming, neural networks, and decision trees. The selection first offers information on learning recursive relations with randomly selected small training sets; improving accuracy of incorrect domain theories; and using sampling and queries to extract rules from trained neural networks. The text then takes a look at boosting and other machine learning algorithms; an incremental learning approach for completable planning; and learning disjunctive concepts by means of genetic algorithms. The publication ponders on rule induction for semantic query optimization; irrelevant features and the subset selection problem; and an efficient subsumption algorithm for inductive logic programming. The book also examines Bayesian inductive logic programming; a statistical approach to decision tree modeling; and an improved algorithm for incremental induction of decision trees. The selection is a dependable source of data for researchers interested in machine learning.

  • Machine Learning Proceedings 1991

    Proceedings of the Eighth International Workshop (ML91)
    • 1st Edition
    • Lawrence A. Birnbaum + 1 more
    • English
    Machine Learning: Proceedings of the Eighth International Workshop (ML91) covers the papers presented at ML91, the Eighth International Workshop on Machine Learning, held at Northwestern University, Evanston, Illinois, USA, in June 1991. The book focuses on constructive induction, learning from theory and data, automated knowledge acquisition, learning in intelligent information retrieval, machine learning in engineering automation, computational models of human learning, and learning reaction strategies. The selection first offers information on design rationale capture as knowledge acquisition, a domain-independent framework for effective experimentation in planning, and knowledge refinement using a high-level, non-technical vocabulary. The text then elaborates on improving the performance of inconsistent knowledge bases via combined optimization method, flexibility of speculative refinement, and a prototype based symbolic concept learning system. Topics include using task descriptions to generate error candidates, functional descriptions of knowledge-based systems, combined optimization method, and inconsistency and related work. The book ponders on learning words from context, modeling the acquisition and improvement of motor skills, a computational model of acquisition for children's addition strategies, and computer modeling of acquisition orders in child language. The manuscript also takes a look at knowledge acquisition combining analytical and empirical techniques; designing integrated learning systems for engineering design; and machine learning for nondestructive evaluation. The selection is highly recommended for researchers interested in machine learning.

  • Campus Strategies for Libraries and Electronic Information

    • 1st Edition
    • Caroline Arms
    • English
    A look at how ten American colleges and Universities bridged the gap between computing, administrative, and library organisationsDetaile... case studies from ten American colleges and universities will prepare you to make better plans and decisions for an electronic library, integrated information management system, or unified information resource. You'll find models and guidelines covering reference services, latest philosophies and strategies, management and organization issues, delivery mechanisms, and more.

  • Practical Knowledge Engineering

    • 1st Edition
    • Richard Kelly
    • English
    This book provides knowledge engineers with practical methods for initiating, designing, building, managing, and demonstrating successful commercial expert systems. It is a record of what actually works (and does not work) in the construction of expert systems, drawn from the author's decade of experience in building expert systems in all major areas of application for American, European, and Japanese organizations.The book features:* knowledge engineering programming techniques* useful skills for demonstrating expert systems * practical costing and metrics* guidelines for using knowledge representation techniques* solutions to common difficulties in design and implementation

  • Operational Expert System Applications in Canada

    • 1st Edition
    • Ching Y. Suen + 1 more
    • English
    This book is part of a new series on operational expert systems worldwide. Expert systems are now widely used in different parts of the world for various applications. The past four years have witnessed a steady growth in the development and deployment of expert systems in Canada. Research in this field has also gained considerable momentum during the past few years. However, the field of expert systems is still young in Canada. This book contains 13 chapters contributed by 31 experts from both universities and industries across Canada covering a wide range of applications related to electric power and circuit boards, health and medicine, the legal field, transportation and decision making.

  • Artificial Neural Networks

    • 1st Edition
    • K. Mäkisara + 3 more
    • English
    This two-volume proceedings compiles a selection of research papers presented at the ICANN-91. The scope of the volumes is interdisciplinary, ranging from mathematics and engineering to cognitive sciences and biology. European research is well represented. Volume 1 contains all the orally presented papers, including both invited talks and submitted papers. Volume 2 contains the plenary talks and the poster presentations.

  • Safety of Computer Control Systems 1990 (SAFECOMP'90)

    Proceedings of the IFAC/EWICS/SARS Symposium Gatwick, UK, 30 October - 2 November 1990
    • 1st Edition
    • B.K. Daniels
    • English
    The market for safe, secure and reliable computer systems is expanding continuously and these Proceedings provide an opportunity to review the growth during the last decade and identify skills and technologies required for continued development in the area. The papers cover the experiences gained from specifying, creating, operating, and licensing computers in safety, security and reliability related applications. There are reviews of guidelines and industrial applications, with a section covering methods and tools used in designing, documenting, analysing, testing and assessing systems dependent on the SAFECOMP factors.

  • Real Time Programming 1985

    Proceedings of the 13th IFAC/IFIP Workshop, Purdue University, West Lafayette, Indiana, USA, 7-8 October 1985
    • 1st Edition
    • G.M. Bull + 1 more
    • English
    Examines the entire field of real-time programming, with emphasis on the most recent developments in industrial control and the design of process control systems. The topics covered include programming of statistical quality control applications, graphical languages for real-time programming, programming of personal computers and work stations for real-time applications. Contains 17 papers.

  • Data Acquisition Techniques Using PC

    • 1st Edition
    • Howard Austerlitz
    • English
    Data Acquisition Techniques Using Personal Computers contains all the information required by a technical professional (engineer, scientist, technician) to implement a PC-based acquisition system. Including both basic tutorial information as well as some advanced topics, this work is suitable as a reference book for engineers or as a supplemental text for engineering students. It gives the reader enough understanding of the topics to implement a data acquisition system based on commercial products. A reader can alternatively learn how to custom build hardware or write his or her own software. Featuring diverse information, this book will be useful to both the technical professional and the hobbyist.

  • Pattern Recognition and Artificial Intelligence, Towards an Integration

    Proceedings of an International Workshop held in Amsterdam, May 18-20, 1988
    • 1st Edition
    • Volume 7
    • L.N. Kanal + 1 more
    • English
    This volume brings together the results of research into the methodology and applications of pattern recognition, with particular emphasis given to the incorporation of artificial intelligence methodologies into pattern recognition systems.The first part of this volume covers image analysis and processing software, systems and algorithms. Pattern analysis and classifier design are dealt with in part two, while the last part deals with model based and expert systems, including uncertainty calculus methods in pattern analysis and object recognition. A number of specific application areas are considered, including such diverse topics as fingerprinting, astronomy, molecular biology and pathology.

  • Reasoning About Plans

    • 1st Edition
    • James Allen + 3 more
    • English
    This book presents four contributions to planning research within an integrated framework. James Allen offers a survey of his research in the field of temporal reasoning, and then describes a planning system formalized and implemented directly as an inference process in the temporal logic. Starting from the same logic, Henry Kautz develops the first formal specification of the plan recognition process and develops a powerful family of algorithms for plan recognition in complex situations. Richard Pelavin then extends the temporal logic with model operators that allow the representation to support reasoning about complex planning situations involving simultaneous interacting actions, and interaction with external events. Finally, Josh Tenenberg introduces two different formalisms of abstraction in planning systems and explores the properties of these abstraction techniques in depth.

  • Computers and Languages

    Theory and Practice
    • 1st Edition
    • Volume 4
    • A. Nijholt
    • English
    A global introduction to language technology and the areas of computer science where language technology plays a role. Surveyed in this volume are issues related to the parsing problem in the fields of natural languages, programming languages, and formal languages.Throughout the book attention is paid to the social forces which influenced the development of the various topics. Also illustrated are the development of the theory of language analysis, its role in compiler construction, and its role in computer applications with a natural language interface between men and machine. Parts of the material in this book have been used in courses on computational linguistics, computers and society, and formal approaches to languages.

  • Natural and Artificial Intelligence

    Misconceptions about Brains and Neural Networks
    • 1st Edition
    • A. de Callataÿ
    • English
    How does the mind work? How is data stored in the brain? How does the mental world connect with the physical world? The hybrid system developed in this book shows a radically new view on the brain. Briefly, in this model memory remains permanent by changing the homeostasis rebuilding the neuronal organelles. These transformations are approximately abstracted as all-or-none operations. Thus the computer-like neural systems become plausible biological models. This illustrated book shows how artificial animals with such brains learn invariant methods of behavior control from their repeated actions. These robots can make decisions in any circumstances and reason by analogy whenever possible.This new and expanded edition includes a prologue exploring the problems which have stopped the development of fully fledged brain models. The causes of these deadlocks are listed as potential misconceptions about brain principles, neural networks, nervous systems, robotics, programming and decision logic.

  • Advanced Neural Computers

    • 1st Edition
    • R. Eckmiller
    • English
    This book is the outcome of the International Symposium on Neural Networks for Sensory and Motor Systems (NSMS) held in March 1990 in the FRG. The NSMS symposium assembled 45 invited experts from Europe, America and Japan representing the fields of Neuroinformatics, Computer Science, Computational Neuroscience, and Neuroscience.As a rapidly-published report on the state of the art in Neural Computing it forms a reference book for future research in this highly interdisciplinary field and should prove useful in the endeavor to transfer concepts of brain function and structure to novel neural computers with adaptive, dynamical neural net topologies.A feature of the book is the completeness of the references provided. An alphabetical list of all references quoted in the papers is given, as well as a separate list of general references to help newcomers to the field. A subject index and author index also facilitate access to various details.

  • Artificial Neural Networks, 2

    Proceedings of the 1992 International Conference on Artificial Neural Networks (ICANN-92) Brighton, United Kingdom, 4-7 September, 1992
    • 1st Edition
    • I. Aleksander + 1 more
    • English
    This two-volume proceedings compilation is a selection of research papers presented at the ICANN-92. The scope of the volumes is interdisciplinary, ranging from the minutiae of VLSI hardware, to new discoveries in neurobiology, through to the workings of the human mind. USA and European research is well represented, including not only new thoughts from old masters but also a large number of first-time authors who are ensuring the continued development of the field.

  • Scientific Computing

    An Introduction with Parallel Computing
    • 1st Edition
    • 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.

  • Handbook of Human-Computer Interaction

    • 1st Edition
    • M.G. Helander
    • English
    This Handbook is concerned with principles of human factors engineering for design of the human-computer interface. It has both academic and practical purposes; it summarizes the research and provides recommendations for how the information can be used by designers of computer systems. The articles are written primarily for the professional from another discipline who is seeking an understanding of human-computer interaction, and secondarily as a reference book for the professional in the area, and should particularly serve the following: computer scientists, human factors engineers, designers and design engineers, cognitive scientists and experimental psychologists, systems engineers, managers and executives working with systems development.The work consists of 52 chapters by 73 authors and is organized into seven sections. In the first section, the cognitive and information-processi... aspects of HCI are summarized. The following group of papers deals with design principles for software and hardware. The third section is devoted to differences in performance between different users, and computer-aided training and principles for design of effective manuals. The next part presents important applications: text editors and systems for information retrieval, as well as issues in computer-aided engineering, drawing and design, and robotics. The fifth section introduces methods for designing the user interface. The following section examines those issues in the AI field that are currently of greatest interest to designers and human factors specialists, including such problems as natural language interface and methods for knowledge acquisition. The last section includes social aspects in computer usage, the impact on work organizations and work at home.

  • Artificial Neural Networks and Statistical Pattern Recognition

    Old and New Connections
    • 1st Edition
    • Volume 11
    • I.K. Sethi + 1 more
    • English
    With the growing complexity of pattern recognition related problems being solved using Artificial Neural Networks, many ANN researchers are grappling with design issues such as the size of the network, the number of training patterns, and performance assessment and bounds. These researchers are continually rediscovering that many learning procedures lack the scaling property; the procedures simply fail, or yield unsatisfactory results when applied to problems of bigger size. Phenomena like these are very familiar to researchers in statistical pattern recognition (SPR), where the curse of dimensionality is a well-known dilemma. Issues related to the training and test sample sizes, feature space dimensionality, and the discriminatory power of different classifier types have all been extensively studied in the SPR literature. It appears however that many ANN researchers looking at pattern recognition problems are not aware of the ties between their field and SPR, and are therefore unable to successfully exploit work that has already been done in SPR. Similarly, many pattern recognition and computer vision researchers do not realize the potential of the ANN approach to solve problems such as feature extraction, segmentation, and object recognition. The present volume is designed as a contribution to the greater interaction between the ANN and SPR research communities.

  • Concurrency Control in Distributed Database Systems

    • 1st Edition
    • Volume 3
    • W. Cellary + 2 more
    • English
    Distributed Database Systems (DDBS) may be defined as integrated database systems composed of autonomous local databases, geographically distributed and interconnected by a computer network.The purpose of this monograph is to present DDBS concurrency control algorithms and their related performance issues. The most recent results have been taken into consideration. A detailed analysis and selection of these results has been made so as to include those which will promote applications and progress in the field. The application of the methods and algorithms presented is not limited to DDBSs but also relates to centralized database systems and to database machines which can often be considered as particular examples of DDBSs.The first part of the book is devoted to basic definitions and models: the distributed database model, the transaction model and the syntactic and semantic concurrency control models. The second discusses concurrency control methods in monoversion DDBSs: the locking method, the timestamp ordering method, the validation method and hybrid methods. For each method the concept, the basic algorithms, a hierarchical version of the basic algorithms, and methods for avoiding performance failures are given. The third section covers concurrency control methods in multiversion DDBSs and the fourth, methods for the semantic concurrency model. The last part concerns performance issues of DDBSs.The book is intended primarily for DDBMS designers, but is also of use to those who are engaged in the design and management of databases in general, as well as in problems of distributed system management such as distributed operating systems and computer networks.

  • Digital Picture Processing

    • 2nd Edition
    • Volume 2
    • Azriel Rosenfeld
    • English
    Computer Science and Applied Mathematics: Digital Picture Processing, Second Edition, Volume 2 focuses on picture or image processing, which is concerned with the manipulation and analysis of pictures by computer. This book emphasizes the three major subareas in picture processing—digitizat... and compression; enhancement, restoration, and reconstruction; and matching, description, and recognition. This volume is organized into four chapters. Chapter 9 discusses registration and matching, while Chapter 10 considers segmentation into parts. The representation of parts and geometric property measurement is elaborated in Chapter 11. The last chapter is devoted to the non-geometric properties, picture descriptions, and models for classes of pictures. This publication is suitable for specialists and professionals working in the field of digital picture processing.

  • Parallel Processing for Artificial Intelligence 2

    • 1st Edition
    • Volume 15
    • V. Kumar + 2 more
    • English
    With the increasing availability of parallel machines and the raising of interest in large scale and real world applications, research on parallel processing for Artificial Intelligence (AI) is gaining greater importance in the computer science environment. Many applications have been implemented and delivered but the field is still considered to be in its infancy.This book assembles diverse aspects of research in the area, providing an overview of the current state of technology. It also aims to promote further growth across the discipline. Contributions have been grouped according to their subject: architectures (3 papers), languages (4 papers), general algorithms (6 papers), and applications (5 papers). The internationally sourced papers range from purely theoretical work, simulation studies, algorithm and architecture proposals, to implemented systems and their experimental evaluation.Since the book is a second volume in the parallel processing for AI series, it provides a continued documentation of the research and advances made in the field. The editors hope that it will inspire readers to investigate the possiblities for enhancing AI systems by parallel processing and to make new discoveries of their own!

  • Parallel Algorithms for Numerical Linear Algebra

    • 1st Edition
    • Volume 1
    • H. van der Vorst + 1 more
    • English
    This is the first in a new series of books presenting research results and developments concerning the theory and applications of parallel computers, including vector, pipeline, array, fifth/future generation computers, and neural computers.All aspects of high-speed computing fall within the scope of the series, e.g. algorithm design, applications, software engineering, networking, taxonomy, models and architectural trends, performance, peripheral devices.Papers in Volume One cover the main streams of parallel linear algebra: systolic array algorithms, message-passing systems, algorithms for parallel shared-memory systems, and the design of fast algorithms and implementations for vector supercomputers.

  • The Digital Guide To Software Development

    • 1st Edition
    • Christine Dickinson
    • English
    Here is the first published description of the processes and practices, tools, and methods this industry giant uses to develop its software products. This 'shirt-sleeves' guide is packed with diagrams and tables that illustrate each step in the complexsoftware development process. You'll learn all about Digital's standard 'phase review process,' the role of teams and their leaders, how CASE tools work, and how to control a project while improving productivity and product quality.

  • Languages, Compilers and Run-time Environments for Distributed Memory Machines

    • 1st Edition
    • Volume 3
    • J. Saltz + 1 more
    • English
    Papers presented within this volume cover a wide range of topics related to programming distributed memory machines. Distributed memory architectures, although having the potential to supply the very high levels of performance required to support future computing needs, present awkward programming problems. The major issue is to design methods which enable compilers to generate efficient distributed memory programs from relatively machine independent program specifications. This book is the compilation of papers describing a wide range of research efforts aimed at easing the task of programming distributed memory machines.

  • Uncertainty in Artificial Intelligence 2

    • 1st Edition
    • Volume 5
    • L.N. Kanal + 1 more
    • English
    This second volume is arranged in four sections: Analysis contains papers which compare the attributes of various approaches to uncertainty. Tools provides sufficient information for the reader to implement uncertainty calculations. Papers in the Theory section explain various approaches to uncertainty. The Applications section describes the difficulties involved in, and the results produced by, incorporating uncertainty into actual systems.

  • Readings in Artificial Intelligence and Databases

    • 1st Edition
    • John Mylopoulos + 1 more
    • English
    The interaction of database and AI technologies is crucial to such applications as data mining, active databases, and knowledge-based expert systems. This volume collects the primary readings on the interactions, actual and potential, between these two fields. The editors have chosen articles to balance significant early research and the best and most comprehensive articles from the 1980s. An in-depth introduction discusses basic research motivations, giving a survey of the history, concepts, and terminology of the interaction. Major themes, approaches and results, open issues and future directions are all discussed, including the results of a major survey conducted by the editors of current work in industry and research labs. Thirteen sections follow, each with a short introduction.Topics examined include semantic data models with emphasis on conceptual modeling techniques for databases and information systems and the integration of data model concepts in high-level data languages, definition and maintenance of integrity constraints in databases and knowledge bases, natural language front ends, object-oriented database management systems, implementation issues such as concurrency control and error recovery, and representation of time and knowledge incompleteness from the viewpoints of databases, logic programming, and AI.

  • A Discipline of Software Engineering

    • 1st Edition
    • B. Walraet
    • English
    This comprehensive approach to the creation of software systems charts a road through system modelling techniques, allowing software engineers to create software meeting two very basic requirements:• that the software system represent a narrow emulation of the organization system that served as its model; • and that the software system display life attributes identical to those of the organization system that it automatizes.The result is a quantum leap increase in software application quality. Such benefit is achieved by the introduction of a fundamental paradigm: the office-floor metaphor which incorporates such well-balanced basic ideas as the functional normalization of tasks and information (in sharp contrast to the classic data normalization) and the principle of tenant-ownership.

  • Dynamic Modelling of Information Systems

    • 1st Edition
    • K.M. van Hee + 1 more
    • English
    The use of dynamic models in the development of information systems is regarded by many researchers as a promising issue in design support. Modelling the dynamics of information systems is likely to improve the quality and the performance of the design products. Dynamic modelling as a new approach for dynamic analysis of problems within an existing situation, and design and evaluation of different solution strategies may overcome many difficulties in the design process.

  • Programming, The Impossible Challenge

    • 1st Edition
    • B. Walraet
    • English
    In its modern form, the computer is only about 40 years old. And so is the job of the computer programmer. This book is a critical history of programming, written to give programmers and analysts in the commercial application field a more pragmatic insight into the background of their profession. It tells the story of why the technology evolved as it did, and how Fifth Generation techniques are already changing the situation.As well as charting the real advances and the passing fashions, this unusual book looks at the situation in perspective, drawing some sad and maybe surprising conclusions while discussing questions such as ``Is programming a job for human beings?'' ``Is it High Noon for the world of programming?''

  • Microprocessor Architectures

    RISC, CISC and DSP
    • 2nd Edition
    • Steve Heath
    • English
    'Why are there all these different processor architectures and what do they all mean? Which processor will I use? How should I choose it?' Given the task of selecting an architecture or design approach, both engineers and managers require a knowledge of the whole system and an explanation of the design tradeoffs and their effects. This is information that rarely appears in data sheets or user manuals. This book fills that knowledge gap.Section 1 provides a primer and history of the three basic microprocessor architectures. Section 2 describes the ways in which the architectures react with the system. Section 3 looks at some more commercial aspects such as semiconductor technology, the design cycle, and selection criteria. The appendices provide benchmarking data and binary compatibility standards. Since the first edition of this book was published, much has happened within the industry. The Power PC architecture has appeared and RISC has become a more significant challenger to CISC. The book now includes new material on Power PC, and a complete chapter devoted to understanding the RISC challenge. The examples used in the text have been based on Motorola microprocessor families, but the system considerations are also applicable to other processors. For this reason comparisons to other designs have been included, and an overview of other processors including the Intel 80x86 and Pentium, DEC Alpha, SUN Sparc, and MIPS range has been given. Steve Heath has been involved in the design and development of microprocessor based systems since 1982. These designs have included VMEbus systems, microcontrollers, IBM PCs, Apple Macintoshes, and both CISC and RISC based multiprocessor systems, while using operating systems as varied as MS-DOS, UNIX, Macintosh OS and real time kernels. An avid user of computer systems, he has written numerous articles and papers for the electronics press, as well as books from Butterworth-Heineman... including VMEbus: A Practical Companion; PowerPC: A Practical Companion; MAC User's Pocket Book; UNIX Pocket Book; Upgrading Your PC Pocket Book; Upgrading Your MAC Pocket Book; and Effective PC Networking.

  • Neural Network PC Tools

    A Practical Guide
    • 1st Edition
    • Russell C. Eberhart
    • English
    This is the first practical guide that enables you to actually work with artificial neural networks on your personal computer. It provides basic information on neural networks, as well as the following special features:

  • Mastering C Pointers

    Tools for Programming Power
    • 2nd Edition
    • Robert J. Traister
    • English
    If you don't fully understand C pointers and how they are used, you're not getting the most out of C programming. This book features complete coverage on using and controlling C language pointers to make C applications more powerful and expressive. This new edition is completely updated and revised to reflect the changes that have been brought about with the full adoption of ANSI C. All discussions and program examples have been updated, and reading materials necessary for any modern ANSI C programmer have also been added.Includes one 3 1/2" disk containing all of the working programs and modules found in the book.System Requirements: 286 or higher IBM PC or compatible.

  • Parallel Processing from Applications to Systems

    • 1st Edition
    • Dan I. Moldovan
    • English
    This text provides one of the broadest presentations of parallelprocessing available, including the structure of parallelprocessors and parallel algorithms. The emphasis is on mappingalgorithms to highly parallel computers, with extensive coverage ofarray and multiprocessor architectures. Early chapters provideinsightful coverage on the analysis of parallel algorithms andprogram transformations, effectively integrating a variety ofmaterial previously scattered throughout the literature. Theory andpractice are well balanced across diverse topics in this concisepresentation. For exceptional clarity and comprehension, the authorpresents complex material in geometric graphs as well as algebraicnotation. Each chapter includes well-chosen examples, tablessummarizing related key concepts and definitions, and a broad rangeof worked exercises.

  • Performance of Distributed Systems and Integrated Communication Networks

    Proceedings of the IFIP WG 7.3 International Conference on the Performance of Distributed Systems and Integrated Communication Networks, Kyoto, Japan, 10-12 September, 1991
    • 1st Edition
    • Volume 5
    • T. Hasegawa + 2 more
    • English
    This book explores new analytical techniques and tools for the performance evaluation of distributed and integrated computer communication systems. The systems considered are those arising in LAN, MAN, WAN broadband ISDN, and ATM switching. These systems are mathematically modelled and analysed. Analytical results are presented on the basic queueing models such as multi-queue, priority queue, queueing network, queue with bursty input and superposed input, and multi-server queue. These results can be usefully applied for the performance evaluation of all the above systems.

  • The Small Business Computer Guide

    • 1st Edition
    • Joseph Beckman
    • English
    Anyone who needs information about computer systems for small or home businesses will find The Small Business Computer Guide to be an invaluable, thorough review of all aspects of computer systems and technology suited to small businesses.In clear, easy-to-understand language, The Small Business Computer Guide explains hardware components, software, and telecommunications, with an emphasis on productivity, efficiency, and how systems and components can be configured to best serve anindividual business' needs. Consideration is given to budgetary restraints, and Joseph S Beckman offers numerous tips and suggestions on how to put together the right system. Joseph S Beckman is a lawyer in private practice and has spent many yearsusing coputers in his legal work. He lives in Plantation, Florida.

  • Artificial Intelligence V

    Methodology, Systems, Applications
    • 1st Edition
    • B. du Boulay + 1 more
    • English
    Recent results and ongoing research in Artificial Intelligence are described in this book, with emphasis on fundamental questions in several key areas: machine learning, neural networks, automated reasoning, natural language processing, and logic methods in AI. There are also more applied papers in the fields of vision, architectures for KBS, expert systems and intelligent tutoring systems. One of the changes since AIMSA'90 has been the increased numbers of papers submitted in the fields of machine learning, neural networks and hybrid systems.One of the special features of the AIMSA series of conferences is their coverage of work across both Eastern and Western Europe and the former Soviet Union as well as papers from North America. AIMSA'92 is no exception and this volume provides a unique multi-cultural view of AI.

  • Parallel Processing for Artificial Intelligence 1

    • 1st Edition
    • Volume 14
    • L.N. Kanal + 3 more
    • English
    Parallel processing for AI problems is of great current interest because of its potential for alleviating the computational demands of AI procedures. The articles in this book consider parallel processing for problems in several areas of artificial intelligence: image processing, knowledge representation in semantic networks, production rules, mechanization of logic, constraint satisfaction, parsing of natural language, data filtering and data mining. The publication is divided into six sections. The first addresses parallel computing for processing and understanding images. The second discusses parallel processing for semantic networks, which are widely used means for representing knowledge - methods which enable efficient and flexible processing of semantic networks are expected to have high utility for building large-scale knowledge-based systems. The third section explores the automatic parallel execution of production systems, which are used extensively in building rule-based expert systems - systems containing large numbers of rules are slow to execute and can significantly benefit from automatic parallel execution. The exploitation of parallelism for the mechanization of logic is dealt with in the fourth section. While sequential control aspects pose problems for the parallelization of production systems, logic has a purely declarative interpretation which does not demand a particular evaluation strategy. In this area, therefore, very large search spaces provide significant potential for parallelism. In particular, this is true for automated theorem proving. The fifth section considers the problem of constraint satisfaction, which is a useful abstraction of a number of important problems in AI and other fields of computer science. It also discusses the technique of consistent labeling as a preprocessing step in the constraint satisfaction problem. Section VI consists of two articles, each on a different, important topic. The first discusses parallel formulation for the Tree Adjoining Grammar (TAG), which is a powerful formalism for describing natural languages. The second examines the suitability of a parallel programming paradigm called Linda, for solving problems in artificial intelligence.Each of the areas discussed in the book holds many open problems, but it is believed that parallel processing will form a key ingredient in achieving at least partial solutions. It is hoped that the contributions, sourced from experts around the world, will inspire readers to take on these challenging areas of inquiry.

  • Neural Networks

    Advances and Applications, 2
    • 1st Edition
    • E. Gelenbe
    • English
    The present volume is a natural follow-up to Neural Networks: Advances and Applications which appeared one year previously. As the title indicates, it combines the presentation of recent methodological results concerning computational models and results inspired by neural networks, and of well-documented applications which illustrate the use of such models in the solution of difficult problems. The volume is balanced with respect to these two orientations: it contains six papers concerning methodological developments and five papers concerning applications and examples illustrating the theoretical developments. Each paper is largely self-contained and includes a complete bibliography.The methodological part of the book contains two papers on learning, one paper which presents a computational model of intracortical inhibitory effects, a paper presenting a new development of the random neural network, and two papers on associative memory models. The applications and examples portion contains papers on image compression, associative recall of simple typed images, learning applied to typed images, stereo disparity detection, and combinatorial optimisation.

  • Topics in Expert System Design

    Methodologies and Tools
    • 1st Edition
    • Volume 5
    • C. Tasso + 1 more
    • English
    Expert Systems are so far the most promising achievement of artificial intelligence research. Decision making, planning, design, control, supervision and diagnosis are areas where they are showing great potential. However, the establishment of expert system technology and its actual industrial impact are still limited by the lack of a sound, general and reliable design and construction methodology.This book has a dual purpose: to offer concrete guidelines and tools to the designers of expert systems, and to promote basic and applied research on methodologies and tools. It is a coordinated collection of papers from researchers in the USA and Europe, examining important and emerging topics, methodological advances and practical experience obtained in specific applications. Each paper includes a survey introduction, and a comprehensive bibliography is provided.

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