Semiotics is the science of signs: graphical, such as pictures; verbal (writing or sounds); or others such as body gestures and clothes. Computer semiotics studies the special nature of computer-based signs and how they function in use. This 1991 book is based on ten years of empirical research on computer usage in work situations and contains material from a course taught by the author. It introduces basic traditional semiotic concepts and adapts them so that they become useful for analysing and designing computer systems in their symbolic context of work. It presents a novel approach to the subject, rich in examples, in that it is both theoretically systematic and practical. The author refers to and reinterprets techniques already used so that readers can deepen their understanding. In addition, it offers new techniques and a consistent perspective on computer systems that is particularly appropriate for new hardware and software (e.g. hypermedia) whose main functions are presentation and communication. This is a highly important work whose influence will be wide and longlasting.
Computer graphics, computer-aided design, and computer-aided manufacturing are tools that have become indispensable to a wide array of activities in contemporary society. Euclidean processing provides the basis for these computer-aided design systems although it contains elements that inevitably lead to an inaccurate, non-robust, and complex system. The primary cause of the deficiencies of Euclidean processing is the division operation, which becomes necessary if an n-space problem is to be processed in n-space. The difficulties that accompany the division operation may be avoided if processing is conducted entirely in (n+1)-space. The paradigm attained through the logical extension of this approach, totally four-dimensional processing, is the subject of this book. This book offers a new system of geometric processing techniques that attain accurate, robust, and compact computations, and allow the construction of a systematically structured CAD system.
"Computer Science Applications: Object Oriented Programming "is a comprehensive anthology of reference articles for first and second semester Computer Science courses. These articles, drawn from a wide variety of sources and experiences, include detailed discussions, explanations and examples that deliver an engaging learning experience for students. Using high-level concepts, rather than simply focusing on the syntax of Java, this text delivers a complete and in-depth coverage of all the essential topics typically found in the CS1 and CS2 syllabi."Computer Science Applications" is divided into seven sections, each prefaced by an overview of the topic:
Joslyn A. Smith graduated from The Mico Teachers' College, Jamaica, in 1973. He furthered his studies at Central Connecticut State University, USA, where he earned his BS and MS degrees in Mathematics in 1983. He also earned an MS degree in Computer Science from the University of New Brunswick, Canada in 1994. Mr. Smith then joined the staff at the University of the West Indies, Jamaica where he lectured in Computer Science for 14 years. He currently teaches Computer Science at Florida International University (FIU).
In the 1930s, Puerto Rico was economically and culturally a nineteenth-century agrarian state dominated by sugar and coffee plantations. Then came the New Deal, and the island changed forever. Puerto Rico entered the twentieth century in every respect, including its economy, culture, and infrastructure. This transformation was neither easy nor without resistance. The author leads the reader through this upheaval with all its ups and downs.
The transfer function approach is widely used in classical control theory for its easy handling and physical meaning. Although the use of transfer functions is well-established for linear time-invariant systems, it is not suitable for non-stationary systems among which are sampled-data systems and processes with periodically varying coefficients. Computer-controlled continuous-time processes are a very important subset of periodic sampled-data systems which are not treatable using ordinary transfer functions.
Having established the ability of the parametric transfer function to solve this problem for single-input, single-output systems in previous work, the authors extend these methods, which incorporate time-dependence, to the idea of the parametric transfer matrix in a complete exposition of analysis and design methods for multiple-input, multiple-output (MIMO) sampled-data systems.
Multivariable Computer-controlled Systems is divided into three parts:
Appendices covering basic mathematical formulae and the description of two MATLAB(r) toolboxes round out this self-contained guide to multivariable control systems.
Of special interest to researchers in automatic control and to development engineers working with advanced control technology, Multivariable Computer-controlled Systems will also interest mathematical control theorists and graduate students studying advanced methods of computer-based control.
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