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Full-Text Articles in Physical Sciences and Mathematics

Resqme And Stand-Alone Simulation On A Workstation, Robert F. Gordon Ph.D., Paul G. Loewner, G J. Burkland, J-C Chen, Edward A. Macnair Aug 1990

Resqme And Stand-Alone Simulation On A Workstation, Robert F. Gordon Ph.D., Paul G. Loewner, G J. Burkland, J-C Chen, Edward A. Macnair

Faculty Works: MCS (1984-2023)

RC 16037 (#71232)

The Research Queueing Package Modeling Environment (RESQME) provides a graphical environment for constructing and solving extended queueing network models ofmanufacturing systems, for plotting graphs of results and for viewdng animations of models. The modeling environment can be run entirely on a workstation or optionally can execute large simulations on a host system using cooperative processing. In this paper we give a brief introduction to RESQME and to the RESQ modeling elements. We demonstrate how to use the package by constructing a simple model of part of a manufacturing line and solve this model to produce charts of …


Management Information Sources And Corporate Intelligence Systems, Robert F. Gordon Ph.D. Jan 1990

Management Information Sources And Corporate Intelligence Systems, Robert F. Gordon Ph.D.

Faculty Works: MCS (1984-2023)

In this book the word “intelligence” is used in several different contexts. Intelligence can refer to the process of gathering data; it can refer to the data itself; and it can refer to the application of knowledge to product useful information from the data. We will see in this chapter how the computer can be used in business to further all three aspects of intelligence: capturing the data, storing the data in an accessible form, and adding value to the data by transforming it into useful information for decision making. This chapter is organized according to these three areas of …


Digital Image Processing Using Mathematical Morphology, Andrew Mehnert Jan 1990

Digital Image Processing Using Mathematical Morphology, Andrew Mehnert

Theses : Honours

This dissertation is a natural extension of my undergraduate research project entitled, "Digital Image Processing”. Whilst my undergraduate project dealt with a number of classical digital image filtering techniques such as spatial convolution and frequency domain filtering via the Fourier transform, this dissertation focuses on an alternative approach employing Mathematical Morphology. In contrast to classical filtering techniques, which often geometrically distort the original image, morphological operations, used sensibly, essentially preserve shape and geometry. Mathematical morphology therefore lends itself to image processing applications requiring the identification of objects and object features within an image. Herein basic morphological operations are developed, firstly …