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University of Central Florida

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Articles 271 - 279 of 279

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

An Introduction To The Winograd Discrete Fourier Transform, Janice S. Agnello Apr 1979

An Introduction To The Winograd Discrete Fourier Transform, Janice S. Agnello

Retrospective Theses and Dissertations

This paper illustrates Winograd's approach to computing the Discrete Fourier Transform (DFT). This new approach changes the DFT into a cyclic convolution of 2 sequences, and illustrates shortcuts for computing this cyclic convolution. This method is known to reduce the number of multiplies required to about 20% less than the number of multiplies used by the techniques of the Fast Fourier Transform. Three approaches are discussed, one for prime numbers, one for products of primes, and lastly one for powers of odd primes. For powers of 2 Winograd's algorithm is, in general, inefficient and best if it is not used. …


Application Of Fire Protection Models In Urban Planning, Ronald George Thomas Jan 1977

Application Of Fire Protection Models In Urban Planning, Ronald George Thomas

Retrospective Theses and Dissertations

No abstract provided.


Survey Of Techniques Used By Small Manufacturing Businesses To Implement Production Control, William De Hoog Jan 1977

Survey Of Techniques Used By Small Manufacturing Businesses To Implement Production Control, William De Hoog

Retrospective Theses and Dissertations

No abstract provided.


Methods And Techniques Used For Job Shop Scheduling, Yoo Baik Yang Jan 1977

Methods And Techniques Used For Job Shop Scheduling, Yoo Baik Yang

Retrospective Theses and Dissertations

The job shop scheduling problem, in which we must determine the order or sequence for processing a set of jobs through several machines in an optimum manner, has received considerable attention. In this paper a number of the methods and techniques are reviewed and an attempt to categorize them according to their appropriateness for effective use in job shop scheduling has been made. Approaches are classified in two categories: a) analytical techniques and b) graphical methods. Also, it should be noticed that this report does not include all the attempts and trials, especially the heuristic approaches.


An Interactive Information System For Tracking Student Academic Progress And For Projecting Quarterly Course Enrollments, Marilyn Sellers Khorsandi Jan 1976

An Interactive Information System For Tracking Student Academic Progress And For Projecting Quarterly Course Enrollments, Marilyn Sellers Khorsandi

Retrospective Theses and Dissertations

An interactive information system has been developed for the College of Engineering to promote faster and more accurate trial advisement interviews between professors and the students they advice. This system also provides departmental administrative personnel with information to guide course scheduling. The system has the capability of providing the following information concerning undergraduate students enrolled in the College of Engineering: 1. A student's academic progress toward graduation. 2. A projection for four quarters of enrollments in engineering core courses. 3. The current status of any course offered as a requirement for obtaining a Bachelor's Degree in one of the Engineering …


Energy Resource Allocation Optimization--A Linear Programming Model, Paul F. Hutchins Jan 1976

Energy Resource Allocation Optimization--A Linear Programming Model, Paul F. Hutchins

Retrospective Theses and Dissertations

A linear programming model has been developed for a Central Energy Plant which minimizes operational costs for a system involving the generation of chilled water and high temperature hot water plus the generation and/or purchase of electric power with equipment using natural gas or fuel oil energy. The fundamental concepts developed herein are sufficient for the analysis of any combination of energy supplies, demands, and energy conversion equipment. Utilization of this model is demonstrated with a case study and computer program results for high and low temperature environments. The linear programming model approach establishes a well-defined framework for the analysis …


Energy Resource Allocation Optimization: A Mixed Integer Programming Fixed Charge Model, Mashaallah Khorsandi Jan 1976

Energy Resource Allocation Optimization: A Mixed Integer Programming Fixed Charge Model, Mashaallah Khorsandi

Retrospective Theses and Dissertations

A fixed charge model has been developed for a case study of a total energy power plant involving energy demands for chilled water, high temperature hot water, and electrical power. Using a FORTRAN computer program, which employs the Land and Doig branch and bound algorithm, the system model is solved for different sets of system demands for multiple energy users, and the following set of information is obtained to guide the decisions of operations personnel: 1. Recommend on/off status for each piece of equipment in the system. 2. Recommended rate of operation for each piece of machinery. 3. Required amounts …


A Dynamic Simulation Of The Gasoline Distribution System During Periods Of Normal And Restricted Availability, Sheriar R. Bamasi Jan 1974

A Dynamic Simulation Of The Gasoline Distribution System During Periods Of Normal And Restricted Availability, Sheriar R. Bamasi

Retrospective Theses and Dissertations

No abstract provided.


Flood Control Modeling, Peter E. Delle Donne Jan 1972

Flood Control Modeling, Peter E. Delle Donne

Retrospective Theses and Dissertations

This is a research report that discusses some continuous and discrete modeling techniques. The report applies these techniques to the analysis of Canal 38 (Kissimmee River) part of Central and South Florida Flood Control District. The analysis is based on recorded data for defining the physical systems parameters. Established parameters are mathematically related to define a descriptive model for Canal 38. The modeling procedure of 'trial and error' is used to assemble the model with measures of merit, the integral square error, and root mean squared error. General simulation considerations are discussed for application of the mathematical model.