Engineering Commons^™

Application Of Case-Based Reasoning Techniques To The Automation Of Single-Family Residential Property Appraisals, Raymond Laureano-Ortiz

Retrospective Theses and Dissertations

Case-based reasoning has emerged as an alternative to rule-based reasoning techniques for the design of expert systems. This paper concentrates on the issues involved in the application of the case-based reasoning techniques to a specific domain, property appraisal. Case-based reasoning has been recently favored because it seems to resemble more closely to the psychological process human follows when trying to apply their knowledge to the solution of problems: People adapt solutions of similar problems they handled in past experiences to address present situations.

Property appraisal or valuation is a domain characterized by having a single parameter in its solution, that …

Closure Of Unlined Landfills, Brenda J. Westhorp

Retrospective Theses and Dissertations

No abstract provided.

The Extraction Of The Equivalent Circuit Parameters Of Surface Acoustic Wave Resonators, Brent H. Horine

Retrospective Theses and Dissertations

The application of the Electronic Industries Association suggested standard, EIA-512 [1], has been successfully applied to quartz crystal resonators for extraction of the equivalent circuit model parameters. This technique has been shown to be very successful in the operation range to several hundred megahertz. This same technique is proposed to be applied to many differing types of resonators through the full spectrum of frequencies. This thesis will discuss measurement and testing of Surface Acoustic Wave (Saw) resonators at the higher frequencies. The packaging configuration in conjunction with SAW devices can lead to significant parasitic effects. In order to successfully extract …

Counterpropagation Neural Network Detection Of Visual Primitives, Cynthia Lynn Johnson

Retrospective Theses and Dissertations

Psychological testing has shown that there is an early preattentive stage in the human visual system. At this level, simple features and properties of objects known as visual primitives are detected spatially in parallel by groupings of cells in the visual cortex known as feature maps. In order to study this preattentive stage in a machine vision system, the biologically inspired, highly parallel architecture of the artificial neural network shows great promise. This paper describes how the unique architecture of the counterpropagation neural network was used to simulate the feature maps which detect visual primitives in the human visual system. …