Physical Sciences and Mathematics Commons^™

An Experimental Sequence Examining The Effect Of Task Type, Memory Condition, And Display Presentation Type On Performance Time And Error Rate, Using Columnar Table Versus Vertical Bar Graph Versus Line Graph, Suparna Das

Theses

A total of 126 subjects at various levels of school and a health related manufacturing firm participated in three experiments that compared Tables, Line graphs and Bar graphs forms of data presentation. The experiments were performed each consisting of a training task followed by answering some questions based on the presented material. The experimental series were presented to six groups. Group 1, 3, 5 viewed Line graphs, Tables or Bar graphs respectively while answering the questions while the other three groups answered questions based on memory of either Line graphs, Table or Bar graph presentation.

The independent variables were:

1. Memory …

Rule-Based Module And Object-Oriented Design For Optical Character Recognition, Min Gao

Theses

In this thesis, I present a optical character recognition technique based on the rule-based module and object-oriented design. A document image is first scanned, and then segmented into isolated characters by the use of projection profiles. The recognition procedures include three steps: contour extraction, strokes detection and rule-based classification. The contour extraction is to extract the outbound boundary and to perform the boundary linking and noise removal. The stroke detection is to detect the features or strokes of the outbound boundary, such as horizontal/vertical lines, left/right slash lines and left-/right-opened curves. The rule-based classification consists of two rules: character definition …

The Performance Of Training Pattern Sets In A New Art-Based Neural Architecture For Image Enhancement, Fu-Chun Chang

Theses

Neural network can be applied on the image enhancement after adding another two layers into the Adaptive Resonance Theory architectures (ART 1). The analysis for selecting a nice training pattern set associate the appropriate vigilance values is the main concerns in this thesis. For a single training pattern ,the network can act as a mathematical morphology operators such as erosion , dilation, opening and closing. With more than one training patterns in the network, 16 experiments are tested and are compared to each other in order to find the best selection for doing the image enhancement work. With both the …