Date of Award

Spring 2015

Document Type

Doctoral Project

Degree Name

Doctor of Engineering (D Eng)

Department

Engineering Management

Committee Director

Adrian Gheorghe

Committee Member

Charlie Daniels

Committee Member

Holly Handley

Committee Member

Roderick Barnes

Abstract

The Common Knowledge Engineering Framework for Data Assimilation, Correlation, and Extrapolation (DACE) project is focused on providing a software centric general framework for advanced processing and analysis of data. This translates to researchers, scientists, engineers, and system architects not having to program a new application but rather to define the system configuration, process, and processing that is needed to perform a specific functionality. This makes the limitation of the application the end users ability to fully define the functional requirements and setup the framework accordingly.

This doctoral project will provide the details to the system definition, standards, metrics, schedule, and evaluation that were utilized in the performance o f this project. The project’s framework allows multiple analysis methods to be utilized either individually or concurrently depending on the end user’s configuration. The architecture will not provide limitations on what can be done. It will allow the end user to configure and define the analysis method to use.

DOI

10.25777/a827-jt92

ISBN

9781321833386

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