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Logistic Regression Modeling Of Diminishing Manufacturing Sources For Integrated Circuits, Michael J. Gravier
Logistic Regression Modeling Of Diminishing Manufacturing Sources For Integrated Circuits, Michael J. Gravier
Theses and Dissertations
The problem of Diminishing Manufacturing Sources and Material Shortages (DMSMS) afflicts the Air Force and other armed services in a way unforeseen in the past. The costs of DMSMS manifest themselves both in terms of monetary expense and diminished mission readiness. The current environment of limited defense spending and high operations tempo exacerbates this problem. This thesis draws on available data from the electronics integrated circuit industry to attempt to assess whether statistical modeling offers a viable method for predicting the presence of DMSMS. The research identified logistic regression as a powerful tool for analysis of DMSMS and further developed …
Optimal Pulsed Pumping Schedule Using Calculus Of Variation Methodology, Tay W. Johannes
Optimal Pulsed Pumping Schedule Using Calculus Of Variation Methodology, Tay W. Johannes
Theses and Dissertations
Application of a variational optimization technique has demonstrated the potential strength of pulsed pumping operations for use at existing pump-and-treat aquifer remediation sites. The optimized pulsed pumping technique has exhibited notable improvements in operational effectiveness over continuous pumping. The optimized pulsed pumping technique has also exhibited an advantage over uniform time intervals for pumping and resting cycles. The most important finding supports the potential for managing and improving pumping operations in the absence of complete knowledge of plume characteristics. An objective functional was selected to minimize mass of water removed and minimize the non-essential mass of contaminant removed. General forms …
Improving Cape Canaveral's Next-Day Thunderstorm Forecasting Using A Meso-Eta Model-Based Index, John C. Crane
Improving Cape Canaveral's Next-Day Thunderstorm Forecasting Using A Meso-Eta Model-Based Index, John C. Crane
Theses and Dissertations
Reliable thunderstorm forecasts are essential to safety and resource protection at Cape Canaveral. Current methods of forecasting day-2 thunderstorms provide little improvement over forecasting by persistence alone and are therefore in need of replacement. This research focused on using the mesoscale eta model to develop an index for improved forecasting of day-2 thunderstorms. Logistic regression techniques were used to regress the occurrence of a thunderstorm at Cape Canaveral against day-2 forecast variables output, or derived, from the mesoscale eta model. Accuracy and bias scores were calculated for the forecasts made by the regression equations, and the forecast results were compared …