Projects in 1986–1987
General Dynamics: Development of a Code Analyzer for Real Time Software
- David Fisher
This project entailed the development of a lexer and a parser in MIL-STD-1815A Ada. This project was a continuation of the Engineering Clinic project done for General Dynamics in the 1985-86 school year.
General Dynamics: Mathematical Modeling and Simulation of Neural Network Image Classifier
- Stavros Busenberg
The project constructed a mathematical model of an interconnected neural network with a view to applications in image classification and pattern recognition. Part of the task of the clinic team was to survey current methods for modeling such networks and decide on the particular modeling approach. The selected model was mathematically analyzed and a computer simulation was used to test it.
Jet Propulsion Laboratory: Identification and Targeting of Military Units in the Battlefield
- Janet Myhre
A map displaying tactical information is an invaluable strategic aid to a battle commander. Enemy radar signals themselves, can be rich sources of tactical information. The clinic investigated methods of analysis of these signal parametrics to improve the statistical accuracy in locating and identifying enemy units in the battlefield.
Jet Propulsion Laboratory: Prediction of Contact Yields for MOSFET's
- Hans Heijmans
Problem 1. A JPL Scientist had invented a device to measure the resistance of a single contact on a chip. Statistical extrapolation from data of 1,000 measurements did not give good results for the whole chip (15 million contacts). The clinic investigated more appropriate probability distributions, taking into account the fabrication process.
Problem 2. A small team (two students) under Prof. Ellis Cumberbatch's direction looked at a separate problem of modeling the source region of a MOSFET and finding its resistance. This involved solving a simple partial differential equation in a complicated region.
Rand Corporation: Optimal Strategies for Regional Defense
- Henry Krieger
This project involved the creation of a mathematical model for deciding the best defense of a specified region from attack by non-nuclear ballistic missiles. The defensive sites typically overlap, defending a wide variety of possible targets which make allocation of defenses more difficult. Previous approaches have used game theoretic models with stochastic elements, but there was no restriction on the approach the team could use. The project concluded with an implementation of a specific algorithm on the computer.
U.S. Forest Service: Influence of Multiple Fires on Suppression Effectiveness in California
- Hans Heijmans
The occurrence of more than one fire at a time creates extra demands on fire-fighting resources and results in outcomes that may be different from situations where fires occur in nonoverlapping time periods. The California Division of Forestry wanted to quantify the differences between multiple and single forest fires based on data acquired during the past five years.