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Projects in 2005–2006

Cardinal Health: Control Algorithm for an IV System

Andrew J. Bernoff

Many of the most critical medications are injected directly into veins, arteries, or muscles using an IV system. The flow through traditional IV systems is driven by direct displacement mechanisms such as pistons or peristaltic actuators with flow disruption detected by measuring pressure. Cardinal Health's next generation of systems will combine active and passive components with a sensor (a current HMC Engineering Clinic project) that determines the instantaneous flow rate. The mathematics team designed a control algorithm that incorporates feedback from this sensor to more accurately regulate flow.


  • Reid Howard
  • Sarah Mann
  • Susanna Ricco
  • Hope Runyeon

Hewlett-Packard Labs: Implementation and Testing of Two New Methods for Generating ICC Profiles

Weiqing Gu

Regardless of the technology used, the end goal of printing is to produce an output document that pleasingly resembles the input as much as possible. This can be reproducing a photograph, printing a computer screen, or even making two copies of a document as similar as possible. When working with only two devices, the transition between them can be studied exhaustively, but in the general case, we want a tool to make this transition easier. This is accomplished by mapping from an individual machine's range of colors (like a monitor's RGB space) to a device independent color space, and is called an ICC profile. At present, while the profile itself is well defined, the inverse transform is very difficult to produce and can have a lot of error from the way it is created. Our project is the design and implementation of two new methods which use dramatically different techniques to generate ICC profiles.


  • Benjamin Azose
  • Garret Heckel
  • Eric Johnson
  • Jed Levin
  • Ian Win

Los Alamos National Laboratory: Mathematical and Computational Modeling of Tumor Development

Lisette de Pillis

Computerized mathematical models that accurately reflect the biological processes of tumor growth can help increase understanding of cancer biology and potentially improve cancer treatment. Furthermore, such models can be used as predictive tools for studying the effects of chemotherapies upon tumor growth and creating more effective and precisely calibrated treatments. In order to study chemotherapy on tumors, our team explored vascular tumor growth by adding a blood vessel network to a pre-existing avascular tumor model in several stages. We first tested a simple vein structure and then implemented more complex vein structures. We will next study the effects of various chemotherapy doses upon tumor growth.


  • Cristopher Cecka
  • Alan Davidson
  • Tiffany Head
  • Dana Mohamed
  • Liam Robinson

National Renewable Energy Laboratory: Advanced Modeling of Renewable Energy Market Dynamics

Patrick Little
Michael Raugh

Renewable energy technologies, particularly solar and wind, have sustained growth rates of 20-30% per year for the past three decades. However, these high growth rates have not translated into significant gains in market penetration, due to the very small base, except for specific geographic markets such as in Europe. Techniques for analysis of market growth, penetration, and forecasting, while satisfactory for consumer technologies (e.g. cell phones, refrigerators and TVs,), are not widely applicable to renewable energy technologies for which free-market analysis cannot be applied. Specifically, renewable energy penetration is subject to technology "lock in", regulatory rules, oligopoly control (in certain geographic markets), and fiscal policy. This project seeks to address these issues by first researching and classifying current models used for predicting market penetration, and second, by adapting a selected model to account for the differences in modeling consumables and energy technologies, and to predict the effects of government policy options on innovation and market adoption.


  • Moana Evans
  • Rob Little
  • Kevin Lloyd
  • George Malikov
  • Gregor Passolt