The Bradbury Science Museum in Los Alamos, New Mexico provides exhibits of both the history of and the current science and technology efforts at the Los Alamos National Laboratory. The Los Alamos Neutron Science Center (LANSCE) is a signature facility that attracts scientists from around the world to conduct experiments, yet the LANSCE Museum exhibit is outdated and does not represent its extant scientific capabilities. The Clinic team developed a state-of-the-art fly-through interactive of the LANSCE facilities that has become a principle educational and demonstrative media piece for the Bradbury Science Museum exhibit with alternate versions available via the LANSCE website, embedded in presentations and available in DVD products.

ODE Toolkit is a program for solving and teaching Ordinary differential Equations. Over the past five years, CODEE has employed students at Harvey Mudd as developers. Unfortunately, weak architectural foundations and insufficient documentation have led to an unwieldy code base and significant development overhear. Our primary goal is to apply standard software engineering principles to reduce the burden of maintenance and upgrading. Additional, the code will be prepared for open-source release to encourage the use and development of the ODE Toolkit.

The Aerospace Corporation proposed a net-centric approach to processing data from the Space-Based Infrared System (SIBRS) of satellites. The team developed four prototype application components that demonstrate the potential of this new approach: an information filter construction system, a heat-map display, a recommendation system, and a search system. These components will aid analysts in processing the high volume of data emitting from SIBRS, making it possible to draw conclusions more readily and decrease reaction time to events of significance.

Detection of anomalies in satellite health and status data requires real-time processing capabilities in order to reduce the ill effects of equipment malfunctions and other undesirable events. The team designed and implemented an extensible software architecture that enables anomalies to be detected and displayed in visual form. In addition to preset monitoring capabilities, our system provides learning capabilities based upon techniques from adaptive signal processing and adaptive resonance theory.

This Clinic project addressed face recognition and grid computing with a framework for distributed biometric identification. ANUBIS, the Aerospace networked upgradeable biometric identification system, is a grid-enabled surveillance application that applies face recognition to video streams. ANUBIS utilizes Aerospace's Switchblade library, a Java framework for the distributed processing of streaming data, and the Identix FaceIt toolkit, and is extensible to accommodate alternative biometric data schemes.

The Clinic team created a platform-independent portal that enables a highly-parallel version of SOAP (Satellite Orbit Analysis Program) to be accessible to a wide community of users for the first time. Heretofore, a user of the parallel version of SOAP would need to be conversant with UNIX commands and other technical aspects of grid computing. Using the team's portal, the power of grid- enabled SOAP is accessible through a simple web interface.

Fair Isaac deals with large knowledge bases in a variety of their lines of business. They are developing an automated theorem prover in the natural deduction framework to build on these data sets. The scale of the proofs and their attendant search spaces make textual proof display and analysis of the prover's operation unreasonable. Thus, the Clinic team has developed a visualization system which greatly eases development efforts. It provides a structured display of the theorem prover's search space and a programmable command-line interface which gives the developer significantly more flexibility than a conventional debugger would allow.

The SnapTrack Clinic team developed two cell-phone applications, Direction Finder and Friendar, which demonstrate SnapTrack's Assisted-GPS technology. Direction Finder demonstrates the utility of a cell phone user being able to quickly acquire driving directions from their current location. Friendar demonstrates the fast update speed and high accuracy of A-GPS by allowing users quickly to pinpoint their friends' locations.

The MySpace social networking website allows members to create personal profiles and share them with other users. One significant feature of MySpace allows members to share their tastes in music and to listen to popular music. The goal of this project is to use this data to develop and assess a prototype music recommendation system for MySpace. We have created an application that reads a user's music preferences from their profile and recommends other artists the user may appreciate.

The team has prototyped an automated system for increasing collaboration in corporate environments. The system analyzes corporate email to discover opportunities for collaboration. Employees then receive recommendations to communicate with other, similarly interested people. The project leverages machine learning, clustering, and text processing techniques.

To maintain accuracy, GPS satellites require regular corrections to their broadcast orbital parameters. An extensive network of ground antennas and control stations throughout the world periodically updates the satellites' orbital parameters, and transmits the updated information to each satellite. Currently, this process occurs at least once a day. Raising the update frequency would increase the accuracy of GPS, but would increase network traffic within the ground network with unknown consequences. To test the impact of such changes on network load, the Clinic team has developed a simulation framework using inexpensive PCs to represent the various nodes in the ground network.

Given a summary report about an "incident" (fire, traffic accident, etc.), the clinic team's system automatically finds nearby news outlets likely to publish Internet articles about the incident. The system also searches these outlets to find specific articles covering the incident. Key elements of the project nvolve spatial search and text classification. This system will assist NC4's information analysts to research current incidents quickly, ensuring up-to-date incident information in the hands of NC4's clients.