Sandia Labs is building a simulator to simulate the cpu, network, and storage components of a supercomputer. The Clinic team is working on the simulation of the storage nodes, adopting last year's storage-node simulator as a starting point. They are updating the file system and DiskSim, a hard disk simulator, to make the simulator more accurate. The team will also perform additional validation of the simulator.

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.

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facility that attracts scientists from around the world to conduct experiments, yet the LANSCE Museum exhibit is outdated and does not represent its extant scientific capabilities.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 will become the 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.

This project seeks to replace a document scanner with a hand-held digital camera as a front-end to Laserfiche's document-management solutions. Conditions such as shadows, indistinct backgrounds, multiple documents, and occlusions make it difficult to determine the document's location within the camera's image: this is the segmentation problem. The team has integrated pixel-level, edge-level, and structural-level image processing routines within a probabilistic framework to find appropriate document segmentation in a variety of business cases.

Co-clustering is a statistical technique that groups objects that share similar features. It has applications in many fields, including natural language processing. Current co-clustering algorithms limit each item to one cluster, but in many cases items fall naturally into more than one cluster (e.g, the word "may" in natural language processing). The team used a Dirichlet mixture model to implement "soft" co-clustering, assigning each item a probability of being in each cluster.

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.