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Video Analysis in Multi-Intelligence

This is a project which was performed by a graduated high school student at Los Alamos National Laboratory (LANL). The goal of the Multi-intelligence (MINT) project is to determine the state of a facility from multiple data streams. The data streams are indirect observations. The researcher is using DARHT (Dual-Axis Radiographic Hydrodynamic Test Facility) as a proof of concept. In summary, videos from the DARHT facility contain a rich amount of information. Distribution of car activity can inform us about the state of the facility. Counting large vehicles shows promise as another feature for identifying the state of operations. Signal processing techniques are limited by the low resolution and compression of the videos. We are working on integrating these features with features obtained from other data streams to contribute to the MINT project. Future work can pursue other observations, such as when the gate is functioning or non-functioning.

This is a project which was performed by a graduated high school student at Los Alamos National Laboratory (LANL). The goal of the Multi-intelligence (MINT) project is to determine the state of a facility from multiple data streams.

Food and Nutrition in Action

A resource package for teachers. It contains: a workshop manual providing a program for K-12 school-based curriculum development in food and nutrition education, a teacher handbook of support materials and a videocassette demonstrating schools implementing the food and nutrition education framework. The materials support 'Health and Physical Education: A curriculum profile for Australian schools'.

The materials support 'Health and Physical Education: A curriculum profile for Australian schools'.