Enhanced Vertical Navigation Using Barometric Measurements.

This paper introduces a technique to transform between geometric and barometric estimates of altitude and vice-versa. Leveraging forecast numerical weather models, the method is unbiased and has a vertical error with a standard deviation of around 30 m (100 ft), regardless of aircraft altitude, which makes it significantly more precise than established comparable conversion functions. This result may find application in various domains of civil aviation, including vertical RNP, systemized airspace, and automatic landing systems.

Ratpack: wearable sensor networks for animal observation.

The goal of our project is to describe the behavior of rats. For this purpose we are using wireless sensor networks, monitoring various quantities that yield important information to complement current knowledge on the behavioral repertoire of rats. So far, on the sensing and processing side we have developed innovative, minimalist approaches pointing in two directions: vocalization analysis and movement tracking. On the data collection and routing side we have adapted to the known burrowing habits of rats by developing new methods for synchronization and data aggregation under the paradigm of sporadic connectivity in a sparse, dynamic network.