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Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.
Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.
Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.
Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.
Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.
High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.
In manufacturing parts for industry using traditional molds and dies, about 70 percent to 80 percent of the time it takes to create a part is a result of a relatively slow cooling process.
MAPSTER is a lightweight software package that automatically searches deployed laptops for geospatial data and complies metadata (GPS coordinates, file size, etc) at a central checkpoint.
This technology combines 3D printing and compression molding to produce high-strength, low-porosity composite articles.