WEBVTT

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So today at the environmental wind

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tunnel , we're testing various ways to

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predict uh , snowstorms and particle

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movements in snowstorms . So we have a

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virtual reality headset called the

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hollow lens and we're using that to

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film snowstorms inside of the tunnel

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and track the particle movements in

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that flow and figure out where those

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particles moving . Try to predict what

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the flow is going to do . We're working

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with the University of Vermont , it's

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part of a joint effort between Krell

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and UVM called the avatar project . The

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avatar project is an effort to

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understand ways of improving human to

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machine and machine to machine learning

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for environmental sensing purposes . My

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name is tom shivers . I am a graduate

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student in the mechanical engineering

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department at the University of Vermont .

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We are here today to run wind tunnel

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tests at the Cold regions Research

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Engineering Laboratory for our

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augmented reality headset , particle

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tracking the lost symmetry code that

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we've developed that computes the flow

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field of a three dimensional scene

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using snowflakes as tracer particles .

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The reason would be , it allows us to ,

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to better understand environmental

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conditions for soldiers , understand

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what they're going through uh , in a

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way it allows us to predict somewhat of

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what future weather patterns are gonna

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be , allows them to see through storms

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better and allow them to operate in the

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arctic a lot better