Jonathan Gagnon

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—Minimum-Latency Aggregation Scheduling (MLAS) is a problem of fundamental importance in wireless sensor networks. There however has been very little effort spent on designing algorithms to achieve sufficiently fast data aggregation under the physical interference model which is a more realistic model than traditional protocol interference model. In(More)
This paper introduces a novel workflow to generate snow imprints, and model the interaction of snow with dynamic objects. We decoupled snow simulation into three components: a base layer, snow particles, and snow mist. The base layer consists of snow that has not been in contact with a dynamic object yet, and is stored as a level set. Snow particles model(More)
We present a new approach for texturing fluids. Particle trackers are scattered on the surface of the fluid, and used to track deformations and topological changes. For every frame of the animation, the trackers are advected and rotated coherently with the flow of the fluid. Receiver polygons are identified on the fluid surface and are used to transfer uv(More)
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