Towards an Adaptive Framework for Real-Time Visualization of Streaming Big Data

During missions, the drone is streaming video and other sensor data in real-time to an external server that performs inference using neural networks and predicts the geolocation

In this paper, we have presented SSP for modeling Spark Streaming. The proposed model enables users to configure the processing framework of Spark Streaming and

This graph is a layout diagram (the triangles and vertices are laid out in the order they occur in the original data file) which connects triangles that share the same vertex

After generating our working set data structures, we can now apply the actual filtering operation. Each processing pass takes as input the block data pool and the virtual block ta-

We combine WebGL volume rendering rendering with data compression and intel- ligent streaming to provide a fast and flexible remote visualization solution for SPH simulations,

Figure 1: Conventional volume rendering shows time-dependent data as animation, which can convey qualitative temporal development well but does not provide an overview of the whole

Towards our goal of visualizing large amounts of data in real-time, we divide time into several periods and represent each period using different visualization techniques.. As

This tutorial will present the challenges and unique aspects of mixed reality visualization applications such as organization of data for visualization, real-world data sources