Many applications today like Uber, Yelp, Tinder, etc. rely on spatial data or locations from its
users. These applications and services either build their own spatial data management …

As remote sensing equipment and networked observational devices continue to proliferate,
their corresponding data volumes have surpassed the storage and processing capabilities …

Selecting the most stable partner on a vehicular ad hoc network (VANET) is a challenging
task due to its unique mobility, driver behavior, and networking requirements. Although new …

This study presents a framework to enable distributed detection, storage, and analysis of
anomalies in voluminous data streams. Individual observations within these streams are …

Support for region queries is crucial in geographic information systems, which process exact
queries through spatial indexing to filter features and subsequently refine the selection …

Multi-spectral satellite images that remotely sense the Earth's surface at regular intervals are
often contaminated due to occlusion by clouds. Remote sensing imagery captured via …

Scientists use models to further their understanding of phenomena and inform decision-
making. A confluence of factors has contributed to an exponential increase in spatial data …

One of the most powerful ways to explore data is to visualize it. Visualizations underpin data
wrangling, feature space explorations, and understanding the dynamics of phenomena …

In this paper, we propose power consumption models for complex gates and transmission
gates, which are extended from the model of basic gates proposed in Lin et al.,(1994). We …

Planning for large-scale epidemiological outbreaks in livestock populations often involves
executing compute-intensive disease spread simulations. To capture the probabilities of …