This paper presents an efficient parallel Adaptive Inverse Distance Weighting (AIDW)
interpolation algorithm on modern Graphics Processing Unit (GPU). The presented …

Data crowdsourcing is one of most remarkable results of pervasive and internet connected
low-power devices making diverse and different “things” as a world wide distributed system …

Data from sensors incorporated into mobile devices, such as networked navigational
sensors, can be used to capture detailed environmental information. We describe here a …

This paper focuses on designing and implementing parallel adaptive inverse distance
weighting (AIDW) interpolation algorithms by using the graphics processing unit (GPU). The …

We first present two GPU implementations of the standard Inverse Distance Weighting (IDW)
interpolation algorithm, the tiled version that takes advantage of shared memory and the …

Prediction of environmental phenomena at non-observed locations is a fundamental task in
geographic information science. Often, samples are taken at a limited number of sensor …

Sensors incorporated into mobile devices provide unique opportunities to capture detailed
environmental information that cannot be readily collected in other ways. We show here how …

Terrain analysis based on modern, high-resolution Digital Elevation Models (DEMs) has
become quite time consuming because of the large amounts of data involved. Additionally …

Parallel processing methods in Geographic Information Systems (GIS) are traditionally used
to accelerate the calculation of large data volumes with sophisticated spatial algorithms …

Fast technology development has influenced the widespread use of low‐power devices in
different scientific, environmental, and everyday life areas, giving birth to the Internet of …