In a greening Arctic, Iceland stands out as an area with very high increases in the AVHRR Normalized Difference Vegetation Index (NDVI, 1982–2010). We investigated the possible sources of this anomalous greening in Iceland’s dynamic landscape, analyzing changes due to volcanism and warming temperatures, and the effects of agricultural and industrial land use changes. The analysis showed the inc...

We propose a model for using firewall log entries of denied inbound Internet traffic for indirect discovery of local IP addresses that have security problems. This method is used successfully to discover computers with security problems on a network. A hexagonal SelfOrganizing Map then illustrates the network landscape of wireless traffic comparing it with malicious traffic and contrasting it t...

Cryoelectron tomography opens a window into the inner space of cells. It combines the potential of three-dimensional imaging with a close-to-life preservation of biological samples. Tomograms with molecular resolution are essentially images of the cellular proteome and, in conjunction with advanced pattern recognition techniques, they can be used to map the molecular landscape inside organelles...

A successful application area of mobile technology for learning has been to provide location-based guides that inform students or tourists about their immediate surroundings. In this paper we extend this location-based learning to the distant landscape, so that a visitor to an unfamiliar area can ask “what can I see over there?”, or can annotate the landscape by taking photos of distant feature...

The United States is increasingly becoming a multi-racial society. To understand multiple consequences of this overall trend to our neighborhoods we need a methodology capable of spatio-temporal analysis of racial diversity at the local level but also across the entire U.S. Furthermore, such methodology should be accessible to stakeholders ranging from analysts to decision makers. In this paper...

Region growing is an image analysis technique that uses the spatial patterns in an image to divide an image into regions or spatially continuous clusters. A region growing process is an iterative bottom-up optimization process, where in each round the most similar neighbouring regions are merged, minimizing the dissimilarity within the regions and maximizing the dissimilarity between the region...