Many on a daily basis use time based alarms. Spatial alarms extend the very same idea to location-based triggers, which are fired whenever a mobile user enters the spatial region of the location alarms. Spatial alarms provide critical capabilities for many mobile location based applications ranging from personal assistants, inventory tracking to industrial safety warning systems. In this paper ...

during the recent decades, rapid urbanization growth has led to even faster growth of motorvehicles and especially in large cities. hence, evaluation of the actual level of traffic emissions has gained more interest. this paper, for the first time, presents a bottom-up approach for evaluation of vehicular emissions in tehran- the capital of iran- using the international vehicle emission (ive) m...

Spatial Data Warehouses (SDWs) enable the simultaneous processing of multidimensional queries and spatial analysis. In the literature, little attention has been devoted to the development of benchmarks for analyzing the performance of query processing over SDWs. In this paper, we propose a novel benchmark, called Spatial SSB, designed specifically to perform controlled experimental performance ...

The density-based spatial clustering for applications with noise (DBSCAN) is one of the most popular in data mining, and it used to identify useful patterns interesting distributions underlying data. Aggregation methods classifying nonlinear aggregated In particular, DNA methylations, gene expression. That show differentially skewed by distance sites grouped nonlinearly cancer daisies change Si...

In this paper we present an approach for introducing spatial context into image region labelling. We combine low-level classification with spatial reasoning based on explicitly represented spatial arrangements of labels. We formalise the problem using Linear Programming, and provide an evaluation on a set of 923 images.