Until now many algorithms for division operation in residue number systems are presented but almost all of them have an overall loop, conversion from RNS to binary or mixed radix system or using LUT and exclude some numbers in the range of acceptable inputs as a denominator in division operation. In this paper, a non-iterative algorithm for division in RNS system is presented in which all numbe...

Cache replacement strategy is the core for a distributed high-speed caching system, and effects the cache hit rate and utilization of a limited cache space directly. Many reports show that there are temporal and spatial local changes in access patterns of geospatial data, and there are popular hot spots which change over time. Therefore, the key issue for cache replacement strategy for geospati...

Harnessing the latent knowledge present in geospatial trajectories allows for the potential to revolutionise our understanding of behaviour. This paper discusses one component of such analysis, namely the extraction of significant locations. Specifically, we: (i) present the Gradient-based Visit Extractor (GVE) algorithm capable of extracting periods of low mobility from geospatial data, while ...

A polynomial-based division algorithm and a corresponding hardware structure are proposed. The proposed algorithm is shown to be competitive to other conventional algorithms like the Newton-Raphson algorithm for up to about 32 bits accuracy. For example, using Newton-Raphson with less than 12 bits accuracy of the initial approximation, requires 33% more general multiplications than the proposed...

DEFINITION Distributed Geospatial Computing (DGC) refers to the geospatial computing resides on multiple computers connected through computer networks. Figure 1 illustrates DGC within the C/S architecture [1]: where the geospatial computing is conducted by the geospatial components, which can communicate with each other or communicate through wrapping applications, such as web server and web br...

Earth System Science (ESS) research and applications often involve in collecting, analyzing and modeling with distributed heterogeneous geospatial data. Those data are processed step-by-step in geospatial analysis systems to extract information and knowledge products for applications and decision makings. Conceptually, such a step-by-step process forms a geospatial processing model that represe...