The vulnerability of water bodies to contamination within the neighbourhood of open mine cast environ cannot be overemphasized. Evidence of radioactive trace elements associated with the target minerals in the Plateau State (Nigeria) showed the extent of this vulnerability. In order to address this challenge, the radioactivity levels of water samples from mine ponds, streams, wells, and borehol...

This paper describes an implementation of Streams for the Plan 9 kernel, a multi-threaded, multiprocessor kernel with a system call interface reminiscent of UNIX. Rather than port Dennis Ritchie's Streams to Plan 9, we changed the abstraction to fit more naturally into the new environment. The result is a mechanism that has similar performance and is internally easier to program.

Explaining outliers is a topic that attracts lot of interest; however existing proposals focus on the identification relevant dimensions. We extend this rationale for unsupervised distance-based outlier detection, and through investigating subspaces, we propose novel labeling in manner intuitive user does not require any training at runtime. Moreover, our solution applicable to online settings ...

A novel clustering method for bivariate functional data is proposed to group streams based on their water–air temperature relationship. A distance measure is developed for bivariate curves by using a time-varying coefficient model and a weighting scheme. This distance is also adjusted by spatial correlation of streams via the variogram. Therefore, the proposed distance not only measures the dif...

Habitat destruction is the most important factor determining species extinction; hence, the management of wildlife populations necessitates the management of habitats. Habitat suitability modeling is one of the best tools used for habitat management. There are several methods for habitat suitability modeling, with each of having  some different advantages and disadvantages. In this study, we us...

In this paper, we consider the problem of estimating the distance between any two large data streams in smallspace constraint. This problem is of utmost importance in data intensive monitoring applications where input streams are generated rapidly. These streams need to be processed on the fly and accurately to quickly determine any deviance from nominal behavior. We present a new metric, the S...