data types Storage engine Query processor SQL Language Continuous time-based Sliding Window Queries Continuous Predicate-based Window Queries Moving Queries Stream data types Stream of Moving Objects/Queries Stream_Scan Operator W-Expire Operator Negative Tuples INSIDE Operator kNN Operator WINDOW window_clause kNN knn_clause PLACE NILE INSIDE inside_clause

Six simple, dynamic soft sensor methodologies with two update conditions were compared on two experimentally-obtained datasets and one simulated dataset. The soft sensors investigated were: moving window partial least squares regression (and a recursive variant), moving window random forest regression, feedforward neural networks, mean moving window, and a novel random forest partial least squa...

terracing is an operator that is applied to potential field data to produce regions of constant field amplitude that are separated by sharp boundaries. magnetic data are usually transformed into pseudo-gravity data (baranov, 1957) prior to the application of terracing. the objective of terracing is ‘to recast potential field maps into a geologic map like format’ (cordell and mccafferty 1989). t...

The Moving Window Classifier(MWC) has previously been proposed as an efficient scheme for text recognition applications. In this paper, the potential of the MWC algorithm in face recognition is investigated. To maintain the memory requirements of the classifier within acceptable practical limits, the concept of bit-plane encoding is utilized. The experimental results reported show very encourag...

Users are increasingly dependent on decision tools to facilitate their transactions on the internet. Reputation models offer a solution to the users in supporting their purchase decisions. The reputation model takes product ratings as input and produces product quality as score. Most existing reputation models use naïve average method or weighted average method to aggregate ratings. Naïve avera...

An l∞ norm based Source Separation Method has recently been introduced [1, 2], with the corresponding subgradient based algorithm that has a simple update rule. In this article, we propose a moving window modification to this algorithm, where instead of a long fixed window, a shorter length moving window is used. The simulation results for different blind source separation setups suggest that a...

Abstract : An $l_\infty$ norm based Source Separation Method has recently been introduced, with the corresponding subgradient based algorithm that has a simple update rule. In this article, we propose a moving window modification to this algorithm, where instead of a long fixed window, a shorter length moving window is used. The simulation results for different blind source separation setups su...

Kriging is a spatial prediction method, which can predict at any location and return a measure of prediction confidence (the kriging standard error). There exist many variations of kriging, some of which can be complex, especially those that allow many of its parameters to vary spatially. To calibrate such a kriging model and to be able to interpret its results can therefore be quite daunting. ...

In this paper, a "Moving Window" scheme for detecting lanes and obstacles from the images captured by a CCD camera in an automobile is proposed. Processing the input dynamic images in real time requires high performance hardware as well as efficient software. In order to relieve these requirements for detecting lanes and obstacles from the images in real time, a "Moving Window" scheme is propos...