To process these queries, a well-known approach is to install a filter at each sensor node to avoid unnecessary transmissions of sensor readings. In this paper, we propose a new top- k monitoring method, named Distributed Adaptive Filter-based Monitoring. In this method, we first propose a ...
We present an adaptive sampling method supplemented by a distributed database and a prediction method for multiscale simulations using the Heterogeneous Multiscale Method. A finite-volume scheme integrates the macro-scale conservation laws for elastodynamics, which are closed by momentum and energy fluxes...
FASTA, BAM formats, or SRR identifiers. Thek-mer count in each file is calculated and stored using a dedicated file format.k-mers are then filtered using an Entropy boosted Bayes filter with Monte Carlo cross validation to obtain thek-mers that are able to classify the input samples. These ...
transcriptome data reveal that BrJMJ18Parcan regulate chlorophyll biosynthesis under high temperatures. We also demonstrate that three amino acid mutations may account for function differences in BrJMJ18 between subspecies. Based on these findings, we propose a working model in which an H3K36me2/3 d...
uchar pixelFilter OSP_PIXELFILTER_GAUSS OSPPixelFilterType to select the pixel filter used by the renderer for antialiasing. Possible pixel filters are listed below. : Parameters understood by all renderers. OSPRay’s renderers support a feature called adaptive accumulation, which accelerates progressi...
The most common equalization techniques that can be used are: • A passive high pass filter network placed at the receiver. This is often referred to as passive equalization. • The use of active circuits in the receiver. This is often referred to as adaptive equalization. MPC8548E ...
The variants are evenly distributed across the chromosomes with the only exception of one region on the short arm of chromosome 6, where the maximal distance between neighboring variants exceeds 1.2 Mb. Despite a specific filter aiming for equal variant distribution according to the physical map ...
iMOKA uses a fast and accurate feature reduction step that combines a Naïve Bayes Classifier augmented by an adaptive Entropy filter and a graph-based filter to rapidly reduce the search space. By using a flexible file format and distributed indexing, iMOKA can easily integrate data from ...
However, existing quantile filter methods consume much energy when getting the thresholds. In this paper, we develop a new top-k query algorithm named QFBP which is to get thresholds by prediction. That is, QFBP algorithm predicts the next threshold on a sensor node based on historical ...
TtestFilterbinary. Note that thist-test option is not appropriate for small samples [46]. To increase the power of the analysis, in particular for small samples (typically less than six vs six libraries), we strongly advise the use of the second option based on a generalized linear model,...