Probabilistic data structures are so popular in membership queries, network applications, and so on. Bloom Filter and Cuckoo Filter are two popular space efficient models that incorporate in set membership checking part of many important protocols. They are compact representation of data that use hash functions to randomize a set of items. Being able to store more elements while keeping a reaso...

abstract background: the aim of this study was to compare the efficiency of conventional slow sand filter with modified filter bed with crushed recycled glass in removing of turbidity and total and fecal coliforms from water resources.   methods: in this study efficiency of conventional slow sand filter and modified filter bed with crushed recycled glass during 4 months was compared and their p...

The template matching method is used as a simple method to track objects or patterns that we want to search for in the input image data from image sensors. It recognizes a segment with the highest correlation as a target. The concept of this method is similar to that of SNF (Strongest Neighbor Filter) that regards the measurement with the highest signal intensity as target-originated among othe...

This paper presents a low loss and high selective lowpass filter which is implemented using suspended stripline (SSL) technology. The proposed structure is comprised of a 13th order generalized Chebyshev lowpass filter which enjoys integrated waveguide-to-SSL transitions. This filter is designed and fabricated to be used as lowpass channel of a U-band diplexer employed in frontend of a U-band d...

Digital mammography is considered to be the most effective imaging modality for early detection of breast cancer. Masses and microcalcifications are two early signs of breast cancer. For the detection of masses, segmentation of mammograms results in ROIs (regions of interest) which not only include masses but suspicious normal tissues as well, which lead to false positives. The problem is to re...

In this paper, we proposed a new feature based image mosaic algorithm. The improved RANSAC homography algorithm based on the modified media flow filter, to detect wrong matches for improving the stability of the normal RANSAC homography algorithm. The method improved the local registration between neighboring images. Experiments and Statistical Analysis show that our mosaic method is robust. Ke...

We evaluated for reliability and reproducibility a semiquantitative gas-chromatographic assay of organic acids in samples of normal urine recovered from absorbent filter paper. We also evaluated this method for use in diagnosis of some of the more common organic acidurias. Transfer of urine from diapers to absorbent filter paper eases the usual trauma of specimen collection from young children;...

Due to nature of jobs, unhealthy social habits people are subjected to risk of voice problem [9]. If there is some neurological disorder then also there is problem of voice disorder. Therefore, voice signal can be a useful tool to diagnose them. The awkwardness of analog equipments has simulated development of digital computer techniques for processing and analysis of pathological speech signal...

We present a general technique that allows for appling the instant global illumination (IGI) technique to scenes with glossy BRDFs and high-frequency geometric features like bump and normal maps. Like IGI, we use n×m interleaved sampling patterns to reduce the lighting computations by a factor of n×m, and filter incoming illumination in screen space. Unlike IGI, we filter (per-pixel) the incomi...

Novelty detection requires models of normality to be learnt from training data known to be normal. The first model considered in this paper is a static model trained to detect novel events associated with changes in the vibration spectra recorded from a jet engine. We describe how the distribution of energy across the harmonics of a rotating shaft can be learnt by a support vector machine model...