In this paper, we present a method for handling double-talk. This approach uses a robust fast recursive least-squares algorithm (FRLS) and the normalized cross-correlation double-talk detector (NCC DTD). The NCC DTD is developed into a fast version, called FNCC, by reusing computational results from the FRLS algorithm. The major advantage of this detector is that it is much less dependent on th...

A smart student attendance system (SSAS) is presented in this paper. The divided into two phases: hardware and software. Hardware phase implemented based on Arduino's camera while the software achieved by using image processing with face recognition depended cross-correlation technique. In comparison traditional systems, roll call, sign-in sheet, proposed faster more reliable (because there no ...

Nowadays, the clustering of proteins and enzymes in particular, are one of the most popular topics in bioinformatics. Increasing number of chitinase genes from different organisms and their sequences have beenidentified. So far, various mathematical algorithms for the clustering of chitinase genes have been used butmost of them seem to be confusing and sometimes insufficient. In the...

BACKGROUND AND PURPOSE The usefulness of arterial spin-labeling for the evaluation of the effect of the antiangiogenic therapy has not been elucidated. Our aim was to evaluate the antiangiogenic effect of bevacizumab in a rat glioblastoma model based on arterial spin-labeling perfusion MR imaging. MATERIALS AND METHODS DSC and arterial spin-labeling perfusion MR imaging were performed by usin...

In this paper, we present a new algorithm to detect the two-wheelers riding on people for the normalized cross correlation (NCC) and its application of histogram of oriented gradients (HOGs). Using the NCC algorithm, local geometric information is used as weighting value to the HOG features. Experimental results show that the new approach gives higher detection accuracy than that of the convent...