For tracking accuracy of moving target in wide-area video surveillance system is not high, a tracking and recognition algorithm based on multi-source moving target is proposed. The fusion algorithm preliminarily determines candidate moving target by frame difference algorithm, and then matches candidate target with primary template by SIFT algorithm and treats the matching result as initial pos...

this paper uses a psopc model based non-destructive damage identification procedure using frequency and modal data. the objective function formulation for the minimization problem is based on the frequency changes. the method is demonstrated by using a cantilever beam, four-bay plane truss and two-bay two-story plane frame with different scenarios. in this study, the modal data are provided nume...

Minimally invasive therapies such as radiofrequency ablation have been developed to treat cancers of the liver, prostate and kidney without invasive surgery. Prior work has demonstrated that ultrasound echo shifts due to temperature changes can be utilized to track the temperature distribution in real time. In this paper, a motion compensation algorithm is evaluated to reduce the impact of card...

In this paper, a new approach for echocardiography image compression is developed. To achieve a high rate of image compression as well as preserving the image information, motion detection and wavelet transform are combined. In the first step, a Region Of Interest (ROI) is determined and the image is divided into several (8 8 pixels) blocks. Thereafter, the motion vectors of each block are esti...

Anti-Collision algorithm based on probability can be used to estimate the number of frame slots needed at the next query round in tag identification of RFID. Each tag is equipped with a random counter to save the number that is relevant to whether the tag responds the query of reader or not. For this type anticollision algorithm, to estimate the number of tags is the most important task in the ...

Frame-semantic parsing is a kind of automatic semantic role labeling performed according to the FrameNet paradigm. The paper reports a novel approach for boosting frame-semantic parsing accuracy through the use of the C5.0 decision tree classifier, a commercial version of the popular C4.5 decision tree classifier, and manual rule enhancement. Additionally, the possibility to replace C5.0 by an ...

Purpose To develop generic optimization strategies for image reconstruction using graphical processing units (GPUs) in magnetic resonance imaging (MRI) and to exemplarily report on our experience with a highly accelerated implementation of the nonlinear inversion (NLINV) algorithm for dynamic MRI with high frame rates. Methods The NLINV algorithm is optimized and ported to run on a multi-GPU ...

A novel blind recognition algorithm of frame synchronization words is proposed to recognize the frame synchronization words parameters in digital communication systems. In this paper, a blind recognition method of frame synchronization words based on the hard-decision is deduced in detail. And the standards of parameter recognition are given. Comparing with the blind recognition based on the ha...