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Correct localization of the needle is of vital importance to guarantee successful puncture. The complexity of real US data increases the difficulties. A multi-scale random sample consensus (MS-RANSAC) algorithm is proposed in this paper to locate the needle in complicated 3D US data. The algorithm uses the radius difference between needle and other tubular human tissues to extract the correct needle...
With the development of information technology, graph computing becomes an increasingly important tool for information processing. Recently, GPU has been adopted to accelerate various graph processing algorithms. However, since the architecture of GPU is very different from traditional computing model, the learning threshold for developing GPU-based applications is high. In this paper, we propose...
Random access algorithm is critical for the performance of interactive broadcasting system. Random access with Dynamic Window Size and Random Access Slots(D-WS-RAS) is proposed as an efficient way to tackle this problem in the interactive broadcasting system. This algorithm is composed of three parts: utilize Bayes' rule to estimate the number of access, dynamically set backoff window size and dynamically...
In this paper, the de-noising method based on multivariate empirical mode decomposition (MEMD) is creatively proposed to put use to pulsar signal, filling the void that the previous methods based on the wavelet analysis have the limitations of choosing the basic functions, and the EMD algorithm's bounded that it can't process multiple signals jointly to avoid the mode mixing. MEMD is an extension...
The training of SVM can be viewed as a Convex Quadratic Programming (CQP) problem which becomes difficult to be solved when dealing with the large scale data sets. Traditional methods such as Sequential Minimal Optimization (SMO) for SVM training is used to solve a sequence of small scale sub-problems, which costs a large amount of computation time and is hard to be accelerated by utilizing the computation...
It is well known that in all FDTD simulations for predicting electromagnetic responses of various two- and three-dimensional structures, we always need to generate their appropriate meshes. In particular, for conformal and other enhanced FDTD algorithms, appropriate meshing is very important and it is directly related to the simulation accuracy. The real-world model, such as aircraft and ship platform...
In order to solve the problem of "information overflow" in e-learning, an algorithm based on Hebbian learning law is proposed for constructing self-organized communities which can automatically group e-learners according to their learning interests. Unlike filtering methods,this algorithm takes into consideration of the distributed open environment of e-learning. This paper designed a peer-to-peer...
The data fusion algorithm has been developing extensively with the wide application of sensor networks. An Informax-based data fusion algorithm is proposed in this paper. The fusion matrix can be self-adaptive from the mutual information of the sensors output to obtain the maximal approximation of the original signal. In addition, the effects of step-size factor are analyzed. A Gyroscopes Network...
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