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Aim at the problem of road transportation security, this paper uses a clustering method to deal with the vehicle data collected by GPS equipment. From the GPS real-time supervisory data, we could explore the locations with overspeed density higher than the threshold and create the overspeed points cluster at maximum density value. Those sections with density higher than this maximum value are overspeed...
During last two decades, Mobile Ad hoc Networks (MANETs) has been in widespread use. However, in some critical applications such as in battlefield or area sensing, due to the node mobility, limited power and sparse deployment density, MANETs may suffer network partitioning. Without a stable end to end path, these challenged scenarios could cause most existing ad hoc networks protocols to fail. In...
In this paper, a novel geometric features extraction method for facial expression recognition is proposed. ASM automatic fiducial point location algorithm is firstly applied to a facial expression image, and then calculating the Euclidean distances between the center of gravity coordinate and the annotated fiducial points' coordinates of the face image. In order to extract the discriminate deformable...
Minimizing the total transmission power is one of the main objectives of efficient broadcast algorithms in wireless networks, where all nodes are powered by battery with limited energy supply. Cooperative transmission is an important way to make full use of the space diversity and can save the transmission power significantly, especially in the wireless broadcast transmission, where the nodes can...
Aiming at the problem in facial feature location, the Active Shape Models algorithm has no evaluable criterion to judge its convergence, and tend to run into local minimum when using the fixed search scale, and how to choose the scale is always an issue. This paper presents a method based on the whole shape gray grads to evaluate the search effects, and an improved search policy of multiscale. The...
In this paper, a novel feature extraction approach alpha-based supervised orthogonal projection reduction by affinity is proposed by introducing the idea of SLLE into the traditional method of OPRA. By adding an additional parameter a to control the degree of supervision, the proposed method can acquire some compromise between purely supervised OPRA and unsupervised OPRA and does not only keep the...
The traditional Gabor transform need calculate convolution with whole image when extract expression feature. So, the feature dimensions are very large and computation complexity is very high. Though some improved methods can reduce the feature dimensions and computing cost by manually marking out the feature points, but those methods need intense human intervention and can not meet to the need of...
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