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Node flip ambiguity is a key problem that needs to be addressed for the range-based node localization in wireless sensor networks. A Robust Node Localization Method (RNLM) is proposed in this paper. It is a two phase methods. In the first phase, the orthogonal projection detection method is adopted to detect the unknown nodes needed to be positioned. For the unknown nodes that will not occur flip...
Node flip ambiguity is a key problem that needs to be addressed for range-based node localization in wireless sensor networks. In this paper we have implemented robustness analysis for three-dimensional node localization in wireless sensor networks. A robustness criterion to detect flip ambiguity for range-based three-dimensional nodes localization is proposed. We have proposed that flip ambiguity...
To detect a node flip ambiguity in range-based wireless network node localization, Wang et al. have proved that the flip ambiguity detection is equal to whether there is a straight line intersecting with all range error circles of reference node, which is called the existence of intersecting line (EIL) problem. To solve the EIL problem under equal radii, a convex hull algorithm proposed by Wang et...
The Smith-Waterman (SW) algorithm is the most accurate sequence alignment approach used by computational biologists for DNA matching. However it's computational complexity makes SW impractical to use in clinical environment compared to much faster but less accurate sequence alignment technique such as BLAST. High performance computing community is examining alternative multi core architectures such...
Problem determination and resolution PDR is the process of detecting anomalies in a monitored system, locating the problems responsible for the issue, determining the root cause and fixing the cause of the problem. The cost of PDR represents a substantial part of operational costs, and faster, more effective PDR can contribute to a substantial reduction in system administration costs. In this paper,...
In this paper, a fast motion estimation algorithm, which is friendly to VLSI hardware implementation is proposed. This algorithm has such features: First, through "Haar" low-pass filter based subsampling, the computation complexity at each search position is reduced to about 25% of the original algorithm; Second, one modified motion vector prediction is provided to eliminate the data dependence...
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