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This work looks into one possible cause for wider VT distributions arising from implanter issues. An unintentional convergence or divergence in the implanter beam direction leads to non-uniformities in the odd-row and even-row average VTS across the wafer. A mechanism for this phenomenon is proposed and experimental evidence supporting it is presented. An improvement in the uniformity is shown on...
Mutual information (MI) based image-registration methods that use histograms are known to suffer from the so-called binning problem, caused by the absence of a principled technique for choosing the "optimal" number of bins to calculate the joint or marginal distributions. In this paper, we show that foregoing the notion of an image as a set of discrete pixel locations, and adopting a continuous...
We show that the Fisher-Rao Riemannian metric is a natural, intrinsic tool for computing shape geodesics. When a parameterized probability density function is used to represent a landmark-based shape, the modes of deformation are automatically established through the Fisher information of the density. Consequently, given two shapes parameterized by the same density model, the geodesic distance between...
Rural communities suffer from a lack of infrastructure for inexpensive high-speed access to the Internet. One approach to providing high-speed access in these environments is to share a small number of more expensive high-speed connections across the community. A wireless mesh network can provide a low-cost backbone to enable this sharing. Existing solutions to building community mesh networks use...
High speed machining is pushing the limits of feeds and speeds. A different approach for high throughput is described here. The focus is on the maximum feed that can be obtained for a segment; the feed rate losses due to sharp changes in tool path are minimized. The interdependency of individual axis drive speeds for a tool path segment are analyzed. There exists an optimum work angle relative to...
Automated segmentation of magnetic resonance (MR) brain imagery into anatomical regions is a complex task that needs contextual guidance to overcome problems associated with noise, missing data, and the overlap of features associated with different anatomical regions. In this work, the contextual information is provided as an anatomical brain atlas. The matching of atlas to image data is represented...
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