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Post-Classification Comparison(PCC) method is widely used in change detection for remote sensing images, but it is affected by a significant cumulative error caused by single remote sensing image classification during change detection, which leads to the excessive evaluation of changed types and quantity. To solve this problem, this paper proposes a change detection method for remote sensing images...
In Inertia Confinement Fusion (ICF) physical experiments, the accuracy of target positioning affects the successful rate of target hitting directly. A 3-CCD camera system is often used for tiny target measurement in ICF target positioning. Most of the current pose measurement methods utilize the well-known digital image processing technology to extract the target features in each image, then calculates...
A new time-delay estimation method based upon Cubic spline interpolation and Area bary center algorithm that is well suitable for determining the time-delay between two noisy band-limited signals is introduced. Unlike conventional correlation algorithm, the new approach has the ability to optimally estimate any non-integral sample delay only using Cubic spline interpolation and Area bary center algorithm...
Combination-boom is a kind of large scale boom with non-uniform sections, which will generate large deflection in the loading cases. As for that, auxiliary bracing is necessary. Using FEM software, an optimization strategy has been proposed. Firstly, based on equivalent inertia moment method, the boom system can be simplified, after that a model of boom system would be set up. Secondly, with different...
Studies revealed that navigation systems that provided intraoperative assistance might improve pedicle screw insertion accuracy, and also implied that different systems provided different pedicle screw insertion accuracy. A systematic review and meta-analysis was conducted to focus on the pedicle screw insertion accuracy with or without the assistance of image-guided system, and the variance among...
Medical data often contains a large number of irrelevant and redundant features and a relatively small number of cases, which dramatically impact quality of diseases diagnosis. Hence, in quest for higher differentiation quality, feature selection is expected to improve differentiation performance. In this paper, we describe a heuristic approach based on Rough Sets theory and information theory, for...
A fundamental goal in systems neuroscience is to infer the functional connectivity among neuronal elements coordinating information processing in the brain. In this work, we investigate the applicability of dynamic Bayesian networks (DBN) in inferring the structure of cortical networks from the observed spike trains. DBNs have unique features that make them capable of detecting causal relationships...
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