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This letter presents a mathematical framework for evaluating the link capacity of an interfered communication link in a millimeter-wave mobile scenario, accounting in detail for the shape of the antenna pattern and for the statistic of the direction of arrivals. The developed approach, whose accuracy is verified by Monte Carlo validations in 2D and 3D wireless environments, does not require simplified...
3D Printing or Additive Manufacturing (AM), refers to a new class of technologies of making products directly from any three-dimensional digital models. Broader applications of AM require to lower the cost of AM machines. However, products fabricated by low-end machines suffer from the issue of low dimensional accuracy. In this paper, we intend to address this issue for Fused Deposition Modeling (FDM)...
We propose a new technique to infer the dimensions of a real object using an image via the automatic calibration of a camera. This method utilises different geometric shapes to make comparisons for calibration and thus decrease the number of errors. Various square, rectangular and triangular shapes are used as the origin by which to calibrate the camera. Since the position from one of the geometrical...
Deep learning has emerged as a powerful technique to extract high-level features from low-level information, which shows that hierarchical representation can be easily achieved. However, applying deep learning into 3D shape is still a challenge. In this paper, we propose a novel high-level feature learning method for 3D shape retrieval based on deep learning. In this framework, the low-level 3D shape...
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