Showing 201 - 220 results of 248 for search '((pinned OR hinges) OR (((spina OR spinga) OR ((pingn OR (spinka OR sspinka)) OR spingao)) OR pin))', query time: 0.16s Refine Results
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    Mechanics of fracture and flexure in Antarctic ice sheets and ice shelves by Zhang, H

    Published 2024
    “…In grounding zones and floating ice shelves, ice fracturing is often associated with flexure modulated by ocean tides and subglacial water flow, as well as stresses created by shearing, such as pinning points. Fracture and flexure significantly affect the vulnerability of Antarctic ice shelves to hydrofracturing and, by altering buttressing effects, the mass balance of the entire Antarctic Ice Sheet. …”
    Thesis
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    Preliminary Investigation of 4D Printing Technology for Deployable UAV Development by Chua, Chee Kai, Teoh, J. E. M., Liu, Yong, An, J., Li, Y.

    Published 2016
    “…The investigation has also shown that the folding angles (0°, 15°, 30° and 60°) of the hinge for the back wing of UAV model is programmable and controllable. …”
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    Conference Paper
  16. 216

    Dragonfly (Sympetrum flaveolum) flight : kinematic measurement and modelling by Chen, Y. H., Martin, Skote., Zhao, Y., Huang, W. M.

    Published 2013
    “…By applying more tracking points along the leading edge around the nodus, it is shown that the leading edge is not one rigid piece, but two pieces hinged at the nodus with physical constraint of forty degrees. …”
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    Journal Article
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    Effects of lumbar support to reduce discomfort during prolonged riding among motocyclists by Mohd Shafiei, Umi Kalsom

    Published 2015
    “…Electromyography (EMG) signals were recorded from right and left erector spinae musculature during 2 hours riding session. …”
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    Thesis
  20. 220

    Cross-Modal Deep Variational Hashing by Liong, Venice Erin, Lu, Jiwen, Zhou, Jie, Tan, Yap Peng

    Published 2017
    “…Unlike most existing cross-modal hashing methods which learn a single pair of projections to map each example into a binary vector, we design a deep fusion neural network to learn non-linear transformations from image-text input pairs, such that a unified binary code is achieved in a discrete and discriminative manner using a classification-based hinge-loss criterion. We then design modality-specific neural networks in a probabilistic manner such that we model a latent variable to be close as possible from the inferred binary codes, at the same time approximated by a posterior distribution regularized by a known prior, which is suitable for out-of-sample extension. …”
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    Conference Paper