10,999 research outputs found

    Design of a composite wing extension for a general aviation aircraft

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    A composite wing extension was designed for a typical general aviation aircraft to improve lift curve slope, dihedral effect, and lift to drag ratio. Advanced composite materials were used in the design to evaluate their use as primary structural components in general aviation aircraft. Extensive wind tunnel tests were used to evaluate six extension shapes. The extension shape chosen as the best choice was 28 inches long with a total area of 17 square feet. Subsequent flight tests showed the wing extension's predicted aerodynamic improvements to be correct. The structural design of the wing extension consisted of a hybrid laminate carbon core with outer layers of Kevlar - layed up over a foam interior which acted as an internal support. The laminate skin of the wing extension was designed from strength requirements, and the foam core was included to prevent buckling. A joint lap was recommended to attach the wing extension to the main wing structure

    Structured Near-Optimal Channel-Adapted Quantum Error Correction

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    We present a class of numerical algorithms which adapt a quantum error correction scheme to a channel model. Given an encoding and a channel model, it was previously shown that the quantum operation that maximizes the average entanglement fidelity may be calculated by a semidefinite program (SDP), which is a convex optimization. While optimal, this recovery operation is computationally difficult for long codes. Furthermore, the optimal recovery operation has no structure beyond the completely positive trace preserving (CPTP) constraint. We derive methods to generate structured channel-adapted error recovery operations. Specifically, each recovery operation begins with a projective error syndrome measurement. The algorithms to compute the structured recovery operations are more scalable than the SDP and yield recovery operations with an intuitive physical form. Using Lagrange duality, we derive performance bounds to certify near-optimality.Comment: 18 pages, 13 figures Update: typos corrected in Appendi

    Madonna Study Group, Whole No. 1

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    https://ecommons.udayton.edu/imri_marian_philatelist/1000/thumbnail.jp

    The Marian Philatelist, Whole No. 35

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    https://ecommons.udayton.edu/imri_marian_philatelist/1034/thumbnail.jp

    Madonna Study Group, Whole No. 2

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    https://ecommons.udayton.edu/imri_marian_philatelist/1001/thumbnail.jp

    The Marian Philatelist, Whole No. 34

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    https://ecommons.udayton.edu/imri_marian_philatelist/1033/thumbnail.jp

    The Marian Philatelist, Whole No. 43

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    https://ecommons.udayton.edu/imri_marian_philatelist/1042/thumbnail.jp

    The Marian Philatelist, Whole No. 39

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    https://ecommons.udayton.edu/imri_marian_philatelist/1038/thumbnail.jp

    Marian Philatelic Study Group of Coros, Whole No. 9

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    https://ecommons.udayton.edu/imri_marian_philatelist/1008/thumbnail.jp
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