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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Применить Всего найдено 2. Отображено 2.
02-06-2023 дата публикации

Fabricated bracket structure and low-carbon construction method of high-pier cast-in-place beam

Номер: CN116201017A
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The invention belongs to the technical field of bridge construction, and particularly relates to a low-carbon construction method for a fabricated bracket structure and a high-pier cast-in-place beam. For pier columns of cylindrical piers or rectangular hollow piers, vertical bearing force is provided for the whole construction platform in the mode that the hoop assemblies and the pre-buried climbing cones are matched with the brackets correspondingly, and bending stress of the assembly type bracket can be prevented through the mode that the bracket cross beams are connected with the hoop assemblies or the brackets through pin shafts. All components of the assembly type bracket bear axial stress, and the material strength of a construction platform is fully utilized. In the bracket structure, a pin shaft connection mode is adopted, and the position of a bracket inclined strut joint on a bracket cross beam can be adjusted according to actual construction conditions. After being used, the ...

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23-06-2023 дата публикации

Four-branch multi-source image block matching method based on scale separation metric learning

Номер: CN116310438A
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The invention relates to a four-branch multi-source image block matching method based on scale separation metric learning, and designs a high-precision multi-source image block matching network model SSML-QNet for the precision problem of multi-source image matching. A four-branch network formed by twinning and pseudo-twinning is used to extract common features and private features between cross-modal images. A scale separation metric learning module is designed to code different scale features, and cross-modal consistency features of each scale are extracted through coordinates and channel attention. And a multi-scale feature fusion module formed by coordinate attention and convolution is adopted to fuse features of different scales and predict a matching result. The precision of the method is obviously superior to that of an existing algorithm.

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