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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

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.
23-06-2023 дата публикации

Wet rale data comparison method and application thereof

Номер: CN116312648A
Принадлежит:

The invention provides a wet rale data comparison method. The wet rale data comparison method comprises the following steps: S1, taking wet rale subjected to auscultation labeling confirmation by a doctor, and segmenting the wet rale into a plurality of wet rale frequency segments; s2, segmenting a section of collected breath sound into a plurality of breath audio clips; s3, respectively segmenting all the wet rale audio segments and all the breath audio segments into eight small-segment signals, and then extracting absolute values, average values and variances of the eight small-segment signals and ratios of the absolute values, the average values and the variances to adjacent values of the average values; s4, performing Moses limit reaction test on all characteristic values of the wet rale audio clip and all characteristic values of the breath audio clip; and S5, judging whether the audio clip has the wet rale or not according to the number of the undifferentiated characteristic values ...

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01-08-2023 дата публикации

Real-time semantic segmentation method based on improved double-flow feature extraction network

Номер: CN116524190A
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According to the real-time semantic segmentation method based on the improved double-flow feature extraction network provided by the invention, the real-time semantic segmentation network is constructed to perform semantic segmentation on the to-be-processed image data, and the real-time semantic segmentation network is a double-flow feature extraction network; according to the method, the input end feature maps are respectively from three feature maps with different resolutions in semantic paths, so that repeated calculation can be avoided, the parameter quantity of the model can be reduced, the relevance of feature information among the paths can be deepened, and the network model has a better multi-scale feature information fusion effect. By designing a spatial feature information enhancement module and changing spatial path input feature information, optimization of a traditional double-flow feature extraction network is completed, it is ensured that sufficient spatial feature detail ...

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