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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.
14-04-2023 дата публикации

Ladder capable of being flexibly adjusted

Номер: CN115961876A
Принадлежит:

The ladder capable of being flexibly adjusted comprises an adjusting module, the adjusting module comprises a connecting assembly, a penetrating assembly and a traction assembly, the connecting assembly is movably connected with the penetrating assembly and the traction assembly, and the traction assembly is movably connected with a first positioning assembly through a linkage assembly; a fixed ladder; and a movable telescopic member. The connecting device capable of flexibly rotating is arranged and used for connecting the auxiliary telescopic assembly, so that the auxiliary telescopic assembly can freely rotate, the ladder can be flexibly used, a worker can stretch out and draw back the using length of one end of the ladder according to the actual using condition, and therefore the ladder can cope with the complex using environment; the auxiliary telescopic assembly at one end of the ladder can be wrenched, so that the distance between the two supporting ends of the ladder is changed, ...

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15-08-2023 дата публикации

Hybrid domain feature optimization-based power quality disturbance identification method

Номер: CN116595450A
Принадлежит:

The invention discloses an electric energy quality disturbance identification method based on mixed domain feature optimization, and relates to the field of electric energy quality disturbance detection. Electric energy quality disturbance signals are generated through simulation, and statistical feature subsets of the disturbance signals are extracted; performing S transformation on the power quality disturbance signal to obtain a modular matrix; extracting a time domain curve and a frequency domain curve from the modular matrix, and respectively extracting values from the time domain curve and the frequency domain curve to form a feature subset; constructing a high-dimensional feature complete set by the three feature subsets, and obtaining a low-dimensional optimal feature vector by adopting PSO (Particle Swarm Optimization); and inputting actual sampling data to extract optimal features, and carrying out classification identification on the power quality disturbance by adopting a KNN ...

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