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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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Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 2. Отображено 2.
23-06-2023 дата публикации

Joint optimization method of energy management and network performance for smart clothing

Номер: CN116321040A
Принадлежит:

The invention discloses a joint optimization method of energy management and network performance for smart clothing. An energy-saving scheme and an energy collection scheme are combined, the energy efficiency of the device is improved, and on the other hand, the wireless network service quality and the long-time endurance availability of the intelligent clothing are balanced through the working duty ratio self-adaptive adjustment technology of the sensing nodes in the intelligent clothing. Specifically, in various human body posture transfer states, system energy consumption and battery discharge loss under mixed energy harvesting and clamping are considered, and path loss and time delay in different postures are calculated for wireless network service quality. According to the method, the joint optimization problem that path loss, energy consumption, time delay and battery loss are combined into a whole under typical human body postures is explored for the first time, and an effective ...

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21-07-2023 дата публикации

Wireless textile body area network energy neutral operation method based on deep reinforcement learning

Номер: CN116470598A
Принадлежит:

The invention relates to a wireless textile body area network energy neutral operation method based on deep reinforcement learning, and the method comprises the steps: building a multi-attitude wireless textile body area network model which is powered by mixed energy, and coping with the energy limitation challenge of a network through capturing the mixed electric energy of friction electric energy and radio frequency energy; in consideration of the correlation between energy collection and energy consumption, dynamic balance of energy in a dynamic scene is realized by dynamically adjusting a node duty ratio; for the particularity of a wireless textile body area network in an actual application scene, posture variability is taken into consideration, and key performance indexes such as energy consumption, delay and throughput of equipment under five typical daily behaviors are analyzed and evaluated; based on two reinforcement learning algorithms, an optimization problem of realizing system ...

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