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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 3. Отображено 3.
18-04-2023 дата публикации

Digital twinning assisted edge computing resource allocation method

Номер: CN115983032A
Автор: QIU SHAOMING, ZHAO JIANCHENG, LYU YANA, DU XIULI
Принадлежит:

The invention discloses a digital twin-assisted edge computing resource allocation method, which relates to the technical field of edge computing resource allocation, and specifically comprises the following steps: initializing parameters of edge equipment and a computing task, encoding the initial parameters to generate a whale population, and setting basic parameters; performing greedy initialization on the whale group to generate a group of initial better solutions; if the iteration termination condition is met, the optimal whale individual is output, and the optimal computing resource allocation result is recorded. According to the digital twinning-assisted edge computing resource allocation method, the data transmission time and energy consumption are reduced through digital twinning-assisted edge computing resource allocation; aiming at the problem of slow early-stage convergence in a whale optimization algorithm for solving a digital twinning auxiliary edge computing resource allocation ...

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Номер записи: 1
01-08-2023 дата публикации

Calibration and school building site selection method based on graduatory fuzzy multi-attribute group decision

Номер: CN116523339A
Автор: DU XIULI, LU KUN, ZHOU RUI, LYU YANA, QIU SHAOMING, LIU QINGLI
Принадлежит:

The invention provides a graduatory fuzzy multi-attribute group decision-making school construction and site selection method, which comprises the following steps of: firstly, determining the proximity of experts and the corrected similarity according to a graduatory fuzzy decision matrix; then, integrating expert weights from two aspects of proximity and correction similarity to obtain an integrated comprehensive evaluation matrix; and finally, sorting the alternative schemes by using an approximate ideal solution sorting method, and selecting an optimal alternative place. According to the method, proximity indexes and nonlinear similarity correction of individual experts and other experts are introduced, so that the group expert weight is determined, the group comprehensive attribute value of the school establishment address is solved according to the expert weight, and the sorting result is given, so that the expert weight is more objective and reasonable and better meets the actual ...

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Номер записи: 2
29-08-2023 дата публикации

Network attack prediction method and device, computer equipment and storage medium

Номер: CN116668318A
Автор: QIU SHAOMING, WANG YAHUI, LYU YANA, CHEN FEN, ZHAO JIANCHENG
Принадлежит:

The invention discloses a network attack prediction method and device, computer equipment and a storage medium, and belongs to the technical field of network security, and the method comprises the steps: carrying out the preprocessing, time sequence modeling and data feature analysis of a network flow data set; dividing the network traffic data set into a normal traffic data set and an attack traffic data set according to network traffic; initializing parameters of the improved grey wolf algorithm; constructing a prediction model, and initializing parameters of the prediction model; obtaining an optimal grey wolf first candidate by using a GWO search strategy; using a DLH search strategy to obtain another candidate of the optimal grey wolf; selecting an optimal candidate item; updating Xi (t) by using the optimal candidate; judging whether iteration is carried out to the maximum number of iterations or not; and obtaining an optimal parameter combination of the prediction model and training ...

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Номер записи: 3