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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 7. Отображено 7.
22-08-2023 дата публикации

Improved Runge-Kutta optimization algorithm

Номер: CN116629306A
Автор: WANG YUZHE, LIU FEIYU, CAO GANG, DUAN XIAODONG, FU MENG
Принадлежит:

An improved Runge-Kutta optimization algorithm belongs to the technical field of AGV robots, and comprises the following steps: S1, initialization operation: setting an initial population to be evolved within an allowable number of iterations; s2, introducing Circle chaotic mapping; s3, a Circle chaotic mapping expression is improved; s4, searching a decision space by using a group of random solutions under a search mechanism; s5, a position updating mechanism; s6, generating a new solution by adopting a solution quality enhancement method so as to prevent each iteration from falling into local optimum; and S7, iterating repeatedly until the function obtains an optimal value. The improved RUN algorithm is provided based on the original RUN, the blindness of the population can be improved when the IRUN initializes the population, the positions of solution individuals are more uniformly distributed in the search space, and the convergence speed and the optimization precision are improved.

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Номер записи: 1
22-08-2023 дата публикации

Method for detecting target object grabbed by mechanical arm based on improved YOLOv5 algorithm

Номер: CN116630602A
Автор: WANG YUZHE, CAO GANG, LIU FEIYU, DUAN XIAODONG, FU MENG
Принадлежит:

A method for detecting target object grabbed by a mechanical arm based on an improved YOLOv5 algorithm belongs to the technical field of image recognition, and comprises the steps of S1, acquiring a data set and performing data preprocessing, S2, improving an existing YOLOv5 network, S21, establishing a space-coordinate attention mechanism SCAA, realizing accurate positioning of a target object and local feature information, and obtaining a target object grabbed by a mechanical arm under the inspiration of a convolution attention mechanism CBAM. Combining the spatial attention mechanism SA and the coordinate attention mechanism CA; s22, a multi-scale feature fusion network is adopted, a Neck structure of YOLOv5 adopts a mode of combining FPN and PANeT, and a YOLOv5 algorithm model network is improved; s23, anchor frame parameters are optimized, YOLOv5 adopts an adaptive anchor frame to automatically learn training data, and a Kmeans clustering algorithm is used to automatically calculate ...

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Номер записи: 2
16-05-2023 дата публикации

Nanocomposite for enhancing apple alternaria leaf spot resistance and application thereof

Номер: CN116121252A
Автор: ZHANG QIULEI, LIU FEIYU, LI TIANZHONG
Принадлежит:

The invention relates to a nano-composite for enhancing apple alternaria leaf spot resistance and application of the nano-composite. New 5 'tsRNA is obtained by comparing expression differences of tsRNA before and after inoculation of apple alternaria leaf spot ALT1, and the new 5' tsRNA is named as mdm-tsRMet. The expression of the mdm-tsRMet is up-regulated after the ALT1 is inoculated, and the anti-disease gene MdSTK1 is cut, so that the resistance of apples to alternaria leaf spot is reduced. By designing a silence sequence of mdm-tsRMet and further combining with magnetic nanoparticles, the mdm-tsRMet is delivered into an apple body to silence up-regulated expressed mdm-tsRMet and enhance the resistance of the apple to ALT1.

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Номер записи: 3
27-06-2023 дата публикации

Simulation method, device and equipment for free joint bidding of power generators

Номер: CN116341374A
Автор: LIANG XIAO, WANG ZHENGFENG, WANG JIWEN, GAO WEIHENG, ZHAO FULIN, LUAN XICHEN, LIU FEIYU, WANG BEIBEI
Принадлежит:

The invention discloses an analog simulation method, device and equipment for free joint bidding of power generators, and relates to the technical field of joint bidding simulation of market members on the power generation side in the power market. According to the method, modeling is carried out on behaviors of selecting collusion objects and strategy bidding by power generation provider agents; and secondly, a competition depth Q network algorithm (DuelingDeep QNetwork, DuelingDQN) and a flexible decision-evaluation algorithm (SoftActorCritic, SAC) are combined to form a two-stage solving algorithm to solve the discrete and continuous mixed decision amount in the model, and the discrete and continuous mixed decision amount in the model is calculated by using the two-stage solving algorithm. According to the method provided by the invention, the free joint bidding behavior possibly occurring in the long-term market clearing process of the market subject can be simulated under the condition ...

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Номер записи: 4
07-07-2023 дата публикации

New energy robust bidding implementation method, device and equipment

Номер: CN116402595A
Автор: WANG BEIBEI, LIU FEIYU
Принадлежит:

The invention discloses a new energy robust bidding implementation method, device and equipment, and relates to the technical field of electric power, and the method comprises the following steps: receiving an income and deviation assessment item of a new energy unit participating in a day-ahead electric power market, and calculating the income and deviation assessment item of the new energy unit participating in the day-ahead electric power market; obtaining a robust bidding model of the new energy unit under the consideration of the deviation assessment mechanism; generating a new energy bidding agent by combining a flexible decision evaluation algorithm SAC and a conditional value at risk CVaR, and simulating the new energy unit robust bidding model under the consideration of the deviation assessment mechanism by using the new energy bidding agent to obtain a new energy robust bidding result; the robustness of the bidding strategy given by the algorithm under the actual clearing condition ...

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Номер записи: 5
14-04-2023 дата публикации

Table tennis serving machine

Номер: CN115957496A
Автор: WANG YUZHE, SUN ZHAOLONG, DUAN XIAODONG, LIU BAIYU, LIU FEIYU, CAO GANG, ZHANG HAOTIAN, TANG YULONG, CAI CHANGRONG, YU MEIQI
Принадлежит:

A table tennis serving machine belongs to the technical field of sports equipment, and comprises a ball storage and transportation mechanism, a lifting mechanism, a horizontal rotating mechanism, a pitching mechanism, a serving rotating direction rotating mechanism and a serving mechanism, the lifting mechanism is arranged on the ball storage and transportation mechanism, and the lifting mechanism is connected with the pitching mechanism through the horizontal rotating mechanism; and the pitching mechanism is connected with the launching mechanism through the pitching rotation direction rotating mechanism. According to the table tennis ball serving device, the ball serving angle can be adjusted, the ball serving direction can also be adjusted, a plurality of table tennis balls are placed in the ball entering cylinder, and the device can serve balls continuously at time intervals.

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Номер записи: 6
25-08-2023 дата публикации

Water chilling unit sensor fault diagnosis method based on LSTM with optimized input characteristic parameters

Номер: CN116644354A
Автор: LIU FEIYU, WANG YUZHE, CAO GANG, DUAN XIAODONG, TANG YULONG
Принадлежит:

A water chilling unit sensor fault diagnosis method based on LSTM with optimized input characteristic parameters belongs to the technical field of water chilling unit sensor fault diagnosis in a heating, ventilation and air conditioning system, uses a constructed LSTM network model to carry out fault diagnosis, and judges whether the model can be used for water chilling unit sensor fault diagnosis; according to the method, the correlation between the input characteristic variables is analyzed by using the Pearson's correlation coefficient, and the input of the LSTM network is optimized, so that the main limitation existing on the basis of expert rules and a support vector machine at present is overcome. According to the method for optimizing the input parameters, the influence of irrelevant or weak correlation variables is reduced, and the fault diagnosis precision is further improved. And by using the LSTM neural network, the dependence on expert knowledge is reduced. Therefore, the main ...

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Номер записи: 7