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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 8. Отображено 8.
29-08-2023 дата публикации

High-quality and high-efficiency harvesting equipment and harvesting method for pilose antler mushrooms

Номер: CN116649161A
Автор: ZHOU KAI, CAI HUIYAN, WU YANQIANG, ZHOU SHUN, LIU ZONGTIAN, HOU JIALIN
Принадлежит:

The invention relates to a high-quality and high-efficiency harvesting device and method for pilose antler mushrooms, and the device comprises a roller type conveying and limiting platform which is used for conveying a pilose antler mushroom basket with pilose antler mushroom cultivation bottles to a root cutting position and limiting the pilose antler mushroom basket; the adjustable root cutting platform is used for cutting the roots of the pilose antler mushrooms in the pilose antler mushroom cultivation bottle at the root cutting position; the flexible bionic supporting and taking mechanism is mounted on the mechanical arm and used for supporting and taking the cut velvet antler mushrooms and then placing the velvet antler mushrooms on the velvet antler mushroom conveying platform; according to the bottle-cultivation velvet antler mushroom root cutting machine, integrated operation of intermittent accurate conveying and positioning of bottle-cultivation velvet antler mushroom baskets ...

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Номер записи: 1
09-06-2010 дата публикации

Method for computing importance degree of events in text set

Номер: CN0101727437A
Автор: FU JIANFENG, LIU WEI, LIU ZONGTIAN, ZHONG ZHAOMAN, ZHOU WEN, JIANFENG FU, WEI LIU, ZONGTIAN LIU, ZHAOMAN ZHONG, WEN ZHOU
Принадлежит:

The invention discloses a method for computing an importance degree of events in a text set. The method is characterized by comprising the following steps: firstly, identifying all events from the text set, wherein the all events form an event set E; secondly, computing influence factors between each two events according to the probability that one event leads to another event; thirdly, constructing an influence factor matrix according to the influence factors between the events in pairs; and finally, iteratively computing the importance degree of each event in the influence factor matrix by a link analysis algorithm. The method constructs the influence factor matrix between the events to describe the association strength between the events in the text set, and provides the link analysis algorithm which takes an Authorities valve and a Hubs valve of the event comprehensively into consideration according to the characteristics of bidirectionality and nonsymmetry of the influence factors ...

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Номер записи: 2
06-10-2010 дата публикации

Event-oriented query expansion method

Номер: CN0101853298A
Автор: ZONGTIAN LIU, ZHAOMAN ZHONG, WEN ZHOU, LIU ZONGTIAN, ZHONG ZHAOMAN, ZHOU WEN
Принадлежит:

The invention discloses an event-oriented query expansion method, which comprises the following steps of: (1) inputting a query content and acquiring a local text set N; (2) identifying from the set N to acquire an event set E; (3) distinguishing an event item Qe and a limiting item Qe' respectively from query items; (4) calculating the association intensity of the event item Qe of the query items with each event in the set E, and selecting a plurality of events with high association intensity from the set E and adding the events into the Qe for expanding to acquire the expanded event item; and (5) calculating the similarity of the expanded event item and one text d in a set M, calculating the similarity Sim (Qe', d) of the limiting item Qe' and the text d in the set M, calculating to acquire the similarity Sim (Qexp, d) of the Qexp and the text d in the set M, and outputting retrieve texts according to the descending sort of the Sim (Qexp, d). In the method, the event item and the limiting ...

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Номер записи: 3
21-07-2010 дата публикации

Chinese corpus labeling method based on events

Номер: CN0101782897A
Автор: FU JIANFENG, LIU WEI, LIU ZONGTIAN, ZHOU WEN, ZHU SHASHA, JIANFENG FU, WEI LIU, ZONGTIAN LIU, WEN ZHOU, SHASHA ZHU
Принадлежит:

The invention discloses a Chinese corpus labeling method based on events, comprising the following specific steps of: (1) step of corpus collecting: collecting raw corpus from internet; (2) step of text preprocessing step: carrying out preprocesses of sentence fragment and segmentation on the raw corpus; (3) step of text analyzing: carrying out the syntactic analysis and the semantic analysis on the preprocessed corpus; (4) step of event labeling: labeling event indication words and event elements in the analyzed text; and (5) step of consistency checking: checking the consistency among different labeled versions of the corpus to guarantee the quality of corpus labeling. In the method, all events in the corpus are labeled, and excellent coverage is achieved; the syntactic analysis and the semantic analysis are carried out on the preprocessed Chinese corpus, the corpus is labeled according to the analyzed results, and the method accords with the characteristics of Chinese; in addition, in ...

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Номер записи: 4
26-01-2011 дата публикации

Verb semantic information extracting method based on event ontology

Номер: CN0101957812A
Автор: SUN RONG, LIU ZONGTIAN, WANG XIANCHUAN, RONG SUN, ZONGTIAN LIU, XIANCHUAN WANG
Принадлежит:

The invention relates to a verb semantic information extracting method based on an event ontology. The verb semantic information extracting method comprises the following steps of: firstly obtaining a sentence element array A according to an input sentence; extracting verb roles from the sentence element array A by utilizing role extraction rules; then determining verb meaning according to the method that the verbs and the verb roles are matched with verb concepts; and then extracting the time information and tense information of rule identifying verbs according to time tense; and finally generating verb semantic information according to the verb roles, the verb meaning and the verb time tense information. Because the invention is based on the event ontology, the accuracy rate for identifying the verbs is improved through the method of matching the verbs and the verb roles; because rich verb semantic information is generated through the verb meaning information, the time tense information ...

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Номер записи: 5
15-08-2012 дата публикации

Event-oriented query expansion method

Номер: CN0101853298B
Автор: ZONGTIAN LIU, ZHAOMAN ZHONG, WEN ZHOU, LIU ZONGTIAN, ZHONG ZHAOMAN, ZHOU WEN
Принадлежит:

The invention discloses an event-oriented query expansion method, which comprises the following steps of: (1) inputting a query content and acquiring a local text set N; (2) identifying from the set N to acquire an event set E; (3) distinguishing an event item Qe and a limiting item Qe' respectively from query items; (4) calculating the association intensity of the event item Qe of the query items with each event in the set E, and selecting a plurality of events with high association intensity from the set E and adding the events into the Qe for expanding to acquire the expanded event item; and (5) calculating the similarity of the expanded event item and one text d in a set M, calculating the similarity Sim (Qe', d) of the limiting item Qe' and the text d in the set M, calculating to acquire the similarity Sim (Qexp, d) of the Qexp and the text d in the set M, and outputting retrieve texts according to the descending sort of the Sim (Qexp, d). In the method, the event item and the limiting ...

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Номер записи: 6
17-08-2011 дата публикации

Plant identification method based on cloud model and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method

Номер: CN0102156710A
Автор: LIN PENG, ZONGTIAN LIU, LINNAN YANG, FEI ZHONG, PENG LIN, LIU ZONGTIAN, YANG LINNAN, ZHONG FEI
Принадлежит:

The invention relates to a plant identification method based on a cloud model and a TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. The method comprises the following steps: constructing a plant shape feature specimen database; utilizing a trapezium-cloud model to compare the shape features of a plant to be identified with the plant shape feature specimen database to acquire a comparative membership between the plant to be identified and the shape feature specimen database, thus completing the primary identification of the plant to be identified; when a plurality of identification results exist, utilizing a normal cloud model to carry out accurate matching calculation on the retrieval results so as to acquire a comparative accurate membership between the plant to be identified and the shape feature specimen database; and comprehensively evaluating the membership by utilizing the TOPSIS method to identify the plant. The method can comprehensively evaluate ...

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Номер записи: 7
24-08-2011 дата публикации

Method for predicting emergence size of crop pests based on BP (back propagation) artificial neural network

Номер: CN0102163301A
Автор: PENG LIN, LIU ZONGTIAN, YANG LINNAN, ZHONG FEI, ZHU PING, LIN PENG, ZONGTIAN LIU, LINNAN YANG, FEI ZHONG, PING ZHU
Принадлежит:

The invention discloses a method for predicting the emergence size of crop pests based on a BP (back propagation) artificial neural network, comprising the following steps of: (1) acquiring raw data of the emergence size of the crop pests to be predicted and the raw data of impact factors influencing emergence of the crop pests; (2) calculating the degree of association between the raw data, and removing data with big differences; (3) calculating the cumulative percent of the impact factors influencing the emergence of the crop pests; and (4) predicting the emergence size of the crop pests by utilizing the BP artificial neural network. In the method, the raw data of the emergence size of the crop pests are processed by adopting a gray relation analysis method, error data are removed, and the stability and accuracy of a prediction model can be guaranteed; and the number of input factors of the BP artificial neural network is reduced by utilizing a principal component analysis method, thus ...

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Номер записи: 8