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40results about How to "Troubleshoot technical issues with low accuracy" patented technology

Method and device for researching near-surface three-dimensional velocity field of physical geography

The invention provides a method and device for researching a near-surface three-dimensional velocity field of physical geography. The method comprises the steps of obtaining geological information of a research area according to the areal geology of the research area and research content; establishing a three-dimensional geological element conceptual model according to collected data; determining the preliminary survey position of a near-surface survey and a near-surface preliminary survey scheme, carrying out construction according to the determined preliminary survey position of the near-surface survey and the determined near-surface preliminary survey scheme, and obtaining site construction data; adjusting the three-dimensional geological element conceptual model according to the obtained site construction data until the geological elements in the three-dimensional geological element conceptual model are adaptive to wave velocity; establishing a geology and speed field model with the surficial geology coordinated with wave velocity layers on the basis of the three-dimensional geological element conceptual model with the geological elements adaptive to the wave velocity. According to the method and device for researching the near-surface three-dimensional velocity field of physical geography, the technical problem that in the prior art, a near-surface velocity model is not accurate is solved, and the effect of effectively improving the accuracy of the near-surface velocity model is achieved.
Owner:PETROCHINA CO LTD

Method and device for controlling follow of unmanned aerial vehicle

The embodiment of the invention provides a method and device for controlling follow of an unmanned aerial vehicle. The control method comprises the steps that basic category information of a basic target object is acquired; whether or not the target object is a standard target object needing to be followed is judged; if yes, the basic target object is marked as the standard target object, and according to a primary navigation signal of the standard target object, the unmanned aerial vehicle is controlled to fly to the position indicated by the navigation signal; an image of a preset range corresponding to the indicated position is acquired; whether or not the target object is contained in the image is judged, and if yes, the current display position of the target object in the image is acquired; and when the current display position is different from the preset display position, control parameters of the unmanned aerial vehicle are adjusted according to relative position information ofthe current display position and the preset display position to enable the display position of the target object to keep at the preset display position. According to the method and device, the technical advantage of precisely following the target object is achieved.
Owner:EWATT TECH CO LTD

Object-level sentiment classification method based on segmented convolutional neural network

The invention discloses an object-level sentiment classification method based on a segmented convolutional neural network, and the method comprises the steps: carrying out the feature extraction of ato-be-classified text, and carrying out the context feature division of the to-be-classified text, and obtaining a first text-above feature and a first text-below feature; inputting the data into a preset segmented convolutional neural network; carrying out the convolution operation on the convolution layer to obtain local features of the preceding text and the following text; enabling the segmented pooling layer to perform maximum pooling operation on the local features of the preceding text and the following text to obtain the pooling features of the preceding text and the following text; enabling the feature fusion layer to perform feature fusion on the pooling features of the preceding text and the following text and the attention feature representation extracted by the attention module; enabling a softmax layer to process the fused features; and outputting sentiment classification results. According to the invention, the technical problems that the context feature with finer granularity cannot be obtained, and the emotion classification result accuracy is not high due to the facts that the existing emotion classification method does not consider the influence of the context divided by the object on the classification effect, and the maximum pooling operation is generally adopted in the pooling layer of the convolutional neural network.
Owner:SOUTH CHINA NORMAL UNIVERSITY

Branch horizontal well deployment method and device

The invention provides a branch horizontal well deployment method and device. the method comprises the steps that the drilled vertical well position, the position of a main horizontal section of a branch horizontal well and the position of a branch horizontal section of the branch horizontal well within a work area where a to-be-deployed branch horizontal well is located are obtained; the positions of a primary virtual well and a secondary virtual well are determined; according to the drilled vertical well oil reservoir section, the oil reservoir section of the primary virtual well is determined; according to the drilled vertical well oil reservoir section and / or the primary virtual well oil reservoir section, the oil reservoir section of the secondary virtual well is determined; according to the primary virtual well oil reservoir section, the main horizontal section oil reservoir section is determined; according to the secondary virtual well oil reservoir section, the branch horizontal well oil reservoir section is determined; and according to the main horizontal section oil reservoir section and the branch horizontal well oil reservoir section, the branch horizontal well is deployed. According to the branch horizontal well deployment method and device, the technical problem that accuracy for determining the branch horizontal well oil reservoir section is low due to the fact that existing drilled wells are few is solved.
Owner:PETROCHINA CO LTD

User film watching information prediction method and device, equipment and storage medium

The invention discloses a user film-watching information prediction method and device, equipment and a storage medium, and the method comprises the steps: obtaining a dimension value corresponding to a preset user film-watching evaluation dimension of each day within a preset number of days, and determining a preset time attenuation weight factor and a preset holiday weight factor corresponding to the preset user film-watching evaluation dimension; according to the obtained dimension values and weight factors, view evaluation indexes corresponding to different time periods in the preset number of days are determined; inputting the film watching evaluation indexes corresponding to different time periods into a pre-trained full-connection neural network to obtain a film watching score corresponding to a preset number of days; and predicting a film watching probability and a loss probability of the user according to the film watching score. According to the method, the user loss probability can be accurately reflected through the user film watching probability, then different user groups are accurately classified based on the user loss probability, and guidance and basis are provided for user retention and activity promotion through a refined and targeted marketing strategy.
Owner:深圳市傲天科技股份有限公司

Target information identification method, device and equipment, readable storage medium and product

The invention provides a target information identification method and device, equipment, a readable storage medium and a product, and relates to NLP in artificial intelligence. According to the specific implementation scheme, an identification request is obtained, and the identification request comprises a privacy policy file to be identified; according to the recognition request, the privacy policy file to be recognized is compared with a preset target information word list, an intersection vocabulary set of the privacy policy file to be recognized and the target information word list is determined, the target information word list comprises standard target information vocabularies meeting preset regulations, and the target information word list comprises the standard target information vocabularies meeting the preset regulations; the non-standard target information vocabularies do not accord with preset regulations; and determining vocabularies in the intersection vocabulary set as target information corresponding to the privacy policy file to be identified. Therefore, the identification operation of the target information which accords with the preset regulation and does not accord with the preset regulation in the privacy policy file to be identified can be quickly realized, and the efficiency and accuracy of target information identification are improved.
Owner:BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD

A method and device for evaluating the health status of pole-mounted switch complete sets of equipment based on a hybrid intelligent algorithm

The invention discloses a method and device for evaluating the health state of a complete set of switch equipment on a pole based on a hybrid intelligent algorithm. The method includes: first collecting sample data of the complete set of switch equipment on a pole, wherein the sample data includes the complete set of switch equipment on a pole Online operation information, offline information, script information, and historical fault information; then transform and clean the collected sample data; then use the transformed and cleaned sample data as training data to establish a single intelligent algorithm health status of SVR, BPNN, and ELM Evaluation model, and based on the prediction results of each single intelligent algorithm health status assessment model, a hybrid intelligent algorithm health status assessment model is established; finally, the hybrid intelligent algorithm health status assessment model is used to evaluate the status of the equipment to be evaluated. The invention can improve the calculation efficiency on the basis of ensuring the objectivity and accuracy of the model, and improve the scientificity and rationality of the health state evaluation of the complete switch equipment on the pole.
Owner:WUHAN UNIV OF TECH
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