Abstract: Disclosed is a pollen control dry pollination machine for Abies ziyuanensis, comprising a lever; a side of a top of the lever is fixedly connected with one end of a square tube; another end of the square tube is rotatably connected with a pollination shell; a top of the square tube and a top of the pollination shell are slidably connected with a fan; the pollination shell is internally provided with a pollen box, a pollen outlet cover and a pollination chamber from a top to a bottom in sequence; the pollen box is communicated with the pollen outlet cover; a bottom of the pollination chamber is provided with an opening; an Abies ziyuanensis ovulate strobilus to be pollinated is placed in the pollination chamber; a bottom of the pollination shell is fixedly connected with a rotating opening; the lever is provided with a switch.

Abstract: The present invention relates to a learning-oriented transferable automatic driving method and system driven by a world model. The method includes the following steps: constructing a simulation environment; collecting a large batch of data in the simulation environment, and collecting a small batch of data in the real environment; constructing a world model, and performing model training in the simulation environment by using the large batch of data, wherein the world model takes a camera image as an input to model an environment by using a generative world model; storing and transmitting historical moment information by hidden variables, and outputting an aerial view and a control instruction; and performing domain adaptive transferring training in the real environment on the basis of the small batch of data, and deploying the model in an autonomous vehicle in the real world to achieve virtuality-to-reality transferring general integrated automatic driving.

Abstract: Embodiments of the present disclosure provide method, apparatus, electronic device and storage medium for video processing. The method for video processing comprises: obtaining a plurality of video frames in a video to be processed and audio data corresponding to the video to be processed; determining a target video frame comprising a target object from the plurality of video frames through an image-text matching model; determining a target audio segment matching the target object from the audio data; determining a target video segment comprising the target video frame from the video to be processed in the case that a video corresponding to the target audio segment comprises the target video frame.

Abstract: A distributed fiber optic sensing (DFOS) / distributed acoustic sensing (DAS) system and method employing a fiber optic sensor cable that collects vibrational data of individual utility poles suspending the fiber optic sensor cable and stores the vibrational data in a central office (CO). Machine learning (ML) models are developed, trained, and utilized to analyze vibrational features of the utility poles and determine their integrity. Additionally, DFOS / DAS systems and methods according to the present disclosure determine the location(s) of fiber coils that exist along a length of a fiber optic sensor cable.

Abstract: A distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) system and method employing a fiber optic sensor cable that collects vibrational data of individual utility poles suspending the fiber optic sensor cable and stores the vibrational data in a central office (CO). Machine learning (ML) models are developed, trained, and utilized to analyze vibrational features of the utility poles and determine their integrity. Additionally, DFOS/DAS systems and methods according to the present disclosure determine the location(s) of fiber coils that exist along a length of a fiber optic sensor cable.

Abstract: A device configured to perform data analytics comprising a memory and a processor may be configured to perform the techniques described in this disclosure. The memory may store multi-dimensional data. The processor may receive a sequence of inputs defining a recipe for analyzing the multi-dimensional data according to a language sub-surface specifying a natural language containment hierarchy defining a grammar for a natural language as a hierarchical arrangement of a plurality of language sub-surfaces. The processor may also receive data indicative of a summarized narration of the recipe and parameterize a field of the summarized narration to insert a user adjustable parameter that enables manipulation of the underlying recipe and obtain a parameterized summary that includes the user adjustable parameter. The processor may next present, via a first user interface, the parameterized summary.

Abstract: A device configured to perform data analytics comprising a memory and a processor may be configured to perform the techniques described in this disclosure. The memory may store multi-dimensional data. The processor may present, via a user interface, a graphical representation of a format for visually representing the multi-dimensional data. The processor may also receive, via the user interface, a selection of an aspect of one or more aspects of the graphical representation of the format. The processor may further receive, via the user interface and for the aspect of the one or more aspects of the graphical representation of the format for visually representing the multi-dimensional data, an indication of a dimension of the multi-dimensional data, and associate the dimension to the aspect to generate a visual representation of the multi-dimensional data. The processor may then present, via the user interface, the visual representation of the multi-dimensional data.

Abstract: In general, techniques are described for various aspects of accessing datasets. A device comprising a memory configured to store the dataset, and a processor may be configured to perform the techniques. The processor may expose a language sub-surface specifying a natural language containment hierarchy defining a grammar for a natural language as a hierarchical arrangement of a plurality of language sub-surfaces. The processor may receive a query to access the dataset, the query conforming to a portion of the natural language provided by the exposed language sub-surface. The processor may transform the query into one or more statements that conform to a formal syntax associated with the dataset, access, based on the one or more statements, the dataset to obtain a query result, and output the query result.

Abstract: In general, techniques are described for various aspects of accessing datasets. A device comprising a memory configured to store the multi-dimensional dataset; a processor may perform the techniques. The processor may apply a plurality of machine learning models to the multi-dimensional dataset to obtain a result output by each of the plurality of machine learning models. The processor may next determine a correlation of one or more dimensions of the multi-dimensional dataset to the results output by each of the machine learning models, and select, based on the correlation determined between the dimensions and the result output by each of the machine learning models, a subset of the plurality of machine learning models to obtain the result for each of the subset of the machine learning models. The processor may then output the result for each of the subset of the plurality of machine learning models.

Abstract: A system is described for providing search services over mobile messaging. The system may include a processor, a memory and an interface. The memory may store a search result and a mobile advertisement related to the search result. The mobile advertisement may include a link to a mobile web page related to the mobile advertisement. The interface may communicate with the device over a mobile messaging service. The processor may receive a first mobile message from the mobile device via the interface. The first mobile message may include a search query. The processor may retrieve the search result of the search query and may retrieve the mobile advertisement related to the search result. The processor may generate a second mobile message containing the search result and the mobile advertisement. The processor may provide the second mobile message to the mobile device via the interface.

Abstract: A method for reservation of sponsored search listing positions, including extending an offer to advertisers to purchase a fixed sponsored search listing position on a search results web page affiliated with a keyword, wherein a location of the fixed position is guaranteed to the advertisers for a fixed fee over a fixed duration during which the position will belong to a purchasing advertiser; reserving the fixed position related to the keyword for the fixed duration for an advertiser; receiving an advertisement from the advertiser to be positioned in the fixed position; storing the advertisement in a database; and serving the advertisement to the fixed position of the search results web page in response to a search query for the keyword each time the search query is executed for the keyword over a time period of the fixed duration.