Abstract: The present disclosure provides a method and device for intelligent control of heating furnace combustion based on a big data cloud platform, which relates to the technical field of artificial intelligence control. The method includes: construction of big data cloud platform based on production and operation parameters of the heating furnace; identification of key factors in the production process of the heating furnace by using big data mining technology; independent deployment of traditional heating furnace combustion control systems based on the mechanism model; and integration of cloud platform big data expert knowledge base and the heating furnace combustion intelligent control system.

Abstract: The present invention belongs to the technical field of mobile transformer substation, and in particular relates to a vehicle-mounted mobile transformer with a position-adjustable lead-out bushing.

Abstract: In some embodiments, a method receives a time period in which video files will be delivered through a plurality of nodes. The method determines a plurality of user accounts that may use a video delivery system to deliver the video files in the time period; generates probabilities of which nodes may be used for each of the plurality of user accounts in the time period; and generates probabilities of which video files may be accessed by each of the plurality of user accounts. A list of video files is generated for a node based on the probabilities of which video files may be accessed and the probabilities of which nodes may be used for each of the plurality of user accounts. The method causes at least a portion of the list of video files for the node to be stored on the node.

Abstract: In some embodiments, a method receives a first set of video files at a node that delivers video files to client devices and receives a second set of video files. The second set of video files are predicted to be delivered by the node to a client device during a time period. The node receives a request for a video file from a client device and determines whether the video file is stored in the first set of video files and the second set of video files. When the video file is stored at the node, the node sends the video file from the first set of video files and the second set of video files. When the video file is not stored in the first set of video files and the second set of video files, the node sends a request for the video file to another node.

Abstract: In some embodiments, a method selects a sequence of programs watched by a user account. The method calculates a first set of weights based on comparing content of the sequence of programs to content of a target program and calculates a second set of weights based on an order of the sequence of the programs and the first of weights. The first set of weights and the second set of weights are applied to the sequence of programs to generate a prediction of a similarity of the sequence of programs to the target program. Then, the method outputs the prediction of the similarity for use in determining a recommendation for the user account.

Abstract: In some embodiments, a method selects a sequence of programs watched by a user account. The method calculates a first set of weights based on comparing content of the sequence of programs to content of a target program and calculates a second set of weights based on an order of the sequence of the programs and the first of weights. The first set of weights and the second set of weights are applied to the sequence of programs to generate a prediction of a similarity of the sequence of programs to the target program. Then, the method outputs the prediction of the similarity for use in determining a recommendation for the user account.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for image-guided velocity interpolation using a mask cube. One computer-implemented method includes generating a 3D array of velocities, generating a mask for the 3D array of velocities, each value in the 3D array of velocities associated with a corresponding value in the mask, calculating a 3D array of diffused velocities by applying structure oriented smoothing to the 3D array of velocities, calculating a diffused mask by applying the structure oriented smoothing to the mask, and calculating interpolated velocity values based on the 3D array of diffused velocities and the diffused mask.

Abstract: The present invention belongs to the technical field of mobile transformer substation, and in particular relates to a vehicle-mounted mobile transformer with a position-adjustable lead-out bushing.

Abstract: In some embodiments, a method receives a first set of video files at a node that delivers video files to client devices and receives a second set of video files. The second set of video files are predicted to be delivered by the node to a client device during a time period. The node receives a request for a video file from a client device and determines whether the video file is stored in the first set of video files and the second set of video files. When the video file is stored at the node, the node sends the video file from the first set of video files and the second set of video files. When the video file is not stored in the first set of video files and the second set of video files, the node sends a request for the video file to another node.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for removing false image in reverse time migration (RTM). One computer-implemented method includes dividing volume of a source wavefield and a receiver wavefield into a plurality of windows, calculating a down-going component of the source wavefield and an up-going component of the receiver wavefield for each window in the plurality of windows and at a particular value of time, calculating a down-going component of the source wavefield at the particular value of time by summing the down-going component of the source wavefield in each window of the plurality of windows, and calculating an up-going component of the receiver wavefield at the particular value of time by summing the up-going component of the receiver wavefield in each window of the plurality of windows.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for removing false image in reverse time migration (RTM). One computer-implemented method includes dividing volume of a source wavefield and a receiver wavefield into a plurality of windows, calculating a down-going component of the source wavefield and an up-going component of the receiver wavefield for each window in the plurality of windows and at a particular value of time, calculating a down-going component of the source wavefield at the particular value of time by summing the down-going component of the source wavefield in each window of the plurality of windows, and calculating an up-going component of the receiver wavefield at the particular value of time by summing the up-going component of the receiver wavefield in each window of the plurality of windows.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for image-guided velocity interpolation using a mask cube. One computer-implemented method includes generating a 3D array of velocities, generating a mask for the 3D array of velocities, each value in the 3D array of velocities associated with a corresponding value in the mask, calculating a 3D array of diffused velocities by applying structure oriented smoothing to the 3D array of velocities, calculating a diffused mask by applying the structure oriented smoothing to the mask, and calculating interpolated velocity values based on the 3D array of diffused velocities and the diffused mask.