30results about How to "Reduce human-computer interaction" patented technology

The application discloses a television channel supplement method and device. The television channel supplement method comprises the steps of storing the channel packets corresponding to the supplemented channels in a channel server, wherein the channel packets comprise the channel attribute information and the plug-in instances, and the plug-in instances are used to call a playing function of a television terminal to play the content of the supplemented channels; using the television terminal to download the channel packets corresponding to the supplemented channels from the channel server, analyzing the channel attribute information and the plug-in instances of the channel packets, and storing the channel attribute information and the plug-in instances; using the television terminal to generate a supplemented channel list according to the channel attribute information of the channel packets; after the television terminal receives the switching instructions of switching to the supplemented channels, reading the plug-in instances corresponding to the supplemented channels to which the switching instructions point, calling a local plug-in instance engine to operate the read plug-in instances, wherein the plug-in instances call the playing function of the television terminal to play the content of the supplemented channels. According to the present invention, the access efficiency of a television channel supplement service can be improved.

The invention discloses a preparation system of quick numerical control machining of complex parts of an airplane and a method. The system takes the existing CAD / CAM system as a platform, and comprises a technology resource and knowledge base management module, a quick blank generation module, a part classification and technical scheme analysis module, an automatic programming module, a quick tool generation module, a strain analysis and deformation control module, a front and rear process module and a technology data generation module. The system is built on the basis of a three-dimensional numeric part model, systematically and exactly embodies a specialized flow path for supporting the numerical control machining technology preparing and the programming of the complex parts of the airplane, can greatly reduce man-machine interaction operation required by preparing technology and programming, effectively solves the problems of the unstable programmed procedure and the unreasonable scheme design of the machining technology caused by the lack of the experience of process operators, and the like, can effectively control the deformation quantity during and after machining the parts,can obviously improve the efficiency and the quality of the numerical control machining preparing and the programming, and improves the professional level and the intelligence level of the CAD / CAM system.

This application discloses a data mining method and system for high-quality user-generated content (UGC), including: calculating the quality score of historical UGC published by each account and its correlation with various purposes, according to the quality score and correlation After receiving the newly published UGC of the high-quality account, calculate the quality score of the UGC and the correlation between the UGC and the category of the high-quality account that published the UGC ; Determine whether the quality score of the UGC is greater than the preset quality score threshold, and whether the correlation between the UGC and the category of the high-quality account that published the UGC is greater than the preset correlation threshold of the category, and if so, the The UGC is regarded as a high-quality UGC in the category of the high-quality account that published the UGC. Utilizing the present invention can improve the correlation between high-quality UGC and content concerned by target users and the category, and improve the real-time performance of high-quality UGC.

The invention belongs to the technical field of semiconductor defect detection and image processing, and specifically relates to a semiconductor automatic partition method based on panoramic segmentation. The method is based on a panoramic segmentation network. First, template data of several products are collected as training data for the panoramic segmentation network. The template data includes Template picture and mask picture; define the material in the mask picture as stuff, generate random-sized color blocks at any position on the template picture, and map the color blocks to the mask picture to define things; secondly, use the training data to train the panorama segmentation network, Get a panoramic segmentation network that can model automatic partitioning of semiconductors. The partition template can be obtained by inputting the partitioned picture into the panoramic segmentation network. This method can solve the problems of cumbersome parameter adjustment, weak structural adaptability, and time-consuming partitioning in traditional partitioning schemes.

The invention patent provides an intelligent planning method for a three-coordinate detection point of a complex curved surface component. Existing detection experiences are summarized, various typesof detection point planning methods are established, and the methods comprise a method of planning a detection point along a curved surface edge, a method of planning a detection point along a curvedsurface center line, a step of uniformly planning a detection point in a curved surface. The shape of the curved surface to be detected is divided into an annular surface, a round surface, a complex contour surface and a rectangular surface. A matrix algorithm is designed, by identifying the information of type and area of the curved surface, the detection point planning method and the curved surface are intelligently combined, an appropriate detection point planning method is selected for each curved surface, the layout parameters of a detection point are adaptively adjusted, and the detection point is automatically planned at the corresponding position. Compared with the prior art, the detection point planning is changed to the compliance with the standard or the specification from the compliance with an experience traditionally, a manual mode is changed to an automatic mode, the standardization and rationality of the detection point planning are improved, and the automation and intelligence of detection point planning are realized.

A method for operating menu items using an electronic device is provided. The electronic device includes a camera, a visual perception unit, a displaying unit, and a display screen. The displaying unit displays menu items on the display screen. The camera captures a visual image of the user's eyes when a user views one of the menu items. The visual perception unit obtains a visual focus position from the visual image by analyzing pixel values of the visual image, calculates a visual offset for calibrating visual focus position, and calibrates the visual focus position according to the calculated visual offset when the user views the menu item on the display screen.

The present application discloses a font design method, system, device, and computer-readable storage medium. The method includes: acquiring an image of a Chinese character to be designed in a source font; inputting the image of a Chinese character to be designed into a pre-trained font conversion model , to obtain the target font Chinese character image output by the font conversion model; wherein, the font conversion model is a model obtained by using training samples in advance to train an asymmetric Transfer network based on deep learning theory, wherein the training samples It includes the target font Chinese character image pre-designed by the font designer and the corresponding source font Chinese character image. Using the font design method of the present invention can effectively improve the universality of the font generation method, further significantly reduce the difficulty of font design, and at the same time greatly improve the efficiency of font design.

The present invention discloses a user generated content (UGC) contact prompting method and device. The method comprises analyzing UGC operation information posted by a specific user to obtain a contact having a specific relevance with the specific user to constitute a relevance chain, wherein the specific relevance comprises intimacy relevance, and the relevance chain includes an intimacy chain; after a contact prompting command of the specific user is received, searching for contact information matched with key words of the contact prompting command from the relevance chain of the specific user; and prompting the contact information searched from the relevance chain of the specific user on the interface of the specific user. With adoption of the method and the device, operating efficiency of searching a target contact may be raised, and corresponding machine resources and network bandwidth resources are saved.

The application discloses a multimedia communication system and method. The system includes a cross-application (APP) request module arranged in a source APP logged by a source account and used for triggering the source APP to send the source account, the name of a target APP, a target account and multimedia data to a transit server; and the transit server which includes a local source APP, a local target APP and a transit module. The local source APP is used for interacting with the source APP logged by the source account. The local target APP is used for interacting with the target APP logged by the target account. The transit module is used for forwarding multimedia data between the source APP and the target APP. Through use of the multimedia communication system and method, cross-APP multimedia communication can be realized and operation efficiency can be improved and the stability of a terminal operation system can be ensured.

The performance of a neural network (NN) and / or deep neural network (DNN) can be limited by the number of operations being performed as well as management of data among the various memory components of the NN / DNN. By inserting a selected padding in the input data to align the input data in memory, data read / writes can be optimized for processing by the NN / DNN thereby enhancing the overall performance of a NN / DNN. Operatively, an operations controller / iterator can generate one or more instructions that inserts the selected padding into the data. The data padding can be calculated using variouscharacteristics of the input data as well as the NN / DNN as well as characteristics of the cooperating memory components. Padding on the output data can be utilized to support the data alignment at thememory components and the cooperating processing units of the NN / DNN.

The invention relates to a Kinect-based image matting method. The method comprises steps: through OpenNI and OpenCV function libraries, the Kinect is used for photographing a target image, a color image and a deep image are obtained, and through a perspective conversion function in the OpenNI, the color image and the deep image are adjusted to be in the same perspective; with the help of the color image information, iterative image filtering is carried out on the deep image, and a foreground contour image is obtained; a ternary diagram is formed through a morphological corrosion expansion algorithm from the foreground contour image, and pixels in a given threshold range in the foreground contour image are defined as pixels in an unknown region; and a processing algorithm of removing slits and holes is carried out on the ternary diagram generated in the third step, and a final ternary diagram is generated. In comparison with the traditional image matting method, man-machine interaction in any form is saved, the Kinect is used for automatically generating the ternary diagram for image matting, and further in combination with the common sample point image matting algorithm, real-time image matting effects can be achieved.

The invention discloses an automatic monitored storage method of remote sensing data products based on a file transfer protocol (FTP) and an extensible markup language (XML). The automatic monitored storage method is used for replacing an ordinary manual storage method of the remote sensing data products, can achieve remote automatic monitoring discovering of the remote sensing data products, data content analyzing and data storing and reduces steps for manual processing and time compared with a manual storage method. NET, FTP, XML and other technologies are adopted as a basis for achieving automatic data monitoring and storage, five functional modules including a data monitoring module, a data content analyzing module, an FTP transferring module, a data information storage module and a journal recording module work synergistically to achieve automatic monitoring and storage of remote sensing data. The automatic monitored storage method of remote sensing data products based on the FTP and the XML is easy to achieve, effectively manages storage of the remote sensing data products, adopts computers for automatic processing in main processes, is less in man-machine interaction, improves work efficiency and is wide in application prospects in the field of remote sensing data products storage management.