48 results about "Copy paste" patented technology

The invention provides a cross-device data synchronization method and device. The cross-device data synchronization method and device are used for improving the success rate of cross-device copying and pasting. The method comprises: the first device sending a first broadcast message, the first broadcast message being used for indicating synchronization of first data, the first broadcast message comprising a first relative time, the first relative time being used for indicating a time when the first device copies to obtain the first data; and after receiving the first broadcast message, the second device synchronizes the first data from the first device based on the first relative time.

The invention provides a method for quickly copying a form based on a browser plug-in. The method is used for executing the following steps: a plug-in installation and activation step, a data source selection step, a data extraction step, a target page positioning step, a data matching and filling step and a data verification and adjustment step. According to the method, the problems that in the prior art, manual copying and pasting of the webpage table data are tedious in operation, low in efficiency and prone to errors can be solved, and therefore rapid, accurate and convenient webpage table data copying is achieved.

The invention provides a method for automatically compiling an assembly process procedure based on CATIA and EXCEL secondary development, and the method comprises the steps: building a standard part library, compiling a procedure template, determining process connection information, selecting drilling and connection working conditions, and finally compiling the procedure according to the determined drilling connection point information. According to the method, by specifying the part drawing number, automatically screening the drilling connection information related to the specified part in the mathematical model and automatically counting the number of the standard parts, the time for selecting, copying, pasting and sorting by technicians is saved, the problems of missing selection, wrong selection and wrong counting of the number of the standard parts are solved, the one-time passing rate of regulation compiling is increased, and the working efficiency is improved. Wait waste in the production process is avoided, and the assembly efficiency is improved.

The invention provides a table content processing method and electronic equipment, the method responds to a first selection operation for a target area of a table in a picture, a PDF, a webpage or a content extraction interface, target content in the table is selected, the target area is a partial area of the table, and the target content is all content of the target area; a starting cursor of the first selection operation is located in the Pth row and the Qth column of the table, an ending cursor is located in the Mth row and the Nth column of the table, the target area is from the Qth column to the Nth column from the Pth row to the Mth row of the table, and P and M are different; in response to the pasting operation after the first content in the table is copied, second content is displayed, the second content is obtained after text processing or table redrawing is conducted on the first content according to semantics of the first content, and the second content comprises the first content. According to the technical scheme provided by the invention, user requirements can be better met, and the experience of the user when the table content is utilized in a copying and pasting manner is improved.

The present application provides a cross-device data synchronization method and an apparatus, for use in improving the success rate of cross-device copying and pasting. The method comprises: a first apparatus sends a first broadcast message, the first broadcast message being used for indicating synchronization of first data, the first broadcast message comprising a first relative time, and the first relative time being used for indicating the time at which the first apparatus obtains the first data through copying; and upon receiving the first broadcast message, a second apparatus synchronizes the first data from the first apparatus on the basis of the first relative time.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate a modified digital image depicting a transparent object utilizing a transparency properties neural network. For example, the disclosed system accesses a trimap for a source digital image depicting a transparent object. The disclosed system utilizes the trimap of the source digital image and the source digital image to generate an alpha matte and a refractive flow. Specifically, the disclosed system generates the alpha matte and refractive flow by utilizing a transparency properties neural network. Furthermore, the disclosed system generates the modified digital image depicting the transparent object (from the source digital image) within a background of a target digital image, by modifying a portion of the background of a target digital image behind the transparent object utilizing the alpha matte and the refractive flow.

The invention provides a log analysis method based on an intelligent agent. In the method, firstly, a first command is received, and a first log is obtained based on the first command; secondly, on the basis of the context of the first log and the first cue word, a network object entity contained in the first log is recognized through a large model agent, the large model agent comprises a large model, and the large model is guided by a network object entity rule; the first prompt word is used for guiding the large model to identify the network object entity and the position thereof in the first log. Next, in response to a selection operation on a target network object entity, a second command is triggered, the target network object entity belongs to the network object entity contained in the first log, and the second command is generated through the large model agent according to the target network object entity, a second prompt word and a network object entity rule. Finally, a second log is obtained based on the second command. The method solves the problems that in traditional command operation, the information needs to be manually copied and pasted, a new command needs to be input, operation is tedious, and workflow is interrupted.

This invention discloses a context-based copy-paste data augmentation method, system, and storage medium for multi-class remote sensing target detection, belonging to the field of image processing and target detection technology. The method is implemented through the following steps: First, prepare a multi-class remote sensing dataset and set hyperparameters; second, generate copy regions of spatial context, using the DBSCAN clustering method to preserve target spatial context information; next, generate paste regions of semantic context, using a ResNet50 network to extract background feature vectors and match candidate paste regions; finally, perform the paste operation and update the annotation information. This invention generates copy regions through clustering, preserves spatial context, and matches paste regions based on semantic context, making the augmented image closer to the real image. It effectively alleviates the long-tail problem of datasets, enhances the network's learning balance, improves detection performance in low-sample classes and complex scenes, and can be seamlessly integrated with various remote sensing target detectors.

A method provides techniques for accidental copy-paste action prevention. The method includes obtaining, by a processor of an electronic device that includes a display and at least one input device, content selected via the at least one input device, from an application window that is rendered on the display. A source context from the selected content is determined. A paste operation that inserts the selected content into a communication window that is rendered on the display is detected. A destination context is determined, based at least in part on one or more participants in the communication window. A conflict between the source context and the destination context is identified. In response to identifying the conflict, a transmit option for forwarding the selected content via the communication window is suspended, preventing the information from being sent, and a context conflict alert is rendered on the display.

The invention provides a style processing method and device, electronic equipment and a storage medium, and the method comprises the steps: 1, responding to a triggering operation for a first content, displaying a straw assembly, displaying a corresponding straw indicator after the assembly is triggered, and executing a suction operation on a second content through the straw indicator, the target style of the second content can be applied to the first content; and 2, responding to a trigger operation for the first content carrying the content style to display a style copying component, copying the target style from the first content after triggering the component, then responding to a trigger operation for the second content to display a style pasting component, and triggering the component to apply the target style comprising at least one sub-style to the second content. According to the two methods, style reuse is achieved through the suction pipe assembly and the copying-pasting assembly, different interaction requirements are met, and the style processing efficiency is improved.

Using an AR device, a content item from a real-world environment is captured. An electronic device within a field of view of the AR device is then identified and a representation of the content item is transferred to the electronic device in response to detecting a user gesture to do so. A context of the electronic device into which the representation of the content item should be transferred is determined and a command is then transmitted to the electronic device to cause transfer of the representation of the content item from the AR device to the electronic device in the determined context.

A canvas element copying and pasting method and apparatus, an electronic device and a storage medium. The method comprises: performing data coding to obtain custom-type data; performing data type conversion to obtain alternative-type data; storing the custom-type data and the alternative-type data in a pasting board; and, if the custom-type data is supported, analyzing the custom-type data or, if not, analyzing the alternative-type data.

The invention discloses a manufacturing method of a PCB (printed circuit board) line length table, which realizes automatic acquisition of PCB line length information and table generation through cooperation of Excel and CR5000 software, can replace repetitive operation of manually copying and pasting line length values, greatly shortens line length extraction and table manufacturing time, and reduces manual operation errors. A visual button and shortcut key triggering mode is provided, the operation threshold is reduced, and the interaction efficiency is improved; a table containing information such as line length values and rule conformity is automatically generated, the signal line length relation is clearly and visually displayed, and rapid analysis and verification are facilitated; the intermediate file is managed in a centralized mode through the temporary directory, pollution to an original path is avoided, the process is standardized, codes are modularized, the method has the characteristics of easy maintenance and expandability, and the line length management efficiency and data accuracy of PCB designers are remarkably improved.

This invention discloses a method for merging multiple Excel spreadsheets, specifically relating to the field of data processing technology, including the following steps: S1, Spreadsheet preprocessing and folder creation: Create a new folder, copy the target Excel spreadsheets to the folder, select any spreadsheet, insert a blank row, and save; S2, Batch import spreadsheets: Import all spreadsheets in the folder using Excel's PowerQuery editor, specify the worksheet, filter the data, and upload it; S3, Data processing: Copy the uploaded data, paste it as "values" into a new worksheet, and remove formatting interference; S4, Subtotal calculation: Use Excel's subtotal function to set grouping fields, summary items, and calculation methods to generate the merged calculation results; S5, Filter or further process the summary results. This method is suitable for batch data calculations, greatly reducing the hassle of manually opening, copying, and pasting each item, quickly completing data merging, and achieving 100% accuracy in calculations involving thousands of spreadsheets. The batch calculation is highly efficient and fast, making it worthy of widespread promotion.

This invention provides a blind forensics method for small-target copy-paste tampered images. In the first stage, the input image is preprocessed, and residual features are extracted from the preprocessed input image using a residual super-resolution network. These residual features are then super-resolutiond to obtain a super-resolution image. In the second stage, the tampered image is first preprocessed and then input into the trained residual super-resolution network to obtain residual features and the super-resolution image. Next, frequency domain features are extracted from the super-resolution image, and then fused with the residual features to obtain cross-domain features. Multi-scale features are extracted from these cross-domain features. Finally, prediction masks for the multi-scale features are obtained through convolution and upsampling operations. Each prediction mask is transformed to the same dimension through convolution operations and then summed point-by-point to obtain a predicted segmentation map, completing the blind forensics process. Super-resolution of the tampered image into a high-resolution image improves the network's ability to recognize small targets; and full utilization of frequency domain information in the tampered image to obtain tampering artifacts improves the network's ability to detect tampered regions.

A method for a copy-paste tampered image detection, including: extracting, using a scale-invariant feature transformation algorithm, key points of an image and features corresponding to the key points; constructing, using a gradient hash matching algorithm, a hash table based on the features, and putting the key points into rows corresponding to serial numbers of the hash table; performing a matching operation, using a k-nearest neighbor algorithm, on the key points in each row of the hash table to obtain key point pairs; and clustering and grouping, using a distance clustering filtering algorithm, the key point pairs, and retaining the key point pairs in a cluster group whose number of the key point pairs is greater than a quantity threshold; and marking circles in the image with each key point, in the key point pairs that are retained, as a center and according to a specified radius.

The system according to this embodiment aims to accurately determine whether or not a work created by a generative AI infringes on copyright. [Solution] The system according to the embodiment comprises a reception unit, an evaluation unit, a calculation unit, and a judgment unit. The reception unit uploads the materials. The evaluation unit inspects the materials uploaded by the reception unit and evaluates the copy-paste rate of the information existing on the Web. The calculation unit calculates the generation AI creation rate based on the copy-paste rate evaluated by the evaluation unit. The judgment unit uses the generation AI creation rate calculated by the calculation unit as a basis for making decisions such as resubmission or rejection.

The application provides a quick copy form method based on a browser plug-in, which comprises the following steps: a plug-in installation and activation step, a data source selection step, a data extraction step, a target page positioning step, a data matching and filling step, and a data verification and adjustment step. The application can solve the problems of complicated operation, low efficiency and easy error in manual copy and paste of webpage form data in the prior art, thereby realizing quick, accurate and convenient copy of webpage form data.

The application belongs to the technical field of artificial intelligence compliance application, and discloses a data exposure surface silent monitoring method and system, which comprises the following steps: determining an event type according to the behavior scene of a terminal user, extracting a source process identifier of a triggering event in a terminal operating system and identifying an abnormal event; using a double-factor network flow conviction mechanism or a cross-session clipboard tracing mechanism, and combining the source process identifier, behavior rights of the corresponding abnormal event are determined; comparing network and process level fingerprints or interface window level fingerprints of the abnormal event after the rights are determined with a dynamically issued characteristic fingerprint library, generating an audit log containing an AI exposure surface high-risk early warning label according to the comparison result, and executing corresponding audit or blocking strategies. The application can realize accurate capture and high-light warning of the double exposure surfaces of code-level API automatic feeding and webpage manual copy-paste feeding without decrypting the HTTPS flow load content.

The invention relates to the technical field of computers, and discloses a comment method and device, equipment, a medium and a product.The method comprises the steps that in response to a comment display operation for a target fragment in a target text, a comment interaction interface corresponding to the target fragment is displayed on a graphical user interface; displaying a formation comment control corresponding to the formation copywriting of the target segment in a comment interaction interface; the formation copywriting is a copywriting determined according to clustering of at least part of historical interaction data of the target fragment; and in response to an interaction operation aiming at the formation comment control, sending comment contents containing the formation copywriting. According to the method, the comments containing the formation copywriting can be generated and published in a one-button mode, manual copying and pasting of the user are not needed, user operation can be greatly simplified, and the participation threshold of following the formation is reduced.

Excerpting on the computer currently involves extracting important text passages from a source document to an excerpt document using Copy and Paste. A computer-implemented method and two computer-implemented applications are described that make excerpting on the computer more efficient for the user. They recognize the release of a button pressed while selecting a portion of a source document, such as the release of the left mouse button at the end of making a selection with the mouse. Upon the release of the button, the selected portion is copied and pasted into an excerpt document without further user input. Definitions of insertion positions are described that allow the CPU to conduct such copying and pasting without user input. It is shown how the definitions provide the user with useful options and results. Some extensions lead to further efficiency of excerpting on the computer for the user.

This invention relates to a method for detecting minute targets in special-purpose vehicle driver behavior monitoring, belonging to the field of computer vision. Specifically, the method first uses a Diffusion network to generate simulated data highly similar to real data through a Markov chain approach with forward and backward derivation and iterative diffusion operations. Then, a specific instance copy-paste technique is used to paste minute targets from the pre-processed image into arbitrary positions, generating a synthetic image rich in minute target information. A dual-path parallel distillation learning network is then used to distill a series of Student networks tailored to different application scenarios, forming a network space suitable for different special-purpose vehicles. Finally, a multi-source, multi-objective optimized knowledge matching network is used to match the special-purpose vehicle with the Student networks in different scenarios. This method can match special-purpose vehicles with different monitoring performance and detection speeds, meeting the monitoring needs of various scenarios.

The present disclosure provides an information processing method and device, a terminal and a storage medium. The information processing method comprises: receiving a first document and / or a second document; identifying whether a preset identifier exists in the first document; when the preset identifier exists in the first document, obtaining a document identifier in the preset identifier, and replacing the preset identifier with a reference block corresponding to the document identifier, wherein the document identifier and the reference block are both associated with the content of the second document. The information processing method of the present disclosure can effectively retain the existing link relationship of the imported document, and can form a knowledge graph according to the link relationship or reference relationship, so that the imported document has the same document importing effect as the copy and paste.

The application discloses a kind of variable cluster spectral clustering-based image copy-paste tampering detection method and system, comprising the following steps: S1, extracting key point feature information from the input image, construct key point set;S2, the key point set is layered feature matching, and matching point is obtained;S3, construct tendency vector, and utilize tendency vector to delete error matching point;S4, variable cluster spectral clustering is used to cluster matching point, and the matching point that meets similar transformation is divided into the same cluster, the variable cluster spectral clustering includes spectral clustering and dynamic adjustment to cluster;S5, estimate affine matrix by the matching point in cluster, and the tampering region of image is positioned according to affine matrix, and the positioning result of tampered region is output.This method compared with traditional technology, using tendency vector clustering, can dynamically adjust the number of clusters according to the number of tampering regions of the image to be detected, improve the accuracy of tampering detection.

The present invention provides a method for resolving severe imbalance in semantic segmentation data for a specific task. The method comprises the following steps: S1, collecting basic data; S2, converting basic data; S3, cleaning data; S4, preparing offline copy and paste data; S5, preparing online copy and paste data; S6, starting training; determining whether to copy paste online. If so, proceed to step S6.1, followed by step S6.2; if not, proceed directly to step S6.2; S6.1, copy paste online; S6.2, determining whether to mosaic online. If so, perform online mosaic, followed by step S7; if not, proceed directly to S7; S7, obtaining a training model: training iteration. This method uses offline copy paste to better combine human skin and blue sky data, making the data more balanced and improving the semantic segmentation effect. Through online copy paste and online mosaic, the data is further balanced and scene diversity is increased, making the semantic segmentation effect more stable.

The invention discloses a code change statistical method and system considering different editing scenes, and relates to the technical field of computer software development and code management, and the method comprises the following steps: S1, obtaining code change data under different editing scenes through an event monitoring mode; wherein the different editing scenes comprise copying and pasting, repeated changing, AI (Artificial Intelligence) adopting and AI complementing; s2, uploading the code change data based on three dimensions of a saving event, an editor exit and a timed task; and S3, performing statistics of different dimensions and visual display of different forms on the uploaded code change data. According to the method, a reliable data basis is provided for code quality evaluation and developer performance analysis.

The application provides a paste method of clipboard content and related devices. Wherein, the electronic device can identify the paste scenario and the user intention of the user for copying and pasting based on the copied page and the pasted page. According to the paste scenario and the user intention, the electronic device can extract the to-be-pasted content from the copied content, which meets the user intention and matches the input box in the pasted page. The electronic device can provide the above to-be-pasted content for the user to select and input into the input box in the pasted page. The above method can effectively improve the efficiency and experience of the user for copying and pasting.

Unified solutions for agentic automation and robotic process automation (RPA) with self-healing and capabilities to increase autonomy are disclosed. AI agents “coexist” in tandem with RPA robots that execute RPA automations. The AI agents can dynamically leverage the tools available via these RPA robots to perform document processing, user interface (UI) automation, semantic copy-and-paste between a source and a target, etc. AI agents can dynamically select these tools and execute them in the form of a pipeline.

A system includes an interface configured to receive a paste-to data cell. The system includes a processor configured to: determine whether there is an exact match key for a copy-from data set; in response to there not being the exact match key for the copy-from data set, determine whether there is a smart formula for the copy-from data set; and in response to there being the smart formula for the copy-from data set, provide the smart formula for the copy-from data set to a formula cell. The system includes a memory coupled to the processor and configured to provide the processor with instructions.