71 results about "Copy paste" patented technology

The invention discloses an image counterfeiting multi-type detection method and system based on a visual large language model, and belongs to the technical field of image processing and computer vision. The method comprises the following steps of: preprocessing a data set containing normal, copy and paste forged and spliced forged images, extracting visual and language features by utilizing a pre-training model, and realizing feature fusion by adopting a multi-modal alignment technology. Whether an image is forged or not is judged through a classification task, a forged area is positioned through a segmentation task, and meanwhile a forged text description is output through a text generation module. The loss function is optimized in combination with classification, segmentation, comparison and text cross entropy loss. And adopting an end-to-end training and course learning strategy training model, and outputting a forgery probability, a regional mask and text description during reasoning. According to the method, multiple counterfeit types can be processed at the same time, high-precision positioning is achieved, multi-modal information is effectively fused, and detailed counterfeit text description can be provided.

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.

The invention discloses a data intercommunication method and device based on a prototype file and a design file, and the method comprises the steps that a design file layer is converted into a combination of an instance and a component set, the instance is a copy of the component set, and the instance retains the basic attribute and state information of the component set; a team sharing library is established, editing and deleting operation is carried out on the combination of the instance converted from the design file in the prototype file and the component set, newly-added operation is forbidden, and the prototype file and the design file share element resources and design assets; in the mutual copying and pasting operation, layer data of the prototype file and the design file are kept consistent, and editing operation is supported; the layers are pasted into the synchronization blocks in a cross-file mode, the layers are modified in the source file, the associated synchronization blocks automatically prompt updating, and design consistency is ensured. According to the method, the prototype file and the design file are mutually copied and pasted to exchange data, so that unified management and reuse of resources are realized.

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 relates to the technical field of video monitoring, in particular to a convolutional neural network training sample augmentation method for monitoring video small target detection, and the method comprises the steps: collecting multi-angle image data through unmanned aerial vehicle aerial photography, processing the influence data, and generating a park three-dimensional scene model; importing the park three-dimensional scene model into an unreal engine for optimization and display, and decomposing the park three-dimensional scene model into continuous frame images to obtain independent image files; based on an independent image file, a large-scale semantic segmentation model is used for dynamically generating a mask to guide copying and pasting, a mask image is obtained and stored as a file with the same name of an original image, the method utilizes a virtual engine and a copying and pasting strategy based on the large-scale semantic segmentation model mask, and small target samples which are high in quality and uniform in distribution are successfully generated; according to the method, the Airsim is used for generating the labeling box of the virtual assets, the mask obtained by the segmentation model is used for fitting the labeling box of the targets, automatic labeling of the samples is successfully achieved, and the method can expand the training number and diversity of the small targets and improve the labeling quality of the small targets.

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 method and device for restoring factory settings and electronic device.The method comprises the steps that when a factory setting restoring request is received, a white list in a target disk and root folder nodes corresponding to objects in the white list are obtained; modifying the root folder node into a preset folder node in a mapping modification mode, wherein a disk space mapped by the root folder node before modification is consistent with a disk space mapped by the preset folder node after modification; and formatting disk space files corresponding to other nodes except the preset folder node in the target disk. According to the method, copying and pasting type backup does not need to be carried out on the object in an actual physical storage system, so that an input and output process of a disk does not exist.

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.

The present invention discloses a method, device, computer device and storage medium for copying and pasting clipboard content. The method includes: customizing a HookClipboardManager service that inherits from the system clipboard service, creating a HookActivity that inherits from the system Acitivity, and changing all classes that inherit from the system Activity to inherit from the HookActivity; during the program running stage, automatically obtaining the HookClipboardManager service of the HookActivity, calling the HookClipboardManager service to save the copied content of the current application in the application memory, and pasting the copied content in the application memory to the current page. The present invention can ensure the data security within the application.

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.

The invention provides a knowledge system of a design tool, and belongs to the technical field of industrial design, and the system specifically comprises a demand module which is used for building and storing demand entries; the knowledge objects comprise a plurality of main knowledge objects and multilevel sub knowledge objects subordinate to the main knowledge objects, each knowledge object has a plurality of attributes, and the content of the attributes comprises various data information of the knowledge objects; one or more demand items are linked with a main knowledge object, the main knowledge object is linked with a subordinate first-level sub-level knowledge object, an upper-level sub-knowledge object is linked with a subordinate sub-knowledge object, and the knowledge object can form a new knowledge object through copying and pasting; the attribute under the current knowledge object can be copied and pasted to other knowledge objects to serve as a new attribute. Through the processing scheme, the workload in the model design process is reduced, and the model design efficiency is improved.

The present invention provides a multi-scale image copy-paste forgery detection method based on FPN, which combines the use of a Feature Pyramid Network and a Residual Neural Network to perform multi-scale and high-robustness feature extraction on images, uses an attention mechanism for feature selection, calculates similar regions in the self-correlation calculation area, and performs deconvolution to decode the image into a mask of the same size as the detected image, successfully locating the forgery regions in the image and classifying whether the image has been forged. The method of the present invention has strong robustness in multi-scale feature extraction, high detection accuracy and high detection efficiency. It detects whether there is copy-paste forgery in the image and effectively identifies the copy-paste forgery regions existing in the image. It protects the authenticity and usability of the image from being damaged.

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 present invention discloses a medical image tampering detection and self-recovery method based on texture cross-embedding. The method divides a medical image into a ROI region and a RONI region. Texture complexity is calculated based on different features in the ROI region, which is then divided into texture blocks and smooth blocks. Compressed sensing technology is used to extract different features within each block as recovery information. Pixel-level and block-level detection bits are set in the ROI region. Restoration information is hidden in the RONI region using a reference matrix and cross-embedding technology. This method not only uses gradient histograms and DCT transforms to detect copy-and-paste attacks across the entire image, but also uses pixel-level and block-level detection to locate tampered blocks in the ROI region and extract recovery information to restore the tampered image. The method offers the advantages of strong tamper detection, excellent self-recovery, high security, good invisibility, and strong robustness.

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.

The invention discloses a code generation method for converting interface parameters based on a spreadsheet, which is applied to an instruction calculation software access test tool and comprises the following steps: acquiring an interface parameter specification file which comprises definitions of input parameters and output parameters determined in an interface protocol file; one interface parameter specification file comprises multiple pieces of parameter information; executing a code generation program to generate a conversion code; the conversion code is composed of a function name, a form page, row information or a function name, a parameter element and a form parameter; packaging the conversion code into a function code of a file corresponding to the test tool to form a complete program code; and after a complete program code of the test tool is compiled, interaction with input and output data of the interface and the instruction calculation model is realized in the test tool. According to the technical scheme, a large amount of code copying and pasting work can be reduced, the accuracy and adaptability of interface code implementation are improved, a large amount of test tool debugging time is saved, and the test efficiency is improved.

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.