13 results about "Web tables" patented technology

Examples of the present disclosure describe systems and methods for state-based entity behavior analysis. In an example, entities of a computing environment may be represented using a hierarchical entity web. In some examples, an entity may have a state associated with it, which may be modeled using a place / transition (PT) network. Events within the computing environment may be evaluated by transitions of a PT network to determine whether an entity should change state. If an entity transitions from one state to another, one or more actions may be performed, including, but not limited to, taking a remedial action, generating a recommendation, and updating the state of one or more associated entities. Thus, aspects disclosed herein may provide a high-level overview of the state of entities of a computing environment, but may also be used to view in-depth information of entities at lower levels of the hierarchical entity web.

Machine learning systems and methods for computer modeling and optimization of telecommunications networks are provided. The system processes information relating to a telecommunications network, such as a cellular telephone network, and generates a directed network graph that represents the network as a series of connected edges and nodes with associated attributes such as transmitter power, antenna tilt, radio resource control information, handover attempts, collisions, and other parameters. The network graph is stored in a graph database, and is processed by one or more network graph model inference modules which apply one or more specially-trained artificial intelligence (AI) models to the network graph to generate an optimized version of the network graph that can be utilized to improve the telecommunications network. A modeling visualization interface is also provided, and allows users of the system to visualize modeling and optimization performed by the system.

The application discloses a Web table abnormal data discovery method based on a text semantic mapping relationship. The application aims at discovering abnormal data with fuzzy or even wrong semantic information in a Web table. The method mainly comprises three parts: a semantic representation module, a column type inference module and an error discovery module. First, the semantic representation module represents the meaning of cell text. For a cell in a table, the string text in the cell is represented as a semantic vector according to context information. Then, the column type inference module infers the type of the column where the cell is located, and obtains the mode information of the column. Finally, based on the mapping relationship between the column type and the semantic vector of the cell text of the main column cell and the target cell, abnormal data in the table is discovered and labeled.

This invention discloses a microblog topic mining method based on text enhancement and high-order conversational relationship guidance, including: (1) constructing a user-level dialogue network containing high-order conversational relationships; (2) user embedding based on text enhancement: using a text enhancement method based on a large language model to interpret colloquial words to utilize their semantic information, and using a pooling function based on a multilayer perceptron to learn the mutual influence between different words, generating user representations based on text sequences; (3) self-fusion network representation: capturing the nonlinear relationship between text content and high-order network structure, and introducing an attention mechanism to model the influence of different users on the topic in the sequence, obtaining user sequence representations; (4) topic generation based on neural variational reasoning: using the user sequence representation with structural information supplementation as input to neural variational reasoning, learning potential generation factors through network reconstruction, and finally generating topics with better consistency.

In particular embodiments, a Data Access Webform Crawling System is configured to: (1) identify a webform used to collect one or more pieces of personal data; (2) robotically complete the identified webform; (3) analyze the completed webform to determine one or more processing activities that utilize the one or more pieces of personal data collected by the webform; (4) identify a first data asset in the data model that is associated with the one or more processing activities; (5) modify a data inventory for the first data asset in the data model to include data associated with the webform; and (6) modify the data model to include the modified data inventory for the first data asset.

This invention discloses a method for reverse dynamic synthesis of schematic diagrams, an electronic device, and a storage medium. The method includes: extracting the underlying physical network topology from the point map file of the device to be analyzed, generating a standardized physical network table; performing reverse semantic deduction on the standardized physical network table based on a pre-fabricated device pin semantic model library, outputting a semantic network table; and using a front-end rendering engine to dynamically render the semantic network table to generate a core circuit topology reference schematic diagram. This invention completely breaks the original manufacturer's monopoly on system-level schematic diagrams, achieving engineering-level reverse synthesis from physical point coordinates to system-level logical semantic topology. It provides high-value core topology reference schematic diagrams for devices without schematics, reduces industry manpower and time costs, decreases misjudgment rates, and provides high-value reference data for electronic equipment repair and reverse engineering.

This invention relates to a dynamic adaptive security penetration testing method based on reinforcement learning, belonging to the fields of cybersecurity and artificial intelligence. It includes: constructing and dynamically maintaining a dynamic attack graph that represents the target network as belief states; a high-level strategic planner containing a large language model receiving the overall penetration testing task objective and decomposing the objective into a sequence of sub-objectives based on the global state of the dynamic attack graph; for each sub-objective, a low-level tactical planner based on a reinforcement learning agent searching for the optimal action path to achieve the sub-objective on the dynamic attack graph; and an execution module executing this path, with the results fed back in real time to update the dynamic attack graph, enabling the high-level strategic planner to dynamically adjust the plan according to environmental changes. This invention solves the problem that existing automated tools, using linear processes, cannot plan and execute complex attack chains through a hierarchical architecture that combines a large model and reinforcement learning, achieving dynamic adaptation and automatic optimization of attack paths.

This invention relates to a method, device, and storage medium for dragging and copying data in a web table, comprising the following steps: listening for and capturing mouse clicks or keyboard input events on the main table; if it is a cell mouse click event, displaying a selector component on the table interface and drawing and rendering a first selection box around the clicked cell; when the mouse presses the drag handle component on the selector component, saving the value of the selected cell to an intermediate registered variable; after dragging is completed, capturing the coordinates of the drag termination cell and drawing and rendering a second selection box; after the second selection box is drawn, setting the value of the intermediate registered variable to the cell selected by the second selection box. This invention transforms a statically displayed web table into a dynamically editable table; and migrates the editing habits of desktop spreadsheets to web tables, making web table editing as intuitive and convenient as desktop spreadsheet editing.

This disclosure provides a method, apparatus, and device for dynamic editing of tables, belonging to the field of web development technology, aiming to improve the ease of editing web tables. The method, applied to web tables, includes: in response to a merge operation trigger, determining multiple cells belonging to control categories to be merged from the web table, wherein the data content of the multiple cells to be merged has the same attributes and is located in different data rows; merging the multiple cells to be merged to obtain a merged cell when the type values ​​of the control types corresponding to the multiple cells to be merged are consistent; and in response to an editing operation on the data, splitting the merged cell according to the number of cells merged in the merged cell and performing the editing operation; wherein the editing operation includes insertion and deletion operations.

A system and a method are disclosed for managing route information in a distributed network environment. The method includes monitoring routing information associated with a plurality of routes within the distributed network environment, and recording a stability value for each of the plurality of routes. The method further includes classifying the plurality of routes into a first set of routes identified as unstable based on the stability value and a second set of routes identified as stable. The first and second set of routes are processed according to different processing paths, wherein the first set of routes is processed through a first processing path that limits or defers computational operations associated with route updates, and the second set of routes is processed through a second processing path that updates a network representation reflecting current route information.

The application provides a text security judgment method and device based on consensus verification, and belongs to the technical field of natural language processing. The method comprises the following steps: obtaining a target text; inputting the target text into a judgment model to obtain a judgment result output by the judgment model, wherein the judgment result is used to indicate whether the target text is a safe text, the safe text does not include harmful expressions, the harmful expressions include a first harmful new word, and the first harmful new word is a word with harmful word meaning in the target text; wherein the first harmful new word is determined based on consensus verification, and the consensus verification is based on information searched by a search engine. The harmful new word with different word meanings in the context and the independent use can be accurately identified, the identification ability of implicit harmful network expressions is enhanced, and the accuracy and comprehensiveness of network text harmful content detection are improved.

The application belongs to the field of social network modeling and information dissemination, and particularly relates to a rumor dissemination prediction method based on transfer learning across fields; the method comprises the following steps: obtaining topic data and constructing a user topic network; defining a random walk strategy, and using a Node2Vec algorithm to represent the user topic network as a feature vector matrix; using a BERT model to represent topic text information to obtain a text feature vector of the topic; using evolutionary game theory to measure the dissemination influence of rumor information and rumor-busting information; training a prediction model according to the feature vector matrix, the text feature vector, the rumor information dissemination influence and the rumor-busting information dissemination influence, and adjusting the model parameters using a new model loss function; using transfer learning to correct the prediction model, and using the corrected model to predict user rumor dissemination topics; the application has high prediction accuracy, is conducive to inhibiting rumor information or disseminating rumor-busting information, and has high practicability.

This invention relates to the field of geological exploration data processing technology, and discloses a method and system for AI fusion, identification, and analysis of multimodal geological data. The method aggregates and structures multimodal data such as physical fields, chemical elements, geological structures, and drilling core samples; constructs and iteratively optimizes a knowledge topology network based on geological semantics to express semantic relationships and spatial constraints between data entities; actively detects high-value information links and contradictions within the knowledge network; generates multiple parallel fusion decision-making plans accordingly, clarifying data coordination rules and feature enhancement directions; introduces external intervention commands to screen and reconstruct the plans, forming a target fusion operation sequence; executes the sequence and synchronously evolves the knowledge network. This method realizes a transformation from static data association to dynamic knowledge guidance, and from fixed algorithms to human-machine collaborative proactive decision-making, improving the reliability of geological target identification and the level of intelligent analysis.