55 results about "Object Attribute" patented technology

The application discloses a kind of perception information configuration method, method is applied to control node, this method includes: determining the first perception node and m-1 second perception node for providing perception service for the object to be perceived;Wherein, m is greater than or equal to 1 positive integer;The first perception node and m-1 second perception node are configured with perception configuration information;Wherein, the perception configuration information at least includes one of the following information: object attribute information of the object to be perceived, node attribute information of the first perception node and m-1 second perception node attribute information, for indicating the perception execution configuration information of first perception node and m-1 second perception node to execute the perception task for the object to be perceived.The application also discloses a kind of perception information configuration device, system, storage medium and computer program product.

The present disclosure relates to a resource pushing method and device, electronic equipment, medium and chip, wherein the method comprises: obtaining a target product, a resource pushing channel of the target product, and object attribute data of a candidate object; the object attribute data is attribute data related to resource pushing of the target product; determining a feedback behavior probability of the candidate object for the pushed resource on the resource pushing channel according to the object attribute data of the candidate object and a feedback behavior prediction model; selecting at least one target object from the candidate object according to the feedback behavior probability of the candidate object to form a target object group; and then performing resource pushing processing; wherein the feedback behavior probability of the candidate object is determined in combination with the object attribute data of the candidate object, and then the target object is screened for resource pushing processing, which can combine more characteristics of the object for resource pushing, improve the matching degree between the pushed resource and the object, and thus improve the resource pushing efficiency.

Embodiments can relate to techniques for comparing and evaluating data from disparate data sources and / or data streams. The technique can involve receiving data from at least two disparate data sources and / or data streams (the data including object movement information). The technique can involve abstracting data and generating data sets representative of an attribute of an object, generating normalized data sets, aggregating normalized data sets based at least in part on time windows spanning between attributes of abstracted data, which can be stored. The method can involve retrieving data from the aggregated data sets and comparing the retrieved data to benchmark data representative of at least one or more of a standard, a pattern, or a statistic of an attribute of at least one or more objects. An output representative of the comparison can be generated.

The application relates to the technical field of natural language processing and information extraction, and discloses a table information extraction method and system for an object attribute detail table and a medium. The method comprises the following steps: obtaining an HTML document of a target table, and preprocessing the HTML document to obtain a text string of the target table; extracting a plurality of features in the text string to construct a feature matrix; the plurality of features comprise text features, position features and label features; inputting the feature matrix into a trained cell classification model to output all cell category discrimination results of the target table; and performing path query in all cells of the target table based on the cell category discrimination results, so that all data information capable of forming groups in the target table is obtained. The application improves the accuracy and universality of table information extraction.

Example implementations include a system to generate a user object, with a data processing system comprising memory and one or more processors to identify a role attribute of a user object, a geography attribute of the user object, and a temporal attribute of the user object, determine, based on the role attribute, the geography attribute, and the temporal attribute, a benefits group corresponding to the user object, generate a dynamic association of the user object to the benefits group, the dynamic association from the role attribute, the geography attribute, and the temporal attribute, and modifiable in response to a modification of one or more of the role attribute, the geography attribute, and the temporal attribute, and generate a dynamic tree structure from the dynamic association, the tree structure modifiable in response to the modification of one or more of the role attribute, the geography attribute, and the temporal attribute.

A query for a data object search may be received. The query may include a data object attribute to be suppressed or excluded in results of the data object search. The query may be tokenized to identify the data object attribute, and transformed into a vector, where a portion of the vector corresponds to the data object attribute. A modified vector may be generated by adjusting this portion of the vector, and a plurality of data objects responsive to the query and a plurality of scores corresponding to the plurality of data objects may be determined based on the modified vector. Computer-executable instructions configured to cause a user computing device to construct and display a user interface that displays at least a portion of the data objects according to the scores as the results of the data object search may be generated and transmitted to the user computing device.

The application provides a report generation method and device, and relates to the technical field of data processing, and comprises the following steps: obtaining a user demand file, and determining an object style and object attribute of a target report according to the user demand file; generating a demand template file corresponding to the target report by using an object style template generated according to the object style and an object attribute template generated according to the object attribute; and generating the target report according to the demand template file and business data corresponding to the target report. According to the user demand file, the demand template file can be generated, and then the report meeting the user demand can be generated according to the demand template file, so that the report generation efficiency and quality are effectively improved.

This invention discloses a story picture book interaction method, device, robot, and computer-readable storage medium, relating to the field of story interaction technology. The method includes: acquiring a target picture book selected by a target object; identifying the picture book's text and image information and attribute information; generating initial narration language based on the picture book's text and image information and attribute information; acquiring the target object's attribute information; adjusting the initial narration language based on the object attribute information to obtain the picture book narration language; generating picture book interaction information based on the picture book's text and image information; and interacting with the target object using the picture book narration language and interaction information. In this way, by intelligently parsing the target picture book content and combining it with the target object's attributes, personalized narration language and interactive information are automatically generated, making the storytelling more aligned with the target object's cognitive and emotional needs, effectively enhancing the target object's reading interest and comprehension.

The Java-based memory transaction management method disclosed by the embodiment of the application comprises the following steps: enabling a Java class data structure to be a Diff class; obtaining a transaction context instance of a Diff object through a unique identifier rootID of the Diff object; executing a start method of the transaction context to start a transaction; executing original business logic to modify memory data of the Diff object; after the execution of the business logic, if the business logic is normal, executing a commit method of the transaction context to submit the transaction, and ending the transaction; if the business logic has an exception, executing a rollback method of the transaction context to roll back the transaction, restoring modified data content of the Diff object, and ending the transaction. The Java-based memory transaction management method realizes memory level transaction processing of Java objects and object attributes, supports complex class data structure and multi-layer transaction nested execution, and provides a method with application potential for transaction management based on memory data.

This invention discloses a method, device, and medium for dynamic adjustment of a dexterous hand based on tactile feedback, relating to the field of adaptive control technology. The method includes: acquiring multimodal tactile signals from a bionic tactile array of the dexterous hand and state signals from each joint, performing synchronization alignment and timestamping to form an initial spatiotemporal data block; if reliable historical interaction experience is retrieved, the associated successful adjustment strategy is directly loaded and fine-tuned; otherwise, an identification stimulus sequence is generated and executed, new multimodal tactile signals are acquired, and the probability distribution of object attributes is calibrated online; the calibrated probability distribution of object attributes is input into a hierarchical decision architecture, outputting an adjustment torque command sequence, and the first adjustment torque command is sent to the joint actuator in real time for closed-loop adaptive adjustment. This invention achieves refined semantic parsing of multimodal tactile signals by generating a tactile weight heatmap, transforming high-dimensional tactile data into a probability distribution of object attributes with clear physical meaning.

The application provides a design conflict feature extraction and correlation discrimination method for historical block reconstruction, and relates to the field of data processing. In the method, a target historical block spatial object set is obtained and a block identifier is established, object identifiers are generated for spatial objects and object attribute sets are constructed, and on this basis, object state clusters are formed; the protection list, style guide, control regulation clause, mandatory specification, approval history and reconnaissance record are semantically disassembled to form a constraint statement set and a trigger relationship mapping is established; a local context set composed of object subsets, state subsets, statement subsets and spatial relationship subsets is constructed; the reconstruction design scheme is analyzed to generate a change identifier and update the context state and statement; the change context is subjected to satisfiability judgment, and when it is not satisfied, the design conflict feature is extracted and a conflict correlation hypergraph is constructed to realize conflict discrimination. The implementation of the technical scheme facilitates the stable extraction and correlation discrimination of design conflict features.

A scene layout anomaly perception text-to-image large model hallucination detection method, system and device, the method is: acquiring scene layout anomaly detection data and preprocessing, obtaining object instance set; Construct a scene layout anomaly perception model for text-to-image hallucination detection; Including double flow graph module, cross-modal structure alignment module and anomaly sorting module; Train the cross-modal structure alignment module and the anomaly sorting module to obtain the model weight file of the training iteration; Read the model weight file and perform hallucination detection on the text-to-image large model; The invention decouples the detection of hallucination into two dimensions of semantic context perception and geometric structure modeling of object instance through the innovative semantic-geometric double flow interaction and cross-modal alignment framework, the consistency between the two is inferred through the cross-modal interaction Transformer network, the mismatch signal of semantic and geometry is accurately captured, and the fine-grained hallucination such as unreasonable object attribute and mismatched object relationship in the generated image is accurately positioned.

The present invention relates to a video processing method, comprising: building an object material resource library used for storing objects, attribute information, materials, description information and correspondence relationships thereof; building a source video resource library used for storing source videos, placeable regions, feature tags and correspondence relationships thereof; on the basis of a matching rule, matching a source video suitable for placement and a target placeable region of the source video for a target object, or matching an object suitable for placement and a material of the object for a target source video; and placing the material of the object to the placeable region of the source video to obtain a synthesized video.

An AI image processing system is provided. The system is configured to receive latent parameters defining representations of attributes of an object in an image. The latent parameters include subsets of latent parameters, and each latent parameter subset corresponds to one attribute. The system is configured to produce a joint encoding of the latent parameters and produce an implicit 3D model of the object based on the joint encoding. The implicit 3D model defines a volumetric representation for each 3D location in the scene with respect to an input viewing direction. The volumetric representation defines a signed distance value and / or an optical density, and a color and / or a feature vector. The system is configured to render a 2D image of the scene including the object viewed from the input viewing direction based on the produced volumetric representations for different 3D locations in the scene.

This invention belongs to the field of information technology services. It discloses a method for converting physical Internet of Things (IoT) objects into digital assets and storing them. The method involves creating a Canvas on a webpage to initialize the drawing environment; receiving spatial feature parameters, personnel characteristics, and object attribute characteristics input by the user to construct a physical IoT grid generation model; the model generates a real-time rendered grid image; the user dynamically adjusts the number of rows and columns, cell colors, and object types to obtain an optimized rendered grid image; the optimized image is saved or transmitted as a digital asset in a structured format; the optimized image allows for interactive modification of cell attributes through user clicks or drags; the optimized rendered grid image can be exported and used for subsequent layout restoration. This invention automates the arrangement of real-time rendered grid images using a model, facilitating rapid personnel sorting for complex meeting seating arrangements, reducing the time spent on clicks and drags, and enabling rapid meeting scheduling while reducing labor costs.

The application relates to a video restoration method, comprising the following steps: pre-training a generative video restoration network based on large-scale high-quality video data to obtain a basic model with strong detail generation capability; constructing a reference image set and extracting an attribute set through an attribute extractor; preparing a training target high-definition video corresponding to the reference image, synthesizing a low-definition video and calculating a supervision loss; freezing the basic model weight obtained through pre-training to perform restoration under attribute condition constraints; inputting a real low-definition video and a target object attribute set to generate a high-resolution video and realize consistent industrial-level restoration output of the target object; and the application also relates to a video restoration system. The application can keep the consistency of target object attributes in cross-lens and long-time sequence segments while keeping high perceptual quality.

The invention provides a page processing method and device, equipment and a storage medium, and the method comprises the steps: responding to a preset first interaction operation triggered for a target recommendation object, displaying a target page, and displaying the obtained interaction information of the target recommendation object and a first target interaction control on the target page, the first target interaction control is used for triggering an acquisition operation for the target recommendation object based on the acquired interaction information. And in response to a preset second interaction operation acting on the target page, closing the target page, and displaying an object information page corresponding to the target recommendation object. When the target page displaying the obtaining interaction information of the target recommendation object and the first target interaction control is triggered and closed on the target page, the object information page corresponding to the target recommendation object is displayed for the user, so that the user is supported to further obtain the object attribute information of the target recommendation object, the page related interaction modes are enriched, and the user experience is improved. And the browsing experience of the user is improved.

An interface interaction method, apparatus, device, storage medium and product are provided. The method proposed herein includes: presenting a first interface to a first user, the first interface displaying a plurality of virtual objects, each virtual object in the plurality of virtual objects being associated with the first user and another user, each virtual object being associated with the first user and the another user based on historical interaction between the first user and the another user meeting a preset condition; receiving, via the first interface, a first request, the first request being associated with a first virtual element; and triggering updating of an object attribute of at least one virtual object in the plurality of virtual objects, the updating of the object attribute being related to the first virtual element. In this way, the interaction efficiency with the virtual object can be improved.

This application provides a hybrid path selection method combining multi-hop path enumeration and LLM final review, comprising: identifying known entities in the user question to be processed and determining the target ontology class corresponding to the answer requested by the user question in a preset domain ontology; extracting global candidate ontology classes and object attributes from the preset domain ontology to generate an original candidate multi-hop ontology association path set reflecting the potential association between known entities in the user question to be processed and the answer represented by the target ontology class; determining acyclic multi-hop ontology association paths from the original candidate multi-hop ontology association path set, and grouping and filtering the original candidate multi-hop ontology association path set to filter out a recommended multi-hop ontology association path list; extracting original text features reflecting the user's query intent from the user question to be processed, and jointly generating semantic decision prompts for a large language model from the recommended multi-hop ontology association path list.

Systems and methods for validations related to software are provided. In some embodiments, a method for building software with software action logging includes accessing a target object type. In some embodiments, the target object type includes one or more object properties. In some embodiments, the method further includes accessing an action type. In some embodiments, the action type includes one or more action parameters and is associated with one or more action rules. In some embodiments, the action type is associated with editing a target object of the target object type. In some embodiments, the method further includes generating an action log type that includes at least one of the one or more object properties and at least one of the one or more action parameters. In some embodiments, the action log type further includes an action context associated with an action of the action type.

This invention discloses a method and apparatus for data fusion in process industries based on a star schema. The method includes the following steps: Step S1: Obtain a digitized process industry flowchart, identify objects, object attributes, and connection relationships in the flowchart using primitive recognition technology, and construct a graph structure model; Step S2: Assign a unique equipment code to each equipment node corresponding to each equipment object in the graph structure model, construct a star schema data association model centered on the equipment code, and perform data fusion by using different types of industrial data as association branches of the star schema data association model; Step S3: Based on the fused data of each equipment node in the star schema data association model, mark the status of each equipment node on the digitized flowchart to generate a holographic data view with status identifiers. This invention enables the fusion and display of different process industry data on a flowchart.

Provided in the embodiments of the present disclosure are an information display method and apparatus, and an electronic device, a storage medium and a program product. The method comprises: displaying media content on a media content display interface, wherein there are a plurality of media content objects in the media content; and in response to an object display operation for the media content, displaying an object display interface for the media content, and displaying, in different object regions of the object display interface, object information of the media content objects having different pieces of preset object attribute information. By using the technical solution, the embodiments of the present disclosure can enrich modes for displaying object information of media content objects, thereby improving the orderliness of the object information displayed on an object display interface.

This application provides a method for accessing object attributes, an electronic device, and a storage medium. It relates to the field of data processing technology. The method includes: determining object attributes of a target object, where the target object is a feature class instance corresponding to a database table, and the object attributes are used to indicate member variables in the target object; generating a functional interface instance corresponding to the object attributes, where the functional interface instance is used to encapsulate access operations on the object attributes; storing the functional interface instance in a target cache; and, in response to an access operation on the object attributes of the target object, calling the functional interface instance from the target cache to perform the access operation on the object attributes. This application can improve the efficiency of object attribute access.