49 results about "Object graph" patented technology

The invention discloses an object-centered business process violation inspection method and system based on Tokine replay, and belongs to the field of process mining, and the method comprises the following steps: constructing an object graph from an object-centered business process event log, and extracting process execution; deleting cross-layer redundant dependencies in process execution, dividing the process execution according to echeles, and obtaining a binding sequence; performing Tokine replay in the multi-object Petri net model according to the binding sequence to obtain a replay result and a deviation result; and quantifying the compliance according to the fitting degree, and displaying a part with serious deviation in the process by using a local diagnosis method to obtain an object as a center business process violation inspection result. The system comprises an object graph and process execution acquisition module, a binding sequence acquisition module, a replay result and deviation result acquisition module and an object center business process violation check result acquisition module. For the object-centered business process, the method provided by the invention improves the accuracy of the compliance check of the object-centered business process.

The invention discloses a target-driven navigation method and device based on context awareness and imitation learning, and the method comprises the steps: recognizing an object instance of interest in an image based on a target detector DETR, and constructing an object graph; based on context perception graph reasoning, in the navigation process, dynamic context information such as images, actions and memories serves as guidance, object features are projected to hyperplanes of corresponding contexts by means of a TransH method at each time step, the object relation is dynamically learned, and an intelligent agent can better understand the complex environment. Based on visual representation of Transform, visual features and graph features are fused, and spatial semantic information of the environment is better captured. Based on generative adversarial imitation learning, a new dynamic reward function is designed, and an intelligent agent is helped to avoid a deadlock state in combination with environment rewards. Based on a standard asynchronous dominant actor-commentator algorithm, an effective navigation strategy is trained by using a new reward function, and the navigation success rate and efficiency of the intelligent agent in an unfamiliar environment are improved.

A computer-implemented method includes maintaining one or more databases that collectively store organizational data associated with an organization and an object graph data structure having a plurality of data objects associated with the organizational data. The method further includes generating a formula field which includes one or more dependent fields, wherein the formula field is defined and evaluated using a query expression that makes reference to the object graph data structure. The method further includes, in response to a value of at least one of the one or more dependent fields changing to an updated value, automatically updating a value of the formula field based on the updated value of the at least one of the one or more dependent fields, and enabling inclusion of the formula field in one or more of a report, a policy, a workflow, a trigger, or a rule.

The invention provides a memory management method and device, a storage medium and computer equipment, and aims to realize object granularity memory allocation and release by maintaining fine-grained and shareable access memory management metadata on a separated memory and allowing an application client to directly and concurrently access the metadata. The problem of memory occupation expansion in the existing memory management technology is solved. Moreover, the leakability and accessibility of the distributed object are actively maintained in the memory management process, so that the overhead of traversing an object graph like a garbage collection mechanism is prevented from being introduced in the memory leak recovery process.

Techniques for detecting potential concurrency issues and / or causality bugs are disclosed. To this end, the system maintains at least one object graph of event objects. The event objects represent events, and the event objects in an object graph are interconnected by references that represent causal and / or temporal relationships between the corresponding events. Before a thread attempts a task that could feasibly conflict with another task, the system may compel the thread to consult the object graph. For instance, if a task entails accessing a shared object, the system may compel a thread to determine if the last event to mutate the shared object is represented in an object graph of event objects before an event corresponding to the thread's current attempt to complete this task. If the last mutation event is absent from the object graph, the system may prevent or delay the thread from completing the task.

The invention discloses a zero-copy serialization method and device based on memory mapping, equipment and a medium, and relates to the field of data processing. In the method, a root object to be serialized is received, the root object and sub-objects are analyzed, and a field to be serialized is identified; constructing an object graph containing the reference relationship between the objects; in the object graph, recursively calculating the data size required for serializing the root object and the sub-object to obtain the total serialization size; according to the total serialization size, selecting and distributing a corresponding memory block from a preset layered memory pool, creating a memory mapping file corresponding to the memory block, and establishing a memory mapping buffer area based on the memory mapping file; traversing the object graph, and writing data of the root object and the sub-object into a memory mapping buffer area; the total length of the data is actually written into the memory mapping buffer area, and the total length of the data is written back into the reserved head area of the memory mapping buffer area. By implementing the technical scheme provided by the invention, the data serialization efficiency is improved.

The invention discloses an object recommendation method, a computer terminal, a storage medium and a program product, and relates to the field of image processing. The method comprises the steps that object evaluation data and object images of a plurality of objects to be recommended are obtained, and the object evaluation data are used for representing data influencing the access popularity of the objects to be recommended; determining a recommended probability of the to-be-recommended object based on the object evaluation data; based on the object images, object retrieval results of the to-be-recommended objects are constructed, and the object retrieval results are used for representing the incidence relation between the to-be-recommended objects; and based on the recommended probability and the object retrieval result, selecting at least one to-be-recommended object from the plurality of to-be-recommended objects as a target recommended object. According to the method and the device, the technical problem that the commodities recommended to the user have relatively poor quality and are repeated in the prior art is solved.

The invention provides an identity recognition method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: performing feature extraction on each object in a video to obtain a first object feature of each object; constructing an object graph structure of the video by taking the first object feature as a node and taking an interaction relationship of different objects in the video as an edge; based on the object graph structure, updating the first object feature of each object to obtain a second object feature of each object; and for each object, performing identity recognition on the object based on the second object feature of the object to obtain the object identity of the object. According to the invention, the accuracy of identity recognition can be effectively improved.

The present specification discloses a method and device for detecting system failure. For each subsystem database in the system, each object node in the object graph is determined according to each physical model of the database. Then, according to the business content corresponding to each object node and the business logic of each business, a balanced expression composed of object nodes is determined. After that, for each balanced expression, when the data change of the object node in the database in the balanced expression is determined, a balanced expression instance is determined. If the data on both sides of the balanced expression instance is inconsistent, it is determined that there is a system failure, and a prompt information is sent. In this way, when the data of the business in the system changes, whether there is a failure in the system can be detected by judging whether the operation results on both sides of the balanced expression instance corresponding to the business are consistent, so that the problem can be found in time and efficiently, and the loss caused by the system failure to the enterprise can be reduced.

This disclosure relates to a system and method for data analysis. According to a first aspect, there is described a method, the method being performed using one or more processors, comprising: receiving one or more user inputs indicative of one or more relationships between data in a plurality of datasets; determining, based on the one or more user inputs, at least one object view for visualizing the data in the plurality of datasets; generating, based on the one or more user inputs, metadata comprising: an object graph indicative of the one or more relationships between two or more of the plurality of datasets; and information identifying the at least one object view; and in response to a query relating to the plurality of datasets, using the metadata to determine how response data responding to the query should be provided.

The present invention relates to the field of data processing, and discloses a method, device and storage medium for processing business requests for historical chat records. The method comprises: calling Core Data to generate an initial data model; generating a table in the initial data model; creating a preset attribute in the table; establishing a relationship between the preset attributes to obtain a target data model; mapping the target data model to a preset database to obtain a target database, and obtaining chat records to be stored; performing a data conversion operation on the chat records to be stored to obtain an object graph, and storing the object graph in the target database to obtain an object graph database; when a business request is detected, responding to the business request according to the object graph database. In an embodiment of the present invention, the efficiency of business processing of historical chat data is improved.

This disclosure generally covers systems and methods that identify relevant information for a user based on an object graph for documents and other files hosted by a document hosting system. In particular, certain embodiments of the disclosed systems and methods generate an object graph comprising interconnected nodes representing relationships among documents and other files on the document hosting system. Using the object graph, the disclosed systems and methods can identify relevant information and provide results or recommendations corresponding to that information based on a query or on user input, respectively.

The invention provides a data processing method and device, equipment, a readable storage medium and a program product, and the method comprises the steps: in the running process of a target program, pausing the running target program in response to an object graph obtaining instruction; querying object graph generation information of the target instance object belonging to the to-be-queried class from the heap storage space in a pause running stage of the target program; the heap storage space is used for storing object information of instance objects generated in the running process of the target program; generating an object graph of the target instance object according to the object graph generation information of the target instance object; the object graph is used for determining whether memory resource abnormal occupation exists in the running process of the target program. According to the method and the device, the memory information of the required instance object can be obtained according to the to-be-queried class, and the object graph of the required instance object is determined online, so that the data processing amount is reduced, the data processing efficiency is effectively improved, and whether memory leakage exists in a program or not can be quickly determined according to the object graph.

An object of the present invention is to provide an information processing system related to generation of a learning model (network) in machine learning.SOLUTION: An information processing system that executes processing related to a learning model used in machine learning, the information processing system comprising: a first processing section that specifies object identification information corresponding to pseudonymous identification information using a first learning model generated using object image information and pseudonymous identification information associated with the object image information; a second processing section that performs verification processing of an output result of object identification information corresponding to image information input to the first learning model; and a second model generation processing section that executes learning processing of machine learning using learning data verified by the second processing section to generate a second learning model.SELECTED DRAWING: Figure 1

The invention discloses a persistent simulation method and device for a Java Card simulator, and relates to the technical field of persistent simulation. The method comprises the following steps: if a serialized object state does not exist, initializing a Java Card simulator environment, traversing a target object graph from a root node of the target object graph during persistent simulation of the Java Card simulator, and creating state representation of each object to be concerned; creating an object state list according to the state representation of each to-be-concerned object, and creating an instance reference relationship maintenance list based on the object state list; and analyzing the instance reference relationship maintenance list to obtain an instance loading sequence, and loading the application instance according to the instance loading sequence. According to the technical scheme provided by the embodiment of the invention, the development complexity during persistent simulation of the Java Card simulator can be reduced, and a cross-instance reference scene can be accurately simulated.

A computing device displays a first object icon representing a first object of a first data source and a second object icon representing a second object of the first data source. The first object icon is connected to the second object icon via a first connector representing a relationship between the first object and the second object. In response to receiving a first user input to add a third object, the computing device displays a third object icon representing the third object. In response to receiving a second user input on the third object icon, in accordance with a determination that the second object and the third object include at least one common data field, the computing device displays a second connector connecting the third object icon to the second object icon.

A method, performed by one or more processors, including: receiving one or more event records; generating, using the one or more event records, an event descriptor object descriptive of one or more events occurring in a networked system, wherein the event descriptor object comprises a plurality of event properties; receiving one or more entity records; generating, using the one or more entity records, an entity descriptor object descriptive of one or more entities relevant to the security of the networked system, wherein the entity descriptor object comprises a plurality of entity properties; incorporating, into an object graph, the event descriptor object and the entity descriptor object; and associating, in the object graph, the event descriptor object with the entity descriptor object using at least one of the plurality of event properties and at least one of the plurality of entity properties.

The present application relates to a target matching method, an event determination method, an apparatus, a computer device, a storage medium, and a computer program product. The method comprises: obtaining a first object identifier for which an object identifier match fails and the time at which a first behavior corresponding to the first object identifier occurs, wherein the first object identifier is the identifier of the object that performed the first behavior; searching for a set of second object identifiers within a preset time period corresponding to the time at which the first behavior occurred, wherein the second object identifier is the identifier of an object that has a tendency to perform a second behavior, and the second behavior and the first behavior are opposite behaviors performed with respect to a target area; matching the first object identifier and the second object identifier set based on the similarity between the object image corresponding to the first object identifier and the object images corresponding to each second object identifier in the second object identifier set, and determining a second object identifier that successfully matches the first object identifier. This method can improve the accuracy of target matching.

This disclosure generally covers systems and methods that identify relevant information for a user based on an object graph for documents and other files hosted by a document hosting system. In particular, certain embodiments of the disclosed systems and methods generate an object graph comprising interconnected nodes representing relationships among documents and other files on the document hosting system. Using the object graph, the disclosed systems and methods can identify relevant information and provide results or recommendations corresponding to that information based on a query or on user input, respectively.

A method, performed by one or more processors, including: receiving one or more event records; generating, using the one or more event records, an event descriptor object descriptive of one or more events occurring in a networked system, wherein the event descriptor object comprises a plurality of event properties; receiving one or more entity records; generating, using the one or more entity records, an entity descriptor object descriptive of one or more entities relevant to the security of the networked system, wherein the entity descriptor object comprises a plurality of entity properties; incorporating, into an object graph, the event descriptor object and the entity descriptor object; and associating, in the object graph, the event descriptor object with the entity descriptor object using at least one of the plurality of event properties and at least one of the plurality of entity properties.

A computing device displays a first object icon representing a first object of a first data source and a second object icon, representing a second object of the first data source. The first object icon is connected to the second object icon via a first connector representing a relationship between the first object and the second object. In response to receiving a first user input to add a third object, the computing device displays a third object icon representing the third object. In response to receiving a second user input on the third object icon, in accordance with a determination that the second object and the third object include at least one common data field, the computing device displays a second connector, connecting the third object icon to the second object icon.

An object evaluation method and an object evaluation device. The object evaluation method includes: obtaining an image of a first object to be evaluated; determining first level information by means of a first object level classifier according to the image of the first object to be evaluated; determining adjustment weights of various object levels according to distribution proportions of the object images of the various object levels in a plurality of object images having the same object type as that of the image of first object to be evaluated and having known object levels, wherein an object level having a relatively high distribution proportion has a relatively low adjustment weight; and respectively generating second rating confidences of the various object levels according to first rating confidences and the adjustment weights of the various object levels to form second level information.

The embodiment of the invention provides an object release content generation method, computing equipment, a computer readable storage medium and a computer program product. The object release content generation method comprises the following steps: sending object release prompt information to a client; obtaining an object picture sent by the client; identifying an object type to which the target object in the object picture belongs by using the first large model; performing information extraction from the object picture by using a second large model based on the object type to determine a first parameter value of at least one successfully extracted first attribute parameter and at least one unsuccessfully extracted second attribute parameter; sending the at least one second attribute parameter to the client; acquiring a second parameter value sent by the client; and generating object publishing content according to the at least one first parameter value and the at least one second parameter value. According to the technical scheme provided by the embodiment of the invention, the object publishing content which accurately and completely describes the target object can be generated.

An embodiment of the present disclosure discloses a training method for a multi-object tracking model and a multi-object tracking method. The multi-object tracking method comprises: constructing an object graph according to objects to be tracked in a current frame, wherein the vertexes of the object graph correspond to the objects to be tracked, and edge features of the edges between the two vertexes comprise an attribute relationship between the two vertexes; performing graph matching on the object graph and a tracklet graph to calculate matching scores between the object to be tracked and the tracked tracklet in the tracklet graph, wherein the vertexes of the tracklet graph correspond to tracked tracklets, and the edge features of the edges between the two vertexes comprise an attribute relationship between the two vertexes; and determining the matched tracklet of the object to be tracked according to the matching scores.

Systems, computer-implemented methods, applications, and user interfaces for xxx. For example, a computer-implemented method may include: receiving a rule and a content item associated with a trigger, the rule having a condition for activation of the trigger; determining based on an evaluation of the object graph that the condition for activation of the trigger is satisfied; identifying, based on the determination that the condition for activation of the trigger is satisfied, a trigger data object associated with the trigger; and causing the content item to be transmitted to or displayed at a computing system associated with the trigger data object based on the identification of the trigger data object and on the determination that the condition for activation of the trigger is satisfied.

The invention provides a three-dimensional object generation method and device based on a large model, equipment and an intelligent agent, relates to the technical field of artificial intelligence, in particular to the technical fields of computer vision, deep learning, large models and the like, and can be applied to scenes of virtual reality, 3D clothing generation and the like. The three-dimensional object generation method based on the large model comprises the following steps: performing morphological transformation on an initial graph for a target object to obtain an object morphological graph representing that the object has a specified morphological; performing feature fusion on the object texture feature and the object form graph of the initial graph by using a visual large model to obtain a basic target object graph; performing multi-view conversion on the basic target object graph to obtain a plurality of expanded target object graphs related to a plurality of preset views; and generating a three-dimensional object based on the plurality of extended target object maps.

The present disclosure provides a target detection method and an electronic device, which can be applied to the technical field of computer vision. The method comprises: obtaining an object graph in a t-th image frame based on a target satellite video and historical detection results; obtaining a first detection result of a target object in the t-th image frame according to the t-th image frame, the object graph, a target historical image frame and a historical detection result of the target historical image frame, wherein the target historical image frame is one image frame in the target satellite video; determining a second detection result of the target object in the t-th image frame according to the historical detection result; and determining the first detection result as a target detection result in a case where the first detection result matches the second detection result.

A platform-agnostic input system can render a multiuser input board user interface element at one or more frontends to collect input from multiple users simultaneously. The platform-agnostic input system can maintain an object graph based on positions of objects added to the multiuser input board. The platform-agnostic input system can select branches of the object graph and determine which among a set of platforms in a multiplatform computing system to associate with the data associated with each node of that branch of the object graph.

A platform-agnostic input system can render a multiuser input board user interface element at one or more frontends to collect input from multiple users simultaneously. The platform-agnostic input system can maintain an object graph based on positions of objects added to the multiuser input board. The platform-agnostic input system can select branches of the object graph and determine which among a set of platforms in a multiplatform computing system to associate with the data associated with each node of that branch of the object graph.

The invention discloses a credit risk prediction method and a computer program product. The method comprises the steps of obtaining object attribute data of a plurality of target objects, and determining object feature data of each target object according to the object attribute data of each target object; taking the target objects as nodes, and constructing a multi-object graph network corresponding to the plurality of target objects according to the object attribute data corresponding to the target objects; for a single target object, determining node feature data corresponding to the target object according to a neighbor node corresponding to the target object in the multi-object graph network; clustering the plurality of target objects according to the node feature data of the plurality of target objects to obtain object categories corresponding to the target objects; wherein the object category is used for indicating the credit risk degree corresponding to the target object. Therefore, the risk prediction and classification result of the target object can be quickly, comprehensively and accurately obtained, the loss is reduced, the resource safety is protected, and the sensitivity to the risk is kept.