194 results about "Instance Identifier" patented technology

The invention provides a report loading processing method, system and device in an industrial scene and a medium, and belongs to the technical field of report loading. Data source information associated with a service entity identifier is obtained; establishing a dynamic binding relationship between business entity attributes and data source fields, and generating an index metadata template; acquiring data source information associated with the service entity identifier through a data registration component; establishing a calculation mapping relation between the index field and the data source field; generating a standardized configuration file; persisting the generated standardized configuration file to a database; a three-party incidence relation index among an index instance identifier, a service entity identifier and a data source identifier is established, in actual industrial data processing, even if network faults and other problems occur, it can be guaranteed that configuration files are accurately updated, when service requirements change, calculation rules of corresponding levels can be rapidly positioned and adjusted, and the service requirements are met. And the flexibility and accuracy of data processing are improved.

The invention discloses a monitoring management method and system for an artificial intelligence development platform, particularly relates to the field of computer system monitoring management, and is used for solving the problems of unstable attribution of monitoring fragments and inconsistent alarm interpretation in a switching scene. A training task continuous identifier is generated based on a submission record, a running instance identifier mapping table is established, a monitoring data stream is collected, a monitoring fragment is formed when a switching event arrives, a switching time sequence alignment index and a training semantic continuation index are calculated, and sequence inference is executed to obtain a fragment attribution result. Generating a training task continuous record according to the training task continuous identifier, generating a switching instruction, executing consistency verification on the training task continuous record to form a consistency verification result, triggering a correction instruction to update the mapping table and reconstruct the training task continuous record, and revising a boundary echo window construction rule and a semantic anchor point deduction rule at the same time; and stable unification of monitoring affiliation and explanation caliber is realized.

Certificate management using Automated Certificate Management Environment (ACME) protocol in a 5G network. In an embodiment, a network function (NF) of the 5G network operates an ACME client to obtain a digital certificate from a certificate authority via ACME protocol for secure communication by the NF. The ACME client is configured to send a certificate request to the certificate authority indicating an NF instance identifier, receive an ACME challenge from the certificate authority, and write the NF instance identifier as encrypted or a previously-issued certificate to a server under a security domain of the NF in response to the ACME challenge.

The invention provides a concurrent debugging method and system based on sandbox-LLM (Language Model) session bidirectional binding. The method comprises the following steps: distributing a global unique session identifier for each LLM session; writing the globally unique session identifier and the sandbox instance identifier into a distributed memory database to form a bidirectional binding table, and marking the initial state as a binding state; realizing unvarnished transmission of a full-link global unique session identifier through an environment variable and an HTTP / gRPC header field; during sandbox thermal migration, the old instance atomically updates a binding table entry state into a migration state through a distributed mutual exclusion lock, and the new instance is written into the binding state after being preheated within a preset time; the log agent identifies an aggregation index according to a sandbox instance, collects average generation delay according to a preset frequency, accumulates a data collection number and GPU video memory occupation; and periodically polling the binding table, and cleaning entries which exceed a preset threshold value of the distributed mutual exclusion lock and are in a recovery state.

The invention discloses a computing power scheduling method, computing power scheduling equipment and a medium, and belongs to the technical field of communication. The computing power scheduling method comprises the following steps: in response to a received computing power request message, determining a network path and a service instance identifier corresponding to the computing power request message based on a flow computing power forwarding table corresponding to the computing power request message; and forwarding the computing power request message to a corresponding computing instance according to the network path and the service instance identifier, and providing the network path and the service instance identifier corresponding to the computing power request message through a predetermined flow computing power forwarding table and / or a flow affinity table. Through the flow computing power forwarding table, it can be ensured that the computing power request message can be correctly routed to a proper computing instance, a perfect computing power scheduling mechanism is provided, and more balanced and efficient computing network resource utilization is achieved.

The invention relates to the technical field of communication, in particular to an information interaction method and device and a readable storage medium, and the method comprises the steps that an ADRF receives a model storage request sent by an NWDAF including an MTLF, the request is used for storing a model, and the request does not include an allowed NFc list corresponding to the model; the ADRF generates an allowed NFc list for the model, wherein the allowed NFc list comprises an NF instance identifier of a second network element; the method is convenient to use during subsequent NWDAF retrieval containing the AnLF; and the ADRF returns a model storage response. By adopting the method and the device, the storage scheme of the model can be perfected, and under the condition that the NWDAF containing the MTLF does not specify an allowed NFc list, the model acquisition permissions at the two ends of the NWDAF containing the MTLF and the ADRF containing the MTLF can be aligned (or synchronized).

Mechanisms are provided for routing transactions to backend application instances. The mechanisms receive a transaction from a source computing system, wherein the transaction comprises at least one identifier of a product or service associated with the transaction. The mechanisms perform a lookup operation in an in-memory database of transaction routing information, based on the at least one identifier. The transaction routing information maps the at least one identifier to a backend application instance identifier of a backend application instance. The mechanisms route the transaction to the backend application instance based on the backend application instance identifier, process, by the backend application instance, the transaction to generate transaction results, and return the transaction results to the source computing system.

A method for providing for SCPs to learn network topology using a root NRF includes storing, by a root NRF, NF instance identifiers of a plurality of NFs registered with a plurality of circle NRFs. The method further includes providing, by the root NRF, a one-stop network topology access interface through which an SCP can learn network topologies of network circles served by each of the circle NRFs. The method further includes receiving, by the root NRF, from the SCP and via the one-stop network topology access interface, for obtaining network topology information from the circle NRFs. The method further includes communicating, by the root NRF, with the circle NRFs and on behalf of the SCP, to trigger the circle NRFs to provide the network topology information.

Methods and systems are provided for service policy orchestration in a communication network. An orchestration of a distributed event policy may be initiated at a service policy execution factory (SPEF). The initiating may include selecting a service event object with an associated unique service instance identifier and an associated unique service event identifier; defining service requirements that may include or relate to one or more of type of an event, a criticality, a lifetime, and generic service execution rule(s); including the service requirements in the service event object; and sending the service event object and the unique service instance ID to a service policy orchestration factory (SPOF) for performing one or more actions relating to the orchestration of the distributed event policy. In response to receiving an SPOF feedback message that indicates a successful updating of the event repository, the orchestration of the distributed event policy may be terminated.

The embodiment of the invention discloses a multi-engine task processing system and method, electronic equipment and a readable storage medium, and relates to the technical field of computers. According to the multi-engine task processing system provided by the embodiment of the invention, a plurality of service clusters can be configured to execute the task processing instructions corresponding to different instance identifiers, so that a task allocation process and a task execution process can be decoupled, and the same task processing instruction is executed by the same target service cluster as far as possible; and the same instruction is prevented from being processed across multiple databases. Due to the fact that the dependency relationship does not exist between the service clusters and the process engines in the service clusters, a user can randomly increase or reduce the service clusters and the process engines in the multi-engine task processing system, the problems that the bearing capacity of the system is insufficient, the transformation cost is high, and capacity expansion is difficult are solved, and the user experience is improved. And meanwhile, the system has the capabilities of high concurrency, large capacity, high stability and high expandability.

The invention discloses a multi-information fusion processing feature recognition method and device based on a graph neural network, and the method comprises the steps: representing a three-dimensional model through an adjacent graph, constructing a connection relation matrix between surfaces, carrying out the sampling and coding of the surfaces and edges of the three-dimensional model, and enabling the surfaces and edges to serve as the corresponding feature tensors of the nodes and edges of the adjacent graph, constructing an attribute adjacency graph data set of the part; constructing a graph neural network, a processing feature semantic classifier and a bottom surface classifier, and training to enable the network to perform processing feature semantic classification and bottom surface classification on each surface; and in combination with the output results of the two classifiers and the connection relation matrix, displaying the identified feature instances by using a depth map library, realizing the identification of the processing feature instances of the part, and obtaining the surfaces forming the feature instances. According to the method, the problems of realizing machining feature identification and obtaining the surface forming the machining feature instance in the part with the complex machining feature are solved.

The invention relates to the technical field of computer vision, in particular to a complex scene object recognition system based on multi-scale feature fusion, which comprises a feature extraction module, a Riemannian geometric feature pyramid module, a candidate region generation module and an instance recognition and positioning module, and is characterized in that the feature extraction module extracts multi-scale spatial features; the Riemannian geometric feature pyramid module maps spatial features to a Riemannian manifold space, calculates curvature distribution of feature manifolds, dynamically adjusts feature extraction levels and fusion strategies, and realizes geometric consistent fusion of different scale features through geodesic line feature fusion; the candidate region generation module generates an object candidate region based on the fusion features; and the instance identification and positioning module completes final object classification and positioning, introduces a differential geometry theory to construct a Riemannian geometric feature pyramid, realizes geometric representation and adaptive fusion of features, solves the problems of scale change, partial occlusion, background interference and the like in a complex scene, and effectively improves the accuracy and robustness of object identification.

The invention provides a service debugging method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of service debugging. Initiating a debugging request for a target service instance based on a local agent, and obtaining a short-term security credential by the local agent; wherein the short-term security credential comprises the target service instance identifier; establishing, by the local agent, an encrypted communication channel with a remote agent using the short-term security credential; the remote agent extracts the target service instance identifier from the short-term security credential and obtains a real-time network address of the target service instance; and sending, by the remote agent, the received debugging traffic to the real-time network address of the target service instance. Identity authentication and authorization are realized through a short-term security certificate, and security and credibility of a debugging request are ensured; the security risk in the debugging process is reduced, and the flexibility and efficiency of cross-network environment debugging are enhanced.

.Systems, methods, and instrumentalities may be configured to enable network-assisted registration for power-constrained loT devices. A first network node may send a first message to a second network node, including any of an aioT WTRU event triggering request for registration initialization. This request may include a CDAF instance identifier, registration trigger, aioT WTRU identifier, security seed, aloT category, capabilities, WTRU type, and / or energization information. The first network node may receive a registration triggering notification from the second network node, and in response, send a registration triggering notification response. The first network node may receive a registration accept message, including any of an aioT identifier, CDAF instance identifier, WTRU fingerprint, and / or encrypted identity information. The first network node may send a second aioT WTRU event triggering request for registration acceptance.

Embodiments are directed to systems and techniques to process inference requests in a fine-tuned model environment. Embodiments include receiving a request to perform a task using the fine-tuned model. Determining whether an instance of the fine-tuned model, which includes a specific layer identified by a model instance identifier, is currently executing in an orchestration platform's environment. If the instance of the fine-tuned model is not currently executing, embodiments include proceeding to load the identified layer into a base model within the environment. This process generates an instance of the fine-tuned model to perform the requested task.

The embodiment of the invention provides a video batch generation method and device, a storage medium and a program product. In the embodiment of the invention, an initial video template is subjected to variable processing to obtain material templates of various material types, and the material templates are recombined to obtain a video template required for generating a video, so that a target material template for recombining is determined according to a group of video materials corresponding to each video instance identifier, and the target material template is used for generating the video. The target material templates are recombined according to the hierarchical relation between the material templates, and the video templates corresponding to the video instance identifiers are obtained and used for video generation processing of the video instance identifiers; the video template is obtained by carrying out personalized recombination in combination with the video material for generating the video, so that the flexibility of video generation is improved; the recombined video template and the video instance identifier have a corresponding relationship, so that the types of the video templates are enriched, the style of each video generated in batches is matched with the corresponding video template, and the diversity of video contents is improved.

The present disclosure relates to a method and a system for configuring and managing proxy registrations in a network The disclosure encompasses: receiving one or more proxy registration requests for registration of one or more proxy services to a service communication proxy (SCP) controller over an interface, wherein the one or more proxy registration requests are received in one of a startup event and during an update event; defining a service instance identifier with each of the one or more proxy services during the registration; updating one or more service attributes associated with one or more proxy services, at the SCP controller [302], based at least on the one or more proxy registration requests of the one or more proxy services; and sending an update registration request to a Network Repository Function (NRF) comprising information of a set of network instances.

The invention discloses a path planning method and system based on multi-modal joint integration, and the method employs an image processing and deep learning technology to automatically recognize and eliminate the influence of a dynamic object, and guarantees that SLAM and VIO systems are only matched with a stable static background object. According to the technical scheme, firstly, feature points in an input image are preliminarily screened and matched through the image feature point matching technology; and then introducing a deep learning network to carry out refined segmentation and instance identification. The deep learning network can accurately distinguish a static object from a dynamic object, and accurately identify the existence of the dynamic object in a complex scene. After the dynamic objects are identified, the dynamic objects are eliminated from the feature matching process by adopting an intelligent elimination strategy, so that the SLAM and VIO systems are ensured to perform feature matching and positioning calculation only based on stable static background objects, the negative influence of the dynamic objects on the positioning precision is avoided, and the stability and applicability of the system in a complex dynamic environment are improved.

The embodiment of the invention provides a video batch generation method and device, a storage medium and a program product. In the embodiment of the invention, the description information of the various materials is acquired for each video instance identifier, the multiple material generation models based on artificial intelligence are called to generate the video materials based on the description information of the various materials, and the various video materials corresponding to each video instance identifier are generated, so that the video material resources are enriched, and the video processing efficiency is improved. The diversity of video contents is improved; and moreover, the video template of each video instance identifier is determined according to the various video materials corresponding to the video template, and the video templates have corresponding relations, so that the types of the video templates are enriched, and the diversity of generated video contents is further improved. Besides, the video materials are uploaded to the content distribution network so as to acquire various video materials corresponding to the video instance identifier from the content distribution network, and video generation is performed in combination with the corresponding target video template, so that the load pressure of the server is reduced and the generation efficiency is improved through hosting of the content distribution network.

The embodiment of the invention provides a timed task creation method and device, a medium and equipment, and the method comprises the steps: receiving a timed task creation request which carries a to-be-executed instruction; creating a target timed task according to the to-be-executed instruction; key information in the instruction to be executed is extracted, and a target identification code used for identifying a target timed task is constructed according to the key information; matching the target identification code with a historical identification code pre-stored in a task scheduler, wherein the historical identification code pre-creates a corresponding historical task instance; and if the historical identification code matched and consistent with the target identification code exists in the task scheduler, performing association mapping on the target timed task and an instance identifier of a historical task instance in the task scheduler. By utilizing the timed task creation method provided by the embodiment of the invention, a task scheduler does not need to retrieve task instances for multiple times when executing batch timed tasks, so that the scheduling pressure of the task scheduler is reduced.

Systems and methods are described herein for generating, training, and federating machine learning models to detect anomalous or rare-event activity in sensitive electronic data, such as financial transactions. In some implementations, configuration information for a machine learning script (MLS) is obtained. The MLS is generated by a server based on the configuration. Data representing the MLS is provided to a user device. The user device is caused to perform operations when executing the MLS. An instance of a machine learning model is trained based on the MLS. One or more parameters associated with the instance of the machine learning model are identified. Data representing the one or more parameters associated with the instance of the machine learning model are received by the server from the user. A federated model is generated based at least in part on the received data representing the identified parameters and provided for output.

A wireless transmit / receive unit (WTRU) may include a processor. The WTRU may be configured to receive a configuration request from a multi-access edge computing (MEC) application client. The WTRU may be configured to determine a host on which the service instance is running based on one or more of the service URL or the service instance identifier. The WTRU may be configured to send the configuration request to the host for sending to the service instance. The configuration request may include the one or more application characteristics and the configuration information. The WTRU may be configured to receive a configuration response message that indicates a service profile identifier associated with the configured service instance for the application client.

The invention discloses a PC component BIM twinborn collaborative exchange method based on deep learning, and aims to solve the problems that unstructured multi-modal data of a site or a factory is difficult to automatically identify the identity, the state and the quality of a PC component and accurately map the unstructured multi-modal data with BIM twinborn objects one by one, and increment updating capable of realizing multi-party collaborative exchange is difficult to form. According to the method, time synchronization and coordinate calibration preprocessing is carried out on image data, video data and point cloud data, component instance recognition and feature extraction are carried out by using a deep learning model, and component state information and component quality information are generated; analyzing a BIM twinborn model to obtain priori features such as a unique identifier of a component, a component type, a size parameter, a spatial position and component geometry, performing cross-modal feature fusion under priori guidance, generating a candidate matching relationship, and constructing an optimal transmission cost matrix containing feature difference and constraint penalty to obtain a soft matching matrix; one-to-one mapping is obtained by adopting matching confidence rejection and assignment solution, an identification result and an evidence data index are written into a twinborn object, component-level difference is carried out on the twinborn object and a previous version to generate evidence increment exchange data, and the technical effects of high-reliability automatic updating and traceable cooperative exchange of the component-level twinborn model are achieved.

The invention discloses a vector database multi-copy cluster management system and method. A load balancing module in the system receives a vector data processing request message which is initiated by a user terminal and at least carries an instance identifier of a target instance for processing vector data; the load balancing module forwards the vector data processing request message to any first vector database proxy service module corresponding to a first vector database copy in a normal state in the target instance according to the instance identifier; the first vector database proxy service module executes corresponding processing operation on the vector data according to the vector data processing request message to obtain a processing result, and feeds back the processing result to the load balancing module; and finally, the load balancing module feeds back a processing result to the user terminal. According to the method and the device, the technical problem of relatively low data processing efficiency caused by incapability of performing unified management on different types of vector database multi-copy clusters in related technologies is solved.

The present application belongs to the technical field of communications. Disclosed are a computing power scheduling method, and a device and a medium. The computing power scheduling method comprises: in response to a computing power request message having been received, on the basis of a flow computing power forwarding table corresponding to the computing power request message, determining a network path and a service instance identifier which correspond to the computing power request message; and on the basis of the network path and the service instance identifier, forwarding the computing power request message to a corresponding computing instance.

The invention discloses an enterprise digital transformation effect intelligent evaluation system based on multi-modal data fusion, particularly relates to the field of enterprise management and data analysis, and is used for solving the problems of conclusion drift and vacancy of a recheck chain caused by caliber adjustment and evidence deficiency in an existing evaluation scheme. A mapping windowing module establishes mapping from an intervention event number to an object instance identifier and defines an event window, and an evidence entry module generates an evidence entry in the event window, adds an identifier and writes the evidence entry into an evidence account. The recalculation judgment module executes caliber contrast marking and calculates influence intensity and consensus degree synthesis playback trigger value to determine a recalculation range output conclusion, and the check write-back module reads subsequent check results, revises window boundaries and rules and writes the window boundaries and rules into a version management table to drive the next period, so that unified anchoring and dynamic recalculation of multi-source evidences are realized. And the traceability and consistency of evaluation are ensured.

The application relates to a session instruction distribution method and device, equipment, a storage medium and a program product. The method comprises the following steps: receiving a current instruction in a current session, the current instruction being an instruction for calling a target object, and the current instruction carrying a current session identifier corresponding to the current session; for each instance identifier in an instance identifier set, determining a target weight corresponding to the instance identifier based on the current session identifier and the instance identifier, the instance identifier representing an instance for running the target object; selecting a target instance identifier from the instance identifier set based on the target weight, and distributing the current instruction to a target instance represented by the target instance identifier for execution. The method can improve the execution effect.

The application provides an information query method and device and a storage medium, relates to the technical field of computers, and is used to solve the technical problem that general technology has strong code invasiveness when performing full-link monitoring on a PaaS platform. The method comprises the following steps: acquiring a to-be-queried time and a to-be-queried instance identifier corresponding to a to-be-queried resource instance; determining a to-be-queried link identifier based on the to-be-queried time, the to-be-queried instance identifier and a pre-established identifier information set; the identifier information set comprises a plurality of link identifier sub-sets corresponding to a plurality of instance identifiers in a one-to-one manner; the link identifier sub-set comprises a plurality of link identifiers corresponding to a plurality of historical times in a one-to-one manner; the to-be-queried link identifier is used to identify a service link associated with the to-be-queried resource instance; and link information of the service link associated with the to-be-queried resource instance is determined based on the to-be-queried link identifier.

The invention provides a communication message transmission method based on an SRB bus and related equipment, which are applied to the field of data communication, the method can be implemented in an SRB bus system, the system comprises a plurality of SRB subsystems, each subsystem comprises a plurality of communication equipment, and any subsystem and the subsystem having a connection relationship share the communication equipment; the method comprises the following steps: when a current communication device receives a communication message, determining whether the current communication device is a shared device, and if the current communication device is the shared device, determining an instance identifier carried in the communication message; determining an SRB subsystem to which the instance identifier belongs; and in the SRB subsystem to which the instance identifier belongs, determining a forwarding port corresponding to the instance identifier, and transmitting the communication message by the forwarding port. According to the transmission method provided by the invention, only the communication message is transmitted to the set forwarding port, so that the message is prevented from being transmitted to all communication equipment by broadcast communication, and the normal use of each communication equipment is ensured.

The embodiment of the application provides a kind of method and system based on the object dynamic generation of reflection mechanism, it is related to the technical field of C++ programming technique.The method comprises the following steps: establishing the mapping relationship between multiple class identifiers and multiple creator functions;Receive configuration file, and determine at least one object definition item based on the configuration file;According to the class identifier contained in the target object definition item, retrieve the corresponding creator function from the mapping relationship;According to the construction parameter, call the creator function to obtain the object instance corresponding to the instance identifier contained in the target object definition item.Through the application, the problem of low efficiency of instance object development is solved, and the effect of improving the efficiency of instance object development is achieved.