144 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.

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.

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.

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 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.

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 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.

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.

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 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.

The application relates to a bidirectional message processing method based on a unified user state channel and belongs to the technical field of virtualized communication, which solves the problems of CPU idle rate, high memory occupation and aggravated message processing delay caused by large-scale virtual function representative port polling. The method comprises the following steps: creating a virtual interface and an association relationship between the virtual interface and a hardware virtual function instance identifier in a user state virtual switch; establishing a user state channel as a shared bidirectional message transmission path between a plurality of hardware virtual function instances and the user state virtual switch; constructing extended metadata containing the hardware virtual function instance identifier, obtaining transmission data according to the extended metadata and a to-be-processed message; receiving and analyzing the transmission data through the user state channel to obtain the to-be-processed message and the extended metadata, and then determining a forwarding rule of the to-be-processed message and executing the forwarding of the to-be-processed message. The method realizes accelerated processing of the bidirectional message without polling and significantly reduces the memory resource occupation.

Embodiments of the application disclose a method and device for addressing communication, electronic equipment and storage medium, and relate to the technical field of communication. The method comprises: obtaining a client identifier of a client and a service identifier of a target service; generating a first private layer packet header based on the client identifier, the service identifier and a general instance identifier, and encapsulating the first private layer packet header and an original addressing request data packet to obtain a first private layer data packet; generating a first link layer packet header based on a physical address of the client and a preset broadcast address, and encapsulating the first link layer packet header and the first private layer data packet to obtain a target addressing request data packet; broadcasting the target addressing request data packet in a preset local area network, so that at least one service instance feeds back an addressing response data packet of the target addressing request data packet; and determining a target service instance for communication with the client from the at least one service instance according to feedback time of the at least one service instance, thereby improving addressing efficiency and addressing accuracy.

A computing environment determines, by an initialization process, a monitor instance identifier of an instance of an application, wherein the initialization process initializes monitoring of the instance of the application. The computing environment generates, by the initialization process, a system call argument based on a pseudo-randomly generated identifier. The computing environment makes, by the initialization process, a system call comprising the system call argument. The computing environment determines, by a kernel-space Berkeley packet filter (BPF), to monitor the instance of the application based on the system call. The computing environment extracts, by the kernel-space BPF, the pseudo-randomly generated identifier from the system call argument to obtain the monitor instance identifier. The computing environment stores, in a watch list, the monitor instance identifier and the pseudo-randomly generated identifier. The computing environment obtains instrumentation data using the monitor instance identifier and the pseudo-randomly generated identifier.

Multiplexing of encrypted tunnels is facilitated by the use of a custom header. Upon receiving a packet, information about the packet is collected stored, such as a port number, destination instance identifier, and a hash key. A custom packet is generated that includes the encrypted packet and a custom header including some or all of the collected information. Middleware may retrieve information from the custom header to perform load balancing, routing, or other function. The destination instance may use information from the custom header to obtain the port number, which may be changed in the custom packet to accommodate limitations of the middleware.

Systems, methods, and tools may be configured to enable network assisted registration for power limited IoT devices. The first network node may send a first message to the second network node, the first message including any of the aIoT WTRU event trigger requests for registration initialization. The request may include a CDAF instance identifier, a registration trigger, an aIoT WTRU identifier, a security seed, an aIoT category, capabilities, a WTRU type, and / or power-on information. The first network node may receive a registration trigger notification from the second network node and, in response, send a registration trigger notification response. The first network node may receive a registration acceptance message that includes any of an aIoT identifier, a CDAF instance identifier, a WTRU fingerprint, and / or encrypted identity information. The first network node may send a second aIoT WTRU event trigger request for registration acceptance.

Disclosed herein are system, method, and computer program product embodiments for identifying and removing orphan data in a Database-as-a-Service (DBaaS) cloud computing platform. In embodiments, a workflow is executed that accesses an event service database of the platform to obtain a list of deleted customer entities, queries a control plane of the platform to obtain a list of existing DBaaS instances, determines that a particular existing DBaaS instance is associated with a particular deleted customer entity, identifies the particular existing DBaaS instance as a potential orphan DBaaS instance, validates that the particular existing DBaaS instance is an orphan DBaaS instance, and in response to validating that the particular existing DBaaS instance is an orphan DBaaS instance, performs one or more of generating an alert that identifies the particular existing DBaaS instance as an orphan DBaaS instance or removing the particular existing DBaaS instance from the DBaaS cloud computing platform.

The invention discloses a virtual scene construction system and method based on three-dimensional modeling, and relates to the technical field of three-dimensional modeling, and the method comprises the steps: carrying out the data cleaning and standardization of original multi-source data, converting all original multi-source data into a unified global coordinate system, and obtaining an initial pose; the method comprises the following steps: establishing a bottom-layer feature corresponding relationship among different multi-source data by using a neural network algorithm, carrying out matching, constructing a global optimization mechanism, voxelizing a dense grid into a three-dimensional grid, carrying out three-dimensional semantic segmentation and instance recognition on fused data in the three-dimensional grid by using a deep learning algorithm, and carrying out multi-source data fusion. Presetting a parameterized model library of each instance component, calculating the comprehensive similarity between each instance component and a parameterized model in the parameterized model library, constructing a loss function to measure the difference between the parameterized model and the original data of the instance component, and constructing a three-dimensional virtual scene by using the optimal parameterized model and the semantic segmentation grid.

A method is provided. The method comprises the steps that first task instance information about a first task instance of a first task is obtained, and the first task instance information comprises at least one of the following items: a task instance identifier (MIID) which identifies the first task instance; a task identifier (MID), which is used for identifying the first task, and a task identifier (MID), which is used for identifying the first task; instantiation information describing at least one computing block (CB) instance in the first task instance; execution mode information describing a mode of executing the first task on the first task instance; the authorization information indicates a plurality of devices allowed to access the first task instance; a time validity condition indicating when the first task instance is valid; a spatial validity condition indicating where the first task instance is valid; or application information, the application information indicating at least one application associated with the first task instance and specifying a value of a task parameter associated with the at least one application; and sending a first request to a task open function (MEF) network entity, the first request including the first task instance information, and the first request indicating management related to the first task instance.

The application discloses a path planning method and system based on multi-modal joint integration, which automatically identifies and excludes the influence of dynamic objects by using image processing and deep learning technology, and ensures that the SLAM and VIO systems only match stable static background objects. The technical scheme is as follows: first, the image feature point matching technology is used to preliminarily screen and match the feature points in the input image. Then, a deep learning network is introduced for fine segmentation and instance recognition. The deep learning network can accurately distinguish between static objects and dynamic objects, and accurately identify the existence of dynamic objects in complex scenes. After identifying the dynamic objects, intelligent exclusion strategies are adopted to exclude these dynamic objects from the feature matching process, ensuring that the SLAM and VIO systems only perform feature matching and positioning calculation based on stable static background objects, avoiding the negative impact of dynamic objects on positioning accuracy, and improving the stability and applicability of the system in complex dynamic environments.

The invention provides a program skin customization method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining an instance identifier corresponding to a drawing event in response to an interception operation of the drawing event; if the instance identifier is a non-empty character string, modifying the appearance attribute of the target control meeting the skin customization condition based on the instance identifier; and completing drawing and rendering of the target control according to the modified appearance attribute based on a preset event distribution method. Through the implementation of the scheme of the invention, based on the application of the identifier and the interception operation of the drawing event, the appearance attribute of the control is modified on the premise of not modifying the existing business code, the skin customization logic and the business logic in the processing process are completely separated, and the modification of the skin configuration does not influence the stability of the business function; the non-invasive skin customization is realized, and the system maintenance risk is reduced.

A service authorization method and a communications apparatus to resolve a problem that, in a scenario in which a second server is discovered by a client, a first server fails to obtain service authorization to access the second server, so as to reduce a security risk of a service-based network. The method includes: applying, by the client on behalf of the first server, for an access token for the first server to access the second server, and notifying the access token to the first server. Alternatively, the first server applies for the access token based on an instance identifier or a resource identifier of the second server that is provided by the client.