72 results about "Instance Identifier" patented technology

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 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.

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 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.

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.

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.

The invention provides a timer life cycle management method and device, equipment and a storage medium, a system timer object is created through a timer management instance, a timer callback function is registered in an operating system timed task interface, when a cycle corresponding to a timed cycle field is reached, task logic in a task function field is automatically triggered, and the timed task is automatically called. Therefore, precise scheduling and unified management of the timed tasks are realized. By setting the instance identification field and the running state flag field in the timer management information, each timer object can be uniquely identified and tracked, and the problem of repeated creation or state disorder is avoided. Furthermore, a stop signal is received through a monitoring coroutine in a stop stage, so that the safe termination of a timed task and the automatic release of resources are realized, and the reliable recovery of a timer and the stable operation of the system are ensured.

This invention belongs to the field of text retrieval technology, specifically referring to an automatic retrieval system for digital economy texts. The system includes a basic task instance identification module, a key instance association mining module, a tag local score estimation module, a global tag configuration module, a noise tag configuration generation module, and a precise digital economy text retrieval application module. This solution uses two dedicated multilayer perceptrons to calculate semantic and syntactic dependency weights and fuse them to obtain the final association strength, achieving precise capture of digital economy instances and their associations. It combines global tag configuration to quantify the tightness of instance tag associations, and uses the noise tag configuration generation module to transform the global optimal tag configuration problem into a binary classification problem. By constructing a contrastive loss function and optimizing it through backpropagation, it efficiently solves the problem of computational explosion, achieving concept-based precise retrieval and intelligent decision support, providing users with an efficient digital economy information acquisition experience.

The embodiment of the present disclosure provides a network intention processing method and related equipment, and belongs to the technical field of network. The method comprises the following steps: a user use case interactive interface (UUI) acquires a first network intention of a first object, the first network intention being voice information comprising a first business requirement proposed by the first object; the UUI performs translation processing on the first network intention to obtain first network intention translation information, the first network intention translation information being text information comprising the first business requirement; the UUI acquires a first intention instance identifier of the first object; the UUI generates a first intention instance, the first intention instance comprising the first network intention translation information and the first intention instance identifier; according to the first intention instance, first scene use case service identifier information and first scene use case service information that match the first business requirement are determined; and the first intention instance, the first scene use case service identifier information and the first scene use case service information are associated and stored to an active available resource library (AAI).

The embodiment of the invention discloses an intelligent contract transaction backtracking verification method and device, electronic equipment and a readable medium. The method comprises the steps of obtaining a contract voucher sent by an intelligent contract operation management mechanism system, wherein the contract voucher comprises a contract instance identifier, input data called by a contract function, environment interface configuration information and a contract instruction execution sequence number; the contract vouchers are sorted and stored according to the contract instruction execution sequence numbers, and contract codes are acquired from the local according to the contract instance identifiers; the contract code is loaded in the contract execution environment, and environment interface configuration information is processed through simulation logic; contract calling is executed based on the input data, transaction backtracking is carried out on the contract vouchers in sequence, and the consistency of the execution result of transaction backtracking and the environment interface configuration information is verified. According to the embodiment of the invention, the transaction backtracking of the smart contract can be realized based on the contract voucher in the centralized system, thereby guaranteeing the traceability and non-tampering performance of the transaction, and improving the transaction safety.

Methods, systems, and computer storage media for providing a multi-attribute cluster-identifier that supports identifying malicious activity in computing environments. An instance of an activity having an attribute set can be assessed. The attribute set of the instance of the activity is analyzed to determine whether the instance of the activity is a malicious activity. The attribute set of the instance of the activity is compared to a plurality of multi-attribute cluster-identifiers of previous instances of the activity, such that, a determination that the instance of the activity is a malicious activity is made when the attribute set of the instance of the activity corresponds to an identified multi-attribute cluster-identifier. The identified multi-attribute cluster-identifier has a risk score and an attribute set that indicate a likelihood that the instance of the activity is a malicious activity. A visualization that identifies the instance of the activity as a malicious activity is generated.

This invention relates to the field of network communication technology, specifically to an intelligent access control method and system based on a zero-trust architecture between microservices, solving the technical problem of poor security protection in existing technologies. The method includes: acquiring the kernel network operation records of a container instance; the kernel network operation records include a set of context information corresponding to network operations triggered by the container instance at the operating system kernel layer; querying the corresponding resource status based on the container instance identifier in the context information set corresponding to the network operation, and calculating the effective quota in conjunction with the triggering time; the effective quota is used to characterize the current network resource budget that the container instance can consume; performing resource consumption matching analysis based on the context information set corresponding to the network operation to determine the actual resource consumption value; the actual resource consumption value is used to characterize the network resource quota required for the network operation; and performing access control decisions on the network operation based on the effective quota and the actual resource consumption value.

The invention belongs to the technical field of software automation testing, and provides an application state snapshot detection and bifurcation execution method and device, equipment and a medium, and the method comprises the steps: distributing instance identifiers and session identifiers for virtual instances of a running target Android application, and constructing a mapping table of the instance identifiers and the session identifiers; according to the mapping table, an incremental snapshot and fingerprint technology is adopted to collect snapshot content of the virtual instance according to the triggering opportunity, the snapshot content is stored in an associated mode according to the mapping table, and a snapshot generation process is determined through a session access index table; performing state recovery and operating environment isolation on the bifurcation instance according to the photo generation process; and creating a plurality of sub-process instances for each bifurcated instance, and debugging the bifurcated instances according to the debugging strategy and the modification configuration to obtain a debugging result. The method has the beneficial effects that the abnormal points can be carried and reproduced, and the detection accuracy and efficiency of faults, especially even faults, are improved.

The application provides a micro-service instance loading method and device, and relates to the field of computer software.The method comprises the following steps: in response to a first instruction, determining a target instance identifier; based on the target instance identifier and a first mapping relationship, determining a target iframe; and loading a target micro-service instance by using the target iframe and a target storage address corresponding to instance data of the target micro-service instance.The application decouples an HTML page and an iframe by using an instance identifier of a micro-service instance, realizes dynamic management of the micro-service instance, and reduces page resource waste.

This invention discloses a method and system for intelligent agent cluster collaboration and skill transfer learning. The method includes: supporting the deployment of multiple intelligent agent instances by department, project, or scenario and registering them to a cluster registry. The cluster registry contains instance identifiers, instance names, departments or projects, and online status. Instances within the cluster discover each other and negotiate task allocation through the registry. It adopts three collaborative modes: task delegation, result sharing, and parallel task allocation, corresponding to pipeline, parallel, and master-slave architectures. The participant types on the skill exchange platform are expanded to include staff and intelligent agent instances, with `participant_id` corresponding to employee or instance identifiers. Intelligent agents or employees publish "I want to learn" or "I can teach," and the platform matches them based on ability tags or skill identifiers. The requesting party initiates a migration request to the provider, who returns a skill definition containing skill identifiers, triggers, and processing logic. After review, this is included in the skill registry. Employees convert SOPs into skill definitions and publish "I can teach." After intelligent agents publish "I want to learn," they are matched with employees. The migration request and the employee return skill definitions, which are then reviewed to form executable skills, realizing human-teaching intelligent agents. This invention achieves cluster formation, feasible collaboration, exchangeable and transferable skills, and feasible implementation of human-teaching intelligent agents.

The invention provides a consistency verification method, device and equipment, and relates to the technical field of computers or databases. The method comprises the steps of obtaining a submitted transaction event and generating a standardized event tuple, wherein the standardized event tuple comprises a global submission serial number, a time window identifier, a key space fragment identifier, a transaction intention abstract, a result set hash and a database instance identifier; a Merkel directed acyclic graph is constructed based on the standardized event tuple, the Merkel directed acyclic graph takes time window identification and key space fragment identification as dimensions, and a window root and a global root are generated through step-by-step aggregation; window roots are exchanged across database instances and consistency verification is performed. According to the method, the consistency verification efficiency can be improved.

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 in a user state virtual switch and associating the virtual interface with a hardware virtual function instance identifier; 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.

The embodiment of the invention discloses a control processing method, device and equipment, a computer readable medium and a program product. A specific embodiment of the method comprises the following steps: acquiring a control identifier corresponding to a target multiplexing control; a control instance corresponding to the target reuse control is generated, and the control instance comprises an instance identifier corresponding to the control instance and the control identifier; and executing an instance processing operation for the control instance, and recording the target multiplexing control to a multiplexing control processing device. The implementation mode is related to multiplexing control processing, and under the condition that the storage space of the control instance is reduced, processing such as generation of the control instance can be effectively achieved.

The invention discloses a multi-round dialogue process control method and system for visualized verbal skill configuration. The method comprises the following steps: acquiring concurrent session input texts from a plurality of interactors, and generating a unique session instance identifier and an interactor identity tag for each session input text; generating a token set of each interactor according to the session input text, establishing a mapping relationship between a tag and the token set, and updating a token attribution session based on a session relationship mapping table; calculating the session dependence degree among the interactors; determining an operation execution priority of each interactor according to the session dependence degree, and executing conflict resolution; adjusting the response delay and the execution queue of the operation request of each interactor based on the conflict resolution result; and outputting an operation execution log including the token attribution change record and the operation execution priority adjustment. According to the method and the system, the intelligent level and the user experience of a multi-round dialogue system are remarkably improved.

The application provides a scene text extraction method without fine-grained detection. First, the obtained text image is input into a pre-trained text block detector to enable the text block detector to detect and crop the text image to form a text block image. Then, a pre-trained text block recognizer is used to obtain a semantic feature vector and a position feature vector of the text block image based on a text block feature map. Feature fusion and splicing are performed based on the semantic feature vector and the position feature vector to obtain a predicted feature, and a predicted text corresponding to the predicted feature is obtained. This framework combining coarse-grained detection and multi-instance recognition can reduce the detection burden, and the rich context information can be used for recognition. The text block detector can be trained by a text block level data set generated by a heuristic text block generation method based on a real data set, and high-precision text extraction can be achieved without fine-grained detection.