30 results about "Instance Identifier" patented technology

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 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.

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.

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).

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 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.

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 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.

This application provides a method, apparatus, device, medium, and product for tracing and locating abnormal behavior in containers, which can be applied to the field of cloud computing technology. The method includes: in response to receiving an abnormal behavior prompt for a container host, determining a first connection identifier corresponding to the abnormal behavior prompt; the first connection identifier represents the host-side network connection information after source network address translation; retrieving a corresponding second connection identifier from a mapping table based on the first connection identifier; the second connection identifier represents the container-side network connection information before source network address translation; querying the container runtime environment based on the second connection identifier to determine the container instance identifier that triggered the abnormal behavior prompt; wherein, the mapping table is generated by a target program mounted on the kernel network address translation processing path; the target program is executed in response to a source network address translation event.

The method comprises the following steps: in response to a first update message of target data being received by a service instance in a service instance cluster; obtaining an instance identifier of each service instance included in an instance information list corresponding to the first update message, and obtaining an instance identifier of each service instance included in the service instance cluster; determining a target service instance in the service instance cluster that is not synchronized with the target data according to the instance identifier of each service instance included in the instance information list and the instance identifier of each service instance included in the service instance cluster; and sending a second update message of the target data to the target service instance according to a target instance identifier of the target service instance, the second update message being used for the target service instance to load the target data. The method can improve consistency of data synchronization.

Embodiments of the present application provide a data processing method and device, electronic equipment, storage medium and program product. The method comprises: generating a task instance identifier of a target task according to a task type and a scheduling time window of the target task. Attempting to insert a task instance corresponding to the target task into a database with the task instance identifier as a database primary key. If the attempt to insert the task instance into the database fails, terminating task processing and outputting a prompt information, the prompt information being used to represent that the task instance already exists within the scheduling time window. If the attempt to insert the task instance into the database succeeds, triggering an execution engine to execute the task instance. The method is used to reduce the waste of system resources of a distributed system.

A snapshot management method based on cloud computing technology includes: obtaining a target instance identifier input by a user, the target instance identifier indicating multiple target cloud instances in a cloud instance set; obtaining association attributes input by the user, the association attributes indicating the association relationships between the multiple target cloud instances; and creating a first snapshot based on the target instance identifier and the association attributes. In this application, the method constructs a snapshot for executing a target task by receiving multiple cloud instances selected by the user and the association relationships between them. The snapshot created by this method can quickly complete the creation and restoration of resources in a specified cloud instance and establish the association relationships between cloud instances, ensuring that the resources in the specified cloud instance can execute the target business. When executing the target business, this method does not orchestrate the resources of the corresponding cloud instance, allowing the resources of the corresponding cloud instance to execute other businesses after completing the target business.

This invention discloses a network slice resource collaborative management method for edge computing, comprising the following steps: Step 1: Generating slice collaborative sample units for the network slices to be managed; Step 2: Constructing a slice resource collaborative heterogeneous graph based on the slice collaborative sample units; Step 3: Generating a slice coupling representation sequence using an improved HGNN model; Step 4: Performing a splitting process on the slice coupling representation sequence according to the slice instance identifier to generate a candidate collaborative action set; Step 5: Injecting the candidate collaborative action set item by item into the shadow slice body generated by the current real running state of each slice instance, and performing counterfactual inference processing to form an action result trajectory set; Step 6: Performing business constraint verification processing on each trajectory in the action result trajectory set to generate a stable collaborative action sequence. This invention achieves intelligent collaborative management of edge slices through an improved HGNN model.

The application provides a kind of declarative mapping conversion method between ontology and decision model, comprising: obtaining pre-defined declarative mapping configuration file, to describe the corresponding relationship between ontology class and decision model input type with structured data format, and the corresponding relationship between ontology attribute and decision model input field;Receive data block containing ontology instance identifier and decision identifier;According to the decision identifier, obtain the mapping configuration file and extract the attribute list required for query;Query ontology instance to obtain attribute value set;Traverse attribute mapping information, and convert attribute value set into decision model input context according to the declared mapping relationship.The application completely separates conversion logic from program code through declarative mapping configuration, supports expression mapping, object attribute cascading mapping, dynamic attribute automatic processing and batch query optimization, and has mapping configuration hot update and conversion failure hierarchical fault tolerance capability, which greatly reduces system maintenance cost.

The application provides an intelligent diagnosis method for a distributed system, which comprises the following steps: determining a sequence of weighted log template entropy of each service instance in the distributed system based on logs of each service instance in the distributed system, taking a first preset time window as a sliding window; generating an entropy variation abnormal event and publishing when an entropy value of any one of the sequences exceeds a confidence interval of an adaptive dynamic baseline of the sequence; wherein the confidence interval of the adaptive dynamic baseline is determined by a time series prediction model, and the entropy variation abnormal event at least comprises an abnormal service instance identifier and an abnormal timestamp; when a number of the entropy variation abnormal events detected within a second preset time window is greater than an event threshold, performing root cause positioning to form a list of abnormal root source suspects; forming a diagnosis prompt word for each suspect service in the list of abnormal root source suspects, and inputting the formed prompt word into a large language model; and analyzing and forming an intelligent diagnosis result by the large language model. The application also provides a corresponding system, an electronic device and a program product, etc.

This invention relates to the field of machine vision technology and discloses a method, apparatus, device, and medium for object pose recognition and grasping. The method includes: receiving a natural language instruction containing target semantics, and acquiring visual information corresponding to the warehousing operation environment based on the natural language instruction, wherein the target semantics includes a target object; inputting the visual information and the natural language instruction into a pre-trained end-to-end visual language action model for cross-modal alignment and fusion to generate an instance recognition result of the target object and a candidate grasping pose corresponding to the instance recognition result; transforming the candidate grasping pose to a pre-constructed robot base coordinate system, and optimizing the candidate grasping pose after the coordinate system transformation based on kinematic constraints to obtain a robot joint trajectory sequence; controlling the warehousing robot to execute the joint trajectory sequence to complete the grasping of the target object. This invention improves the accuracy of object pose recognition and grasping.

A computing system may include an instance identification engine configured to determine a selected subset of pattern instances of a programmatic pattern used to represent a geometry of a computer-aided design (CAD) object, including by identifying a CAD operation to perform on the CAD object; determining a sampled point set in the CAD object applicable to the CAD operation; providing the sampled point set as an input to an inversion machine-learning (ML) model trained to output a given pattern instance of the programmatic pattern for an input point of the CAD object; and determining, as the selected subset, an output set of pattern instances provided by the inversion ML model for the sampled point set. The system may also include an object incarnation engine configured to incarnate a geometry of the selected subset of pattern instances to perform the CAD operation on the CAD object.

The application discloses a communication method and device, a communication device, a storage medium and a program product. The method comprises the following steps: a first network function sends first information to a second network function, wherein the first information is used for indicating a first capability of the first network function, and the first capability is related to energy-related information; the method further comprises the following steps: a third network function sends third information to the second network function, wherein the third information comprises at least one of the following: a target capability; third indication information, wherein the third indication information is used for requesting all or part of first information of a network function, the first information is used for indicating a first capability of the network function, and the first capability is related to energy-related information; a category of the network function; address information of the network function; and an instance identifier of the network function.

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

The application discloses a cross-system real-time synchronization method and device for process task data. The method comprises the following steps: defining a standard data transmission object comprising a task identifier, a process instance identifier, an approval state and an approval opinion; implanting a synchronization trigger at four key nodes of process starting, task completion, rejection and transfer, collecting process engine data in real time and pushing the process engine data to a business system; and performing an update operation after the business system receives the data, so as to ensure the consistency of data in the two systems. The application replaces a traditional polling mode with an event-driven mechanism, solves technical problems such as data islands, state asynchronization and low query efficiency, realizes real-time, complete and accurate synchronization of process task data, reduces the coupling degree of the system, supports approval track tracing and department dimension statistical analysis, and improves the digital level of enterprise process management.

The application discloses a kind of based on single thread multiplexing and off-screen rendering Web multi-video concurrent processing method, comprising: creating globally unique shared decoding thread, for each video distribution virtual instance identifier and establish the mapping relationship with decoding context, the rendering control right of canvas element is handed over to the shared decoding thread, decoding is executed in the thread based on identifier routing and direct completion graphic rendering, form the closed loop that decoding and drawing are both closed in background;Measure first frame rendering time consumption, limit time trigger fuse degradation makes video instance switch to controlled step mode.The application will thread resource overhead fixation, eliminate pixel data cross thread copy, release main thread rendering load, and realize adaptive degradation alive under extreme load.

A method facilitating soft deletion and restoration of clustered file systems includes, in response to receiving an instruction to temporarily disable a computing cluster, creating, by a system including at least one processor, snapshots of volumes associated with a virtual machine (VM) of the computing cluster; generating, by the system, mapping data representative of a mapping between snapshot identifiers, of the snapshots of the volumes associated with the VM, and an instance identifier of the VM; and, in response to the mapping data being determined to have been successfully generated, deleting, by the system, the VM.

The application provides a process running method and device, electronic equipment and storage medium. The method comprises the following steps: obtaining a work process instance identifier of a to-be-run process; obtaining a corresponding work process instance according to the work process instance identifier; wherein the work process instance comprises a stage process, the stage process comprises a plurality of measures, and the plurality of measures can be executed simultaneously without gateway judgment when the corresponding stage process is called; and running the work process instance to execute the plurality of measures. According to the application, the stage process capable of being executed simultaneously without gateway judgment is introduced into the work process instance, and the efficiency of the work process running is improved because the gateway judgment node is reduced.

The application provides a reversible intelligent mapping method for desensitized medical ultrasonic data, and relates to the technical field of ultrasonic data processing, and comprises the following steps: analyzing original ultrasonic DICOM data; generating a random salt value, encrypting the check serial number and the random salt value by using an encryption method to generate a main mapping identifier, splicing the main mapping identifier with a sequence identifier and an instance identifier by using a derivation algorithm, and generating a sequence layer derivation mapping identifier and an instance layer derivation mapping identifier by layer-by-layer derivation to obtain a hierarchical mapping identifier system; performing desensitization processing on patient sensitive information of the DICOM data; establishing a hierarchical and separated mapping relationship storage system; and storing the desensitized data by using a multi-level directory structure to complete reversible intelligent mapping storage of the desensitized data. The application can realize multi-granularity reversible tracing of the desensitized data, and improve fault tolerance and system security of the mapping relationship.

Embodiments of the present disclosure provide a network modeling method, a network problem analysis method, and a related device, and the network modeling method includes that: multi-dimensional instance information of various resources in a virtual network is collected, where the multi-dimensional instance information of the resources includes an instance identifier of each resource and at least one entity attribute of each resource, and the at least one entity attribute is an instance attribute other than the instance identifier in the multi-dimensional instance information; each resource is abstracted into a node based on the instance identifier of each resource; and, within the nodes abstracted from the resources, entities are abstracted based on the at least one entity attribute of each resource; and relationships between different nodes are determined based on relationships between associated entities.