28 results about "Capability management" patented technology

The invention relates to a parallel computing framework based on software definition and an implementation method thereof, the parallel computing framework comprises an operating system domain, a system service domain and a unified interface domain, and the operating system domain comprises equipment drive, task scheduling, signal management, memory management and various protocol stacks; the system service domain comprises a data plane, a control plane and a capability plane, and the data plane is responsible for loading, forwarding, mapping and exporting all data; the control plane is responsible for calculation task preprocessing, load separation, scheduling distribution, dynamic reconstruction, calculation scheduling and task estimation functions and supports expansion customization; the capability plane is mainly responsible for computing node capability registration, capability reconstruction, operator management, capability management and failure detection functions in the system; the unified interface domain has the functions of distributed calculation, model training, model reasoning and resource management. The problem of parallel computing efficiency under a resource-limited embedded heterogeneous system platform is solved, so that computing resources have dynamic self-organizing reconstruction capability according to computing requirements.

The present invention discloses a model-driven intelligent operation and maintenance middle platform portal method and device. The method of the present invention includes: each business component of the intelligent operation and maintenance middle platform constructs a touchpoint model file for each scenario according to the touchpoint model specification; the touchpoint capability management module stores the touchpoint model files for each scenario according to the specification of one scenario and one directory; after the touchpoint model analyzer scans and analyzes the touchable model files that can be matched according to the scenario value of the set scenario, the touchpoint capability management module collects touchpoint model data from the matched touchpoint model files and aggregates the collected touchpoint model data by scenario, so as to provide a middle platform portal by scenario by binding the middle platform user to the scenario.

The invention discloses a nuclear power plant maintenance personnel capability management method and system and a storage medium, and the method comprises the steps: receiving user login information inputted by a to-be-evaluated maintenance personnel, and obtaining the role of the maintenance personnel and the capability level of the maintenance personnel according to the user login information of the maintenance personnel; receiving a to-be-evaluated capability dimension and a to-be-evaluated capability level selected by the maintenance personnel; according to the role of the maintenance personnel and the selected capability dimension and the capability level, obtaining corresponding evaluation test questions, and displaying the evaluation test questions for the maintenance personnel to perform capability evaluation; obtaining answer information of the maintenance personnel; according to the answer information, evaluation result information is generated, and the evaluation result information comprises evaluation score information of the corresponding ability level of the corresponding ability dimension. By implementing the technical scheme of the invention, the objectivity of the assessment and evaluation process and result of the maintenance personnel capability is improved, and the recognition of the maintenance personnel capability is more accurate.

Systems, methods, and apparatuses for implementing capability informed prefetches are described. In certain examples, a hardware processor comprises an execution circuit to execute an instruction that generates a memory access request for an element in memory via a first capability; a capability management circuit to check the first capability for the memory access request, the first capability comprising an address field of the element in the memory, a validity field, and a bounds field that is to indicate a lower bound and an upper bound of a first object to which the first capability authorizes access; a cache; and a prefetch circuit to: prefetch an additional element from the memory to the cache, determine if the additional element is a second capability comprising an address field of a second element in the memory, a validity field, and a bounds field that is to indicate a lower bound and an upper bound of a second object to which the second capability authorizes access, and prefetch the second element from the memory to the cache based on the additional element being the second capability.

Systems, methods, and apparatuses for implementing capability-based indirect prefetching are described. In certain examples, a hardware processor comprises an execution circuit to execute an instruction that generates a memory access request for an element in memory via a first capability; a capability management circuit to check the first capability for the memory access request, the first capability comprising an address field of the element in the memory, a validity field, and a bounds field that is to indicate a lower bound and an upper bound of a first object to which the first capability authorizes access; a cache; and a prefetch circuit to: prefetch an additional element of the first object from the memory based on the first capability, determine if the additional element is a second capability comprising an address field of a second element in the memory, a validity field, and a bounds field that is to indicate a lower bound and an upper bound of a second object to which the second capability authorizes access, and prefetch the second element from the memory to the cache based on the additional element being the second capability.

Disclosed are a capability management method and apparatus (100), and a computer device, wherein same relate to permission management of a kernel object (O) in an operating system, for example, the permission management of a kernel object (O) in a micro-kernel architecture. Specifically, in the method, two types of information are stored in a capability node (CNode) of a capability owner: information (M2) for indicating the capability to perform granting and information (M1) for indicating the capability to be granted; a correlation between the capability of a grantor and the capability of a grantee is established by means of recording the two types of information; the copying of a capability is prevented during a capability granting process; and the deletion of a capability is prevented during the process of the grantor giving up the capability, thereby ensuring a deterministic latency while realizing capability recovery and granting. The method can be applied to a smart mobile phone system, an unmanned driving system, etc.

This invention relates to the fields of artificial intelligence, multi-agent collaborative scheduling, and federated security management. Specifically, it is a federated capability management and unified scheduling system for multi-agent collaboration, comprising: a central scheduler receiving collaborative task requests across multiple local agent nodes and obtaining capability declaration information containing only the capability tags of the local agent nodes; constructing prompt word templates and generating an initial fine-grained task decomposition scheme; extracting cross-domain call links, statistically analyzing the frequency of cross-domain calls and data interaction dimensions, predicting the communication interruption probability of local agent nodes and comparing it with a security risk threshold; if the probability is lower than the threshold, a fine-grained scheme is adopted; if the probability is higher than or equal to the threshold, a minimum-privilege interaction coarse-grained scheduling scheme is generated and distributed; and local agent nodes executing sub-tasks and reporting their status to maintain core business continuity without exposing underlying private data.

This application discloses a performance testing method and related device for an artificial intelligence model, relating to the field of artificial intelligence technology. Performance testing information is determined through a displayed task creation interface; a first link address, a second link address, a target sample data tag, and a target communication address are obtained based on the performance testing information; a test task is generated based on the first link address, the second link address, and the target sample data tag; and a server can obtain target evaluation performance indicators based on the test task. This allows the display of a capability management interface, which is used to display target evaluation performance indicators and evaluation performance indicators corresponding to the target version number. This achieves the purpose of reducing the difficulty in determining whether the performance of the artificial intelligence model has been significantly improved.

The invention provides a method and a device for managing and controlling the reasoning ability of a machine model, which are used for managing and controlling the reasoning ability of the machine model and relate to the technical field of wireless communication. In the method, a second communication device sends first information to a first communication device, and the first information comprises AI / ML capability corresponding to AI / ML reasoning. The second communication device receives an inference result of the AI / ML inference from the first communication device. Based on the above scheme, the second communication device can indicate the AI / ML capability corresponding to AI / ML reasoning to the first communication device through the first information, thereby realizing management and control of the AI / ML capability, and enabling the first communication device to execute AI / ML reasoning of the AI / ML capability according to the first information.

Methods and apparatus, including computer program products, are provided for UE capability signaling. An apparatus is provided that is caused to at least: receive, from a user equipment capability management function, a message including a first restart counter value indicating a restart of the user equipment capability management function; inhibit, in response to receiving the first restart counter value, one or more old user equipment capability identifiers associated with a second restart counter value, the second restart counter value being associated to a pre-restart state of the user equipment capability management function; and send the first restart counter value indicating the restart of the user equipment capability management function. Related systems, methods, and articles of manufacture are also described.

Methods, apparatuses, and computer program products are provided for UE capability signaling. An apparatus is provided that is caused to at least: receive, from a user equipment capability management function, a message including a first restart counter value indicating a restart of the user equipment capability management function; inhibit, in response to receiving the first restart counter value, one or more old user equipment capability identifiers associated with a second restart counter value, the second restart counter value being associated to a pre-restart state of the user equipment capability management function; and send the first restart counter value indicating the restart of the user equipment capability management function. Related systems, methods, and articles of manufacture are also described.

The embodiment of the invention provides an edge cluster software management system, method and device and a storage medium. The system comprises the steps that a product management module configures capacity needed by a service product and obtains software capacity; the capability management module creates capability and defines a capability pre-check resource instance, a capability configuration resource instance and a capability scoring resource instance; issuing a capability pre-check resource instance to control the edge cluster to perform capability pre-check; issuing a capability configuration resource instance to control the edge cluster to perform capability configuration; issuing the capability scoring resource instance to an edge cluster dynamic monitoring capability state; the product scoring module determines a target product score; the capability management agent module monitors the created resource instance, creates a pre-check task and obtains a pre-check score; the ability scoring module executes the pre-check task to obtain a pre-check result; the capability state executes a configuration task to perform capability configuration; and the capability scoring module executes a scoring task to obtain a capability scoring result. According to the invention, the availability and observability of the product capability are improved.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an indication of functionalities associated with artificial intelligence or machine learning (AI / ML) models supported by the UE. The UE may receive one or more AI / ML models associated with the functionalities. Numerous other aspects are described.

The present disclosure provides a smart asset management method, device and system, and a storage medium. The smart asset management method comprises: extracting smart asset information from a registration request; determining whether a smart asset corresponding to the smart asset information passes a feasibility test; in the case where the smart asset passes the feasibility test, managing the smart asset according to a preset AI capability management strategy; and storing the smart asset into a smart asset warehouse.

The invention discloses a distributed capability sharing method, a distributed capability sharing system and electronic equipment. The distributed capability sharing method comprises the following steps: establishing capability management service on current equipment; registering target capability calling permission information on remote equipment to the capability management service; receiving the calling of a target capability in the capability management service by the capability subscription application; and searching target capability calling permission information corresponding to the remote equipment matched with the target capability, executing the target capability on the remote equipment, and returning the target capability to the current equipment. The target capability calling permission information on the remote equipment is registered to the capability management service of the current equipment, so that when a third-party application such as a capability subscription application needs to call the target capability on the remote equipment, the target capability calling permission information on the remote equipment can be obtained through the capability management service; and after the target capability is executed on the remote equipment, the data is returned to the current equipment, so that sharing of the service processing capability between the current equipment and the remote equipment is realized.

The invention provides a method and device for optimizing user equipment capability signaling. Methods and apparatus, including computer program products, are provided for UE capability signaling. In some example embodiments, an apparatus may be provided comprising at least: receiving a message from a user equipment capability management function, the message comprising a first restart counter value indicating a restart of the user equipment capability management function; in response to receiving the first restart counter value, inhibiting one or more old user equipment capability identifiers associated with a second restart counter value, the second restart counter value associated with a pre-restart state of the user equipment capability management function; and transmitting a first restart counter value indicating a restart of the user equipment capability management function. Related systems, methods, and articles of manufacture are also described.

The present application relates to the technical field of wireless communications, and provides a machine model reasoning capability management and control method and device, for use in managing and controlling the reasoning capability of machine models. In the method, a second communication device sends first information to a first communication device, the first information comprising an AI / ML capability corresponding to AI / ML reasoning; and the second communication device receives a reasoning result of the AI / ML reasoning from the first communication device. According to the solution, on the basis of the first information, the second communication device can indicate to the first communication device the AI / ML capability corresponding to the AI / ML reasoning, thereby realizing management and control of the AI / ML capability, and enabling the first communication device to execute the AI / ML reasoning of the AI / ML capability on the basis of the first information.

The invention discloses a cross-application atomic power discovery and calling system of an Android Automove system based on mvol, relates to the technical field of Internet of Vehicles, and comprises a packet management service, a power management service and a data synchronization service. The vehicle-mounted application program statically declarates atomic power data containing logical judgment conditions and execution parameters in a configuration file, and the packet management service monitors application change and triggers a discovery process; the capability management service integrates an MVEL engine, the logic judgment condition is combined with the vehicle context environment to execute dynamic Boolean operation, and whether the atomic capability takes effect or not is judged; and the data synchronization service stores the effective capability and establishes an index, and the system responds to a capability identifier instruction, retrieves an execution parameter and constructs an AndroidIntent message to trigger a corresponding function. According to the invention, real-time binding of the application capability and the vehicle state is realized through MVEL dynamic analysis, and the maintenance problem caused by hard coding is solved.

Methods and apparatus for UE capability signaling are provided, including computer program products. In some example embodiments, an apparatus may be provided, the apparatus including being caused to at least: receive a message from a user equipment capability management function, the message including a first restart counter value indicating a restart of the user equipment capability management function; in response to receiving the first restart counter value, inhibit one or more old user equipment capability identifiers associated with a second restart counter value, the second restart counter value being associated with a pre-restart state of the user equipment capability management function; and send the first restart counter value indicating a restart of the user equipment capability management function. Related systems, methods, and articles of manufacture are also described.

The present application relates to the technical field of wireless communications, and provides a machine model reasoning capability management and control method and device, for use in managing and controlling the reasoning capability of machine models. In the method, a second communication device sends first information to a first communication device, the first information comprising an AI / ML capability corresponding to AI / ML reasoning; and the second communication device receives a reasoning result of the AI / ML reasoning from the first communication device. According to the solution, on the basis of the first information, the second communication device can indicate to the first communication device the AI / ML capability corresponding to the AI / ML reasoning, thereby realizing management and control of the AI / ML capability, and enabling the first communication device to execute the AI / ML reasoning of the AI / ML capability on the basis of the first information.

A wireless communication device is described. The wireless communication device includes a processor configured to determine a switch between an independent mode and a concurrency mode. The wireless communication device also includes a transmitter configured to send a communication capability signal to a base station in response to the switch. The communication capability signal indicates a resource communication capability adjustment for a first service.

The embodiment of the invention provides a media playing method, an Internet of Things system, equipment, a medium and a product, and the method comprises the steps: enabling a user terminal to sense the access of collection equipment of media content through building a capability management system, and carrying out the capability request of the collection equipment, so as to obtain the capability component information corresponding to the collection equipment. And matching the capability components based on the capability component information, determining which capability components the player of the user terminal needs to have in order to play the media content of the corresponding acquisition equipment, and loading the related capability components. Through the scheme, the capability components required by different acquisition devices can be matched, and then the corresponding capability components are loaded, so that the unnecessary presetting of the capability components is avoided, the problem of space redundancy is solved, and the starting and loading speed of the player can be optimized.

The invention relates to the technical field of intelligent agent systems, in particular to a construction method and system of a universal intelligent agent framework, and the method comprises an agent operation engine and a meta-capability management platform. And plug and play of the capability, flexible arrangement of tasks and self-adaptive response of the environment are realized. The adaptive capacity of the intelligent agent in multi-scene migration, cross-system collaboration and dynamic environments can be remarkably improved, and the development and maintenance cost is reduced.

The invention discloses an innovation ability management method and system, and relates to the field of human capital management and application. The method comprises the following steps that S1, a CoE department obtains data and information from an intelligent or application knowledge database and pushes the data and the information to employees or prompts the employees to actively obtain the data and the information, and therefore multidisciplinary skills, knowledge and experience are established; s2, the innovation ability management system gradually converts the multidisciplinary skills, knowledge and experience into interdisciplinary skills, knowledge and experience through the CoE department, thereby establishing the innovation ability of the employees and realizing innovation results; s3, the innovation ability management system transmits the innovation result to the wisdom or application knowledge base according to the file type of the innovation result for the CoE department to use; and in cycles, spiral growth of application knowledge and continuous improvement of quality are formed. According to the technical scheme, the problems of creation and retention of knowledge and innovation ability management of employees in the prior art are solved.

The application provides a multi-agent system-oriented capability management and calling method. The method constructs a hierarchical capability ontology definition multi-dimensional attribute space, converts the agent capability declaration into a structured attribute vector, maps the attribute vector to a fixed-length fingerprint vector through grouping normalization, weighted scaling and random projection, and normalizes it to a unit hypersphere. Based on the fingerprint vector, multiple independent hash indexes are constructed. When receiving a calling request, the request is converted into a query fingerprint, and after the candidate set is obtained through the multi-group hash index coarse screening, the matching result is generated by performing fine arrangement reasoning. According to the calling feedback, the dimension weight vector is updated to realize the adaptive improvement of the matching accuracy. The method reduces the capability matching delay from linear to sub-linear, eliminates the semantic ambiguity of the text description, and supports the constant-time hot plug of the agent.

An information handling system includes a hardware processor to execute computer-readable program code instructions of an information technology decision maker (ITDM) capability management system to receive assigned artificial intelligence (AI) productivity scores correlated to how executed capability intent actions at a subset of a plurality of node information handling systems in an enterprise have improved user productivity at those plurality of node information handling systems based on detected changes resource telemetry data. The ITDM capability management system to generate a ranked listing of the plurality of responsive capability intent actions based on the assigned AI productivity scores and determine an action payload comprising one or more highest AI productivity score responsive capability intent actions and propagate that action payload to each of the plurality of node information handling systems within the enterprise for implementation.

The invention relates to an opening capability management method and device of an API management system, equipment and a storage medium. The method comprises the following steps: receiving an API service request sent by a user side, wherein the API service request comprises a performance requirement of a target service; predicting a candidate API and / or a candidate API calling combination corresponding to the target service according to the performance requirement of the target service; and receiving selection indication information sent by the user side, determining a target API from the candidate APIs, and / or determining a target API call combination from the candidate API call combinations. Receiving an authorization application request which is sent by the user side and aims at the target API and / or the target API calling combination; and auditing the authorization application request, and authorizing the target API and / or the target API call combination under the condition that the authorization application request passes. Therefore, a flexible API capability subscription and authorization mechanism can be provided for users, and individual requirements of different users are met.

Embodiments of the invention relate to capability management of a client device (100) in a communication system. The client device (100) can limit and / or unlimit its capabilities by sending a request message (510) or a capability message (540) to a first network access node (300). The request message (510) is used to request the first network access node (300) to send a capability query message, the capability message (540) indicating the capability of the client device (100). The client device (100) is also able to select a target network access node for performing conditional switching depending on whether the network access node supports restricting and / or unrestricting capabilities. Furthermore, embodiments of the invention also relate to a first network access node (300), a corresponding method and a computer program.