289 results about "Service user" patented technology

The invention relates to the technical field of artificial intelligence, in particular to a government affair service-based machine learning intelligent question and answer analysis method and question and answer system. The method comprises the following steps: performing government affair service data acquisition based on a multi-channel government affair service data acquisition engine to obtain government affair service data; based on the government affair service data, carrying out government affair service question-answer associated combination matrix design, and generating a government affair service question-answer combination matrix; performing hierarchical topic relationship analysis of question and answer combination on the government affair service question and answer combination matrix to generate question and answer combination hierarchical topic relationship data; designing a government affair service intelligent question-answering model through question-answering combination level theme relation data; receiving instant government affair service user question data; and transmitting the instant government affair service user question data to the government affair service intelligent question and answer model to carry out government affair service multi-answer intelligent feedback processing so as to obtain government affair service multi-answer intelligent sorting data. According to the invention, efficient and accurate government affair service question and answer intelligent feedback is realized.

The invention discloses a cross-modal travel knowledge graph construction system based on a large language model, and relates to the technical field of knowledge graph construction and processing. Comprising a dynamic real-time acquisition and processing module, an intelligent knowledge verification and fusion module, a block chain credible record and multi-source verification module, a self-adaptive update strategy making module and a reinforcement learning optimization module. According to the method, by means of multi-source collection and cloud computing, the average knowledge updating time is shortened from 10 days to 2 days, and the problem of timeliness is solved; crowdsourcing, professional auditing and a model algorithm are combined, the auditing accuracy is improved, and the atlas is ensured to be complete and accurate; the credibility and authority of the knowledge graph are enhanced by applying a block chain technology; a model is established and a strategy is designed according to the multi-dimensional data, so that different user requirements are met; and a reinforcement learning algorithm and a scoring mechanism are introduced, so that the satisfaction degree is increased from 60% to 80%, the practicability is improved, and users are better served.

The invention provides a dynamic permission allocation method and system for a large-scale agent, and relates to the technical field of artificial intelligence security, and the method comprises the steps: collecting the multi-dimensional access feature information of a historical service user group of a target agent in real time; and mapping the multi-dimensional and high-dimensional access features to a preset vector space, identifying a core resource access feature domain of the intelligent agent by calculating an affiliation relationship between a feature vector and each Voronoi cell, and outputting a dominant feature vector representing service features of the intelligent agent. According to the method, the precise permission strategy is dynamically generated by fusing agent behavior characteristics and real-time context, credible mutual recognition and self-adaptive evolution of the cross-domain strategy are realized based on the geometric topology network, and finally, the safety, flexibility and system efficiency of cross-domain collaboration are improved under the principle of ensuring the minimum permission.

The invention relates to the technical field of server data access control, and discloses a server data access control method, device and equipment and a storage medium. Distributed server deployment information is queried by estimating bidding document item service requirements of each sub-service area; solving a server data access control strategy by taking the overall processing delay condition of the server executing the corresponding service user bidding document item, the server hardware load and the server resource scheduling limitation as a constraint condition set and taking the server access experience of the service user in the target server access control time period as an optimization target; and resource scheduling and service user matching of the distributed server in each access control period are realized by using a control strategy, so that bidding document project service is executed. According to the method, the rationality of server data access control planning is improved by considering regional differences, time peak differences and strong regional relevance of bidding document application services in different industry categories and hardware resource limitations of distributed servers.

An apparatus, method and computer program are provided for determining an identifier serving a user equipment for a registered access and mobility management function associated with an Internet Protocol Multimedia Subsystem (IMS) service, while the user equipment may also have other registrations for the same subscription, but is not associated with an Internet Protocol Multimedia Subsystem (IMS) service.

The invention discloses an RIS-assisted multi-user communication beam forming optimization method and system based on a graph neural network, and belongs to the field of reconfigurable intelligent metasurface-assisted communication. According to the method, the scene that RIS assists in multi-user communication is considered, the graph neural network is used for optimizing active beam forming of the base station and passive beam forming of the RIS, and then the system transmission rate of a downlink is maximized. The graph neural network model comprises an RIS node and user nodes of which the number is the same as that of service users, the RIS node is responsible for obtaining passive beam forming for the RIS by utilizing graph learning based on channel state estimation information input by all the user nodes, and each user node corresponds to one user; and obtaining active beam forming of a base station corresponding to the user by utilizing graph learning based on channel state estimation information input by the corresponding user. According to the method, the graph neural network is used, perfect channel estimation is not needed, and the joint optimization problem of active beam forming and passive beam forming can be effectively solved.

The invention relates to the technical field of data processing and prediction, in particular to a multi-dimensional data driven subscription service user loss risk and value combined prediction method, and aims to solve the problems of data sparsity and high-dimensional feature conflict and multi-task target interference in existing subscription service user loss risk and value combined prediction. According to the method, multi-dimensional data of subscription service users are collected and preprocessed, and a feature extraction model fusing federated learning and a dynamic knowledge graph is constructed to solve the problem of data sparsity and high-dimensional feature conflict; a joint prediction model combining causal reasoning and a reinforcement learning dynamic weight mechanism is constructed to solve the problem of multi-task target interference; and carrying out training and prediction by utilizing the constructed model, and outputting a prediction result of the user loss risk and value. According to the method, the accuracy and reliability of subscription service user loss risk and value joint prediction are improved, and powerful support is provided for operation decision making of subscription service providers.

The invention discloses a method and device for realizing integrity protection of sensitive data of a database, and belongs to the technical field of database security, and the method comprises the following steps: identifying sensitive data of a key column of a data table in a target database through an encryption system, and recording the sensitive data as key data; integrity protection is configured for the key data, and a digital signature is applied; the method comprises the following steps: calculating an abstract value of key data by using an SM3 hash algorithm, and calculating related sensitive information of the current key data and an MAC value of a system key at the same time; the database service system accesses the key data through the proxy connection of the encryption system, data modification or new data insertion is carried out, that is, a service user carries out data entry and storage; the encryption system compares whether the MAC value of the related sensitive information of the current key data is consistent with the MAC value of the related sensitive information of the last key data, and returns a comparison result to the system; and displaying a data state corresponding to a comparison result returned by the system on a system web page.

The present invention discloses a method and system of an internet proxy service, configuring the service in an ingress proxy—a virtual single access point receiving requests from a user's device. Users' requests to connect to a target web service on the internet may be directed through a plurality of different proxy service nodes being managed by the ingress proxy node with specific efficient functionalities. The ingress node routes the requests to the target web service through one of the remote proxies (outbound nodes), according to metadata in the user's request. The invention enables more easily / efficiently to select outbound nodes randomly or stick to a selected outbound node. These special functionalities are useful when scraping web data, e.g., it appears technically efficient to use TCP / IP ports. Furthermore, the invention enables one to add other important configurations and functionalities to proxy services using the SOCKS5 protocol.

The invention provides a cross-device service calling method and system and a storage medium, and relates to the technical field of cross-device control, in the method, a user can trigger a first electronic device to query surrounding online devices and cross-device services provided by the online devices through simple, convenient and rapid operation, and the user experience is improved. The first electronic device can call and start the cross-device service provided by one of the online devices based on user operation, for example, the first electronic device can call and start the cross-device service of the second electronic device, and a user can collect or generate an object on one side of the second electronic device through the called service. The generated object can be transmitted back to the second electronic equipment; a simple and rapid mode is provided, and after the first electronic device calls the service collection or generation object in the second electronic device, the service collection or generation object is transmitted back to the electronic device.

Methods, systems, storage media for authentication are described. On the methods includes receiving, at a smart contract on a distributed ledger, a signed authentication challenge. The method includes verifying the identity of the user who signed authentication challenge. The method includes raising an event that indicates that the user has been authenticated; wherein a server listens for events from the smart contract, and associates a session between the browser and the server with the user based on the event.

A service portal enables a user to request a service from a variety of service providers from the comfort of home or elsewhere. The user is able to place the order and pay for the service using a computing device. Depending on the service request, additional steps may be included such as scanning an item or a room, packaging an item, and / or other preparatory steps. Items are able to be identified via scanning. Order entry is able to be initiated via the scanned identification. The scanned items are able to be inventoried and managed. Augmented reality is able to be used with the scanned items. A standalone services app is able to provide entertainment and other accompanying services.

Methods for developing and managing long-term memory solutions for large language models (LLMs) within a context of providing agents of the LLM as a service are disclosed. Following task-related communications between LLM agents and users of the service, information pertaining to domain knowledge, user preferences, and success or not in completing the requested task is distilled into data samples by a reflections agent of the service. The data samples are then stored into a long-term memory database that is accessible by LLM agents in the future, such that the agents can recall information of previous interactions in order to more efficiently perform new tasks for users.

The invention discloses a dynamic resource allocation method for an NCO-NOMA-assisted UAV (Unmanned Aerial Vehicle) collaborative IRS-MEC (International Reference Station-Media Access Control) system. The dynamic resource allocation method is aimed at an MEC system comprising an IRS with # imgabs0 # reflecting elements, a plurality of users and a plurality of UAVs. The UAV serves as an air MEC server to provide a computing service for a user; a communication link does not exist between the user and the UAV, but task unloading is carried out with the help of the IRS; according to the method, users are grouped, each user group comprises two users and occupies an independent sub-channel, and task unloading is carried out through a non-complete overlapping NOMA technology; and equipment of all users is provided with a single antenna so as to meet the lightweight deployment requirement. The objective of the invention is to realize computing resource allocation, UAV selection strategy and flight path through joint optimization of user transmitting power, transmission time and IRS reflection phase shift on the premise of satisfying task delay constraints of each user and energy consumption constraints of each user and UAV, and to minimize task completion delay of all users in a UAV cooperative IRS-MEC system based on non-completely overlapped NOMA.

A portable charger has a pre-assigned battery ID. The portable charger includes a wireless power receiving device corresponding to a wireless power transfer device, and a communication device being communicable with a mobile communication terminal. The mobile communication terminal stores the battery ID and a user ID in association with each other. The service server stores the battery ID, the user ID, and a validity of a service user's right to receive a chatting service, in association with each other. The service server is configured to acquire the battery ID and the user ID from the mobile communication terminal and execute an authentication process of determining the validity of the service user's right to receive the charging service for the portable charger that is, identified by the acquired battery ID based on the acquired user ID.

User authentication is provided. A most recent user secret block of a set of unprocessed user secret blocks corresponding to a user is retrieved from a blockchain. The user is challenged using a question and answer pair contained in the most recent user secret block of the set of unprocessed user secret blocks corresponding to the user. It is determined whether the user successfully passed the challenge using the question and answer pair contained in the most recent user secret block of the set of unprocessed user secret blocks corresponding to the user. The user is authenticated to access a decentralized service in response to determining that the user did successfully pass the challenge using the question and answer pair contained in the most recent user secret block of the set of unprocessed user secret blocks corresponding to the user. The user is allowed to access the decentralized service.

The embodiment of the invention provides a personalized voice interaction method and related equipment, and belongs to the technical field of intelligent voice interaction. The method comprises the following steps: receiving an object question audio stream by adopting a streaming processing technology in response to a voice interaction service request; performing segmentation operation and preprocessing operation on the object question audio stream to obtain object question audio clips; performing object feature analysis on the object question audio clip to obtain a service object tag; carrying out object group classification on the service object labels, and selecting a corresponding voice recognition model according to a classification result of an object group; sequentially performing voice recognition on the object question audio clips by adopting a voice recognition model to obtain an object question text; and performing text analysis on the object question text to obtain an answer response. According to the scheme, the questioning audio can be accurately recognized, and the user experience of intelligent voice interaction service is improved.

A service portal enables a user to request a service from a variety of service providers from the comfort of home or elsewhere. The user is able to place the order and pay for the service using a computing device. Depending on the service request, additional steps may be included such as scanning an item or a room, packaging an item, and / or other preparatory steps. Items are able to be identified via scanning. Order entry is able to be initiated via the scanned identification. The scanned items are able to be inventoried and managed. Augmented reality is able to be used with the scanned items. A standalone services app is able to provide entertainment and other accompanying services.

Systems and methods for adaptive intelligent user validation are provided. Example techniques may include receiving an indication of initial user input associated with a user account for an online service during an authorized user session; providing the initial user input to a machine learning model as training data; generating a user signature associated with the user account based on providing the initial user input to a machine learning model as training data; receiving subsequent input associated with a subsequent attempt to access the online service by the user account; comparing the subsequent input to the user signature associated with the user account; and allowing a subsequent authorized user session of the online service for the user account based on determining that the subsequent input matches the user signature associated with the user account.

The application discloses a space-air-ground integrated internet relay selection and edge cache updating method, and belongs to the field of satellite communication. An access relay node with cache capability is established to build a space-air-ground integrated internet access selection and cache configuration model. Based on user historical request data, a graph neural network is used to learn user preference features and content features projected into the same feature space. The user preference features are used for clustering, and the users are clustered into user groups. According to a load balancing heuristic algorithm, the relay node for the user group is selected. According to the preference features and content features of the users served by the relay node, cache configuration updating is carried out. The application mainly aims at the space-air-ground integrated internet scene with relay nodes having cache capability, optimizes the access node selection result of the user, improves the cache hit rate, and thus improves the resource utilization efficiency and user satisfaction.

A computing system can detect the launch of a rider application on computing devices of users of a transport service. The computing system can receive location data indicating the current location of each user, and determine a usage pattern for each user based on historical data corresponding to historical utilization of the transport service by the user. Based on the current location and the usage pattern of the user, the computing system can determine one or more suggested destination locations for the user, and transmit, over the one or more networks, display data to cause the rider application to display a destination accelerator for each of the one or more suggested destination locations. The destination accelerator can be selectable by the user to automatically input a destination location into a transport request for the transport service.

The application discloses a method for calling a service, an electronic device and a readable storage medium, and belongs to the technical field of terminals. The method comprises the following steps: in response to the starting of a service user, obtaining device manufacturer information of the electronic device, wherein the device manufacturer information is used for indicating whether the electronic device belongs to a target manufacturer, and the target manufacturer is a manufacturer providing a service required by the service user; determining a target service end from at least one candidate service end according to a service priority query order matched with the device manufacturer information, wherein the at least one candidate service end all provide the service required by the service user, and the at least one candidate service end has different existence forms in the electronic device; and in response to a service request of the service user, processing the service request through the target service end. The application enables each service user to call the same service end under the condition of meeting the service sharing condition, thereby realizing service or data sharing.

The application provides a bandwidth adjustment method, device, equipment, storage medium and program product. A bandwidth adjustment method is provided for a cloud service user including multiple services, which comprises: when the bandwidth occupancy rate of a user instance reaches a first threshold, determining a to-be-adjusted service from multiple services corresponding to the user instance based on a flow log of the user instance; determining a throttling bandwidth ratio of the to-be-adjusted service; and generating a throttling configuration instruction of the user instance according to the throttling bandwidth ratio to limit the bandwidth of the to-be-adjusted service. The bandwidth of a large-flow service is limited when the bandwidth occupancy rate is high, thereby balancing the bandwidth of multiple services of a user and avoiding a high bandwidth occupancy rate of a large-flow service, which leads to a high delay of other services.

To access a radio access network (RAN), a user equipment (UE) receives (304), in a cell of the RAN, an indication that the cell supports a priority service. The UE initiates (308), in a cell of the RAN, a priority service based on a configuration other than a Service User subscription. The UE communicates (318), via the RAN, data packets associated with the priority service.

The application discloses a vCPE allocation method, device and system based on space-time characteristics, the method comprising: acquiring space characteristic data of a new user; finding served users with the same space characteristic data as the new user, and constructing a reference user set; finding time characteristic data of each user in the reference user set, the time characteristic data being used to represent the distribution characteristics of traffic over time; calculating reference time characteristic data according to the time characteristic data of each user in the reference user set; acquiring time characteristic data of each vCPE in a vCPE cluster, and calculating a first difference degree between the time characteristic data of each vCPE in the vCPE cluster and the reference time characteristic data; selecting a vCPE corresponding to the maximum value of the first difference degree from the vCPE cluster to allocate to the new user, and issuing a forwarding rule to the new user according to the allocation result. According to the embodiment of the application, the optimal vCPE can be allocated to the user based on the space-time characteristics of the user and the vCPE.

The invention discloses a user-centric network large-scale MIMO signal detection method and system. According to the users, each base station in the central network large-scale MIMO system has a group of main service users, each group of main service users forms a user group in the system, and each user group performs signal detection. Interference sparsity and connection base station sparsity are considered at the same time during detection of each user group, only part of users are considered as interference users during detection of each group of users, and the interference users are only associated with one main service base station and one group of auxiliary service base stations. Two-stage detection with users as the center is carried out on each user group, in the first stage, matched filtering is locally carried out on each connected base station, and an auxiliary base station sends signals and channel state information after matched filtering to a main service base station; and in the second stage, the main service base station performs interference cancellation on the matched and filtered signal to obtain a detection result. According to the invention, the design and implementation complexity of the detector can be effectively reduced on the basis of ensuring the detection performance.

The invention belongs to the technical field of mathematical data management, and aims to provide a cloud control-based mathematical data management system optimization method, which is characterized by comprising a data acquisition end, a quantitative analysis end, an optimization upgrading end, an authority encryption end and a user server, the method comprises the steps of collecting user retrieval failure data, data abandoning data, error operation data and system operation data, uploading the data to a metadatabase, collecting system pain points by quantizing the data, performing classification and attribution analysis on the system pain points, outputting an optimization target list and then upgrading system core functions, and performing detail optimization on a user operation layer. The method comprises the following steps of: optimizing data, refining authority grading after optimization, encrypting the collected data, uploading the encrypted data to a cloud end, performing personalized recommendation on a user side based on data browsing, downloading and collecting of a user, and automatically adding a high-frequency error-prone special topic in a classification catalog according to a data use thermodynamic diagram to actively serve the user.

A verifiable credential verifying apparatus and method are disclosed. The verifiable credential verifying method of the verifiable credential verifying apparatus, according to an embodiment of the present disclosure, comprises the steps of receiving, by the verifiable credential verifying apparatus, a verifiable credential verification request for receiving approval of using a service provided by a service provider from a first terminal of a service user, verifying verifiable credential of the first terminal by using first verifiable credential of the first terminal, which has been received according to the verifiable credential verification request, and second verifiable credential pre-registered by the first terminal in the verifiable credential verifying apparatus; and transmitting a result of verifying the verifiable credential of the first terminal to the first terminal and a second terminal of the service provider.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Embodiments of the present invention relate to a method and system for managing an ad hoc group call in a mission-critical (MC) communication system. The method for managing an ad hoc group call in an MC communication system comprises a primary MC system (10) and a secondary MC system (30). A first MC service server (25) in the primary MC system (10) receives an ad hoc group call initiation request from a first MC service client (15) including MC service identifiers of target users. The first MC service server (25) invites a second MC service client (20) by forwarding the request using a service ID assigned by the secondary MC system (30). Upon detecting that a third user has migrated to the secondary MC system (30), the first MC service server (25) transmits a redirection notification to the first MC service client (15) including both the old and new MC service IDs and the migration reason. The first MC service server (25) sends an ad hoc group call response indicating success or failure with details, and the ad hoc group call is established across the included MC systems (10, 30, 50).

The application relates to the technical field of customer service man-machine interaction processing, and discloses a customer service man-machine intelligent interaction system and method based on communication object information. The system comprises a user information acquisition module, a customer service man-machine interaction information analysis module and a customer service man-machine interaction execution module. The appearance national type of a customer service user is scientifically analyzed through the matching success rate of the user appearance feature image, the appearance national type of a communication object is scientifically analyzed based on the appearance feature of the communication object, the customer service man-machine interaction AI model required for customer service man-machine interaction is accurately screened according to the appearance national type information of the customer service user, the language type used and the characteristic text data of the customer service man-machine interaction AI model scientifically set by combining an intelligent recognition algorithm, the customer service man-machine interaction AI model is scientifically customized based on the appearance national type and the language type of the communication object, and the service experience and quality of the customer service man-machine interaction are improved.