7 results about "Service use" patented technology

This invention discloses a novel downlink scheduling scheme to maximize the number of XR users who meet their strict delay reliability requirements in 5G networks. Each XR user is assigned a predefined delay bound, within which Data Units (DUs)—encompassing packets, frames, or Service Data Units (SDUs)—must be transmitted. Failure to transmit within this bound results in a delay violation, which can degrade the user's experience. Additionally, each user has a specified reliability threshold, denoted as X %, indicating the minimum percentage of DUs that must be successfully delivered within the delay bound to meet the user's quality expectations. The proposed scheduling scheme ensures that the highest possible number of XR users achieve their required delay reliability. To accomplish this, the scheme integrates two critical components: (a) a delay tracking mechanism, and (b) a downlink scheduling strategy that optimizes scheduling based on real-time delay information.

The present disclosure provides a user interface for accessing an account. The present disclosure generally relates to creating an account for a service. A request to create an account for a first service is received. In response to receiving the request to create the account for the first service, a first login option and a second login option are displayed. If an input selecting the first login option is detected, a request to create an account for the first service using first contact information of a user is transmitted. If an input selecting the second login option is detected, a request to create an account for the first service using second contact information of the user is transmitted. The second contact information is automatically generated for the service and does not reveal the first contact information of the user.

By selecting the optimal service from among the various services used by AI, a data structure capable of enhancing the quality and speed of processing for activation triggers such as user prompts, and an information processing system using the data structure are provided. 【Solution means】A Ie - A data structure of data used by an agent, wherein the AI agent includes service information capable of identifying the service used by the AI agent and data information capable of identifying the data used by the AI, The aforementioned data information includes a service information ID indicating the service information, and the AI agent analyzes the given prompt and, based on the analysis result, Identify the aforementioned data information, and identify the service information based on the service information ID included in the identified data information. accesses the service based on the identified service information, obtains the data specified based on the data information from the service, and performs the prompt processing for the AI using the obtained data. When the aforementioned AI agent is started The processing is used.

The application provides a user perception mapping method and system based on a service experience model, constructs a perception anchor point set of service experience features and user perception expressions, wherein the service experience features include service interaction fluency and content presentation fitness, and the user perception expressions are direct feeling descriptions of users on service use. Real-time service interaction data is analyzed for features, and real-time service experience features consistent with the service experience feature types in the perception anchor point set are extracted. The real-time service experience features are matched with the perception anchor point set by calling a service experience model, and a matching result is generated by dynamically adjusting the matching weight through an association reinforcement module. The matching result is used to perform perception expression conversion, and real-time user perception information is formed in combination with a real-time service scene. The real-time user perception information is compared with a preset perception optimization benchmark, and perception optimization guidance including a perception improvement direction and specific service adjustment suggestions is generated to provide accurate guidance for service optimization.

Examples of the present disclosure describe systems and methods for monitoring services provided by a service provider to a consumer using a smart contract architecture. In one example, smart contract terms are provided to a DeFi application running on a blockchain, and a smart contract (e.g., a SLA smart contract) is constructed on the blockchain. Once the service provider begins providing service to the consumer, the system may monitor the service performance of the service. If the service performance dips below a certain agreed-upon threshold based on the smart contract, a trigger event may occur. Additionally, the analysis of the service performance data may indicate a service deficiency, wherein a remedial action is suggested to the service provider to be applied. The service deficiency and remedial action may be stored on the blockchain for future review.

The embodiment of the application discloses a data migration method based on a distributed lock and a related device, at least relates to cloud technology and the like, reduces the data migration times of service data between service nodes, improves the stability of server load, and reduces the delay of service migration. The method comprises the following steps: obtaining an access request sent by a service using device, and obtaining first lock information based on the access request, wherein the first lock information comprises a first oscillation protection time, and the first oscillation protection time is used to indicate the effective protection time of the distributed lock when the second service node accesses the service data while holding the first lock information; when the current running time is not less than the first oscillation protection time, receiving service data sent by a storage service node, and then sending an access response message to the service using device, wherein the access response message comprises the service data, and the access response message is used to instruct the service using device to perform an access operation on the service data.

Disclosed in the embodiments of the present disclosure is an intelligent service method used for an Internet-of-Things device. The method comprises: performing face identification on a user to determine identity information of the user; determining personality information of a plurality of personalities associated with the identity information; from amongst the personality information of the plurality of personalities, selecting the personality information of one personality as initial personality information; according to a first service mode correspondingly set for the initial personality information, starting to provide service for the user by means of speech interaction; in the service process, collecting a speech uttered by the user and / or an action performed by the user to generate corresponding user real-time performance data; analyzing the user real-time performance data by using a pre-trained large model to obtain an analysis result; according to the analysis result, determining whether the user has switched to another personality among the plurality of personalities; and if so, automatically switching from the first service mode to a second service mode correspondingly set for the personality information of said another personality, and according to the second service mode, continuing to provide service for the user.