2754 results about "Application server" patented technology

Provided in the embodiments of the present disclosure are a question answering processing method and system, a device and a storage medium. The method comprises: on the basis of a user question, a first prompt template containing first tool set information, and an LLM, a first agent acquires, successively generated by the LLM, a plurality of pieces of solving task information that are required to be executed by invoking a second agent and summary task information that is required to be executed by the first agent, and successively transmits the plurality of pieces of solving task information to the second agent; on the basis of received current solving task information, a second prompt template containing second tool set information, and the LLM, the second agent acquires task execution information that is generated by the LLM and corresponds to the current solving task information, and accordingly acquires from an application server a task execution result of the current solving task information; and the first agent summarizes the task execution results of the plurality of pieces of solving task information, so as to determine reply information corresponding to the user question. By means of the cooperation of different agents, user questions are gradually and accurately solved.

Some embodiments of a method may include: obtaining Avatar JSON Interchange File (AJIF) data; decoding the AJIF data to generate avatar data; obtaining animation parameters from the avatar data; obtaining user movement data corresponding to a movement of a user; generating updated avatar data based on the user movement data; and sending the updated avatar data to a client device. For some embodiments, a method may include: generating Avatar JSON Interchange File (AJIF) data corresponding to an avatar; sending, to an application server, the AJIF data; obtaining user movement data corresponding to a movement of a user; sending, to the application server, the user movement data corresponding to the movement of the user; receiving, from the application server, scene update data, wherein the scene update data includes updated avatar data corresponding to the movement of the user; and rendering a scene update based on the scene update data.

An application server or other processing entity may receive, via a cloud-based platform, user input that may include at least one request for data. The application server may classify the user input into a first of a plurality of deterministic-stochastic spectrum classifications based on the user input and a probability of mapping the at least one request for data to at least one data location. The application server may retrieve the data from the at least one data location and based on the first deterministic-stochastic spectrum classification. The application server may transmit, based on the first deterministic-stochastic spectrum classification and the user input, an input to a large language model. The application server may present a response to the user input, where the response is based on a combination of an output of the large language model and the data retrieved from the at least one data location.

A computing services environment may include a database system storing database records for client organizations accessing computing services including a conversational chat interface, an application server providing access to the conversational chat interface, a metadata repository storing metadata entries describing and defining interaction data for interacting with agents, and an orchestration service configured to execute an orchestration process based on a natural language request message received via the conversational chat interface. An input prompt including the natural language request message and agent descriptions selected from the plurality of metadata entries may be determined and transmitted to a generative language model. A prompt completion including a selection of the designated agent based on the plurality of agent description may be received from the generative language model. Novel text responsive to the natural language request message may be generated by transmitting a request to the designated agent.

A computing services environment may include a database system storing a plurality of database records for a plurality of client organizations accessing computing services including a conversational chat assistant. The computing services environment may also include an application server may receive user input for the conversational chat assistant, a generative language model interface, an orchestration and planning service configured to identify one or more actions based on the user input, to execute the one or more actions to determine a natural language response message, and to determine a recommended action for selection via a conversational chat interface. The computing services environment may also include a communication interface configured to transmit the natural language response message and a user interface generation instruction executable by the client machine to provide a selection affordance for selecting the recommended action.

The invention provides a zero-trust access control method based on cloud side-end collaboration, which comprises the following steps of: deploying zero-trust agents on application servers of cloud, side and end layers, and collecting multi-source trust measurement index data of each layer in real time; the method comprises the following steps: encrypting data, packaging the encrypted data into a standardized data packet, transmitting the standardized data packet to a security evaluation server through a security communication protocol, after the security evaluation server receives the encrypted data packet, carrying out refined multi-dimensional security evaluation in combination with an equipment identifier and network attributes, comprehensively considering various indexes through a weighting algorithm, and carrying out other operations. According to the invention, data transmission and control among the application server, the security evaluation server, the token generation server and the gateway are realized, the security of the application server deployed on the cloud when accessing the intranet data is improved, and the problem of failure of a traditional boundary protection mode caused by network boundary fuzziness in a traditional network is solved; and a stable, safe and reliable network environment is provided for the application server to access the intranet data.

Machine learning systems and techniques are described herein for monitoring application servers within the computing infrastructure of a wireless network. A machine learning system may train and execute models based on performance metrics, error data, and failures from application servers configured to perform various functions relating to communication session authorization, monitoring, and charging for voice, data, and messaging communication services over the wireless network. Machine learning models may be configured to predict service degradations, detect performance anomalies, and determine root causes, and various models may output particular application servers, components, and / or predicted times of certain events. Based on the outputs of the machine learning models, the machine learning system may perform various actions for the wireless network infrastructure, including data outputting and / or executing processes on the application servers to analyze, restart, and / or repair particular components.

The present disclosure relates to method and apparatus for selecting an edge application server, and element network device, user equipment and storage medium. The method includes: a user equipment receiving first indication information, which is sent by an SMF, wherein the first indication information is used for indicating the priority of domain name system (DNS) information; and the user equipment making a DNS policy decision according to the first indication information, and sending a DNS query request to an EASDF, wherein the DNS query request is used by the EASDF to execute the discovery or selection of an edge application server (EAS).

A session management function (SMF) receives, from a wireless device, a packet data unit (PDU) session establishment request message requesting establishment of a PDU session associated with an application and offloaded processing of data from the wireless device to an application server associated with the application. The SMF sends, to the wireless device, a response message indicating a rejection or an acceptance of the offloaded processing of data.

An application server may receive, from a client and at an interface for accessing a large language model, a prompt for a response from the large language model. The application server may receive, via a model interface, a streaming output of the large language model, where the streaming output includes a first portion of the response and a threshold number of tokens. The application server may then provide the first portion of the response to a scoring model that determines a first incremental score indicating a first probability that the first portion of the response includes content from one or more content categories. The application server may transmit, to the client and based on the first probability, the first portion of the response, an indication of the first incremental score, or both.

Methods and apparatuses are described herein for wireless transmit / receive unit (WTRU)-based edge compute autoscaling. For example, a WTRU may receive a message from a network device. The message may include a list of one or more edge application servers (EAS) associated with an un-instantiated application. The WTRU may select an EAS from the list of one or more EAS associated with the un-instantiated application. The WTRU may transmit a request to an edge data network (EDN), the request indicating a request to instantiate the un-instantiated application at the selected EAS. The WTRU may receive a response from the EDN, the response indicating that the un-instantiated application has been instantiated at the selected edge application server and indicating information for accessing the now instantiated application at the EAS.

Embodiments include methods for a user equipment (UE) configured to report quality of experience (QoE) measurements in a radio access network (RAN). Such methods include monitoring performance of one or more services, of a UE application layer, that communicate with corresponding one or more application servers via the RAN. Such methods include, based on the monitoring, detecting one or more incidents that negatively affect user QoE and classifying each of the incidents as one of a plurality of categories of severity. Such methods include sending to a RAN node a message that includes the following: a QoE incident report that includes at least one count of incidents during a measurement period, with each count corresponding to a different category of severity; and results of radio measurements performed by a UE radio layer during the measurement period. Other embodiments include complementary methods for a network node or function (NNF).

A route selection method for an Edge Application Server (EAS) is provided, the method is performed by a terminal, and includes: receiving a Domain Name System (DNS) information indication sent by a first network function; executing a DNS policy decision based on the DNS information indication; and sending a DNS query request to a second network function based on the decision, where the DNS query request is used to request the second network function to select an EAS.

A method performed by a User Equipment having a first functional component implementing an enabler function. The method comprises performing an Edge Application Server (EAS) discovery to discover information regarding one or more first network functions implementing EASs as part of an initial service provisioning. The method further comprises selecting at least one first network function for implementing an initial EAS of the one or more first network functions, for providing service to a second functional component implementing application function in the UE. The method further comprises determining a second network function implementing Edge Enabler Server (EES) according to the selected at least one first network function as an initial EAS. The method further comprises transmitting, to the determined second network function, a message for triggering at least one of service session context handling and traffic influence. The message comprises an EAS endpoint of the selected initial EAS.

Described are systems and methods for determining a content element associated with sensitive information, including receiving a content element and locative data associated with the content element, determining whether the content element includes sensitive information, upon determining the content element includes sensitive information, encrypting the content element using DRM technologies to generate a DRM-protected content element via an application server; and causing to output, via a graphical user interface (“GUI”), the DRM-protected content element based on the locative data associated with the one or more content elements determined to include sensitive information.

A computing services environment may include a database system may store database records for client organizations accessing computing services including a conversational chat assistant. The computing services environment may also include an application server receiving natural language user input for the conversational chat assistant and a generative language model interface providing access to one or more generative language models. The computing services environment may also include an orchestration and planning service configured to analyze the natural language user input via a generative language model of the one or more generative language models to identify a plurality of actions to execute via the computing services environment to fulfill an intent expressed in the natural language user input. The computing services environment may be configured to execute the plurality of actions to determine a natural language response message.

The present invention relates to a cyber security authentication method for a displayless networking device. The method includes randomly generating an ephemeral decryption key in a displayless networking device application server; providing the ephemeral decryption key and a network address of the displayless networking device to a user device via an optical identifier; initiating a multi-party multi-factor dynamic strong encryption authentication scheme in the user device based on the ephemeral decryption key and the network address to obtain an ephemeral credential; and authenticating an identity information based on the ephemeral decryption key and the ephemeral credential at least by the user device, the displayless networking device application server, and a security server.

Apparatuses, methods, and systems are disclosed for triggering an action in response to an event notification corresponding to a user equipment. One method includes receiving, from a detection entity, an event notification related to an adaption of a behavior of at least one user equipment. The method includes determining, in response of receiving the event notification, a trigger action for at least one application of the at least one user equipment. The trigger action includes: an edge support service modification; an edge support service cancellation; an edge support service pause; selection of an alternative application server; creation of a new candidate target application server; or some combination thereof. The method includes transmitting the trigger action to an application entity, a further application enablement entity, or a combination thereof to execute the trigger action based on the event notification.

This disclosure provides systems, methods and apparatuses for discovery, by a user connected to a first network, of an edge application server (EAS) associated with a second network. In some aspects, techniques described herein provide a shared EAS discovery function (EASDF), which allows users connected to different home networks to discover EASs across a plurality of networks. Some techniques described herein provide communication between EASDFs of different networks. Thus, a user connected to a first network can discover an EAS of a second network, which enables sharing of EASs across networks. Furthermore, techniques described herein provide communication between a UE connected to a first network and an edge data network (EDN) (such as an EAS hosted by the EDN) of a second network, such as by establishing a connection between a user plane function of the first network associated with the UE and a network entity of the second network.

Methods, systems, apparatuses, devices, and computer program products are described. An application server or a data processing system may generate a set of candidate natural language queries that correspond to a data object (e.g., document, report, assert) based on inputting a set of metadata associated with the data object into a large language model (LLM). The system may embed the candidate natural language queries into a first set of vectors, where a query space may include a collection of the first set of vectors related to the data object. In addition, the system may embed a natural language query received from a user into a second vector. The system may perform a vector-space comparison of the second vector to the first set of vectors or the query space, and retrieve a data object associated with the natural language query based on the comparison.

The invention discloses a transaction data management method based on a block chain and electronic equipment, and relates to the technical field of block chains and the field of financial science and technology. The method comprises the steps of obtaining first data, second data, third data and fourth data in a block chain network through a block chain node server of a financial institution; and verifying the first data, the second data, the third data and the fourth data through a block chain node server of the financial institution, and sending all the data to an application server of the financial institution after the verification is passed. The technical problem that the privacy of user information and the transparency of the transaction process cannot be considered in the existing transaction process is solved.

A disclosure of the present specification provides a method for performing relay communication by a first UE. The method may comprise the steps of: transmitting a request message including UE ID, relay information, UE type information, and UE public key information to an application server through a 5G core network; receiving, from the application server, a security-related message in response to the request message; establishing a security link with the relay UE on the basis of first credential information; and receiving an IP message for configuring a security channel in an IP layer from a second UE.

The invention discloses a cloud application login method, device and equipment and a computer storage medium. The method comprises the following steps: in response to a first request for acquiring a token sent by a cloud machine client, determining a cloud application key according to a cloud application identity identifier in the first request; encrypting the cloud mobile phone information and the user identity information according to the cloud application key, the symmetric encryption algorithm library version, the symmetric encryption algorithm selector, the asymmetric key, the random number and the token expiration time to obtain an encryption result; generating a token according to an encryption result; and sending the token to the cloud mobile phone client to enable the cloud mobile phone client to send the token to the cloud application server, so that the cloud application server decrypts based on the token to obtain the user identity information, and sends the user identity information to the cloud application client to enable the cloud application client to log in the cloud application based on the user identity information. According to the invention, the cloud application can be logged in safely and conveniently.

Methods and apparatuses for edge application service are disclosed. According to an embodiment, an application function (AF) sends, to a network exposure function (NEF), a request for performing an operation related to edge application server (EAS) deployment information for an application. The request is for creating, or updating, or deleting EAS deployment information. The AF receives, from the NEF, a response to the request.

A WTRU may receive a first message comprising one or more criteria associated with an application server. If one or more local application servers satisfy the one or more criteria, the WTRU may send a second message to the local client device. The second message may comprise information for accessing the one or more local application servers in the local network. If no local application servers in the local network satisfy the one or more criteria, the WTRU may send a third message comprising the one or more criteria to a central application management server. The WTRU may receive a fourth message from the central application management server indicating one or more non-local application servers that satisfy the one or more criteria. The WTRU may send a fifth message to the local client device with information for accessing the one or more non-local application servers.

The invention designs a multi-device interconnection control system and a method thereof, and relates to the technical field of Internet of Things platforms, the system is based on a B / S architecture, comprises a device management end and an application server end, can collect and uniformly manage terminal device information, and can realize multi-device interconnection control through a configuration database, a controller format file, a configuration report and a software library. The system realizes equipment identification, software version control and configuration parameter management, comprises the following technologies: establishing a TLS / SSL encryption channel, performing identity verification by using a pre-shared key and an OAuth 2.0 authorization framework, supporting various PnP protocols and plug-in processing, adopting a digital twin technology, monitoring equipment states by a heartbeat mechanism and the like, and further provides a RESTFulAPI interface and a remote firmware upgrading function. And external system access request routing and protocol conversion are realized through the API gateway. According to the technical scheme, the challenge of multi-device interconnection in the prior art is effectively solved.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. One embodiment of the present invention can provide a method and an apparatus for providing a network service function requested by an application server in a wireless communication system.

The invention discloses a WebSocket-based instant message task assigning system. The system comprises two parts, i.e., a server and clients, wherein the server is deployed on an application server and configured with ports for providing external services, and the server is then started; the clients comprises an APP client and a PC client; and information data transmission among the server, the APP client and the PC client is achieved based on the WebSocket protocol, that is, the server provides the instant messaging service, and the clients achieve acquisition of data from the server. Compared with the prior art, the system provided by the invention has the advantages that WebSocket-based instant message task assigning is achieved, and information can be synchronized between the information acquisition clients, so that high timeliness, effectiveness and safety of the information are ensured.

A method implemented in a Wireless Transmit Receive Unit (WTRU) for controlling resource usage associated with delivery of training results for a machine learning (ML) operation includes receiving one-way packet delay measurements between the WTRU and an Application Server or Application Function (AS / AF), predicting one or more upcoming one-way packet delays using the one-way packet delay measurements, determining whether the WTRU is capable of processing and delivering training results of the ML operation to the AS / AF within a specified time period based on the predicted upcoming one-way packet delays, and initiating one of a packet data unit session (PDU) release procedure or a PDU session modification procedure.

The invention relates to a tunnel surrounding rock three-dimensional deformation monitoring system integrating monocular vision and millimeter wave radar. The tunnel surrounding rock three-dimensional deformation monitoring system comprises in-tunnel sensing equipment, a tunnel opening terminal, a database and application server and a remote monitoring end. The invention also relates to a tunnel surrounding rock three-dimensional deformation monitoring method fusing monocular vision and millimeter wave radar. The method comprises the following steps: S1, setting a monitoring target; s2, multi-modal data acquisition is carried out; s3, visual and radar target detection; s4, performing visual and radar heterogeneous data matching; s5, solving pixel displacement and radial displacement; s6, calculating the three-dimensional deformation of the surrounding rock; and S7, alarm judgment and result output. According to the invention, the precision, the real-time performance and the automation level of tunnel surrounding rock deformation monitoring can be obviously improved, and the method is especially suitable for scenes with complex environment and high safety risk in the early stage of tunnel excavation; the invention aims to provide an efficient, accurate and automatic monitoring means capable of adapting to the early stage of excavation for tunnel surrounding rock deformation.