12 results about "Application service provision" patented technology

The invention discloses a digital management system based on a multi-tenant architecture, and belongs to the technical field of multi-tenant atomic capability platforms, the system comprises an application layer, a business layer, an acquisition layer and a terminal layer, the application layer performs data interaction with the business layer and an external system capability service through a service gateway and a service registration configuration center; the business layer comprises a resource management module, a comprehensive monitoring module, an intelligent operation and maintenance module and a system management module, and adapts and converts atomic service capability interfaces of various transmission protocols through interface adaptation services to obtain atomic capability services provided by application services; and the data storage module is used for realizing multi-tenant database sharing based on the shared database and the independent schema, and realizing logic isolation of the independent schema through code logic. The digital multi-tenant atomic power open system is formed, the hardware cost and the maintenance cost can be greatly reduced, and the resource utilization efficiency is improved.

To provide an information processing device capable of supporting report creation using an external AI system, a report creation system, a program, and an information processing method.SOLUTION: An information processing system is configured to: receive a screen information acquisition request of an analysis screen for data managed by an application provided by an information processing device or an application service from a user terminal; transmit screen information including an analysis program which acquires application data from the application service to create analysis data and upload the created data to a generative AI system to the user terminal; when receiving the analysis data and a chat message related to analysis input to the analysis screen displayed on the user terminal from the user terminal, transmit a request message requesting the analysis of the analysis data according to the message to the generative AI system; receive a response message including the analysis results of the analysis data from the generative AI system; and transmit a report including the analysis results to the user terminal.SELECTED DRAWING: Figure 4

The application relates to a city operation knowledge graph construction method and device and computer equipment. The method comprises the following steps: acquiring city operation thematic data; converting the city operation thematic data according to the format of space-time data, and collecting elements of the space-time data after format conversion to obtain a thematic element space-time data set; calculating a correlation coefficient between at least two thematic element space-time data sets through a preset element correlation analysis algorithm; the correlation coefficient is used to determine the correlation elements in the city operation data; a city operation knowledge graph is constructed according to the correlation information of the correlation elements; and the city operation knowledge graph is sent to a terminal for graph display. The method can improve the processing efficiency of massive heterogeneous city data, provide effective technical improvement for potential law mining of city operation, provide data support for related application services of a smart city, and meet the needs of users for visual monitoring of city operation.

To support preparation of a report with utilization of an AI system.MEANS FOR SOLVING THE PROBLEM: An information processing apparatus is adapted to: upon receiving, from a terminal, an acquisition request for screen information of an analysis screen of data managed by an application provided by an information processing apparatus or application service, send, to the terminal, screen information including an analyzing program to acquire, from the application service, the data managed by the application, prepare data for analysis, and cause a generative AI system to upload the prepared data for analysis; upon receiving, from the terminal, the data for analysis and a chat message about an analysis inputted to an analysis screen displayed on the terminal, send, to the generative AI system, a request message requesting an analysis of the data for analysis matched with the chat message, and receive, from the generative AI system, a response message including an analysis result of the data for analysis; and furthermore send, to the terminal, a report including the analysis result.SELECTED DRAWING: Figure 4

The application provides a ship detection method and device based on remote sensing images and processing equipment. By optimizing the existing YOLOv8 model twice, the ship detection based on satellite remote sensing images can achieve faster convergence speed and higher detection accuracy, thereby meeting the high-quality ship detection demand in actual situations, and providing better data support for application services such as fishing boat navigation, fishing boat distribution monitoring, fishing boat distribution management, etc.

The disclosure describes an application service that provides guided workflows for performing maintenance on industrial automation devices. In response to a request from a user, the application service retrieves documentation associated with the device and generates an assistance prompt requesting a list of prerequisites and a list of steps for performing the maintenance. The application service leverages a generative artificial intelligence model by submitting the prompt to obtain an ordered list of steps for performing the maintenance along with the prerequisites, and in some cases safety precautions. The application service transmits the list of prerequisites to a user device for display, which the user may use to prepare for performing the maintenance.

The invention provides a network fault analysis method and device, a management analysis platform and a storage medium. The method comprises the following steps: acquiring physical layer equipment information, virtual layer information and application layer information; constructing a network topology model based on the physical layer equipment information, the virtual layer information and the application layer information; the network topology model comprises a physical layer, a virtual layer and an application layer, the physical layer is used for displaying a connection relationship among hardware devices, the virtual layer is used for mapping an association relationship among a virtual machine, a host machine and a virtual network, and the application layer is used for marking a position of an application service in a network environment and associating a service path provided by the application service; collecting network operation data, wherein the network operation data is used for reflecting the transmission performance of a network link and the operation state of a service in a real-time network environment; and associating the network topology model with the network operation data, comparing the associated network operation data with reference data in a normal state, and positioning a network fault based on a comparison result.

Aspects of the present disclosure relate to a network entity of a wireless communication system, the network entity comprising: at least one memory; and at least one processor coupled with the at least one memory and configured to cause the network entity to: receive, from a consumer entity, an application layer request to support a machine learning enabled application service, where the application layer request includes a machine learning model identifier and / or an analysis event identifier; and determining a first requirement to provide longitudinal federated learning training for the machine learning enabled application service based on the application layer request. A second requirement is determined based on the first requirement, wherein the second requirement includes a dataset requirement for the machine learning enabled service.

A home network device may receive, from a visited network device, an authentication request for network key information associated with a user equipment roaming in a visited network and utilizing an application service. The home network device may provide, to the visited network device and based on the authentication request, the network key information that includes a set of application function keys with at least an application key identifier and an authentication key identifier associated with the user equipment. The home network device may enable the user equipment to access the application service based on the visited network device provisioning the application service with the network key information.

Various aspects of the disclosure relate to automated route testing for application programming interfaces (APIs). An API route testing systems is configured to use classes and methods to identify API routes called by APIs and routes made available by application services. The class methods are customizable based on a programming language, testing or development framework, and the application type. Instances of classes are provided to detect routes similarly to API functions incorporated into a client application. Classes also detect routes in use by client services. A separate class is provided to compare the lists of API called routes and routes used by client services to return a listing of duplicate routes, unused API routes and client calls to invalid API routes (e.g., missing routes). For found duplicate routes and missing routes, the API route testing system generates an indication of the error and lists routes causing the error.

One embodiment of the present invention provides an application service-providing method comprising the steps of: in a computing system that manages a platform providing a client with isolated workspaces in which an application package is executed, receiving, from the client, a channel request to transmit and receive information; and providing a platform service for the client to convert the application package in the workspaces.

The invention particularly relates to a network communication system and method for improving the reliability of cloud application services. The network communication system for improving the reliability of the cloud application service is established based on an Openstack cloud computing management system; the Neutron component serves as a core executor of a network node of the Openstack cloud computing management system, is responsible for bearing key services including an L3Agent, a DHCP Agent and a Metadata Agent, realizes a Neutron L3HA function in combination with the L3Agent service and an HA router, provides an IP address allocation function by creating and managing a virtual router, and provides network connection, address management and service discovery capabilities for a whole cloud platform. According to the network communication system and method for improving the reliability of the application service on the cloud, the high availability of the L3Agent service is realized, a uniform outlet is provided for a plurality of application virtual machine instances, the plurality of application instances are mutually redundant, the reliability and continuity of the service are greatly improved, a single-point fault is avoided, and a reliable external access method is provided for an intranet application service.