303 results about "Service usage" patented technology

Computer-implemented techniques for verifying translated access controls for application modernization include an application modernization service of a provider network obtaining a source access control. The service translates the source access control to a target access control. The service compiles the source access control and the target access control into respective automated reasoning solver encodings. The service uses the automated reasoning solver encoding to query an automated reasoning solver such as a Satisfiability Modulo Theories (SMT) solver to determine whether the source access control is less or more permissive than the target access control representing a security issue or an availability issue with the target access control, respectively.

A cloud-based, machine-learned cybersecurity command line interpretation service simplifies complex command lines using plain language. Command lines are input to the cybersecurity command line interpretation service for an interpretation by a machine learning model. If, however, a command line is known and been previously interpreted, then the cybersecurity command line interpretation service may conserve hardware and software resources by retrieving a historical command line interpretation. If the command line is unknown or not historically logged, then the cybersecurity command line interpretation service may generate a current command line interpretation using the machine learning model. The cybersecurity command line interpretation service may then generate a cybersecurity prediction associated with the command line based on the historical or current command line interpretation. The cybersecurity command line interpretation service thus provides a much faster interpretation and cybersecurity prediction for assessing command lines as malicious or benign.

The invention provides a satellite-borne comprehensive electronic short message implementation method and system, and the method comprises the steps: carrying out the software design of a comprehensive electronic short message, designing a software processing method of a response frame, an on-demand report frame and a periodic response frame, optimizing a short message data downloading strategy, greatly improving the downloading efficiency of satellite telemetering and application data, and improving the downloading efficiency of satellite telemetering and application data. The problems that the number of current on-orbit satellites is large, the domestic segmental arc is short, and resources of on-satellite telemetry data downloading channels are insufficient are solved, and the on-orbit service use efficiency of the satellites and the emergency state processing capacity of the satellites can be improved to a great extent.

The invention belongs to the technical field of computing power networks, and discloses a self-adaptive heterogeneous computing power network and an operation method thereof. The network comprises a computing network infrastructure layer which is used as the bottommost layer of the adaptive heterogeneous computing power network and comprises computing power resources and network resources; the resource abstraction layer is used for abstractly packaging computing power resources and network services provided by the computing network infrastructure layer; the computing network integrated layer is used for preprocessing and joining resource objects; the computing network brain layer is used for realizing collaborative scheduling of resources of the whole network; and the heterogeneous computing power network service base layer and the user service layer are used for integrating bottom computing power resources, network resources, intelligent arrangement and whole-network collaborative scheduling services into standardized services. According to the method, the existing heterogeneous computing power resources are constructed into the self-adaptive heterogeneous computing power network, the computing power bottleneck of a single computing power resource is broken through, meanwhile, a unified and more powerful computing power service is provided for a user, and the user does not need to care about the specificity of each computing power resource.

An autonomous fraud / AML reporting system and methods are provided that are configured to automate SAR narrative generations using prompts to a generative AI service by an automated SAR narrative system. The system includes a processor and a computer readable medium operably coupled thereto, the computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, to perform narrative generation operations which include receiving a SAR, loading a prompt template that is associated with generating a SAR narrative by the generative AI service, extracting SAR data corresponding to one or more of prompt input fields for the prompt template, creating an updated prompt based on the extracted SAR data and the prompt template, calling the generative AI service using the updated prompt, receiving a response to the updated prompt, combining the responses and generating and storing the SAR narrative.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as financial science and technology, medical health and the like, and discloses an abnormity early warning method, device, equipment and medium based on stage penetration, and the method comprises the steps: collecting interaction whole-process behaviors to form a continuous data chain, and constructing a multi-dimensional dynamic portrait; establishing a stage penetration model, and defining progressive migration of three stages of service interaction, service use and exception occurrence; calculating the overlap ratio of the interactive and used feature identifiers at the first level, and calculating the difference degree of the used and abnormal feature identifiers at the second level; training an early warning model in combination with historical data; inputting the current state of the portrait, and outputting an abnormal level; and triggering an early warning signal according to the grade. According to the method, portraits and historical statistics are converted into calculable coincidence degree and difference degree indexes through staged modeling and hierarchical penetration, and the early warning model is formed by weights and threshold values, so that the abnormal level is judged in advance, the recognition accuracy and the response timeliness are improved, and preferential disposal of resources is facilitated.

A container management module or a configuration management module changes a state of a network service for providing a communication service. An AI / big-data processing module calculates an index value indicating a use status of the communication service dependent on the state of the network service in a status before the change of the state at present or at a future time based on: an actual result value of a use status of the communication service independent of the state of the network service at a timing after the change of the state; and the state of the network service before the change of the state. A policy manager module determines whether the calculated index value satisfies a predetermined condition.

A cloud-based service assesses sequences of bits / bytes in natural language using a large byte model representing a large language model trained using a byte vocabulary expansion. The byte vocabulary expansion allows the large language model's textual vocabulary to also include byte-related information associated with different sequences of bits / bytes (e.g., 1's and 0's). The large byte model may thus be given a binary input, and optionally a textual instruction, and the large byte model generates simple natural language descriptions explaining / describing binary input.

To provide a technique capable of promoting the use of services.SOLUTION: A program causes a computer to function as, in a game that uses location information indicating a location of a user in a real space, in which each location in the real space is associated with each location in a virtual space, replay control means for controlling a specific event to be replayed at a specific location if the user satisfies a predetermined condition within a predetermined time limit after the specific event associated with a specific object arranged at a specific location in the virtual space is cleared. The predetermined time limit begins when the specific event is arranged at the specific location and becomes available for play by the user.SELECTED DRAWING: Figure 4

Disclosed in the present disclosure are a resource sharing method, and an electronic device and a storage medium. The method comprises: receiving a sharing condition specified by a user for resources used by a first service; on the basis of the sharing condition, allocating idle resources of the first service to a second service for use; and when it is detected that a sharing end condition specified by the sharing condition is satisfied, controlling the second service to release the resources of the first service which are occupied by the second service. A cloud platform receives the sharing condition specified by the user for the resources used by the first service, so as to allocate the idle resources of the first service to the second service on the basis of the sharing condition, such that the resources locked by the first service are multiplexed, thereby improving the utilization rate of resources. Since the idle resources of the first service are allocated to the second service for use, the normal operation of the first service is not affected; and when the system time reaches a sharing end time specified by the sharing condition, the resources of the first service which are occupied by the second service are released, such that the operation requirements of the first service are ensured.

A human-machine interface (HMI) development and runtime system leverages generative artificial intelligence (AI) to create HMI dashboards or graphical interfaces without the need for manual coding based on natural language prompts submitted by the user, which specify the information the user wishes to see. In one or more embodiments, the system can support industry-specific prompt engineering services that assist a user in generating a customized HMI dashboard that satisfies specified criteria using natural language prompts that describe functional and visual requirements of the dashboard. The system can make use of a generative AI model and associated neural networks to generate suitable dashboards in accordance with functional requirements provided to the system as intuitive natural language inputs (e.g., spoken or written natural language text).

Systems and methods for content-based routing of network traffic for distributed computing services are disclosed. A load balancing device monitors real-time network traffic data communicated to distributed computing services hosted on computing devices across multiple data centers. The load balancing device receives a user request to add a new distributed computing service, including a content map mapping service parameters to target devices. The load balancing device is configured to transmit incoming traffic requests for the new service to computing devices in either a cloud-based or on-premises data center by adding the content map to its routing configuration. Upon receiving an incoming request, the system determines if it corresponds to the new service, identifies a target device mapped to the request parameters using the content map, and transmits the request to the target device.

A communications system for providing secure access to a digital resource of a group of digital resources accessible via the internet, the system comprising: a data processing hub accessible via an IP (internet protocol) address; and a plurality of user equipment (UEs) useable to communicate via the internet, each configured to have a cyber secure isolated environment (CISE) isolated from ambient software in the UE, and comprising a secure web browser (SWB); wherein the hub and CISE are configured so that digital resources in motion and at rest in CISE are visible to the hub.

To determine which users will be most efficiently targeted for service proposals. [Solution] An information processing device comprising: an acquisition unit that acquires target information of multiple target persons; and a processing unit that inputs each of the target person information into a model, acquires a score related to the use of the caching service output by the model, and determines a notification target from among the multiple target persons based on the score, wherein the model is a model that has been trained to output a score according to whether or not the caching service associated with the input target person has been used when the target person information of a target person is input.

A communication management resource receives wireless service usage information indicating travel speeds of multiple communication devices using a first wireless network in a geographical region to access a remote network. The communication management resource further receives a metric indicating wireless services to provide in the geographical region via a second wireless network. Based on the travel speeds of the multiple communication devices and the metric, the communication management resource produces a wireless base station installation plan to install the second wireless network.

To appropriately estimate a user which can be affected.SOLUTION: In an operation management device 15 for managing operation of a system 11 providing service 12 requesting external service 14 to perform processing through an API (Application Programming Interface), a storage device stores test data making the external service execute processing through the API, the external service 14 used through the service 12 by a user, and correspondence between the external service 14 and the API used by the user, and the processor detects whether or not an obstacle occurs on the external service side, confirms whether or not the obstacle on the external service side is reproduced through the API used when the obstacle occurs using the test data, when detecting the obstacle, and specifies the external service and a user using the used API, when reproducing the obstacle on the external service side.SELECTED DRAWING: Figure 1

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.

There is provided a method for generating a response message using a generative AI model, performed by a computing system. The method may include acquiring a first message with a first user as a recipient, automatically generating a first prompt for identifying an intention of the first message, and transmitting the first prompt to a generative artificial intelligence-based query service, receiving a first answer from the generative artificial intelligence-based query service, inquiring information related to the first answer in an internal database that includes first task-related information of the first user, automatically generating a second prompt for generating a response to the first message by using the inquired first task-related information and transmitting the second prompt to the generative artificial intelligence-based query service, and generating a response message to the first message by using a second answer received from the generative artificial intelligence-based query service.

An information processing device (2) is provided with a controller that performs: a process (S3) for identifying a user (U1) who uses a vehicle dispatch service; a process (S3) for determining whether or not the identified user (U1) is a to-be-approved user, who requires approval from a approver user (U2) who is a user other than the identified user, for use of the vehicle dispatch service; and a process for, if the identified user (U1) is the to-be-approved user, presenting, to the approver user (U2), a notification prompting the approver user (U2) to confirm whether or not to approve, as a candidate for a use location that can be used by the to-be-approved user (U1), a use location candidate that has been selected by the to-be-approved user (U1) from among use location candidates that are candidates predetermined as use locations for the vehicle dispatch service.

Techniques for implementing an MDM platform with a P2P mesh network are disclosed. This MDM platform uses a dashboard to facilitate the control of the devices / peers in the P2P mesh network. This network includes: (i) a service, (ii) a first device, and (iii) a second device. The first device is connected to the service by way of a first P2P mesh network connection between the first device and the service. The second device is connected to the service by way of (i) a second P2P mesh network connection between the second device and the first device and (ii) the first P2P mesh network connection between the first device and the service. Data is transmitted using those connections. A dashboard displays the data. The dashboard can also be used to trigger MDM commands to any device in the P2P mesh network, including those that are not connected to the Internet.

The application discloses a system and method for non-invasively upgrading a customer service voice telephone into a video telephone, which comprises a video-assisted client module and a video-assisted server module; the video-assisted client module is non-invasively arranged on a customer service platform and is used as an entrance for a customer service to initiate a request for upgrading a current voice call into a video call and a terminal for the customer service to receive a video call; the video-assisted server module is arranged on an enterprise call center and is used for voice-upgrading a video call, and is connected with an SBC call module of the enterprise call center at an upper end and is connected with a PBX module of the enterprise call center at a lower end; during a voice call process, a call is sent to the PBX module, and a call flow remains unchanged with an original flow of the call center. The application retains an original call center architecture and a voice call flow, realizes a video call function and a scene, and maintains an original customer service usage habit unchanged, and only initiates a video service scene when the customer service triggers actively.

According to the embodiment of the invention, a method and device for information prompting, equipment, a storage medium and a program product are provided. The method comprises: in response to a predetermined trigger for a service, presenting a service query result in a first interface, the service query result being determined at least based on service usage information of a user, the service query result comprises at least one of the following items: a use prompt strategy for at least one service obtained by the user, and a payment prompt strategy for a bill of the at least one service; at least indicating a prompt strategy of executed operation of a target category of at least one service and a prompt strategy of subsequent operation of the target category by using the prompt strategy; and in response to confirmation of the service query result, configuring a reminding function for the at least one service based on at least one of the use reminding strategy and the payment reminding strategy of the at least one service.

A shared portion of processor cores in a data storage system are allocated for sharing between a storage system application and a containerized service also executing in the data storage system. A non-shared portion of the processor cores are allocated for exclusive use by the storage system application. The storage system application preferentially uses processor cores in the shared portion of the processor cores to execute background tasks, and preferentially uses processor cores in the non-shared portion to perform host I / O request processing. The storage system application may from time to time voluntarily yield one or more of the processor cores in the shared portion of the processor cores for execution of the containerized service.

Systems and methods relating to public notification. A system for public notification of emergency situations or for alerting the public of incidents uses one or more servers in a firewalled environment that is segregated from the general Internet. The system receives a data feed from the REST API of computer aided dispatch systems used by the authorities in a jurisdiction (e.g. police and emergency services). The data is converted into standardized nomenclature and is transmitted to apps installed on user computing devices.

This application provides a certificate application method, apparatus, electronic device, and storage medium based on the Internet of Vehicles (IoV). The method, applied in the field of IoV technology, includes: when a vehicle is powered on, detecting whether the storage volume of pseudonym certificates in the vehicle is below a preset threshold; if so, sending a validity period message application request to a target service platform, causing the target service platform to respond to the validity period message application request and return a corresponding target validity period message to the vehicle. The target validity period message carries the service usage status and service validity period for the pseudonym certificate service; based on the returned target validity period message, controlling the application for pseudonym certificates to the pseudonym certificate issuing authority. This method enables flexible management of vehicle PC certificate application behavior, avoids a large number of vehicles applying for PC certificates simultaneously, ensures an orderly and controllable certificate application process and balanced service pressure on the IoV platform side, and improves the overall system's operational stability.

An LLM log parsing service parses log data using at least one large language model. The LLM log parsing service, however, may evaluate multiple log parser candidates. Each log parser candidate parses a sample of the log data using the at least one large language model. The LLM log parsing service generates a log parser decision that selects which one of the log parser candidates best performs as a log parser. The LLM log parsing service then parses the log data using the best log parser.

The present disclosure relates to a communication method and system for integrating a fifth generation (5G) communication system supporting a higher data rate than a fourth generation (4G) system with an Internet of Things (IoT) technology. The present disclosure can be applied to smart services based on 5G communication technology and IoT-related technologies, such as smart homes, smart buildings, smart cities, smart cars, connected cars, healthcare, digital education, smart retail, safety and security services. A method and system for processing UE radio capability information encoding using RACS. The method disclosed herein includes encoding radio capability information of a user equipment (UE) in a format of multiple radio access technologies (RATs), wherein the multiple RATs are supported by a public land mobile network (PLMN) in which the UE is registered. The method also includes allocating a radio capability identifier (RAC‑ID) to the UE for signaling radio capability information encoded in multiple formats over multiple RATs. The method also includes encoding the radio capability information in a specific format of the indicated RAT, and allocating a RAC‑ID to the UE for signaling the radio capability information and the associated encoding format.

An information processing apparatus includes: a processor that, in response to receiving a service use request from a user, executes notification processing that notifies a guardian of the user that the user starts to use a service when it is determined that an age of the user is within a predetermined age range.

The invention discloses a social security personalized service recommendation method based on big data analysis, and relates to the technical field of social security services, and the method comprises the following steps: obtaining multi-source social security data which contains personal basic information, past social security service usage records and social economic condition data; performing feature extraction on the multi-source social security data to generate a feature vector set; and constructing a user portrait model based on the feature vector set, and performing tagging processing on various social security services according to a preset service classification standard. By constructing the multi-source data fusion analysis system, the personal basic information, the previous social security service use records and the social economic condition data are deeply mined, and the user portrait highly fitting the actual condition of the user is generated, so that the service recommendation accuracy is greatly improved, and the user can obtain the really required social security service in time.

The present disclosure relates to systems, methods, and apparatus for improving aircraft traffic control. An example apparatus includes: a network interface for obtaining air route traffic (ART) data associated with aircraft flying in an airspace segment during a first time period; a database controller for generating a first database entry by mapping an extracted portion of the ART data to a first database entry field of the first database entry; and an ART segment service for executing a machine learning (ML) model using the database entry to generate a first aircraft traffic count for the airspace segment during the first time period, executing the first ML model to generate a second aircraft traffic count for a second time period in response to selecting a first ML model from the ML models based on the first aircraft traffic count, and sending the second aircraft traffic count to a computing device to enable aircraft flight plan adjustments.