104 results about "Enhanced service" patented technology

A flux system includes a memory and a processor in communication with the memory and a sensing device, the memory storing a plurality of capabilities and a plurality of semantic fluxes associated with the plurality of capabilities. The computing system is configured to infer a semantic based on received inputs and to infer an activity interest semantic based on an input, and to assign at least one augmentation servicing agent to service an activity interest based on semantic matching.

The invention discloses a global ionosphere modeling method and device based on Beidou single-frequency ionosphere weighted PPP, and belongs to the technical field of GNSS navigation positioning and atmosphere modeling. The method comprises the following steps: acquiring real-time precise orbit and clock error information of a Beidou satellite and an initial ionospheric delay correction value; a single-frequency ionosphere weighted precision single point positioning (SF-IW-PPP) observation equation is constructed; establishing a space-time correlation constraint model of the ionized layer delay error and determining a prior variance; carrying out combined calculation by taking the previous variance as a constraint to obtain an ionosphere delay residual error, and further obtaining the total delay of the high-precision inclined ionosphere; and finally generating a global ionosphere grid model. According to the invention, high-precision and real-time global ionosphere modeling is realized by only needing a low-cost single-frequency receiver and combining Beidou real-time enhancement service, the hardware threshold and data processing delay are remarkably reduced, and the method is suitable for the fields of public navigation, intelligent transportation, space weather monitoring and the like.

The invention discloses a PPP / INS / vision / LIDAR tight coupling navigation method based on multi-system real-time precision service, and belongs to the technical field of navigation and positioning. In order to solve the problem of insufficient real-time positioning precision and reliability in a complex urban environment, the invention provides a hierarchical fusion architecture: firstly, by using original data of an inertial navigation system, a visual sensor and a laser radar, high-precision and high-frequency local pose estimation is generated through tight coupling factor graph optimization; the accumulative error of inertial navigation is effectively inhibited; then, taking the local attitude as observation information, and performing tight coupling factor graph optimization on the observation information, a precise orbit obtained by PPP enhanced service decoding and a GNSS original observation value after clock correction, namely a pseudo range and a carrier phase; multi-source information is deeply fused on the observation value level, the complementary advantages of the sensors are fully played, and finally continuous and reliable centimeter-level high-precision positioning in the urban complex environment is achieved.

Methods and systems for connection management are disclosed. A service entity may provide preferential treatment to a group of devices on a network. To identify itself as being entitled to receive such treatment, a user device may send one or more credentials to a server device associated with the service entity. The credential(s) may be used to determine if the user device belongs to the group of devices. If the user device belongs to the group of devices, the service entity may establish one or more enhanced service flows that the user device can use to communicate with and / or over the network.

A gear control system and method, and a vehicle (100) and a storage medium. The gear control system comprises: an I / O abstraction layer (10), which is used for acquiring voltage information of gear control hardware in a target vehicle (100), and determining target I / O information on the basis of the voltage information; an atomic service layer (20), which is used for determining an output gear of an atomic service on the basis of the target I / O information, and transmitting the output gear of the atomic service to an enhanced service layer (30); the enhanced service layer (30), which is used for determining a target gear on the basis of vehicle (100) state information of the target vehicle (100) and the output gear of the atomic service; and a gear application layer (40), which is used for controlling the gear of the target vehicle (100) on the basis of the target gear.

The invention belongs to the technical field of aviation airborne system design, and provides a helicopter airborne system-oriented novel software architecture and a construction method thereof, and the architecture comprises a hardware abstraction layer, a framework resource layer, an intelligent platform service layer and an application software layer from bottom to top. And the hardware abstraction layer realizes decoupling of hardware and basic software of an operating system. The framework resource layer supports operation of a hybrid key operating system, supports and isolates tasks and application programs with different key levels, software bases and computing power requirements, and provides basic computing communication resources and AI computing power resources. The intelligent platform service layer comprises middleware, a servitization function unit and a servitization management unit, and the servitization function unit comprises atomic services and enhanced services. And the application layer interacts with the intelligent platform service layer and is decoupled from a bottom software and hardware environment. The framework is suitable for unmanned / manned helicopters, and generalization of platform support and maximum reuse of software assets are achieved.

The invention provides a transaction service method and system based on voice recognition, and relates to the technical field of automatic ticketing. The method comprises the following steps: receiving a voice instruction of a user, converting sound waves into digital signals by adopting a signal processing technology, and converting voice into texts to generate a voice text conversion result. According to the invention, through keyword extraction and intention analysis, the demands of the user, such as budget and lottery ticket types, can be analyzed more accurately, purchase parameters better meeting the demands of the user can be configured, a linear programming tool is used to optimize the time configuration of a purchase process, waiting and processing time is reduced, transaction efficiency is improved, and by analyzing a lottery ticket purchase strategy, the user experience is improved. According to the method, the expected value is calculated, and the optimal purchase strategy is recommended, so that the user can make a more intelligent purchase decision according to the expected income, the potential of return on investment is improved, the reachability and personalization of the service are greatly enhanced, and more convenient and safer ticket purchase experience is provided.

Embodiments provide a social networking platform offering various services, such as, facilitating aggregation and management of a user's interaction on one or more social networking platforms, offering enhanced control over the level of privacy associated with the flow of user data, offering tools to customize the user's exposure to advertisement-related content on the social networking platform(s), integrating features to control aspects of how data / content is presented to and visualized by the user, empowering the user to multicast direct messages to other users without the other users having to meet certain constraints, empowering the user to create and / or join a group based on messaging threads, and the like. One or more of these enhanced services / features are associated with a powerful framework of authentication / permission model for access control.

The invention provides an online and offline business collaborative optimization method and system for a service platform, and relates to the technical field of business management, and the method comprises the steps: receiving natural language input data of a user, and constructing an intention-matter-path ternary semantic mapping; activating a multi-source sensing channel of the service platform, executing online and offline state real-time sensing, and establishing a state-service limiting factor; service scene perception is executed, and a multi-target optimization channel is configured; performing path optimization reconstruction by taking the intention-item-path ternary semantic mapping and the state-service limiting factor as input, and establishing a path optimization reconstruction result; and carrying out online and offline business collaborative optimization management. Through the method and the device, the technical problem of relatively low service handling efficiency caused by online and offline flow splitting and different standards in the prior art is solved, dynamic collaborative reconstruction and intelligent scheduling of online and offline services are realized through semantic recognition and multi-objective optimization, and the service quality and efficiency are enhanced.

A computing system may receive, via a client interface, a query to trigger a prompt of a set of prompts configured for a large language model (LLM), where the query may be indicative of a set of data from one or more data sources linked to the prompt. The computing system may transmit, to an augmentation service, a request for a set of grounding data associated with the set of data from the data sources linked to the prompt. The computing system may then receive, from the augmentation service, the set of grounding data where the set of grounding data includes hierarchical context data from the data sources. The LLM may then be queried via the prompt using the first set of data and the set of grounding data. The response to the query may then be provided, to the client interface, for display via the client interface.

The present invention discloses a method for designing inter-layer links of multi-layer constellations with enhanced service coverage capability, comprising: constructing a large-scale multi-layer satellite network spanning T time slots, and obtaining the coordinates of all satellites in the multi-layer satellite network in each time slot under geocentric coordinates; constructing an adjacency matrix of each constellation layer in the multi-layer satellite network; constructing a feasible set of satellite links between two adjacent layers in each time slot multi-layer satellite network; constructing a ground non-uniform service model based on geographic population distribution, dividing the earth's surface into multiple logical regions; calculating the weight of each time slot inter-layer link in the satellite link feasible set; establishing an inter-layer link allocation model based on the weight of the inter-layer link; optimizing the inter-layer link set in the satellite link feasible set to obtain an optimized inter-layer link set. The present invention designs a large-scale satellite network inter-layer topology by constructing inter-layer links, improves the throughput of the multi-layer satellite network, and effectively enhances the service coverage capability for global non-uniform services.

The invention discloses a large language model enhanced user privacy protection cross-domain service recommendation method, which comprises the following steps of: firstly, screening data in a data set, and designing a text prompt to apply a large language model enhanced service description text and user attribute information; a BERT language model is used for coding the service description text, and embedding is generated; embedding and mapping the text into discrete codes by using a PQ method, and maintaining a code dictionary; reading user historical service interaction data, and generating a user behavior sequence file according to a timestamp sequence; service description information in the user behavior sequence is converted into discrete code representation, the discrete code representation is input into a sequence encoder for local model training, and a model with the optimal performance is stored; the parameter gradient of the local model is clipped and quantified and then is uploaded to a server; and performing fine adjustment on the model by adopting soft prompt and hard prompt. According to the method, the semantic difference in cross-domain recommendation is reduced, the model is finely adjusted through soft prompt and hard prompt, and the recommendation individuation and accuracy are enhanced.

The invention relates to the technical field of charging and discharging scheduling, in particular to a charging pile group and cloud collaborative charging and discharging scheduling method and system supporting V2G, and the method comprises the steps: collecting the return time and the departure time to generate a V2G scheduling time slice sequence, making a time slice charging and discharging arrangement through combining the electricity price and load information, and delimiting the vehicle charging and discharging participation range according to the battery state and facility constraint. And vehicle pile matching and task allocation are executed based on the energy flow direction and the participation range, and a charging and discharging scheduling result is generated in response to the connection and operation change dynamic adjustment instruction during execution. According to the method, available scheduling units are locked according to a return-to-field vehicle departure time sequence, an energy direction label is determined through power grid information mapping, vehicle state guarantee and an in-station bearing boundary are fused to generate a participation set to screen feasible tasks, and a connection and plan change response mechanism is introduced in an execution stage to recombine resources and correct instructions. And finally, the scheduling stability and the energy collaboration level are improved, and the service fulfillment certainty is enhanced.

The invention provides an NTN-oriented intelligent mobility management and service continuity guarantee method, which is executed by an intelligent mobility management engine at a network side, and comprises the following steps of: based on real-time position information of user equipment and a network node, predicting a position in a future set time by utilizing a prediction algorithm; a dynamic network relation graph is constructed based on the prediction result; analyzing the dynamic network relation graph by using a graph neural network to obtain a network reconfiguration decision; and based on the network reconfiguration decision, indirectly guiding the network equipment to trigger a switching process meeting the 3GPP standard so as to execute switching and core network element migration. A network reconfiguration decision is obtained by constructing a dynamic network relation graph, and the decision guides a standard 3GPP process to be triggered and executed towards a globally optimal direction in a mode of pre-configuring network resources and optimizing a strategy. Therefore, the purposes of seamless switching, reduced signaling overhead, decision globalization and remarkably enhanced service continuity are achieved.

An intermediary between a client and a target receives response data from the target based on a request from the client to the target. The intermediary modifies, to obtain modified response data, the response data to include a resource locator that references the target. The intermediary transmits the modified response data to the client. The intermediary receives a subsequent request from the client associated with the resource locator. The intermediary processes the subsequent request without forwarding the subsequent request to the target.

The invention discloses an unmanned aerial vehicle cluster autonomous decision-making method and system fusing Beidou enhancement service and multi-source perception, and the method comprises the steps: enabling each unmanned aerial vehicle to receive a satellite-based enhancement signal, carrying out the real-time calculation of the satellite-based enhancement signal through employing a precise single-point positioning technology, and obtaining precise PVT information; each unmanned aerial vehicle synchronously collects sensor information, carries out space-time alignment on the sensor information and the precise PVT information, and processes local sensing features and wide-area geographic information by using an information fusion model to generate a global environment situation tensor; inputting the global environment situation tensor into a deep reinforcement learning strategy network to obtain a task instruction set; carrying out consensus confirmation on key instructions in the task instruction set by utilizing a Beidou global short message to obtain a task instruction after consensus; and each unmanned aerial vehicle performs collaborative operation based on the task instruction after consensus, performs real-time fusion on new perception data generated in the execution process and precise PVT information, and inputs the fused data into the information fusion model again to complete an autonomous decision closed loop.

Solutions for intelligent allocation of internet protocol (IP) multimedia system (IMS) resources include: receiving, at a first node, over a wireless network, a request from a client device for a data traffic session passing through an internet protocol (IP) multimedia subsystem (IMS), the client device connected to the wireless network via an air interface; determining, by the first node, a priority of the client device for receiving enhanced services for the data traffic session, the enhanced services requiring a higher bandwidth than non-enhanced services; based on at least the priority of the client device and (in some examples) loading of the wireless network, determining whether the enhanced services are to be allocated for the data traffic session; and based thereon instructing the client device to use non-enhanced services for the data traffic session.

The application discloses a response method and device for differential enhanced service request, equipment and storage medium, the method comprises the following steps: obtaining the differential enhanced service request sent by a service requester; determining the grid range type corresponding to the differential enhanced service request according to the grid coding in the differential enhanced service request; determining the differential correction data in the corresponding grid range and the broadcast frequency of the differential correction data according to the grid range type; sending the generated differential correction data to the service requester according to the determined broadcast frequency; by implementing the application, the differentiated needs of different service requesters for correction data can be met.

Embodiments of the present application may provide apparatus, systems and methods for supporting services, including extended reality (XR) services. According to some embodiments, a mobile network architecture includes an application control function (ACF) that interacts with an application function (AF) to provision parameters such as device group information, data session details, and quality of service (QoS) profiles. In some embodiments, the session management function (SMF) facilitates data session establishment by coordinating with access networks (ANs) and other components. In some embodiments, packet handling for groups of devices, such as in XR applications, may be performed by the AN or a node within the AN. Embodiments may enhance scalability for XR services, improve resource utilization, and support reliable, resource-efficient data delivery. These systems may dynamically adapt to group-level requirements, improve delivery of application data and experience across diverse applications.

The application discloses a single-frequency ionospheric delay autonomous correction method and relates to the field of GNSS positioning. In view of a strong ionospheric disturbance scenario caused by magnetic storm, the method adopts a multi-ionospheric piercing point space-time decoupling algorithm, and only single-frequency pseudorange and carrier phase observation can be used to complete autonomous correction of ionospheric delay error of BDSK. The method does not need to depend on a ground reference station network and a double-frequency receiver hardware condition, and only relies on observation data of the receiver itself to autonomously complete ionospheric delay correction calculation, can be applied to a Beidou single-frequency positioning application scenario in a magnetic storm and the like strong ionospheric disturbance environment, effectively solves a technical problem that in the prior art, in a magnetic storm and the like strong ionospheric disturbance environment, ionospheric delay correction precision of a single-frequency receiver is reduced under a condition that a BDS BAS satellite-based augmentation service is invalid, and significantly improves the precision and operation robustness of Beidou single-frequency positioning in a complex space disturbance environment.

This application relates to a vehicle-side software architecture, a vehicle's electronic and electrical architecture, and a vehicle, falling under the field of vehicle technology. The vehicle-side software architecture includes a cross-domain service layer, an enhanced service layer, an atomic service layer, and a device abstraction layer deployed on the vehicle's area controller and communicating sequentially, as well as an electronic control layer that communicates with the enhanced service layer. The cross-domain service layer is used for communication between the area controller and other vehicle domain controllers. The enhanced service layer performs logical judgments on control request signal groups and transmits target control signals to the cross-domain service layer and the atomic service layer. The atomic service layer, based on the target component control service pointed to by the target control signal, calls the device abstraction layer to control the corresponding vehicle components to execute control functions. The device abstraction layer provides a standard abstraction of hardware interfaces to enable communication between components and the atomic service layer. The electronic control layer provides a standard interface for communication protocol interfaces to enable communication between components and the enhanced service layer. This approach is beneficial for improving the overall vehicle intelligence level and development efficiency.

This application relates to a vehicle control system based on the SOA architecture. The above vehicle control system includes a basic platform layer, a device abstraction layer, an atomic service layer, an enhanced service layer, and a vehicle control application service layer: The basic platform layer is used to drive vehicle devices; the device abstraction layer is used to standardize the interfaces of the basic platform layer and is also used to collect the device working data of vehicle devices; the atomic service layer is used to process the device working data collected by the device abstraction layer to obtain the processed device working data; among them, the data processing includes data fusion and data parsing; the enhanced service layer is used to perform enhanced data parsing on the processed device working data reported by the atomic service layer to obtain enhanced service data; the vehicle control application service layer is used to provide vehicle control application services for vehicle devices according to the enhanced service data. Using this system can improve software reuse and reduce development complexity.

A graph-based hierarchical hybrid enhanced service combination recommendation method comprises the following steps: performing MLP enhancement on original embedding based on an MLP residual error to generate MLP enhanced embedding; constructing a graph structure propagation model comprising a post-graph mixing enhancement module and a cross-view mixing enhancement module; respectively inputting the bipartite graph and original embedding and MLP enhanced embedding into a LightGCN network of an enhanced module, and generating graph enhanced original embedding and graph enhanced MLP embedding; performing interpolation on a Mixup unit of the mixed enhancement module after the graph enhancement original embedding and the graph enhancement MLP embedding are input into the graph, and generating interpolation embedding including final global user embedding and final local user embedding; and inputting the final global user embedding and the final local user embedding into a cross-view hybrid enhancement module for cross-view interpolation to obtain final user embedding. According to the method, by introducing the embedded enhancement module based on the MLP residual error, non-structural recessive features can be modeled, and preference information of users except for graph propagation on atomic services and combinations of the atomic services can be captured.

The application discloses a GNSS enhanced positioning method based on self-defined RTCM electric text and belongs to the field of GNSS high-precision navigation and positioning. The method comprises the following steps: a data processing center generates and broadcasts a standard RTCM electric text used by a conventional network RTK at the same time, and generates a self-defined RTCM electric text containing various GNSS enhanced information, wherein the enhanced information comprises high-precision regional atmospheric correction information, ionospheric flicker flag information, regional atmospheric model configuration and quality indexes. After a user positioning terminal receives the self-defined RTCM electric text, the quality indexes are used to evaluate the advantages and disadvantages of a current observation environment, and a positioning second-order polynomial model is adaptively optimized, so that the positioning precision and reliability are effectively improved, especially during an ionosphere active period. The application solves the technical problems that traditional enhanced service information is single and cannot transmit refined quality control information to a terminal, and provides a strong guarantee for the stable application of high-precision GNSS service under various conditions.

An SOA-based smart recharge control method for a vehicle, and a device, a medium and a vehicle. An SOA at least comprises a system service layer, a basic service layer, an enhanced service layer, an atomic service layer and an I / O abstraction layer. The SOA-based smart recharge control method for a vehicle comprises: a smart recharge system of a system service layer acquiring information from a basic service layer, an enhanced service layer and an atomic service layer, and determining whether a smart recharge service trigger condition is met; when the trigger condition is met, the smart recharge system calculating recharge information on the basis of environment information and vehicle body information; the basic service layer receiving an instruction from the smart recharge system to control a vehicle to energize a high voltage and perform recharge according to a recharge duration; and after the recharge is finished, the smart recharge system controlling the vehicle to exit the recharge, and sending, by means of a communication interface of the basic service layer, process record information to a cloud platform for analysis. By means of the SOA-based smart recharge control method for a vehicle, the flexibility, scalability and maintainability of a vehicle recharge function can be improved.

An inter-layer link design method of multilayer constellations with enhanced service coverage capacity is provided, the method includes: establishing a multilayer satellite network spinning T time slot, and obtaining a coordinate of each satellite in the multilayer satellite network at each time slot under a geocentric coordinate system; establishing an adjacency matrix of each constellation in the multilayer satellite network; establishing a feasible set of inter-layer links between adjacent layers in the multilayer satellite network for each time slot; establishing a globally non-uniform service model according to geographical population distribution, and dividing an earth surface into multiple logical area; obtaining a weight of inter-layer link in the feasible set of inter-layer links at each time slot; establishing an assignment model of inter-layer link according to the weight of inter-layer link; and optimizing an inter-layer link set in the feasible set of inter-layer links to obtain a target inter-layer link set.

Different operations have different clock rate bottlenecks. For example, in a read operation, the processors might be the bottleneck, while other operations are not bottlenecks. In these other operations, the clock rate can be reduced to save power, since a higher clock rate offers no benefit if the bottleneck is elsewhere. Predicting the bottleneck would be advantageous. Statistics are tracked that correlate the bottleneck points with the workload and clock rates. If the workload changes, these statistics can be used to determine where the bottleneck is located and then the clock rates for non-bottleneck operations can be reduced. A clock rate table is maintained in the device controller. This table contains the clock rate of each component.Predicting the workload and thus the clock rates reduces power consumption, improves performance, and enhances the compatibility characteristics of the Quality of Service (QoS).

Aspects of the subject disclosure may include, for example, providing prioritized Wi-Fi access to public service user equipment for use by government users and emergency service providers. The prioritized Wi-Fi access may include allocating dedicated Wi-Fi channels or enhancing Quality of Service (QoS), for example, during network congestion. The public service user equipment send, to an Wi-Fi access point, a priority access request with a Emergency Preparedness Communication Service (EPCS) indicator for verifying eligibility of the prioritized Wi-Fi access at a Wi-Fi backend network. Other embodiments are disclosed.

The present application provides a method and device for evaluating the performance of satellite-based augmentation navigation, which relates to the field of high-precision positioning technology. The method includes: obtaining the regional scope of the area to be evaluated, and performing a grid point division operation on the area to be evaluated according to the regional scope, where the grid point division operation is used to divide the area to be evaluated into multiple sampling grid points; obtaining the augmentation information data and broadcast ephemeris data of the target satellite, and calculating the augmentation orbit error and augmentation clock error of the target satellite according to the augmentation information data and broadcast ephemeris data; using the augmentation orbit error, augmentation clock error of the target satellite and the sampling grid point positions as inputs, and respectively calculating multiple groups of positioning errors of the target satellite at multiple sampling grid points through a precise positioning model, where one sampling grid point corresponds to one group of positioning errors; constructing a positioning error sequence through multiple groups of positioning errors, and calculating the convergence time and positioning accuracy when the convergence condition is met according to the positioning error sequence; sending the convergence time and positioning accuracy as the performance evaluation results to the terminal device. The present application solves the problem that the current method for evaluating the positioning performance of satellite-based augmentation services cannot uniformly select tracking stations in a specified service area for positioning performance evaluation. Therefore, in the case where there are no actual measurement stations available even at the boundary of the service area, the positioning performance evaluation results cannot comprehensively and objectively reflect the actual capabilities of the augmentation service.

Disclosed herein are systems, methods, and computer-readable media for managing Layer 2 (L2) and Layer 3 (L3) policies. Traffic is routed from a first VM to a first CGW within a Service Node, where the Service Node can include a centralized policy for both L2 functions and L3 functions, and the first CGW can integrate both L2 gateways and L3 gateways. Based on a floating IP address of the packet, the traffic is routed within the Service Node, the traffic being routed by an access BD from an ingress BD-VIF to an egress BD-VIF. The traffic is then routed from a second CGW that integrates both L2 gateways and L3 gateways to the destination VM.