75 results about "Enhanced service" patented technology

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.

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.

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 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.

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.

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.

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.

A method and communication device for enhancing real-time call service, the method is based on the existing call experience, by carrying a new data channel between the terminal device and the call enhancement server, the AS in the IMS network can call the media information of the enhancement service in the call enhancement server based on the data channel to provide users with more rich call enhancement services in addition to the call, the scheme does not depend on the modification of the original voice call system of the terminal, integrates the call enhancement SDK, and utilizes the existing 5G network high bandwidth and low delay characteristics, which greatly improves the original call experience of the user.

The technology described herein is directed towards a hybrid classical-quantum computer system, in which classical hardware is used for qubit control and qubit parameter readout by integrating classical processors with quantum systems. In one implementation, automated calibration of a quantum computing system / qubits is performed based on telemetry data. The automated calibration can be performed via on-device neural processing units running calibration routines / models. Customized advanced calibration services including calibration routine updates can be made available through an Anything as a Service (XaaS) model. External environment data can be used by the calibration routine and calibration algorithms to facilitate even more precise calibration based on a set of one or more external measurements.

The invention provides a method, equipment and a product for determining a tracking result. The method includes receiving a tracking request for tracking a service on a storage device and determining a tracking service command related to the tracking request. The method also includes tracking a job related to the tracking service command, and determining a tracking result by parsing job data related to the job. According to the method for determining the tracking result, observability of service activities can be enhanced, and product research and development and problem diagnosis are effectively assisted.

The invention discloses a WAN (wide area network) RTK (real-time kinematic) enhanced service resolving and broadcasting method based on GeoHash, which comprises the following steps of: coding positions of virtual reference stations in a service area to obtain a virtual reference station set; matching a nearest neighbor base station for each virtual reference station in the virtual reference station set, and carrying out base station networking; when detecting that the data of the reference station is abnormal or the newly added reference station is accessed, triggering a reference station dynamic recombination network based on GeoHash coding; and receiving a request of a moving station, and performing virtual observation data broadcasting based on GeoHash coding. According to the method, the computational efficiency challenge confronted when a large-scale base station generates high-precision differential data in real time in a wide area range is overcome, and the performance bottleneck problem of quick matching of virtual grid points and real-time broadcasting of the differential data under the scene of concurrent requests of massive users is solved.

The application discloses a large language model enhanced user privacy protection cross-domain service recommendation method, first, the data in the data set is screened, a text prompt is designed, a large language model is used to enhance service description text and user attribute information; the service description text is encoded by using a BERT language model to generate embedding; and a PQ method is used to map the text embedding into discrete codes, and a code dictionary is maintained; reading user historical service interaction data, generating user behavior sequence files in time stamp order; the service description information in the user behavior sequence is converted into discrete code representation, input sequence encoder for local model training, and the model with the optimal performance is saved; the parameter gradient of the local model is clipped and quantized, and then uploaded to the server; the model is fine-tuned by using soft prompt and hard prompt. The method reduces the semantic difference in cross-domain recommendation, and fine-tunes the model by using soft prompt and hard prompt, thereby enhancing the personalization and accuracy of recommendation.

A media stream is accessed, and a classification model is selected for identifying objects in the media stream. Using the classification model, it is determined whether a content item of interest to the user is currently being received in the media stream. If the content item is currently being received in the media stream, at least a portion of the content item is recorded from the media stream. If the content item is not currently being received, then recording is paused or delayed until it is determined that the content item is being received.

Systems and methods are provided for providing references to additional services solicited by a client relating to transactions (e.g., real estate or other transactions) and / or other information from engagement platforms and other applications. Centralized systems and related methods for providing such references interact with a user interface with dynamic data display, client status and agent rating features, and customizable and interactive elements, and are used to facilitate providing such references, resulting in enhanced service management, improved communications, quality assessments and feedback, centralized information access, adaptability and customization, and progress tracking, and which can be used by human and / or artificial intelligence agents to enhance the particular application.

A system and method in an aircraft for providing enhanced services is provided. In one example, the method includes: setting up triggering logic to identify a beginning point and ending point for collecting a set of avionics system data during a flight; and systematically retrieving information for use by the triggering logic to identify the beginning point and the ending point. When the beginning point is reached, the method includes systematically repeating: retrieving the set of avionics systems data; and sending, to an off-board application, data from the set of avionics system data that has changed state from prior data sent to the off-board application. When the ending point is reached, the method includes cease sending data from the set of avionics system data to the off-board application.

The application discloses a kind of component orchestration optimization method and system, method includes: obtaining the service request of target object;Based on service request, establish service combination model;Wherein, the definition of service combination model includes task set, service component set, service component action set and service component attribute value set;Through service combination model, based on service component combination reliability optimization, obtain target service component combination;Wherein, service component attribute value in service component attribute value set is associated with service component combination reliability;Service component combination reliability includes service component discovery reliability, service component binding reliability and service component execution reliability.The present application takes enhancing service component combination reliability as the primary optimization goal, can effectively solve the problem of poor optimization ability in large-scale service combination scene, and then realize the reliable and flexible combination of industrial software components in cloud edge collaboration, efficiently and high quality meet user demand, can be widely applied in component orchestration technical field.

The present disclosure relates to a method, a device, and a product for determining a trace result. The method includes receiving a trace request for tracing a service on a storage device and determining a trace service command related to the trace request. The method further includes tracing a job related to the trace service command, and determining a trace result by parsing job data related to the job. The method for determining a trace result according to the present disclosure can enhance the observability of a service activity and effectively assist product development and problem diagnosis.

The application relates to the technical field of cloud computing and cloud service management, in particular to a cloud service adaptive combination method based on a Decision Transformer and a decision support system; the method unifies heterogeneous service data into hierarchical service vectors through hierarchical tokenization and service representation construction; a multi-scale interaction feature extraction and semantic enhancement mechanism is constructed to capture the semantic and behavior dependence between cloud services at different granularities to generate enhanced service representation and compatibility matrix; the state, action and target are jointly embedded into a Decision Transformer model to generate a cloud service combination strategy sequence; through adaptive combination optimization and backtracking adjustment mechanism, the execution feedback and environmental changes are dynamically evaluated, and multi-instance knowledge migration and online strategy generalization are combined to realize cross-instance and cross-scene decision support. The application realizes continuous output of an optimal service combination scheme in a dynamic cloud environment.