46 results about "Information support" patented technology

The present disclosure provides a discovery method of a near field communication controller, an AMF, a system and a storage medium, wherein the method comprises: the AMF receiving DDNMF request information sent by a terminal, the information comprising at least one Prose application ID; the AMF sending DDNMF discovery request information to the NRF if it is determined that no target DDNMF information corresponding to the Prose application ID is stored; the AMF receiving DDNMF discovery response information returned by the NRF, the information comprising target DDNMF information supporting the Prose application ID; and the AMF returning the target DDNMF information to the terminal according to the DDNMF response information. The present disclosure solves the problem of the terminal determining a suitable DDNMF in a multi-DDNMF scenario, can enhance the networking expansion capability of near field communication, and improves the user experience.

This disclosure relates to a communication method, communication device, and communication system. The communication method includes: a first device determining a first physical layer protocol data unit (PPDU) and sending the first PPDU to a second device; the user corresponding to the first PPDU includes the second device; wherein the type of the first PPDU is a multi-user physical layer protocol data unit (MU PPDU); the first PPDU is identified by: modulation and coding scheme (MCS) information supported by at least one user corresponding to the first PPDU; the MCS information includes unequal modulation (UEQM) information; thus, a backward-compatible PPDU frame format can be further provided.

Embodiments of the present application provide a measurement method, device and computer storage medium. The measurement method comprises: a user equipment sending information supporting a first measurement function and information supporting a second measurement function to a network device; the user equipment receiving measurement configuration information and feedback mode information sent by the network device; and the user equipment sending a measurement report based on the second measurement function to the network device. The measurement method, device and computer storage medium provided by the embodiments of the present application can reasonably utilize the first measurement function and the second measurement function.

The application discloses a radar control method and a radar control system, and relates to the technical field of artificial intelligence. The method is applied to a radar control system comprising a commander intelligent agent, a plurality of professional intelligent agents, an execution and feedback intelligent agent and a knowledge base layer; the method comprises the following steps: the commander intelligent agent receives initial input information, analyzes an initial target task, disassembles the initial target task into a plurality of subtasks, determines information interaction relationships among the subtasks, and distributes the subtasks to corresponding professional intelligent agents. Each professional intelligent agent independently reasons or horizontally consults according to the requirements of the subtasks based on information support provided by the knowledge base, generates a professional sub-scheme and feeds back the professional sub-scheme to the commander intelligent agent. The commander intelligent agent comprehensively evaluates each sub-scheme, generates an initial radar control scheme and issues the initial radar control scheme to the execution and feedback intelligent agent. The execution and feedback intelligent agent maps and converts the scheme into bottom-layer control instructions which can be directly executed by radar equipment, and completes accurate control of the radar.

A classification method for adjudication models in adversarial simulation training based on equipment characteristics includes the following steps: Step 1: The attacking force's command post sends attack command data to the attack equipment model; Step 2: The adjudication calculation center selects the necessary data from the attack command data sent by the attacking force's command post to the attack equipment model and the data of the target's own equipment; Step 3: Receive the equipment type data of the target being adjudicated and distinguish whether it is a cooperative adjudication; if it is a cooperative adjudication, proceed to Step 4; if it is a non-cooperative adjudication, proceed to Step 5; Step 4: In cooperative adjudication, receive the support characteristic information and maintenance characteristic information of the attacking and attacked forces and distinguish between information support adjudication and maintenance support adjudication; Step 5: In non-cooperative adjudication, receive the perception characteristics, soft damage characteristics, and hard damage characteristics of both parties and distinguish between perception adjudication, soft damage adjudication, and hard damage adjudication; Step 6: According to the adjudication type, distinguish whether to perform precise adjudication calculation on the target equipment or the target's own equipment.

Provided in the present application are a communication method, and a device and a storage medium. The communication method applied to a packet data gateway comprises: sending a first discovery request message carrying at least first capability-related information to discover a first network element, wherein the first capability-related information is capability-related information supported by the first network element; and selecting, on the basis of a received first discovery response message, the first network element matching the first capability-related information.

This invention discloses a method and apparatus for road damage and availability assessment based on vector data. The method includes: acquiring road vector data, including road surface vector data and damage patch vector data; processing the road vector data to obtain road damage assessment results and road availability assessment results. Utilizing a damage assessment model based on geometric-grayscale information changes and a minimum traffic distance search algorithm model based on custom step-size expansion, the method processes road network vector data, road damage patch vector data identified from optical remote sensing images before and after damage, and remote sensing image vector data to achieve road damage and availability assessment, providing reliable information support for use decisions regarding damaged roads.

This application provides a method, system, and medium for calling a software parameterized Web service based on reverse polling and local computation. The method includes: starting a local modeling node and registering it with the central service layer; obtaining the CAD software type and version information supported by the format; receiving parameterized modeling task requests; storing them in a task queue; and initializing the task status to be in the queue; extracting tasks to be processed at preset time intervals; parsing the modeling parameters of the tasks to be processed; calling the corresponding CAD software to perform parameterized modeling; generating model files and engineering drawing files; and uploading them to the file storage area specified by the central service layer; and updating the task status to result upload and completion. This application significantly reduces deployment and operating costs, avoids data security risks, eliminates the need to deploy CAD software on a cloud server, processes core modeling data on a local computer without uploading it to the cloud, and completely solves the data security risks of existing cloud deployment solutions.

The application relates to a high-precision prediction method for dynamic selection and graph structure adaptive fusion of multi-source weather forecasts for turning weather, relates to the technical field of meteorological information processing and intelligent prediction, and utilizes a graph convolution method to perform information transmission between modes, so that a nonlinear and adaptive fusion mechanism is realized. Through dynamic adjustment of edge weights and optimization of convolution weights, complementary information of different modes is fully utilized, and the prediction precision and local feature capturing capability are improved. Considering prediction uncertainty, historical performance and observation consistency, an interpretable confidence index is formed. For a low-confidence area, mode expansion or edge weight correction is automatically triggered, adaptive optimization of the prediction result is realized, and the robustness and reliability of the system are improved. Multi-source numerical mode output, real-time observation and turning weather characteristics are formed into a unified input system, comprehensive information support is provided for mode selection and fusion, data utilization efficiency is improved, and high-precision prediction can still be realized under complex weather conditions.

The application discloses an information configuration method, a communication node, a medium and a program product. The method is applied to a first communication node and includes: sending first configuration information to a second communication node; wherein the first configuration information is information used for configuring measurement of a synchronisation signal block triggered on demand. The method supports a terminal configured with carrier aggregation to perform a synchronisation signal block operation triggered on demand in a secondary cell, so that the network can dynamically adjust resource allocation of the secondary cell according to actual needs, reduce unnecessary energy consumption, and meet the needs of network energy saving in communication.

This system provides information to support the operation management of transportation or roads using weather forecasting technology based on weather radar observation data. [Solution] The information system of the embodiment stores management points within the operation management area and their location information, and acquires current precipitation (current precipitation corresponding to the current time obtained by analyzing weather radar observation data) corresponding to the location information of the management points. It generates an operation management support screen that includes an operation status area where an operation management diagram in which multiple management points are plotted within the operation management area or an operation management map in which multiple management points are plotted on a map including the operation management area based on location information is displayed, and a precipitation data area where the current precipitation for each management point is displayed in a list. It controls the display of the operation management support screen on a predetermined display device and controls the support display for each management point in the operation status area and the precipitation data area based on the current precipitation.

Some embodiments of the present application provide an intelligent set-top box and a network mode modification method. The method comprises: obtaining newly added service account information supporting the intelligent set-top box to realize network connection issued by a network server; if the newly added service account information is different from current service account information, controlling the intelligent set-top box to perform network connection according to the newly added service account information, so that the network mode of the intelligent set-top box is a newly added network mode, and multicast detection is performed on the intelligent set-top box, and a video playing mode is sent to a video platform through a probe mode. The method compares the newly added service account information with the current service account information, automatically selects a corresponding network mode for network connection according to a comparison result, so as to realize the function of automatically modifying the network mode of the intelligent set-top box; and after the network mode is modified, the video playing mode of the intelligent set-top box is obtained through multicast detection and sent to the video platform, and the video platform is adapted, so as to improve the success rate of video playing.

This invention discloses an intelligent head-mounted fire self-rescue respirator for GPS-denied environments and its fire rescue information support method. The respirator includes a mask body, a breathing-driven energy capture-sensing linkage mechanism, an edge processing module, a multi-parameter detection module, and an adaptive communication and positioning module. The impeller generator of the linkage mechanism connects to a power management unit and a breathing frequency sensing unit, achieving coupling of energy capture and breathing monitoring. The multi-parameter detection module includes a photoelectric sensor array and a smoke concentration sensor. The communication and positioning module integrates fusion calculation and automatic relay node switching units. The method includes breathing-vitality coupled data acquisition, threat gradient-driven dynamic positioning, topology adaptive networking, fire situation-driven path planning, and multimodal adaptive feedback. This invention achieves self-powered endurance and dynamic power consumption matching, forming a closed-loop rescue support through end-edge-cloud collaboration, improving the efficiency and safety of self-rescue guidance in GPS-denied fire environments.

A method for sending capability information is performed by a user equipment, and includes: sending capability information to a network device, wherein the capability information indicates maximum sensitivity impairment (MSD) information supported by the user equipment in multi-carrier transmission.

The embodiment of the present application discloses a VGA image resolution adaptation method, device, video converter, system, storage medium and program product. The method comprises the following steps: measuring a VGA video signal of a current video output device to obtain at least two measurement parameter values related to the resolution of the VGA video signal; determining a keyword used for searching a digital resolution information table and an error range used for verifying whether the searched resolution information meets a set requirement based on the at least two measurement parameter values, wherein the digital resolution information table stores various digital resolution information supported by a current digital display; and determining the closest resolution information from the digital resolution information table by using the keyword and the error range. The technical solution in the embodiment of the present application can improve the resolution adaptation accuracy of the VGA image.

This invention provides a method for evaluating enterprise value symbiosis reports based on an artificial intelligence big data model. The evaluation target is general enterprises with a unified social credit code starting with 91 and possessing complete operational data. The method combines internal historical transaction data, stakeholder supplementary data, and publicly available external big data. Through the deep integration of large language models, knowledge graphs, multi-agent collaboration, and machine learning algorithms, it effectively evaluates the quality of the symbiotic relationship and the total ecological value between the enterprise and its core stakeholders. This provides comprehensive information support for enterprises to optimize customer cooperation, supply chain management, employee motivation, environmental governance, and social responsibility fulfillment. Simultaneously, the system can automatically generate multiple versions of value symbiosis reports, output risk items and collaborative suggestions, effectively supporting enterprise strategic decision-making and sustainable development management. It also supports scenario simulation and natural language interaction, significantly improving the intelligence and automation level of enterprise value assessment.

The application is suitable for the field of automatic driving technology, and provides a driving video generation method based on a space-time factorization architecture and hybrid modulation, which comprises the following steps: obtaining a condition set corresponding to each time frame and each view angle, obtaining a diffusion input latent variable, obtaining a space-time fusion feature, and finally obtaining a future multi-view driving video sequence.The application has the advantages that image information, environmental structure information and vehicle control intention are uniformly included in the same generation framework, the expression ability of the model for a complex driving environment is improved, the controllability of the generation process is enhanced while reducing the computational complexity, the stability of the generation result in terms of spatial structure, time continuity and multi-view consistency is improved, and more reliable scene information support is provided for environment prediction, behavior planning, auxiliary decision-making and simulation training and other applications in the automatic driving system.

This technology relates to autonomous vehicle (AV) control systems tailored for critical points with information support from a cloud platform or other vehicles. A first system integrates an onboard unit (OBU) and communication modules to interact with a cloud platform, delivering time-sensitive instructions to vehicles at critical points. The OBUs execute these instructions for driving tasks. A second system enables an AV to operate through critical points with information from other vehicles, leveraging integrated information services for enhanced functionality and safety. A third system combines an OBU with a cloud platform, leveraging cloud services for enhanced functionality, such as computing. The technology adapts to diverse critical point scenarios, employing proactive incident prediction and rapid detection methods for optimized performance.

This application discloses a remote control system and method for a BeiDou / AIS dual-mode relay beacon. The system includes: a BeiDou antenna and RF front-end module for receiving and transmitting BeiDou signals; an AIS antenna and module for receiving distress signals in the AIS band; a data processing module for integrating and processing BeiDou and AIS data and controlling device status; a power management module for providing and managing power; and an indicator unit and interface unit for human-machine interaction and status indication. The method includes: triggering the device to enter working mode by water contact or button press; periodically reporting its own location and received AIS distress information through the BeiDou RDSS channel in reporting mode; and supporting remote querying and setting of working parameters via Bluetooth or BeiDou air link. This application solves the technical problems of insufficient communication reliability, inability to remotely manage, high power consumption, and short battery life of existing single-mode alarm devices, and realizes reliable dual-mode relaying and remote control of distress information.

The application provides a method and system for dividing tumor perfusion sub-regions based on dynamic ultrasound contrast data, the method comprising obtaining pre-processed dynamic ultrasound contrast images and pixelizing, so as to obtain time-intensity curves of each pixel point of tumor tissue and average time-intensity curves of normal tissue, obtain perfusion characteristic parameter ratios of each pixel point of tumor tissue, generate perfusion sub-regions of the tumor through clustering results of clustering of all pixel points in the interval, and map information thereof back to the original image. The application maximizes the use of dynamic image data through a non-invasive diagnostic method, comprehensively captures perfusion characteristics of the tumor from the pixel level, visualizes and quantifies tumor perfusion heterogeneity, improves the readability of the dynamic contrast video, helps to explore the correlation between tumor sub-regions and benignity and malignancy and construct a diagnostic model accordingly, improves the diagnostic accuracy of breast cancer, and provides more information support for personalized treatment of patients.

The present disclosure provides a management method of a near field communication controller, an NRF, a system and a storage medium, wherein the method comprises: the NRF receiving registration information sent by a DDNMF; wherein the registration information comprises first Prose application information supported by the DDNMF; the NRF receiving a DDNMF discovery request; wherein the information carried by the DDNMF discovery request comprises second Prose application information; and the NRF determining, according to the second Prose application information and the registration information, the first Prose application information matched with the second Prose application information and the corresponding target DDNMF information in a PLMN and / or other PLMN to which the NRF belongs and returning. The present disclosure can deploy multiple DDNMFs in one PLMN network, enhance the networking expansion capability of near field communication, and reduce the single point failure risk of the DDNMF.

Embodiments of the present application provide a disk access method and device, electronic equipment and storage medium, which obtain processor information of a host and input / output queue attribute information supported by a disk array controller; create an input / output command queue according to the processor information and the input / output queue attribute information; in response to an input / output command issued by an upper-layer application on the host side, generate a read / write command and determine an input / output command queue corresponding to the input / output command; and then send the read / write command to the disk array controller side through the input / output command queue corresponding to the input / output command to perform disk access, so that the command queue is created according to the performance attribute characteristics of different hard disk media, and the command queue is dynamically selected after the input / output command is issued by the upper-layer application, the overall response speed and data processing efficiency of the system are improved, and the waste of system resources and the negative impact of low-speed SATA disks on the overall system performance are reduced.

A railway tunnel mouth disaster monitoring system, comprising a support, a visual camera, a laser radar, a signal transceiver assembly, an edge algorithm box and a battery pack; the top of the support is provided with a first mounting platform and a second mounting platform; the support is further provided with an upper box body and a lower box body; the visual camera is installed on the first mounting platform; the laser radar is installed on the second mounting platform; the edge algorithm box and the signal transceiver assembly are installed in the upper box body; the battery pack is installed in the lower box body; a wire hole is formed in the bottom of the upper box body and the top of the lower box body. A multi-dimensional monitoring system is formed, the risk hidden danger of the railway flood control point is comprehensively perceived, the accuracy and reliability of disaster warning are improved through data complementation and fusion analysis, and more comprehensive and accurate information support is provided for flood control decision-making.

This application discloses a method and storage medium for entity selection in 3D CAD modeling. The method includes: obtaining a parsing context and generating a structured selector; parsing and compiling the selector to obtain a selection plan; executing the selection plan in the parsing context to generate a candidate entity set; filtering, scoring, and sorting the candidate entity set to obtain candidate results and their explanatory information; determining whether the candidate results meet the expected number and are unambiguous; if so, executing verification assertions to check geometric semantic attributes to obtain the final entity and its diagnostic information; otherwise, outputting corresponding information according to an ambiguity handling strategy; and finally encapsulating and outputting the final entity, diagnostic information, and explanatory information. The advantages of this application are that it can stably locate the same semantic entity even after model revision, ensure selection accuracy through ambiguity judgment and verification assertions, output interpretable information to support self-healing iteration in CAD modeling, and achieve automatic modeling closed loop.

This application provides a vehicle behavior recognition method, device, electronic device, vehicle, and medium. The method involves: determining basic behavioral units of the vehicle based on its basic characteristics. Each basic behavioral unit includes a basic behavior identifier and a behavior start time. The basic characteristics include at least one of obstacle features, vehicle features, traffic features, environmental features, and geographical location features. The basic behavioral units are matched with at least one complex behavior. If multiple sets of basic behavioral units of the vehicle successfully match a first complex behavior among the at least one complex behavior, the labels of the multiple sets of basic behavioral units are set as the label of the first complex behavior. This invention avoids the limitations of a single data source by using basic characteristics, covering multiple information dimensions and providing more comprehensive information support. Matching multiple sets of basic behavioral units with the first complex behavior achieves accurate recognition of complex behaviors, improving the accuracy of vehicle behavior recognition.

This invention provides a remote debugging method for JavaScript based on a distributed architecture, belonging to the field of industrial internet development and debugging technology. It includes creating a JavaScript object using object-oriented syntax based on the characteristics and functions of industrial IoT devices, and writing and modifying the JavaScript script for device debugging in an editing interface provided by a browser; associating the created JavaScript object with a specific device model to determine the device scope and operation objects targeted by the JavaScript script; after completing the JavaScript script editing and model association, the browser sends a JavaScript script debugging request to an offline / edge gateway, the request containing the JavaScript script content and device model information. This remote debugging solution supports multi-node collaboration, cross-network environments, and features high security and complete debugging information display, improving the debugging efficiency and quality of the industrial internet secondary development stage.

This invention relates to the field of autonomous driving technology and provides a driving video generation method based on a spatiotemporal factorization architecture and hybrid modulation. The method includes steps such as: obtaining a set of conditions corresponding to each time frame and each viewpoint, obtaining diffused input latent variables, and obtaining spatiotemporal fusion features, ultimately obtaining a future multi-view driving video sequence. The advantages of this application are that it unifies image information, environmental structure information, and vehicle control intent into a single generation framework, improving the model's ability to express complex driving environments; it enhances the controllability of the generation process while reducing computational complexity; and it improves the stability of the generated results in terms of spatial structure, temporal continuity, and multi-view consistency, providing more reliable scene information support for applications such as environmental prediction, behavior planning, decision support, and simulation training in autonomous driving systems.