44 results about "Information domain" patented technology

The invention discloses a configuration determination method, a capability reporting method and a period configuration method, and relates to the field of communication. The method comprises: receiving a first DCI, the first DCI comprising a first information domain and a second information domain, the first information domain and the second information domain being used for determining a first period configuration; wherein the UE is configured with N sets of period configurations, the N sets of period configurations comprise the first period configuration, and N is an integer greater than 1. And the first period configuration is determined through the first information domain and the second information domain of the first DCI. Compared with a method that only one information domain is used for determining the first period configuration, the method has the advantages that due to the fact that the two information domains comprise more bits, determination of more sets of period configuration can be accurately and efficiently achieved, and higher flexibility is achieved when the period configuration is determined.

Existing multi-agent system are employed collaboratively, where each agent specialized in extracting entities, relations, or events from documents which is a more generalized collaborative framework without specific customizations. The disclosed method presents a collaborative multi-agent knowledge graph Retrieval-Augmented Generation (RAG) framework using a plurality of collaborative multi-agent LLMs for extracting information from a plurality of multimodal documents and constructing the unified knowledge graph to facilitate accurate and efficient query-based retrieval. A query generator agent generates a plurality of queries that aim to uncover all possible information present in the plurality of multimodal documents. A domain model is generated by a domain model generator agent based on the plurality of queries. The domain model populator agent populates the domain model with data extracted from the plurality of multimodal documents. A unified knowledge graph is constructed from ta plurality of populated domain models and organizes the extracted information for accurate retrieval.

The invention discloses a PPDU receiving method and device, a PPDU sending method and device, equipment and a storage medium, and belongs to the field of wireless communication. The method is executed by an electronic device, and the method comprises: receiving all or part of information domains of a first PPDU, the all or part of information domains comprising a first information domain, and the first information domain being used for indicating the type of a target device receiving the first PPDU. Optionally, the target device type comprises a WUR device and an AMP device.

The embodiments of the present disclosure relate to the technical field of communications, and provide a communication method and apparatus, and a device and a storage medium, which can be applied to an AP MLD. The method comprises: determining a first message frame, wherein the first message frame comprises a first information domain, and the first information domain is used for respectively indicating that an operation parameter update request corresponding to each first communication connection is approved or rejected, and is used for indicating the number of first communication connections, or, the first message frame comprises a second information domain and a third information domain, the second information domain is used for respectively indicating that an operation parameter update request corresponding to each first communication connection is approved or rejected, and the third information domain is used for indicating the number of first communication connections, each first communication connection being a communication connection for a non-access point multi-link device (Non-AP MLD) to request that a multi-link operation parameter update is performed; and sending the first message frame. The embodiments of the present disclosure can provide a method for an AP MLD to respectively respond to an operation parameter update request corresponding to one or more communication connections.

This invention relates to the field of smart city lighting facility operation and maintenance, and discloses a method and system for assessing the health status and predicting faults in street light networks. The method includes the following steps: First, energy domain and information domain data of street light nodes are collected. A dynamic topology map with isomorphic information and energy domains is constructed based on electrical waveform correlation and channel characteristic similarity. Node features are reconstructed using a graph attention network, and passive monitoring residuals are calculated. Based on the dual-threshold judgment results of the residuals, when a node falls into a suspected grayscale range, an active micro-perturbation excitation mechanism is automatically triggered, breaking the steady state by issuing a fine-tuning light command. Subsequently, the degree of anomaly in the circuit physical layer is quantified by comparing the integral deviation between the actual physical response and the ideal response based on the transfer function. Finally, the passive residuals and active deviations are dynamically fused to output a full lifecycle health index. This invention solves the problem of difficulty in identifying early, weak faults under complex noise conditions, improving the accuracy of predictive maintenance of street light networks.

This invention provides a self-inspection control method, device, and server for vehicle production and maintenance, relating to the technical field of the automotive industry. The method includes: when the power supply to an ordered vehicle is detected to be on, connecting an information domain controller to the vehicle's manufacturing execution system (MES) based on a key sent by a vehicle networking service platform; sending vehicle information provided by the MES to the information domain controller, enabling the information domain controller to perform a self-inspection process to prevent errors in the vehicle's electronic control system; after the self-inspection of the vehicle's electronic control system passes, switching the information domain controller to production mode and using an electronic inspection program and a set of external cameras to perform a production self-inspection process on the vehicle's electronic control components and external equipment, so that the ordered vehicle can be delivered after the vehicle's production self-inspection passes. This invention can significantly improve the accuracy and efficiency of fault detection during vehicle production and maintenance.

The invention discloses a remote sensing image unsupervised domain adaptive semantic segmentation method and system fusing frequency domain and spatial domain features, and aims to solve the problems of insufficient cross-domain feature alignment and limited segmentation precision caused by video domain information negligence and single domain discriminator scale in the prior art. According to the method, firstly, a source domain data set and a target domain data set are obtained, and then an unsupervised domain self-adaptive framework is built. A generator of the framework extracts multi-scale features through a visual backbone network, frequency domain and spatial domain information is compensated through a bidirectional recursion fusion module, then the features are processed by a content perception decoder containing four decoding stages, and each decoding stage is configured with a weight fusion module and an efficient content perception module to optimize feature representation; the discriminator distinguishes the attribution of the feature domain through four cascade stages, and each cascade stage is matched with a down-sampling unit and an efficient content awareness module to strengthen domain attribute feature extraction. Inputting a source domain training set and a target domain training set into a framework for training, back-propagating optimization parameters by using a multi-joint loss function, and storing an optimal model with the highest average intersection-union ratio in the training process; and finally, processing a target domain remote sensing image by using the model to realize semantic segmentation. According to the method, the feature distribution difference between the source domain and the target domain is reduced through deep fusion of the frequency domain and spatial domain features, and the problem of low segmentation precision caused by inter-domain difference of an existing unsupervised domain adaptive semantic segmentation method is effectively solved.

The embodiment of the invention provides a method and device for opening UE domain information of an application function. A method performed by a first network node in a communication network includes receiving a first request from a second network node, where the first request includes a user equipment identifier (UE ID) indicating a user equipment (UE), determining UE domain information according to the received UE ID, and sending a first response to the second network node. The first response includes the determined UE domain information. The UE domain information includes a core network type and a subscription domain.

The invention discloses a cross-domain system reliability modeling and evaluation method based on an OODA ring theory, which is oriented to a cross-domain equipment system formed by information domain and physical domain collaboration, constructs an information domain-physical domain collaboration network model, and establishes a mapping relation model among different types of nodes. On the basis, the number of OODA rings capable of being formed in the system is counted, and the operation capacity of the cross-domain system is quantitatively represented. Furthermore, the mapping relation model is dynamically updated under the conditions of node faults, random strike and the combined action of the node faults and the random strike, and the change characteristics of the system reliability under different failure conditions are evaluated. And meanwhile, under the condition that a failure is caused by a node fault or random strike, a dynamic reconstruction mechanism of an information domain and a physical domain is introduced, the system structure is dynamically reconstructed, and the system reliability under the dynamic reconstruction mechanism is evaluated based on the change of the number of OODA rings before and after reconstruction.

This application provides a method and apparatus, a device, and a storage medium for data processing and LLM training. The method includes: extracting raw data representing world knowledge from an information domain comprising websites, the raw data comprising a set of data elements, and each data element in the set of data elements comprising at least one of: a text portion; an image portion; an audio portion; or a video portion; using the each data element in the set of data elements as input, instructing a first LLM to infer a seed persona corresponding to the each data element; and storing the seed persona into a persona set comprising at least one persona.

The invention provides an automatic relay configuration method based on a scoring mechanism and capable of being customized in multiple dimensions. The method comprises the following steps: classifying all nodes under a gateway according to information domains; the node is reset, the gateway resets the node role, and the reset role is a common node; searching nodes in a node gateway search area, collecting the nodes into an upper computer list, and simultaneously collecting the signal-to-noise ratio and the received signal strength indication of the nodes by an instruction; configuring a node role; a pre-relay scoring mechanism is established; and calculating scores. The problem of network coverage blind area or resource redundancy caused by the fact that a traditional PLC depends on fixed distance / experience to deploy a repeater is solved, a fixed routing binding mode is broken through, real-time path updating in dynamic environments such as electromagnetic interference and impedance mismatch is achieved, a flexible framework capable of configuring scoring weights and the number of relays is provided, and the real-time route updating is achieved. And different transformer area scales and time delay requirements are adapted, and the manual maintenance cost is reduced.

The invention discloses a multi-domain parameter adaptive adjustment method for a digital oscilloscope matched with signal frequency characteristics, and the method comprises the steps: firstly sampling an unknown input signal through a high-speed data collection system, obtaining a digital parallel sampling signal, and transmitting the digital parallel sampling signal to a multi-information-domain data processing module in an FPGA (Field Programmable Gate Array); in the multi-information-domain data processing module, time-frequency graph data acquisition of unknown signals is completed based on accurate control, fast Fourier transform and data delay feedback of time-domain data required by each frame of frequency spectrum, and the time-frequency graph data is transmitted to an industrial personal computer through a high-speed interface after being acquired. The method comprises the following steps: performing data analysis, obtaining a maximum value of spectrum energy and calculating an effective frequency index value to obtain a maximum effective frequency index value and a minimum effective frequency index value, then obtaining a multi-domain analysis parameter center frequency and an analysis bandwidth through calculation, and setting, feeding back and adjusting a multi-domain analysis processing module on a user interface of a digital oscilloscope.

The invention discloses an Internet of Things terminal network security early warning platform based on artificial intelligence, which performs cross-domain feature alignment on information domain and physical domain data analyzed at a bottom layer, and innovatively converts the information domain and physical domain data into a time sequence texture grey-scale map, thereby utilizing the characteristics of a convolutional neural network on a spatial receptive field, and improving the security of the Internet of Things terminal network security early warning platform. And deeply extracting potential semantic association and time sequence evolution laws among the heterogeneous data streams. Finally, through full-connection classification and real-time estimation of threat probability, a full-link early warning closed loop from multi-dimensional feature fusion, deep feature mining to defense instruction automatic generation is realized, and the security defense efficiency and response speed of the industrial-grade Internet of Things in the face of advanced persistent threats are greatly improved.

The invention relates to a communication method and equipment. The method comprises: a first device sending first information, the first information comprising a first model identifier, the first model identifier comprising a first information domain and / or a second information domain; in the embodiment of the invention, the model identifier can be used more flexibly through the first information domain and / or the second information domain.

The application discloses an automatic wharf network attack detection method based on an attack chain and a three-domain white baseline, and relates to the technical field of network security. The method comprises the following steps: constructing a cross-domain asset-business association graph; generating an attack chain candidate set based on a vulnerability exploitation link and extracting black features of information domains, control domains and physical domains through attack simulation; establishing a three-domain white baseline model and cross-domain consistency rules; performing black-white fusion detection on real-time data to obtain a comprehensive abnormal score; distinguishing attack anomalies from functional failures through cross-domain causal order and abnormal propagation range; realizing abnormal device positioning based on graph propagation inversion; and generating a collaborative response action according to a risk level, a device security level and a business stage. The application can improve the detection precision of high-concealment attacks in the complex network scene of an automated container wharf, reduce false positives and false negatives, realize rapid positioning of abnormal devices and a collaborative defense closed loop.

The embodiment of the invention provides a delay state reporting method, communication equipment, a communication system, a storage medium and a program product. The method is executed by a terminal, and the method comprises the steps that first information is determined, the first information is used for indicating a statistical rule of a DSR, and the statistical rule is used for the terminal to determine the data volume reported by a plurality of information domains of the DSR; wherein for a logical channel group (LCG), the DSR comprises a plurality of information domains, and time intervals associated with different information domains are different. According to the technical scheme provided by the embodiment of the invention, the terminal can perform statistics according to different rules when performing statistics on the data volume reported by each information domain of the DSR, so that the statistical mode of the data volume reported by the DSR is more flexible.

The invention belongs to the technical field of train communication network security, and relates to an Ethernet intrusion detection method and system, and the method comprises the steps: respectively obtaining physical domain data and information domain data from a train communication network, carrying out the normalization processing of a primary side network flow through employing a Z value standardization method, and obtaining a time domain feature; the basic flow, the communication protocol, the connection behavior and the like are converted into frequency domain signals through short-time Fourier transform, and frequency domain features are obtained; calculating the weight of each time domain feature and the weight of each frequency domain feature by using a grey correlation analysis method; respectively modeling by adopting a structured state space sequence model and a convolutional neural network to obtain two abstract feature representations; fusing the two abstract feature representations, and weighting the weight of each feature through an attention mechanism to obtain a fused feature representation; and analyzing the two features by using a target intrusion detection model, and identifying different intrusion attack events. According to the invention, the integrity of intrusion detection and the accuracy of detection are improved.

A DRA-based dynamic link management method and apparatus, a device, a medium, and a product. The method is executed by a DRA. The method comprises: receiving a first network element registration request, wherein registration information of a first network element comprises at least one of IP information, domain name information, load information, a network element type, an interface attribute, and a link information requirement; establishing a Diameter interface link on the basis of the registration information of the first network element, and storing the corresponding registration information of the first network element in a link library; and on the basis of the registration information of the first network element, making dynamic selection and forwarding a service request to a second network element. The present application can implement DRA-based intelligent dynamic link management, thereby improving link management efficiency.

The application discloses an automatic wharf network attack detection method based on an attack chain and a three-domain white baseline, and relates to the technical field of network security. The method comprises the following steps: constructing a cross-domain asset-business association graph; generating an attack chain candidate set based on a vulnerability exploitation link and extracting black features of information domains, control domains and physical domains through attack simulation; establishing a three-domain white baseline model and cross-domain consistency rules; performing black-white fusion detection on real-time data to obtain a comprehensive abnormal score; distinguishing attack anomalies from functional failures through cross-domain causal order and abnormal propagation range; realizing abnormal device positioning based on graph propagation inversion; and generating a collaborative response action according to a risk level, a device security level and a business stage. The application can improve the detection precision of high-concealment attacks in the complex network scene of an automated container wharf, reduce false positives and false negatives, realize rapid positioning of abnormal devices and a collaborative defense closed loop.

The present application relates to the technical field of vehicle-mounted electronic control unit software development and testing, and discloses a kind of quick offline calibration method and system of vehicle-mounted s19 file, the method is first obtained and related file information is supplemented variable complete information and forms variable set;Variable set is sorted and preprocessed using the monotone increasing characteristics of S19 file address;First variable is located in the Record rewrite position of S19 file using dichotomy, and Merge table is established;Subsequent variables are positioned and updated Merge table according to the corresponding dichotomy boundary mode selected according to the Block index;For CURVE, AXIS, VAL_BLK and MAP type calibration quantity respectively, complete information domain rewriting according to address continuous rule or matrix to one-dimensional sequence rule;Loop processing all variables to obtain the Merge table of Record position monotone increasing, and then merge the rewriting information to the original S19 file by dichotomy, and output the calibration file after updating checksum.The present application reduces address matching error, significantly improves the efficiency and stability of vehicle-mounted S19 file offline calibration.

Provided in the present application are a wireless communication method, device, station and access point, the method comprising: a station receiving a trigger frame sent by an access point, the trigger frame comprising a distributed bandwidth (DBW) indication, the DBW indication being used for indicating a DBW used for transmitting a physical layer protocol data unit (PPDU) based on a distributed tone resource unit (DRU), and the DBW indication being used for indicating a DBW used for transmitting the PPDU based on the DRU; the DBW indication is indicated by a target information domain in the trigger frame; sending the PPDU according to the trigger frame; wherein the target information domain comprises a public information domain and a special user information domain; or the target information domain comprises a public information domain and a user information domain; or the target information domain comprises a special user information domain and a user information domain; or the target information domain comprises a user information domain.

The application provides a nuclear power plant main control room integrated picture display method and system based on a hierarchical concept, and belongs to the picture display field.The method comprises the following steps: collecting process flow information, pipeline equipment layout information and function layout information, forming a process flow picture, a pipeline equipment layout diagram and a function layout diagram; dividing the process flow picture into seven canvases according to an upstream and downstream relationship of the process flow, and combining the pipeline equipment layout diagram and the function layout diagram; introducing variable information granularity according to a macro-to-micro perspective change, and sequentially presenting four levels from top to bottom of the seven divided canvases; dividing the information of the four levels into multiple groups from multiple dimensions to form selectable information domains; and realizing navigation and display of the information domains, levels and canvases based on a mouse input instruction.The application breaks the traditional window switching navigation mode through a hierarchical progressive information presentation mode based on the design concept of the hierarchical concept, and improves the safety, reliability and comfort of nuclear power operation.

This application relates to a congestion control method, a congestion control system, an apparatus, a device, and a program product. The method includes: receiving event information of at least one type of transmission event sent by a receiving end; generating a pending event and an event identifier for the pending event based on the event information of the at least one type of transmission event; searching for a storage unit corresponding to the event identifier from a cache pool; the storage unit includes the event identifier and event information of each type of transmission event, and the storage unit is configured with information fields of multiple data types, each data type information field being used to store event information of different types of transmission events; and performing congestion control on the data transmission process between the sending end and the receiving end based on the storage unit and the pending event. Using this method, the storage unit occupied by the event information of each type of transmission event is relatively small, thereby saving storage overhead and congestion control processing overhead.

The application relates to the technical field of network communication, and discloses a DRA-based dynamic link management method, device, equipment, medium and product. The method is executed by the DRA, and the method comprises the following steps: receiving a first network element registration request, wherein the registration information of the first network element comprises at least one of IP information, domain name information, load information, network element type, interface attribute and link information requirement; establishing a Diameter interface link according to the registration information of the first network element, and storing the corresponding first network element registration information in a link library; and dynamically selecting and forwarding a service request to a second network element according to the first network element registration information. The application can realize intelligent dynamic link management by the DRA, and improve the link management efficiency.

The application discloses a power grid frequency balance intelligent control system based on a distributed architecture and relates to the technical field of power grid control, and is used for solving the problem that the existing WLS / UKF method generally assumes good synchronization, is not sensitive to heteroscedastic time delay and missing measurement, and is difficult to ensure robustness under real communication and equipment conditions; through a through link, under the conditions of real clock misalignment, time delay jitter and packet loss, measurement unified time axis and quality quantization are realized, frequency estimation bias and uncertain transmission are significantly reduced; the same confidence is used to penetrate reconstruction, filtering and triggering, abnormal measurement suppression and effective information utilization are improved; the fusion efficiency and timeliness of asynchronous arriving data are improved by using graph prior and information domain incremental updating; measurement abnormality and real power imbalance are distinguished by double model causal discrimination, and false event reporting is reduced.

Provided in the present application are a wireless communication method and apparatus, and a station and an access point. The method comprises: a station receiving a trigger frame sent by an access point, wherein the trigger frame comprises a distributed bandwidth (DBW) indication, the DBW indication being used for indicating a DBW used for transmitting a physical-layer protocol data unit (PPDU) on the basis of a distributed tone resource unit (DRU), and the DBW indication being indicated by a target information field in the trigger frame; sending the PPDU on the basis of the trigger frame, wherein the target information field comprises a common information field and a special user information field, or the target information field comprises a common information field and a user information field, or the target information field comprises the special user information field and the user information field, or the target information field comprises the user information field.

The invention discloses an urban water supply system toughness critical threshold identification method, system and equipment, and the method comprises the steps: carrying out the modeling of a physical domain and an information domain of a water supply system based on a graph theory method, building a dual-domain coupling mechanism according to a control theory principle, and constructing an information-physical interaction coupling model; on the basis of the coupling model, an information network fault scene is introduced to analyze the influence of an information network fault on the running state of the urban water supply network; and further based on performance-time curve characteristics, a service performance attenuation rate is established as a toughness critical threshold evaluation index, and a toughness critical threshold of the system is identified and output through quantitative calculation. The method is high in systematicness and clear in process, a direct basis is provided for accurate reinforcement and toughness improvement of the system, the constructed coupling model effectively improves the accuracy and practicability of system modeling, dynamic behaviors of the system in the whole process from function attenuation to recovery can be completely captured, toughness research of a multi-layer key infrastructure network can be supported, and the method is suitable for popularization and application. The method has important theoretical significance and engineering application value.

The application belongs to the technical field of network security simulation, and discloses a network target modeling method of multi-domain fusion, which comprises the following steps: S1, constructing a physical domain model based on collected device parameters and a communication link model; S2, constructing an information domain model based on an operating system model, and establishing an association with the physical domain model to simulate each key aspect of an information system in a network; S3, constructing a social domain model through a role permission matrix and an organizational structure simulation; S4, constructing a vulnerability domain model according to a CWE standard systematized classification of vulnerability types, and outputting a multi-dimensional associated knowledge graph to reveal a vulnerability evolution path; and S5, automatically checking the dependency relationship and compatibility between models based on predefined metadata. The application efficiently meets the calculation deduction requirements of network attack and defense tactics and strategies, solves the problems of large resource consumption and slow deduction speed of traditional simulation technology, and meanwhile, the introduction of the social domain model and the vulnerability domain model improves the overall fidelity.

This application discloses an abnormal power data management method and system, comprising: collecting power data, generating a spatial location map, identifying abnormal data based on the power data, identifying the cause of the abnormality based on the spatial location map and the abnormal data, and repairing the abnormal data; using a monitor to monitor entropy increase in multiple domains, the multiple domains including a physical domain, an information domain, and a business domain, wherein the physical domain is the physical equipment of the power data center; constructing a cross-domain entropy flow model based on the monitoring data of the physical domain, information domain, and business domain; predicting the entropy increase trend based on the monitoring data of the physical domain, information domain, and business domain; adjusting the entropy increase based on the cross-domain entropy flow model; establishing a situational model based on the power system status; timely detection and location of anomalies through real-time data collection and analysis; accurately identifying the root cause and propagation path of the anomaly through three-dimensional mapping and root cause decoupling analysis; and improving the repair efficiency of operation and maintenance personnel through dynamic guidance functions.

The embodiment of the invention relates to the technical field of communication, and provides a communication method, equipment and a storage medium. The method is applied to an AP, and comprises the steps that the AP determines a first wireless frame, the first wireless frame comprises a first information domain, and the first information domain is used for indicating a modulation mode adopted by each uplink SS when an STA sends an uplink PPDU through unequal modulation; and the AP sends the first wireless frame. According to the embodiment of the invention, an indication mode of the modulation mode adopted by each uplink SS when the STA sends the uplink PPDU through unequal modulation can be provided.