174 results about "Information domain" patented technology

The invention provides a method and a system for detecting and defending cross-domain threats of a power system. The method comprises the following steps: after carrying out anomaly identification on operation monitoring data of a physical domain node in a target power grid region to obtain an anomaly identification result and carrying out denial of service attack identification according to network flow data of an information domain node to obtain an attack identification result, carrying out abnormal event association analysis on the anomaly identification result and the attack identification result to obtain an attack cross-domain anomaly identification result; according to key nodes and key risk propagation paths in a cross-domain attack chain generated based on a graph theory algorithm, generating an attack tracing atlas, and according to vulnerability information of the key nodes in the atlas, obtaining a corresponding power system topological graph and a corresponding communication network topological graph; and iteratively generating an active defense rule based on a game theory algorithm and a reinforcement learning algorithm, and issuing the active defense rule to the node. According to the method, the cross-domain attack risk is accurately perceived in real time and adaptive security defense is executed through cross-domain abnormal event association analysis, so that the comprehensiveness and reliability of security protection of the power system are improved.

The invention provides an unmanned aerial vehicle autonomous response control method and system and a medium, and belongs to the technical field of unmanned aerial vehicles, and the method comprises the steps: taking an unmanned aerial vehicle cluster in an unmanned aerial vehicle system as a plurality of agents according to the communication topological relation of the unmanned aerial vehicle system, and constructing a multi-agent system model under network attack according to the attack type; when the attack type is a physical domain attack type, constructing an elastic control protocol based on constraint indexes meeting energy consumption on the premise of ensuring safety; the influence of physical domain attack on flight control of the unmanned aerial vehicle system is counteracted through an elastic control protocol; when the attack type is an information domain attack type, constructing an adaptive elastic formation control protocol; and regulating and controlling the current state of each multi-agent through a self-adaptive elastic formation control protocol, and controlling the unmanned aerial vehicle system formation. According to the method, the influence of the attack is eliminated or weakened by changing the control protocol, so that the security control under the attack condition is realized.

The present application relates to the technical field of communications, and discloses a control information transmission method and apparatus, and a device. The control information transmission method in embodiments of the present application comprises: a first device receives first control information sent by a second device, wherein the first control information comprises a function indication domain and a public information domain, and the public information field is used for determining information carried by the function indication domain; and the first device determines, on the basis of the first control information, whether to execute a behavior corresponding to the function indication domain, wherein the first device is an Internet of Things (IoT) device.

The invention discloses a domain name detection method and device and electronic equipment. The method comprises the steps that multi-dimensional behavior data of a domain name to be detected are acquired, and the multi-dimensional behavior data at least comprise character information, Whois registration information, host access information, domain name resolution information and webpage display information of the domain name to be detected; determining a domain name association graph according to the multi-dimensional behavior data, and performing feature extraction on the domain name association graph to obtain a target feature vector corresponding to the domain name association graph; and processing the target feature vector by using a domain name detection model to obtain a domain name detection result, the domain name detection result being used for representing a probability value of the to-be-detected domain name belonging to the malicious domain name. According to the method and the device, the technical problems that malicious domain name detection accuracy is low and malicious domain name detection is easy to avoid due to the fact that malicious domain name detection methods in related technologies are difficult to cope with dynamically changing domain name generation algorithms and lack of comprehensive analysis of multi-dimensional behavior information are solved.

The invention discloses a fault analysis method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining first burying point information corresponding to an abnormal event if the vehicle detects that the abnormal event of a burying point is triggered, the first burying point information comprises at least one of a subsystem type corresponding to the abnormal event, an application module corresponding to the abnormal event, an abnormal type corresponding to the abnormal event, an information domain corresponding to the abnormal event, a fault identifier corresponding to the abnormal event, an abnormal name corresponding to the abnormal event and an abnormal position corresponding to the abnormal event; and sending the first burying point information to a server, so that the server determines the fault information corresponding to the abnormal event according to the first burying point information, thereby improving the vehicle fault problem determination rate.

The invention discloses a power grid frequency balance intelligent control system based on a distributed architecture, relates to the technical field of power grid control, and is used for solving the problems that the existing WLS / UKF and other methods are generally assumed to be good in synchronization, are insensitive to heteroscedasticity time delay and missing measurement, and are difficult to ensure robustness under real communication and equipment conditions. Through a through link, under the real clock misalignment, time delay jitter and packet loss conditions, measurement of a unified time axis and quality quantification are realized, and frequency estimation bias and uncertain transmission are significantly reduced. Reconstruction, filtering and triggering are penetrated with the same confidence degree, and abnormal measurement suppression and effective information utilization are improved; the fusion efficiency and timeliness of asynchronous arrival data are improved by utilizing graph prior and information domain incremental updating; and regional measurement abnormity and real power imbalance are discriminated through double-model causality, and error event reporting is reduced.

The invention relates to the technical field of unmanned aerial vehicle fault diagnosis, in particular to an unmanned aerial vehicle sensor fault diagnosis method based on weighted migration domain adaptive learning. Comprising the following steps: constructing a multi-scale neural network model which comprises three multi-scale neural network modules including a feature extractor, a domain discriminator and a classifier; the feature extractor extracts high-dimensional feature information of the data; the domain discriminator carries out confrontation training with the feature extractor in a model training process, so that the domain discriminator cannot distinguish whether data is from a source domain or a target domain; the classifier identifies and classifies the sample features output by the feature extractor; obtaining a source domain sample data set and a target domain sample data set; the constructed multi-scale neural network model is trained; and performing fault identification and diagnosis on the target domain data through the trained multi-scale neural network model. The method has the advantages that a better learning model is established for unmanned aerial vehicle fault diagnosis under the condition of lacking a target domain data set label, and fault diagnosis of a target domain data set is realized.

The present application provides a communication method and a communication apparatus. The communication method may include: determining a trigger frame, wherein the trigger frame comprises a first information domain, the first information domain comprises type information identifying the trigger frame, and the type of the trigger frame is used for identifying a different stage of wireless local area network sensing initiated by an access point device; and sending the trigger frame.

The invention discloses an anti-phishing webpage detection system and method. The anti-phishing webpage detection system comprises a webpage data capture module, a risk analysis module, a malicious webpage judgment module and a response decision module, relates to the technical field of anti-phishing webpage detection. According to the method, multi-dimensional data, including URL information, domain name information and webpage content information, of a webpage are extracted through the webpage data capturing module, a comprehensive original data basis is provided, and accurate support is provided for follow-up risk analysis; according to the method, comprehensive risk analysis is carried out by utilizing various webpage features including URL features, domain name features and content features, and potential phishing webpages can be effectively identified by calculating risk scores of the URL, the domain name and the webpage content; according to the method, the web pages are classified according to the comprehensive risk scores, the high-risk web pages are intercepted, the emergency response logs are generated, the low-risk web pages are continuously monitored, and safe browsing of a user is ensured.

The invention discloses a knowledge graph information domain quality evaluation method and system, and the method comprises the steps: collecting knowledge in a knowledge graph, and obtaining a data set; the data sets are classified according to 119 relations, and positive and negative example triples containing the same relation are taken out; a Li-Z-C model is established; inputting the positive and negative example triple containing the same relationship into the Li-Z-C model to obtain an embedded vector of each entity and relationship, and performing link prediction of the knowledge graph by using the embedded vector of each entity and relationship; and classifying a link prediction result of the knowledge graph by using a scoring function according to a relationship threshold to obtain a triple accuracy rate. The invention aims to quantify the quality of knowledge in the knowledge graph. And according to a quantitative evaluation result, the knowledge with relatively high confidence is reserved, and the knowledge with relatively low confidence is abandoned, so that the reliability of the knowledge in the knowledge graph is effectively ensured.

The invention relates to a multi-energy information physical system scheduling method, system and device with bidirectional aging perception, and belongs to the technical field of telecommunication. The method comprises the following steps: firstly, constructing a physical domain multi-energy system model and an information domain multi-energy bidirectional timeliness model based on an information physical fusion multi-energy system; secondly, constructing an information physical fusion multi-energy system scheduling model considering the multi-energy bidirectional timeliness to minimize the global scheduling cost of the system; bidirectional timeliness constraint is converted through a virtual queue, and decoupling of short-term decision and long-term constraint is achieved. On the basis, model learning at an offline stage and extrinsic matching optimization at an online stage are combined, an information interaction sequence and a consistency variable weight are dynamically adjusted, information domain interaction and physical domain regulation and control are coordinated, and through distributed iterative optimization, the calculation complexity is effectively reduced, and the calculation efficiency is improved. The convergence speed of the consistency variable and the system regulation and control efficiency and stability are improved, and the system scheduling cost is reduced.

The invention relates to a pre-sleep hypoglycemia risk probability assessment method based on local-global features, and belongs to the technical field of medical risk assessment. According to the method, a feature set is constructed through the multi-source information domain time sequence data and the target domain time sequence data of the patient to reflect the blood glucose level of the patient; searching a common subspace with the minimum distribution difference through the heterogeneous domain adaptive model to obtain a target function, and calculating the target function to obtain a shared representation space; mapping the feature set into a shared representation space, and obtaining a representation sample set of projection from the shared representation space; and evaluating the pre-sleep hypoglycemia risk probability of the characterization sample set through a transfer learning method based on local-global features. According to the method, the performance of an early warning system can be effectively improved, and better guarantee is provided for early warning of hypoglycemia at night before sleep of diabetic patients.

The invention discloses an unsupervised multi-source information domain self-adaption method and device for rotating machine migration diagnosis, a medium and a product, and relates to the field of mechanical fault diagnosis. The method comprises the following steps: acquiring multi-source information; multi-source information is fused and compressed into a single fusion sample; constructing an information fusion enhanced domain adaptive self-attention network transfer learning model; and inputting the single fusion sample into the information fusion enhanced domain adaptive self-attention network transfer learning model to obtain a transfer diagnosis result of the rotating machinery. According to the method, the problems of negative migration, information loss, high calculation burden and the like in a known multi-source information domain adaptive method can be solved.

The invention discloses an image generation and understanding unification method and system based on joint diffusion modeling, and relates to the technical field of image generation and understanding. According to the method, image generation and understanding tasks are unified through joint diffusion modeling, models do not need to be designed for the generation and understanding tasks respectively, and the efficiency is improved. Through improved DINOv2, Segmenter and DETR models, classification feature class cluster polymerizability, boundary detail segmentation and small target feature expression detection are enhanced. A random role allocation mechanism and a mask full attention mechanism flexibly process multi-domain information, domain invariant position coding assists cross-domain alignment, and the modeling precision is improved. Through optimization training, the model supports joint generation, controllable generation and image perception tasks at the same time, the performance is superior to that of an existing unified model, and even exceeds that of a proprietary model in tasks such as edge detection.

The invention discloses a multi-information-domain intelligent testing method for an intelligent oscilloscope, which comprises the following steps: firstly, collecting a signal to be tested in a real-time file, storing the signal into a DDR (Double Data Rate), then carrying out time-frequency analysis on collected data in the DDR, and identifying a time-frequency graph based on a trained YOLO neural network to obtain a center frequency and a Span parameter of a time-frequency event; the mixing frequency and the extraction multiplying power of the down converter are adjusted in a self-adaptive mode according to the parameters; frequency spectrums of collected signals are shifted to a base band through down-conversion, and meanwhile the sampling rate of the frequency spectrums is reduced so that higher frequency resolution can be achieved.

The invention discloses an electromechanical system heterogeneous domain generalization fault diagnosis method and device based on digital twinning, and belongs to the technical field of electric data processing. The method comprises the following steps: constructing a digital twin model to simulate entity characteristics of an electromechanical system, generating virtual fault data and structured interconnection knowledge distributed across working conditions through the digital twin model, and reconstructing a K-class information domain according to the virtual fault data and entity data of the electromechanical system; the information source is divided into a source domain and a target domain, the source domain represents visible operation conditions, and the target domain represents invisible operation conditions; performing structured interconnection knowledge embedding on the source domains to obtain a knowledge embedding data set of the K-class source domains; and constructing a heterogeneous domain generalization network, and training the heterogeneous domain generalization network by utilizing the knowledge embedding data set of the K-type source domain and the K-type target domain data set to obtain a fault diagnosis model so as to perform fault diagnosis on invisible operation condition information to be diagnosed. According to the invention, fault diagnosis can be carried out on the electromechanical system under the limitation of invisible operation conditions.

The invention discloses a Shack-Hartmann wavefront sensing method and system based on a cross-domain corresponding model. Comprising the following steps: acquiring Shack-Hartmann light spot diagrams and corresponding real wavefront phases under different wavefront distortion conditions, and constructing a sample data set; constructing a cross-domain corresponding model and a loss function thereof; training a cross-domain corresponding model by using the sample data set in combination with a loss function; and inputting a Shack-Hartmann light spot diagram of a biological tissue to be predicted into the trained model to obtain a reconstructed wavefront phase, and completing adaptive correction of the induced aberration of the biological tissue by using a conjugate phase of the reconstructed wavefront phase. According to the invention, the mapping relation between the intensity information domain of the micro-lens array light spots and the complex wavefront phase domain is constructed through the cross-domain corresponding model, the spatial bandwidth product of the Shack-Hartmann wavefront sensor is effectively expanded, the spatial resolution and the dynamic range are both considered, and high-precision robust wavefront sensing under the complex aberration condition is realized.

Disclosed in the present disclosure are an HARQ-ACK information transmission method and apparatus, and a communication device. The HARQ-ACK information transmission method comprises: when a one shot HARQ-ACK feedback mechanism is configured for user equipment (UE), issuing high-level signaling comprising a predetermined information domain; and on the basis of the number of transmissions N carried by the predetermined information domain, receiving same HARQ-ACK information for N times on N feedback occasions corresponding to the one shot HARQ-ACK feedback mechanism, wherein N is a positive integer.

The invention relates to the technical field of electric power Internet of Things security, in particular to an electric power Internet of Things penetration test method based on dynamic attack surface analysis, which comprises the following steps: analyzing the close degree and attack accessibility between equipment, and determining the state transition relationship of the attacked information domain equipment; utilizing a cellular automaton model to calculate the probability that each device in the information domain is affected; calculating the influence degree of the information domain in the specific attack scene; monitoring a physical domain state of the electric power Internet of Things system, and determining a state transition relationship when a physical domain node is attacked; calculating the probability that each physical domain node is affected by using a cellular automaton model, and calculating the influence degree of the physical domain in a specific attack scene; the traditional attack surface calculation method only considers the attack cost and the vulnerability availability, and the attack surface calculation method comprehensively considers the three parameters of the attack cost, the vulnerability availability and the overall influence degree of the attack on the system to calculate the attack surface, and is more in line with the goal of finding the security risk through the penetration test of the information physical system of the electric power Internet of Things.

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.

The present invention relates to the technical field of network communications, and discloses a DRA-based dynamic link management method, apparatus, device, medium and product, the method being executed by DRA, the method comprising: receiving a first network element registration request, the registration information of the first network element comprising 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 registration information of the first network element in a link library; and dynamically selecting and forwarding the service request to the second network element according to the first network element registration information. According to the invention, intelligent dynamic link management by the DRA can be realized, and the link management efficiency is improved.

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 embodiment of the invention discloses a model simulation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a target script file corresponding to a target block diagram assembly when the target block diagram assembly in a system simulation model meets a preset simulation condition; wherein the system simulation model comprises a first block diagram component and a target block diagram component, and the first block diagram component and the target block diagram component respectively correspond to different program languages; performing initialization processing on the target block diagram component based on the component attribute parameters and the initialization function; and determining interface output data of the target block diagram component based on the preposed first block diagram component and the single-step calculation function of the target block diagram component, and completing a component simulation processing process, so that a program language suitable for an information domain is embedded into a system simulation model constructed based on a physical domain program language for simulation calculation, and the simulation calculation efficiency is improved. The research and development cost of the block diagram model of information domain and physical domain fusion simulation is reduced, and the simulation effect and applicability of the block diagram model are improved.

The invention discloses a feedback information determination method and device, equipment and a storage medium, and relates to the field of communication. The method comprises the following steps: receiving first DCI (Downlink Control Information), wherein the first DCI comprises a first information domain and a target information domain; and determining the HARQ-ACK codebook to be fed back on the basis of the target information domain under the condition that the first information domain indicates to feed back the HARQ-ACK codebook and an unscheduled cell exists in the N cells. When the first DCI used for scheduling the scheduled cell in the N cells is received, the HARQ-ACK codebook to be fed back is determined through the target information domain corresponding to the first unscheduled cell in the unscheduled cells, so that the resource overhead of the first DCI when triggering the terminal equipment to feed back the HARQ-ACK codebook is reduced, and the scheduling efficiency of the first DCI is improved.