636 results about "Information networks" patented technology

The invention discloses an entity digitization and link framework algorithm based on a heterogeneous graph attention network, and the algorithm comprises the following steps: S1, heterogeneous information network construction: carrying out the unified modeling of all multi-source heterogeneous data into a heterogeneous information network containing various types of nodes and various types of edges, s2, meta-path definition and guidance: defining "meta-paths" connecting different types of nodes to capture a complex deep semantic relationship, S3, heterogeneous graph attention network embedding: adopting an attention mechanism to enable a model to automatically learn importance of different neighbor nodes and different meta-paths, generating a final embedding vector of each entity, and establishing a heterogeneous graph attention network model; according to the method, the information fidelity is higher, modeling is directly conducted on different types of nodes and relations on a heterogeneous graph, more abundant and heterogeneous semantic information in data can be reserved compared with a multi-view method, and the end-to-end learning ability is higher; and the complexity of manually designing a fusion strategy is reduced.

The embodiment of the invention provides a network security validity verification and quantitative evaluation method and system, and relates to the technical field of network security, and the method comprises the steps: obtaining global dynamic threat intelligence and a multi-dimensional global network security risk data source, and carrying out the preprocessing; constructing a global feature engineering system based on heterogeneous information network atlas and sequence analysis, forming a feature vector matrix, and mapping the feature vector matrix into an index state vector; inputting the feature vector matrix, the index state vector and the external environment information vector into an evaluation model, dynamically adjusting the weight of the feature vector matrix of each dimension, and outputting the validity score of each safety control point; based on the score, calculating a safety effectiveness index based on a time decay factor; identifying a weak link based on the index, and performing simulation verification to obtain a simulation attack actual measurement result; and an error vector is constructed based on the result and the validity score, and parameter adjustment and weight calibration are carried out. According to the scheme, the accuracy and the real-time performance of network security evaluation are improved.

The disclosure is directed to various ways of improving the functioning of computer systems, information networks, data stores, search engine systems and methods, and other advantages. Among other things, provided herein are methods, systems, components, processes, modules, blocks, circuits, sub-systems, articles, and other elements (collectively referred to in some cases as the “platform” or the “system”) that collectively enable, in one or more datastores (e.g., where each datastore may include one or more databases) and systems, the creation, development, maintenance, and use of a set of custom objects (and core objects) for use in a wide range of activities, including sales activities, marketing activities, service activities, content development activities, and others, as well as improved methods and systems for sales, marketing and services that make use of such entity resolution systems and methods as well as custom objects.

The invention relates to a computer data processing technology, in particular to a real-time pipeline safety early warning method and system. The method comprises the steps of performing computer data processing according to pipeline topology information, dividing risk units and generating a risk unit session configuration structure; performing automatic feature extraction to generate a real-time risk feature vector; through machine learning fusion modeling, real-time features and historical baseline features are fused, and a dual-time-scale fusion feature vector is constructed; a preset intelligent model is used for reasoning and event judgment, a structured event flow account and resource adjustment parameters are generated, periodic self-optimization of sampling configuration, a model threshold value and an early warning strategy is driven, and therefore closed-loop intelligent monitoring and early warning of the state of the pipeline auxiliary equipment are achieved. According to the method, the early warning accuracy can be effectively improved, false alarm and missing alarm can be remarkably reduced, the adaptive capacity of the system is enhanced through a closed-loop learning mechanism, and an efficient solution is provided for application of the next generation of information network industry in related fields.

The invention discloses an infrared unmanned aerial vehicle target detection method based on multi-scale self-enhancement cross-layer fusion, and aims to solve the problem of difficulty in small target detection of an infrared unmanned aerial vehicle under a complex background. According to the method, a novel target detection network is constructed, and a lossless down-sampling module and a cascade asymmetric convolution module based on spatial reconstruction are designed in a backbone network of the novel target detection network, so that multi-scale context features are extracted while information loss is reduced. The neck network adopts an enhanced pyramid structure, deep semantics and shallow details are integrated through a cross-layer feature fusion module, and a multi-scale adaptive channel attention module is introduced to dynamically re-calibrate fusion features so as to focus key information. The network adopts four detection heads to output multi-scale prediction, and uses an EIoU loss function to optimize small target positioning precision. The method can effectively improve the feature extraction and detection capability of'weak, small and dark 'infrared unmanned aerial vehicle targets, and has higher robustness and accuracy in a complex scene.

The invention relates to the technical field of wireless communication protection, in particular to a wireless communication self-adaptive safety protection method and system based on edge computing. Capturing physical layer channel state information when the Internet of Things terminal equipment accesses the network gateway for the first time, a functional area semantic identifier of the network gateway and a current timestamp, and generating an anonymous session voucher; tracking operation track data of the anonymous session voucher, and constructing a track operation fragment; obtaining a privacy risk assessment value based on trajectory uniqueness, spatial information sensitivity and behavior association analysis of the trajectory operation fragment; when the privacy risk assessment value exceeds a preset risk threshold value, triggering a track link breaking mechanism; obtaining privacy enhanced trajectory data based on privacy protection processing and a trajectory broken link mechanism; training a virtual data generation model through the privacy enhancement trajectory data; and after the virtual data generation model converges, driving a virtual data generator in the virtual data generation model to generate a virtual operation and maintenance data stream so as to realize self-adaptive protection of wireless communication data.

A method of operating a network device is provided. The method can include detecting a first host device that is communicatively coupled to a first interface or port of the network device, identifying a first host profile identifier corresponding to a first class of devices to which the first host device belongs, and advertising, to one or more additional network devices, network reachability or routing information for the first host device. The network reachability information can include at least the first host profile identifier associated with the first host device and a first sequence number. The first sequence number may indicate a number of mobility or roaming events taken by the first host device.

The invention provides a dynamic reconstruction optimization method and system for communication information network topology, and relates to the technical field of communication networks, and the method comprises the steps: firstly obtaining node operation dynamic information, link transmission real-time information and network service demand dynamic data of a communication information network; generating a network topology elastic association body containing a plurality of association rules and logics based on the two; inputting the service demand data into a network topology elastic association body to generate a network topology dynamic demand adaptation factor; generating a network topology reconstruction path self-adaptive sequence containing a specific operation instruction and a time sequence based on the network topology dynamic demand adaptation factor and the network topology elastic correlation body; and adjusting a node connection mode and link transmission configuration in a linkage manner according to a network topology reconstruction path self-adaptive sequence, and synchronously updating an association rule to complete dynamic reconstruction optimization. According to the invention, the network stability, reliability and resource utilization rate are improved.

The invention discloses a vehicle-mounted system safety detection and risk assessment system, which belongs to the technical field of vehicle-mounted network safety, and comprises a vehicle-mounted terminal environment sensing module used for collecting multi-level environment information of a vehicle-mounted system, including system layer information, network layer information and safety layer information; the vehicle-mounted configuration file and communication white list detection module is connected to the vehicle-mounted terminal environment sensing module and is used for establishing and maintaining a safety white list library according to the collected system information, comparing the current configuration file, the dynamic library, the port and the certificate state of the system with the safety white list library through periodic scanning, and sending the comparison result to the vehicle-mounted terminal environment sensing module; detecting configuration abnormity and file tampering events; a vehicle-mounted process and control task analysis module; a communication abnormity detection and code identification module; and a safety evaluation and risk feedback module. According to the invention, all-around monitoring and intelligent analysis of vehicle-mounted system configuration, process behaviors and network communication can be realized, and hidden backdoors, abnormal processes and malicious communication can be effectively identified.

The invention provides a dam safety monitoring data analysis method and system based on a multi-modal knowledge graph and a large language model, and belongs to the technical field of calculation models. The method comprises the following steps: collecting multi-modal data of dam monitoring, and preprocessing the multi-modal data; constructing a dam safety analysis knowledge graph by adopting a water conservancy object multi-modal knowledge graph construction mode; an intelligent positioning function is used for finding an associated object for the monitored abnormal signals, information of the associated object is obtained, and a dam analysis model is used for association analysis; generating an abnormal associated sub-graph; and forming a multi-dimensional analysis report conclusion by using a pre-trained water conservancy professional knowledge large language model in combination with cue words and user questions. Multi-aspect information generated in the dam safety management process is integrated by utilizing the knowledge graph to form a comprehensive information network, efficient query and reasoning are realized by virtue of a graph computing technology, and a monitoring analysis result for explaining the dam is clearly, intuitively, accurately and comprehensively presented.

The invention belongs to the field of aerodynamic analysis of unmanned aerial vehicles, and particularly relates to a method and system for predicting aerodynamic force of a rotor wing based on a physical information neural network, and the method comprises the following steps: determining key parameter variables and variation ranges which affect the aerodynamic performance of the rotor wing; then, a Latin hypercube sampling method is adopted, and a sampling space is generated in the parametric variable interval; obtaining flow field data through CFD simulation; constructing and training a physical information neural network reduced-order model, and constructing a physical information neural network model by taking the sample point coordinate information of the sampling space as input data and taking the corresponding flow field aerodynamic force data as a training target; in the training process of the model, network parameters are optimized through a composite loss function; by minimizing the composite loss function, training to obtain a reduced-order model of the predicted flow field; and solving the aerodynamic force based on the reduced-order model. According to the method, a physical information network is adopted, the precision of a CFD calculation method is reserved, and the efficiency of aerodynamic force estimation under parameter change is improved.

The invention provides a gamma-ray energy spectrum analysis method and system based on a deep learning physical information network, and relates to the technical field of gamma-ray energy spectrum analysis. The method comprises the following steps: acquiring sample data containing an energy spectrum and corresponding analysis data, and preprocessing the sample data; constructing an energy spectrum analysis model based on a multi-scale convolutional neural network, an attention mechanism module and a physical information neural model; training an energy spectrum analysis model by using the preprocessed sample data to generate a target energy spectrum analysis model; and inputting the to-be-analyzed energy spectrum into the target energy spectrum analysis model, and outputting an analysis result. By constructing a multi-module collaborative energy spectrum analysis model, accurate decomposition of energy spectrum multi-scale features, efficient interaction of cross-feature information and collaborative prediction of multiple parameters are achieved, the problems that spectrum peak overlapping is difficult to separate, weak peaks are difficult to recognize, and the anti-jamming capability is weak in a traditional method are solved, and the precision, efficiency and automation degree of energy spectrum analysis are improved.

Disclosed are techniques for sensing. In an aspect, a network entity may transmit configuration information to a user equipment target (UE-T) to provide sensing assistance information indicative of one or more ground truth parameters of the UE-T. The network entity may receive sensing measurement information of the UE-T for at least a first sensing session, wherein the received sensing measurement information of the UE-T is obtained by one or more sensing nodes separate from the UE-T. The network entity may receive at least some of the sensing assistance information from the UE-T, wherein the received sensing assistance information is indicative of the one or more ground truth parameters of the UE-T associated with the first sensing session.

Systems and methods for nested discontinuous reception (DRX) cycles in a wireless communication system are provided. A UE may be a low power device such as an energy harvesting UE. Based on an energy harvesting capability of the UE, the UE may communicate information to a network unit. Based on the information from the UE, the network unit may configure the UE for nested DRX cycles. The nested DRX configuration may include outer DRX cycle timing parameters, and inner DRX cycle timing parameters, such that when the outer DRX cycle is in the “on” duration, the inner DRX cycle alternates between “on” and “off” durations according to the inner DRX cycle timing.

A network (200), a client (210), a server (220), a method, a computer program and a computer program product for providing and receiving information about a first resource hosted at the server is disclosed. The network comprises the client and the server. The network receives at the server from the client, a first CoAP message comprising a confirmable request relating to the first resource, creates a second resource at the server, wherein the second resource indicates a status of the confirmable request, sends to the client from the server, a second CoAP message comprising a response including a path of the second resource, sends to the server from the client, the first CoAP message and receives from the server at the client, the second CoAP message.

Aspects of the present disclosure provide methods, apparatuses, devices and systems for facilitating energy savings in a wireless network system, such as a user equipment (UE) centric –cell free (UC-CF) wireless system. By virtue of aspects of the present disclosure, network devices may be dynamically turned on / off so that energy usage may be effectively reduced at both the network side and the UE side without sacrificing performance. A network device may transmit information of a first set of cooperation network devices to the UE. The network device may determine at least one target network side device which belongs to the first set of cooperation network side devices. The network device may transmit, to the UE, an indication of the at least one target network device via lower layer signaling. The UE may establish a first connection with the at least one target network device.

The invention belongs to the field of information network security. The invention specifically discloses an agent-based logic vulnerability detection method, system and device, and a medium. The method comprises the following steps: capturing service system request response data through network traffic, identifying an HTTP protocol through a port and protocol features, filtering non-HTTP request data, extracting and analyzing the request data, standardizing extracted parameters, continuously collecting and analyzing through an API analysis agent, improving the semantic analysis capability of a large model, perfecting a logic relation graph, and improving the semantic analysis efficiency of the large model. A complete vulnerability life cycle data link is constructed through a vulnerability analysis agent, the system logic vulnerability mining efficiency and coverage are improved, and automatic logic vulnerability alarm and disposal can be realized and the risk disposal real-time performance is improved by accessing the agent to a network security protection product, an alarm analysis platform and other systems.

The invention discloses an inter-host process migration method and system, computer equipment and a medium. The inter-host process migration method comprises the steps of obtaining a memory snapshot, file descriptor information, network state information and register state information of a target process in a source host; determining memory mapping information based on the memory snapshot; sending the memory mapping information, the file descriptor information, the network state information and the register state information to a target host; and performing target process reconstruction in the target host by utilizing the memory mapping information, the file descriptor information, the network state information and the register state information. According to the scheme provided by the invention, the memory copying and recovery of the running process can be realized, the resource continuity and the migration reliability are ensured by combining the file descriptor information, the network state information and the register state information, and the method is suitable for dynamic load balancing and fault recovery scenes in cloud computing and distributed systems.

The invention relates to a low-illumination image enhancement method based on multistage adaptive space-frequency domain progressive fusion. The method comprises the following steps: constructing a paired image data set; constructing a low-illumination image enhancement network based on multistage adaptive space-frequency domain progressive fusion, wherein the low-illumination image enhancement network is composed of a spatial domain branch comprising five spatial domain enhancement modules and a frequency domain branch comprising five frequency domain enhancement modules; the spatial domain enhancement module adaptively enhances the image brightness and recovers the image color in a spatial domain; the frequency domain enhancement module adaptively enhances image amplitude information and recovers image phase information in a frequency domain; the network is of a five-level fusion structure, multi-level fusion is performed on enhanced images obtained by spatial domain and frequency domain branches, and progressive fusion and enhancement of spatial-frequency domain features are realized; constructing a loss function; the low-illumination image enhancement network is trained and used for low-illumination image enhancement, and a corresponding normal-illumination image is output. According to the method, the problems of insufficient brightness, color distortion and detail missing of a low-illumination image in a real scene can be remarkably improved.

Techniques for providing a language model with dynamic configuration data for network devices in a network that is then used by the language model to generate network-contextual responses to prompts received at the language model. A network controller may collect configuration data from the network devices where the configuration data includes device configurations of the network devices. The network controller may further receive a prompt from a network operator to which the language model is to respond and identify a relevant device configuration that is contextually relevant to the prompt. Further, the network controller may provide the prompt and the relevant device configuration to the language model, generate, by the language model and using the relevant device configuration, a response to the prompt, and provide the network operator with an indication of the response to the prompt.

The invention discloses a one-way data transmission method and system between physical isolation networks based on a national cryptographic algorithm, and relates to the technical field of computer information network security, the method comprises the following steps: a sending terminal processes an encrypted public key and a random number by using an SM9 algorithm, and displays an obtained secret key packaging two-dimensional code; the receiving terminal carries out decoding verification on the key packaging two-dimensional code, and if the verification is passed, a packaging key is obtained; the sending terminal encrypts the original data by using an SM4GCM algorithm to obtain a ciphertext, performs RaptorQ coding on the ciphertext to obtain redundant data fragments, performs coding processing on the auxiliary information and the redundant data fragments, and displays an obtained two-dimensional code sequence; the receiving terminal performs decoding verification on the two-dimensional code sequence, and if the verification is passed, decrypted data is obtained; the Hash value of the decrypted data is calculated through the SM3 algorithm, if the Hash value of the decrypted data is consistent with the Hash value of the original data, data transmission is completed, and safe, efficient and reliable data transmission can be achieved.

Various embodiments comprise wireless communication networks to support slicing in an Internet Protocol Multimedia Subsystem (IMS) core. In some examples, the wireless communication network comprises a multimedia function and a network data system. The multimedia function receives a registration request indicating a User Equipment (UE) Identifier (ID). The multimedia function queries a network data system for UE subscription information. The network data system correlates the UE ID to slice information associated with a UE and indicates the slice information to the multimedia function. The multimedia function receives the slice information from the network data system and responsively caches the slice information in association with the UE ID.

The present application relates to a kind of electric power information system vulnerability scanning verification intelligent method.The present application is formed by the key technologies such as electric power information network Web system asset identification and vulnerability intelligent detection, and forms the intelligent, non-destructive electric power information network Web system asset identification and vulnerability intelligent detection technology system, comprehensively improves the deep level vulnerability mining of electric power information network Web system and the accurate identification ability of attack, makes the supplement for the research of company network security field in scientific research, technology and equipment etc.Aspects of research.From the angle of attack research, it will promote the research and development of related security technology and product in the field of electric power.

The invention relates to a simulation system for a spatial optical network, which is constructed on a distributed computing cluster, adopts containerized node packaging, abstracts each satellite into an independent container instance, and interconnects the container instances through a container network to form a dynamic constellation topology. The multi-process parallel link simulation module is configured to introduce a multi-process parallel link simulation module and a non-linear bandwidth scaling factor module; the routing management and control simulation layer is a control plane of the simulation system, and the routing management and control simulation layer is configured to simulate the whole flow of routing decision in the spatial optical network; a network environment simulation layer configured to simulate spatial channel characteristics in the spatial optical network; and a resource optimization layer configured for global active congestion control and optical resource scheduling. According to the method, the fundamental defects of an existing simulation scheme (based on an on-chip bus) in the aspects of speed, flexibility and authenticity are overcome, and powerful support is provided for design, verification and performance evaluation of a next-generation spatial information network.

A relay satellite platform communication device for space-ground networking belongs to the field of relay satellites, and is formed by system-level integration of four core technologies including a structure-electrical integrated central bearing frame, an integrated three-surface pluggable modular system, a conformal antenna integrated multifunctional shell and an internal and external cooperative heat pipe heat dissipation network. A framework-module-skin three-layer deep coupling system framework is constructed, six faces of a center bearing structure are divided into a movable area and a static area, the movable area is used for achieving function reconfiguration and on-orbit maintenance, and the static area is used for deploying a high-reliability platform foundation system which is fixed once launched. According to the invention, the problems of difficulty in on-orbit maintenance, low reliability and efficiency bottleneck caused by discrete architecture and functional coupling of a traditional relay satellite are solved, and a high-reliability, high-flexibility and easy-to-maintain satellite platform foundation is provided for constructing a dynamic reconfigurable space-ground integrated information network.

A system and method for personalizing health information content provided to a user. The techniques include obtaining user profile data associated with the user in response to a query submitted by the user. The user profile data includes health data of the user and application use data by the user. The techniques further include expanding the query into a plurality of queries based on the health data of the user, performing semantic searches for the plurality of queries, ranking results from the performed semantic searches, aggregating the results from the performed semantic searches based on the ranking to generate an aggregated health information response, and providing the aggregated health information response to the user.

A network device may have an interface configured as a trunk interface. The network device may receive information indicative of the state of the interface for enabling or disabling VLAN information propagation using the interface. Based on the received information, the network device may appropriately configure the interface to participate in a VLAN information propagation protocol.

Technology is disclosed herein for diagnosing root causes of operational anomalies on wireless networks in various implementations. In one example, program instructions direct a computing apparatus to detect an operational anomaly in a wireless network based on error code information and capture network operations data and contextual information relating to the operational anomaly. The program instructions further direct the computing apparatus to prompt an AI model to identify a root cause of the operational anomaly based on the error code information, the network operations data, and the contextual information and to receive output from the AI model including a root cause analysis of the operational anomaly.