297 results about "Network sharing" patented technology

The invention discloses a sensing node communication system and method with a self-healing mechanism. The sensing node communication system comprises a node detection module, a node communication module, a preprocessing module, a mixed training module and a self-healing control module. The system realizes periodic acquisition of multi-dimensional environmental parameters by configuring a plurality of sensing nodes, shares state information based on a self-organizing network, and constructs a local network health state map. The preprocessed data is used for training a hybrid neural network, and long-term dependency features and local abnormal fluctuation features of node states are extracted from the data to assess fault risks. When the risk score exceeds a threshold value, the system automatically executes self-healing operations such as dynamic route reconstruction and standby link activation. According to the invention, the stability and the adaptive capability of the underwater sensor network are improved, and the method has wide application value.

The invention provides a full-coverage cleaning modular control method and system for a photovoltaic cleaning robot. According to the method, a photovoltaic panel three-dimensional terrain model is constructed by collecting laser ranging, photovoltaic panel surface temperature distribution, environment airflow and position relation data; and generating an obstacle distribution map based on the model, and dynamically analyzing gap width and attachment height parameters of the cleaning area. Therefore, the bending angle and the telescopic amplitude of a connecting part of the cleaning module are adjusted in real time, and robot pose information is synchronously updated. And in combination with the position data, the obstacle map and the pose of the whole robot, an uncleaned area identifier and a dynamic coverage path are generated, and information is shared through a wireless network. The system dynamically distributes working areas and advancing directions of the multiple robots, and efficient cooperative full-coverage cleaning of the photovoltaic array is achieved. According to the technical scheme provided by the invention, through multi-source environment perception and dynamic pose adjustment, intelligent path cooperation and full-coverage operation of multiple cleaning robots are realized.

The invention provides a dynamic encryption communication method, system and device for an Internet of Things device, and a storage medium, and the method comprises the steps: obtaining the current geographic position information of the Internet of Things device, and determining the security demand level of the Internet of Things device according to the current geographic position information and a preset geographic position list of different security levels; acquiring a network performance index of a mobile network shared channel at the position of the Internet of Things equipment, and determining a congestion degree parameter of a surrounding network environment according to the network performance index; classifying according to the service type of the Internet of Things equipment to obtain a service volume level; and integrating the obtained security demand level, the congestion degree parameter and the service volume level, dynamically selecting a corresponding encryption algorithm to encrypt sensitive data of the Internet of Things equipment, and transmitting the encrypted data to a cloud server. By dynamically selecting the encryption algorithm and adjusting according to the location information, the security and the energy efficiency can be balanced in different scenes.

The invention relates to the technical field of industrial equipment intelligent operation and maintenance, and discloses a self-adaptive predictive maintenance system and method for industrial equipment. A physical mechanism and neural residual parallel mixed digital twinborn model is constructed, predictive deviation is explicitly modeled into a residual, and through a meta-learning technology, the prediction deviation and the residual are subjected to prediction prediction; a twin mother set with universal knowledge is trained offline from historical data of an equipment group, for new equipment, a small amount of initial data can be used for rapid fine adjustment based on the mother set, personalized twin is efficiently generated, a residual sequence is continuously monitored in an online diagnosis stage and a system, probability modeling is performed on health residual distribution, and the probability modeling result is obtained. Sensitive detection of early and unknown faults is achieved, and after individual twins obtain new knowledge through self-adaptive learning, the knowledge is shared through a federated network in a model updating quantity mode and used for iteratively optimizing a global twinborn mother set, and intelligent population evolution between devices is achieved.

The invention discloses an unmanned aerial vehicle cluster control method and system based on artificial intelligence, and relates to the technical field of unmanned aerial vehicle cluster control, and the method comprises the steps: obtaining global cooperative situation data through a sensor, and carrying out the preprocessing; calculating control output of each unmanned aerial vehicle by using a fuzzy C-means clustering algorithm and an analytic hierarchy process, generating a preliminary flight path, and dynamically adjusting the flight path according to real-time environment feedback through a reinforcement learning algorithm; the unmanned aerial vehicle cluster shares the adjusted flight path and global environment information through a 5G network, analyzes the speed, course angle, height, acceleration gradient and height change rate of each unmanned aerial vehicle by using a distributed control algorithm, and generates cooperative control parameters; according to the invention, by combining the fuzzy C-means clustering algorithm, the analytic hierarchy process, the reinforcement learning algorithm, the distributed control algorithm and the genetic algorithm, efficient cooperative control of the unmanned aerial vehicle cluster in a complex environment is realized.

The invention relates to the technical field of intelligent welding, in particular to a distributed reinforcement learning control method and system for multi-robot cooperative welding, each welding robot collects vision measurement information under a global coordinate system by using a local vision sensor, and forms self observation information in combination with robot state information obtained by a self-sensor; the information is input into respective Actor-Critic networks, an Actor-Critic algorithm is executed, control actions are generated, welding operation is achieved, visual measurement information between the robots is shared through a 5G communication network, cooperation efficiency is enhanced, the Actor-Critic networks are trained with a cross entropy loss function as a target and with a two-norm of an action value as a constraint condition, and the robot vision measurement information is obtained. The target network adopts a soft update algorithm, the parameter update efficiency is improved, the central control bottleneck is eliminated by the distributed reinforcement learning architecture, and the robustness and reliability of the system are enhanced.

Sharing video footage having audio / video (A / V) recording and communication device (A / V device) model identifiers in accordance with embodiments of the present disclosure are provided. In one embodiment, a method for communicating in a network is provided, the method comprising receiving, from a first audio / video (A / V) recording and communication device (A / V device), at one or more servers in network communication with the first A / V device, first image data captured by a camera of the first A / V device; receiving, from a first client device associated with the first A / V device, at the server(s), a command to share the first image data with a network of users; determining a model identifier associated with the first A / V device; and transmitting the first image data and the model identifier associated with the first A / V device to a second client device of at least one user of the network of users.

Authentication of electronic document is based on multiple digital signatures incorporated into a blockchain. Structured data, metadata, and instructions may be hashed to generate the multiple digital signatures for distribution via the blockchain. Any peer receiving the blockchain may then verify an authenticity of an electronic document based on any one or more of the multiple digital signatures incorporated into the blockchain.

A device may include a plurality of network shared storage (NSS) client managers associated with a respective plurality of share entities in the vehicle. A device may include an NSS server manager communicatively coupled to the plurality of share entities and configured to interpret a shared storage scheme, and to manage access of the plurality of share entities to a shared data storage in response to the shared storage scheme; and wherein the NSS server manager is further configured to manage access of the plurality of share entities by configuring at least one of the plurality of NSS client managers to manage access to the shared data storage of an associated one of the respective plurality of share entities in the vehicle.

The invention discloses a spatial domain identification method and device based on multi-modal topological consistency, and belongs to the field of transcriptome spatial domain identification, and the method comprises the steps: constructing a multi-layer network which is in one-to-one correspondence with modal information contained in a biological tissue based on spatial transcriptomics data of the biological tissue; extracting a consensus structure feature shared by the multi-layer network and a specific structure feature specific to each layer of network; constructing a cell consistency network of the biological tissue according to the consensus structural features, the specific structural features and the multilayer network; and performing clustering processing on the cell consistency network to obtain recognition results of different spatial domains in the biological tissue. According to the method, the heterogeneity problem among different modal data can be overcome, and the spatial domain recognition effect is better.

A method includes recording a first bitrate of a data transfer session between a user endpoint device and a network element of a terrestrial mobile network, wherein the user endpoint device is locked into a radio frequency band of the terrestrial mobile network, recording a second bitrate of the data transfer session, during a test interval in which a satellite of a non-terrestrial network that shares the radio frequency band with the terrestrial mobile network is executing a function that generates a data transmission to generate full-bandwidth noise signals, calculating a difference between the first bitrate that is recorded and the second bitrate that is recorded, and initiating, in response to the difference exceeding a threshold, an action to modify a parameter of at least one of the terrestrial mobile network or the non-terrestrial network to reduce an effect of channel interference resulting from the sharing of the radio frequency band.

The invention provides a network version digital ocean ball public application and development integration method and system. According to the method, intelligent buoys equipped with laser communication and scanning equipment and processors are used as dynamic nodes, a self-organizing communication network is constructed, and underwater positions and ocean current data are shared. And when multiple nodes detect abnormal targets at the same time, a collaborative verification mechanism is triggered. The system drives the nodes to adjust the layout through a dynamic sphere model, and at least three nodes are controlled to move towards the center of the target along a spiral path to form a multi-layer spherical monitoring structure. And finally, encoding and uploading the three-dimensional coordinate data to a shore-based platform to generate an updated digital ocean ball map. According to the technical scheme provided by the invention, accurate positioning and three-dimensional visual monitoring of the abnormal target in the marine environment are realized, the marine ecological monitoring performance and the space coverage precision are remarkably improved, and a three-dimensional data support is provided for marine environment protection and disaster early warning.

The invention relates to an operation and maintenance management method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring operation and maintenance data; performing anomaly detection on the operation and maintenance data by using the multi-task prediction model to obtain a health assessment result; wherein the multi-task prediction model comprises an expert network and a prediction network; the expert network comprises at least one shared expert network and a plurality of private expert networks; the shared expert network is used for performing feature extraction and fusion processing on the operation and maintenance data to obtain a global feature vector; the private expert network is used for performing feature processing on operation and maintenance data corresponding to a specific scene and / or a specific task to obtain a local feature vector; the prediction network is used for detecting a target feature vector obtained by fusing the global feature vector and the local feature vector to obtain a health assessment result; performing evaluation analysis on the operation and maintenance quality based on the operation and maintenance data to obtain a target operation and maintenance evaluation result; and determining a target comprehensive result according to the health assessment result and the target operation and maintenance assessment result.

The embodiment of the invention discloses a network sharing method and device, equipment and a computer readable storage medium. A first operator is an operator providing shared resources, a second operator is an operator participating in sharing, in the embodiment of the application, a core network element of the first operator is connected with a core network element of the second operator, and a signing terminal of the second operator is connected with a core network of the first operator through an access network of the first operator. The core network of the second operator does not need to be directly connected with the access network of the first operator, so that the system complexity is reduced on the premise of realizing network sharing. Moreover, the network element of the core network of the first operator shares the network interaction information of the signed terminal of the second operator to the network element of the core network of the first operator, so that the first operator provides business service for the signed terminal of the first operator according to the network interaction information.

There is provided a system and method for eliminating ransomware infections on network shares. The system and method determines if a file on a shared network drive is written to, then the system buffers the data into memory and does not allow writing to the disk. After buffering, it sends this data for verification in user mode through a system service to an antivirus engine crypto-locker scanner. The anti-virus engine makes a verdict and if it does not detect encryption, then the data is recorded. If encryption was detected, the recording is blocked and localized to prevent spreading across a network.

The invention discloses an electromagnetic field intelligent calculation method based on deep learning, and the method specifically comprises the steps: inputting a space-time input vector into an MFF-PINN neural network, the MFF-PINN neural network comprises parallel sub-networks and a linear superposition module, the sub-network comprises a scale transformation module, a Fourier feature transformation module and an MLP processing module, and the MFF-PINN neural network comprises a linear superposition module; firstly, scale transformation is carried out on a space-time input vector, then Fourier feature transformation is carried out on the vector after scale transformation, and the Fourier feature transformation module carries out Fourier transformation on the vector after scale transformation based on an effective frequency matrix; all the sub-networks share the Fourier feature transformation, and the output obtained by the Fourier feature transformation is input to the MLP processing module in the first sub-network; and carrying out linear superposition on the output of the sub-networks. According to the invention, the expression capability of the network on the high-frequency component and multi-scale characteristics of the electromagnetic field is obviously enhanced.

A method for providing a shared SEPP for roaming aggregators includes, at a shared SEPP that functions as a single point of ingress and egress between an MVNO PLMN and an MNO PLMN and between the MVNO PLMN and MNO PLMNs and external networks, receiving a first service-based interface (SBI) request message from the MVNO PLMN. The method further includes determining, by the shared SEPP, that the first SBI request message is destined for the MNO PLMN, and, in response, routing the first SBI request message to the MNO PLMN. The method further includes receiving a second SBI request message from the MVNO PLMN and determining that the second SBI request message is destined for one of the external networks, and, in response, routing the second SBI request message to the one external network. The shared SEPP may apply security measures for messages transmitted to and from the MNO PLMN and the MVNO PLMN.

The invention discloses a model scheduling method, a storage cluster, a device and a medium, and relates to the technical field of computers. The method comprises the following steps: performing hierarchical processing on a model mirror image file in advance to obtain a base layer mirror image file and a model layer mirror image file, storing the base layer mirror image file in a cache space corresponding to a cloud platform, and storing the model layer mirror image file in a network sharing space. The mixed storage of the cache space and the network sharing space of the mirror image file is realized, and the redundant transmission and storage overhead is also reduced. In response to the current scheduling request, after the scheduling of the base layer mirror image file is completed for the first time, the base layer mirror image file does not need to be mounted for the non-first scheduling, so that the multiplexing of the base layer mirror image file is realized. And only the incremental model layer mirror image file is mounted for model iteration, so that the transmission overhead is reduced, the iteration requirement of each model is met, the network bandwidth consumption is reduced, and the deployment efficiency is improved.

A system may include a plurality of network shared storage (NSS) client managers associated with a respective plurality of share entities in the vehicle. The system may include an NSS server manager communicatively coupled to the plurality of share entities and configured to manage access of the plurality of share entities to a shared data storage, wherein the NSS server manager is further configured to manage access of the plurality of share entities by configuring at least one of the plurality of NSS client managers to manage access to the shared data storage of an associated one of the respective plurality of share entities, wherein the NSS server manager is communicatively coupled to the plurality of share entities over a mixed in-vehicle network (IVN) including a plurality of different network types.

Various aspects of the present disclosure relate to techniques for indirect network sharing. A network entity is configured to receive a first message for registering a UE with a participating network associated with a hosting network, transmit a second message comprising assistance information based at least in part on the received first message, wherein the assistance information comprises allowed NSSAI for the UE or partial allowed NSSAI for the UE, or both, and wherein each of the allowed NSSAI or the partial allowed NSSAI, or both is associated with corresponding allowed NSSAI or corresponding partial allowed NSSAI associated with the hosting network, and transmit a third message to a second network entity of the hosting network, the third message comprising allowed NSSAI or partial allowed NSSAI, or both, associated with the hosting network corresponding to the allowed NSSAI or the partial allowed NSSAI for the UE, or both.

The invention provides a coastal wetland mud flat ecological environment monitoring method, system and device and a medium, and belongs to the field of remote sensing image processing.The method comprises the steps that a double-branch network sharing an OfficientNet network backbone parameter is rebuilt, the improved network is connected with a connection terminal attention mechanism to form an OfficientNet model, the model is trained, and the OfficientNet model is constructed; enabling the model to predict a double-time-phase characteristic graph of the target coastal wetland mud flat; performing multi-level differential feature fusion on the dual-time-phase feature map, inputting the dual-time-phase feature map into a decoder, and generating a change prediction map with clear boundaries; obtaining a historical data set, an environmental factor and an ecological index; optimizing the ecological degradation rate and the ecological change correlation factors through normalization and cross validation, and generating a degradation trend prediction model; the method is high in data prediction precision and high in accuracy, can output degradation tendency charts and degradation risk level quantitative reports of the target area in the next few years, and provides powerful support for ecological protection.

The invention relates to the technical field of intelligent driving records, and discloses a method and system for fusing and sharing intelligent driving data and driving videos, and the method comprises the steps: collecting an intelligent driving controller signal; when the intelligent driving system makes a vehicle control behavior, performing video clipping through the first object; and fusing the cut video with the intelligent driving data, performing mosaic decryption, and transmitting the video to a service platform through network cloud service. The method does not depend on additional hardware equipment, only depends on a vehicle-mounted radar and a camera to capture images in different scenes, and carries out danger identification and makes a judgment through a visual algorithm; fusion of data statistics and video clipping is realized through a DVR app and an intelligent driving app; and providing a desensitization method and a network sharing service for users to share.

The invention belongs to the technical field of unmanned system cluster control and semi-physical simulation, discloses a method and a system for improving distributed cooperative control and simulation performance of an unmanned system, and aims to solve the problems of large communication delay, low synchronization precision, calculation bottleneck, model updating lagging and the like of a traditional simulation system. The method comprises the following steps: constructing a distributed system consisting of a service master station and at least one simulation middle station, and sharing a uniform address space by using an optical fiber reflection memory network (RFM); microsecond-level accurate synchronization of each node is realized through a hardware broadcast and interrupt mechanism of the RFM; all the simulation middle tables execute unmanned system dynamics resolving and cooperation tasks in parallel in a synchronization period; and the service main station is responsible for global instruction generation, semi-physical simulation closed-loop control and interaction with the large model to realize synchronous iteration of model training.

The present disclosure relates to a portable monitoring device, associated system and method The system (100) includes a portable monitoring device (102) configured to share data and resources with a network (104). The portable monitoring device (102) is configured to monitor movements, activities and related data. The network (104) facilitates exchange of information and resources among a plurality of interconnected nodes (106). The nodes (106) are configured to communicate with each other via one or more communication pathways (108). Implementations of the system, including the portable monitoring device, and methods disclosed are configured to generate evaluated data, including an energy requirement metric, based on data which includes data from one or more sensors of the portable monitoring device (102).

Methods, systems, and devices for wireless communications are described. An access and mobility management function (AMF) proxy may establish communication links with a RAN and a first AMF of a first network operator, and with a second AMF of a second network operator. The AMF proxy may receive a first message from the RAN, the first AMF, or the second AMF, the message indicating a manipulated or unmanipulated AMF user equipment (UE) identifier (ID) and a manipulated or unmanipulated RAN UE ID. The AMF proxy may perform ID manipulation the UE IDs in the first message based on a first mapping between the manipulated and unmanipulated AMF UE ID and a second mapping between the manipulated and unmanipulated RAN UE ID. The AMF proxy may transmit a second message to the first AMF, the second AMF, or the RAN based on the AMF UE ID or the RAN UE ID.

The invention discloses a network sharing method and device, computer equipment and a storage medium. The method specifically comprises the following steps: sending an emergency indication request to a second AMF network element belonging to an operator network; wherein the emergency indication request is used for indicating the second AMF network element to monitor a base station state of a first base station of a home operator network, determining an emergency state entry condition based on the base station state, and sending an emergency indication response message to the first AMF network element when the emergency state entry condition is an emergency state entry condition. And receiving the emergency indication response message, and controlling a second base station of the shared operator network to start a shared service, so that a user terminal belonging to the operator network accesses the shared operator network based on the second base station. According to the invention, not only is network sharing realized between the home operator network and the shared operator network, but also the network sharing efficiency is greatly improved, and the stability of network communication service in a disaster environment is effectively improved.

This disclosure relates to techniques for providing multicast and broadcast services in a wireless communication system with radio access network sharing. A cellular base station that is associated with multiple public land mobile networks may receive multicast and broadcast services session setup information for a multicast and broadcast services session. The cellular base station may determine that the session is associated with multiple public land mobile networks. The cellular base station may configure the multicast and broadcast services session that is associated with the multiple public land mobile networks.

The invention discloses a game model plagiarism detection method based on geometric features of a three-dimensional model, and the method comprises the following steps: S1, input processing: obtaining an original three-dimensional game model and a suspected infringement three-dimensional model, and taking the original three-dimensional game model and the suspected infringement three-dimensional model as input data; s2, point cloud preprocessing: respectively carrying out approximate surface uniform sampling on the two three-dimensional models, and sampling model data into a point cloud form; and S3, feature extraction: inputting the two preprocessed point clouds into a twinning neural network sharing the weight, and using a feature extractor to extract multi-level feature representations of the two point clouds. The method relates to the technical field of copyright protection of three-dimensional models, and has the beneficial effects that efficient three-dimensional model similarity detection is realized: a twin network architecture is introduced, the structure of the twin network architecture is improved, point cloud features are extracted in combination with a deep learning method, and the detection efficiency and accuracy of the similarity of the three-dimensional game models are improved.

The invention discloses a multi-ring topology redundancy and data strong real-time fault-tolerant method for an optical fiber reflection memory network, which comprises the following steps of: inserting a reflection memory card into each computer, and connecting the reflection memory cards through an optical fiber to form a ring network; on the basis of a ring network topology structure, a dual-redundancy system with one main redundancy and one standby redundancy is adopted; the design subsystem is connected with a switch through a bridge node to realize cross-region strong real-time and quasi-synchronization; designing main and standby systems to transmit and receive the same data at the same time, and performing redundancy elimination on the data by a receiving end; a monitoring mechanism of the backup system is designed, and whether data transmission interruption occurs in the main system is judged; whether a fault exists or not is judged by detecting a data flow state and an optical signal of each port, and a redundant backup system is selected for fault tolerance; and finally, a standard clock source is adopted to share standard time to the whole network, and the nodes carry out time correction by reading the standard time. The invention provides high reliability and real-time performance, and ensures that the system can still keep data integrity under the condition of a fault.

The invention discloses a cross-system data transmission processing method and system, and relates to the technical field of data processing, and the transmission processing steps are as follows: S1, data are configured as a network sharing directory among different merchant systems, the data are written into the network sharing directory, and encryption processing is performed based on a quantum encryption technology; s2, a user inputs to-be-known commodity data in a webpage, the commodity data is published to a network sharing catalog, the network sharing catalog obtains information, and matched data is retrieved in a catalog list based on a knowledge graph enhanced NER technology; and S3, the retrieved data information is sent to a webpage, and matching values of the retrieved data are calculated. According to the method, the screening time of the user is shortened, and the data demand is obtained through opening the webpage browser under the condition of not changing and destroying the operation, the interface and the data of the original business system, so that the cross-system business run-through does not depend on the original factory any more, and the data application initiative is comprehensively mastered.