2126 results about "Network connection" patented technology

Methods and systems for providing network connectivity are disclosed. In an embodiment, a method for providing network connectivity involves receiving from a Mobile Network Operator (MNO) an access ID, an IP address, and an Access Point Name (APN) at a SASE domain, wherein the access ID, the IP address, and the APN correspond to a wireless device, updating IP address-to-tenant mappings at the SASE domain in response to the access ID, the IP address, and the APN, and forwarding traffic received at the SASE domain from the wireless device via the MNO according to the updated IP address-to-tenant mappings.

The invention discloses an intelligent water affair monitoring and management system based on digital twinning, and relates to the technical field of intelligent water affair. The intelligent water affair monitoring and management system comprises a water affair monitoring and management platform, and the water affair monitoring and management platform is in communication connection with the following modules: a multi-source data acquisition module; the water affair monitoring system is used for collecting and preprocessing water affair monitoring data from a plurality of monitoring points of the water affair system, monitoring changes of a pipe network topological structure and obtaining dynamic data of a pipe network connection relation and geometric parameters. Through the digital twinborn technology, data of multiple monitoring points can be integrated in real time, abnormal events such as water quality pollution, equipment faults, water shortage and hydraulic change can be rapidly recognized in combination with the abnormal trend analysis module, early warning signals are automatically generated, the response time is remarkably shortened through an instant early warning mechanism, and the early warning efficiency is improved. Therefore, the management personnel can take measures at the initial stage of the abnormal event, the problem expansion is effectively prevented, and the timeliness and accuracy of water management are improved.

The invention relates to an intelligent metering box monitoring method, system and device and a storage medium, and the method comprises the steps: continuously collecting the operation data of an intelligent metering box in an offline state of the intelligent metering box, carrying out the abnormal trend recognition of the operation data through combining with a pre-trained edge side abnormality recognition model, and obtaining a local judgment result; abnormal record data are generated according to the local judgment result, the abnormal record data are cached in a local storage unit, and the abnormal record data comprise fault types, timestamps and index values; generating a communication connection request signal under the condition that the communication connection condition is met, and controlling the communication channel to establish network connection according to the communication connection request signal; and after the communication response is received, collecting the network signal strength, and uploading the abnormal record data to a remote management platform based on the network signal strength. The intelligent metering box has the effect of improving the monitoring reliability of the intelligent metering box.

The power supply conversion circuit includes an isolation transformer, and the isolation transformer includes at least two primary coils and at least one secondary coil. Each primary coil is connected to a half-bridge circuit by using a first resonant network, and half-bridge circuits corresponding to the at least two primary coils are connected in series between two electrodes of a power supply. The half-bridge circuit is connected in parallel to a voltage divider, the voltage divider includes a first capacitor and a second capacitor that are connected in series, a first terminal of the first resonant network is connected to an intermediate node of the half-bridge circuit, and a second terminal of the first resonant network is connected to a connection point between the first capacitor and the second capacitor.

Examples provide improved methods for managing wireless network connectivity for a mobile device. Examples include receiving a network map that defines geographic availability of a first wireless network; determining that the first wireless network is accessible within a travel segment of a travel plan based on comparing geographic location data associated with the travel segment to the geographic availability of the first wireless network from the network map; creating a network plan that includes the travel segment and an associated connectivity waypoint, the connectivity waypoint defining when to alter connectivity status with the first wireless network; and causing the mobile device to alter connectivity status with the first wireless network based on proximity to the connectivity waypoint.

A method and system for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera, microphone, and speaker integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. Clustering photos by content is used to improve display and to respond to photo viewer desires. Trends or patterns can be detected from the photo collections and that information is used for various purposes beyond photo display. The frame includes a conversational intelligence that provides a verbal communication with a viewer, such as for determining an identity or preferences of the frame viewer, determining photos to display for the viewer, discussing displayed photos with the viewer, or telling stories and life histories to the viewer based upon photo content.

The invention relates to the technical field of defect detection, in particular to a defect detection method, system and equipment based on improved YOLOv5 and a medium. Firstly, image data of industrial parts in the production process are collected through a high-definition camera, image preprocessing is carried out according to part surface defect characteristics, key frames are extracted, defect areas are marked, and a defect detection data set is constructed; secondly, configuring a training environment; constructing a CED-YOLO network model by taking the YOLOv5 network as a basic network, replacing a C3 module in a backbone network of the YOLOv5 network with a CEMS module as a feature extraction module, replacing a C3 module of a neck network connection detection layer part with differential attention DA, and enhancing extracted features; and finally, the CED-YOLO network model is trained and verified by using the data set after data enhancement, so that the calculation amount is effectively reduced, the detection efficiency is improved, and the detection performance of the model is greatly improved.

The invention discloses a tamper-resistant end-to-end service data storage method and system, and relates to the technical field of service data storage methods, and the method comprises the steps: initializing a hardware security module and a monotone increasing clock in terminal equipment, building a unique identity identifier of the equipment, and preparing a log environment for recording service data; the method comprises the following steps: collecting current business data and associated meta-information thereof, and constructing input content of current data processing in combination with an equipment identity, a clock value, a data structure template and an abstract value generated by previous business data; hash operation is carried out on the input content to generate an abstract of the business data, the abstract is signed by using a hardware security module to form an equipment side digital signature, and the abstract, the signature and meta-information are written into a log only increasing but not changing and an offline queue; and after the terminal recovers the network connection, generating a unique idempotent key based on the abstract of the service data or the combination of the equipment identity and the clock, and submitting an evidence storage request containing the abstract and the signature to the server.

An automated carbon asset network system and a carbon asset management method are provided. The automated carbon asset network system includes a carbon asset management digital platform realizing a carbon inventory executed for an enterprise through a computer system, and the carbon asset management digital platform includes a carbon asset network establishing module, a carbon asset network connection module, and a carbon asset network update module. The carbon asset management method includes: receiving data for stakeholders, internal or external carbon asset management digital platform, carbon asset management report formats, and carbon inventory obtained through automated customized questionnaires, by using the application program interface; automatically integrating carbon inventory data for supply chains and performing version control; digitally managing a full scope of an organizational greenhouse gas inventory and product carbon footprint information throughout product life cycles for brands in the enterprise; and generating documents according to requirements.

The invention belongs to the field of photovoltaic panel hot plate image processing, and particularly relates to a photovoltaic panel defect detection method fusing multi-scale wavelets and a lightweight attention mechanism. According to the method, an RHDWT discrete wavelet transform module based on multi-scale decomposition is added in a model input stage to strengthen image edge and texture detail representation; a Mix Structure Block module is introduced into a backbone network of the YOLOv11, so that multi-scale features are fused, and the feature expression capability is improved; an LWGA lightweight global attention mechanism is introduced into a neural network connection layer to enhance the context modeling capability, and the detection effect on small target defects such as fine cracks and hot spots is improved. According to the model, through collaborative optimization in three aspects of input preprocessing, feature extraction and an attention mechanism, the precision and robustness of defect detection in a complex photovoltaic module infrared or visible light image are remarkably improved, and the model is suitable for scenes such as high-precision photovoltaic panel image detection and intelligent maintenance.

The invention discloses an urban intelligent water affair risk dynamic identification and early warning method based on deep learning, and the method comprises the following steps: S1, collecting the water pressure, flow, residual chlorine concentration, elevation, rainfall, valve state, pump station state and accident label of each node in a water supply network, and constructing a time alignment data sequence; s2, constructing a dynamic adjacency matrix according to the pipe network connection relation and the event state information; s3, inputting the data sequence and the dynamic adjacency matrix into an improved space-time diagram wavelet neural network to generate space-time feature representation; s4, multi-scale features are extracted and fused through the high-frequency branches and the low-frequency branches; s5, constructing a hyperedge set, executing graph structure propagation, and generating a risk representation tensor; s6, inputting the risk representation tensor into the risk prediction network, and outputting a node risk probability and a confidence interval; and S7, determining a risk level according to the risk probability and the confidence interval, and generating a corresponding early warning signal. According to the invention, fine modeling and dynamic early warning of urban water supply risks are realized.

According to some embodiments, a method performed by a wireless device for non-terrestrial network (NTN) connection control comprises receiving a message comprising parameters from which the wireless device is informed that it is to disconnect from a terrestrial network (TN) and connect to one of one or more NTNs or disconnect from a NTN and connect to one of one or more TNs. Upon the parameters informing the wireless device to connect to one of one or more NTNs, the method further comprises: disconnecting from the TN; based at least in part on the one or more parameters, selecting one of the detected at least one of the one or more NTNs; and connecting to the selected NTN. Upon the parameters informing the wireless device to connect to one of one or more TNs: the method further comprises disconnecting from the NTN, and detecting, selecting, and connecting to the TN.

In various examples, systems and methods described herein may cause a machine to establish a network connection with a network access device based at least on map data indicating to use the network access device for network connectivity at a location of the machine. In some examples, the map data may be generated based at least on one or more network performance scores associated with one or more network access devices disposed in the environment. In some instances, the network performance score(s) may be determined based at least on one or more wireless network signals transmitted by the network access device(s) and obtained using the machine and / or another machine. The network performance score(s) may, in some examples, be indicative of a signal strength associated with the network access device(s) at the location of the machine.

The invention relates to the technical field of communication and electronics, and discloses a low-altitude unmanned system data processing method and gateway based on edge computing, and the edge computing gateway executes the following steps: obtaining sensor data collected by a low-altitude unmanned system in real time, continuously monitoring the network connection quality between the edge computing gateway and the cloud server; in response to the change of the network connection quality, dynamically selecting one adaptive mode from three preset data processing modes; processing the sensor data by adopting the selected data processing mode to obtain an analysis result; and based on the analysis result, locally generating a control instruction for controlling the low-altitude unmanned system at the edge computing gateway. By analyzing the preset task profile file and combining the utility evaluation and the model selection strategy, the computing resources and the AI model of the unmanned system are subjected to prospective pre-configuration.

An electric valve includes a motor, a power transmission mechanism that converts rotational movement generated by the motor into axial movement of a valve body, a housing that accommodates at least a part of the power transmission mechanism and the motor, an external connector that is provided to the housing and enables power supply to the motor and communication with a control device connected via a network, and a control substrate that is provided in the housing, processes the communication and controls the motor, and has a connection position connected to an external connector-side terminal and a connection position connected to a motor-side terminal disposed on opposite sides to each other with respect to the axis of the motor.

The invention discloses a social risk management method based on a large model and multi-modal data, and relates to the technical field of risk management, and the method comprises the following steps: accessing multi-source heterogeneous data from multiple parties, and carrying out unified space-time alignment and cleaning; analyzing data, extracting entities and relationships thereof, and constructing a basic map; the method comprises the following steps: quantifying mechanical operation into dynamic disturbance to a nearest pipe network, calculating health degree attenuation of the mechanical operation, simulating a dynamic process of spreading a risk to peripheral nodes along a pipe network connection relation, and updating a risk state of the whole network in real time; when the pipeline health degree is lower than a critical value, causal reasoning is triggered, and early warning information is automatically generated and pushed to a related responsible unit; and collecting a feedback result of each early warning to periodically optimize and adjust parameters in the risk propagation model. According to the method, the space-time knowledge graph is constructed, and the dynamic risk propagation model is researched and developed based on the space-time knowledge graph, so that the dynamic influence of construction disturbance on the pipe network system can be accurately quantified, and the chain evolution path of the pipe network system can be simulated.

A system and a method to detect an attack on an IoT network is disclosed. The IoT network includes interconnection of multiple IoT devices. The method includes receiving, by a network connection device, multiple ICMPv6 network packets from IoT devices and outputting multiple output packets; and matching, by a routing device, a network traffic pattern to attack signatures structured as a taxonomy according to which part of a packet is misused. The taxonomy includes a branch to a data plane attack and a control plane attack, respectively. When an IPv6 RPL packet is detected, the method includes checking for generating, modifying, and replaying attacks by an attacker. When a non-RPL packet is detected, the method includes checking for dropping and leaking packet attacks by the attacker. When the attack is detected, the method includes invoking a solution to the attack. The solution includes mitigation of the attack by the attacker.

The invention provides a server configuration system and a server configuration method, which can be applied to the technical field of servers. The server configuration system comprises a main control module arranged on a main circuit board and used for acquiring configuration attribute information of a plurality of network connection devices and a plurality of first processors and sending the configuration attribute information and a generated power-on and power-off instruction to a serial expansion module; the serial expansion module is arranged on the serial expansion switching board and comprises a first controller and a plurality of switching units, and the first controller is used for controlling the plurality of switching units, the plurality of network connection devices and the plurality of first processors to perform power-on and power-off operation according to the power-on and power-off instruction and issuing configuration attribute information to the plurality of switching units; and the switching unit is used for carrying out bandwidth configuration on the plurality of network connection devices and the plurality of first processors according to the configuration attribute information.

Systems, devices, and methods are described herein for calculating a trust score. The trust score may be calculated between entities including, but not limited to, human users, groups of users, organizations, or businesses / corporations. A system trust score may be calculated for an entity by combining a variety of factors, including verification data, a network connectivity score, publicly available information, and / or ratings data. A peer trust score targeted from a first entity to a second entity may also be calculated based on the above factors. In some embodiments, the peer trust score may be derived from the system trust score for the target entity and may take into account additional factors, including social network connections, group / demographic info, and location data. Finally, a contextual trust score may be calculated between the first and second entities based on a type of transaction or activity to be performed between the two entities.

The invention relates to a hyper-dimensional calculation model cooperative training method and device based on federated learning, and belongs to the field of distributed machine learning and data privacy protection. The device comprises a central server and M distributed client devices which communicate through network connection, the method comprises the following steps: S1, initializing parameters; s2, broadcasting parameters; s3, local super-dimensional calculation model parameters are updated; s4, the similarity between the two is calculated, and the local training data volume is counted; s5, uploading to a server; s6, calculating parameters of the global super-dimensional calculation model based on a dynamic weighted aggregation method; s7, judging whether convergence is carried out or the maximum training round number is reached; if yes, training is ended, and global super-dimensional calculation model parameters are output; otherwise, returning to the step S3; and S8, the user executes the classification task and outputs a prediction classification result. According to the method, the training efficiency and the global model performance of federal learning under a super-dimensional calculation model can be improved on the premise of ensuring data privacy and security.

A picture frame and methods of setup, gifting, and / or use. Network connection allows digital frames to be set up remotely by a first user for a second user. The first user can upload photos from electronic devices or from photo collections of community members before the second user receives the frame device. The frame is thus ready for display upon powering on by the second user. An integrated speaker is used to automatically deliver spoken messages at start-up. The displayed photos are automatically shown and / or changed according to the detected viewers. The photos can be filtered and cropped at the receiver side. Clustering photos by content is used to improve display and to respond to photo viewer desires.

The invention provides a surrounding vehicle track prediction method and system based on an attention mechanism in a network connection environment, and the method comprises the steps: constructing a vehicle network which comprises a road side unit and a vehicle; cooperative driving data of the target vehicle and surrounding vehicles are obtained through a road side unit and a sensor on the vehicle; the driving data is preprocessed; inputting the preprocessed driving data into the trained Transform trajectory prediction model based on the attention mechanism to obtain a trajectory prediction result of the surrounding vehicles; calculating a root-mean-square error between the trajectory prediction result and the actual running trajectory of the vehicle; constructing a vehicle collaborative decision according to the trajectory prediction result and the root-mean-square error, and controlling the operation of the vehicle based on the vehicle collaborative decision; according to the invention, an attention mechanism is adopted to effectively capture a complex dynamic interaction relationship between vehicles, and the precision of trajectory prediction is remarkably improved.

The invention relates to the technical field of wireless communication, discloses a method and a system for setting parameters of a positioner terminal through Bluetooth, and is used for solving the technical problem that in the prior art, the positioner terminal can perform parameter configuration only by depending on a mobile network or physical connection. The method comprises the following steps: when a locator terminal detects that no network connection exists, broadcasting a connectable signal containing an equipment identity identifier through a Bluetooth module; the mobile phone end scans and establishes an encrypted point-to-point communication link with the terminal; the mobile phone end sends an encrypted and verified parameter modification instruction; and the terminal updates the parameters after analyzing the instruction, and writes the parameters into a physically isolated storage area to realize persistent configuration. According to the invention, reliable parameter setting of the locator terminal in an offline environment is realized, dependence on a mobile network or physical connection is avoided, and direct secure connection between the mobile terminal and the locator terminal is realized.

The system connects a wireless device to a non-terrestrial communication network from a terrestrial communication network such that a wireless communication service is provided by the non-terrestrial communication network. The system pairs with a secondary device configured to collect data related to a physiological condition of a user of the wireless device. The system collects mobility management event data when the wireless device connects to the non-terrestrial communication network and when the wireless device enters a different tracking area. The system receives data related to the physiological condition of the user of the wireless device. The wireless device transmits the physiological data when the wireless device enters a new tracking area. The system determines a state of emergency based on the mobility management event data and data related to the physiological condition of the user of the wireless device. The system causes the non-terrestrial network to notify an emergency service.

Techniques are disclosed for validating a cloud region built at a prefab factory. A computing device of the cloud region can receive a network configuration from a manager service. The network configuration can correspond to a network topology of physical resources in the cloud region and can include a first identifier associated with a computing device, a second identifier associated with a neighboring computing device, and information associating the computing device with the neighboring computing device. The computing device can be configured for transmitting to a second data center and can boot into a test mode at the second data center and receive a new identifier from a server device. The computing device can verify the new identifier and send a validation request to the neighboring computing device. The computing device can validate a network connection to the neighboring computing device based on a response to the validation request.

The invention discloses an authentication encryption system, method and device and a storage medium, and relates to the technical field of wireless communication, the authentication encryption method comprises a client terminal device and a network connection module; the network connection module obtains a terminal identity and a session key structure of the client terminal equipment to be accessed based on a pre-trained session key prediction model; when a connection request of the client terminal equipment is received, generating a session key of the client terminal equipment according to the terminal identity and the session key structure; encrypting the session key, and caching the encrypted session key obtained by encryption; and when a connection request initiated by the client terminal equipment again is received, performing quick access authentication on the client terminal equipment based on the cached encrypted session key. The required session key is prepared in advance through a key prediction mechanism, and the session key is locally cached, so that the authentication time is shortened, and the network connection speed is improved.

Systems and methods are described for monitoring for congestion conditions within a packet fronthaul underlay network of a radio access network, RAN. For example, congestion conditions are monitored within the packet fronthaul underlay network, the packet fronthaul underlay network comprising a plurality of Layer 2, L2, switches to communicate enhanced Common Public Radio Interface, eCPRI, packets embedded in L2 frames. One or more congestion bits are updated in a reserved header field of an eCPRI packet responsive to detecting the congestion conditions to provide a notification of the congestion condition to one or more other L2 switches through which the eCPRI packet is processed and to a baseband unit (BBU) or distributed unit (DU) terminating the eCPRI interface. The BBU or DU maps the congestion conditions to network connections external to the packet fronthaul underlay network responsive to the notification.

The invention relates to the technical field of intelligent equipment, and discloses a rapid configuration and remote upgrading method and system for intelligent equipment, and the method comprises the steps: monitoring an equipment configuration key, enabling the equipment to enter a configuration mode, generating a wireless network with a unique identifier, and starting an internal Web server and a receiving timeout timer; connecting the wireless network through a mobile terminal, accessing the internal Web server configuration interface and acquiring configuration information; executing a network connection test based on the configuration information to obtain a verification result; performing multi-layer heterogeneous network resource allocation and deep reinforcement learning on a service function chain based on the verification result to obtain target network connection; and sending a version query request to an OTA server through the target network connection to obtain firmware data passing verification, and writing the firmware data passing verification into a target flash memory area to obtain an upgraded system. According to the invention, the security and success rate of equipment upgrading are improved.

The invention belongs to the field of vehicle networking communication, and particularly relates to a hybrid network communication system for network connection cooperative driving, which comprises the following steps: analyzing urban road straightaway and highway straightaway scenes including scene composition and scene traffic flow; deploying RSU and MEC calculation units according to scene analysis; establishing a multi-mode communication and hybrid network topology structure; a hybrid network cooperative lane changing communication system is established according to multimode communication and a hybrid network topology structure, and comprises a vehicle end system, a road side system and a cloud control platform; based on a hybrid network cooperative lane changing communication system, executing a CAV cooperative lane changing driving service; the continuity of cross-network communication is realized, and an efficient, low-delay and high-reliability cooperative driving task is realized.

The invention discloses a network connection method, a connection system and a storage medium. The network connection method comprises the following steps: determining the type of a current running application; determining a traffic demand level of the type according to the current bandwidth occupancy rate or the current network traffic rate; determining a Wi-Fi network signal strength switching threshold value according to the type and historical data of the current running application; and switching a network connection mode according to the traffic demand level and a Wi-Fi network signal strength switching threshold. Through the above mode, the network connection strategy can be dynamically adjusted in different traffic demand scenes, and performance improvement and energy consumption optimization are realized.