4078 results about "Network connection" patented technology

An example operation may include one or more of receiving content from a conversation between a user on a user device and a second user on a second user device that is connected to the user device via a network, identifying a topic of the conversation based on execution of a generative artificial intelligence (GenAI) model on the received content from the conversation, identifying a call list that is previously stored in memory that is associated with the topic of the conversation based on keywords included in the identified topic of the conversation, and adding an identifier of the user to the call list stored in memory.

An example operation may include one or more of displaying a report on a user interface of a software application on a user device, listening to a call between a user on the user device and a different user on a second user device that is connected to the user device via a network, executing a generative artificial intelligence (GenAI) model based on content that is heard during the call and content within the report displayed on the user interface to identify content within the displayed report that is discussed during the call, and modifying the displayed report to emphasize the identified content within the displayed report on the user interface.

The invention relates to a charging pile intelligent operation management method and system based on the Internet of Things. The method comprises the following steps: performing Internet of Things topology construction on charging pile nodes to obtain a node communication distance matrix and a network connectivity matrix; performing deep learning dimension reduction and node screening based on the network connectivity matrix to obtain a fault feature vector; the fault feature vector and the charging pile operation state data are input into a hybrid neural network for risk calculation, a fault risk assessment value is obtained, and the hybrid neural network comprises a space perception sub-network and a time sequence analysis sub-network; performing normalization and dimension reduction mapping on the power response data of the charging pile to obtain a time domain mapping matrix; and performing particle swarm optimization calculation based on the time domain mapping matrix and the fault risk assessment value to obtain a charging power distribution scheme, and generating a control instruction set according to the charging power distribution scheme. According to the invention, the dynamic optimization of the charging power distribution scheme is realized, and the charging efficiency and the load balance are effectively balanced.

According to the 5G portable WiFi signal enhancement method and system provided by the invention, surrounding environment data are collected through an environment sensing sensor, and a device placement scheme is optimized in combination with a deep learning algorithm, so that the signal coverage range is expanded; the strategy of dynamically adjusting the transmitting power, the signal frequency and the modulation mode can optimize the signal strength according to the environmental change; interference signals are analyzed through quantum calculation, null is formed through the beam forming technology, interference signal receiving is effectively restrained, and the signal strength in the target direction is enhanced. In combination with the Internet of Things technology, uploading equipment state data to an edge server in real time for big data analysis, and pushing a personalized signal enhancement scheme according to different user use environments; through precise placement guidance and a dynamic frequency band switching strategy, a user can enjoy smoother network connection in a use process, and good signal quality is ensured to be kept in a complex environment. According to the invention, not only can the signal quality of 5G portable WiFi be improved, but also more intelligent and personalized network experience can be provided for users.

The invention discloses an edge computing power sharing method, an edge computing power sharing device, edge computing power sharing equipment and a medium, and the edge computing power sharing method comprises the following steps: connecting edge nodes through a decentralized P2P network, constructing a network connection module, and realizing computing power resource sharing among the nodes; collecting and monitoring computing power resource state data of each edge node through a computing power resource management module, judging nodes in an idle state through an evaluation algorithm, and adding computing power resources of the nodes into a shared pool; the node matching module is used for screening out an optimal matching node from the shared pool by utilizing a preset screening algorithm according to task demand information released by a computing power demand side; and the distribution execution module sends the task instruction to the selected optimal node from the cloud, and after the task is executed, the node releases the computing power resource and performs expense settlement through the charging module. According to the method, the utilization efficiency of computing power resources is optimized through decentralized node management and an intelligent matching mechanism, so that edge computing resources are more easily integrated and utilized.

The invention belongs to the field of PCIe Switch interconnection, and relates to a GPU cross-host communication interconnection system based on PCIe NTB, which comprises two hosts, two GPUs and two PCIe Switch chips, the two GPUs are respectively connected with the PCIe Switch chips, the two PCIe Switch chips are connected through a Crosslink line, a connection port of each PCIe Switch chip is set to be in an NTB mode, and the two GPUs achieve interconnection communication through the NTB. By windowing in the NTB, the address of the remote equipment is mapped in the local address space, so that the purpose of accessing the remote equipment is achieved. The PCIe Switch is used for replacing high-end network equipment, so that the hardware cost can be remarkably reduced, and the complexity of system deployment is reduced. Communication between the devices can be directly accessed through a memory address, and complex network connection, IP addresses or special software protocols do not need to be set; and low-delay and high-bandwidth GPU cross-host interconnection communication is achieved. Through the GPU which carries out cross-host communication in a PCIe NTB mode, the effect of GPU Direct P2P can be achieved.

In networks, some communication links may be provided as part of a network overlay. Technologies are disclosed for monitoring / analyzing targeted networks (e.g., network overlays) using probe packets sent from outside of the targeted networks / overlays. The probe packets are configured to include a stack of headers, including indications of UDP source ports, which are respectively examined in order at network devices in the targeted network to determine a routing scheme to utilize to route the packet.

The invention relates to the technical field of data transmission and updating, in particular to a data transmission and updating system and method of a cloud mobile phone. According to the technical scheme, the system comprises an intelligent network monitoring module, a dynamic bandwidth allocation module, a server load balancing module, an intelligent data synchronization module and a cache management module, and the intelligent network monitoring module monitors network conditions, including network bandwidth, network congestion degree and network stability, between a user terminal and a cloud server in real time. Through the synergistic effect of the intelligent network monitoring module, the dynamic bandwidth allocation module, the server load balancing module, the intelligent data synchronization module, the cache management module and the like, the network condition is accurately monitored, the bandwidth is reasonably allocated, the server load is optimized, the data synchronization and completeness are ensured, and the cache efficiency is improved; stable and reliable network connection, preferential key data transmission and rapid data synchronization and loading are brought to users, and the use experience of the cloud mobile phone and the overall performance of the system are greatly improved.

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.

An intelligent system for charging and maintaining an electric vehicle using IoT and AI, consisting of: a charging management unit configured to monitor and control the electric vehicle's charging cycles based on real-time power availability and vehicle battery status, with the charging management unit connected to a power grid; an Internet of Things (IoT) communication module operationally coupled with the charging management unit and configured to establish a network connection between the charging management unit and external servers, the electric vehicle, and various sensors distributed throughout the vehicle, with the IoT communication module enabling real-time data transmission;a sensor network comprising a variety of sensors integrated into the electric vehicle, including temperature, voltage, and current sensors, each configured to continuously monitor critical parameters of the battery and vehicle components and transmit data to the IoT communication module; an AI-based predictive unit connected to the IoT communication module, configured to analyze historical charging data, the current battery status, and environmental factors to optimize charging times and predict the electric vehicle's maintenance needs; a control processing unit operationally coupled with the charging management unit and the AI-based predictive unit, configured to dynamically adjust charging cycles based on AI-generated optimization recommendations;a maintenance planning unit integrated into the AI-based prediction unit and configured to automatically schedule maintenance operations based on predictive analyses of vehicle component wear and battery condition, with the schedule communicated to the vehicle user via a user interface; and a data encryption unit connected to the IoT communication module, the data encryption unit being configured to encrypt all real-time communication between the electric vehicle, external servers, and maintenance systems to ensure the secure transmission of sensitive vehicle information.

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 the technical field of network communication, provides a dual-stack network adaptive scheduling method and system based on a DNS analysis strategy, and is used for establishing an effective protocol stack feature association mechanism so as to realize cross-protocol-layer intelligent scheduling. The method comprises the steps that a DNS analysis request sent by a client side is received, and the DNS analysis request carries a target domain name and a request protocol type; analyzing the request protocol type to determine a network protocol stack type supported by the client; generating an adaptive scheduling strategy corresponding to the target domain name according to the network protocol stack type and a preset address type priority list; selecting a target IP address type from a pre-configured IP address pool based on the self-adaptive scheduling strategy; and returning an analysis result corresponding to the target IP address type to the client so as to guide the client to establish network connection through the target IP address type.

A computing system and related method protect a computer network connection manager's resources from attempted resource attacks by extracting SrcIP and TTL values from received data packet headers. Extracted SrcIP and TTL values are analyzed to determine the probability that a received data packet is malicious. If the probability exceeds a specified threshold, resources are denied, and the packet is dropped. If the specified threshold is not exceeded, resources are allocated to the received data packet. The SrcIP reputation score, TTL value frequency, SrcIP frequency, SrcIP geo-location, and resource occupancy may all be used in computing the probability of a malicious data packet. These factors may be weighted and summed to calculate the probability of a malicious data packet.

The invention provides a cross-platform network speed measurement and adaptive path switching method and device and a storage medium. The method comprises the following steps: receiving a target domain name and a multi-source DNS server list; extracting historical network quality data corresponding to the environment identifier and each candidate IP address, inputting the historical network quality data into a link quality prediction model to obtain a prediction score of each candidate IP address, and screening according to a preset threshold to obtain a target IP subset; performing active detection of limited times on each IP address in the target IP subset to obtain a detection index; calculating the comprehensive score of each IP address based on the prediction score and the detection index, determining the optimal IP address with the highest comprehensive score, and recording the DNS server address of the optimal IP address; and establishing a network connection path according to the optimal IP address, and providing a DNS server address of the optimal IP address for a service layer. According to the method and the device, the cross-platform maintenance cost can be reduced, the real-time performance and the performance overhead are considered, the path is dynamically optimized, and rapid connection switching is realized.

The invention discloses an unsupervised deep learning image splicing method for portable fundus color photo equipment. The method comprises the following steps: constructing a multi-scale feature extraction module of an image registration network; the feature matching module is used for constructing an image registration network; the multi-scale feature extraction module and the feature matching module are sequentially connected to form the constructed image registration network; constructing a shallow feature extractor; constructing a feature reconstruction module; constructing a joint generator; sequentially connecting the shallow feature extractor, the feature reconstruction module and the seam generator to form a fusion network; constructing a fusion network; connecting the image registration network and the image fusion network to form an image splicing model; collecting data; preprocessing the data; obtaining a trained image registration network; obtaining a trained image fusion network; forming a fundus image splicing model by using the trained image registration network and the trained image fusion network; and splicing the images by using the eye fundus image splicing model. According to the method, a high-quality fundus spliced image can be efficiently generated.

A live mapping framework may be generated for large enterprise- wide networks and systems. The live mapping framework includes identification of key attributes of every device connected to the network. The key attributes may include device type, installed software packages, network connection information, device usage information, and other information. Frequent updates to the live mapping framework and trending over time enable the identification of system vulnerabilities. Generative and explainable Al may additional be used for penetration testing of virtual replicas of the enterprise- wide networks, leading to the generation of solution sets addressing the identified vulnerabilities.

The invention relates to an efficient homomorphic ciphertext multiplication method based on NTRU, and belongs to the field of information security. The method is implemented by an efficient homomorphic ciphertext multiplication system based on the NTRU, and the efficient homomorphic ciphertext multiplication system based on the NTRU is formed by connecting a client and a server through a network; the method comprises the following steps: S1, setting related parameters of an NTRU encryption scheme; s2, generating a public and private key pair; s3, encoding the plaintext vector; s4, encrypting the plaintext polynomial by using the public key; s5, the client sends a ciphertext and adds a label; s6, according to the requirement of the calculation task, homomorphic operation is executed, and a label is calculated; s7, sending the ciphertext and the label to the client; and S8, decrypting the ciphertext. According to the homomorphic multiplication method without relinearization, the decryption key is determined by adding the label to the ciphertext, so that the calculation complexity is greatly reduced, and the homomorphic multiplication efficiency can be effectively improved.

A machine comprising a transceiver, one or more processors, and memory performs communications operations via one or more user devices. The communications operations include establishing via the transceiver a connection with a first user device, and transmitting first information to the first user device. Upon not receiving an acknowledgement that the first information was received by a server, the machine maintains the first information in the memory and establishes, via the transceiver, a connection with a second user device, appends the first information to second information, and transmits the first and second information to the second user device. Upon receiving acknowledgement that the first and second information were received by a server, the offline retail machine deletes the first and second information.

A system for an automated real-time digital identity verification based on predictive analytics of user identity data, including a processor of a digital identity verification (DIV) node configured to host a machine learning (ML) module and connected to at least one verifier entity node over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: acquire an identity verification request associated with a user from the at least one verifier entity node, wherein the identity verification request comprising user biographic data and a truncated facial biometric hash extracted from a digital identity feature embedded into an identification document of the user and user biographic data acquired from the identification document and a facial biometric hash generated from the user identification document; parse the identity verification request to derive a plurality of key features; generate at least one feature vector based on the plurality of the key features; and provide the at least one feature vector to the ML module configured to execute a predictive model based on underlying neural network configured to produce at least one user identity verification parameter for generation of a user identity verification verdict.

To provide a technique for supporting structural calculation of a deck plate used in a roof structure, which can reduce the complexity of management by a user.SOLUTION: An information processing system 1 includes an information processing terminal 12 having a display device 305 and a server 11 connected to the information processing terminal 12 via a communication network 13A. The server 11 includes: a reception unit 21 configured to receive deck plate information 200; a storage unit 20; a calculation unit 22 configured to perform structural calculation of the deck plate based on the deck plate information 200 and store calculation results in the storage unit 20; and an output unit 23 configured to transmit the calculation results to the information processing terminal 12 and cause the display device 305 to display the calculation results. The deck plate information 200 includes information 200C on material, cross-sectional performance, beam support method, support distance, and acting load of the deck plate.SELECTED DRAWING: Figure 2

An electronic system includes a monitored device and a management device. The monitored device operates according to an operating system and generates a display image. The management device is connected to the monitored device through a communication network. The management device periodically receives, from the monitored device, screen image data corresponding to the display image, determines whether an error that causes the operating system of the monitored device to become inoperable occurs in the operating system of the monitored device based on a network connection state with the monitored device, determines a type of the error based on error determination factors and an analysis result of the screen image data, and transfers, to the monitored device, a request indicating follow-up actions to take to resolve the error, the follow-up actions corresponding to the type of the error.

Embodiments of the application provide a distress information sending method and system. By setting automatic switching of various communication means, a user may be rescued in time. The method includes a terminal device obtains first distress information, where the first distress information includes at least one of adverse sign information or positioning information of a user. The terminal device selects a first communication network from a plurality of communication networks in a preset sequence. When the terminal device can be connected to the rescue processing device by using the first communication network, the terminal device sends the first distress information to the rescue processing device by using the first communication network. Alternatively, when the terminal device cannot be connected to the rescue processing device by using the first communication network, the terminal device reselects a new first communication network from the plurality of communication networks in the preset sequence.

The invention relates to the technical field of agricultural facility management, in particular to an intelligent agricultural facility management method and system based on intelligent perception. The method comprises the following steps: acquiring farmland area survey information data; performing hierarchical sensor node deployment on the farmland area survey information data to generate farmland sensor node deployment data; communication network connection is carried out according to the farmland sensor node deployment data, so that a farmland sensing network is generated, and the farmland sensing network comprises a plurality of farmland sensor nodes; performing farmland state region plot division on the farmland sensing node layout planning data through a farmland sensing network to generate a normal farmland state region plot and an abnormal farmland state region plot; performing water content calculation on the abnormal farmland state area plot to obtain abnormal farmland area water content data. According to the invention, through refined farmland perception, irrigation prediction, facility adjustment and strategy optimization, the efficiency of intelligent agricultural facility management is improved.

A processing system deployed in a carrier transport vehicle may establish a wireless communication session with a mobile device of a user, assign a zone of the carrier transport vehicle to the user, the zone including a plurality of network-connected devices, obtain a user profile from the mobile device of the user, determine at least one biometric sensor accessible via the mobile device of the user, obtain biometric data of the user from the at least one biometric sensor accessible via the mobile device of the user, determine a condition of the user based upon the biometric data, identify at least one adjustment to at least one of the plurality of network-connected devices in response to the condition of the user that is determined and the user profile, and apply the at least one adjustment to the at least one of the plurality of network-connected devices.

A computer management system and a computer management method for remotely monitoring one or more computers are provided. The computer management system comprises a management server, an out-of-band hardware module, installed on each of the one or more computers, and an administration device. The management server is configured to monitor and control of the one or more computers. The out-of-band hardware module is configured to act as a client to connect to the management server via a network and monitor and control the respective computer in accordance with instructions sent from the management server. The administration device is configured to act as a client to connect to the management server via the network and instruct the out-of-band hardware module to perform the monitoring and controlling of the respective computer through the management server.

Monitoring is performed for the activation of a set of one or more previously attached Kprobes. A determination is made that a strategy pattern match has occurred. The strategy pattern comprises a set of one or more behaviors including the activation of the at least one Kprobe included in the set of Kprobes. A remedial action is taken in response to the determination. Examples of such remedial actions include generating an alert and terminating a network connection.

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.

Systems, methods, and computer-readable storage media of configuring digital currency nodes utilizing a one-tier model or two-tier model. One method includes transmitting, via an application provider system, an installation request including authentication information, downloading, by the user device, a digital wallet application, and installing, by the user device, the digital wallet application based on one or more system requirements, wherein installing includes verifying the user device meets the one or more system requirements, generating a public and private key pair, hardening the user device, storing and configuring the digital wallet application, and authenticating the digital wallet application. The method further includes establishing, via a private network, a private network connection associated with digital currency issuance. Another method includes transmitting a registration request, receiving a software package including a software appliance and executable code, installing the software appliance and establishing a private network connection associated with digital currency issuance.

The invention discloses an intelligent sensing network connection monitoring method and system for a high-low voltage switch cabinet, and belongs to the technical field of electrical monitoring. The method comprises the following steps: acquiring physical quantity data of the high-low voltage switch cabinet according to an adaptive data acquisition period; generating a high-precision original data set through a signal processing algorithm and a data fusion algorithm; according to the high-precision original data set, the operation state of the high-low voltage switch cabinet is evaluated through a state evaluation algorithm, and a state evaluation result set is generated; and outputting a prediction result set of the high-low voltage switch cabinet through a state prediction method according to the state evaluation result set. According to the invention, on the basis of self-adaptive data acquisition, a state prediction method is adopted to accurately predict the fault occurrence probability of the high-low voltage switch cabinet according to the state evaluation result set, so that the effects of planning an operation and maintenance strategy in advance and ensuring stable operation of a power system are realized; the problem that the high-low voltage switch cabinet state prediction precision is low in the prior art is solved.

The invention relates to an FTTR network automatic fault detection and recovery method and system, and belongs to the technical field of network communication, and the method comprises the steps: constructing an FTTR network topology structure based on network nodes of each room; collecting network connection quality data of each network node; calculating a current state parameter of each network node and carrying out anomaly analysis; marking the network nodes with abnormal current state parameters as potential abnormal nodes, and determining corresponding abnormal levels; marking the potential abnormal nodes of which the abnormal levels exceed a preset level threshold value as current fault nodes; performing fault mode analysis on the current fault node, and determining a fault source; detecting a standby network path according to the current network path of the fault source, and switching the current network path of the fault source to the standby network path; and obtaining recovery result feedback information and updating the recovery result feedback information to the node fault historical database. According to the invention, efficient and accurate fault detection and recovery in the FTTR network can be realized, and the stability and reliability of the network are improved.