508 results about "Network conditions" patented technology

The invention belongs to the technical field of computing power distribution, and particularly relates to a dynamic computing power distribution method and system based on reinforcement learning, and the method comprises the following specific steps: S1, covering cloud, edge and end full-node scenes, and collecting computing power resource states, task demand features and cross-domain network condition data in real time; s2, on the basis of standardized data output by a cross-domain computing power sensing module, by constructing a state space fusing computing power, tasks and a network, defining an action space of computing power scheduling direction and proportion, and designing a multi-target reward function for balancing the resource utilization rate, the task satisfaction rate and long-term conflict avoidance; and realizing self-learning and self-iteration scheduling strategy generation based on a reinforcement learning algorithm. According to the invention, the reinforcement learning agent autonomously learns the computing power demand of the emergency scene and the new type of task, the rule does not need to be manually preset and modified, and the method has the advantage of realizing dynamic adaptation of computing power distribution to complex and changeable scenes.

The invention discloses a real-time state synchronization method and system, electronic equipment and a storage medium, and belongs to the technical field of network communication.The method comprises the steps that in response to a connection request from a client side, persistent connection with the client side is established, and a state subscription relation is recorded; performing semantic analysis on the state change event from the business service layer to determine a push priority; a corresponding target intelligent gateway is found according to the target object identifier of the state change event, a pushing strategy is executed by fusing the client network condition maintained by the target intelligent gateway and the pushing priority, and the state is updated and synchronized to the related client; and monitoring the health state of the persistent connection, and when the connection is abnormal and recovered, performing state synchronization with the client by the intelligent gateway based on the stored incremental state information. According to the invention, the problems of unreliable connection, redundant pushing and poor expansibility of a traditional SSE scheme are solved, and high-reliability, high-efficiency and horizontally-expandable real-time state synchronization is realized.

Conditions are identified in a telecommunications network. Based on the condition, a data store is accessed to identify an associated executable plan for responding to the detected anomaly. The executable plan is generated by an AI agent based on a structured operator-readable document comprising operator-executable procedures. The executable plan comprises a series of operations that are executable by an execution component.

The invention discloses a cloud-edge collaborative intelligent control edge computing terminal, and particularly relates to the technical field of edge computing, the terminal comprises an acquisition management module, a topology analysis module, a rule management module and a disconnection recovery module; the acquisition management module establishes a unified time base, performs event packaging on acquired data and control actions, and implements local sequential caching and uploading scheduling in a disconnection scene; the topology analysis module extracts consistency features and identifies topology change doubtful points; the rule management module realizes topology version configuration, versioning management of a linkage rule set and hardware resource mapping verification; and the disconnection recovery module completes disconnection detection, cache playback and progressive control recovery in the link interruption and recovery process. Therefore, under the condition that the network is unstable, the control state is kept consistent with the event time axis, synchronous reconciliation with the cloud management platform is carried out after the link is recovered, and the method is suitable for collection, in-situ linkage control and cooperative operation and maintenance of distributed sites such as water service pipe networks and agricultural trunk canals.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating content items based on source document metadata using a generative neural network. One of the methods include: receiving, from a user, a request to generate a content item using a generative neural network conditioned on a context input, wherein the context input comprises content derived from a source electronic document; obtaining metadata associated with the source electronic document; generating a prompt for the generative neural network based on the context input and the metadata associated with the source electronic document; processing the prompt using the generative neural network to generate the content item; and providing the content item for presentation to the user.

The invention relates to the technical field of wireless communication, in particular to a public network interphone with a quantum chip. According to the interphone, a master control module and a quantum security chip work cooperatively, a quantum random number generator is used for dynamically deriving a session key, and offline security distribution of a group master key is realized by encrypting a two-dimensional code; in a communication process, a system adaptively switches a voice coding mode according to a network condition, end-to-end authentication encryption is carried out on voice data by using a hardware encryption engine, and low-delay transmission is guaranteed through a network priority mark; the device establishes a complete key life cycle management mechanism, supports regular update and forward security of session keys and instant update and backward security of a group master key when members change, and ensures that all key operations are completed in a quantum chip. According to the invention, various eavesdropping and tampering attacks are effectively resisted, and safe, real-time and clear high-confidentiality voice communication in a public network environment is realized.

The invention provides a virtual digital human rendering method and device, electronic equipment and a storage medium, and the method comprises the steps: determining a current video frame under the condition that a network is determined to enter a reference state, and enabling the current video frame to have a timestamp; according to the timestamp and the action data of the virtual digital human, acquiring a locally stored template video frame and pre-stored data of the template video frame; rendering the virtual digital human in the template video frame according to pre-stored data to obtain a repaired video stream; and playing the restored video stream. The technical problems that in the prior art, when network conditions are worsened, playing of the digital human in a video stream is blocked, and rendering fluency of the digital human is poor are solved.

A distributed system and method for compressing and restoring data across edge computing devices and cloud infrastructure is disclosed. The system dynamically adjusts compression based on available computing resources, network conditions, and now energy constraints. Edge devices monitor power consumption and battery levels, optimizing compression parameters to extend battery life while maintaining data quality. A workload scheduler prioritizes tasks based on energy availability, offloading intensive processing to cloud infrastructure when necessary. The system utilizes an energy-aware coordination layer to balance workloads across multiple devices, ensuring efficient data flow and long-term operational stability. Homomorphic operations allow secure distributed processing on compressed data, while an adaptive neural upsampler enhances reconstructed outputs. By integrating energy optimization, the system improves performance and longevity of edge devices in power-limited environments.

Systems and methods are described for automated anomaly detection in computer networks using a dynamic network graph. Network data describing communications among computing entities are received, and a dynamic graph is constructed and maintained whose nodes represent the entities and whose edges represent observed communications. Behavior characteristics are computed for the nodes, and the nodes are clustered using a clustering algorithm to obtain cluster assignments. Anomalies are detected by identifying nodes whose behavior characteristics deviate from those of their assigned clusters, and alerts or security actions are generated in response. The system supports incremental updates to graph structure and cluster assignments as network conditions evolve, improving detection latency and accuracy.

A method and apparatus for dynamic orchestration of distributed artificial intelligence in a network including a user device, an edge server, and a cloud server. The method includes receiving, at the user device, input data comprising at least one of audio, video, image, or text; identifying a requested operation based on the input data; obtaining dynamic environmental information of the network relating to computing resources and network conditions of the user device and at least one of the edge server or the cloud server; determining, based on the requested operation and the dynamic environmental information of the network, a distributed allocation of the requested operation among the user device, the edge server, and the cloud server; and orchestrating the requested operation according to the distributed allocation.

A method for enhancing security of data, code, and / or network components by introducing a layer of integrity management that adapts to changing conditions within a network. The method may include use of a processor to perform intrusion analysis using an intrusion detection system and / or prevention system, behavioral analysis by accessing user logs to see if behavior is within a normal range, and / or geolocation analysis to see if the piece of data, section of code, and / or network component are within their usual surroundings. When there is a concern of a data breach, leak, and / or hack, the processor may initiate a response that detects other pieces of data, sections of code, and / or network components in proximity, initiates a self-destruct mechanism, triggers hardware to perform outside of operational specifications, and contains the spread of the data breach, leak, and / or hack through shutdown procedures, isolating affected systems, and / or alerting security personnel.

The invention relates to a communication guarantee method and device for a traffic police emergency command scene and electronic equipment. The method comprises the following steps: monitoring network state parameters of at least two heterogeneous links in real time; based on the network state parameters, communication quality scores of all links are continuously calculated through a dynamic quality evaluation model, and the dynamic quality evaluation model updates the communication quality scores based on real-time changes of the network state parameters; according to the communication quality score, adaptively selecting the current optimal transmission link to perform data transmission; in the data transmission process, when it is detected that data transmission based on the primary protocol fails, protocol switching operation is automatically triggered, and the primary protocol is switched to the degradation protocol; and in response to the protocol switching operation, performing data screening processing in a linkage manner, extracting a key data frame from the to-be-transmitted service data, and transmitting the key data frame through a degradation protocol and the selected current optimal transmission link. According to the invention, the end-to-end communication continuity of the emergency command key system under the extreme network condition is ensured.

The invention discloses a cold chain data acquisition terminal based on the Internet of Things technology and a use method, the cold chain data acquisition terminal comprises an equipment end and a system end, the equipment end comprises a data acquisition unit and a vehicle-mounted terminal which are installed on a cold chain logistics box and a cold chain logistics vehicle, an energy storage unit is arranged in the vehicle-mounted terminal, and a communication module is connected with the system end through the vehicle-mounted terminal. The system end comprises a path planning module, a data processing module and a comprehensive database; the vehicle-mounted terminal is internally provided with a data acquisition module, an energy storage unit, a cache module, a positioning module and a communication module, the cold-chain logistics route is divided into a plurality of geographic sections through the route planning module, and differentiated data uploading strategies and acquisition frequencies are preset according to network conditions of different sections; and meanwhile, reliable storage and intelligent return of network disconnection data are realized in combination with the cache module, full-link and high-reliability acquisition and transmission of environmental parameters in the cold-chain transportation process are realized, and loss of key data is avoided.

Various solutions for Radio Resource Management (RRM) relaxation and offloading with respect to an apparatus in mobile communications are described. The apparatus may determine a network condition. The apparatus may determine a specific state of a plurality of states based on the network condition. The specific state may correspond to an RRM stage. The apparatus may control a Main Radio (MR) and a Low-power Receiver (LR) based on the RRM stage.

The invention discloses a file transmission method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a to-be-transmitted file and an initial transmission strategy as a current transmission strategy, transmitting the to-be-transmitted file according to the current transmission strategy, in the transmission process of the to-be-transmitted file, the transmission index for transmitting the to-be-transmitted file is monitored, the current transmission strategy is dynamically adjusted according to the transmission index to form a new current transmission strategy, and the to-be-transmitted file is transmitted according to the new current transmission strategy. According to the method, the technical problems of low file transmission efficiency, poor reliability and complex operation and maintenance caused by the fact that a fixed file transmission strategy cannot adapt to dynamically changing network conditions, file characteristics and system loads are solved, and the purpose of improving the file transmission efficiency through multi-dimensional real-time sensing and dynamic self-adaptive transmission strategy adjustment is achieved. The file transmission efficiency is improved; and the operation and maintenance complexity is reduced.

The invention discloses a low-delay adaptive code rate control system for a meteorological monitoring video stream, and relates to the technical field of adaptive code rate control in video stream media transmission, and the system comprises a content importance analysis module which is used for carrying out the real-time analysis of a video block to be transmitted, generating a content importance score representing the meteorological information value; and the decision arbitration module is connected with the content importance analysis module and is used for receiving the content importance score, the network state information and the buffer area state information. According to the low-delay adaptive code rate control system for the meteorological monitoring video stream, bandwidth resources can be allocated according to the difference of meteorological information values of video contents, the quality of key monitoring pictures is guaranteed preferentially when network conditions fluctuate, unnecessary code rate switching is inhibited actively through internal look-ahead simulation and risk assessment, and the quality of the meteorological monitoring video stream is improved. Therefore, balance between continuous and clear transmission of high-value information and overall watching fluency is realized in a complex network environment.

A system for optimizing performance, managing network traffic, and enhancing user experience includes a host device a cloud computing server and controllers. The controllers execute control logic including a prediction application (PA) that obtains sensor data from the sensors, sends control and user plane data to infrastructure, and to the cloud computing servers, and accesses prior knowledge data stored within memory of the cloud computing servers. Additional control logic performs a Granger causality test on the user and control plane data, and utilizes a prediction model to generate a prediction from fused user and control plane data. A prediction verifier is applied to the prediction from the prediction model, and the PA enables the host device to adapt to dynamic wireless communications network conditions.

A multimode cabinet intelligent management terminal for narrowband Internet of Things communication comprises an environment monitoring module, a load sensing module, a protocol switching module and a bandwidth scheduling module. The environment monitoring module obtains key indexes of network signal strength, delay and packet loss rate and calculates environment data; the load sensing module collects CPU usage rate and memory usage condition load data, evaluates the load state of an Internet of Things sensor node, and generates load data and environment data. The protocol switching module dynamically evaluates network environment and equipment load changes, predicts a network environment change trend by adopting a weighted decision method, and screens an optimal protocol based on a protocol switching strategy; and the bandwidth scheduling module performs optimal allocation on the bandwidth, automatically adjusts bandwidth resources, and performs release and reallocation by monitoring the network condition in real time to obtain bandwidth resource information. The invention provides a multimode cabinet intelligent management terminal for narrowband Internet of Things communication. Accurate point prediction and reliable interval prediction and probability prediction of wind power are realized.

The invention relates to a computing power network resource scheduling method based on multi-level collaborative overall planning, belongs to the technical field of computing power network resource scheduling, and provides a computing power multi-level scheduling strategy and a multi-level collaborative overall planning computing power network resource scheduling method according to the attribute relation between users and a computing power center. A network node screening method with local computing power priority, special area supplementation and network overall planning is constructed, a multi-target optimization resource scheduling method with the aim of comprehensively considering the resource utilization rate, the network condition and the lowest cost is further provided, and a traditional deep reinforcement learning algorithm is improved by adding a multi-target reward function mechanism based on dynamic weight. The scheduling strategy can adaptively balance the resource utilization rate, the network condition, the resource cost and other targets, so as to determine the optimally matched computing power node, and realize the local, special area and computing network multi-level and multi-area resource scheduling method.

The invention discloses a congestion control method for dynamically adjusting a code rate growth factor based on reinforcement learning. The method comprises the following steps: step 1, collecting network feedback information in real time; 2, recording and feature extraction are carried out on the network state data of more than two continuous periods by adopting a sliding time window mechanism, and a multi-dimensional time sequence state vector capable of reflecting short-term dynamic change of the network is constructed; step 3, predicting an optimal code rate growth factor by the reinforcement learning model according to the current network condition; and step 4, respectively inputting the optimal code rate growth factor into a packet loss controller and a time delay controller, independently calculating a target code rate by the packet loss controller and the time delay controller according to respective judgment logics, and finally selecting a smaller value in outputs of the packet loss controller and the time delay controller as an actual sending code rate. According to the method, the problems of slow growth of the traditional GCC in a bandwidth recovery stage and overshoot instability of a learning algorithm can be effectively solved.

The invention provides a map rendering method and device, equipment and a storage medium, and the method comprises the steps: obtaining multiple real-time data of equipment where a client is located in the operation process of the client, and the real-time data comprises map request data; for each performance dimension, at least one sub-score of the performance dimension is calculated according to the real-time data, and the performance dimension comprises the network condition, the equipment performance and the data complexity; obtaining a plurality of existing rendering strategies, wherein each rendering strategy comprises a rendering mode and a performance score calculation mode; for each rendering mode, calculating the adaptability score of the rendering mode according to the calculation mode of the performance score of each performance dimension and the sub-score of the performance dimension, and taking the rendering mode with the highest adaptability score as a target rendering mode; according to the method, switching is carried out on the basis of the current rendering mode and the target rendering mode to achieve map rendering, and the map rendering system has the environment self-adaptive capacity by dynamically sensing data of multiple performance dimensions.

The invention provides a multi-node data traffic intelligent regulation and control system for an edge computing platform. The multi-node data traffic intelligent regulation and control system comprises an edge platform server, a node intelligent classification module, a traffic sensing and monitoring module and an intelligent regulation and control module, the edge platform server interacts with the node intelligent classification module and is used for executing global data routing and task distribution; the node intelligent classification module dynamically divides nodes into real-time response nodes, large data volume nodes, energy limited nodes and intelligent cooperative nodes according to data generation rates, processing capabilities, energy states and network condition attributes of the nodes; the flow sensing and monitoring module monitors the data flow states of all nodes in real time, monitored indexes comprise the bandwidth utilization rate, data packet jitter, the node energy level, the data loss rate and the calculation load, and monitored data are sent to the intelligent regulation and control module in a timing mode.

The invention discloses a video stream intelligent processing method and system based on cloud edge collaboration, and the method comprises the steps: an edge end collects an image according to the original reasoning resolution of an AI model, and pushes the image to a server after compression; the server processes two paths of data streams in parallel, one path directly inputs a native resolution image into a GPU acceleration model for real-time reasoning, generates a control instruction and feeds back the control instruction to an edge end, and the other path packages a low resolution image with a detection result into a monitoring video stream; and the edge end executes the control instruction and dynamically adjusts the collection frame rate based on the inter-frame difference. By implementing resolution decoupling in the links of acquisition, reasoning and display, millisecond-level AI reasoning and high-definition monitoring experience under the condition of low bandwidth occupation are realized, meanwhile, different scenes and network conditions are adapted through dynamic frame rate adjustment, and the problems of real-time performance, accuracy and visualization of video stream intelligent processing in a resource limited environment are effectively solved.

The invention relates to a video lossless compression transmission and storage method and device. The method comprises the following steps: analyzing an obtained video frame sequence; executing quality pre-verification, and if yes, determining that the video frame sequence is a first frame sequence; based on the scene detection target, determining a target attention area in the plurality of first sequence frames; selecting a plurality of target feature frames from the plurality of first sequence frames to execute importance evaluation, and determining corresponding feature levels; mapping the plurality of target feature frames into a one-dimensional pixel sequence; dividing the one-dimensional pixel sequence into a plurality of pixel segments, and performing cross-frame aggregation on the plurality of pixel segments according to the feature level to obtain a plurality of feature sequences; and carrying out hierarchical compression coding on the plurality of feature sequences. By adopting the method, the video can be subjected to quality pre-verification, the target concerned area can be adaptively identified, and differential compression and priority transmission are performed, so that the transmission quality and the storage efficiency of the inspection video can be improved in a complex electromagnetic environment and a limited network condition.

The invention discloses a GB / T28181 monitoring video stream efficient transmission and decoding method based on HTTP3 (Hyper Text Transfer Protocol 3) and electronic equipment. According to the method, the problems of high delay and high resource consumption of a traditional GB / T 28181 video monitoring Web end playing scheme based on WebSocket are solved by utilizing a new generation Web API (Application Program Interface) of WebTransport and WebCodec. According to the invention, through the UDP transmission capability of WebTransport based on HTTP / 3, the direct transmission of the RTP data packet from the server to the Web client is realized, and protocol conversion does not need to be carried out; the WebCodes is adopted to realize efficient hardware acceleration decoding of the client; and meanwhile, a multiplexing real-time monitoring and self-adaptive video quality control mechanism is provided. Compared with the traditional scheme, the method has the advantages that the end-to-end delay is remarkably reduced, the resource consumption of the server is reduced, the concurrency capability is improved, the video parameters can be dynamically adjusted according to the network condition, and the method is suitable for video monitoring application in various network environments.

The invention provides a login verification system based on multi-terminal unification, which comprises a data synchronization module, a data verification module and a secure transmission module, and is characterized in that the data synchronization system predicts to-be-synchronized data based on a user historical behavior mode, and selects a synchronization mode for data synchronization according to real-time network quality; the data verification module is used for generating a unique version identifier for the data change and carrying out conflict detection and judgment on the data change; the secure transmission module is used for encrypting data, performing hierarchical control on sensitive data and establishing a secure synchronization channel for data synchronization; according to the invention, through user behavior prediction and a network adaptive strategy, data synchronization can be effectively carried out under different network conditions, and the accuracy and security of data synchronization can be improved through the data verification module and the security transmission module.

A system is provided for managing and coordinating communication between STT / TTS systems and these systems during online conferences, and for mitigating connectivity issues that may occur during online conferences to provide a seamless and reliable conference experience with real-time captioning and / or presented audio. Initially, online conference communication is transmitted via a lossy connectionless protocol / channel. Then, in response to detected connectivity issues with one or more systems involved in the online conference (e.g., which may cause jitter or packet loss), instructions are dynamically generated and processed to enable one or more of the connected systems to utilize a more reliable connection / protocol (such as a connection-oriented protocol) to transmit and / or process the online conference content. Codecs are used at the system level when it is necessary to convert speech to text with associated speech attribute information and to convert text to speech.

This invention relates to the fields of IoT sensing, smart wearable devices, and home safety monitoring, providing a fall detection and intelligent alarm device for elderly people living alone. The device includes a wearable main module, a microcontroller unit, a multi-axis attitude sensing unit, a dual-mode wireless communication unit, a local audible and visual alarm unit, a manual emergency help button, a power management unit, and an offline storage unit. Each functional unit is electrically connected to the microcontroller unit. The device is suitable for rural areas with weak network conditions and features fall detection, emergency help, tiered alarm linkage, and autonomous operation during network and power outages, supporting zero-operation use. It achieves accurate fall recognition, seamless zero-operation use, reliable alarm information transmission, multi-level linkage for rapid rescue, and autonomous operation during network and power outages. It is highly compatible with the usage habits of elderly people living alone and meets the needs of rural areas with weak network conditions and unstable power supply. It can also be integrated into a comprehensive management system for large-scale deployment.

The invention discloses a Web application low-performance terminal adaptation method and system based on layered rendering, and belongs to the technical field of Web graphic rendering and cloud computing crossing. Performing layered rendering and publishing; and subscribing and synthesizing by a terminal. According to the method, a'one-step 'full-frame transmission mode is abandoned, the computing load is optimally distributed between the cloud and the terminal by performing structured layering on the rendering content at the cloud and dynamically adapting the transmission strategy according to the terminal performance and the network condition, and thus the dependence on the network bandwidth and the requirement on the terminal performance are greatly reduced.

A method for common signal transmission in a system comprising plurality of base stations (200) where base stations (200) are capable of transmitting common signal and information signal, plurality of user equipment (300) which are capable of communicate communicating with the base stations (200) and a network controller (100) for controlling the operation of base stations (200) characterized in that comprising the steps of: receiving, by user equipment, information signals comprising instructions on how and when to trigger the base stations; selecting, by the network controller (100), operation mode of base stations (200) among an inactive mode where the base station (200) hold operation of transmitting common signals until a user equipment (300) or the network controller (100) triggers common signaling; an active mode where common signaling is realized and where base stations' (200) transmitting and receiving capabilities are adjusted for covering the coverage area of the base stations (200) that operate in inactive mode; monitoring, by the network controller (100), network conditions; performing selection of operation mode based on monitoring results.