41results about How to "Reduce transmission delay" patented technology

This invention discloses a low-latency UAV-assisted dynamic distribution method for panoramic video streams based on viewport prediction, belonging to the interdisciplinary field of mobile communication and immersive multimedia transmission. By constructing a multi-level forward-looking virtual queue model, future viewport data requests are mapped to current weighted accumulated potential energy, thereby driving the system to perform traffic temporal shaping when channel conditions are favorable. In other words, through proactive resource scheduling, future transmission tasks are shifted to the present for completion, achieving a proactive service mode for data waiting for users. Simultaneously, in conjunction with a trap-aware hierarchical backtracking optimization strategy, this invention can guide UAVs to actively avoid local optimal deadlocks, ensuring that the optimal air-to-ground transmission link is maintained in dynamic environments, thereby fundamentally eliminating queuing time and guaranteeing a low-latency, smooth playback experience for panoramic video.

The present application relates to the technical field of data transmission, and specifically provides a data transmission method and system for solid waste sorting equipment, a terminal and a storage medium, comprising: adding basic classification marks and dynamic priority marks to data packets according to the function types of sorting data, and dividing the data into synchronous control flow, real-time event flow, process awareness flow and background management flow; a data source end acquires link state information before sending, and adaptively adjusts the dynamic priority of the real-time event flow; a network switch performs mixed scheduling transmission on the data packets based on time-aware shaping, credit shaping and preemption mechanism, wherein the preemption of low-priority queues is only allowed when the data packets of the highest-priority sub-queue carry the highest dynamic priority mark. Through the cooperative mechanism of basic classification and dynamic priority, the present application realizes fine classification transmission of heterogeneous data flow, solves the problem that key instructions are easily affected by network congestion, and effectively reduces transmission delay and jitter.

The application discloses a smart community police management system and method based on Internet of Things security, and belongs to the technical field of smart communities, and solves the problem that existing system data processing cannot utilize edge computing nodes for low-delay real-time analysis, and cannot meet timely early warning requirements, the method comprising preprocessing of multi-source heterogeneous community monitoring information, analysis and processing of the community monitoring information based on edge computing, and generation of a risk propagation path in combination with front-end analysis results and heterogeneity characteristics; in the application, analysis and processing of the community monitoring information based on edge computing avoids the delay of centralized processing, can quickly trigger early warning in the early stage of a risk event, thereby gaining golden disposal time for risk event disposal, and a risk analysis model realizes a leap from single-node anomaly detection to composite risk quantification through multi-dimensional feature fusion and dynamic space-time reasoning, and realizes multi-dimensional feature fusion and dynamic reasoning capability of the risk event.

This application relates to the field of natural language processing, and more particularly to a method for ultra-long context tensor parallel incremental attention and differential compression transmission. It employs a multi-level precision sliding window attention mechanism, dynamically allocating precision levels such as fp16 / int8 / int4 based on the distance between the window and the current computation position, and the information entropy of the window content. A tensor parallel incremental attention engine enables cross-GPU / node incremental attention computation and asynchronous All-Reduce synchronization, improving computational efficiency. Semantic differential compression transmission technology is used, transmitting only the differential data based on similarity detection, significantly reducing cross-node transmission overhead. Combined with an extreme performance optimization and security control strategy, a balance between performance and security is achieved through hardware monitoring and dynamic power consumption / frequency adjustment. This invention can significantly reduce memory usage and transmission overhead in ultra-long context processing, improve computational efficiency and hardware utilization, enhance the understanding ability of large models for long texts, adapt to heterogeneous hardware environments, and is suitable for large model inference and training scenarios.

The application provides a resource allocation method and device, electronic equipment and a readable storage medium, comprising: obtaining a first target function and a constraint condition corresponding to the first target function, the first target function being associated with total throughput and transmission delay of a communication channel; determining a target channel ratio of the communication channel based on the first target function and the constraint condition; determining a first ratio of an orthogonal channel and a second ratio of a shared channel in the communication channel based on the target channel ratio; determining resource allocation parameters of at least one V2I link based on the first ratio and pre-acquired communication channel parameters; and determining target transmission power of each link in the at least one V2I link and the at least one V2V link based on the first ratio, the second ratio, the resource allocation parameters and the first target function, so that the value of the first target function is minimized under the target channel ratio, the resource allocation parameters and the target transmission power. The application can reduce data transmission delay.

The application relates to an active cache routing method and system of a satellite content distribution network, the satellite content distribution network comprising at least one satellite node. The method comprises: extracting first semantic information features of distributed content and second semantic information features of historical popular content by using a deep learning model; calculating semantic similarity between the first semantic information features and the second semantic information features; calculating a satellite semantic cache priority value of a satellite node corresponding to the distributed content according to the semantic similarity; and planning an active cache routing path of the distributed content according to the satellite semantic cache priority value of each satellite node. The application can enable the satellite to automatically make a cache decision of the distributed content in the content distribution process, and improve the efficiency of active cache by combining content distribution and cache deployment.

This invention relates to the field of power transmission line monitoring and early warning technology, specifically an intelligent bird monitoring device and risk warning method for power transmission lines. The device includes an intelligent bird monitoring device for power transmission lines and a risk warning method using the device. The monitoring device comprises an image acquisition module, a thermal sensing module, a sound acquisition module, a motion monitoring module, an edge computing module, and a power supply module. Each acquisition module is signal-connected to the edge computing module, and the power supply module provides power to all modules. Through the collaborative work of multiple modules, comprehensive and multi-dimensional monitoring of bird activity in power transmission line areas is achieved. The early warning method is implemented through five steps: data acquisition, data processing, intelligent analysis, risk assessment, and early warning output. This invention enables comprehensive and accurate monitoring and tiered early warning of bird activity in power transmission line areas, improving monitoring efficiency and early warning accuracy, and ensuring the safe and stable operation of power transmission lines.

The application discloses a front-end data compression method, device, equipment, medium and product. The method comprises the following steps: a main thread receives service data, and when a preset compression triggering condition is met, the main thread dynamically converts a pre-embedded script code string into an executable sub-thread, and the script code string comprises compression logic of a lightweight compression engine; the main thread encodes the service data and stores the service data in a binary buffer, and transfers the memory ownership of the binary buffer to the sub-thread through a message communication interface; the sub-thread creates a typed array view based on the binary buffer, calls the lightweight compression engine to compress the typed array view, generates a compression result, and transfers the memory ownership of the compression result to the main thread; and the main thread reports the compression result or locally stores the compression result. The method can realize efficient data compression in the front end, ensure smooth running of a front-end page, and reduce memory occupation and transmission delay.

This invention provides a task collaborative reasoning method, apparatus, electronic device, and medium, relating to the field of computer technology. The method includes: dividing a task arriving on a mobile device into multiple subtasks and constructing an offloading strategy for each subtask to characterize execution on the mobile device or MEC server; constructing an average overhead minimization problem for all mobile devices within a time slot for each mobile device; reconstructing the average overhead minimization problem using Lyapunov optimization theory to obtain an independent time slot policy optimization problem corresponding to the average overhead minimization problem; transforming the independent time slot policy optimization problem into a Markov decision process and solving the Markov decision process using a deep reinforcement learning algorithm to obtain the optimal offloading strategy, optimal mobile device transmission power, and optimal number of threads allocated to the MEC server for each mobile device. The invention effectively utilizes distributed computing resources and significantly improves reasoning efficiency.

The application relates to a Shenwei intelligent acceleration card system based on a Chiplet technology, a Chiplet architecture chip taking a Shenwei processor and a domestic FPGA as cores, being capable of supporting mainstream AI algorithm models and accelerating an inference process through cooperation of the powerful double-precision floating point and integer calculation power of the Shenwei processor, the powerful parallel computing capacity of the FPGA and the high-flexibility low-latency performance of the Chiplet architecture, and being applicable to domestic computers, servers, intelligent products and the like. The devices used in the application are all domestic, and have a higher self-controllable level; the Chiplet architecture designed with a PCIe interconnection bus as a core has the advantages of high transmission bandwidth, high calculation efficiency and easy realization of an inter-chip interconnection protocol; the Chiplet research and development idea based on the domestic general-purpose processor and the FPGA can be expanded according to application requirements to face different application fields.

The application discloses a distributed adaptive framing output method based on large-range remote sensing images, and relates to the technical field of remote sensing image processing. The preprocessed large-range remote sensing images are stored in a COG format, the framing size and quantity are dynamically adjusted in combination with the target area range and resolution, the tasks are distributed by a data locality perception scheduler after Z-order curve sorting, the computing nodes load the framing data with a buffer area, the framing data is interpreted by a random forest, and the buffer area is cropped, finally, the virtual data set is aggregated, efficient distributed parallel processing of the large-range images is realized, the I / O bottleneck and the computing resource limitation are effectively relieved, the context missing problem on the framing boundary is solved, the intelligent interpretation efficiency and precision are improved, and the multi-resolution on-demand rendering and elastic expansion are supported to adapt to the data scale growth.

The application discloses a network communication method and device, electronic equipment and medium, and relates to the technical field of computers. The method is applied to a first core in a heterogeneous multi-core processor. The heterogeneous multi-core processor further comprises a network controller connected with the first core. The method comprises the following steps: in the case that the network controller receives first network data, the first network data is parsed to obtain a network port corresponding to the first network data; based on the network port, a target core corresponding to the first network data in the heterogeneous multi-core processor is determined; in the case that the target core is a second core, the first network data is stored in a preset shared memory corresponding to the second core, and a first interrupt signal is generated. Through the application, each core in the heterogeneous multi-core processor can communicate with the outside through one network controller.

The application relates to the technical field of intelligent robots, solves the problems that high-end service robots in the prior art are excessively dependent on high-computing-power algorithms, leading to high cost and complex operation, and low-cost intelligent devices are single in function and lack of control logic cooperation, and cannot meet the home care needs of the elderly, and in particular relates to a home aging intelligent care auxiliary robot, which comprises a main control unit in the robot, an offline voice interaction module connected with the main control unit and used for analyzing natural language voice instructions in the state without external network connection, and an environment sensing module arranged on the robot and used for collecting state parameters of the environment where the robot is located. The application can complete the analysis of the natural language and the mapping of the control instructions in the state without the dependence on external internet connection, reduces the dependence of the system on complex cloud big model calculation and external network, greatly reduces the cost of the whole machine manufacturing and home deployment, and improves the safety of the robot in caring for the elderly at home.

This invention provides a high-precision synchronization and dynamic reconstruction control method and system for time synchronization signals, belonging to the field of time synchronization technology. The invention receives external time synchronization signals and performs level conversion and validity judgment. For valid / invalid scenarios, a weighted fusion algorithm / internal clock self-excitation is used to generate a master time base signal, improving synchronization reliability and accuracy. Based on the master time base signal, a precise timestamp is generated and periodically distributed via multicast messages. Combined with local clock closed-loop compensation and precise delay measurement on the service board, transmission delay is reduced, delay errors are eliminated, and the board and master time base are precisely aligned. The system monitors the time synchronization input source and VPX slot board status in real time, switching to a backup source and recalculating the fusion algorithm for failure scenarios, and dynamically loading time synchronization service logic for hot-swappable devices to achieve dynamic system reconstruction. Finally, a distributed output signal is generated after level conversion and distributed to the terminal, achieving high-precision synchronization and stable and reliable distribution of time synchronization signals under the VPX architecture.

This application relates to a hardware scheduling device, task scheduling method, system, chip, and electronic device. The hardware scheduling device includes on-chip memory, multiple hardware processing units, and an arbitrator. The multiple hardware processing units are all connected to the on-chip memory and are used to read scheduling instructions from the on-chip memory and send scheduling instructions. The scheduling instructions are used to schedule a subsystem in an image signal processor, so that the subsystem responds to the scheduling instructions and processes the corresponding task. The arbitrator is connected between each hardware processing unit and the image signal processor, and is used to arbitrate the scheduling instructions received simultaneously from each hardware processing unit, determine the target scheduling instruction, and send the target scheduling instruction to the image signal processor via a transmission bus. Using the above-mentioned hardware scheduling device, the entire scheduling process is completed in hardware, the scheduling delay has a high degree of determinism, effectively reducing the communication delay of signal reception and transmission, and meeting the requirements of real-time tasks.

This disclosure provides a data transmission method, apparatus, processing device, and storage medium. The method includes: responding to a transmission request for data to be transmitted, creating at least two first-type sub-connections between a terminal and a front-end server based on a predetermined protocol, wherein the transmission delay of the data to be transmitted is less than a delay threshold and / or the traffic corresponding to the data to be transmitted is less than a traffic threshold; synchronously performing the transmission of the data to be transmitted between the terminal and the front-end server on the at least two first-type sub-connections; wherein the transmission of the data to be transmitted includes sending and / or receiving the data to be transmitted; and the data to be transmitted is copied to the first-type sub-connections. This approach, on the one hand, reduces unreliable data transmission due to data loss, and on the other hand, ensures that data arrives at the front-end server in a timely manner, reducing data transmission delay caused by retransmissions.

The application provides a time synchronization system and method based on a TDMA system wireless network virtual-real joint simulation, which comprises a physical network and a virtual network simulation system, time synchronization between multiple physical nodes of the physical network is completed through radio frequency signals, and wireless communication of the TDMA system is adopted; one of the physical nodes is a gateway node, the gateway node is provided with a first interface and a second interface, the first interface is used for generating a time slot pulse signal, and the second interface is used for generating a time slot numerical signal; the virtual network simulation system communicates with the physical network, and the virtual physical network system is provided with a third interface for receiving the time slot pulse signal and a fourth interface for receiving the time slot numerical signal; wherein the time slot pulse signal carries synchronization interrupt information, the time slot numerical signal carries time slot time information, and the virtual network simulation system realizes time synchronization with the physical network through the time slot pulse signal and the time slot numerical signal. The application has high time synchronization precision and low resource consumption.

The application relates to the technical field of unmanned aerial vehicle control, in particular to an unmanned aerial vehicle juggling control method and an unmanned aerial vehicle, wherein the method comprises the following steps: acquiring dynamic parameters of an unmanned aerial vehicle and a ball and a collision recovery coefficient of a racket and the ball; constructing a simulation model of the unmanned aerial vehicle according to the dynamic parameters and the collision recovery coefficient, generating a simulation environment according to the simulation model, a pre-constructed observation space, a motion space and a reward function; training a juggling control strategy network of the unmanned aerial vehicle in the simulation environment to perform a juggling task; and deploying the trained juggling control strategy network to the unmanned aerial vehicle, and controlling the unmanned aerial vehicle to perform the juggling task through the juggling control strategy network. Therefore, the problems of low adaptability, low task success rate and limited continuous juggling times of the unmanned aerial vehicle juggling in a complex scene in the related art are solved.

A method and apparatus in a communication node used for wireless communication are disclosed. The communication node receives a first message comprising at least a first information block comprising at least a first identity associated to the first node, the first information block being indicated for data transmission in a RRC inactive state; in response to the first message being received, determines to perform data transmission in the RRC inactive state if any of a first set of conditions is not met, determines that data transmission in the RRC inactive state is not performed if each of the first set of conditions is met, the first set of conditions comprising that the first message comprises a second information block comprising at least a second identity associated to the first node, the second information block is not indicated for data transmission in the RRC inactive state.

This invention belongs to the field of communication network and data scheduling technology, and discloses a target-driven intelligent data scheduling method and system. The method includes: Step 1, when the front-end device detects a high-value target, it inserts a priority transmission marker into the data stream. After the data plane network node identifies the marker, it dynamically generates a high-priority forwarding rule locally and reports the information to the SDN controller in real time; Step 2, the SDN controller performs target matching and path management based on the reported information. When the same target moves or reappears, it performs priority retention or release operations on the old path. This invention realizes closed-loop scheduling with data plane autonomously triggering priority promotion and control plane intelligently managing priority callbacks. It eliminates the need for the SDN controller to pre-issue flow tables, reduces the control plane load, avoids bandwidth waste caused by fixed QoS policies, and ensures continuous priority transmission of video streams when targets move across devices. It is suitable for scenarios such as security monitoring.

This utility model relates to the field of audio and video equipment technology, specifically a modular audio and video repeater connection structure. It includes a housing with a detachable sealing cover on the top. Inside the housing are several repeater modules connected in series. Each repeater module has an input terminal on one side and an output terminal on the other. One end of each output terminal has a docking block, and the other end has a docking slot. Adjacent output terminals are connected via the docking block and the docking slot. The repeater modules are locked in place by a locking assembly. This modular audio and video repeater connection structure effectively solves the problem of combining repeater modules in traditional audio and video transmission equipment, demonstrating significant technical advantages. The housing contains several repeater modules that can be connected in series, allowing users to freely increase or decrease the number of repeater modules and flexibly adjust their combination according to the actual needs of signal processing capabilities and transmission distance in their usage scenarios.

This invention discloses a method and apparatus for transparent transmission of flexible Ethernet instance data, relating to the field of optical communication technology. The method includes: a transmitting end slicing a flexible Ethernet instance data stream into multiple slice packets according to an integer multiple of a preset data block unit; obtaining time interval information between adjacent slice packets, writing the time interval information into the overhead field of the corresponding slice packet, and sending the slice packet to a receiving end; the receiving end receiving the slice packet, writing the slice packet into a receive buffer, and parsing the time interval information from the overhead field of the slice packet; controlling the rate of reading data from the receive buffer based on the time interval information to restore the service rate of the flexible Ethernet instance data stream, removing the overhead information from the read data, and reassembling the remaining payload data into a continuous flexible Ethernet instance data stream. This application can transparently transmit data streams through a packet-switched system without destroying the data structure or adjusting the rate by adding or deleting idle frames.

This application provides a data processing method, apparatus, and electronic device based on artificial intelligence of things (AIIoT), relating to the field of intelligent lighting control technology. The method involves: acquiring the operational plan within the target lighting area of ​​a port; monitoring operational and environmental data in real time; comparing and analyzing the operational plan with the operational data to obtain a comparison analysis result; selecting an initial lighting strategy matching the comparison analysis result from a preset strategy library based on the comparison analysis result; adjusting the initial lighting strategy using environmental data; when the adjustment magnitude exceeds a preset magnitude threshold, the smart cloud box uploads the initial lighting strategy and environmental data to a cloud platform, where the cloud platform adjusts the strategy to obtain the target lighting strategy and distributes it to the smart cloud box; when the adjustment magnitude does not exceed the preset magnitude threshold, the smart cloud box uses the adjusted lighting strategy as the target lighting strategy and distributes it to the light pole terminal, enabling timely adjustment of the lighting strategy.

This invention discloses an industrial IoT communication method and system based on adaptive channel selection. The method includes receiving channel hopping requests from one or more devices, where each request indicates a device's intention to switch its current channel to a target channel. If the target channel requested by one device is a preferred candidate idle channel, a first instruction is sent to the device. If the target channels requested by multiple devices are all preferred candidate idle channels, for the multiple devices, the first instruction is sent to the device with the highest priority, and a second instruction is sent to each of the other devices excluding the highest-priority device. This invention can dynamically optimize channel allocation, reduce congestion, and thus improve the communication performance of the industrial IoT.

The application discloses a kind of main and backup routing methods of node trust degree evaluation and interruption adaptation in robot group coordination, the method includes: source node initiates routing request broadcast, and available path from source node to destination node is obtained by adaptive broadcast forwarding strategy;Afterwards, destination node carries out routing reply according to reverse path transmission;If the routing establishment from source node to destination node is successful, then enter the routing decision module based on Q learning algorithm;If the routing decision result selects main routing transmission strategy, then destination node enters trust degree evaluation module, interruption adaptive credible path or no credible path transmission module;If the routing decision result selects backup DTN (Delay Tolerant Networks, time delay tolerance network) routing transmission strategy or routing establishment is not successful, then destination node enters Prophet routing module;Through the main and backup routing methods of node trust degree evaluation and interruption adaptation in robot group coordination provided by the application example, the robustness and robustness of data transmission are improved.

The application discloses a kind of based on edge computing's gear controller safety control test method, comprising: collection gear controller test data and executes pre-processing, generates stage gear state sequence;Extract gear dynamics state characteristic parameters, and construct sin structure state matrix;Improved sin geometric modal decomposition is executed in edge computing node, generates gear modal evolution sequence;Dynamic envelope module based on Zonotope is constructed, and gear dynamic safety envelope sequence is recursively generated;Based on stage gear state sequence and gear modal evolution sequence, envelope crossing detection result sequence is generated;Envelope crossing detection result sequence is based on backtracking modal evolution result, and safety control test report is generated.The application realizes dynamic risk identification and safety control test function in the gear process of gear controller by introducing improved sin geometric modal decomposition method and Zonotope method.

This disclosure provides a method, apparatus, storage medium, and program product for sending V2X messages, relating to the field of communication technology, and is used to reduce the transmission latency of V2X messages and network resource consumption. The method includes: a network device receiving a first vehicle-to-everything (V2X) wireless communication message sent by a first terminal, and broadcasting the first V2X message within the service range of the first V2X broadcast service.

This invention discloses a high-speed network communication optical disc library and a data reading and storage method, including a main control unit, a Blu-ray drive assembly, an optical disc cartridge transfer device, and a disc splitting device. The main control unit coordinates the components through a system control module to perform optical disc reading, writing, transfer, and sorting. Its data conversion module processes the data stream read and written by the optical drive assembly, completes the conversion, verification, and protocol encapsulation / decapsulation of SATA format data, and communicates with the user terminal via high-speed Ethernet. The Blu-ray drive assembly includes multiple optical drive units with dual optical heads and dual SATA interfaces, enabling parallel reading and writing of single optical discs. The optical disc cartridge transfer device is responsible for optical disc transportation and information feedback, and the disc splitting device distributes optical discs to each optical drive or removes them for storage according to instructions. This invention removes the limitations of transmission distance and geographical location from the data storage system, reduces the transmission latency of user terminal instructions, improves the system's response speed to client instructions, increases the data transmission rate, and improves the reliability of each node in the system.

This application discloses an active display control device based on gallium arsenide (GaAs) optoelectronic devices. In this device, the GaAs heterojunction field-effect transistor used in the array driving unit, leveraging the material's high electron mobility and the two-dimensional electron gas structure formed by the heterojunction, can instantaneously control the luminous state of the display pixels. Furthermore, it is electrically connected to each display pixel in a one-to-one correspondence, eliminating signal lag caused by multiplexing. Additionally, the GaAs CMOS logic unit, utilizing the properties of GaAs material, can significantly reduce the signal transmission delay of logic gate circuits. Combined with the high-frequency modulation characteristics of pulse width modulation signals, it effectively improves the smoothness of dynamic image transitions. Regarding high-frequency power consumption control, the GaAs heterojunction field-effect transistor can significantly reduce Joule heat loss and static power consumption during high-frequency switching. The cascaded structure of the array driving unit and the GaAs CMOS logic unit can reduce signal attenuation and distortion at high frequencies, reducing the power consumption of the auxiliary amplifier circuit.