116 results about "Data transmission time" patented technology

The invention relates to a heterogeneous computing-based task scheduling method and device, a storage medium and equipment. The method comprises the following steps of: obtaining an inference task of a large language model; in the execution process of the reasoning task, at least based on the memory access intensity and the current reasoning stage, memory access intensive operators and calculation intensive operators in the reasoning task are recognized; allocating the memory access intensive operator to a first computing unit for executing a memory intensive task, and allocating a computing intensive operator to a second computing unit for executing a computing intensive task; obtaining estimated execution time of the two calculation units for executing the corresponding tasks and data transmission time between the two calculation units; according to the pre-estimated execution time and the data transmission time, the task starting moments of the first calculation unit and the second calculation unit are determined with the purpose of minimizing the overall execution delay of the reasoning task; and controlling the first calculation unit and the second calculation unit to asynchronously execute the corresponding tasks in parallel according to the task starting time.

The application provides a cache manager and a control component. The cache manager comprises an interface, an allocation module and a memory. The interface receives a cache allocation request and sends the cache allocation request to the allocation module. The interface receives first cache index information returned by the allocation module and outputs the first cache index information. In response to the cache allocation request, the allocation module allocates N idle memory blocks and generates the first cache index information. The memory blocks are located in a cache, N is a positive integer, and the first cache index information comprises indexes of the N memory blocks. The memory stores indexes of at least N memory blocks. The cache manager implemented by hardware replaces the software management cache in the prior art, thereby reducing the interaction times between software and hardware when allocating a cache in the control component, improving the information interaction speed inside the control component, and achieving the technical effect of reducing the data transmission time between the host and the flash memory chip.

The application discloses a kind of high-temperature forging dynamic three-dimensional measurement-oriented sliding mode fault-tolerant control methods, and specific implementation steps include: establishing the discrete-time singular perturbation Markov jump state space model of high-temperature forging measurement system;Design probability dynamic event trigger mechanism, utilize internal dynamic variable intelligent judgment data transmission time to save bandwidth resources;For possible fraud attacks and actuator failure, build the corresponding attack model and fault model;Sliding surface and sliding control rate function are constructed;Deduce the sufficient condition for guaranteeing system reachability and closed-loop system finite time boundedness;Iterative solution controller gain and dynamic trigger parameters.The application considers network security, resource-constrained and actuator degradation and other multiple constraints under the high-temperature forging dynamic three-dimensional measurement scene, while guaranteeing the system finite time stability, significantly improves the robust cooperative control ability and operation safety of measurement system.

A method for avoiding high-frequency communication conflicts in LoRa multi-node communication includes the following steps: Step 1: Constructing a star network topology for LoRa wireless nodes; Step 2: Setting up a LoRa network for data terminal nodes; Step 3: Setting up relay nodes and agreeing on a data upload time period; Step 4: Dividing the uplink transmission period of terminal nodes into multiple time slots. Each node is assigned a corresponding transmission time slot; Step 5: Assigning priorities to each terminal node, creating a table of given node sequence lists and initial state of transmitted nodes, preprocessing the data, and uploading the data from the terminal node to the relay node. This invention achieves non-interference in uplink data transmission among terminal nodes by dividing terminal node priorities into two bits and uplink data transmission time slots. Terminal nodes listen to priority data packets and create tables, ensuring that uplink data transmission among terminal nodes does not interfere with each other, urgent data is uploaded first, and the two priority data bits guarantee the integrity of node data transmission.

The invention discloses a GPU-based graph vector index construction method and device and a storage medium, and relates to the technical field of graph index construction. The method comprises the following steps: fragmenting an original data set based on a clustering algorithm to obtain a first preset number of fragmented data subsets; sending the ith fragmented data subset to the GPU, wherein i is a positive integer; constructing a local graph vector index of the ith fragmented data subset in the GPU; sending the (i + 1) th fragmented data subset to the GPU until all local graph vector indexes are obtained; and constructing a hierarchical global graph vector index according to all the local graph vector indexes. According to the method, the production line of the producer-consumer model is constructed, so that the data transmission time of the PCIe bus is completely covered by the calculation time of the GPU, the I / O bottleneck is eliminated, and the construction speed of the graph index is improved.

This invention provides a circuit and method for sampling and transmitting telemetry data from a cochlear implant, belonging to the field of telemetry technology for cochlear implants. The method amplifies the analog signal under test using a programmable gain amplifier, converts the signal into a pulse width signal using a voltage ramp generator and comparator, and then generates a short-duration step signal on the coil via an output driver to form a ringing pattern. An external device detects the interval between the step signals to reconstruct the signal magnitude. This invention eliminates the need for an analog-to-digital converter, significantly reducing power consumption and chip area, and improving data transmission efficiency. It is suitable for telemetry systems in various implantable medical devices such as cochlear implants. This invention significantly reduces the power consumption and layout area of ​​the implanted chip and shortens the single data transmission time to 48μs, improving efficiency by approximately 10 times, making it suitable for low-power implantable devices such as cochlear implants.

The application relates to a battery data transmission method and system based on dynamic priority preemption time slots, which comprises the following steps: calculating the dynamic priority of a distributed node according to the data urgency, historical channel quality and basic priority of the distributed node; pre-empting the battery data transmission time slot according to the dynamic priority to perform battery data transmission; and performing a two-stage retransmission strategy to retransmit the battery data when the data transmission fails. The application breaks through the limitation of the fixed time slot allocation of the traditional time division multiple access communication strategy and adapts to the burst communication demand; when the wireless center node based on dynamic priority preemption performs time slot allocation and battery data retransmission, the communication conflict and real-time contradiction in the dense node scene can be effectively solved through software, the reliability, real-time performance and expandability of the system are significantly improved, and the application is suitable for intelligent battery system, electric vehicle, energy storage power station and other high-performance wireless center node application scenes.

The invention belongs to the technical field of frequency spectrum prediction, and particularly relates to a frequency spectrum state prediction method based on a hybrid deep learning model, the hybrid deep learning model is fused with a long short-term memory (LSTM) network and a multi-layer perceptron (MLP), and through three-dimensional frequency spectrum data sensing, self-adaptive dual-threshold energy detection and hybrid model prediction, the frequency spectrum state is predicted. And the accuracy of idle channel spectrum prediction is further improved. According to the method, the secondary user (SU) in the cognitive radio system (CRS) can quickly select the channel with the highest idle probability for access, the repeated sensing frequency is reduced, the total sensing time is reduced by 30%, and the effective data transmission time is improved by 30%. Compared with the prior art, the method provided by the invention is higher in frequency spectrum state prediction precision in a low signal-to-noise ratio (SNR) scene, the throughput of the system is remarkably improved, and the energy consumption of the system is lower.

Embodiments of the present application provide a data processing method for a display device, and a display device. For each backlight driver, if dimming data of a current frame of the backlight driver is different from dimming data of a previous frame, a backlight controller sends the dimming data of the current frame to the backlight driver, and the backlight driver drives, on the basis of the dimming data of the current frame, a light-emitting unit to emit light; and if the dimming data of the current frame of the backlight driver is the same as the dimming data of the previous frame, the backlight controller does not send the dimming data of the current frame to the backlight driver, and the backlight driver drives, on the basis of the dimming data of the previous frame, the light-emitting unit to emit light. Compared with sending dimming data to all backlight drivers, sending the dimming data of the current frame only to a backlight driver of which data has changed can achieve the following effects: reducing the amount of data transmission, reducing electromagnetic interference, reducing power loss, reducing data transmission time, and increasing the response rate of the display device.

A GPU-based graph vector index construction method, apparatus, and storage medium are disclosed, relating to the field of graph index construction technology. The method includes: partitioning the original dataset using a clustering algorithm to obtain a first preset number of partitioned data subsets; sending the i-th partitioned data subset to the GPU, where i is a positive integer; constructing a local graph vector index for the i-th partitioned data subset on the GPU; sending the (i+1)-th partitioned data subset to the GPU, until all local graph vector indices are obtained; and constructing a hierarchical global graph vector index based on all local graph vector indices. This method, by constructing a producer-consumer model pipeline, completely masks the PCIe bus data transfer time with GPU computation time, eliminating I / O bottlenecks and improving the graph index construction speed.

The invention relates to a data continuous transmission dynamic routing calculation method for rectangular grid sequence cell elements, which comprises the following steps of: acquiring rectangular grid sequence cell element transmission parameters including the row number, the column number and the transmission period of a rectangular grid; each grid of the rectangular grid represents a cell element, and the cell element at the leftmost end of the rectangular grid is uniformly connected with a control center; dividing a transmission period according to the line number of the rectangular grid to obtain a single-line data transmission time period corresponding to each line in the rectangular grid; and in a corresponding single-row data transmission time period, according to a transmission path determination strategy, determining transmission path cells for the cells in the row sequentially through the cells in the rectangular grid along the forward direction, generating a data transmission path, and carrying out relay continuous transmission on the data of the cells in the same row. The method is suitable for a super-large-scale rectangular grid system, and an efficient and reliable routing solution is provided for a distributed system through a unique line-by-line timing transmission, dynamic local detour and path optimization and fault positioning integrated mechanism.

An AoI optimization method based on a space-air-ground integrated network relates to the technical field of unmanned aerial vehicle communication, and comprises the following steps: 1, dividing a ground sensing area into a plurality of sub-areas configured with an unmanned aerial vehicle, dividing a long-term data collection period into a plurality of equilong basic time slots, and each basic time slot comprises a long time slot and a short time slot which are connected in time sequence; and 2, constructing an AoI optimization model of an air-ground link under a single time slot, and achieving the goal of minimizing the long-term average AoI of ground nodes by optimizing node clustering, energy supply and data transmission time distribution, cluster scheduling and unmanned aerial vehicle trajectory planning. And 3, constructing an AoI optimization model of an air-space link under a single time slot, and realizing the target of reducing the cache backlog of the unmanned aerial vehicle by optimizing an access strategy of the unmanned aerial vehicle and a low-orbit satellite and a transmission bandwidth allocation strategy. According to the invention, the technical problems of limited energy supply of the ground sensing network, high system AoI optimization complexity and difficult network resource scheduling in the prior art can be solved.

The application discloses a layered centralized vehicle team cooperative driving method based on cloud computing, which comprises the following steps: establishing a vehicle team state space equation; uploading driving information to a cloud server; compensating the driving information; establishing a vehicle team driving optimal control problem according to the compensated driving information; solving the optimal control problem based on a Gauss pseudospectrum method and a sequential quadratic programming algorithm to obtain optimal control amount time series of each vehicle in the vehicle team; issuing the generated optimal control amount time series to a vehicle terminal; compensating the optimal control amount time series; controlling the vehicle to track its driving according to the compensated optimal control amount time series; and continuously repeating the above steps to realize vehicle team cooperative driving. The application adopts a centralized control strategy to increase the global optimization capability of the vehicle team and improve the driving efficiency of the vehicle team; and solves the communication time delay problem of the layered vehicle team controller through a vehicle-cloud data transmission time delay compensator, thereby improving the stability of the vehicle team control.

The invention relates to the technical field of low-voltage power utilization, in particular to a real-time regulation and control method based on low-voltage power utilization equipment and related equipment. The method comprises the following steps that: a control platform performs equipment networking according to a white list formed by archive information by a central coordinator by taking a power line as a communication medium to obtain a low-voltage equipment network; the central coordinator identifies the level of the regulation and control instruction; wherein the grades comprise a super-emergency grade, an emergency grade and a common grade; the central coordinator sends the regulation and control instruction to the site according to the identified grade; the site carries out data analysis on the regulation and control instruction according to the identified grade and then sends the regulation and control instruction to the electric equipment; and after the electric equipment completes regulation and control on the analyzed regulation and control instruction, a regulation and control result is returned to the central coordinator through the station. The reliability of the remote regulation and control instruction result can be improved, the data transmission time loss is reduced, the service requirements are flexibly adapted, and equipment communication and service interaction are not influenced.

The application discloses an image refreshing method, an image refreshing device, an image refreshing equipment and a computer storage medium, relates to the technical field of image display, and comprises the following steps: determining an image to-be-refreshed region in a display interface and effective coordinates of the image to-be-refreshed region in the display interface; acquiring effective image data corresponding to the determined region in the display interface of the effective coordinates; and refreshing a current frame image in the display interface based on the effective image data to obtain a next frame image. Through the mode of optimizing the data amount size pushed by MCU to the panel screen, only the effective image data corresponding to the image to-be-refreshed region is transmitted, the whole frame image data does not need to be transmitted, the data transmission amount is reduced, the data transmission time is shortened, the display frame rate is improved, and the power consumption is reduced.

A method for predicting and analyzing the real-time image transmission capability of remote sensing satellite point targets belongs to the field of satellite mission planning and data transmission technology. Without relying on third-party simulation software, it achieves automated analysis of the real-time image transmission capability of point targets through geometric analysis under imaging attitude and joint determination of time windows. It is used to automatically determine whether a ground point target meets the condition of "real-time image transmission after imaging" under the condition that the satellite imaging attitude is not adjusted, comprehensively considering the satellite imaging attitude, phased array antenna beam scanning angle limitations, and imaging-to-data transmission time constraints. This avoids reliance on manual simulation and calculation, improving analysis efficiency and accuracy.

Disclosed are a communication method and apparatus, applied to the technical field of communications, the method comprising: a first network element obtaining data scheduling information, the data scheduling information comprising at least one of data scheduling occurrence time, data transmission time, data scheduling times and data scheduling frequency, the first network element is a network element responsible for a network data analysis function; the first network element determines a first analysis result according to the data scheduling information; the first network element sends a first analysis result to a second network element, the first analysis result is used for determining the first data scheduling operation, and the second network element is a network element responsible for a data management function. By adopting the method, the data collection efficiency can be improved.

The invention discloses a visual carbon emission data management method and system, and relates to the field of carbon emission data management.The method comprises the steps that a data transmission time window is determined, energy consumption data and environment data are received, and the energy consumption data and the environment data are packaged into vector data packets; constructing a logic verification model based on a data relationship in the vector data packet; verifying the mechanical equilibrium state of the logic verification model, and judging the logic self-consistency of the vector data packet; when the logic self-consistency is judged to be non-self-consistency, determining an error of the vector data packet, and determining whether the error is within a preset error range; if yes, extracting a structural deformation feature vector of the logic verification model, and generating a reverse correction vector; superposing the reverse correction vector into the original data stream to correct the vector data packet; and storing the corrected vector data packet to an energy carbon management platform, and generating a visual carbon emission management report. According to the invention, the accuracy and real-time performance of carbon emission data management can be effectively ensured.

Provided is a base station including a distributed unit and a plurality of radio units, wherein each of the plurality of radio units includes: a reception unit that receives, from the distributed unit, configuration information related to cooperative beamforming control; a control unit that, on the basis of the configuration information, enables a synchronization window for synchronizing data transmission timings among the plurality of radio units; and a transmission unit that uses the synchronization window to transmit data to a terminal.

A communication method and a communication device are provided. The method includes: acquiring data transmission time lengths and data transmission time windows of N first devices in a network, where the data transmission time lengths of the N first devices have a one-to-one correspondence with the data transmission time windows of the N first devices, and the N first devices are connected to a third device in the network; and determining N offsets based on the data transmission time lengths and data transmission time windows of the N first devices, where the N offsets have a one-to-one correspondence with the N first devices, and the N offsets allow the data transmitted by the N first devices to arrive at the third device at different times. According to the above design, the traffic peak-to-average ratio of the aggregated link between the third device and the second device can be reduced, and the bandwidth utilization of the aggregated link can be improved.

The invention discloses a cloud image cooperative processing method and system based on edge computing, and relates to the field of medical information technology and edge computing technology, and the method comprises the steps: deploying an edge computing device with data processing capability in a lower-level medical institution, and carrying out the localized intelligent analysis of an original two-dimensional image sequence through the edge computing device; key slice images containing key diagnosis features are quickly identified, and the key slice images are endowed with higher transmission priorities and uploaded to the cloud; thus, a consultation terminal of a superior medical institution can preferentially acquire the key slices for previewing by a doctor of the superior medical institution, and then decides whether to request other image data according to a doctor user interaction instruction, thereby avoiding full-amount transmission of invalid data, remarkably reducing dependence on network bandwidth and storage pressure of a subordinate medical institution, and improving user experience. The data transmission time is saved, and efficient and smooth cooperation between upper and lower medical institutions can be guaranteed.

This invention discloses a data storage method, system, device, and computer-readable storage medium, relating to the field of data storage. The processor, after determining that the received information is preset information, parses the preset information within a first preset time period and transmits the information to the BMC (Browser Memory Management System) in the form of preset bytes a first preset number of times. After the BMC receives all the parsed preset information, the processor controls the BMC to transmit all the information to the PNOR flash memory in a second preset number of times within the first preset time period, completing the data storage. Because the sum of the first preset time and the second preset time is less than a preset target time, it can be guaranteed that all the parsed preset information can be stored in the PNOR flash memory, reducing data transmission time and greatly improving the error injection success rate.

This invention specifically relates to a distributed time slot allocation method suitable for parallel transmission and reception of three-sided arrays, belonging to the field of wireless communication technology. The method includes: a resource negotiation initiating node sending a negotiation initiation packet to neighboring nodes during a resource negotiation time slot, including the number of time slots required for transmitting data packets in the next time frame and a time slot working status table; a resource negotiation responding node, upon receiving the negotiation initiation packet, generating a receive data transmission time slot table and sending it to the resource negotiation initiating node via a negotiation response packet; at the end of the last resource negotiation time slot of each time frame, each node generates a three-sided array parallel transmission and reception time slot table for the next time frame based on the number of time slots required for transmitting data packets in the next time frame, the received and transmitted receive data transmission time slot tables, and so on. This method is simple and easy to implement, enables parallel transmission and reception of three-sided arrays, and avoids mutual interference between corresponding links of adjacent arrays.

Disclosed in the present application are a communication method and apparatus, which are applied to the technical field of communications. The method comprises: a first network element acquiring data scheduling information, wherein the data scheduling information comprises at least one of an occurrence time of data scheduling, a data transmission time, the number of instances of data scheduling, and a data scheduling frequency, and the first network element is a network element responsible for a network data analytics function; on the basis of the data scheduling information, the first network element determining a first analytics result; and the first network element sending the first analytics result to a second network element, wherein the first analytics result is used for determining a first data scheduling operation, and the second network element is a network element responsible for a data management function. By means of the present application, the efficiency of data collection can be improved.

The application discloses a dynamic self-triggering filtering method under incomplete semi-Markov kernel information, relates to the technical field of automatic control and signal processing, and aims at the problems of difficult acquisition of semi-Markov kernel information, heavy communication burden and insufficient peak value control. The semi-Markov information known / unknown set is classified, the known parameters and the lower bound are utilized, a self-triggering mechanism containing dynamic variables is designed to determine the data transmission time, a modal dependent filter is constructed, the Lyapunov theory and the linear matrix inequality technology are combined to verify the mean square exponential stability and the robust performance of the filtering error system, and the problems of high conservativeness and resource waste of the existing method are solved.

The invention discloses a smart park building intercom system call quality monitoring and optimizing method, a storage medium and electronic equipment. A passenger plane is embedded into a main acquisition module used for acquiring uplink data, and the uplink data comprises an uplink delay value and an uplink packet loss rate and is transmitted to a server; a sub-acquisition module for acquiring downlink data is embedded in the user machine, the downlink data comprises a downlink delay value, a downlink packet loss rate and a jitter value and is transmitted to the server, the server receives the downlink data and then starts an evaluation algorithm to obtain a call quality score, whether quality optimization is carried out or not is judged according to a preset quality score threshold value, and if yes, the user machine does not carry out quality optimization. If yes, the uplink delay value, the downlink packet loss rate and the jitter value are compared with the preset threshold values respectively, the uplink delay value is high, the processing and data transmission time consumption is reduced, the downlink packet loss rate is high, the data transmission redundancy and toughness are improved, the jitter value is large, and the data packet decoding time is smoothed. According to the invention, the problems of monitoring and optimizing the call quality between the guest machine and the user machine in the building intercom system are solved.

The invention provides a picture processing method and device, equipment, a medium and a product, and relates to the technical field of data processing, and the specific technical scheme is as follows: in a system switching process of a target server and a historical server, the historical server transmits first structured information of a historical picture to the target server, and the target server transmits the first structured information of the historical picture to the target server in each piece of index information; and taking the index information matched with the picture query condition as target index information, and sending the target index information to the terminal. And the terminal queries the target query picture in a historical server or a target server based on the target index information. According to the method, the historical picture does not need to be transmitted, only the first structured information needs to be transmitted, the data size of the first structured information is smaller than that of the historical picture, the data transmission time in the system switching process is saved, the data transmission efficiency in the system switching process is improved, and then the system switching efficiency is improved; and the target server can execute the picture query service as soon as possible.

The embodiment of the invention discloses a switch, a method and a server, relates to data exchange equipment, and can improve the utilization efficiency of a physical link so as to shorten the overall data transmission time. The switch comprises an upstream port, a plurality of downstream ports and a broadcast module, wherein the broadcast module is respectively connected with the upstream port and the plurality of downstream ports of the switch through a routing module; the broadcasting module is configured to receive configuration information and a control instruction sent by a source device through the upstream port, acquire data to be broadcasted from the source device according to the configuration information and the control instruction, and forward the data to be broadcasted to a plurality of target devices in parallel through a plurality of downstream ports interconnected by the routing module; the configuration information comprises a source address and a destination address group used for indicating to-be-broadcasted data, and the control instruction comprises a trigger control instruction used for indicating the broadcasting module to start to execute the to-be-broadcasted data transmission.

The present invention relates to a method for ensuring a data transmission bandwidth and a data transfer time (low-latency) while reducing the number of physical communication lines of an in-vehicle network by applying a network slicing technology in a software defined vehicle (SDV)-based in-vehicle network.