203 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 invention discloses a heterogeneous cluster parallel multi-stage fuzzy job scheduling method, which comprises the following steps of: receiving a processing request which is submitted by a user and contains multi-stage jobs, and modeling task execution time, data transmission time and request deadline into triangular fuzzy numbers, constructing a scheduling model taking the minimization of the total lease cost and the minimization of the request tardiness as targets; carrying out global exploration by adopting an improved second-generation non-dominated sorting genetic algorithm to generate parent and offspring populations; based on population similarity threshold judgment, dynamically triggering local search guided by a multi-agent near-end strategy optimization algorithm, and adaptively selecting a local search operator for each individual to generate an adjacent population; combining various populations, performing non-dominated sorting and crowding distance calculation, and screening out a new generation of populations; and iterating the process until convergence, and outputting a Pareto optimal solution set. According to the method, the problem of multi-target scheduling with fuzzy time variables in a heterogeneous environment is effectively solved, and the quality of a scheduling scheme and the algorithm search efficiency are improved.

The invention discloses an intelligent data migration system based on big data, and particularly relates to the technical field of data migration. Comprising a demand analysis and strategy making module, a data source and target system access module, a data preprocessing module, a data quality evaluation module, a data version control module, a data desensitization and encryption module, a migration execution engine module, a monitoring and alarm module and a data migration visualization module. A verification and optimization module; and a data migration post-evaluation and optimization module. The data migration speed and efficiency are improved, the data transmission time and bandwidth consumption are reduced, the complexity and error rate of manual operation are reduced, the safety of sensitive data in the transmission and storage process is ensured, the traceability and restorability of the data are ensured, the data are prevented from being lost or damaged, the accuracy of the migrated data is ensured, and the data migration efficiency is improved. Meanwhile, the access of various data sources and target systems is supported, and different service requirements are met.

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 application discloses a particle interaction calculation method and device, equipment and a storage medium. The method comprises the following steps: determining a target calculation system, grouping the particles in the target calculation system, obtaining a plurality of tasks, and using the tasks to control the calculation units to calculate the interaction between a group of particles; distributing each task to a plurality of different calculation units, wherein the number of the calculation units is a preset value; determining the total number of the calculation units used by each particle according to the correspondence between the tasks and the calculation units; if the total number of the calculation units used by each particle is less than a preset threshold, controlling each calculation unit to execute the corresponding task, and obtaining the interaction calculation result between each particle according to the execution result of each calculation unit. The application distributes different tasks to different calculation units, controls the total number of the calculation units used by each particle within a certain range, improves the calculation efficiency of each task, and reduces the data transmission time.

The application discloses a method for high-speed data synchronization transmission between boards, which adopts high-speed transceivers to realize high-speed data transmission between boards in a many-to-one mode; the data transmission time delay of each sub-board to the main board is tested, and the maximum value T0 is obtained; meanwhile, the data transmission buffer of each sub-board and the data receiving buffer of the main board are reset; after the resetting, each sub-board starts to send data, and the main board starts to receive the data of each sub-board from the local buffer after waiting for a time T greater than T0. The application realizes high-speed data transmission between boards, effectively controls the time delay of high-speed data transmission between boards, and realizes the synchronization transmission of data, which is very important in a system with complex data interaction and high data synchronization requirement.

The disclosure provides a computing power resource allocation method and device and a computer readable storage medium, and relates to the technical field of computing power network. The method comprises the following steps: receiving computing power requirements from M task nodes, M≥2; determining a transmission cost of providing computing power resources for the ith task node by the jth computing power node based on the task priority of the ith task node, a first ratio, a second ratio, and a plurality of data transmission times between the ith task node and the jth computing power node in N computing power nodes, 1≤i≤M, 1≤j≤N; and determining a global computing power resource allocation scheme based on the transmission cost, wherein the global computing power resource allocation scheme is a computing power resource allocation scheme in which the total transmission cost of providing computing power resources for the M task nodes by the N computing power nodes is less than a preset threshold.

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.

According to the display content sharing method and system provided by the invention, when the display content is shared, the sharing vehicle side converts the display content resource into the resource coding configuration set through coding standardization to upload the resource coding configuration set, so that the occupation of the shared content on cloud resources is reduced. And the shared vehicle end can reproduce the display content of the sharing vehicle end only by inputting the request short code. A unique short code is used for replacing a display content file for display content sharing, conversion from file transmission to short code interaction is achieved through display content sharing, consumption of system resources in the display content sharing process is reduced, display content sharing and reproduction operation is simplified, the data transmission amount is reduced by adopting a short code sharing mechanism, and the display content sharing efficiency is improved. The data transmission time is shortened, the sharing efficiency is improved, and the user experience is improved.

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 application discloses a data transmission method and device, a terminal device and a communication base station, and belongs to the technical field of communication. The method is applied to a terminal device of an Internet of Things, and comprises the following steps: receiving a maximum data retransmission number sent by a communication base station of the Internet of Things, wherein the maximum data retransmission number is determined based on network load conditions of the Internet of Things; determining a data transmission time slot corresponding to to-be-transmitted data based on the maximum data retransmission number, a priority of the to-be-transmitted data and position information of the terminal device; and transmitting the to-be-transmitted data to the communication base station based on the maximum data retransmission number and the data transmission time slot. The method can perceive network load by the communication base station, determine the maximum data retransmission number, determine the data transmission time slot for data transmission in combination with the priority of the to-be-transmitted data and the position information of the device, effectively improve data transmission reliability, reduce a data packet loss rate, and guarantee the priority transmission of emergency data.

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.

The invention provides a hybrid expert model reasoning optimization method and device and electronic equipment. The method comprises the following steps: receiving a plurality of expert models of a hybrid expert model distributed by a terminal, and receiving operation weights of the plurality of expert models, gating weights of the hybrid expert model and feature vectors of text data sent by the terminal; based on the feature vector and the gating weight of the text data, calculating selection weights of a plurality of expert models, determining a plurality of target expert models from the plurality of expert models, and generating masks of the plurality of target expert models; based on the feature vector of the text data, the masks of the multiple target expert models and the operation weights of the multiple target expert models, sparse matrix multiplication is carried out, and multiple calculation results are obtained; and summarizing the plurality of calculation results to obtain a final calculation result. According to the hybrid expert model reasoning optimization method provided by the invention, the target expert model is determined by adopting the equipment side, and sparse matrix multiplication is performed, so that the data transmission time delay is reduced, and the calculation efficiency is improved.

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.

The invention relates to a distributed Internet of Things equipment authentication method based on a lightweight message, which is characterized in that a lightweight message mechanism is introduced, key information in an authentication process is packaged and transmitted in a simple and efficient manner, the data transmission quantity is greatly reduced, the communication overhead is reduced, the authentication message is transmitted more quickly in a network, and the authentication efficiency is improved. And the data transmission time in the authentication process is effectively shortened. Meanwhile, authentication is carried out by utilizing unique physical characteristics of the physical unclonable function, so that complex asymmetric encryption operation is avoided, the computing resource consumption of the terminal equipment and the authentication service equipment is reduced, and the authentication efficiency is improved. Under a large-scale Internet of Things equipment authentication scene, the authentication efficiency is greatly improved, the system load and the resource consumption are reduced, the real-time performance and the expandability of the Internet of Things system are enhanced, and the large-scale terminal equipment is ensured to be quickly and stably accessed to the network.

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.

The present disclosure provides a wireless power supply controller that has an information acquisition function for acquiring a transmission duration for data from a power receiver that operates using wireless power supply and power supplied from a supply source other than the wireless power supply, a power supply determination function for determining the need for power supply to the power receiver on the basis of the acquired transmission duration, and a wireless power supply command function for giving a command for wireless power supply to the power receiver on the basis of the determination.

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.

[Problem] To improve communication efficiency between a terminal device and a base station. [Solution] A controller device according to the present disclosure comprises: a communication unit that transmits, to a first base station among a plurality of base stations, request information for requesting measurement of a data transmission time with one or more second base stations among the plurality of base stations, and receives measurement information of the data transmission time as a response to the request information; and a control unit that determines a third base station from among the one or more second base stations on the basis of the measurement information of the data transmission time, and performs control such that the other of the first base station and the third base station receives second data from one of the first base station and the third base station and transmits the second data to the terminal device, the second data is the same as the first data transmitted from the one base station to the terminal device.

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.