11results about How to "Improve bandwidth utilization" patented technology

This invention relates to the field of Internet of Things (IoT) technology, providing a large-scale IoT system, method, and medium for remote firmware updates of sensors. The system includes a sensor management platform configured to: determine multiple sensor update groups based on data characteristics of multiple sensors and their geographical locations within an industrial grid area; determine the update priority of each sensor update group based on its task and transmission characteristics; determine update parameters for the multiple sensor update groups based on update priority, firmware characteristics, and channel state distribution; and generate update instructions and firmware update packages based on the update parameters, and control multiple sensors in the multiple sensor update groups to perform firmware updates. The method can be executed after being read from computer instructions stored on a computer-readable storage medium. This invention enables secure, reliable, and continuous large-scale sensor firmware upgrades under complex industrial network conditions.

This disclosure provides an interface protocol converter and an electronic device, relating to the field of digital integrated circuits. The interface protocol converter includes: a read conversion module configured to convert the interface protocol of the read channel of an Advanced Scalable Interface (ASPI) into the interface protocol of a Static Random Access Memory (SRAM); the read conversion module includes: a read address FIFO memory; a read request expansion unit; a read identity FIFO memory; and a read data control FIFO memory; and a write conversion module configured to convert the interface protocol of the write channel of an ASPI into the interface protocol of a SRAM. By optimizing the data path structure, deep optimization of the SRAM interface characteristics is achieved, which can significantly reduce conversion latency and hardware resource consumption, while achieving higher bandwidth utilization and energy efficiency.

This invention relates to the field of byte processing technology, providing a method and apparatus for accelerating byte encryption and decryption. The invention adds operation bits to bitwise operation instructions; uses corresponding operation bits to perform byte selection, endianness conversion, single-input multiple shift processing, and / or efficient table lookup operations. Specifically, byte selection avoids invalid bit calculations, improving instruction utilization. Endianness conversion ensures correct data order, minimizing duplicate data requests due to order errors, thus reducing the need for bitwise operations and improving GPU bandwidth utilization. Single-input multiple shift processing reduces the number of shift instructions, increasing throughput and avoiding repeated loading of the same data; efficient table lookup operations improve bitwise computation throughput, significantly reducing bandwidth pressure. This invention optimizes the granularity of bitwise operations, enabling encryption and decryption algorithms to efficiently utilize computing resources on the GPU while minimizing bandwidth consumption.

The deep learning-based video multi-level adaptive compression cross-layer transmission optimization method and system of the application relates to the technical field of video transmission. By designing a compression level selection model based on deep learning, the optimal compression level is output based on the original video data and network environment parameters, and the corresponding compression strategy of the optimal compression level is obtained. A transmission strategy selection model is designed to generate a transmission strategy based on video quality parameters and network environment parameters. A global utility function is defined to calculate the global utility value when the compression strategy and the transmission strategy are assumed to be executed. An optimization objective function is designed, which inputs the compression strategy and the transmission strategy and outputs the optimized compression strategy and the transmission strategy. A condition judgment logic is set to select the final strategy based on the compression strategy and the transmission strategy before and after optimization, thereby achieving global optimization of video compression and transmission.

This disclosure provides a data access method, system, device, storage medium, and program product. The data access method includes: receiving a current memory access request; associating the current memory access request with in-transit memory access requests in a preset storage area; in response to a first in-transit memory access request that has an association, establishing an association between the current memory access request and the first in-transit memory access request, and storing the current memory access request as an in-transit memory access request in a free storage space in the preset storage area; in response to receiving read data corresponding to a second in-transit memory access request, returning the read data as the target memory access data for the second in-transit memory access request; obtaining a third in-transit memory access request associated with the second in-transit memory access request based on the association, extracting the target memory access data corresponding to the third in-transit memory access request from the read data, and returning it. This disclosure can effectively reduce the number of memory accesses, improving the utilization rate of the memory access bus bandwidth while reducing system power consumption.

Embodiments of the present application provide a data transmission method, device and electronic equipment, the method comprises: receiving a first data transmission instruction; sending a data packet of a first target task to a first target queue corresponding to a first target bandwidth, and sending data packets of other tasks to a first auxiliary queue corresponding to a first auxiliary bandwidth; calling a first target thread allocated for the first target queue, transmitting the data packet in the first target queue according to the first target bandwidth, and calling a first auxiliary thread allocated for the first auxiliary queue, transmitting the data packet in the first auxiliary queue according to the first auxiliary bandwidth. The application of the scheme provided in the embodiments of the present application can improve the bandwidth utilization and data transmission efficiency in the data transmission process.

This application discloses a coprocessor, hardware acceleration method, device, and medium for post-quantum cryptography algorithms, applied to cloud chips and relating to the field of chip design technology. It includes: a register set divided into a first storage area and a second storage area; a parameter memory for storing auxiliary calculation parameters; multiple parallel butterfly operation units for performing butterfly operations in number-theoretical transformations or inverse number-theoretical transformations to obtain the calculation results; and an access control module connected to the register set, parameter memory, and butterfly operation units, used to simultaneously read the target coefficients of the data to be calculated from the first and second storage areas, and read the corresponding auxiliary calculation parameters from the parameter memory; distribute the target coefficients and auxiliary calculation parameters to multiple butterfly operation units for calculation, and write the calculation results back to the first and second storage areas to update the coefficients. This approach reduces resource consumption and improves computational efficiency while maintaining high parallelism.

The application belongs to the technical field of wireless communication, and discloses a low-delay Li-Fi Internet of Things communication method and system based on UDP, which constructs a low-delay, high-reliability and self-adaptive Li-Fi communication system through communication link initialization, dynamic MTU adaptation, data packet priority scheduling, multi-dimensional intelligent scheduling mechanism, layered fault-tolerant architecture and cross-layer collaborative design. The application is suitable for intelligent factories, automatic driving, remote medical treatment and other Internet of Things scenes with extremely high real-time and reliability requirements, and has strong technical innovation and commercial application value.

This invention belongs to the field of cloud computing and network traffic control technology, and relates to an intelligent network traffic control method and system for containerized clusters. Based on pre-configured rules, it distinguishes between public network and internal network traffic in real time along the data forwarding path. It periodically monitors the total public network traffic of the cluster and dynamically calculates bandwidth limit parameters using a closed-loop feedback control algorithm. Then, it applies dynamic parameters to public network traffic for real-time shaping, while applying a completely independent static protection strategy to internal network traffic. Finally, it independently monitors the status of the control layer at the data execution layer, automatically releasing public network traffic control in case of disconnection, and ensuring business continuity by adhering to the Fail-Open principle. This invention aims to solve problems in traditional solutions such as indiscriminate control that may damage the internal network, the inability of static configuration to adapt, single points of failure in centralized architectures, and the lack of intelligent closed-loop control. It effectively improves bandwidth utilization and business performance, protects critical internal network traffic, significantly reduces operational complexity, and enhances system robustness.

This invention belongs to the field of wireless communication technology, specifically relating to an integrated air-space-ground intelligent communication monitoring system for areas without public network signals. The system includes: ground-based sensing nodes deployed in specific areas for data acquisition and preprocessing; an airborne mobile relay platform mounted on an unmanned aerial vehicle (UAV) for monitoring, data aggregation, and wireless power replenishment; a space-based constellation backbone network composed of low-Earth orbit (LEO) satellites for constructing backhaul links; and a remote integrated control terminal. The airborne platform dynamically plans its path and performs wireless beam replenishment based on parameters such as the power levels of the ground nodes. When the airborne platform's power is insufficient, it can switch to a fixed base station to enhance coverage. This invention improves the system's lifespan and monitoring flexibility through three-layer air-space-ground collaboration and an on-demand wake-up power replenishment mechanism, achieving reliable backhaul of high-value information and flexible resource reuse in complex environments.

Embodiments of the present disclosure provide a link training method, a corelet and a computing system, and relate to the technical field of chips. The link training method is applied to an arbitrator of a corelet, the corelet further includes a plurality of modules, the module includes a main band channel and a side band channel based on a general corelet interconnection standard, and is used for interconnection with a corresponding module of another corelet. The arbitrator is used for link training management of the plurality of modules. The method comprises: determining whether the modules meet a preset initialization condition according to a first signal received from each module; in the case that the plurality of modules of the corelet meet the preset initialization condition, outputting a second signal to each module, and controlling each module to perform side band initialization in parallel based on a time division multiplexing mode; determining whether the modules complete the side band initialization according to a third signal output by each module; and in the case that the plurality of modules complete the side band initialization, controlling each module to perform main band initialization and a main band training task, thereby reducing multi-module link training delay.