7results about How to "Fast data processing" patented technology

This invention discloses a liquid-cooled heat dissipation chip structure and its packaging method, relating to the field of chip technology. The liquid-cooled heat dissipation chip structure includes: a chip with accommodating channels formed therein, and coolant filled into the accommodating channels; a substrate, on which the chip is packaged; and a cooling fan mounted on the side of the chip away from the substrate. This invention solves the problem of chip overheating leading to decreased chip computing performance and slowed data processing speed.

This invention relates to the field of high-performance embedded real-time operating system application technology, and provides a method for task processing and human-machine interface processing on a display console based on VxWorks SMP, including: S1: Building a display console with a computer installed, configuring various control components and a display, and using the VxWorks SMP system to concurrently execute the task processing and human-machine interface processing functions that traditionally require two separate computers on the display console on this computer; S2: Developing and generating system-related project files using VxWorks development tools, and allocating and configuring task processing threads, human-machine interface processing threads, and control response underlying processing tasks, while configuring inter-task cooperation and protection mechanisms; S3: Writing a script program, guided by the VxWorks system, to load the control response underlying processing task binding project, task processing thread project, and human-machine interface processing thread project step by step. This solves the difficulty of concurrent operation of display console task processing and human-machine interface processing in VxWorks SMP.

This invention discloses a multi-dimensional privacy information perception and collection method. It constructs a formal description model of multi-dimensional privacy information, characterizing privacy information from multiple perspectives, including its composition, attributes, permissions, and control. Based on active learning and transfer learning algorithms, it builds a metadata intelligent perception, identification, and labeling method adaptable to various application scenarios and privacy protection strategies. This patent's advantages in adapting to multiple scenarios and information types allow it to adapt to the impact of changing application scenarios on privacy properties, reduce the concealment of privacy information caused by multiple information types, and improve the accuracy of privacy information perception. It focuses on perceiving multiple types of privacy information, comprehensively perceiving different privacy types such as text, images, and sound. Compared to existing single-type privacy perception methods, it is more beneficial for subsequent privacy strategy formulation and privacy control implementation, improving user privacy security. It has strong privacy perception capabilities, can process different types of data in parallel, and offers accurate privacy positioning and fast data processing.

The utility model provides a multi-split data acquisition networking architecture, which comprises a data acquisition rod and N inverters, and is characterized in that each inverter comprises a communication mainboard, a power supply port and an RS-485 port; in each inverter, the power supply output end of the communication mainboard is connected with the power supply port, and the communication end of the communication mainboard is connected with the RS-485 port to form an RS-485 communication branch line; the power supply input end of the data acquisition rod is connected with the power supply port of the nth inverter to obtain a power supply; the communication end of the data acquisition rod is connected with the RS-485 port of the nth inverter, and the RS-485 ports of all the inverters are connected in series to form an RS-485 communication bus; wherein N is a positive integer greater than or equal to 2, 1 < = n < = N, and n is a positive integer. The utility model has the advantages of simple structure, fast data processing, small packet loss probability, simple and reliable connection mode, low cost and the like.

The application provides an intelligent video analysis method based on large model scheduling, which comprises the following steps: video data acquisition and preprocessing, video content feature extraction and analysis, large model dynamic scheduling and task allocation, video analysis based on the large model and result generation, result fusion and post-processing, online incremental learning and model updating, and the like. The method can efficiently and automatically analyze, has the advantages of quantifying behavior reliability, flexible adaptation to scenes, and support for complex decisions. Meanwhile, multi-dimensional information fusion improves the accuracy of behavior description and the practical application value of the analysis method.

This application discloses a data loading method for a RISC-V vector processor, comprising: executing a data preloading instruction to load target data from a first memory to a second memory; wherein the data preloading instruction runs in parallel with ordinary instructions running before the data loading instruction; and executing the data loading instruction to load the target data from the second memory into the RISC-V vector processor. This method can improve the data processing speed and performance of the RISC-V vector processor. This application also discloses a data loading device, apparatus, and computer-readable storage medium for a RISC-V vector processor, all of which have the above-mentioned technical effects.

The application discloses a target depth determination method and system, and applies to the technical field of data processing. The method comprises the following steps: a CPU transmits depth measurement data of a target to be measured into an asynchronous queue of a DSP through an asynchronous queue interface; the DSP reads the depth measurement data from the asynchronous queue, and generates a data processing result by performing convolution processing on the depth measurement data; and the CPU acquires the data processing result through the asynchronous queue interface, and determines the depth of the target to be measured based on the data processing result through a peak searching algorithm. The application can effectively reduce the operation power consumption of the system, and can meet the efficient depth measurement requirement of users.