8results about How to "Avoid traversal" patented technology

Embodiments of the present disclosure disclose an adaptive memory conversion method and device for a distributed file system. A specific implementation of the method comprises: dividing a metadata set in a target directory to obtain a metadata subset group; setting a corresponding memory data structure form for each metadata subset; determining a target metadata subset; executing a corresponding access processing flow on the target metadata subset to obtain and output a final access result; obtaining access feature sets and system resource states of each metadata subset in the metadata subset group in real time to obtain a directory index set; determining memory data structure form conversion instructions corresponding to metadata subsets to be converted in the metadata subset group to obtain a conversion instruction set and a to-be-converted metadata subset group; and performing data reconstruction on the to-be-converted metadata subset group to obtain a converted metadata subset group. The implementation can improve memory utilization, reduce redundant memory occupation, and reduce unnecessary data access overhead.

This invention relates to the field of electronic nautical chart system technology and discloses an electronic nautical chart mapping and printing method based on the QT framework, which solves the problems of low data retrieval efficiency, display distortion, poor format adaptability and insufficient interactivity in the prior art. It includes the following steps: (1) Dynamic data filtering based on Rtree spatial indexing technology, quickly locating geographic elements of the target area through full-map printing or box-selection printing modes, and dynamically calculating the scale and coordinate parameters; (2) Intelligent drawing of nautical chart elements using SVG vector format, integrating latitude and longitude scales, north arrow, legend, scale, and nautical chart image drawing, and dynamically configuring production information, element visibility, and font style through QT controls; (3) Interactive preview supports adaptive scaling, multi-mode display settings, and cross-format output, and can generate high-precision vector PDF printables or pixel PDF schematic diagrams. This invention can be applied to the printing module of an electronic nautical chart system based on the QT framework.

This application provides a firmware boot method applicable to the field of computer firmware technology. It includes: in response to a firmware boot command, executing a first coroutine task in a coroutine task queue; upon detecting that the execution of the first coroutine task has been paused by calling a blocking interface, saving context data determined during the execution of the first coroutine task to a first stack space corresponding to the first coroutine task; determining a second coroutine task in a paused execution state from the coroutine task queue; resuming the execution of the second coroutine task based on the context data stored in a second stack space corresponding to the second coroutine task; and determining the firmware state as booted based on the execution results of multiple completed coroutine tasks. This method utilizes cooperative coroutines to concurrently execute multiple hardware initialization tasks within a single thread, and achieves non-intrusive yielding by intercepting blocking interfaces, significantly shortening firmware boot time.

This application proposes a collaborative acceleration method and apparatus for address translation in RISC-V nested virtualization. The method introduces a Global Translation Arbitration (GTA) module and a shared secondary address translation cache (SLC) between the Memory Management Unit (MMU) and the Input / Output Memory Management Unit (IOMMU) to uniformly schedule and share address translation requests. When an address translation request misses its local cache, the SLC enables cross-unit translation result reuse. If the SLC also misses, the GTA further schedules the page table traverser resource pool to perform nested address translation, and the resulting translation is then filled back into the SLC and local cache, achieving translation result reuse. This application effectively reduces the redundant translation overhead between the MMU and IOMMU, lowers address translation latency in nested virtualization scenarios, and improves system resource utilization and overall performance.

This invention relates to the field of computer-aided design technology, specifically disclosing a system for automatic extraction and cost calculation of drawing dimensions based on DXF files. The system includes: a main interface interaction module, a file management module, a DXF parsing and dimension extraction module, a cost calculation module, a log and progress management module, and a version and permission management module. The system achieves a closed-loop process for DXF drawings, from batch import, integrated automatic extraction of geometric and process information, automatic cost calculation with compensation in multiple modes, batch fault-tolerant processing, to commercial authorization control. This invention constructs a fully automated closed-loop process from batch import of DXF drawings, integrated automatic extraction of geometric and process information, automatic cost calculation in multiple modes, and automatic export of results, completely replacing the traditional method of manually processing drawings one by one.

The invention relates to the technical field of computer vision and robots, and provides a pharmacy unmanned vehicle path planning and drug matching method based on JPS and RRT algorithms, and the method comprises the steps: constructing a pharmacy environment map, and determining the real-time position of an unmanned vehicle; performing unmanned vehicle path planning by adopting a JPS-RRT * algorithm to obtain a final driving path; the method comprises the following steps: acquiring a target drug image, constructing a drug feature template library, periodically acquiring drug images in a current visual field, pre-processing the drug images, and matching the pre-processed drug images with the drug feature template library by adopting an SAD template matching algorithm to obtain a drug classification result; and controlling the unmanned vehicle to move to the target position according to the final driving path, and executing a corresponding medicine grabbing or sorting task according to a medicine classification result.

A network resource management method, apparatus, medium, device, and product are disclosed. The method includes: receiving a first request, the first request requesting the allocation of an address block with a target mask length; determining whether an address block with the same target mask length exists in a free address block; if not, determining a first address block in the free address block, the first address block having a mask length less than and closest to the target mask length; and recursively splitting the first address block in half until a target address block with a mask length equal to the target mask length is obtained. Therefore, by adjusting the address block allocation processing logic, traversal of free address blocks is avoided, improving the response speed to the first request. Furthermore, as long as there is sufficient address block space, a suitable target address block can be generated, reducing allocation failures caused by address space fragmentation.

This application provides an anomaly risk identification method, apparatus, electronic device, medium, and program product, relating to the application of large-scale models in fintech scenarios, and applicable to the fields of big data technology, artificial intelligence technology, and fintech. The method includes: constructing a user profile based on historical transaction data of a target account; constructing an account transaction graph based on real-time transaction data of the target account; identifying a target transaction path corresponding to the target transaction based on the account transaction graph; and identifying anomaly risks of the target transaction based on the user profile and the target transaction path.