4results about How to "Save typing time" patented technology

This invention discloses a multi-dimensional adaptation method and system for sea and island use based on spatial topology and semantic mining, belonging to the technical field of marine resource management and territorial spatial planning. The method includes: receiving structured information on sea use, island use, and sea and island use projects; dynamically combining queries and displaying results based on multi-dimensional semantic features; automatically distributing projects and synchronizing their status according to county-level administrative divisions; automatically calling GIS services on the project details page, overlaying multiple layers for spatial topology analysis, and outputting structured conclusions; and generating a PDF analysis report based on a preset template, integrating spatial compliance, suspicious areas, and calculation results of sea area use fees. This invention solves the problems of inconsistent data standards, low efficiency of manual review, and disconnect between business and spatial analysis in existing technologies, realizing scientific review and decision support for sea and island use projects.

Embodiments of the present application disclose a method and device for determining input method candidate words, equipment, medium and program product, relating to the technical field of input method. The method comprises: obtaining a keyword input by a user in a target application; determining a first candidate word from at least one candidate word library based on the keyword, wherein the at least one candidate word library comprises a first candidate word library associated with historical content input by the user in the target application, and / or a second candidate word library associated with an application type of the target application; and displaying the first candidate word corresponding to the keyword. Thus, the embodiments of the present application can achieve the effect that the same keyword input in different target applications can obtain different candidate words expected by the user. Through more accurate and intelligent candidate word display, the input time of the user can be saved and the use experience of the user can be further improved.

The application provides an LDPC decoder of a CCSDS near-earth satellite standard and a decoding method thereof, and relates to the field of wireless communication and signal coding and decoding, wherein the decoder comprises a frame synchronization module, a channel LLR storage module, a control module, a variable node updating module, a check node updating module, a data rearrangement module, an address generation module, a data shift module, a node message storage module and an output module. The application divides the cyclic submatrix of the CCSDS near-earth satellite code group into smaller non-cyclic submatrices, improves the decoding parallelism, stores the node messages of the same cyclic submatrix after block division in the same address of the RAM, and alternately writes the variable node and check node messages into the RAM, thereby saving the storage resources; the check function is realized with low overhead by expanding one bit of the node message to store the decision result; and the error code performance is improved by optimizing the two kinds of node updating modules.

This invention discloses a method and system for intelligent coding review and automated data entry of medical records, relating to the field of data processing technology. The method acquires structured data from the electronic medical record system, including the patient's discharge diagnosis, treatment process, pathology report, medication records, and cost information, through multi-source acquisition. The data is then classified and preprocessed according to medical record type. A pre-trained natural language processing model analyzes the text data in the medical record homepage to understand the doctor's diagnostic descriptions and treatment process. Combined with a constructed coding rule base and knowledge graph, a recommended coding list and anomaly alerts are output through rule mapping and reasoning. A human-machine collaboration mechanism is established to automatically enter the reviewed medical record coding data into the medical record management system. This solves the problems of excessive reliance on manual operation, insufficient coding accuracy, and low efficiency in existing medical record coding review methods, forming a precise medical record coding working mode based on human-machine collaboration.