4results about How to "Improve coding accuracy" patented technology

The utility model discloses a kind of hollow punch coders of adjustable depth of steel plate surface, including coding base and clamping mechanism, coding base: its upper end front side is equipped with bottom plate, the upper end of bottom plate is equipped with liftable clamping plate, clamping mechanism: it includes moving block, limit slot, connecting rod, clamping assembly and lifting assembly, the moving block is slidably connected in the left and right sides inside clamping plate respectively, limit slot is all set in the inside of moving block close to the side in the middle of clamping plate, connecting rod is all rotationally connected in the inside middle of clamping plate, this adjustable depth hollow punch coder of steel plate surface, while fixed steel plate can also form limiting effect to steel plate surface, and make steel plate below and clamp bottom wall separate, reduce the influence of laser on clamp, steel plate can also be moved slowly to ensure that the interval between the surface of the coding place of steel plate and laser between in coding process is always equal, reduce the vibration of laser, improve the coding accuracy of laser.

This invention relates to the field of QR code technology, specifically to a character code generation method, decoding method, and apparatus. The method includes: acquiring text to be encoded and converting it into information to be encoded through an encoding mode; creating a scanning area and filling the scanning area with target text, wherein the version of the scanning area is determined based on the size of the target text and the size of the information to be encoded; splitting the information to be encoded into one or more data modules; matching candidate filling positions for each data module by traversing the outline formed by the strokes of the target text according to the size of the split data modules; and filling each data module into its corresponding filling position after a successful match. This invention provides a QR code encoding and decoding method that can be recognized by both machines and the human eye. Each character has a fixed outline path formed by strokes, and by changing the control points on the outline to embed encoding information, machine recognition and human eye recognition are combined.

A bitstream is received, comprising attribute information of a mesh having multiple vertices. It is determined whether a parallelogram-in-place prediction pattern is applicable to the current vertex among the multiple vertices of the mesh. When it is determined that the parallelogram-in-place prediction pattern is applicable to the current vertex of the mesh, one or more parallelogram-in-place predictions for the current vertex of the mesh are generated. Based on (i) the one or more parallelogram-in-place predictions, and (ii) one of the prediction residuals and index syntax included in the bitstream, the current vertex of the mesh is reconstructed.

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.