5results about How to "Avoid misdirection" patented technology

The application discloses a workpiece, and relates to the technical field of optics. In the application, the workpiece is a mask or a wafer, the workpiece has a functional area and an alignment area on a measurement plane, the alignment area is arranged around the functional area, the workpiece has a rotationally symmetric center, the alignment area has a plurality of alignment marks, one of any two alignment marks can be rotated around the rotationally symmetric center to a position coinciding with the other, and the alignment mark comprises two symmetrical sub-patterns and an asymmetrical sub-pattern arranged on the measurement plane. Each symmetrical sub-pattern has a first symmetry axis and a second symmetry axis perpendicular to each other. The asymmetrical sub-pattern is configured as a pattern asymmetric about the first symmetry axis and the second symmetry axis. The workpiece in the application has the alignment mark, so that a photolithography device can simultaneously realize direction identification and high-precision measurement, and the reliability of an alignment process is remarkably improved.

This utility model discloses a universal fixture for mobile phone case processing, relating to the field of mobile phone case processing technology. It includes a base plate with multiple slots on its surface. Each slot contains a matching insert block. A bracket is fixedly connected to the top of each insert block. A main fixture is mounted on the top of the bracket, and a positioning mechanism is located on the top of the main fixture. The positioning mechanism includes a positioning frame, which is positioned on the top of the main fixture. A positioning threaded hole is formed on the top of the positioning frame, and a foolproof pin is fixedly connected to one side of the threaded hole. By rotating the positioning pin, its height and position can be precisely adjusted, enabling accurate positioning of the mobile phone case. This ensures the mobile phone case remains in a fixed position during processing, improving processing accuracy and product quality. Simultaneously, the foolproof pin effectively prevents the mobile phone case from being placed in the wrong orientation, further improving the accuracy and convenience of operation.

The utility model provides an embedding box for placing capsule wall-like tissues, and relates to the field of pathological tissue treatment. Comprising a box body and a box cover hinged to the box body, and dewatering holes are formed in the box body and the box cover; at least one baffle is arranged in the box body in a sliding mode, and a fixing piece is arranged on one side of the baffle and used for fixing the baffle to the box body. The capsule wall sample tissue can be integrated and fixed, the direction is positioned, clamping and embedding are convenient, and time and labor are saved.

The application discloses a voice conversion method and device based on a virtual scene, equipment, a medium and a product, and relates to the field of machine learning. The method comprises the following steps: acquiring a natural language command in the form of voice, the natural language command being used for commanding a non-player character, a target virtual character being in a first virtual scene, and the target virtual character comprising at least one of the non-player character and a master virtual character; acquiring a plurality of first scene hot words corresponding to the first virtual scene in which the target virtual character is located, the plurality of first scene hot words being scene-related words of the first virtual scene; and converting the natural language command into a command analysis result in the form of text based on the plurality of first scene hot words. In the above manner, the command analysis result can be more matched with the first virtual scene, and the accuracy of the command analysis result can be improved. The application can be applied to a terminal game scene, a virtual reality scene, an augmented reality scene and other virtual scenes that need to perform a voice conversion process.

The invention relates to a pavement service performance self-optimization prediction method, which comprises the following steps: acquiring pavement vibration data, extracting vibration features, constructing a time sequence feature tensor as model input, and constructing a feature decoupling multi-head deep network model by taking a vibration time domain root mean square as model output; dividing the current pavement vibration data into a teacher stage and at least one increment stage, calculating a comprehensive drift score of a single vibration feature, and calculating a drift score of a single sample based on the comprehensive drift score; a teacher stage data training model is used as a basic teacher model, incremental learning is carried out by using data in an incremental stage to obtain a student model, and a loss function of incremental learning is combined with a drift score of a single sample for construction; outputting a prediction result by using the student model; and when new data is accumulated, taking the student model as a new basic teacher model, and carrying out incremental learning by utilizing the accumulated new data so as to realize continuous evolution of the model. Compared with the prior art, the method has the advantages of long-term and accurate prediction and the like.