9results about How to "Remove distortion" patented technology

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 pupil recognition method, system, medium, product, and terminal based on center localization. It performs a horizontal gradient transformation operation on distortion-corrected human eye image data to generate eye gradient amplitude image data. Through gradient transformation, it extracts edge features of the pupil and iris regions, effectively separating the pupil edge from complex eye structures such as eyelid occlusion, eyelash projection, and iris pigment spots / crypts, avoiding misidentification of these interferences as pupil edges and improving the accuracy of pupil edge feature recognition. Combining the distortion-corrected human eye image data and eye gradient amplitude image data, it performs a pupil template matching operation based on the Hough circle detection algorithm. By leveraging the edge features of the gradient amplitude image, it enhances the matching accuracy between the pupil edge and the template, effectively ensuring the continuity and integrity of pupil contour recognition, further improving the reliability and accuracy of pupil measurement results.

This invention relates to the field of performance evolution analysis technology, specifically to a method and system for analyzing the performance evolution of wire harness connections. The method includes the following steps: acquiring various operational data corresponding to wire harness connection nodes and generating a multi-dimensional time-series dataset based on the data acquisition time sequence; performing time-series calibration on the multi-dimensional time-series dataset and simultaneously constructing a wire harness connection parameter correlation matrix; generating a set of wire harness performance correlation coefficients based on the wire harness connection parameter correlation matrix; establishing a wire harness connection performance evolution model based on the set of wire harness performance correlation coefficients, iteratively training the wire harness connection performance evolution model using historical performance data, and generating model training parameters; predicting the evolution trend of the standardized time-series dataset based on the model training parameters, and generating a wire harness performance evolution trend curve; and performing evolution anomaly assessment and analysis based on the wire harness performance evolution trend curve, generating early warning information for wire harness connection performance anomalies. This invention can comprehensively improve the efficiency of wire harness connection status monitoring.

The application relates to the field of water quality monitoring and discloses an intelligent water quality monitoring method based on multi-dimensional spectral technology, which comprises the following steps: synchronously collecting the absorption spectrum and the three-dimensional fluorescence spectrum of a water sample to be measured; correcting the three-dimensional fluorescence spectrum by using the absorption spectrum to obtain the corrected three-dimensional fluorescence spectrum; constructing a double-path deep neural network to extract absorption spectrum features and three-dimensional fluorescence spectrum features; inputting the two kinds of spectrum features into a self-attention module for internal correlation weighting; generating a fusion coefficient through a gate fusion unit, and dynamically fusing the two kinds of weighted spectrum features according to the fusion coefficient to obtain a fusion spectrum feature vector; and performing water quality parameter analysis based on the fusion spectrum feature vector. The application eliminates the fluorescence distortion of high-concentration samples through internal filter effect correction, deeply extracts heterogeneous spectrum features through a double-path convolutional neural network, and realizes adaptive weighting of the two kinds of spectrum information through dynamic gate fusion.

The application discloses a noise reduction system for a voice mouse, relates to the technical field of audio noise reduction, and solves the technical problem of low recognition accuracy of the voice mouse; a voice acquisition module is used for acquiring voice signals; and the voice signals are sent to a voice noise reduction module; the voice noise reduction module performs noise reduction processing on the first voice signal and the second voice signal respectively, and obtains a first clean voice signal and a second clean voice signal; the first clean voice signal and the second clean voice signal are synthesized to obtain a clean voice signal; the voice signals are subjected to noise reduction processing, the data traffic in data communication can be reduced, and the integrity of the data is ensured; the clean voice signal is compensated according to an AGC algorithm, reverse gain is used when the user's voice exceeds the acquisition limit, audio distortion is prevented, and the fidelity and accuracy of the audio are improved.

The invention discloses a pull sling response signal processing method and device based on empirical mode decomposition, a medium and equipment, and belongs to the technical field of bridge operation and maintenance. The method comprises the following steps: collecting real-time data of a target signal according to a preset moving window length to obtain current moving window data; performing signal decomposition on the current moving window data based on an empirical mode decomposition method to obtain a current moving window decomposition signal; and eliminating data breakpoints of overlapped parts by adopting an overlapped region linear weighted fusion method, taking decomposition results obtained in respective moving windows for non-overlapped parts, and combining the decomposition results to obtain smooth and continuous corrected decomposition signals. According to the method, the calculated amount pressure of long-time sequence signal loading and processing can be avoided, boundary data distortion of segmented processing is eliminated, the continuity of each signal component after decomposition is guaranteed, the completeness of signal characteristics is guaranteed, and the reconfigurability of the signals is reserved.

This invention belongs to the field of ultra-deep and ultra-high pressure downhole sampling technology, and relates to an ultra-deep and ultra-high pressure downhole PVT sampling device. This invention uses an electronic switch to time the activation of a one-way switch. The one-way switch ensures that fluid can only flow into the sampling chamber through the sampling inlet in one direction, preventing backflow or leakage after sampling, thus ensuring the accuracy and safety of the sampling. During sampling, the piston assembly moves towards the trigger switch under the action of the sample. When the trigger part on the piston assembly squeezes the trigger switch, and the pressure value of the squeezed trigger switch reaches a threshold, the trigger switch opens, and pressure-holding gas is injected into the sampling chamber through the pressure-holding gas inlet to maintain the high pressure state of the fluid sample in the sampling chamber. This achieves precise control of the pressure-holding gas injection, ensuring the accuracy and representativeness of the sample. This invention can achieve deep downhole pressure-holding sampling with good representativeness of the sampling results.