17results about How to "Implement error correction" patented technology

The invention discloses a character error correction method and apparatus, a device, a storage medium and a product. The method comprises the steps of obtaining a to-be-corrected character of an input image; verifying the verification value of the character to be corrected; and if the verification is not passed, calculating first similarities between the to-be-corrected character and a plurality of first preset similar characters, and correcting the to-be-corrected character according to the plurality of first similarities. According to the embodiment of the invention, the error correction of the isomorphic different-code characters can be realized, and the interference of the isomorphic different-code characters can be avoided.

The invention relates to the field of automatic conveying, in particular to C-shaped lining conveying and detecting equipment which comprises a friction type self-adaptive rotating device, a T-shaped screening and conveying device and a first flexible internal expansion material moving mechanical arm. The friction type self-adaptive turning device drives the C-shaped bushing to rotate by utilizing friction force, and uniformly adjusts the opening direction of the C-shaped bushing to a preset angle; the first flexible internal expansion material moving manipulator is used for transferring the C-shaped bushings between the friction type self-adaptive rotating device and the T-shaped screening and conveying device and grabbing the inner walls of the C-shaped bushings in an internal expansion manner; and the T-shaped screening and conveying device is used for receiving the C-shaped bushings and removing the C-shaped bushings with incorrect opening directions by utilizing a profiling structure of the T-shaped screening and conveying device. The friction type self-adaptive turning device is used for replacing expensive machine vision equipment, the cost is low, interference of greasy dirt and light rays is avoided, and the adaptability is high; and meanwhile, by means of the physical profiling design of the T-shaped screening and conveying device, error correction and rejection of wrong opening directions are achieved, and accurate feeding is ensured.

The application relates to the technical field of artificial intelligence, and discloses a text correction method and device, equipment and a medium, wherein the method comprises the following steps: obtaining initial text input by a user based on a preset ASR speech recognition technology or input method technology, performing pinyin conversion on the initial text to obtain an initial pinyin sequence; and performing pinyin conversion and pinyin-based text correction on the initial text according to each pinyin dictionary tree in a preset pinyin dictionary tree configuration to obtain corrected text, wherein each pinyin dictionary tree in the pinyin dictionary tree configuration comprises a wrong word pinyin dictionary tree, a multiple-word pinyin dictionary tree, a few-word pinyin dictionary tree and a disordered pinyin dictionary tree. Thus, the correction of homophonic words, few words, multiple words and disordered text is realized, and the accuracy and comprehensiveness of the correction are improved.

The present invention relates to the field of industrial intelligent manufacturing welding technology, and specifically to a workpiece assembly welding workstation and a control method thereof, wherein the workpiece assembly welding workstation comprises: a frame; a handling truss robot, comprising a first moving part and a mechanical gripper, wherein the first moving part is arranged on the frame, and the first moving part is connected to the mechanical gripper in a transmission manner to drive the mechanical gripper to move along the x-axis, the y-axis and the z-axis; a bearing platform, suitable for carrying workpieces; an assembly welding platform, suitable for receiving workpieces grasped by the mechanical gripper; an inverted welding robot, movably mounted on the frame, suitable for welding assembled workpieces; a 3D visual scanning system, connected to the first moving part in a transmission manner to scan and obtain the shape and position information of the workpiece on the bearing platform and feed it back to the handling truss robot; and a distance sensor, arranged on the inverted welding robot to perform error correction on the workpiece on the mechanical gripper. The present invention has a high degree of automation and assembly welding accuracy.

The invention relates to the technical field of data storage, and provides a flash memory error correction method and device, a medium and SSD equipment, and the method comprises the steps: carrying out the error correction of a first target die based on an RAID5 error correction technology, and obtaining first error correction data; obtaining a first target read voltage of the first target die and first target data read by adopting the first target read voltage; carrying out XOR operation on the target data read by the first target die under the read voltages at the preset positions on the two sides of the first target read voltage so as to obtain expected error position data of the first target die; executing an XOR operation on the first error correction data and the first target data to obtain first error position data; and judging a real error position of a first target die according to the expected error position data and the first error position data, and performing error correction processing on the first target data according to the real error position of the first target die to obtain correct data of the first target die. According to the invention, the adaptation capability and reliability of the flash memory are enhanced.

The application discloses a crop disease identification method based on local selection and feature interaction, which adopts a deep learning image recognition technology to identify and classify crop disease images. The application firstly performs data preprocessing on the disease images, and then extracts leaf disease features through an LSFI-ViT model constructed by the application. The LSFI-ViT takes a ViT as a backbone network to extract global features of the whole image, a local selection module LSM and a local-global feature interaction attention encoder LGFIA-Former are connected in series to form an extended branch, the LSM is responsible for selecting a local area with distinguishing features in the image, and the LGFIA-Former simultaneously processes local and global feature sequence inputs through the LGFIA to obtain interactive features of the local-global. Two groups of features are respectively sent to different fully connected layers to obtain two groups of prediction results, and finally, effective identification of different crop diseases and severity is realized in an integrated voting manner. The application effectively solves the problem of unsatisfactory crop disease and severity identification.

The application provides a vehicle posture orientation robust estimation method based on wheel detection, which comprises the following steps: determining image coordinates according to the contact points of front wheels and the contact points of rear wheels with the ground; under the premise that a camera is parallel to the ground and a target vehicle is coplanar with a self vehicle, determining a target vehicle orientation vector in the camera coordinates according to the image coordinates and the mapping relationship between the image coordinates and the camera coordinates; determining a vehicle preliminary heading angle according to the target vehicle orientation vector; determining an angle deviation between the vehicle preliminary heading angle and the real vehicle heading direction based on the vehicle preliminary heading angle; performing a flip correction on the vehicle preliminary heading angle according to the angle deviation and a flip determination condition to obtain a target vehicle posture orientation result. The application can improve the precision, robustness and reliability of the orientation estimation.

The embodiment of the present application provides a signal processing method, system, electronic device and storage medium, which belongs to the field of signal processing technology. The signal processing method is applied to a controller, in which a timer is provided, and the timer has an input capture function, and the method includes: obtaining an input signal, counting the pulse signal in the input signal to obtain multiple count values; obtaining a capture result according to whether the timer captures the direction signal; obtaining the effective direction flag of the input signal, and judging whether to update the effective direction flag according to the capture result; calculating the pulse increment according to the capture result, the effective direction flag and multiple count values; calculating the error compensation increment according to the capture result, the effective direction flag, the pulse increment and multiple count values; judging whether the input signal is captured by a false trigger, and calculating the number of pulses of the input signal according to the judgment result and the pulse increment and the error compensation increment. The anti-interference ability of the signal is improved and the design cost is reduced.

The invention discloses a model training method and device, a text error correction method and device, equipment, a medium and a product, and is applied to the technical field of artificial intelligence. The method comprises the following steps: firstly, carrying out word segmentation on a training text, and mapping to high-dimensional embedded representation so as to obtain target word vector representation through conversion, namely, the process of BERT embed; according to the scheme, the target word vector representation is input into the initial text error correction model for reinforcement learning, the method combines BERT embdingings and the aggregation operation of the reinforcement learning unit, training is completed only through few texts, the semantic relation can be captured, error correction of grammar, punctuation marks and words can be achieved, and meanwhile the text representation and classification capacity is improved. The method can adapt to an official document error correction scene, and has a good error correction effect.

This invention discloses a computer program product and its application for data processing devices in the field of bioinformatics for ctDNA variant detection. The technical problem this invention aims to solve is how to detect ctDNA variants in early-stage cancer or postoperative minimal residual disease (MRD) under conditions of no UMI library construction and moderate sequencing depth. This invention constructs a set of supporting sequences for candidate variant sites, generating a sequence feature tensor and a fragment physical feature vector (including normalized fragment length). The former is input into a first neural network branch to extract sequence representation, and the latter into a second neural network branch to extract physical representation. A fusion module combines the sequence representation and physical representation, and a gating unit calculates the gating weight based on the physical representation and dynamically adjusts the contribution of the sequence representation, outputting the probability of the true ctDNA variant. This invention utilizes physical laws to suppress sequencing noise and can be applied to monitor MRD under conditions without molecular barcodes.

The invention discloses an astronomical positioning measurement system and method based on a composite theodolite. The measurement system comprises a theodolite body, a main control board group, a telescope system, a driving device, a Beidou system and a north-seeking system, the telescope system is used for measuring satellites, the telescope system is electrically connected with the main control board group, and the telescope system can rotate to adjust an azimuth angle and a pitch angle; the driving device drives the telescope system to rotate to adjust the azimuth angle and the pitch angle; the Beidou system is used for providing time and position coordinate information data of a current test point and realizing time service and time synchronization, and the Beidou system is electrically connected with the main control board group; and the north-seeking system is used for seeking the due north direction of the current test point and is electrically connected with the main control board group. The measuring system can realize all-day observation of a fixed star on the ground, can measure and record angle coordinate information calculation of the fixed star at different moments, realizes positioning measurement in an inertial coordinate system, can automatically control the measuring process, and can realize automatic measurement.

The invention discloses a document information automatic input system and method based on a large language model, and belongs to the technical field of knowledge maps. The system comprises an input module, a preprocessing module, a feature extraction module, a key information identification module, an information verification module and an information input module. The method comprises the following steps: accessing multi-source policy data and carrying out format identification and cleaning; using a lightweight fine-tuning large language model to extract semantic features and construct an index; key information is extracted through mixed retrieval and entity recognition; performing multi-stage verification to ensure information accuracy and logic consistency; and finally, classifying, storing and dynamically optimizing the system. According to the method, policy semantics can be automatically understood, multi-modal content can be analyzed, policy changes can be rapidly adapted, all-directional verification is carried out, the problems that in the prior art, semantic understanding is insufficient, multi-modal processing is weak, dynamic updating lags behind, and a verification mechanism is single are solved, and efficient, accurate and intelligent input of policy information is achieved.

The present application relates to the technical field of pedestrian detection, and especially relates to a pedestrian detection and light intelligent control method and system. The present application optimizes the matching cost mechanism of the Hungarian algorithm, fuses the motion cost and deformation compensation cost of the human body point cloud cluster to complete the initial pedestrian matching, and divides to obtain the human body point cloud cluster subsets of matching success and matching failure. The present application configures independent Kalman filters for each human body point cloud cluster, predicts the next frame pedestrian motion state based on the historical motion parameters, combines the pedestrian motion distance, direction similarity and environmental obstacle information to reconstruct the motion cost, and secondarily uses the Hungarian algorithm to check and correct the matching result. Meanwhile, the present application combines the historical trajectory features of pedestrians and the surrounding environment features to adaptively optimize the process noise covariance of Kalman filtering, constructs the pedestrian motion state based on the position, speed and acceleration, effectively improves the pedestrian detection accuracy, and optimizes the office light intelligent linkage control effect.

The specification operator feeds mistake proofing device, including carbon black storage platform, be equipped with the discharge gate on carbon black storage platform, be equipped with the valve plate below the discharge gate, the valve plate can carry out horizontal sliding along two tracks, track is fixed in carbon black storage platform, the side of carbon black storage platform is equipped with manual access door, the technical effect of the utility model is that: the device is equipped with the discharge gate on carbon black storage platform, when unpacking, no longer rely on crane and steel wire rope, will not appear the safety accident of crane slide and ton bag sling slip.

The invention discloses a multi-source data-oriented intelligent dynamic character event atlas construction method, and aims to solve the core problems of causality deficiency, structure static stiffness and uninterpretable prediction in the traditional technology. The method comprises the following steps: firstly, unifying heterogeneous data into a'character-behavior-time 'three-dimensional event tensor through multi-source analysis; further, semantic similarity and causal strength calculation are creatively fused, and a dynamic map with an explicit causal relationship is constructed; driving adaptive growth and updating of the atlas through a structural uncertainty index; an individual behavior latent variable is learned by adopting a variational auto-encoder, so that personalized behavior prediction is realized; and finally, generating a prediction result with natural language interpretation in combination with causal path consistency constraint and a large language model. According to the method, the crossing from static association to dynamic causal reasoning is realized, and the accuracy, the self-adaptability and the interpretability of character behavior modeling under the scenes of public security criminal investigation, financial risk control and the like are remarkably improved.

The application provides a borehole camera probe error correction method, device and system, and relates to the technical field of geological exploration.The borehole camera probe error correction method comprises the following steps: a borehole camera gray scale feature model is established; a borehole wall development drawing is acquired; three-dimensional coordinates of a borehole camera probe are determined according to the image gray scale features of the borehole wall development drawing and the borehole camera gray scale feature model; eccentric gray scale error and eccentric perspective error are determined according to the three-dimensional coordinates and the borehole camera gray scale feature model; and error correction is performed on the borehole wall development drawing according to the eccentric gray scale error and the eccentric perspective error.The technical scheme can correct the gray scale error and the perspective error caused by probe eccentricity during the operation of the borehole camera system, thereby improving the measurement accuracy of the borehole camera system.

The embodiment of the present invention provides a vehicle identification code error correction reminder method and device, which relates to the field of data processing technology. The vehicle identification code error correction reminder method may include: when it is detected that the first vehicle identification code input by the user is wrong, obtaining at least one reference number sequence; replacing the number of the target position in the first vehicle identification code with the number of the target position in the reference number sequence, generating at least one second vehicle identification code; verifying whether each of the second vehicle identification codes is correct; when it is determined that only one of the second vehicle identification codes is correct, outputting a first error correction reminder message. The technical solution provided by the embodiment of the present invention can, to a certain extent, solve the problem that the prior art cannot correct the incorrectly input vehicle identification code.