50 results about "Correction technique" patented technology

The invention relates to the technical field of mining, and discloses a method for determining pre-splitting blasting parameters for mining blasting, which comprises the following steps of: 1, acquiring rock mass structure information of a blasting area through three-dimensional geological radar, laser radar and shallow seismic reflection data, and constructing a structural plane distribution map containing a soft and hard interbed and joint combination mode; 2, initial presplitting blasting parameters are generated based on the structural plane distribution map, wherein the initial presplitting blasting parameters comprise the hole distance, the linear charge density and the charge structure; according to the method, the technical scheme that the structural plane distribution map is constructed through multi-source geological data fusion and digital twinborn simulation dynamic correction is adopted, so that the technical effects that the influence of a complex structure combination on blasting energy transfer is accurately quantified, and the presplitting path control precision is remarkably improved are achieved; compared with the technical scheme depending on a static rock mass model or an empirical formula in the prior art, the defects of presplitting path offset and serious parameter mismatch caused by the fact that modeling is not carried out due to the dynamic effect of the structural plane are overcome.

When x-ray fluorescence (“XRF”) spectroscopy is utilized to classify materials transported on a moving conveyor belt, there is the possibility of the x-ray beam only partially irradiating the material piece, which can result in the capture of an inaccurate XRF spectrum needed to classify the material piece. This can lead to an improper (erroneous) classification and resultant sortation of material pieces (e.g., aluminum alloys). In a material handling system, the area of the intersections between the x-ray beam spots from an x-ray fluorescence system and the material pieces are measured and correspondingly used to correct the measured XRF spectrum associated with each material piece. The material pieces can then be sorted according to the corrected XRF spectrum.

The invention relates to the technical field of image pre-training, in particular to a training method and system of an image pre-training model and a storage medium. The method comprises the following steps: collecting an original training image, carrying out high-dimensional feature mapping and pyramid transformation to generate a multi-resolution feature body, carrying out texture definition judgment on the image based on the feature body, screening out a defective training image and a qualified training image, and for the defective training image, carrying out texture definition judgment on the qualified training image. A traceability correction technology is adopted to correct a defect correction training image, positive and negative contrast images are constructed to train a defect image pre-training model, meanwhile, weak disturbance transformation is performed on a qualified training image, a positive example pair before and after disturbance is generated to train a qualified image pre-training model, the two pre-training models are integrated into a collaborative sample stream, and the collaborative sample stream is extracted. And a high-performance integrated image pre-training model is obtained through integrated pre-training. According to the method, image quality grading and differential modeling are realized, the defect identification precision is improved, and the model generalization ability is enhanced.

The invention discloses a self-adaptive ultra-large field-of-view infrared image non-uniformity correction method, and belongs to the field of infrared image quality control. Firstly, an infrared camera laboratory radiometric calibration coefficient is used as correction input, initial parameters of non-uniformity correction are obtained through multi-scene image statistics, and then detector response with an ultra-large view field center and stable response is selected as a standard reference standard. Correcting the correction parameter of each pixel towards the two sides of the detector by adopting a specific sample matching technology according to a standard reference datum to finish the non-uniformity correction of a single detector module, then establishing a high-precision overlapping region correlation detection constraint model for adjacent detectors, and performing feature point matching correction by utilizing the overlapping pixels of the adjacent detectors to finish the non-uniformity correction of the single detector module. Correction parameters between adjacent detector modules are obtained and transmitted in sequence, so that gray level balancing of the multiple detector modules of the infrared camera is achieved, finally, full-field-of-view image self-adaptive dynamic stretching is achieved through histogram statistics, and non-uniformity correction of the whole image is achieved.

Techniques facilitating error mitigation for quantum computing devices. In one example, a system can comprise a process that executes computer executable components stored in memory. The computer executable components comprise: an approximation component; a budget component; and an optimization component. The approximation component can generate an approximate decomposition of a quantum gate. The budget component can set a budget value (Cbudget) for a C-factor that is a metric for increase in variance of quasi-probability sampling. The optimization component can determine an optimal decomposition for the quantum gate as a function of Cbudget.

Techniques for triggering a correction to a binocular image misalignment in an ER system are disclosed. Triggering this correction is based on detected activity in a scene in which the ER system is operating. A first hologram is displayed. User activity is detected, but this activity is below a threshold level. A first correction algorithm is selected and is designed to achieve uninterrupted performance with respect to the first hologram. The first correction algorithm is triggered, resulting in correction of binocular image misalignment. Subsequently, second user activity is detected. This second user activity is associated with a second hologram. A second correction algorithm is selected and is designed to achieve accurate performance with respect to the second hologram. The second correction algorithm is executed, resulting in correction of the binocular image misalignment.

Systems and methods for dynamic error resolution in hybrid quantum-classical computing environments are disclosed. A system can obtain telemetry data corresponding to a processing job. The system can determine that an error resolution technique is to be applied to the quantum portion of the processing job. The system can select, for a quantum portion of the processing job, the error resolution technique from a plurality of error correction techniques and a plurality of error mitigation techniques. The system can update a hierarchical data structure representing the processing job as at least a set of nodes. The hierarchical data structure can be updated to include the error resolution technique in association with a respective node of the hierarchical data structure representing the quantum portion of the processing job.

The present description relates to an image sequence motion correction method and apparatus based on intensity correction optical flow registration. The method comprises: determining a reference image of each deformed image in a deformed-image sequence, and performing motion correction on the deformed image by means of adjusting the weight of a mechanical regularization term between the reference image and the deformed image, so as to obtain a displacement field of the deformed image relative to the reference image; on the basis of the displacement field and an intensity correction value of a finite element node, performing intensity correction on the reference image; adjusting the weight of the mechanical regularization term, performing motion correction on the deformed image, performing intensity correction on a first corrected reference image on the basis of an optimized displacement field, repeatedly executing the process until an image residual function converges, determining that the deformed image has been corrected, and recording the optimal solution of a weight value of the mechanical regularization term of the deformed image; and on the basis of the optimal solution of the weight value, determining the actual displacement of the deformed image. In the present description, the mechanical model behind physiological motion and an intensity correction technique are integrated into an image registration algorithm to reduce image noise, thereby improving the algorithm accuracy.

One or more systems, devices, computer program products and / or computer-implemented methods of use provided herein relate to an intelligent and automated system to solve quantum computing related problems. The computer-implemented system can comprise a memory that can store computer-executable components. The computer-implemented system can further comprise a processor that can execute the computer-executable components stored in the memory, wherein the computer-executable components can comprise a recommendation component that can employ a machine learning model to generate, based on an input, a recommendation comprising a combination of entities comprising, one or more quantum circuits, one or more algorithms, one or more quantum hardware units, one or more error mitigation or error correction techniques, and one or more quantum procedures, to solve a defined problem comprised in the input.

Techniques for triggering a correction to a binocular image misalignment in an ER system are disclosed. Triggering this correction is based on detected activity in a scene in which the ER system is operating. A first hologram is displayed. User activity is detected, but this activity is below a threshold level. A first correction algorithm is selected and is designed to achieve uninterrupted performance with respect to the first hologram. The first correction algorithm is triggered, resulting in correction of binocular image misalignment. Subsequently, second user activity is detected. This second user activity is associated with a second hologram. A second correction algorithm is selected and is designed to achieve accurate performance with respect to the second hologram. The second correction algorithm is executed, resulting in correction of the binocular image misalignment.

When x-ray fluorescence ("XRF") spectroscopy is utilized to classify materials transported on a moving conveyor belt, there is the possibility of the x-ray beam only partially irradiating the material piece, which can result in the capture of an inaccurate XRF spectrum needed to classify the material piece. This can lead to an improper (erroneous) classification and resultant sortation of material pieces (e.g., aluminum alloys). In a material handling system, the area of the intersections between the x-ray beam spots from an x-ray fluorescence system and the material pieces are measured and correspondingly used to correct the measured XRF spectrum associated with each material piece. The material pieces can then be sorted according to the corrected XRF spectrum.

The present disclosure relates to dividing image data obtained from a scan (e.g. MRI) of an object into two or more sets of data corresponding do unique motion patterns and / or motion sources. Each of the two or more sets of data can be corrected using an appropriate correction technique. One appropriate correction techniques includes generating kernels for each divided imaging dataset using center and adjacent slice information to correct for through-plane and in-plane artifacts.

Techniques are disclosed for detecting and correcting anomalous intervals in time series data for monitored devices. A system trains a machine learning model on a combination of actual data obtained from the monitoring device and fake data generated by adding noise to the actual data. The model predicts operational values ​​of the device at individual intervals in the time series data set. The system identifies anomalies in the time series data based on the difference between the predicted value and the actual value. If the difference between the predicted value generated by the machine learning model and the actual value exceeds a threshold, the system identifies the particular data point, such as a meter reading, as anomalous. The system ranks the anomalies and takes corrective action based on the ranking.

Aspects of the present disclosure are directed to a process for applying, in a distributed manner, Auto White Balance (AWB) correction techniques to images acquired at an imaging device. AWB is used to adjust the color balance of an image to make the image look more natural and appealing to the viewer. AWB can neutralize color casts that may be present in an image, such as those caused by the lighting conditions or the camera's sensors. The absence of AWB correction can cause an image to have incorrect colors, such as a green tint, while a failure in AWB can often be perceived as the image having an incorrect color tint. In examples, at least a portion of the computational complexity involved in performing AWB correction techniques can be offloaded to a companion computation device, such as a coprocessing device.

Techniques are provided for transforming navigation corrections into transformed navigation corrections that are compatible with other independently generated navigation corrections. A navigation correction system may generate one or more corrections based on executing a correction algorithm that sets some parameters to arbitrary values. The navigation correction system may receive independently generated reference corrections from a different navigation correction system that executes a correction algorithm that sets some parameters to arbitrary values. The navigation correction system may use the reference corrections and generated corrections with a system of one or more equations to calculate at least one estimated delta value. The correction system may transform a selected generated correction with the estimated delta value to generate a transformed correction that is compatible with the reference corrections. The transformed correction and reference corrections can be used together when implementing a positioning technique (e.g., PPP-AR).

A method, system, and computer program product for improving accuracy and efficiency of quantum error mitigation / correction techniques. A model (e.g., noise model) of a quantum gate set (collection of quantum gates) that accounts for SPAM and gate errors is built by running learning circuits at different depths with different initial states and measurements to extract information about the quantum system. A gauge transformation is then applied to the quantum gate set to transform both the SPAM and gate errors together. A gauge transformation enables a different perspective of the quantum system while still preserving the underlying physics. A quantum error mitigation / correction technique is then tailored to avoid interpreting errors (e.g., SPAM, gate errors, etc.) inconsistently if treated individually using the transformed SPAM and gate errors thereby requiring fewer additional circuit runs for accurate estimations which significantly reduces the computational overhead associated with quantum error mitigation / correction.

The invention discloses distributed real-time automatic white balance correction for artificial reality applications. Aspects of the present disclosure relate to a process for applying an automatic white balance (AWB) correction technique in a distributed manner to an image captured at an imaging device. The AWB is used to adjust the color balance of the image so that the image looks more natural and more attractive to viewers. The AWB may neutralize color cast that may be present in the image, such as color cast caused by lighting conditions or sensors of the camera. No AWB correction may lead to incorrect image color (e.g., green hue), while AWB insufficiency may often be considered incorrect image hue. In examples, at least a portion of the computational complexity involved in performing the AWB correction technique may be transferred to a companion computing device, such as a co-processing device.

The invention discloses a micro-morphology measuring and modeling method for a cutting edge of a light shielding ring of a light shielding cover, and belongs to the technical field of precision measurement and three-dimensional modeling. The method comprises the following steps: firstly, acquiring three-dimensional point cloud data of a cutting edge of a light blocking ring through a laser scanning confocal microscope; carrying out denoising processing on the data by adopting wavelet threshold denoising and five-point secondary smoothing filtering; the data precision is improved by combining clamp installation optimization and inclination correction technologies; data pruning is achieved through curvature analysis, and a cutting edge feature area is extracted; missing data are repaired by using cubic B-spline interpolation; and finally, a high-precision cutting edge model is established through trapezoid fitting, arc fitting and NURBS curved surface reconstruction methods. According to the method, the problem that the micro-morphology representation accuracy of the cutting edge of the light shielding ring of the light shielding cover is insufficient in the prior art is solved, the accuracy and efficiency of the morphology representation of the cutting edge are remarkably improved, and technical support is provided for the surface morphology design of a high-precision light shielding cover.

A time-interleaved ADC error parameter extraction and correction method relates to an error correction technique for an analog-to-digital converter (ADC). This application discloses a method for extracting and correcting error parameters in a time-interleaved ADC, which takes the time-interleaved ADC channel n as the basis or reference channel, and corrects other channels to match the channel n. The steps include: a. Converting a time domain signal output of each ADC channel into a frequency domain signal; b. Calculating one or more error parameters according to the frequency domain signal; c. Correcting the frequency domain signal in one or more different channels according to the error parameter(s); and d. Converting the corrected frequency domain signal into a (corresponding) corrected time domain signal.

This paper proposes a low-complexity, hardware-friendly technique for video decoding systems to mitigate striping artifacts while maintaining compression efficiency. Generally, the proposed technique consists of two stages: a striping detection stage and a destripping stage. The striping detection stage identifies potential striping artifact regions in the image / video based on gradient information and other data. The destripping stage applies correction techniques to these identified regions. In one implementation, the destripping modifies the filtering logic proposed by previous video decoding standards for other filtering applications to mitigate striping. When implemented on the AVI video decoding standard and the AOM Video Model (AVM) reference software, the proposed technique significantly improves subjective quality at a reasonable hardware implementation cost. The methods and implementations presented in this document can be beneficially applied to various image / video decoding standards and systems.

To improve a path correction technique of a flying body.SOLUTION: An information processing device is provided with a control unit that corrects a predetermined target flight path for autonomously flight of a flying body from an autonomous flight start point to an autonomous flight end point, based on wind information on the target flight path during flight of the flying body along the target flight path. The control unit corrects a partial path of the target flight path when at least wind velocity information out of information included in the wind information in the target flight path exceeds a first threshold value, and sets a start point and an end point of the partial path on the target flight path.SELECTED DRAWING: Figure 1

Techniques for performing speaker error correction are described. In some examples, speaker error correction is a post-processing task to be performed on aligned predicted words and predicted one or more speaker identities to jointly perform speaker identities error correction and at least inverse text normalization, wherein the post-processing at least includes: predicting word and speaker contextual features from the aligned predicted words and predicted one or more speaker identities using an encoder, and predicting, from the word and speaker contextual features, inverse text normalization of the aligned predicted words and corrected speaker identities using a decoder.

The present invention discloses a method, system and medium for IQ imbalance correction of a zero-IF architecture transceiver; relates to the technical field; on the basis of traditional imbalance correction techniques, improvements are made in the method, making full use of the characteristics of the zero-IF architecture itself, and IQ imbalance correction is carried out at the receiving end and the transmitting end respectively. At the receiving end, the imbalance coefficient is calculated according to the received baseband data and the imbalance coefficient model, and the received baseband data is corrected with the imbalance coefficient; at the transmitting end, a first transmitted baseband signal and a second transmitted baseband signal are respectively configured at the transmitting end, the first characteristic quantity and the second characteristic quantity are obtained, and the first characteristic quantity and the second characteristic quantity are substituted into the correction coefficient model to calculate the correction coefficient to realize the correction of the original baseband signal. Through simple data acquisition and calculation, the compensation of the digital baseband signal is realized, thereby suppressing the amplitude of the image signal.

A cross-component-based correction technique for an intra predictor of a chroma block is disclosed. A video encoder or a video decoder may: generate first chroma prediction values for chroma samples of a chroma block by using an intra prediction technique; derive a cross-component model on the basis of luma prediction values for luma samples of a luma block corresponding to the chroma block and the first chroma prediction values; and generate second chroma prediction values for the chroma samples of the chroma block from reconstructed values for the luma samples by using the cross-component model. The video encoder or the video decoder may generate modified chroma prediction values for the chroma samples of the chroma block on the basis of a weighted average of the first chroma prediction values and the second chroma prediction values, and encode or decode the chroma block on the basis of the modified chroma prediction values.

This invention proposes a SAR ship target detection method based on external rectangular projection for generating and correcting tilted boxes. The OrpRPN sub-network in the two-stage target detection network uses external rectangular projection for decoding and convex quadrilateral correction techniques to generate high-quality tilted boxes, while the OrpReg sub-network corrects the tilted box positions. The parameters of the two-stage target detection network are iteratively updated using a smoothed L1 loss function and a KLD loss function. This invention avoids directly predicting the target's orientation angle by using the external rectangular projection representation method, effectively constraining the predicted tilted boxes and reducing the number of preset anchor points. The use of convex quadrilateral correction techniques to correct candidate boxes ensures correct orientation and removes redundant background information, thus improving the detection accuracy of SAR ship targets.

The present invention discloses a method for training a model with low communication overhead and high statistical efficiency in a distributed deep learning system. The method includes: a runtime data collector collects communication time t cm and computation time t cp data at runtime, and an adaptive communication interval selector automatically adjusts the communication interval τ based on the communication time and computation time data obtained through the above collection; the model is iteratively trained, and a correction technique is adopted to update the local model in each iteration; the global model is updated using a skip communication strategy every τ iterations. The present invention adaptively selects a communication interval τ based on the collected data. Based on this communication interval τ, the system updates the global model through network communication every τ iterations, thereby reducing the network communication overhead and ultimately shortening the time for training the model.

Techniques for positioning are disclosed. In an aspect, a positioning entity determines an expiration time for applying correction data to positioning measurements of one or more transmission points (TPs) (610), applies the correction data to one or more positioning measurements of one or more TPs obtained by a user equipment (UE) prior to expiration of the expiration time to determine one or more corrected positioning measurements (620), and determining an estimate of a position of the UE based at least in part on the one or more corrected positioning measurements (630).

This invention discloses a method and system for managing and analyzing medical report data in hematological diseases, belonging to the field of medical information processing technology. The system includes: S1, data acquisition and fingerprint generation; S2, time-series reconstruction and correction; S3, semantic parsing and standardization; S4, feature coupling and secure computation; and S5, report generation and audit updates. This invention utilizes a time-frequency domain dual-domain correction technique, which effectively eliminates periodic errors and fluctuations between different data sources and different acquisition time points, improving the accuracy and consistency of data processing. This correction method goes beyond traditional time alignment; it identifies and removes periodic interference in the signal through frequency domain analysis, ensuring time-series consistency between different sources. This ensures that even with multi-source data, the analysis results maintain high accuracy and reliability, avoiding erroneous diagnoses and recommendations due to data errors, thus providing a more accurate and reliable basis for clinical decision-making.

To provide a color shift correction technique in consideration of variation in frictional force between a photoreceptor and an intermediate transfer body.SOLUTION: The image forming apparatus includes an image forming unit configured to form an image based on a print job on a sheet by forming images with toners of different colors on a plurality of photoconductors that are rotationally driven, respectively, and transferring the images formed on the plurality of photoconductors to the sheet via an intermediate transfer member that is rotationally driven, a detection unit configured to detect the image formed on the intermediate transfer member, and a control unit configured to control the image forming unit to form adjustment images of the plurality of colors on the intermediate transfer member. And a control unit configured to perform correction processing of determining a correction value of a formation timing of an image of a first color among the plurality of colors on the photosensitive member based on a detection timing of the adjustment image of each of the plurality of colors by the detection unit, wherein the control unit changes the correction value depending on whether a first mode of forming a first additional image on the intermediate transfer member in addition to a user image is selected when the user image based on a print job is formed on a sheet.SELECTED DRAWING: Figure 5