74results about How to "Improve fidelity" patented technology

The invention provides a method for generating performance degradation data of a train air braking system. The method comprises the following steps: on the basis of a brake system of a preset model, analyzing three stages of pressure rise, maximum pressure and pressure stability of pressure change of a brake cylinder, and extracting a plurality of typical fault modes; based on an extended random process model with non-monotonicity and independent incremental property, three stages of pressure change of a brake cylinder and multiple typical fault modes are combined, and linear, nonlinear or stepped performance degradation process modeling of the train air brake system is carried out; overlapping normal distribution random noise on a performance degradation track generated by modeling, simulating a control precision error of an actual braking system, and optimizing a performance degradation process model of the train air braking system; and utilizing the train air braking system performance degradation process model to generate train air braking system performance degradation data in batches.

This invention provides an optoelectronic co-packaging structure and its packaging method. Utilizing the excellent optical transparency, thermal stability, and electrical insulation of a glass substrate, it combines through-hole electrical interconnects for electrical signal transmission and through-hole optical interconnects for optical signal transmission. Furthermore, it integrates optical components through dual-surface grooves, solving the problems of low optical interconnect efficiency, poor heat dissipation, and limited integration in traditional optoelectronic co-packaging. This significantly improves the optical interconnect efficiency, heat dissipation performance, and integration of the optoelectronic co-packaging structure. The invention also uses grooves to limit the electrical components, achieving precise alignment and transmission of optical signals and reducing optical coupling loss. Simultaneously, the overlapping of the orthographic projections of the two grooves causes partial vertical overlap of the two optical components, optimizing the optical path and thus greatly enhancing signal fidelity.

The application provides a training system for kidney stone minimally invasive surgery, a training method and a manufacturing method of a kidney model. The training system comprises a kidney model, an image acquisition device, a flexible piezoresistive sensor, a host computer and a display device. The kidney model is internally provided with a stone and a kidney pelvis filled with water. The image acquisition device is arranged at one end of a surgical instrument, used to enter the kidney model with the surgical instrument and acquire an intrarenal image. The flexible piezoresistive sensor is attached to the inner wall of the kidney pelvis near the abdominal side, used to generate an electrical signal according to the water pressure data in the kidney pelvis when the surgical instrument enters the kidney model. The host computer is used to analyze the electrical signal to obtain an intrarenal pressure parameter. The display device is used to perform a training task of the target level kidney stone minimally invasive surgery, obtain a position parameter of the surgical instrument in the kidney model according to the intrarenal image, and display the intrarenal pressure parameter and the position parameter in real time, so that a user operates the stone with the surgical instrument and evaluates the operation.

This invention discloses a virtual immunohistochemical staining method and system based on relation generative adversarial networks (GANs) and sequence slide data, comprising the following steps: Step S1, constructing a sequence slide dataset, wherein each H&E-stained slide is followed by three consecutive Ki67-stained slides; Step S2, constructing a relation generative adversarial network (GAN) model, the model comprising two ResNet generators and two relation discriminators, used to train and evaluate the credibility of the sequence relationship between image pairs; Step S3, performing two-stage training on the relation generative adversarial network model, namely, basic style pre-training and Z-axis alignment relation adaptation. This invention fundamentally solves the Z-axis alignment problem, resulting in higher image fidelity and pathological accuracy, significantly improving clinical application value, and providing new research resources and evaluation paradigms.

This invention discloses a baseline removal method for multi-channel magnetocardiogram (MCC) signals based on wavelet low-frequency reconstruction and morphological secondary smoothing. The invention includes: acquiring multi-channel MCC signal data; performing power frequency notch filtering on each channel to suppress the power frequency fundamental frequency and at least one harmonic component; performing configurable IIR low-pass filtering on the notched signal; setting a discrete wavelet transform extension mode and performing discrete wavelet decomposition on the filtered signal; selectively retaining decomposition coefficients based on the retention layer set and setting the remaining coefficients to zero, then performing inverse wavelet reconstruction to obtain an initial baseline estimate; performing morphological secondary smoothing on the median-smoothed baseline signal to obtain a corrected baseline signal; subtracting the corrected baseline signal from the filtered signal to obtain the baseline-corrected channel signals; and assembling and outputting a multi-channel baseline-corrected signal matrix. This invention can improve the stability and cross-channel consistency of baseline estimation for multi-channel MCC signals, reduce the risk of over-correction and under-correction, and is applicable to multi-channel batch processing scenarios.

This invention relates to the field of biotechnology, and more particularly to a mutant of the Rift Valley fever virus L protein and its applications. The amino acid sequence of the mutant is based on the amino acid sequence shown in SEQ ID NO:1, with mutations made at position 1189 (aspartic acid) and / or position 1205 (tryptophan). Through cryo-electron microscopy structural analysis and in vitro mismatch experiments, this invention has confirmed that both identified key amino acid sites are involved in regulating the synthetic fidelity of viral polymerase: mutation at N1189 decreases the synthetic fidelity of the polymerase, while mutation at W1205 increases it. This invention not only provides a new target for the development of attenuated vaccines but also provides crucial evidence for elucidating the molecular regulatory mechanisms of RNA virus fidelity.

The invention discloses a complex-material-oriented multi-path full-frequency global illumination neural rendering method and system, and belongs to the technical field of computer graphics, and the method comprises the steps: carrying out the scene query of light emitted by pixels, and obtaining a primary geometric buffer and a multi-path mixed geometric buffer of the multi-time ejection of the light; respectively extracting main frequency features and multi-path sub-frequency features in a neural feature field based on the two features; performing directed graph structured modeling based on the multi-path sub-frequency features to obtain propagation features representing light path propagation information and global features representing overall light path information; performing multi-path frequency joint feature fusion based on the dominant frequency feature, the propagation feature and the global feature to generate a fusion feature with a full-frequency feature; and estimating a final radiation brightness value of the pixel based on the fusion feature, and completing neural rendering of global illumination. According to the method, efficient modeling and high-quality drawing of multi-path full-frequency global illumination under a complex material can be realized, and the sense of reality and dynamic consistency of a rendered image are remarkably improved.

A flame imitation manufacturing device of a fireplace relates to a flame imitation manufacturing device for simulating the burning state in a fireplace in the field of household appliances. Said device comprises a housing, a cross flow fan and a light source mounted on a base plate of the housing, a simulated fire chamber mounted on a back plate of the housing, ribbons mounted on the back plate of the housing by means of upper and lower strip bars and above the cross flow fan, and a light-transmitting glass plate mounted on the housing and in front of said ribbons. This invention, characterized in that said cross flow fan is a swinging one, is advantageous in that supplying wind non-directively by utilizing the swinging of said fan improves the flying state of ribbons so as to make the image state of burning flames more vivid, greatly enhances the authenticity of flames and lowers the cost thereof, and thus is adaptable to various flame imitation electrical-heated fireplaces and electrical appliances.

The application relates to the technical field of magnetic detection, in particular to a method and a test system for coupling a magnetic gradiometer and a SQUID to improve sensitivity, which comprises the following steps: deploying at least one set of magnetic gradiometer probe arrays in a superconducting shielding environment to obtain original magnetic gradiometer tensor data streams of a target area; feeding a multi-channel SQUID front-end input coil through a superconducting transmission line; completing magnetic flux locking and amplification to generate a preliminary signal by the SQUID; suppressing environmental and SQUID background noise by using an adaptive digital noise reduction processor to obtain a high-fidelity magnetic gradiometer signal; and generating a high-resolution magnetic gradiometer distribution map through gradient reconstruction and spatial resolution enhancement. The superconducting shielding environment combines array acquisition to suppress external interference and retain complete tensor characteristics, and the superconducting transmission line combines a multi-channel SQUID to reduce transmission noise and cumulative error, so that the signal is closer to the original state, and the SQUID locking sensitivity and amplification fidelity are improved. The application improves the sensitivity of magnetic gradiometer detection and the accuracy of target identification.

The utility model discloses a kind of endoscope host equipment matched with multiple handles, including interface module and signal processing system, interface module is structured as MXM interface, for receiving the image data of handle image sensor acquisition, including digital interface and analog interface for connecting digital signal line and analog signal line respectively.Signal processing system is connected to interface module, including analog-digital converter, synchronous FIFO module, line buffer module and output port.Wherein, analog-digital converter is connected to the analog interface, for receiving analog signal and converting it into digital signal;Synchronous FIFO module is connected to the analog-digital converter and the digital interface, for receiving digital signal, and realizing data buffering;Line buffer module is connected to the synchronous FIFO module, for rearranging to form the image data of RAWData format to image data, and buffering to image data;Output port is connected to the line buffer module, for outputting digital signal.

The application relates to an image super-resolution reconstruction method and device based on anchor point guidance and boundary refinement cooperation, and belongs to the field of computer vision. The method comprises the following steps: performing shallow feature extraction on an input low-resolution image to obtain initial features; a deep feature enhancement network comprising multiple series cooperative reconstruction units is constructed, the initial features are input, and the initial features are sequentially enhanced by each unit; each unit performs anchor point routing global interaction and boundary perception region refinement on the input features to obtain global enhanced features and local refined features, the global enhanced features and the local refined features are fused through adaptive gating, and then the input features are fused through residual fusion, current cooperative enhanced features are output and are transmitted to the next unit, and finally, deep enhanced features are obtained; upsampling and pixel reconstruction are performed on the deep enhanced features, and a super-resolution image is output. The application considers long-distance structure dependence modeling and local boundary detail recovery, and realizes the cooperative optimization of global structure consistency and local detail fidelity under the constraint of lightweight deployment.

This invention relates to the field of digital audio signal processing technology, and more particularly to a method, system, device, and storage medium for automatic pre-gain compensation of a multi-band equalizer. The method includes: responding to an equalizer parameter change event, calculating the frequency response amplitude of each equalizer section on a full-band scan frequency point array; superimposing the amplitudes of each frequency point in the decibel domain to obtain the maximum combined gain value across the entire frequency band, and extracting the maximum combined gain value from the combined gain value; if the maximum combined gain value is greater than zero, calculating a negative pre-gain compensation value based on the maximum combined gain value, and injecting the pre-gain compensation value with uniform attenuation across the entire frequency band before the first processing node in the equalizer link, while simultaneously performing smooth transition control on the injection process. This invention eliminates the risk of digital clipping during multi-band equalizer superposition while maintaining tonal transparency, achieving a user-insensitive protection process, and possessing high fidelity and high practicality.

This invention discloses a drug-resistant Ewing sarcoma cell line, named human Ewing sarcoma cell ES 003, which was deposited at the China Center for Type Culture Collection on March 10, 2026, with accession number CCTCC NO: C202642. The cell line exhibits doxorubicin resistance; specifically, doxorubicin has an IC50 of [missing information - likely referring to an IC50 value] against the human Ewing sarcoma cell ES 003. 50 Above 5μM.

The application provides an image fusion method and device and a storage medium, and belongs to the technical field of image fusion.The method comprises the following steps: importing a high-resolution hyperspectral image to be fused, a high-resolution multispectral image to be fused, a plurality of original high-resolution hyperspectral images and an original high-resolution multispectral image; performing down-sampling processing on the original high-resolution hyperspectral images respectively to obtain original low-resolution hyperspectral images; and constructing a training model, wherein the training model comprises a feature analysis network, a target vector field construction network and a predicted vector field construction network.The application effectively avoids the spectral distortion problem caused by the difference in spectral response of a sensor in a traditional fusion method, and overcomes the defects of lack of constraints in the intermediate process and insufficient stability of results in a single-step regression method.

The invention discloses an MBD model-oriented cross-enterprise collaborative data exchange and interface generation method and system, and belongs to the technical field of computer aided design, and the method comprises the steps: analyzing a source end MBD model, extracting PMI annotation items, and calculating a semantic annotation coverage rate; analyzing a target system API, identifying MBD related function points and calculating an API function coverage rate; calculating a fidelity coefficient based on the double coverage rates and judging an interface generation strategy; constructing a dynamic mapping matrix, calculating an adaptive mapping score of each PMI item and generating an adaptive interface code; and after the interface trial operation, calculating the actual data exchange success rate and comparing the actual data exchange success rate with the fidelity coefficient, and if the deviation exceeds the tolerance, triggering a feedback mechanism to adjust parameters. According to the method, the problems of data loss and interface failure caused by data semantic loss or API (Application Program Interface) function insufficiency in cross-enterprise collaboration are effectively solved, and the fidelity of data exchange and the robustness of interface generation are improved.

This invention discloses a suboctave band equalization structure and a method for optimizing in-band flatness based on it, relating to the technical field of microwave circuits. The suboctave band equalization structure consists of a 50-ohm microstrip line, an absorption resistor, and a high-impedance line. The high-impedance line employs an S-shaped bend structure to reduce volume, and the absorption resistor's geometric dimensions are adjusted to precisely control the equalization depth. This invention utilizes the transmission characteristics of a resonator exhibiting high insertion loss at the center of the band and gradually decreasing insertion loss at both sides when the fundamental frequency reaches the second resonant frequency. This complements the transmission characteristics of a filter, which has low insertion loss in the center of the passband and gradually increasing insertion loss at both sides. This application can significantly improve in-band flatness by physically canceling passband edge losses through passive microstrip circuits while ensuring high matching performance with return loss better than -20dB. It has advantages such as simple structure, easy integration, and strong engineering applicability.

An event camera image reconstruction method based on an optical flow-guided multi-frame fusion network belongs to the field of computer vision and image processing technology. Step 1: Acquire event data and convert it into continuous, smooth spatiotemporal voxels using a Gaussian distribution-based full-time-interval voxel encoding scheme. Step 2: Construct an optical flow-guided FMF-Net network. Step 3: Design a comprehensive loss function for training the FMF-Net network. Step 4: Supervised training of the FMF-Net network using a publicly available event dataset. Step 5: Utilize the trained FMF-Net network, input spatiotemporal voxels, and output a high-fidelity reconstructed image. This invention fully utilizes long-term motion cues and temporal dynamic features to achieve high-fidelity image reconstruction under high-speed motion and sparse event input, solving the problems of detail loss and poor consistency in reconstruction under dynamic scenes in existing methods, and significantly improving the structural similarity and visual quality of the reconstructed image.

This invention relates to the field of virtual reality technology, and more particularly to a method and system for basic medical virtual experimental teaching. The method includes constructing a physiological digital twin model; achieving real-time bidirectional coupling of macroscopic and microscopic physiology through a dynamic simulation engine; compiling trainee operations based on force feedback devices and providing interaction; utilizing a knowledge graph to trace errors and create competency profiles for the operations, and generating personalized feedback. This invention significantly improves the physiological fidelity and teaching relevance of virtual experiments.

The invention relates to the technical field of digital twinning, and discloses a 3D chip design simulation modeling method and system based on the twinning technology, and the method comprises the steps: obtaining physical field simulation data, carrying out the feature fusion of thermal stress and thermoelectric coupling through solving a thermal expansion vector field, and obtaining a preliminary mapping relation; according to the preliminary mapping relation, nonlinear cumulative effect calculation of the dynamic power consumption density is carried out, and a final cumulative effect value is obtained; according to the final cumulative effect value, adjusting an interconnection material, and correcting an index set; according to the correction index set, deviation quantitative calculation is carried out through heat flow evolution path analysis, and a thermal resistance degradation deviation matrix is obtained; according to the thermal resistance degradation deviation matrix, Pareto front inflection point extraction is carried out, and balance configuration is obtained; according to the balance configuration, non-dominated declusters meeting a preset critical power consumption threshold value are screened out, and candidate declusters are obtained; and according to the candidate declusters, screening out the optimal configuration, and outputting a final optimization scheme. The method can reduce the abrupt change risk of the chip degradation rate.

The application discloses a downhole information interpretation method and system based on drill bit vibration data, and the method comprises the following steps: integrating an intelligent sensing module in the water eye of an existing drill bit, collecting downhole vibration data and environmental parameters in the drilling process at a high sampling frequency; synchronously aligning the downhole vibration data and the ground drilling parameters; calibrating and compensating the synchronized vibration data by using the environmental parameters and extracting features to obtain a vibration feature parameter vector reflecting the interaction between the drill bit and the stratum; and identifying the stratum lithology or the drilling working condition based on the vector and in combination with the environmental parameters. The application solves the problems of information distortion and low resolution caused by the fact that the sensor is far away from the drill bit and the data bandwidth limitation of the traditional measurement-while-drilling system, provides an unprecedented high-precision data basis for post-drilling fine analysis, geological model calibration and future drilling decision optimization, and the good compatibility with the existing drill bit does not require redesign and manufacture of the drill bit, thereby significantly reducing the application cost.

This invention provides a method and apparatus for joint system simulation verification based on multi-source data injection. Based on a preset task objective, the invention constructs a virtual training environment model in a simulation platform, including geographical environment, force units, task scenarios, and dynamic interference factors. Realistic simulation data is dynamically generated based on the virtual training environment model. False feature codes and dynamic intensity noise signals are generated, purified, and then injected into the real system under test to generate corresponding control commands. These control commands are fed back to the simulation platform, driving the entity state update in the virtual environment and evaluating performance indicators through a digital twin module. This invention can accurately reproduce the joint system operation state under complex real-world scenarios, comprehensively evaluate system functionality, real-time performance, anti-interference capabilities, and decision optimization, significantly reduce verification costs, and provide technical support for the stability and reliability of multi-system joint operation.

This invention discloses a power system frequency prediction method based on coupled state recursive constraints and deep Koopman modeling. The steps include: acquiring simulated frequency data and performing data preprocessing to obtain local fast-changing frequency deviation signals; constructing phase space trajectory vectors through time-delay embedding processing; building a deep Koopman model; using an encoder to elevate the phase space trajectory vectors to the observable space; performing linear state evolution of the frequency state vectors in the observable space using a linear Koopman operator matrix; and projecting the observable space states back to the original state space using a decoder to output predicted values ​​of the local fast-changing frequency deviation data; constructing the total loss; acquiring frequency trajectory data output by grid-following and grid-connected equipment; and training the deep Koopman model; and obtaining the frequency prediction results based on the trained deep Koopman model. This invention can replace full-order electromagnetic transient simulation for rapid analysis in large-scale scenarios, improving computational efficiency.

The present disclosure relates to an audio processing method, device, electronic equipment and storage medium. The method is applied to an audio recording device having at least two microphones. The method comprises: obtaining original audio signals collected by each microphone of the at least two microphones; performing directional audio processing on the original audio signals collected by each microphone using a spatial filter according to a target sound source direction and an end-fire direction of each microphone to obtain a first audio signal; and performing gain processing on the first audio signal according to an original audio signal collected by a target microphone of the at least two microphones and the first audio signal to obtain a second audio signal, wherein the end-fire direction of the target microphone matches the target sound source direction.

To achieve the above objectives, this utility model provides an integrated device for demolding and surface treatment of cured wind turbine blades, comprising: a supercritical CO2 (carbon dioxide) demolding unit, including: a reaction vessel for containing the cured blade and mold; and a fluid system connected to the reaction vessel via pipeline, the fluid system including a CO2 storage tank, a high-pressure pump, and a heater; a laser surface treatment unit, including: a laser; an optical path system including a reflector and a focusing lens to guide and focus the laser emitted by the laser onto the surface of the cured blade; and a defect detection system including a collecting mirror and a spectrometer; wherein the laser surface treatment unit is located downstream of the supercritical CO2 demolding unit. This utility model fundamentally solves the problems of process separation and low efficiency in existing technologies by physically integrating the supercritical CO2 demolding unit and the laser surface treatment unit into a single structure.

The application discloses a kind of gear box online fault diagnosis methods based on digital twinning, first, based on acceleration, displacement, piezoelectric sensor etc., gear box parameter is collected, obtains the complete data information of gear box, including static data and dynamic data;Second, according to static data and dynamic data, the digital twin model of gear box is constructed, and the cosine similarity value of the digital twin model of gear box constructed and entity equipment vibration signal is used as the measurement standard of model updating, the characteristic parameter of gear box is optimized, the model is dynamically corrected, the real-time synchronous digital twin model of gear box is obtained, the "virtual-real linkage" of gear box is realized;Then, by predefining gear box fault type, gear box fault mechanism analysis is carried out, and twin fault data is generated, compared with measured data;Finally, according to the diagnosis result, the running parameter of gear box is optimized and controlled in real time, realizes gear box online fault diagnosis and equipment health management.

The present disclosure relates to an image style transfer method, device, equipment, storage medium and program product, the method comprising: obtaining a to-be-processed image and a style image; performing noise processing on the to-be-processed image to obtain a first noise image; removing at least part of low-frequency components in the first noise image to obtain a second noise image; extracting style information of the style image, and performing denoising processing on the second noise image based on the style information to obtain a style transfer image. By removing at least part of low-frequency components in the first noise image, the embodiment can highlight the high-frequency component part of the image, so that the obtained style transfer image not only has the style characteristics of the style image, but also can improve the fidelity of the image content. Moreover, the data and time costs caused by additional model training can be avoided, thereby the processing efficiency of style transfer can be greatly improved.

This invention discloses a generative recommendation system and method based on quantized vector retrieval and LLM, belonging to the technical field of computer information processing and artificial intelligence recommendation systems. The method includes: Step S1, extracting continuous collaborative features of users and items; Step S2, constructing and pre-training an AHPQ segmenter quantization module, mapping continuous collaborative features to discrete ID token sequences and optimizing the quantized codebook; Step S3, using the pre-trained codebook vector to collaboratively initialize the LLM's token embedding layer; Step S4, fine-tuning the LLM using a freeze-adapt strategy, and then generating user preference vectors through a collaborative semantic fusion module; Step S5, calculating the similarity between the user preference vector and the item database vector, and retrieving Top-K items based on cosine similarity as the recommendation result. This invention solves the problems of ID discretization difficulties and collaborative signal loss in LLM recommendation, preserving the high-order collaborative structure while leveraging the semantic reasoning capabilities of LLM, and simultaneously achieving efficient reasoning and cold-start generalization.

The present application belongs to the technical field of radar target simulation, and relates to a high-resolution near-range radar target simulation method and system based on a DRFM. The present application completes target modeling through a dynamic filter network, generates a target feature sequence that dynamically changes with a radar field of view; completes inherent delay calibration and cross-cycle compensation parameter calculation through measurement; after receiving a radar transmission signal, obtains a zero intermediate frequency IQ signal through frequency conversion, sampling and mixing; completes convolution modulation of the IQ signal and the target feature sequence through an adaptive segmented convolution algorithm, generates a high-resolution target echo signal; superimposes Doppler frequency shift and distance offset, completes digital-to-analog conversion and radio frequency up-conversion after cross-cycle compensation, and outputs a target echo radio frequency signal. The present application greatly reduces the calculation complexity and hardware cost of high-resolution target simulation, realizes multi-signal system adaptation for super-near-range simulation, effectively suppresses Doppler spread distortion in a large bandwidth scene, and has wide applicability.

The application provides a 3D interface color difference solution method, system, device and medium, wherein the method comprises creating a temporary color buffer and a temporary template buffer, the size of the temporary color buffer and the temporary template buffer is the same as the pixel size of the rendering screen; writing the pixel point color information of the UI object into the temporary color buffer; writing the pixel point occlusion information of the UI object into the temporary template buffer; after tone mapping the 3D picture, updating the pixel points of the UI object according to the temporary color buffer and the temporary template buffer. The application is used to solve the technical problem of poor 3D interface rendering effect in the related art.

This invention relates to the fields of geotechnical engineering and intelligent construction technology, specifically to a large-section trenchless tunnel settlement control and optimization system based on interlocking pipe curtain support. The system includes a central processing unit and connected modules for fluid characteristic sensing, transient impedance inversion, working condition judgment, and dual-mode adaptive control. The fluid sensing module periodically executes pulse excitation and collects fluid dynamic responses. The transient impedance inversion module calculates the equivalent sealing stiffness index characterizing the interlocking seal based on a leakage model. The working condition judgment module marks the grouting area as loose or dense by comparing it with a safety threshold. The dual-mode adaptive control module generates instructions accordingly, driving the grouting mechanism to perform pulsed intermittent or quasi-continuous stepped pressurization injection operations. This invention achieves effective control of surface settlement while ensuring that the underground concealed structure is not damaged.