63results about How to "Guaranteed fidelity" patented technology

The invention provides an unmanned aerial vehicle quantum network entanglement routing method with guaranteed fidelity. The method comprises the following steps: step 1, establishing entanglement connection between adjacent quantum nodes; step 2, establishing a path selection method with end-to-end fidelity as measurement; step 3, an entanglement purification method of hop-by-hop multiple attempts; and step 4, an evaluation method based on network throughput. The method is used for solving the problem of lack of unmanned aerial vehicle quantum entanglement network routing protocols, an entanglement purification scheme for guaranteeing the fidelity is given, and the end-to-end fidelity is effectively guaranteed. According to the method, the entanglement switching path taking the end-to-end fidelity as the routing metric is selected, so that the network throughput is further enhanced, and the quantum nodes of the unmanned aerial vehicle are protected.

The invention relates to the technical field of data processing, in particular to a knowledge graph construction method and device, equipment and a storage medium, and the method comprises the steps: obtaining an industrial field general knowledge graph to construct a training data set, and training a block model based on the training data set; inputting the obtained private data to be constructed into the block cutting model to obtain a text block; acquiring example data, and inputting the text block and the example data into a pre-constructed large language model to obtain graph data; generating a weighted graph based on the graph data, and performing graph recursion clustering processing on the weighted graph to obtain community structure information; processing the community structure information by adopting a graph embedding algorithm to obtain a knowledge graph corresponding to the private data to be constructed; according to the method disclosed by the invention, the block cutting flexibility and the block cutting accuracy can be improved in the face of various types of industrial private data by pre-training the block cutting model, so that the information fidelity and the time complexity are balanced, and the quality of the generated text block is greatly improved.

The invention relates to the technical field of computers, in particular to an image stylized editing method and device for a three-dimensional scene, equipment and a medium. The method comprises the following steps: acquiring a source three-dimensional model, a reference style image, a first image stylization editing network and a second image stylization editing network; obtaining content features of the to-be-edited image and style features of the reference style image; respectively optimizing two image stylization editing networks added with a low-rank adaptation function by using image diffusion loss to construct a third image stylization editing network, inputting the to-be-edited image and the reference style image into the third image stylization editing network for processing, and outputting a single-view image after stylization editing; and iteratively updating the stylized and edited single-view image by using an optimization strategy based on 3D content and style combination to obtain a stylized and edited 3D model. According to the method, the stylization effect of the reference style image is improved, and the fidelity and multi-view consistency of the 3D content are ensured on the premise of consistent styles.

The embodiment of the invention provides a generation method and generation equipment of a digital human interaction video. In the method, after a generation device obtains a target voice, a basic video and a facial image set can be obtained from a pre-constructed material library, key phoneme switching information corresponding to the target voice can be obtained by mapping each original phoneme in the target voice into one of a plurality of key phonemes, and in addition, the key phoneme switching information corresponding to the target voice can be obtained. Based on the facial image set and the key phoneme switching information, a target facial image sequence matched with the phoneme change condition in the target voice can be generated, and then the target facial image sequence is attached to the facial region of the digital human in the basic video to obtain a target video.

The invention relates to the field of aviation flight tests, and discloses a flight test airborne data unified recording and processing method, system and device and a computer readable storage medium. The method comprises the following steps: receiving an external time code time service signal, and generating a synchronization timestamp for performing time synchronization on each module in a system; collecting multi-source data streams from a network interface, an analog quantity PCM interface, a video interface and a 1553B interface; performing protocol conversion and format standardization processing on the multi-source data stream to obtain a data stream with a uniform format; based on a data fusion algorithm, carrying out fusion processing on the standardized data streams to generate a fusion data sequence in a unified format; performing grading processing on the fused data sequence according to the importance of the data; performing adaptive compression processing on the graded data sequence to generate a compressed storage data sequence; and transmitting the compressed data storage sequence to a ground station through a wireless transmission protocol. According to the invention, the flight test efficiency is effectively improved.

The invention relates to the technical field of image processing, and particularly discloses a virtual clothes changing system based on an AI algorithm, and the system comprises a preprocessing module which carries out the filling, size adjustment and normalization processing of a first image; obtaining a user portrait and obtaining a target image; the visual large model processing module is used for mapping the second clothing image, the noise image and the target image to a high-dimensional space; performing feature extraction on the second clothing image in the high-dimensional space to obtain a first feature; splicing the noise image and the target image in the high-dimensional space to obtain a standard image, and performing feature extraction on the standard image to obtain a second feature; fusing the first feature and the second feature, and obtaining a virtual fitting image; and the post-processing module is used for obtaining a fitting portrait and obtaining a virtual fitting effect image according to the fitting portrait and the user background. According to the method, various types of clothes can be stably tried on, and meanwhile, natural textures, wrinkles and actual lengths of the clothes in a real dressing state are presented.

The invention discloses a multilayer printed circuit board wiring process, and relates to the technical field of electronic circuit board manufacturing, and the method comprises the steps: obtaining a wiring target and preset parameter conditions of a multilayer printed circuit board; calculating a target connection mode by adopting a circuit board wiring model based on the wiring target of the multi-layer printed circuit board and preset parameter conditions; coating photoresist on an inner-layer copper foil of the middle-layer substrate, transferring a circuit pattern to the copper foil through exposure and development processes according to a wiring target path, target layer selection, a target via hole position and a target element position, and drilling at a specified position by using a drilling machine; forming a conductive layer on the hole wall of the hole through an electroplating process; and repeating the manufacturing process of the inner layer of the middle-layer substrate on the outer-layer copper foil of the middle-layer substrate according to the wiring target path, the target layer selection, the target via hole position and the target element position to form an outer-layer circuit pattern. The efficiency of the wiring process of the printed circuit board is improved.

The invention provides a method for making a virtual riding route based on a live-action route, and the method comprises the following steps: S1, video collection: collecting video materials through shooting equipment, recording accurate data, and generating a riding file; s2, video analysis and processing: importing and analyzing video materials frame by frame, and performing segmentation processing on the video according to route characteristics; s3, model construction and calibration: performing point location marking according to the data obtained in the step S2, drawing a 3D model in combination with the marked point location data, and performing data matching and calibration; s4, video road book generation: comparing data in the data file and the. Fit file to generate a detailed video road book; s5, user access and equipment interconnection: establishing a user database, connecting the riding equipment with App software, and establishing a data interaction protocol; s6, model dynamic adjustment and riding feedback: performing model action fine adjustment according to data in the video road book; and giving corresponding feedback to the user according to the operation of the user and the riding equipment data.

The invention relates to an anti-interference circuit, an anti-interference method, an anti-interference device, a control module and a building control system, and relates to the technical field of anti-interference. The anti-interference circuit is arranged between a first device and a second device and comprises one or more first lines and a control module, each of the one or more first lines comprises a controllable switch module and a filtering module, the parameters of the filtering modules in different first lines are different, and the parameters of the filtering modules in different first lines are different. The first end of the controllable switch module in each first line is connected with the control module, the second end is connected with the first end of the filtering module in the same first line, the third end is connected with the grounding end of the first device, and the second end of the filtering module in each first line is connected with the grounding end of the second device. And the control module is configured to select to open the controllable switch modules in part or all of the one or more first lines according to the working frequency of the first equipment and the working frequency of the second equipment.

According to the hoisting mechanism and the sound box, through the arrangement of the hoisting assembly and the reinforcing assembly, the distribution of force in the hoisting process is more uniform, the structural stability of the shell is greatly enhanced, and therefore deformation is avoided. And secondly, as the deformation problem is effectively solved, the interference of the deformation of the shell on an acoustic structure in the sound equipment is avoided, so that the distortion or weakening of sound output is prevented, the stability of the sound equipment in the hoisting process is ensured, and the definition and fidelity of the sound output are further ensured.

The present application provides a kind of night image halo removal method, including constructing prior knowledge, according to prior knowledge, construct initialization network and depth unfolding network, using initialization network to extract variable initial value set from night halo pollution image;Night halo pollution image and variable initial value set are input into depth unfolding network and are operated multiple iterations, and the final halo removal image is extracted from night halo pollution image;Wherein, depth unfolding network includes multiple proximal networks, and each proximal network participates in an iteration operation.The present application makes full use of prior knowledge, uses the depth unfolding network with multiple proximal networks to iterate mapping diagram, halo-free feature map, constraint variable and halo removal image, so as to extract the final halo removal image, to better preserve image texture and restore image details, under the premise of not increasing application cost, the halo and stripe artifact in image are preferably removed.

The invention relates to the field of data transmission, in particular to an internet of things data adaptive compression method and system based on edge computing, and the method comprises the steps: obtaining a historical data set and a to-be-compressed data set, calculating the correlation degree of a target dimension and a contrast dimension, segmenting the to-be-compressed data set, and clustering all segments; calculating the data anomaly probability of the target dimension in the target cluster; calculating a data adaptive compression deviation value of the target dimension in the target segment; calculating an upper door slope and a lower door slope of a target point in a target dimension based on a revolving door algorithm, calculating an upper door effective slope of the target point in the target dimension, similarly obtaining a lower door effective slope, obtaining a compression starting point of the target dimension based on the upper door effective slope and the lower door effective slope, and similarly obtaining a compression ending point; and compressing the data of the target dimension. According to the technical scheme, compression resource consumption can be reduced, and compression efficiency can be improved.

This invention discloses an attention acceleration method, apparatus, device, and medium based on a diffusion model. The method includes: acquiring the input feature set, current time step, and local window parameters corresponding to a target multi-head attention module in a target diffusion model; reshaping the shape of each input feature in the input feature set based on a preset tensor format to obtain a three-dimensional feature set; determining a feature recombination strategy corresponding to the three-dimensional feature set based on the current time step, and recombinating the three-dimensional feature set based on the feature recombination strategy to obtain a target feature result set corresponding to the target multi-head attention module; and performing local window attention calculation on the target feature result set based on the local window parameters and the feature recombination strategy to obtain the target attention result corresponding to the target multi-head attention module. Through the technical solution of this invention, efficient acceleration can be achieved while maintaining generation quality, improving the actual utilization rate of hardware.

The invention discloses a quantum state preparation method and device based on sparse real vectors, a medium and equipment. The method comprises the following steps: performing non-zero element position migration on a sparse real vector to obtain a first transformation real vector; carrying out dimension reduction processing on the first transformation real vector to obtain a second transformation real vector which comprises all non-zero elements and needs the least number of quantum bits; performing zero element position migration on the second transformation real vector to obtain a third transformation real vector with the least number of required quantum gates; executing amplitude coding based on the third transformation real vector to construct a third quantum circuit to obtain a third quantum state; applying a second unitary gate to the third quantum circuit to construct a second quantum circuit to obtain a second quantum state; executing a tensor zero state on the second quantum circuit to construct a first quantum circuit, and raising the dimension to obtain a first quantum state; and applying a first unitary gate to the first quantum line to construct a target quantum line, and obtaining a target quantum state of the sparse real vector. According to the invention, amplitude coding quantum state preparation can be efficiently realized.

The present invention discloses an efficient federated learning security aggregation method based on a symmetric homomorphic encryption algorithm. Multiple users will encrypt local gradients with the public key of a central service, and then send the ciphertext to an aggregation server. After aggregation, the aggregation server sends the aggregated ciphertext to the central server, which decrypts the ciphertext to obtain a global gradient. The technical solution proposed by the present invention adopts a homomorphic signature scheme to verify the global model parameters to ensure the correctness of the aggregation results. It can overcome potential threats such as privacy leakage and data forgery in federated learning, ensure the security and reliability of data, and reduce computing and communication overheads.

The invention provides an image fusion method and device, and belongs to the technical field of image fusion, and the method comprises the steps: importing a plurality of original high-resolution hyperspectral images, and carrying out the down-sampling analysis of the original high-resolution hyperspectral images, and obtaining an original low-space hyperspectral image and an original high-space multispectral image; performing fusion analysis on the original low-space hyperspectral image and the original high-space multispectral image through a training model to obtain a target high-resolution hyperspectral image; and updating and analyzing the training model according to the target high-resolution hyperspectral image and the original high-resolution hyperspectral image to obtain an image fusion model. According to the method, the fidelity of the space and the spectrum of the fused image is kept, the calculation requirement is reduced while the spectrum and the space information are recovered, the calculation complexity is also reduced, better algorithm interpretability is achieved, and therefore a more accurate fusion result is obtained.

The invention discloses a video compression method based on motion estimation and affine transformation substitution. The method comprises the following steps of: 1, performing feature analysis and initial coding on an image to realize initial compression of an original video frame, and establishing spatial geometric association between adjacent frames; 2, mapping high-resolution homography to a low-resolution coding space by using a down-sampling matrix based on spatial geometric correlation to obtain a down-sampling homography matrix; step 3, according to the mask region of the moment coding data obtained by calculation in the step 2, separating to obtain a code of a cutting background, namely a code of an increment background, and realizing differential compression; and 4, according to the codes of the incremental background obtained in the step 3, the decoding end combines the stored codes at the T-1 moment to splice and fuse reconstructed coding data at the T moment, and then video frames are decoded. According to the invention, the adaptive compression coding capability for different regions in the video compression process is effectively improved.

The present application proposes a biological signal processing system, a biological signal processing method and an electronic device. The system includes: an in-vivo module, including a signal acquisition unit, an amplitude modulation unit, and a first communication unit, wherein the amplitude modulation unit includes a local oscillator signal generating unit and a modulation unit; an in-vivo module, including a second communication unit, a signal demodulation unit and a signal processing unit. The present application modulates the original biological signal and transmits it to the outside of the body, demodulates the signal by a signal demodulation unit in the body, and then injects the signal output by the signal demodulation unit into the signal processing unit for processing, and then determines the biological body information. The present application places large-volume, high-power-consumption and heat-prone devices such as signal processing units outside the body, and the in-vivo module only retains the signal acquisition unit, the amplitude modulation unit and the first communication unit for collecting the original biological signal, which can reduce the volume of the in-vivo device, improve the user's comfort, and reduce the burden on the power supply of the in-vivo device.

The invention discloses a command training method and device based on digital twinning, a storage medium and equipment. The method comprises the following steps: acquiring a training plan, training basic data, a training scenario file and a training communication networking contact file which are prepared by group training personnel on a guide, cutting and evaluation integrated component; the control expression component loads the training basic data according to the training scenario file and arranges a training plan after the training scenario file is loaded; and when a training control command issued by group trainees on the guiding, cutting and evaluating integrated component is received, the multi-platform bridging agent component is linked with the corresponding type systems of different virtual and real types to train the training plan. The problem that in the prior art, when command training is carried out, the training cost cannot be controlled, and the training simulation degree cannot be guaranteed at the same time is solved.

The invention provides a rolling bearing multi-working-condition data expansion method based on digital twinning, and the method comprises the steps: collecting original vibration signals of a rolling bearing under various working conditions through a physical experiment table system, and recognizing an equivalent boundary condition; solving the six-degree-of-freedom coupling dynamic model to obtain an acceleration vibration signal for fault diagnosis; performing model fault verification on the six-degree-of-freedom coupling dynamic model through the five evaluation dimensions to obtain a high-fidelity model; based on the high-fidelity model, utilizing an AGA algorithm and a KAN network to construct a nonlinear mapping relation between a working condition and an optimal physical parameter vector, outputting an accurate model parameter suitable for a new working condition, and obtaining an adaptive digital twinborn model; and automatically generating a hybrid enhanced data set by utilizing a batch processing interface of the constructed virtual interaction platform. According to the method, data generation and expansion of the rolling bearing under multiple working conditions can be realized, and rich and controllable data support is provided for fault diagnosis, health monitoring and model training.

The invention provides a residual echo suppression method and system based on an expander. The method comprises the following steps: converting a collected audio signal into a first frequency domain signal; calculating an inhibition factor of each sub-band; calculating a residual echo suppression loss ratio of the full frequency band, judging whether the loss ratio exceeds a preset threshold, if so, inputting the suppression factor of each sub-band into a downward expander for processing, and then processing by an upward expander to obtain a processed suppression factor; otherwise, not processing the suppression factor of each sub-band; processing the first frequency domain signal by adopting the obtained suppression factor of each sub-band to obtain a second frequency domain signal; and converting the second frequency domain signal into a time domain signal and outputting the time domain signal. According to the invention, a dual-mode residual echo suppression model is set for a duplex call scene, voice signals are reserved to the maximum extent, voice interruption is avoided, and call quality and user experience are improved.

This invention provides a self-supervised arbitrary-scale point cloud upsampling method and system, including: automatically adjusting the point density of midpoint interpolation using a local geometric feature analysis module to construct an intermediate candidate point set; obtaining interpolation points by controlling the arbitrary-scale upsampling ratio of the intermediate candidate point set through farthest-point sampling technology; introducing an implicit surface projection optimization mechanism, using the interpolation points as seed points for two-stage optimization, and achieving surface projection by estimating the projection direction and projection distance through an implicit neural function; and optimizing the boundary feature representation of the surface projection by generating a two-dimensional projection map through dynamic scaling of the sparse input point cloud based on a pseudo-true value projection comparison mechanism based on point cloud scale transformation. Through adaptive dynamic neighborhood optimization of local geometric features, arbitrary-scale upsampling ratio control, combined with estimation of projection direction and projection distance, and pseudo-true value projection comparison mechanism, the method ensures geometric detail fidelity, point cloud uniformity, and arbitrary-scale generalization ability.

The application provides an intelligent pre-control system and method for engine cold-heat shock test, wherein the method comprises the following steps: receiving real-time state data through a prediction module, combining a working condition instruction generated by a main working condition control module, and online simulating and predicting a future thermal state of a measured engine under a current to-be-executed working condition instruction; an intelligent scheduling unit dynamically decides whether to insert a pre-adjustment step before execution of the current to-be-executed working condition instruction based on the future thermal state, and determines a starting time and a duration of pre-adjustment; if it is decided to insert, an adaptive control instruction is generated, otherwise the current to-be-executed working condition instruction is taken as a to-be-executed instruction; and an execution control module drives an execution mechanism group to operate a temperature control system according to the adaptive control instruction or the to-be-executed instruction. The application is suitable for a working condition switching process of engine cold-heat shock test, can inhibit temperature overshoot caused by system thermal inertia through active prediction and advanced intervention, and guarantees test data accuracy and improves test efficiency.

This disclosure relates to the field of geophysical exploration technology, and particularly to a bubble response suppression method, apparatus, medium, and product based on seismic oceanography. The method includes: acquiring raw marine seismic data, which exhibits a bubble response; simulating the raw marine seismic data using a far-field wavelet to obtain a first wavelet; extracting a second wavelet from the raw marine seismic data using statistical methods; performing high-order autocorrelation fusion processing on the low-frequency signal of the second wavelet and the high-frequency signal of the first wavelet to obtain a fused desired wavelet; and applying the fused desired wavelet to the raw marine seismic data to perform bubble response suppression processing, thereby obtaining target marine seismic data. Therefore, the bubble response suppression method based on seismic oceanography provided in the exemplary embodiment of this disclosure not only effectively suppresses the bubble response but also avoids the influence on high-frequency components in the data.

The invention discloses a single image rain removal method based on a meta-learning relation and a representation learning network. The method comprises the following steps: 1, obtaining a data set of a rainy day image and a corresponding clean image; 2, calculating the similarity through the constructed similarity function; 3, substituting the similarity into a ternary loss function to train and update a relation vector so as to capture and store the characteristics of rainwater stripes; 4, designing a target function to train and update an encoder based on a meta-learning discriminator so as to learn the characteristics of rain / clean images; 5, designing a target function to train a rain removal network generator; 6, the trained parameters are substituted into the constructed image rain removal function, and a general process of the rain removal method is obtained; and 7, inputting a rainy day image according to the image rain removal function to obtain a corresponding clean image. According to the method, the fidelity of the background in the image in a rainy day can be ensured, image rain removal of infinite complex scenes can be better realized, and the generation quality of a clean image and the generalization ability of a rain removal task can be improved.

The application discloses a kind of high-efficiency channel measurement methods based on sparse non-uniform frequency sampling and likelihood correction SAGE algorithm, belong to wireless communication and channel measurement field.The method significantly reduces the number of measurement frequency points under the premise of ensuring no time delay ambiguity, improves measurement efficiency, reduces data volume and post-processing complexity;By constructing the likelihood correction factor of frequency-time delay correlation, compensate the influence of molecular absorption and non-uniform frequency step, so that the main lobe shape of likelihood under non-uniform sampling is equivalent to dense uniform sampling, so as to maintain the time delay resolution;Embed the likelihood correction factor into the M step of SAGE algorithm, construct LR-SAGE algorithm, realize high-precision estimation of multipath time delay and gain.In actual 280~300GHz terahertz channel measurement platform, realize the acquisition of large-scale through-sensing integrated channel data set with tens of times improvement in scale while the measurement time is basically unchanged.

The application discloses a kind of high-efficiency human posture estimation methods for embodied intelligent interaction, including feature extraction module, including convolution, for carrying out down-sampling to input image, obtain image down-sampling feature;Multi-stage posture representation module, the multi-stage posture representation module is composed of three dynamic Token perception stages, respectively using first dynamic Token perception submodule, second dynamic Token perception submodule and third dynamic Token perception submodule are realized, three dynamic Token perception submodule network structure is same, and all includes Token aggregation unit and mixed scanning unit;Image down-sampling feature is serialized and input to multi-stage posture representation module, for from coarse to fine perception human key point position in the image down-sampling feature.The application enhances the modeling capacity of human key point local and global information, realizes accurate, efficient posture estimation under lower computational load, improves the execution effect of robot, embodied intelligent interaction and other related tasks.

The invention relates to the field of text processing, and particularly provides a public health investigation text analysis method and system based on natural language processing. The method comprises the steps of performing shielding operation on style text paragraphs in a public health investigation text to obtain a style shielding text; performing core information extraction on the investigation theme content in the public health investigation text to obtain an investigation core information paragraph; the style text paragraph comprises an investigation content style text paragraph in the investigation theme content; performing placeholder replacement on style text paragraphs in the public health research text to obtain a paragraph placeholder sequence; according to the target style text, the research core information paragraph and the paragraph placeholder sequence, style text reconstruction is conducted on the style shielding text, and a style fusion research text fused with the text style contained in the target style text is obtained. The text style replacement accuracy can be improved.

The utility model provides a digital audio and video signal transmission processing device with link fault analysis, which relates to the technical field of signal transmission equipment and comprises a device body and a working mechanism, the upper end of the device body is fixedly connected with the working mechanism, and when the device is used, the working mechanism is connected with the device body. The combination of the supporting assembly and the damping assembly not only ensures the firm installation of the equipment, but also effectively isolates vibration and impact, protects sensitive internal electronic assemblies, the ingenious layout of the circuit fixing assembly makes cable management orderly, simplifies the maintenance and upgrade process of the equipment, the chip assembly is the core of the equipment, and the cost is reduced. A plurality of signal processing functions are integrated, high quality of signals in the conversion, amplification and distribution process is ensured, the precision signal chain assembly further improves the system performance, the signal conversion accuracy and amplification fidelity are ensured, in addition, the basic assembly provides a friendly operation interface for a user, and the user experience is improved. And function selection and parameter adjustment become visual and convenient.

The invention provides a video coding technology-based energy storage cell data low-cost high-efficiency cloud uploading method, and also provides a cloud uploading system and a computer readable medium, so that the technical problem that cloud uploading cannot be realized at all due to too large data in the existing power system, especially in the field of processing huge energy storage cells, can be solved, and the energy storage cell data cloud uploading efficiency can be improved. Specifically, a video coding technology is innovatively applied to the field of energy storage cell data cloud loading, and a new data transmission and processing mode is developed.