57 results about "Fine resolution" patented technology

The invention discloses a frequency source synthesis system and method based on a frequency agility radar, and belongs to the technical field of microwave radio frequency, and the method specifically comprises the steps: generating a target clock signal, carrying out the frequency processing of the target clock signal to generate a frequency multiplication signal, and dividing the frequency multiplication signal into two clock signals through a power divider; performing frequency multiplication processing on one path of clock signal, taking the processed signal as a clock reference signal of a direct digital synthesizer, generating an analog signal according to the clock reference signal, and calibrating the analog signal as an output signal; performing frequency multiplication processing on the other path of clock signal, and taking the processed clock signal as a local oscillation signal of the frequency mixer; performing frequency conversion processing to obtain a frequency mixing signal, performing quadruplicated frequency processing on the frequency mixing signal, and calibrating the processed frequency mixing signal as a final output signal; according to the invention, the frequency source has the characteristics of low phase noise, rapid agility, fine resolution and miniaturization at the same time.

The invention provides a vegetation index spatio-temporal fusion method considering farmland spatio-temporal heterogeneity, which comprises the following steps: simultaneously acquiring high-resolution (fine-resolution) and low-resolution (coarse-resolution) satellite remote sensing data of a target area, preprocessing the satellite remote sensing data, carrying out field parcel segmentation on the high-resolution remote sensing data, and carrying out field parcel segmentation on the low-resolution remote sensing data; optimizing a selection strategy of similar pixels by taking the field parcel as a unit; vegetation index time series data of the high-quality coarse-resolution image are constructed through data reconstruction; fitting a crop vegetation index growth curve of the fine-resolution image by adopting a Double Logistic function, and generating a fine-resolution pixel initial value at a prediction moment; constructing an optimization model and optimizing a fine pixel vegetation index value in combination with coarse and fine resolution pixel data; weighted distribution is carried out based on the spatial consistency in the field, and a prediction image is optimized in combination with spatial filtering. According to the method, the problems of unreasonable assumption of a traditional space-time fusion model on crop spectrum linear growth in a high-heterogeneity farmland scene and inaccurate similar pixel matching are effectively solved, the fusion precision and robustness are improved, and the method has a wide application prospect.

The invention relates to the technical field of intelligent nursing, in particular to an electrical impedance tomography-based pressure sore risk perception and prevention control system, which comprises an EIT signal acquisition module, an impedance trend grading module, a risk area judgment module, a bed body intervention control module and an intervention feedback regulation module. According to the invention, through an electrical impedance imaging principle, fine distinguishing of body surface and superficial tissue physiological states of a patient is realized, multi-region impedance signals are continuously collected and dynamically integrated, local tissue perfusion changes and abnormal stress trends are accurately mapped, high-risk regions are automatically identified and classified, bed body action intervention is triggered in real time, and an intervention effect is dynamically tracked; according to the method, intervention parameters are cooperatively adjusted, the response logic and the intervention rhythm of each region are gradually improved, intelligent risk judgment and closed-loop adaptive intervention are completed, individuation, initialization and process data traceability in a nursing scene are promoted, and adaptive response aiming at complex illness conditions and variable nursing requirements is supported.

The invention belongs to the field of meteorological data processing, and provides a surface temperature space-time fusion method and system based on a conditional generative adversarial network, and the method only needs to predict a coarse-resolution image of a date and another fine-resolution reference image at any time in the same region for model input, and does not limit the reference acquisition time. Therefore, the influence of time inconsistency on a prediction result can be greatly reduced, and meanwhile, a multi-scale mechanism is integrated to adapt to the input of reference image pairs with different resolutions. From the perspective of quantitative indexes and visual evaluation, the CGAN-LSTFM has robustness for reference images at different moments and resolution ratios of different scales, and meanwhile, due to less input and limitation, the model also has more flexibility.

The invention provides a modeling optimization method and device of a geological model, equipment, a storage medium and a product, and relates to the technical field of geological sciences, and the method comprises the steps: constructing an initial geological voxel model based on the geological information of a to-be-researched region; performing level set function modeling on each geological interface to obtain a plurality of initial voxel level set functions; based on each initial voxel level set function, performing gravity anomaly forward modeling to obtain theoretical gravity anomaly information; based on a genetic algorithm, optimizing each initial voxel level set function to obtain a coarse resolution geologic voxel model; and based on the actual gravity anomaly information and the theoretical gravity anomaly information, performing fine resolution optimization on the coarse resolution geologic voxel model to obtain a target geologic model. Through the above mode, the resolution of the model can be effectively improved, the accuracy and reliability of the target geologic model are ensured, and the target geologic model can accurately reflect the real geologic structure of the to-be-studied area.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for simulating a state of a physical environment. In one aspect, a method performed by one or more computers for simulating the state of the physical environment is provided. The method includes, for each of multiple time steps: obtaining data defining a fine-resolution mesh and a coarse-resolution mesh that each characterize the state of the physical environment at the current time step, where the fine-resolution mesh has a higher resolution than the coarse-resolution mesh; processing data defining the fine-resolution mesh and the coarse-resolution mesh using a graph neural network that includes: (i) one or more fine-resolution update blocks, (ii) one or more coarse-resolution update blocks, and (iii) one or more up-sampling update blocks; and determining the state of the physical environment at a next time step using updated node embeddings for nodes in the fine-resolution mesh.

The invention relates to a complex terrain air temperature refined downscaling method based on a TopoMW model, and belongs to the technical field of meteorological element downscaling, and the method comprises the steps: obtaining multi-source data of a target region, carrying out the preprocessing of the multi-source data, and fusing the multi-source data into a feature set; constructing a complex terrain multi-weighting matrix based on the preprocessed multi-source data; a TopoMW model improved based on UNet is established, a weighted MSE loss function is adopted to train the TopoMW model on the basis of a feature set in combination with a complex terrain multiple weighting matrix, an optimal downscaling model is obtained, and the contradiction between model statistic multiplexing and performance retention is solved; inputting a feature set to be predicted into the optimal downscaling model to obtain an initial prediction result; the initial prediction result is corrected based on the complex terrain multiple weighting matrix to obtain a final result, extreme deviation is eliminated, and accurate generation of the 30-meter high-resolution air temperature under the complex terrain is achieved.

The invention discloses a two-stage self-adaptive complex terrain global path planning method, which comprises the following steps of: calculating movement cost by taking a grid unit corresponding to the finest resolution as a unit and fusing gradient, ground cover, roughness and topographic relief; determining the passing cost of the region; a path planned in the first stage is used as a reference path of the second stage, the problems of efficiency and precision of the second path planning stage are comprehensively considered, an adaptive resolution mechanism is adopted, and adaptive path end point judgment is adopted for each middle section of path in the second stage, so that the flexibility and expandability of the path are enhanced, and the path planning efficiency is improved. And accurate and rapid path planning of a complex terrain path is realized.

The present invention discloses a dynamic monitoring method for the spatial distribution of urban biodiversity, which relates to the technical field of biodiversity distribution surveys. The method includes using multi-source data to extract the boundary of the urban built-up area; and generating a spatial distribution map of urban biodiversity by using public big data and extrapolation method. By adopting the open big data of biological distribution records on the network platform and combining with the extrapolation method to generate a biodiversity map of urban areas with fine resolution, the present invention develops a general analysis framework, which can reduce the labor and time costs in the acquisition stage of basic data on urban biodiversity. On the other hand, by comparing remote sensing image data, it is possible to obtain data on animals and plants under the canopy cover, which is convenient for evaluating the species diversity under the canopy, and can capture complex information on species composition, which is beneficial to improving the adaptability to the complex artificial environment and highly fragmented habitat patches in urban areas.

The present invention discloses a food 3D printing ink and its preparation method and application. The preparation method includes: subjecting a pea protein dispersion to high-pressure homogenization and ultrasonic treatment in sequence to obtain a modified pea protein; fully mixing and reacting sodium alginate, the modified pea protein and water to obtain a modified pea protein / sodium alginate complex; and mixing medium-chain triglycerides with a solution containing the modified pea protein / sodium alginate complex and subjecting the mixture to shear treatment to obtain a food 3D printing ink. Compared with the 3D printing ink prepared from natural pea protein, the food 3D printing ink prepared by the present invention has a smaller particle size, a more uniform and compact microstructure, a stronger storage modulus and apparent viscosity. At the same time, the 3D printing model prepared has a smooth and regular shape, a stable three-dimensional structure and fine resolution, and can maintain the stability of the structure within 24 hours.

The invention provides a low dropout regulator with fine loop presetting. The low dropout regulator includes a coarse resolution regulator and a fine resolution regulator. The coarse resolution regulator adjusts the digital control value in response to the output transient to control the coarse output driver to adjust the output voltage at the coarse resolution. The coarse resolution regulator finally enters a limited cyclic oscillation mode at a corresponding duty ratio. The fine resolution regulator is deactivated when the digital control value initially changes, and the duty cycle based on the digital control value is preset when in the limited cycle oscillation mode. And after being preset, are reactivated to drive at least one fine output driver to adjust the output voltage at a fine resolution. When turned on after the output load transient, the presetting provides a closer estimate of the supplemental current required to meet the output load level to achieve a smaller output ripple voltage.

Described herein are methods, systems and computer-program products for intra- and inter-gait classification for both symmetric and asymmetric gait patterns using images.

The embodiment of the invention provides a Transformer track prediction method based on improved track coding, and the method comprises the steps: obtaining track data: collecting and processing the dynamic information and navigation information of a ship and the static information of the ship, and obtaining the longitude, latitude, course and speed information of the ship; track information coding is improved, and obtained continuous observation data including longitude, latitude, course and navigational speed information is converted into a structured discrete form; track information embedding is carried out, embedding coding is carried out on each dimension of coded data, and the codes are mapped to a new multi-dimensional space from an original space to which the codes belong; the method comprises the following steps: performing track prediction, adopting a TrAS I former prediction model and cross entropy loss to replace mean square error, processing multi-modal characteristics of data, converting a track prediction task into a multi-classification problem, optimizing a loss function by combining data representation of fine resolution and coarse resolution, and generating a future position through recursion until the prediction of the whole track is completed.

The invention particularly relates to a hierarchical search three-dimensional airspace path planning method and system based on an adaptive resolution grid. The method comprises the following steps: constructing a corresponding multi-resolution grid model based on a three-dimensional grid map; global path planning is carried out on the coarse resolution grids, coarse paths of all coarse grid nodes are determined, and a coarse path sequence is constructed; performing non-overlapping segmentation on the coarse path sequence; planning local windows matched with the fine-resolution grids, and determining window entrance and exit points corresponding to the local windows; performing obstacle recognition on each local window based on the fine resolution grid, calling a corresponding path generation strategy according to an obstacle recognition result of the local window, and determining a local refined sub-path corresponding to each local window; and splicing the path information of each local window in sequence to obtain a path planning result. According to the method, efficient and reliable path planning of a large-scale and complex three-dimensional airspace environment can be realized.

The application relates to a vector polygon rasterization method of a spherical hexagonal grid system and belongs to the technical field of geographic information. The vector polygon area to be rasterized is rasterized from coarse resolution to fine resolution by using the hierarchical characteristics of the grid system and adopting a cross-layer subdivision mode. The subdivision mode can generate a subunit by spacing a plurality of grid levels of a parent unit, solves the position uncertainty problem of the subunit relative to the parent unit after multiple times of subdivision of an adjacent level subdivision scheme, greatly reduces the number of units needing spatial relation judgment with the vector polygon, avoids the rasterization realized by traversing and judging the spatial relation of units one by one, and greatly improves the efficiency of the vector polygon rasterization on the spherical hexagonal grid system.

A tritium-compatible pellet gas gun for a deuterium-tritium (D-T) pellet fueling apparatus is provided. In one aspect, the tritium-compatible pellet gas gun includes a pellet sizer assembly that provides in situ adjustment of pellet length during injector operation. The pellet sizer assembly includes a guillotine slide that is actuated by a pusher tube, the guillotine slide being operable to restrict the orifice of the extruder nozzle to reduce pellet length with fine resolution. The tritium-compatible pellet gas gun also includes dual flexible metal bellows seals that maintain hermetic separation between the D-T fuel region, a guard vacuum, and the ambient environment, while still permitting linear motion. This configuration allows the pellet length to be reduced by up to 50% without venting or warming the D-T pellet fueling apparatus.

Systems and methods for configuring a hearing aid device may include automatically: selecting a sound file from a sound database, processing the sound file with a first set of parameter settings to generate two distinct coarse stimuli, playing the two distinct coarse stimuli to a user, recording a preferred coarse setting by the user, processing the sound file with a second set of parameter settings to generate two distinct shape stimuli, playing the two distinct shape stimuli to the user, recording a preferred shape setting by the user, processing the sound file with a third set of parameter settings to generate two distinct fine resolution stimuli, playing the two distinct fine resolution stimuli to the user, recording a preferred fine resolution setting by the user, and determining hearing aid parameter settings for the user based on the fine resolution setting.

The present invention relates to a piezoelectric motor that can be moved with very fine resolution at the nanometer level by means of a piezoelectric element (piezo actuator) that increases in length when a voltage is applied. The piezoelectric motor according to the invention is characterized by comprising a body having an upper surface and a lower surface, and a side connecting the upper surface and the lower surface, a piezoelectric material disposed on the upper surface of the body and extending longitudinally therefrom, and a rod having an upper surface and a lower surface, and extending longitudinally, and having one end connected to one end of the piezoelectric material and disposed on the upper surface of the body, and a support member disposed to span the rod and providing a predetermined frictional force on the rod, wherein the support member is driven by the rod to interlock with a contraction or an expansion of the piezoelectric material, wherein a lower surface of the support member and the upper surface of the body are at least partially in butted, and wherein the support member is driven by sliding on the upper surface of the body.

The present invention discloses a noise generation and use method for a visual feature fine resolution task, comprising the steps of: S1, obtaining parameters of a visual display device; S2, obtaining parameters of a visual feature image to be resolved; S3, generating a random point noise image and a grating noise image according to the parameters of the visual display device and the parameters of the visual feature image to be resolved; S4, obtaining a noise image according to the random point noise image and the grating noise image; S5, superimposing the noise image and the visual feature image to be resolved to obtain a noise superimposed image, and performing a visual feature fine resolution task. The present invention accurately constructs random noise and grating noise for masking the basic visual features "spatial frequency + orientation + contrast", and can be adjusted within a certain parameter range, can match biological individuals and artificial intelligence systems with different visual feature resolution capabilities, has a wide range of applications, is simple and convenient, has strong practicality, and has broad application prospects.

A phase coherent synthesizer with good phase noise and spurious performance is described. The phase coherent synthesizer includes digital direct synthesizer (DDS) circuitry, frequency multiplier circuitry, an oscillator, and a mixing stage. The digital direct synthesizer (DDS) circuitry has a first output and a second output. The first output is associated with a fine resolution synthesis. The second output is associated with a step synthesis. A second output signal provided via the second output has a higher frequency compared with a first output signal provided via the first output. The frequency multiplier circuitry is connected with the second output. The frequency multiplier circuitry is configured to multiply the second output signal received via the second output, thereby generating a multiplied output signal. The mixing stage has two input ports connected with the frequency multiplier circuitry and the oscillator respectively. The mixing stage includes, for example, circuitry configured to mix the multiplied output signal and an oscillator output signal of the oscillator, thereby generating an intermediate frequency signal. The first output signal and the intermediate frequency signal are synchronized with each other.

Provided are systems, methods, and apparatuses for progressive transmit delays for systematic time-dependent error elimination in LiDAR. In one or more examples, the systems, methods, and apparatuses include a device configured to delay transmission of a pulse of light based on a fine resolution of the device, detect a signal based on a reflected portion of the pulse of light, determine a coarse time and a fine time of the signal, and determine a readout based on the coarse time and the fine time.

Methods, systems and devices are described that enable measurement and characterization of complex laser pulses by relying on three interferograms that are measured simultaneously. The described three-phase spectral interferometry (3PSI) can meet the growing demand for optical recorders with long record and 1 ps or finer resolution. An example three-phase interferometric system includes a three-output optical splitter with a first input port to receive the input optical signal, a second input port to receive a reference optical signal with one or more unknown spectral characteristics. The three output ports of the optical splitter produce interferograms that correspond to relative phase shifts of substantially 120 degrees. Detectors are positioned to receive and measure the interferograms, which allows determination of the amplitude and phase of the input optical signal with very high accuracy. The described techniques include may improvements in the alignment, calibration and signal retrieval procedures associated with the 3PSI system.

The invention relates to a remote sensing spatio-temporal data fusion method based on phenological constraint and meteorological driving, and belongs to the technical field of data processing. A high spatial resolution remote sensing image and a high time resolution remote sensing image are subjected to regression modeling, spatial filtering and residual error compensation, a fine resolution image and a coarse resolution image are subjected to preliminary time-space fusion, and a meteorological driving model between meteorological variable change and vegetation index short-term response is established; extracting a time sequence of a sample region from the high-time-resolution data, performing nonlinear curve fitting on the time sequence by using a Gaussian model, establishing a phenological growth model, performing parameter solution and optimization on the model to obtain a regional representative phenological model of the crop type, and carrying out phenological constraint and meteorological drive correction on the preliminary time-space fusion result to generate a final high-temporal-spatial-resolution image sequence. According to the method, a high-temporal-spatial-resolution remote sensing product which is lower in noise, more stable in phenological characteristic and more credible can be generated.

The invention discloses a digital phase detector and a digital phase-locked loop, and the digital phase detector comprises a bang-bang phase detector which is used for receiving a reference signal, and the reference signal generates a group of delay signals through a delay chain; the digital-to-time converter is used for receiving the first signal fed back from the multimode frequency eliminator and delaying the first signal to generate a feedback signal; the digital time converter is connected with the bang-bang phase detector and is used for compensating a quantization error in a decimal mode when the loop is locked; the multiplexer is used for selecting a first delay signal lagging behind the feedback signal; the digital-to-time converter is configured to generate an adjustable delay according to the first delayed signal to align the feedback signal with the first delayed signal. According to the embodiment of the invention, the wide detection range and fine resolution of the digital phase detector are improved under the condition that the linearity and power consumption are not sacrificed; the circuit can be widely applied to the technical field of integrated circuits.

The present invention relates to a method and system for fabricating customized orthodontic brackets using 3D printing technologies with ultra-fine resolution to produce the orthodontic bracket with multiple layer thicknesses, and each layer thickness ranges from 0.05 micrometers to 100 micrometers. The process involves accessing data related to a 3D CAD bracket structure model for the customized orthodontic bracket. The 3D printing technologies with adaptive slicing dynamically adjust layer thickness based on geometric complexity and surface roughness, ensuring the variable layer ranges from 0.05 micrometers to 100 micrometers. By applying variable layer thickness, the method optimizes surface roughness.

Method for evaluating the growth dynamics of a human hair or hair Method for evaluating ex vivo the growth dynamics of at least one human hair or hair, having a hair follicle (1), the method comprising the steps of: imaging the hair follicle (1), placed in a culture medium (5), with an imager (2, 12, 28) for a sufficiently long observation period, with a sufficiently fast acquisition frequency, and a sufficiently fine resolution where appropriate, to obtain at least one animated sequence (9) of the growth of the hair or hair in this culture medium (5), making it possible in particular to observe movements of cells constituting the hair follicle, generating from this sequence (9) at least one piece of information relating to the growth dynamics of the hair or hair. Figure: 1

A low dropout regulator with fine loop preset including a coarse resolution regulator and a fine resolution regulator. The coarse resolution regulator adjusts a digital control value in response to an output transient to control a coarse output driver to regulate an output voltage with coarse resolution. The coarse resolution regulator eventually enters a limit-cycle oscillation mode with a corresponding duty cycle. The fine resolution regulator is disabled when the digital control value initially changes, is preset based on the duty cycle of the digital control value when in the limit-cycle oscillation mode, and is re-enabled after being preset to drive at least one fine output driver to regulate the output voltage with fine resolution. The preset provides a closer estimate of the supplemental current needed to meet the output load level when turned on after an output load transient to achieve less output ripple voltage.

Systems and methods for configuring a hearing aid device may include automatically: selecting a sound file from a sound database, processing the sound file with a first set of parameter settings to generate two distinct coarse stimuli, playing the two distinct coarse stimuli to a user, recording a preferred coarse setting by the user, processing the sound file with a second set of parameter settings to generate two distinct shape stimuli, playing the two distinct shape stimuli to the user, recording a preferred shape setting by the user, processing the sound file with a third set of parameter settings to generate two distinct fine resolution stimuli, playing the two distinct fine resolution stimuli to the user, recording a preferred fine resolution setting by the user, and determining hearing aid parameter settings for the user based on the fine resolution setting.

Several embodiments include methods for performing hardware-assisted motion estimation while encoding blocks of a media image. A video encoder generates motion vector clues for multiple stages of motion estimation at progressively finer resolutions, culminating in the final motion estimation stage at the full resolution of the media image. The video encoder divides the media image into a grid of raster blocks, where the raster blocks are smaller than the standard encoding block size of the media image. At each stage, the video encoder generates a motion vector clue for each raster block at the selected resolution for that stage. For each motion vector clue, the video encoder generates forward-prediction clue data based on a reference media image that precedes the current media image.In addition, for each motion vector cue, the video encoder generates backward prediction cue data based on a reference media image that follows the current media image.

The invention discloses an anti-time-varying sensitive remote sensing image space-time fusion method and system, and belongs to the technical field of remote sensing image processing, and the method comprises the steps: obtaining a priori moment fine resolution image, a priori moment coarse resolution image and a prediction moment coarse resolution image; extracting multi-scale prior detail semantic features from the prior moment fine resolution image through a resolution reduction encoder; multi-scale semantic features are extracted from the coarse resolution images at the prior moment and the prediction moment through a super-resolution encoder, and time-varying semantic features are obtained through subtraction operation; inputting the two types of features into a double-orientation three-attention fusion decoder, and sequentially generating a preliminary local-global cross fusion feature and a decision fusion feature; the reconstruction unit reconstructs the decision fusion feature into a prediction moment fine resolution image; and performing an adversarial learning optimization generation process on the predicted image and the real image. According to the method, the prediction robustness of time-space fusion on time-varying information is improved.