613results about How to "High resolution" patented technology

The invention relates to the technical field of electron energy measurement, and discloses an electron spectrometer and an electron energy spectrum measurement method and system.The electron spectrometer comprises a magnetic deflection unit used for receiving an incident to-be-measured electron beam, generating a magnetic field and applying the magnetic field to all to-be-measured electrons in the to-be-measured electron beam; the scintillator fluorescent screen is arranged at the downstream of the magnetic deflection unit and used for receiving the deflected electrons to be detected, and the electrons bombard the scintillator fluorescent screen and generate light spots; the optical acquisition unit is used for acquiring a light spot image on the scintillator fluorescent screen; and the signal processing unit is used for processing the light spot image so as to identify the spatial position information of the light spot in the light spot image and convert the spatial position information into electronic energy data. The method has the beneficial effects that the unification of high resolution and high measurement efficiency is realized, and the problem of signal accumulation under a high counting rate of a traditional direct measurement method and the inherent defect of low efficiency of a scanning type magnetic spectrometer are overcome.

The invention discloses a calibration method of a polarization focal plane imaging system and an imaging system, relates to the field of photoelectric imaging and remote sensing detection imaging, and solves the problems of low correction efficiency and difficulty in correcting a system with a changed polarization state in the conventional polarization error correction technology. According to the calibration method, a plurality of coding patterns and corresponding polarization modulation matrixes are obtained based on the collected uniform light field and serve as calibration results. The polarization error correction method comprises the steps of obtaining an observation intensity vector based on a target scene; a corresponding polarization modulation matrix is obtained based on the coding pattern according to a coding polarization modulation matrix lookup table, and then a down-sampling Stokes vector after polarization error correction is obtained; and completing the correction of the polarization error through an imaging reconstruction method. A polarization focal plane imaging system comprises an imaging lens, a DMD digital micromirror array coding module, a focal plane DoFP polarization detector and an imaging reconstruction module. The method is suitable for the fields of remote sensing detection, target identification, environment monitoring and the like.

The invention relates to a structured light illumination confocal super-resolution measurement system and method, and relates to the technical field of optical measurement. The system comprises a digital micromirror device (DMD), a sample platform, an electric displacement platform, a microscopic imaging assembly, a complementary metal oxide semiconductor (CMOS) imaging assembly and computer equipment, and the DMD is used for adjusting the point light source array and the structured light field. According to the DMD-based confocal super-resolution measurement method, a structured light field and a signal-noise separation technology are combined, and high-precision and high-resolution three-dimensional surface reconstruction can be realized. By using the flexibility of the DMD and the advantages of the super-resolution technology, the spatial resolution and speed of confocal imaging are effectively improved, so that the measurement process is more accurate. In addition, low-rank decomposition and self-supervised deep learning methods are fused, the image reconstruction process is optimized, noise interference is suppressed, and the overall performance of the system is further improved.

The application discloses a method for suppressing ghost waves of a streamer based on frequency-slowness domain continuation and ghost wave parameter optimization. Considering that ghost wave parameters vary with time and space and affect the ghost wave removal effect, first, the marine seismic data is divided by using a sliding time window to reduce the influence of the time variation of the ghost wave parameters; the delay time and amplitude difference coefficient of the ghost wave and the primary wave are enumerated alternately; the data in the time window is continued by using a frequency-slowness domain wave field continuation operator, and then the original marine seismic data is added and subtracted by the continued record; the sum of the absolute values of the products of the new records obtained by operation is taken as the target, the optimal ghost wave delay time and amplitude difference coefficient are iteratively searched, and then the ghost wave is suppressed; after the data in each window is suppressed, all the window data are integrated into a complete record. The method can effectively suppress the ghost wave, widen the frequency band and improve the resolution of the seismic data.

The application provides a driving circuit board, a display module and a display device, relates to the technical field of display, and can increase the number of output channels of a driving chip, reduce the size of a binding area connected with the driving chip, and make the high-resolution requirement of a display substrate adapt to the narrow-frame requirement. The driving circuit board comprises a driving chip, a circuit board body, a plurality of driving pins and a signal circuit, the driving pins comprise first driving pins and second driving pins, the first driving pins are used for electrically connecting a display substrate, the second driving pins are electrically connected with the signal circuit, the driving chip is electrically connected with the circuit board body through the driving pins, the first driving pins are arranged in at least three rows along a first direction, the first driving pins are arranged in at least three rows along a second direction, the first direction intersects with the second direction, the circuit board body comprises at least two conductive layers, and the number of conductive layers electrically connected with the at least two rows of first driving pins arranged along the second direction is different.

This invention relates to the field of seismic signal resolution enhancement technology, specifically to a seismic signal resolution enhancement method based on adaptive semi-cepstrum transform. The method first obtains the initial amplitude spectrum and phase spectrum of the signal through short-time Fourier transform; then, it introduces bias parameters to perform nonlinear mapping and non-negativity normalization on the initial amplitude spectrum to obtain a normalized amplitude spectrum; based on the normalized amplitude spectrum, it constructs a frequency characterization function and calculates the entropy value to quantify the spectral distribution characteristics; by scanning parameters within a preset range, it establishes the response relationship between the entropy value and the bias parameter, and uses the maximum distance criterion to determine the optimal bias parameter; finally, it substitutes the optimal bias parameter into the nonlinear mapping and normalization process to obtain the corresponding amplitude spectrum, and combines it with the phase spectrum to reconstruct a high-resolution seismic signal. This invention achieves automatic parameter optimization, effectively suppressing high-frequency artifacts while broadening the signal bandwidth, significantly improving the resolution of seismic data.

This invention provides an intelligent front-end data acquisition system for boilers, comprising: a detection module, a data acquisition module, and a monitoring module; the detection module is used to acquire unit temperature data; the data acquisition module is a YS-24D data acquisition box, which is used to acquire data from the detection module. This invention provides an intelligent front-end data acquisition system and device for boilers, wherein the data acquisition module uses the YS-24D data acquisition box to acquire data from the detection module at unit temperature measurement points. The YS-24D data acquisition box is high-performance and highly reliable, with a hardware design employing a 32-bit low-power ARM processor, high integration, few peripheral components, high reliability, fast processing speed, high resolution, and reliable and accurate data. It uses a high-performance, high-precision 24-bit A / D converter, with all 24 channels being independent fully differential input loops, providing high resolution, low drift, and high stability.

This utility model relates to a cutting blade, belonging to the technical field of ultrasonic probe manufacturing equipment. The cutting blade is disc-shaped and used for rotary cutting of an ultrasonic probe to form piezoelectric array elements. The cutting blade includes a blade body and multiple gradient layers disposed on the outer side of the blade body. The multiple gradient layers are connected sequentially along the radial direction of the blade body, and the thickness of each gradient layer gradually decreases radially outward. Adjacent gradient layers are connected in a stepped manner, and the outer edge of each gradient layer away from the rotation center axis of the cutting blade forms a cutting edge, so that the cutting blade has multiple annular cutting edges arranged at radial intervals. The array elements of the probe cut by this cutting blade are pyramid-shaped, with narrow ends and wide bottoms, which ensures that the formed ultrasonic probe piezoelectric array elements are uniform in size, neatly arranged, and have better stability; effectively improving the resolution and stability of probe imaging.

The present application provides an under-screen camera system and an operating method thereof. The operating method of the under-screen camera system includes: providing raw data by a pixel array; generating color information according to a plurality of color filters and the raw data; generating first narrow-band information according to a plurality of first narrow-band filters and the raw data, wherein a spectral line width of the first narrow-band filters is between 5 nm and 70 nm; reconstructing edge information according to one of a plurality of diffraction patterns and the first narrow-band information, wherein the diffraction patterns are provided by a database unit of a point spread function; and combining the edge information and the color information to obtain an image. Since the combination of the first model unit, the first narrow-band filters, and the database unit of the point spread function can solve the diffraction problem, thereby obtaining an image with higher resolution, the efficiency of the under-screen camera system is improved.

The application relates to a water quality change trend rapid prediction method based on multi-source data fusion and physical constraints, and specifically comprises the following steps: step 1: synchronously collecting data such as spectrum information, DO, COD, temperature and pH at key monitoring sites, constructing a water dynamics-water quality coupling equation, and simulating the space-time dynamic distribution of water quality parameters; step 2: outputting a water quality sensitive area through a water dynamics-water quality model, screening sensor layout points by combining information entropy evaluation and spatial clustering, realizing low-cost water quality sensor network deployment through a multi-objective optimization algorithm, and calculating a water body global water quality distribution map by adopting a spatial interpolation method; step 3: analyzing main pollution sources according to the synchronous collection of spectrum information at key monitoring sites, and adopting principal component analysis and an attention mechanism neural network; step 4: based on real-time optical characteristic value-DO data, combining a spatial topological network, a water quality gradient and a cross-region covariance to capture the spatial correlation of water quality parameters between different points, and constructing an optical characteristic value-DO-COD dynamic prediction model; combining pollution tracing and spectrum characteristic correction to correct the COD prediction value, adopting ensemble Kalman filtering to assimilate multi-source data, and improving the model accuracy.

The application discloses an optical engine module and a laser projection device, and belongs to the laser projection field.The optical engine module comprises a light source assembly, a prism assembly, a light valve assembly and a lens assembly, wherein the light valve assembly at least comprises a first light valve and a second light valve, the prism assembly is used for guiding the incident light corresponding to each light valve to the corresponding light valve respectively, and guiding the light beams output by each light valve to the lens assembly, the image light beams output by the first light valve and the image light beams output by the second light valve are dislocated at the irradiation position of the lens assembly, so that the resolution of the image picture projected by the lens assembly can be improved without setting a vibrating mirror, the structural components of the optical engine module are less and the volume of the optical engine module is small, the problem that the components of the optical engine module are more and the volume of the optical engine module is large in the related art can be solved, and the effects of simplifying the structure of the optical engine module and reducing the volume of the optical engine module are achieved.

The application discloses a three-dimensional model visual line direction detection method and a terminal. The method comprises the following steps: acquiring basic information, then solving a corneal curvature radius based on the basic information; updating eye diagram information, and taking the corneal curvature radius as a constant to solve a corneal curvature center; taking the corneal curvature radius and the corneal curvature center as constants, solving a distance from the corneal curvature center to a pupil center based on the basic information and a pupil edge point coordinate; finally, calculating a Kappa angle of an eyeball; determining a primary and secondary eye, performing visual line fusion through the primary and secondary eye, and obtaining a final visual line direction. The binocular three-dimensional eyeball model is divided into two monocular eyeball models, and the solving parameters between each model only need to solve the human eye parameters related to the visual line, without mutual constraint of the parameters between the binoculars.

The invention discloses an obstacle sensing method, a cleaning robot, a storage medium and a program product, and the obstacle sensing method comprises the steps: obtaining sensing data of a sensing sensor of the cleaning robot; in response to the situation that the cleaning robot is detected to be in a diving state according to the sensing data, a distance measuring sensor of the cleaning robot is controlled to emit first emitting light of a first wavelength, and the diving state is used for representing that the cleaning robot is immersed in water; the distance measuring sensor is controlled to receive first reflected light, the first reflected light is formed by reflecting the first emitted light through a first obstacle, and the first obstacle is immersed in water; and determining a first distance between the first obstacle and the cleaning robot according to the first emitted light and the first reflected light. According to the method, when it is detected that the cleaning robot dives into the water, the first distance of the underwater first obstacle is sensed based on the light of the first wavelength emitted by the distance measuring sensor, and the underwater driving risk of the cleaning robot can be reduced.

The utility model discloses a femtosecond pulse laser filament control system, which comprises a laser transmitter, a power meter, a target chamber, a beam collector, a vacuum pump, an optical fiber probe and an optical fiber spectrometer, a reflecting mirror I and a diaphragm are arranged between the laser transmitter and the power meter; a convex lens I is arranged between the reflecting mirror II and the target chamber; one side of the target chamber is provided with a light hole, the light hole is opposite to the optical fiber probe, a convex lens II is arranged between the light hole and the optical fiber probe, the optical fiber probe is connected with an optical fiber spectrometer through an optical fiber, and the optical fiber spectrometer is used for being connected with an upper computer; wherein the vacuum pump is communicated with the interior of the target chamber. According to the utility model, the size of the laser beam can be adjusted, the length of the laser filament can be controllably adjusted, and the influence of different environments on the spectral signal-to-noise ratio can be obtained, so that a stable and reliable basis is provided for a subsequent controllable LIBS (Laser-induced Breakdown Spectroscopy) experiment.

The application discloses a geomorphology quantitative recovery method and system, and the recovery method comprises the following steps: reconstructing a source area topography; calculating a source area supply flux and a supply duration; describing a deposition area river channel topography, and performing source-sink area topography reconstruction recovery. The geomorphology quantitative recovery method improves the deposition geomorphology recovery precision, reduces the deposition geomorphology recovery error, improves the geomorphology resolution and accuracy, and provides more accurate basic data for reservoir fine prediction.

This invention discloses an image processing method, apparatus, storage medium, and electronic device. The image processing method includes: acquiring an image to be processed containing shadow regions; inputting the image to be processed into a trained neural network to obtain a shadow-removed image; wherein the neural network comprises a first-level network and a second-level network cascaded together, the first-level network receiving the image to be processed and outputting a shadow region mask image, and the second-level network simultaneously receiving the image to be processed and the shadow region mask image and outputting the shadow-removed image. This invention solves the technical problems of existing technologies that easily produce side effects on the image background layer while eliminating shadow regions and have high hardware platform requirements.

The invention relates to the technical field of thermal interface material defect detection, in particular to a nondestructive detection method and system for thermal interface material application defects, and the system comprises an electric displacement table, heating laser, detection laser, a photoelectric detector, an acoustic optical modulator, a lock-in amplifier, an optical element and a data processing unit; the electric displacement table is used for fixing a sample and accurately controlling the position of the sample; the sample is of a silicon-thermal interface material-substrate sandwich structure; the upper-layer silicon wafer of the sample is plated with a metal film as a transduction layer; the heating laser is used for heating the sample; the acoustic optical modulator is used for modulating the heating laser, so that the heating laser heats the sample in a sine wave form; the detection laser is used for detecting sample temperature fluctuation; the photoelectric detector is used for collecting and detecting laser reflection signals; the lock-in amplifier is used for extracting and detecting laser phase and amplitude signals. According to the invention, non-destructive rapid detection of the defects of the thermal interface material in an application scene can be realized.

The application discloses a photosensitive polyimide resin, a polyimide composition and a preparation method thereof. The photosensitive polyimide resin has a molecular structure as shown in formula (1). The aminoized hyperbranched polysiloxane unit with hydrophobic characteristics is introduced into the polyimide molecular main chain to form a micro-crosslinking structure between the molecular chains, and the crosslinking reaction of the photosensitive unit effectively improves the resolution of the photoresist and reduces the thermal expansion coefficient of the patterned film. The rich Si-O-Si units in the hyperbranched polysiloxane and the low polarity and hydrophobic characteristics of the CF3 unit can reduce the dielectric constant of the patterned film. The Si-O-Si network unit has better interface compatibility with glass and a silicon wafer, thereby forming stronger interface force and improving the adhesion between the photoresist and the substrate.

The application discloses a laser communication link correction method, system, device, medium and product based on wavelet interpolation, relates to the field of optical communication, and comprises the following steps: performing stationary wavelet transform and discrete wavelet transform on a light spot image respectively to obtain stationary subband coefficients and discrete subband coefficients; correcting the discrete high-frequency subband coefficients after interpolation processing by using the stationary high-frequency subband coefficients to obtain corrected discrete high-frequency subband coefficients; replacing the discrete low-frequency subband coefficients with the coefficients of the expanded light spot image to obtain replaced discrete low-frequency subband coefficients; through inverse discrete wavelet transform, the centroid method is used again to calculate the centroid coordinates of the light spot image after wavelet interpolation processing and the deflection angle of the beacon light, the deflection angle of the receiving end is adjusted according to the deflection angle of the beacon light, and the correction of the laser communication link is completed; and the stability of the laser communication link can be improved by improving the subdivision accuracy of the light spot.

This invention discloses an optimization method for a dual-source FSI ranging system based on wavelet synchronous compression transform, mainly addressing the problems of high system complexity and poor performance in existing dual-source FSI ranging systems when separating mixed interference signals. The solution includes: constructing a dual-source FSI ranging optical path to generate mixed interference signals; building a signal processing module based on the wavelet synchronous compression transform algorithm; sending the mixed interference signals to the signal processing module through a data acquisition device in the ranging optical path; using wavelet synchronous compression transform to separate the interference signals generated by the two lasers in the frequency domain; then achieving separation of the individual interference signals by reconstructing the frequency bands of the two interference signals; and finally using the separated two interference signals to calculate the distance and obtain the final ranging result. This invention can guarantee ranging accuracy without increasing the complexity and design cost of the dual-source FSI ranging system.

This invention discloses a near-eye display device, comprising: a display screen including a central display area and multiple peripheral display areas; a light guide element located on the light-emitting side of the display screen; the light guide element including a light guide element body and multiple light guide structures, the multiple light guide structures being located within the light guide element body, and the multiple light guide structures being arranged one-to-one with the multiple peripheral display areas; the light guide structures are used to guide the light emitted from the corresponding peripheral display areas to the light-emitting area of ​​the central display area for emission, thereby allowing the display images of the peripheral display areas to be superimposed on the area where the display images of the central display area are located, thereby increasing the number of display pixels in the light-emitting area of ​​the central display area and improving the resolution of the display image.

The application relates to a low-complexity adaptive beamforming method based on phase apodization cross-correlation, and belongs to the technical field of ultrasonic imaging. The method comprises the following steps: focusing and Hilbert transforming a sampling echo signal to obtain a complex echo signal; constructing multiple groups of amplitude apodization functions with different side lobe levels and peak response, weighting the echo signal, calculating and comparing the estimated variances of the apodized signals; constructing multiple groups of complementary phase apodization function pairs, phase apodizing the apodized signal with the minimum estimated variance, and calculating the real part similarity coefficient matrix of the phase-apodized signal pair; summing and averaging the multiple groups of thresholded similarity coefficient matrices and performing two-dimensional mean filtering; and multiplying the sum result of the apodized signal with the minimum variance estimation and the filtered similarity coefficient matrix to obtain the output of a beamformer and form an image. The application has the advantages of low calculation complexity, high robustness, etc., and can significantly improve the resolution and contrast of an ultrasonic image.

A kind of high-precision four-column sensor, it is related to weighing sensor technical field, a kind of high-precision four-column sensor, from top to bottom include pressure head, steel ball, upper weighing seat, elastomer, lower weighing seat and bottom plate in order, steel ball is located between pressure head and upper weighing seat, and the contact surface of pressure head and upper weighing seat with steel ball is concave cambered surface, elastomer is located between upper weighing seat and lower weighing seat, elastomer is integrally machined with upper weighing seat and lower weighing seat, elastomer quantity is four and is evenly distributed in 2*2 matrix, strain gauge is pasted on elastomer, recess is provided on the top surface of lower weighing seat, recess is located between four elastomers, digital module is provided in recess, and signal line is provided on the side of lower weighing seat.The sensor of the utility model is integrally machined with the whole structure, without any assembly gap, precision is guaranteed by processing, the whole structure has no stress weak point, and the rigidity significantly improves sensor service life.

The present application belongs to the field of logistics information technology and edge computing technology, and discloses a logistics terminal data real-time processing method based on edge computing, which comprises the following steps: initializing a bottom hardware interface, mapping heterogeneous original signals into a unified structured data frame; activating a streaming correlation analysis engine, calculating the joint deviation intensity of multi-modal physical quantities and triggering cross-modal fusion; based on task characteristic fingerprints and system load prediction trajectories, hard binding the task to a specified processor core; realizing business logic atomic switching through double-buffer bytecode hot updating; starting a Markov chain probability state machine to maintain autonomous decision-making and perform incremental differentiated storage when the network is disconnected. The present application improves the real-time performance, reliability and business flexibility of logistics terminal data processing, and is suitable for various logistics terminals that require edge computing for real-time data processing. The present application solves the problems of control response delay and business rule updating difficulty of existing logistics terminals under network fluctuation and high concurrent load working conditions.

This invention provides a negative photosensitive resin composition, a patterning method, and a laminated film. The negative photosensitive resin composition contains an epoxy-containing resin (A) and a cationic polymerization initiator (I), wherein the cationic polymerization initiator (I) comprises a sulfonate salt represented by the following general formula (I0). In formula (I0), R1 represents a thioxanthone group, and R2 represents an aryl group having 6 to 30 carbon atoms, wherein a portion of the hydrogen atoms of the aryl group is substituted or unsubstituted by a substituent (t), and the substituent (t) is an alkyl group having 1 to 18 carbon atoms. R3 to R5 are alkyl, hydroxyl, alkoxy, alkylcarbonyl, arylcarbonyl, acyloxy, arylthio, alkylthio, aryl, heterocyclic hydrocarbon, aryloxy, hydroxy(poly)alkoxy, or halogen atoms. k is 0, m is 0, and n is an integer from 1 to 4. When n is 2 or more, the plurality of R5s may be the same or different from each other. A is a group represented by -S-. X ‑ This refers to a monovalent polyatomic anion.

The invention discloses a disease subtype classification method, a disease subtype classification device, electronic equipment and a computer program product. The method comprises the following steps: acquiring at least two types of omics data of a plurality of patient samples with a target disease; respectively constructing a similarity matrix under each type of omics data, wherein the similarity matrix is used for describing the feature similarity of any two patient samples under the corresponding omics data; fusing the similarity matrixes under various omics data to obtain a fused similarity matrix; based on the fusion similarity matrix, multi-stage clustering analysis is carried out, a typing result for the target disease is obtained, and the multi-stage clustering analysis comprises at least two of the following clustering processing modes: spectral clustering processing, unsupervised clustering processing and consensus clustering processing. The scheme of the invention can help to improve the stability and resolution of typing.

This invention relates to positive resist materials and a method for forming patterns. The objective of this invention is to provide a positive resist material and a method for forming patterns that exhibit controlled acid diffusion, superior resolution compared to known positive resist materials, smaller edge roughness and dimensional deviations, and better pattern shape after exposure. The solution to this objective is a positive resist material comprising a base polymer capped with a sulfonate salt containing a carboxylic acid anion attached to a thioether group.

A broadband athermal optical system based on a global surface lens is characterized by the following components arranged sequentially from the outside to the inside along the light propagation direction: a protective window, a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens, a seventh lens, an eighth lens, a ninth lens, and a detector photosensitive surface (image plane). The protective window, first lens, second lens, third lens, fourth lens, fifth lens, sixth lens, seventh lens, eighth lens, and ninth lens are coaxially arranged with the detector photosensitive surface (image plane). The optical system receives visible light reflections and short-wave infrared radiation information inherent to the target and background, and converges them onto the detector photosensitive surface for photoelectric conversion. It exhibits high sensitivity and relatively low spatial resolution, enabling target detection, identification, and precise positioning under all-weather and complex meteorological conditions. This invention belongs to the field of optical imaging technology. The optical system exhibits excellent imaging quality, strong light-gathering ability, and good environmental adaptability within a wide spectral and temperature range of 0.4μm to 2.3μm and -50℃ to +70℃. It features simple structure, easy assembly and adjustment, high reliability, low cost, good manufacturability, and high yield. It can be widely used in aerospace optical remote sensing, ground-based target tracking and detection, optical imaging guidance, astronomical observation, industrial multispectral imaging analysis and non-destructive testing, and civil security surveillance, with broad application prospects and significant economic benefits.

The application discloses a kind of thermosensitive microcapsule dispersions and its preparation method and application, it is related to microcapsule technical field.The application provides a kind of thermosensitive microcapsule dispersion, the thermosensitive microcapsule dispersion D90≤0.75 μm, thermosensitive microcapsule dispersion D100≤1.35 μm;The thermosensitive microcapsule dispersion includes thermosensitive microcapsule, the thermosensitive microcapsule includes capsule wall and capsule core, the weight percentage of the capsule wall and capsule core is (45-66) :(34-55);The capsule wall is polyurethane-polyurea compound, and the capsule core is chromogenic dye precursor and solvent.The application innovatively generates polyurethane-polyurea compound capsule wall by twice polymerization reaction, by capsule wall material polyisocyanate and polyether polyhydric alcohol primary polymerization reaction, polyisocyanate and polyamine secondary polymerization reaction, by the effective regulation of product species and generation amount, effectively control the temperature sensitivity of thermosensitive microcapsule, color range.

Disclosed are a semiconductor photoresist composition and a method of forming a pattern using the same, the semiconductor photoresist composition comprising: an organometallic compound; a cyclic diketone compound; and a solvent.