93results about How to "Improve resolution" patented technology

The application belongs to the technical field of radar signal processing and imaging, and provides a differential coupling single-frequency time-varying low-quantization imaging method, which comprises receiving a SAR echo signal, constructing a single-frequency time-varying threshold signal, single-bit quantization processing of a reference channel, single-bit quantization processing of a phase shift channel, double-channel data fusion and harmonic cancellation, and imaging processing based on a synthesized signal. The application effectively reduces the quantization noise base and improves the detection capability of a SAR system on weak targets under the premise of not significantly increasing the hardware cost.

This invention discloses a clutter discrimination and suppression method based on multiple echo features, comprising: acquiring radar front-end clutter and target echo detection video data and dividing it into several connected regions; extracting multi-dimensional features and labeling prior information for each connected region; using the Relief feature selection algorithm to calculate and filter the weights of the multi-dimensional features, removing redundant features to obtain the optimal feature vector; using this feature vector to train a support vector machine classifier, and obtaining the optimal parameter model through cross-validation; acquiring measured clutter data, extracting corresponding features and inputting them into the model; and determining whether to remove clutter and retain targets based on the output. This invention effectively filters out dynamic clutter spots, avoids false deletion of weak targets, significantly reduces the false alarm rate of the system, and alleviates the computational burden of subsequent track processing.

The invention discloses a vacuum and solid integrated lightweight digital solar blind ultraviolet device, which comprises a glass input window, an ultraviolet photocathode, a microchannel plate, a digital readout circuit chip and a ceramic tube shell, the ultraviolet photocathode is attached to the front surface of the glass input window; the ultraviolet photocathode, the micro-channel plate and the digital readout circuit chip are arranged in a vacuum chamber of the ceramic tube shell; the micro-channel plate is positioned right below the ultraviolet photocathode; the digital readout circuit chip is located right below the micro-channel plate, and the device adopts a proximity packaging structure. The device is a high-resolution, integrated and lightweight vacuum digital solar blind device, does not need coupling, is integrated, realizes image digital output, is convenient to use and signal transmission, and is safe and reliable to use.

This application belongs to the field of underwater acoustic array signal processing technology. This application provides a tensor-enhanced azimuth estimation method suitable for high-order acoustic field sensor arrays. The embodiments of this disclosure first construct a received tensor from the received data of the high-order acoustic field sensor array; then, multilinear low-rank modeling is performed on the received tensor, and the optimal first subspace factor matrix in the array dimension and the optimal second subspace factor matrix in the channel dimension are extracted using the HOOI method; next, the received tensor and the angle domain dictionary are synchronously projected into a low-dimensional tensor quantum space; finally, the sparse power spectrum in the angle domain is estimated using a multi-shot sparse Bayesian learning model, thereby obtaining the target azimuth. This method can suppress noise components in each dimension while preserving multidimensional coupling relationships, reducing the data dimensionality of subsequent sparse processing, reducing the influence of dictionary correlation and noise, and obtaining a sharper azimuth spectrum and higher resolution under conditions of low signal-to-noise ratio, low snapshot, and adjacent targets.

The application discloses a quantitative evaluation method for fusion degree of new and old asphalt in hot recycled asphalt mixture, and belongs to the field of recycled asphalt, and comprises the following steps: crushing and sieving the hot recycled asphalt mixture to a preset particle size range to obtain a to-be-tested sample; performing solvent extraction treatment on the to-be-tested sample to obtain an asphalt solution; and performing selective separation treatment on the asphalt solution under controlled conditions, wherein the controlled conditions comprise synergistic control of solvent type, extraction time and extraction temperature, so that unfused asphalt components at the interface between new and old asphalt and having low bonding strength are preferentially selectively dissolved out. Through the selective separation treatment under the controlled conditions, the unfused asphalt components at the interface between new and old asphalt and having low bonding strength are preferentially dissolved out, and the fused asphalt components with structural intergrowth are retained, so that the different fused asphalt components can be effectively distinguished without damaging the original structure.

This invention provides a projection lens. The projection lens includes a lens group comprising at least eight lenses, which, from a first side to a second side, are sequentially: a first lens with negative optical power, a second lens with negative optical power, a third lens with positive optical power, a fourth lens with negative optical power, a fifth lens with positive optical power, a sixth lens with optical power, a seventh lens with optical power, and an eighth lens with optical power. At least one group of lenses from the fourth to the eighth lens is cemented together to form a cemented doublet lens or a cemented triplet lens. The ratio between the combined focal length of the cemented doublet lens and the focal length of the second lens group is greater than or equal to 1 and less than or equal to 8; or, the ratio between the focal length of the cemented triplet lens and the focal length of the second lens group is greater than or equal to 0 and less than or equal to 14. This invention solves the problem in existing projection lenses where it is difficult to simultaneously achieve both high-quality projection and miniaturization.

The application discloses a tunnel boring machine space dynamic compensation seismic wave advanced detection method and system, comprising: receiving the reflection echo data of the current space position; compensating the reflection echo data according to the attenuation compensation factor of the current space position, wherein the attenuation compensation factor of the current space position is obtained by a trained neural network, and the prediction process comprises: after curve fitting of the attenuation compensation factor of the reflection echo data of the detected space position, the attenuation compensation factor of the next space position is predicted by using the trained neural network; the compensated reflection echo data is subjected to geological body imaging by using the equal travel time imaging method, and the geological body detection result is obtained according to the amplitude difference on the imaging profile. The space dynamic compensation algorithm of the mechanical wave attenuation is used to adaptively correct the attenuation compensation factor at the next tunneling surface, so as to compensate the received reflection echo data and enhance the identification ability of the reflection echo.

The invention provides a novel enriched photo-crosslinking agent, a preparation method of the novel enriched photo-crosslinking agent and application of the novel enriched photo-crosslinking agent in protein conformation and protein interaction analysis. The cross-linking agent can be subjected to a cross-linking reaction with protein at the moment of illumination, a cross-linked product can be enriched through click chemistry-biotin streptavidin, then steric hindrance of the cross-linked product is reduced by cutting azido biotin groups, and the mass spectrometric detection sensitivity and specificity of the cross-linked product are effectively improved.

The application provides a child skull fracture automatic detection method and device based on generated data augmentation. The method comprises the following steps: acquiring a first child brain CT image set, and performing pixel labeling and preprocessing to obtain fracture data, suture data and normal data; obtaining a trained fracture lesion generation model and a suture generation model according to the fracture data, the suture data and the normal data; randomly sampling Gaussian noise for multiple times, inputting the Gaussian noise into the fracture lesion generation model and the suture generation model to obtain generated fracture CT patch data and generated suture CT patch data; training a candidate fracture detection model according to the fracture data, the suture data, the normal data, the generated fracture CT patch data and the generated suture CT patch data, and outputting a fracture detection model; and acquiring a second child brain CT image, and detecting the second child brain CT image according to the fracture detection model. The fracture lesion data and the suture data are augmented, so that the resolution of fractures and sutures can be improved.

This invention relates to the field of pile foundation testing, and more particularly to a pile foundation testing device and method for civil engineering construction. The device includes a tamping apparatus for testing the pile body and testing components. In this invention, when the pile body tilts, the light spot undergoes vertical and / or lateral displacement on the receiving plane. If the tilt causes the light spot to move upward or downward, it may partially or completely enter the light aperture range of adjacent adjustment apertures. For example, when the top of the pile tilts to the right, due to the clockwise rotation of the transmitting end, the projection point of the 45° beam moves upward on the receiving end plane. The light spot originally illuminating the middle adjustment aperture may simultaneously cover the edge of the light aperture of one or two upper adjustment apertures. If the tilt angle is large, the center of the light spot may completely move out of the original aperture and into the adjacent aperture area, or even cross multiple apertures. Therefore, the tilt amount of the pile body can be determined by monitoring the number of infrared receivers that have sensed infrared radiation.

The invention discloses a rock core CT image crack segmentation method and device based on deep learning. The method comprises the following steps: making a training data set; expanding the number of training samples in the training data set to form a new data set; a deep learning network model is constructed, the deep learning network model comprises a U-Net network, a contraction path for feature extraction in the U-Net network adopts a feature extraction network based on a VGG-16 network, and an up-sampling expansion path in the U-Net network is added with a CBMA attention module. The CBMA attention module is used for changing the attention of the model to different spatial positions and different channels in the feature map and improving the weight of the area where the rock core crack is located; performing training and parameter adjustment on the deep learning network model by using the training set until the model converges; and testing the trained deep learning network model by using the test set, and evaluating the crack segmentation effect of the deep learning network model. According to the invention, the efficiency of rock core CT image automatic analysis work can be improved.

The present application relates to the technical field of crystal nondestructive testing, and particularly relates to a crystal defect nondestructive testing method and system based on pumped probe transient absorption spectrum, which comprises the following steps: detecting a target region of a crystal to be tested by using pump light and probe light; collecting a transient absorption image of the target region according to a preset time delay between the pump light and the probe light, and extracting a target risk region; focusing the pump light and the probe light, and performing point-by-point scanning on the target risk region by using the focused pump light and probe light; collecting three-dimensional transient absorption intensity distribution and defect dynamic evolution data of each scanning point in the target risk region under different time delays; performing correlation calibration based on the transient absorption image and the three-dimensional transient absorption intensity distribution to obtain defect parameters; and constructing a damage prediction model based on sample damage threshold data, and outputting damage threshold prediction results according to the defect parameters. The purpose is to realize nondestructive and rapid detection of internal defects of deuterated potassium dihydrogen phosphate crystals.

The invention provides a Laplace-DLTS defect parameter extraction method and a Laplace-DLTS defect parameter extraction system. The Laplace-DLTS defect parameter extraction method comprises the following steps: acquiring capacitance transient data obtained by a deep energy level transient spectrum test; carrying out preprocessing on the capacitance transient data; constructing a Laplacian transformation kernel function according to the capacitance transient data, and performing discretization processing to obtain a discrete Laplacian transformation model; regularization constraint parameters are introduced to construct a target function, a corresponding emissivity spectrum is obtained through numerical solution, and the regularization constraint parameters are adaptively determined according to signal characteristics of capacitance transient data; performing automatic peak identification on the emissivity spectrum based on a preset criterion; and according to the identified effective defect peak, automatically extracting and outputting physical parameters of the corresponding defect. By introducing the adaptive regularization constraint parameter, the regularization degree can be dynamically adjusted according to the actual signal characteristics of the capacitance transient data, the instability problem of noise amplification and solution is effectively suppressed, and the resolution capability and reliability of the emissivity spectrum analysis result are improved.

A heterodyne interferometer device and method based on wavefront regulation target mirror belong to laser interferometer measurement technical field, the present application solves the problem of insufficient system interference keeping ability under the condition of large angle deflection of target mirror. The device comprises a heterodyne interference mirror group and a wavefront regulation target mirror, the heterodyne interference mirror group separates a bundle of input light beams into a first measurement light beam and a first reference light beam, and separates another bundle of input light beams into a second measurement light beam and a second reference light beam, the wavefront regulation target mirror is installed on the measured object, and the second measurement light beam is reflected to form a return measurement light beam and returns to the heterodyne interference mirror group, when the measured object occurs angle deflection such as pitching or yawing in the movement process, the wavefront regulation target mirror deflects synchronously with the measured object, the return measurement light beam is parallel to the second measurement light beam, the change of the return measurement light beam caused by large angle deflection of the wavefront regulation target mirror is more manifested as the position translation of the optical axis, thereby weakening the angle mismatch and wavefront mismatch.

The present disclosure provides a content review method, device, equipment and medium, the method comprises: determining the first document type of the to-be-reviewed document, and performing paragraph segmentation processing on the text content of the to-be-reviewed document according to the first document type to obtain a plurality of first text blocks; the first text block is subjected to vectorization processing to obtain a first vector, and the retrieval result of the first vector in the vector database is determined, the retrieval result includes: at least one candidate vector, and the similarity score of each candidate vector and the first vector; obtain the context information of the first vector in the to-be-reviewed document, and determine the content matching value between each candidate vector and the context information; determine the target vector from the plurality of candidate vectors according to the similarity score and the content matching value; determine the paragraph semantic similarity according to the first vector and the target vector; determine the content review result according to the paragraph semantic similarity corresponding to each first vector. Therefore, the content review efficiency and accuracy can be effectively improved.

Embodiments of the present application provide a projection lens and a projection device. The projection lens comprises, in order from the magnification side to the demagnification side: a first lens group with negative focal power, a second lens group with positive focal power, a diaphragm, a third lens group with negative focal power, and a fourth lens group with positive focal power. The projection lens only comprises one aspherical lens, the aspherical lens is located in the first lens group, and the materials of the lenses comprised in the projection lens are all glass materials.

The present application provides a SNP molecular marker related to wet damage tolerance of Brassica napus and application thereof, wherein the sequence of the SNP molecular marker is shown as SEQ ID No. 1, and an A / G base mutation exists at 11872958 of the sequence shown as SEQ ID No. 1. The SNP molecular marker provided by the present application is based on a competitive allele-specific PCR marker detection method, and is used for detection and identification of the wet damage tolerance trait of Brassica napus. The detection method is simple in operation, low in cost, accurate in detection result, good in repeatability and stability, and different detection laboratories and different data results can be compared and verified with each other, and the data has universal comparability.

The invention discloses a power distribution area line loss analysis application scene evaluation method, system and equipment. The method comprises the following steps: acquiring electric quantity data of each monitoring node according to a topological structure of a power distribution area under different application scenes; calculating based on the electric quantity data of each monitoring node in the topological structure to obtain the line loss rate of the power distribution area and determine a line loss abnormal event; on the basis of the line loss abnormal event, the line loss simulation device is used for measuring the line loss of each device or measuring the electric energy data of each device to calculate the line loss of each device; performing calculation based on the line loss of each device and the line loss of a standard electric energy meter to obtain a line loss rate calculation error of each device; according to the invention, the electric energy data is obtained based on multiple scenes for line loss analysis, so that the accuracy and resolution of line loss analysis can be greatly improved; digital sensing of electric energy data of each node can be realized, and elements with excessive loss can be found out; whether the actual line loss is true or not can be assessed and the degree of unknown loss can be determined by calculating the line loss rate calculation error.

The present application relates to the technical field of tactile sensing, in particular to a six-dimensional force tactile sensor based on mode interference fiber structure and a preparation method thereof. The six-dimensional force tactile sensor comprises a rigid substrate, a flexible elastomer arranged on the substrate, and a sensing group arranged in the flexible elastomer. The sensing group is composed of at least three mode interference fibers uniformly arranged around the center of the sensing area. One end of the fiber extends from the bottom to the top of the flexible elastomer. By measuring the change of the light wave interference of each fiber, combining the temperature compensation of the reference fiber and the sensitivity matrix obtained by calibration, the six-dimensional force and torque vector is calculated by using the regularization least square method. The embodiment can solve the shortcomings of the six-dimensional force sensor in terms of electromagnetic interference resistance, flexible integration and miniaturization, and improve the multi-dimensional force demodulation accuracy and stability.

This invention discloses an underwater electric field source localization method based on a determinant orthogonal propagation operator and adaptive hybrid-driven differential evolution, belonging to the field of electromagnetic positioning and detection. This invention acquires and receives array signals and calculates the covariance matrix. Based on the propagation operator, it constructs a projection operator matrix orthogonal to the array manifold to replace the noise subspace, thereby constructing a determinant spatial spectrum function and defining a cost function. Then, based on this cost function, it constructs an adaptive hybrid-driven differential evolution framework, fusing the alpha evolution algorithm and an adaptive differential evolution algorithm based on successful historical records to solve for the target position coordinates. This invention eliminates the need for eigenvalue decomposition, reducing computational complexity, and accelerates convergence through an adaptive hybrid-driven search strategy, enabling fast and high-precision electric field source localization in complex underwater environments.

The present application relates to a resist composition, a laminate, and a pattern forming method. The present application provides a resist composition which is excellent in sensitivity, resolution, and LWR, and is also easy to stably handle in optical lithography using a high-energy ray, a laminate including a resist film obtained from the resist composition, and a pattern forming method using the aforementioned resist composition. The means for solving the problem is a resist composition characterized by comprising a metal complex represented by the following general formula (1) and a solvent.[Chemical Formula 1]

The application provides a video rendering method and system based on a computing shader and Xpixmap, compared with an opengl display and a graphics pipeline mode, the computing shader can fully call general computing resources of a GPU, as long as the computing resources are sufficient, high resolution and high frame rate video rendering can be supported, and the processing capacity is greatly improved compared with the graphics pipeline mode. Compared with the opengl display mode, the use of the Xpixmap display mode reduces the multiple copying of the video frame, and further improves the efficiency of the video rendering and display. The scheme fully calls the computing resources of the GPU, renders YUV into RGBA and directly stores in the buffer area corresponding to the Xpixmap, and then uses the X function to submit the display, compared with the opengl display and the graphics pipeline mode, the scheme has higher efficiency, stronger processing capacity and adaptability, and is especially suitable for a graphics processing pipeline with insufficient capacity but powerful general computing capacity.

A stereoscopic image display device is provided, comprising at least: a display portion having light-emitting devices, a first polarizing plate, and a pancake lens assembly. The first polarizing plate includes: a first polarizer; a first retardation layer bonded to the display portion side of the first polarizer; and a second retardation layer bonded to the assembly side of the first polarizer. The pancake lens assembly includes the retardation layer, the slow axis of the second retardation layer is substantially orthogonal to the slow axis of the retardation layer in the pancake lens assembly, the short-wavelength dispersion is 0.84 to 0.88, and the long-wavelength dispersion is 1.01 to 1.04.

The invention relates to an optical imaging lens. The optical imaging lens comprises a lens barrel, a lens assembly and a spacing assembly, the optical imaging lens satisfies the following relational expression: 0.85 < T67 / (CT6 + CT7) < 1.2; 1.8 < = d6s / f6 < 2.1; wherein T67 is the air interval from the image side surface of the sixth lens to the object side surface of the seventh lens on the optical axis, CT6 is the center thickness of the sixth lens, CT7 is the center thickness of the seventh lens, d6s is the inner diameter of the plane, perpendicular to the optical axis, of the object side surface of a sixth interval element, and f6 is the effective focal length of the sixth lens. According to the optical imaging lens, the sixth spacing element is arranged between the sixth lens and the seventh lens, and the inner diameter of the sixth spacing element is controlled in the longitudinal direction, so that the inner diameter of the sixth spacing element and the effective focal length of the sixth lens meet a specific relation, and the stray light path of light rays on the sixth lens and the seventh lens can be limited; therefore, the problem of stray light reflection between the sixth lens and the seventh lens is solved.

The application discloses a high-definition wide-angle lens, which comprises, in sequence along an optical axis from an object side to an image side, a first lens with negative optical power, the object side being a concave surface and the image side being a concave surface; a second lens with positive optical power, the object side being a convex surface and the image side being a convex surface; a third lens with positive optical power, the object side being a concave surface and the image side being a convex surface; a fourth lens with positive optical power, the object side being a convex surface and the image side being a convex surface; a fifth lens with negative optical power, the object side being a concave surface and the image side being a convex surface; and an infrared filter between the fifth lens and an imaging surface; the third lens is a glass spherical lens, the first lens, the second lens, the fourth lens and the fifth lens are plastic aspherical lenses, and a diaphragm is arranged between the second lens and the third lens. Through reasonable optical power distribution, the performance of 140-150 degrees of large field of view, optical total length of less than 13.6 mm and full-field MTF of 100 lp / mm being greater than or equal to 50% is realized, and the high-definition wide-angle lens is suitable for fields of vehicle-mounted surround view, intelligent security and the like.

The application discloses a VR optical system and a near-eye display device, the VR optical system comprises one optical lens close to the human eye side and at least one microlens array close to the display side; the optical lens has positive focal power, has a first surface close to the human eye side and a second surface away from the human eye side, the first surface is a concave surface, and the second surface is a convex surface; a composite film layer is arranged or attached on the first surface, and a partial reflector is arranged on the second surface; the microlens array has oppositely arranged first and second surfaces, the first surface has a plurality of microlens units, the plurality of microlens units have the same or different focal lengths, and the second surface is a plane. By arranging a special film layer on the optical lens and reasonably matching the microlens array, multiple light paths can be folded back, the thickness of the system is greatly reduced, a multiple visual field is established, the visual field in each small range can be optimized, and therefore clearer imaging quality can be obtained.

The application discloses a mass spectrum combined characterization qualitative and quantitative method and system of unified hidden state, relates to the cross field of analytical chemistry, bioinformatics and artificial intelligence data processing, the method obtains original data and instrument / method metadata containing LC-MS / MS, encodes to form a condition vector and is used for conditional modulation, constructs wave encoder and particle encoder, respectively Tokenizes continuous chromatographic signal and discrete fragment peak set into wave encoder and particle encoder to obtain wave representation and particle representation, realizes cross-modal interaction through wave-particle fusion module, forms unified hidden state or object-level unified hidden state set, adopts two-stage training of self-supervised pre-training and task fine-tuning, and applies conditional quantitative operator and qualitative operator to unified hidden state or object-level unified hidden state set in the inference stage, and parallelly outputs quantitative results and identification score / probability, and is suitable for end-to-end qualitative and quantitative analysis in DDA / DIA scene.

The invention discloses an arid region ecological restoration assessment method and system based on an energy balance mechanism, and relates to the technical field of ecological restoration assessment. The arid region ecological restoration assessment method based on the energy balance mechanism comprises the following steps: continuously acquiring remote sensing image data and remote sensing inversion data of each time period of each growth season of a set arid region; performing feature deconstruction processing on the remote sensing image data based on a pre-constructed spectral energy mapping model to obtain an energy absorption feature value of the remote sensing image data in a corresponding time period; and performing energy analysis processing on the remote sensing inversion data to obtain an energy dissipation characteristic value of the remote sensing inversion data in a corresponding time period, and analyzing an ecological restoration evaluation value of the set arid region in combination with an energy absorption characteristic value. Therefore, the ecological restoration condition of the arid region is accurately reflected, the distinguishing capability of the vegetation state in the complex environment is improved, and the reliability of ecological restoration effect evaluation is improved.

This invention belongs to the field of precision electronic circuit manufacturing technology, and provides a method and device for repairing broken lines in micro-circuits based on electric field-driven micro / nano 3D printing. This invention employs electric field-driven jet deposition micro / nano 3D printing technology, with the printing nozzle connected to a high-voltage power supply. Utilizing the diameter reduction effect of the Taylor cone in electrostatic dynamics, it achieves the fabrication of micro / nano-scale feature structures. Under the action of electrostatic field tension (changing traditional pressure-driven to tension-driven), high-viscosity materials can be printed with high resolution, enabling the repair of conductive line defects below 1μm. It is particularly suitable for repairing three-dimensional / curved conductive lines and conductive line defects in large-size (meter-scale) substrates. This invention can achieve high-resolution, high-precision, low-cost, and efficient repair of micro-precision conductive line defects.

The present application relates to the field of particle detection, and specifically provides a method and device for identifying and counting ultrafine particles based on photoelectric effect, and a storage medium, comprising: obtaining photoelectric signals generated by a flow of particles to be detected passing through a photoelectric detection array; extracting original features of the photoelectric signals, combining time domain decomposition and frequency domain transformation to construct an initial signal feature matrix; performing multi-scale tensor decomposition and signal component screening on the initial signal feature matrix to generate enhanced photoelectric signals; determining a polarization coherence angle interval based on the enhanced photoelectric signals, extracting polarization energy features, analyzing polarization state conversion characteristics, and establishing a three-dimensional polarization feature fingerprint; performing adaptive segmentation processing on the enhanced photoelectric signals, extracting oscillation feature spectrum, and combining the three-dimensional polarization feature fingerprint to obtain a feature correlation matrix; and constructing a multi-dimensional classification criterion based on the feature correlation matrix, and determining a final particle count result accordingly. The present application improves the accuracy and recognition ability of ultrafine particle counting, and is particularly suitable for high-density micro-nano particle detection in complex environments.