591 results about "Reference sample" patented technology

The invention provides an underground water environment monitoring system and method, and the method comprises the steps: carrying out the three-dimensional fluorescence spectrum full-wave band scanning of a known type of pollution source reference sample in a target monitoring region, and obtaining a three-dimensional fluorescence spectrum data set; performing characteristic analysis on the three-dimensional fluorescence spectrum data set to obtain fluorescence characteristic components, and determining a characteristic excitation wavelength corresponding to each fluorescence characteristic component; the classification contribution degree of each characteristic excitation wavelength is evaluated, and a characteristic excitation wavelength combination during source tracing of the pollution source is obtained through screening; performing fixed wavelength scanning on the to-be-detected underground water sample in the target monitoring area according to the characteristic excitation wavelength combination, and determining the initial type of the pollution source; and determining the relative contribution degree of the type of the pollution source of the to-be-detected underground water sample, simulating the migration trend of the pollution plume according to the underground water migration and diffusion model, and generating the position of the pollution source of the to-be-detected underground water sample. By adopting the scheme of the application, the pollution source of the underground water can be quickly identified and positioned at low cost.

The invention belongs to the technical field of image processing, and particularly relates to a coded disc surface tiny scratch recognition method based on micro texture feature analysis, which comprises the following steps: acquiring a coded disc grating texture image and converting the coded disc grating texture image into a rectangular coordinate system to obtain an expanded grey-scale map; the optimal main direction of the grating texture is determined through rotation projection analysis; for each pixel point in the grey-scale map, sampling along two sides of the optimal main direction to form a reference sample; calculating a weighted average value of the gray values of the sample points in the reference sample to obtain a trend prediction value, calculating a residual error between the gray values of the pixel points and the trend prediction value, and determining a texture deviation index in combination with the change condition of the gray values of all neighborhood pixel points of the pixel points; and finally, identifying the scratches through threshold segmentation. According to the method, the grating edge interference can be effectively inhibited under the strong periodic texture background, and the tiny scratch features can be accurately extracted.

The invention discloses a text recognition model training method and device, electronic equipment and a storage medium. The method comprises the steps of performing text prediction on a first training sample set of a current training round based on a first text recognition model of the current training round to determine a first prediction result and a first confidence coefficient of the first prediction result; selecting a first reference sample from each first training sample based on each first confidence coefficient; adjusting parameters of the first text recognition model based on a first loss value determined by the first prediction result to obtain a second text recognition model of the next training round; and determining a second reference sample based on the first recognition model and the first reference sample, adding the first reference sample and the second reference sample into the first training sample set to obtain a second training sample set of the next training round, and training a second text recognition model based on the second training sample set. According to the method, the problems of low text recognition accuracy and insufficient generalization ability of a text recognition model in a specific scene are solved.

Provided in the present invention is a method for detecting the fingerprint of an analgesic cream for knocks and falls, relating to the technical field of drug detection. The detection method comprises the following steps: preparing a test sample solution; preparing a reference sample solution; and injecting the test sample solution and the reference sample solution into a high performance liquid chromatograph, and recording the chromatogram. The method has the advantages of simplicity, stability, high precision, and good reproducibility. The method can conduct multicomponent fingerprint research on the analgesic cream for knocks and falls, and perform attribute research and similarity evaluation on main chromatographic peaks. The method comprehensively reflects the uniformity and stability of the analgesic cream for knocks and falls, and can evaluate, more comprehensively and scientifically, the quality of the analgesic cream for knocks and falls, thereby ensuring the quality and efficacy of the product.

The invention discloses a method for detecting negative electrode lithium precipitation in a lithium ion battery, and relates to the technical field of lithium ion battery safety monitoring. The method is used for solving the problems of weak lithium precipitation characteristic and high aging false alarm rate under a dynamic working condition. The method comprises the following steps: firstly, dividing a charging process into a unit capacity differential interval, synchronously calculating voltage and temperature change rates, constructing a multi-dimensional feature data set, and eliminating time-domain current interference; then, synthesizing a real-time thermoelectric coupling vector representing electrochemistry and thermodynamics association in the two-dimensional characteristic phase space to realize multi-physical field characteristic fusion; calculating the Mahalanobis distance between the real-time vector and the reference sample group to generate a statistical distance sequence which quantifies the deviation thermoelectric balance degree; finally, according to real-time impedance evolution, a safety reference is corrected, a dynamic tolerance envelope upper limit is constructed, lithium precipitation is confirmed through continuous time sequence comparison of a sequence and the upper limit, a self-adaptive anti-aging monitoring closed loop is constructed, and accurate support is provided for full-life-cycle safety management of the battery.

The present invention relates to a system and a method for measuring and analyzing minimal residual disease (MRD) in pediatric B-cell precursor acute lymphoblastic leukemia (B-ALL) using multiparameter flow cytometry (MPFC). The invention finds application in clinical diagnostics and hematology-oncology for quantifying MRD in B-ALL patients with high sensitivity and specificity, needed for risk stratification, monitoring treatment response, and informing therapeutic decisions. The system comprises interconnected subsystems including an acquisition subsystem with an MPFC instrument, a control and file generation subsystem, and an analytical subsystem. The analytical subsystem incorporates modules for sequential data reduction, automated data cleaning, automated unsupervised data clustering, and interactive cluster analysis. Key advantages include high MRD detection sensitivity (e.g., 10⁻⁵ or 0.001%) and high specificity, without reliance on reference samples or supervised machine learning models, making it applicable in laboratories with different measuring equipment and using different panels of antibodies for identification of leukemic cells.

A method of decoding and / or encoding video data is provided. The method includes: determining a block unit from the video data; determining a guided reference block indicated by a guiding reference vector of the block unit; determine a relocated intra derivation mode based on a relocated position of the guided reference block, where: the relocated intra derivation mode is used to predict a relocated reference unit, that covers the relocated position, and relocated reference parameters are derived by using the relocated intra derivation mode based on sample values of relocated reference samples, neighboring the relocated reference unit; determine the relocated reference parameters as one of intra merge derivation candidates to add to an intra merge list of the block unit; and reconstruct the block unit based on the intra merge list. An electronic device and a non-transitory machine-readable medium of an electronic device using the aforementioned method are also provided.

An image encoding / decoding method and device are provided. An image decoding method according to the present disclosure comprises the steps of: determining reference samples separated by a distance of n samples from a current block and reference samples separated by a distance of m samples from the current block (wherein the reference samples separated by the distance of n samples include a top reference sample and a top-right reference sample, and reference samples separated by the distance of m samples include a left reference sample and a bottom-left reference sample); and generating a prediction block of the current block on the basis of a weighted sum of at least two of the determined reference samples, wherein the weight used in the weighted sum calculation is determined on the basis of the n or m, which may be natural numbers.

An intra prediction method and apparatus are discussed. In an example, an image decoding method can include deriving an intra prediction mode of a current block, deriving neighboring reference samples of the current block, deriving filtered reference samples by performing filtering on the neighboring reference samples, and generating a predicted block based on the filtered reference samples. For deriving the neighboring reference samples, an unavailable neighboring reference sample can be substituted by using an available neighboring reference sample.

The application belongs to the technical field of mechanical arm motion planning, and provides a kind of adaptive sampling and multi-channel expansion mechanical arm path planning method, first, the environment obstacle set is constructed, the point to obstacle distance, the clearance configuration and the segment level minimum clearance are established, and the unified safety criterion is constructed;Subsequently, according to the approximation state of bidirectional search tree, the sampling window is adaptively updated, and the random reference sample is generated in combination with the stagnation detection mechanism;On this basis, the hierarchical multi-channel expansion mechanism of direct pointing expansion, bypass expansion, potential field wall expansion and global bottom expansion is used to generate candidate new nodes;When a feasible new node is generated, it is connected to the current search tree and real meeting detection is carried out, if the double trees are successfully connected, path backtracking, splicing, simplification and full path safety review are further executed, and the final executable path is output.The application can improve the safety, search efficiency and environmental adaptability of the path planning of the mechanical arm in the complex limited environment.

An element quantitative analysis method and device, electronic equipment and storage medium are disclosed. The element quantitative analysis method comprises: obtaining spectral data of a sample to be measured and a reference sample through rays, the sample to be measured comprising at least one element to be measured, and the reference sample being a sample with the same matrix composition as the sample to be measured but not containing the element to be measured; determining a transmittance value at an absorption edge of each element to be measured in the sample to be measured based on the spectral data of the sample to be measured and the reference sample; and determining a concentration value of each element to be measured in the sample to be measured based on the transmittance value at the absorption edge of each element to be measured in the sample to be measured.

A method of video decoding, comprising: obtaining a bitstream comprising a plurality of coded frames in a video signal; decoding the plurality of coded frames into a plurality of superblocks and decoding the plurality of superblocks into a plurality of residual blocks; recovering each of the plurality of residual blocks into a coded block based on a multi-reference line intra prediction flag and reference samples in each coded frame, wherein a plurality of reference lines are divided into an upper reference line and a left reference column, and one upper reference line and one left reference column are selected for intra prediction; reconstructing each frame in the video signal by storing the recovered coded block of each of the plurality of residual blocks in a frame buffer; and outputting the reconstructed frames in succession to recover the video signal.

The application provides a board card configuration method, device, medium and program product, which can be applied to the technical field of computers. The board card configuration method comprises: processing attribute information of a target board card obtained by using a configuration recommendation model to obtain a configuration recommendation type for the target board card, wherein the configuration recommendation model is trained by using attribute information of a sample board card that has been configured as a reference sample; in the case where it is determined that there is no configured template in a preset configuration template library that matches the configuration recommendation type, a candidate template in the preset configuration template library that satisfies a preset condition in terms of configuration item difference between the configuration recommendation type is determined; and the candidate template is updated based on a configuration item component according to the configuration item difference between the configuration recommendation type and the candidate template to obtain a first target template, so that the target board card is configured according to the first target template.

An object of the present invention is to provide a technique capable of coping with sensitivity that changes for various reasons when measuring the size of particles contained in a liquid sample using light. A particle measurement device according to the present invention calibrates a size of a particle included in a sample using a reference sample, the reference sample including a reference sample window having the same material quality and thickness as those of a sample container window and including a substance having a reflectivity similar to that of the sample, and calibrates the sample size using the reflectivities of the substance measured at different two time points (see FIG. 9).

Provided are a method for predicting a colour component, an encoder and a decoder. The method includes: a first reference sample set of a colour component to be predicted of a current block is determined; a reference sample subset is determined from the first reference sample set, where the reference sample subset includes one or more candidate samples selected from the first reference sample set; and a model parameter of a prediction model is calculated according to positions of reference samples in the reference sample subset, where the prediction model is configured to perform prediction processing on the colour component to be predicted of the current block.

This invention relates to the field of intelligent monitoring technology, and discloses an intelligent monitoring system and method for injection molding processes using injection molds. The system includes: acquiring synchronous operation signals from mold opening to the ejection window, mapping their time series to an ejection relative stroke reference system constructed based on the ejector plate displacement; calculating the deflection resistance trajectory bending degree based on the normalized derivative transformation of the extracted force relative to the relative stroke reference system; extracting morphological parameters and demolding work offset, and combining them to construct a state vector; constructing a classification space using a reference sample library, and optimizing a preset classifier using a particle swarm optimization algorithm; inputting the state vector to be measured into the classifier to output the continuous anomaly probability and the abnormal fluctuation work amount; and finally calculating the work concentration point and mapping it to the corresponding mold condition node. This invention can overcome the limitations of the time domain and rigid thresholds, identify abnormal demolding actions within a very short window early, and achieve precise positioning.

The invention provides a ready-made garment size conversion method and device based on 3D scanning, a medium and a product, and the method comprises the following steps: obtaining three-dimensional scanning data of a target object in a current dressing state, and carrying out the feature recognition to determine garment category information; calling a benchmark reference sample clothes model corresponding to the category information, wherein the model comprises a benchmark structure relaxation amount, a fabric thickness and a fabric elasticity coefficient; human body feature points are positioned based on the three-dimensional scanning data, geometric measurement is calculated, and garment contour size data are extracted; performing reverse reduction on the overall size of the ready-made garment by combining the sample garment model parameters to obtain the net body size of the human body; and obtaining a forward garment model of the target customized category, determining a target relaxation amount according to a model addition rule, and superposing the target relaxation amount on the net body size to generate a target garment production size. By implementing the technical scheme provided by the invention, intelligent and automatic calculation of the customized garment size is realized, and the size conversion precision and the production efficiency are improved.

A device and method for real-time measurement using acoustic wave sensors, without the measurement being altered by environmental conditions such as temperature, humidity, flow or pressure, and without requiring the use of external gauges. The proposed method and device improve the stability and detection limit of quartz crystal microbalance (QCM) sensors. The method and device are based on the high degree of correlation between acoustic resonators integrated into a single piezoelectric substrate. The use of a reference sample to correct the instability of the baseline is not required. The method and device are intended for the industrial sector of the production of measuring devices based on quartz crystals.

The invention discloses a mountain disaster susceptibility prediction method and device considering a composite terrain distance, and relates to the field of natural disaster risk assessment, and the method comprises the steps: obtaining a mountain disaster sample and a multi-source environment factor in a research area range; terrain factors are screened from the multi-source environment factors, and the weight of each terrain factor is calculated based on an entropy weight method; on the basis of the Euclidean space distance, a weighted terrain difference distance is introduced, and a composite terrain distance is constructed through fusion; sorting and screening the mountain disaster sample data according to the composite terrain distance, and determining a local reference sample set and a geographic weighted weight corresponding to each local reference sample; adopting a Bayesian optimization method to perform joint optimization on the bandwidth parameter of the geographical weighted weight, the weight parameter of the composite terrain distance and the structure parameter of the random forest model to obtain an optimal parameter combination; and under the constraint of the optimal parameter combination, carrying out point-by-point prediction on the research area. According to the invention, the precision of mountain disaster susceptibility prediction can be improved.

A method for decoding a picture, a method for encoding a picture, an encoder, and a decoder are provided. The method for encoding a picture includes (i) determining a width and a height of a coding block in the picture; (ii) if the width and the height are equal to N, where N is a positive integer power of 2, determining a matrix-based intra prediction (MIP) size identifier indicating that an MIP prediction size equal to N; (iii) deriving a group of reference samples of the coding block; and (iv) deriving an MIP prediction of the coding block based on the group of reference samples and an MIP matrix corresponding to the MIP size identifier.

An apparatus includes at least one processor for decoding a block of a picture using intra-prediction that is configured to: decode, from a data stream, a mode index, the mode index indicating a matrix-based intra-prediction mode out of a plurality of matrix-based intra-prediction modes based on a size of the block, derive an input vector based on downsampling reference samples neighboring the block, determine a matrix based on the size of the block and the mode index, compute a respective output for each component of a matrix-vector product between the the input vector and the determined matrix, the respective output computed by performing, a right shift by a number of bits which is independent of the matrix-based intra-prediction mode indicated by the mode index, and for each component of the matrix-vector product, use the respective output to predict a respective sample of the block.

The invention discloses a task-aware robot availability prediction method based on retrieval enhancement and cross-image alignment. The method comprises the following steps: constructing an accessibility memory bank containing object appearance characterization and interaction prior; performing semantic filtering on the memory bank based on the task tag, and retrieving a reference sample according to appearance similarity; a prediction process is divided into two parts, namely static contact point positioning and dynamic action direction prediction, contact points are correspondingly positioned by querying dense features of an image and a reference sample, and an action direction is regressed by a retrieval-enhanced cross-image alignment model; the model performs action vector modulation on the reference features, and performs gating cross-attention fusion with the query image features, and the fusion weight is jointly determined by the similarity and the learnable weight; and finally, the two-dimensional contact point and the action direction are lifted into a three-dimensional pose and a three-dimensional trajectory, and executable grabbing and post-contact actions are generated. According to the method, cross-category robust generalization under the condition of few samples can be realized, and the operation success rate of the robot is improved.

The various implementations described herein include methods and systems for encoding and decoding video. In one aspect, a method of video decoding includes receiving video data that includes a first block from a video bitstream, where the first block is encoded in a smooth mode. The method further includes identifying a set of reference samples for the first block and deriving a first prediction value for the first block. The method also includes deriving a refined first prediction value for the first block using a weighted sum of a first reference sample of the set of reference samples and the first prediction value and decoding the first block based on the refined first prediction value.

The invention belongs to the technical field of reliability analysis of devices, and particularly relates to a quantitative analysis method for migration characteristics of an indium component in an epitaxial wafer. Comprising the following steps: providing epitaxial wafers with consistent initial characteristics, and carrying out uniform cleavage; taking one small block as a reference sample, and performing external disturbance treatment on other small blocks; the method comprises the following steps: respectively carrying out non-destructive structure characterization treatment on a reference sample and a sample subjected to external disturbance treatment, including high-resolution X-ray diffraction test, photoluminescence and cathode fluorescence combined test and time-resolved photoluminescence spectrum measurement; comprising high-resolution transmission electron microscope and EDS energy spectrum combined imaging and secondary ion mass spectrum; finally, FP lasers are prepared respectively, and electrical characterization processing is carried out. And quantitatively analyzing the influence of indium component migration on the electrical properties of the FP laser according to the result. The method has the advantages that the migration of indium atoms is analyzed according to a method for changing the microstructure in the quantum well and changing the dynamic behavior of a carrier.

The present invention provides a resin material analysis method and a resin material analysis device, with which it is possible to nondestructively evaluate the degree of progress of hydrolysis for a resin material that contains a polymer having hydrolyzability.　Provided is a resin material analysis method in which a resin material that contains a polymer having hydrolyzability is subjected to: a reference measurement step for performing near-infrared spectroscopic measurement on a plurality of reference samples that are composed of the resin materials having different degrees of progress of hydrolysis so as to obtain a plurality of reference spectra; an objective measurement step for performing near-infrared spectroscopic measurement on an objective sample that is composed of the resin material having an unknown degree of progress of hydrolysis so as to obtain an objective spectrum; and an estimation step for estimating the degree of progress of hydrolysis in the objective sample by comparing the objective spectrum with the plurality of reference spectra in a wavelength range including contributions (A, B) of near-infrared absorption by a hydroxyl group.

Provided are an optical inspection device capable of accurately obtaining the film thickness of a film covering a sample even when there is a difference in spatial intensity distribution between irradiation light to the sample and irradiation light to a reference mirror, and a control method therefor. The optical inspection device includes: a light source that emits light; a beam splitter that splits the light emitted from the light source into first irradiation light directed toward a sample and second irradiation light directed toward a reference mirror; an interference light measurement unit that measures interference light due to object light which is reflected light of the first irradiation light from the sample and reference light which is reflected light of the second irradiation light from the reference mirror; and a control unit that controls each unit. The optical inspection device is characterized by further including: an object light measurement unit that measures the intensity of only the object light; and a storage unit that stores the intensity of the object light of a reference sample measured in advance by the object light measurement unit. The control unit is characterized by obtaining the film thickness of a film covering an observation sample on the basis of the intensity of the object light of the reference sample and the intensity of the object light of the observation sample measured by the object light measurement unit.

The application relates to the technical field of defect ultrasonic detection, and provides a defect ultrasonic imaging method and system under a strong noise background, which comprises the following steps: performing iterative scanning ultrasonic detection on a to-be-detected defect sample to obtain a first initial signal point by point, and performing iterative scanning ultrasonic detection on a reference sample to obtain a second initial signal point by point; performing noise reduction pretreatment on the first initial signal to obtain a first noise reduction signal, and performing noise reduction pretreatment on the second initial signal to obtain a second noise reduction signal; performing signal matching operation on the first noise reduction signal and the second noise reduction signal, and then performing background difference subtraction calculation to obtain a scattering characteristic signal; performing multi-directional adjacent wave difference subtraction calculation on the scattering characteristic signal to obtain a defect characteristic signal; and drawing an image according to the defect characteristic signal; and judging whether the to-be-detected defect sample has defects according to the image. The method and system can realize clear imaging of defects, and improve the precision and detection efficiency of online detection of defects.

A video encoding / decoding method and apparatus are provided. The video decoding method relating to this disclosure includes the steps of: acquiring one or more candidate intra-prediction information based on intra-prediction information of surrounding blocks of the current block; constructing an intra-prediction candidate list based on the one or more candidate intra-prediction information; acquiring an intra-prediction candidate index indicating one of the candidate intra-prediction information included in the intra-prediction candidate list; and generating a predicted block of the current block by performing intra-prediction based on the candidate intra-prediction information indicated by the intra-prediction candidate index. The candidate intra-prediction information includes TIMD (Template based intra mode derivation) information, DIMD (Decoder side intra mode derivation) information or linear model information, LIP (Linear interpolation intra prediction) information, PDPC (position dependent intra prediction) information, MRL (multi reference line) information, TMRL (Template-based multiple reference line) information, ISP (intra sub-partition) information, MIP (matrix-based intra prediction) information, interpolation filter information, MDIS (mode dependent intra smoothing) information, and CIIP (combined inter and intra It may include at least one of the following: prediction information, SGPM (spatial geometric partition mode) information, intra-TMP (template matching intra prediction) information, in-screen prediction directionality mode information, extended planar information, intra-prediction fusion information, peripheral reference sample characteristics information, or IBC (intra block copy) information.