17results about How to "Small sample size" patented technology

This invention discloses a method for evaluating the storage lifetime of a missile-borne fiber optic inertial navigation system, comprising: determining the acceleration temperature value T of the test. k The acceleration temperature value T was obtained. k Under these conditions, the acceleration coefficient A of the fiber optic inertial navigation system F According to the acceleration coefficient A of the fiber optic inertial navigation system F Storage time t required for fiber optic inertial navigation systems 贮存时间 The acceleration temperature value T was obtained. k Under these conditions, the time t required to conduct accelerated testing 加速时间 According to t 加速时间 Determine several sampling times; at the accelerating temperature value T k Under certain conditions, accelerated testing was conducted on the fiber optic inertial navigation system (INS), and degradation-sensitive parameters of the INS were acquired at each sampling time. A relationship between these degradation-sensitive parameters and time was constructed. Based on the relationship between these parameters and time under storage temperature conditions, and the out-of-tolerance criterion for the degradation-sensitive parameters, the storage lifetime of the INS under storage temperature conditions was obtained. This invention achieves the assessment of the storage lifetime of fiber optic INS, with advantages such as short testing time, scientific evaluation method, and reasonable evaluation results.

This invention discloses an adaptive PC-Kriging reliability analysis method and system based on active learning. The method includes: using weighted clustering to obtain uniformly distributed first candidate samples from a pre-generated MC sample pool and constructing an initial PC-Kriging model; using interval reduction to select samples and construct a new sample pool, dividing the new sample pool into two sub-sample pools: a safe domain and a failure domain; for each sub-sample pool, weighted clustering is used again to select uniformly distributed second candidate samples; using the second candidate samples distributed in the failure domain and the safe domain, crossing points are constructed; the constructed crossing points are used as new experimental points to iteratively update the PC-Kriging model; convergence is determined and the results are output. The technical solution of this invention focuses on key regions through interval reduction and updates the model based on crossing points, which can more accurately approximate the limit state surface, reduce the number of experimental points, improve prediction accuracy, and is more efficient in utilizing computational resources.

The invention belongs to the technical field of simulation optimization, and particularly relates to a centrifugal pump impeller multi-physics field coupling simulation optimization method which comprises the following steps: constructing a geometric model of a centrifugal pump by adopting three-dimensional drawing software according to an actual structure of the centrifugal pump; finite element modeling is conducted, and a finite element analysis model of the centrifugal pump is obtained; hexahedral grids are divided for the impeller, a shape variable space of the impeller is built, and the impeller deformation serves as a design variable; solving the finite element analysis model after grid division through a solver; an experimental design sample is generated by adopting a Latin hypercube sampling method, a global response surface model is constructed through quadratic polynomial regression fitting, an optimal impeller deformation amount is iteratively solved by adopting a global response surface optimization algorithm, a finite element analysis model is adjusted, and an optimization model is formed. According to the method, fluid-solid coupling simulation, a global response surface method and an automatic iteration process are fused, and the efficiency of the centrifugal pump impeller is maximized and optimized on the basis of accurately matching actual working conditions.

The application discloses a kind of agricultural non-point source pollution load evaluation method, device and medium based on water quality monitoring, and is related to agricultural non-point source detection field, wherein, method includes: according to hydrology water quality monitoring data, the sampling days of each target pollutant are estimated, the daily load data corresponding to the estimated minimum sampling days is posterior stratification, and the annual load of each target pollutant in each stratification is estimated by applying ratio method, and finally the annual total load of each target pollutant is obtained.In the application, the minimum sampling days is obtained by estimating the sampling days, which reduces the number of samples involved in pollution load calculation, improves the calculation efficiency, and uses ratio method to estimate pollution load, which ensures the accuracy of load estimation value under the premise of relatively high efficiency.

The application discloses a digital PCR kit for thyroid cancer detection, and is characterized in that the digital PCR kit is used for detecting TERT-C250T, TERT-C228T and / or BRAF V600E mutations, a buffer system in the kit comprises Tris-HCl, glycerol, dNTPs, KCl, MgCl2, Taq DNA polymerase, UNG enzyme and betaine, the final concentration of the betaine is 0.25-0.7 M, and the final concentration of the Taq DNA polymerase is more than 3 U. The application provides a high-sensitivity, simple-to-operate auxiliary molecular diagnostic kit for thyroid cancer based on a digital PCR platform, combined with fluorescence quantification and multiplex PCR technology. The kit has high sensitivity and high specificity through optimization of the final concentration of the betaine, the final concentration of the Taq DNA polymerase and primers and probes for detecting three mutation sites, and the sensitivity of the kit for detecting target sequences in a complex background can reach 0.2 %.

The application provides a high-speed high-precision analog-digital converter and a performance improvement method of the analog-digital converter, the analog-digital converter comprises an input configuration module, an analog-digital conversion module, an adaptive parameter extraction module and a whole cycle data recovery module, in a parameter extraction working mode, the modified parameters are extracted through the cooperation among the input configuration module, the analog-digital conversion module, the adaptive parameter extraction module and the whole cycle data recovery module; in a normal working mode, the digital calibration and correction of the digital signal are realized through the analog-digital conversion module and the modified parameters, the modified parameters comprise a jitter correction parameter, a gain correction parameter and a mismatch error correction parameter, the signal-to-noise ratio and the linearity of the analog-digital converter are improved, the influence of the performance of the analog-digital converter caused by the smaller and smaller intrinsic gain and the larger and larger mismatch error with the reduction of the process size is avoided, the injected random jitter is completely eliminated, and the influence of the signal-to-noise ratio of the analog-digital converter caused by the injected random jitter is avoided.

The application discloses a microfluidic device and a method for introducing microparticles into cells. The method comprises injecting a microparticle solution and a cell suspension into an inlet channel, and the microparticle solution and the cell suspension are mixed and flow into a main channel. When flowing through the main channel, gas in a microstructure and mixed liquid in the main channel form a gas-liquid interface at a first gap. A piezoelectric transducer is controlled to be turned on, and the piezoelectric transducer generates sound waves. The sound waves make the gas-liquid interface vibrate and generate acoustic vortices near the gas-liquid interface. The acoustic vortices drive the cells and the microparticles in the mixed liquid to gather and rotate. The cells reversibly deform under stress to generate micropores on the cell membrane. The microparticles enter the cells through the micropores on the cell membrane, and the process of loading the cells with the microparticles is completed. The device and the method disclosed by the application realize higher microparticle loading efficiency and solve the problem of uneven microparticle loading effect while protecting the integrity and functionality of the cells.

The application discloses a global sensitivity calculation method of a power system risk event based on subset simulation, establishes a representation method of a risk event in power system uncertainty quantification considering uncertainty of a random source model, applies subset simulation to decompose a rare event to reduce sampling times, and efficiently calculates global sensitivity of uncertainty of probability distribution parameters of a random source in a power system to a probability of a rare event. The scheme greatly reduces a sample size while guaranteeing accuracy of rare event probability evaluation, effectively solves the problem of low efficiency of a traditional Monte Carlo sampling algorithm in simulating a rare event, and can quickly evaluate the influence degree of uncertainty of probability distribution parameters of a random source in a power system to a probability of a rare event of power grid operation.

The application discloses a kind of based on U-Net model's complex building classification extraction method, including with steps:Step1.Getting unmanned aerial vehicle image data;Step2.Make building classification dataset.Step3.Using classification building dataset respectively trains U-Net model, obtains building extraction model;Step4.Enhance dataset;Step5.Using enhanced dataset, U-Net model is fine-tuned training, obtains fine-tuned building extraction model;Step6.Model test: the building image of prediction dataset is input to step Step5 obtains fine-tuned building extraction model, and classification is identified to building.The application can be under the condition that building dataset is limited, to complex building type is effectively identified extraction, the building contour after segmentation is clear, building is complete, can exist in the form of single house, effectively improve the extraction accuracy of complex building.

This invention belongs to the interdisciplinary field of sensor design and artificial intelligence, specifically a sensor design method that proactively adapts to the application environment. This invention employs an active learning approach, actively selecting the most informative samples from unlabeled data for labeling, thereby maximizing model performance with less data acquisition. Compared to traditional methods of multiple sensor fabrications, active learning dynamically assesses the uncertainty or representativeness of data samples during model training, prioritizing data points that have the greatest impact on the model's decision boundaries and the strongest performance improvement potential. This method is not only applicable to a single type of sensor chip, but its database design and algorithm model are compatible with various material systems (including organic / inorganic, flexible / rigid, etc.), and can achieve rapid adaptive modeling and parameter recommendation for different application scenarios through transfer learning, demonstrating good scalability and versatility.

This invention discloses an antioxidant low-density lipoprotein monoclonal antibody and its applications, belonging to the field of antibody technology. The antioxidant low-density lipoprotein monoclonal antibody of this invention possesses high specificity, high affinity, and high sensitivity. An immunoturbidimetric assay kit prepared based on the antioxidant low-density lipoprotein monoclonal antibody of this invention can quantitatively detect oxidized low-density lipoprotein in peripheral blood samples, and can have a good diagnostic effect on cardiovascular diseases caused by atherosclerosis (AS).

The invention relates to a photovoltaic unmanned aerial vehicle cleaning path candidate generation method based on representative sampling, and the method comprises the steps: designing a small number of balanced and low-correlation factor combinations around key factors such as starting point selection, an intra-cluster construction strategy, a weight-distance tradeoff coefficient and a cross-grade connection rule through a small-sample representative combination sampling method, and carrying out the selection of the cleaning path candidate of a photovoltaic unmanned aerial vehicle. Quickly generating a small batch of array cluster access sequence candidates with strong representativeness; under each cluster sequence, a component-level path is generated according to a set intra-cluster component sequence and direction optimization strategy; and finally, combining the clusters with the paths in the clusters to generate all candidate paths. According to the method, dirt weight rapid coverage and flight path / time cost control are taken into consideration, and high-quality candidate paths are provided for subsequent global path scoring and screening.

The utility model relates to content detection technical field, concretely relates to a kind of micro solution content detection device, comprising: pedestal, the pedestal is equipped with installation cavity, the first installation hole and the second installation hole that installation cavity two side walls are respectively set up, and the first installation hole and the second installation hole are connected with installation cavity;Photosensitive component, it includes light source and the sensor for receiving light beam signal, the light source is set in the first installation hole, and the sensor is set in the second installation hole;Sample storage element, it includes detection chamber and with the liquid inlet pipe and liquid outlet pipe that detection chamber is communicated, the detection chamber is set in the installation cavity, and the detection chamber side wall is set as light-transmitting material, and the light beam that the light source emits penetrates through the detection chamber;Through the above setting, under the premise of ensuring detection accuracy, effectively improve the detection efficiency, reduce the production and operation cost, satisfy real-time online detection demand.

The invention belongs to the technical field of flight parameter data processing, and particularly provides a method for judging the steady state of flight parameter data, which comprises the following steps: extracting flight parameter point location data to generate a parameter list; calculating and combining time intervals meeting preconditions; screening parameter points of the main parameters in the merging time interval; two stable time intervals are obtained through comparison of adjacent point thresholds and comparison of interval time thresholds; and taking the intersection of the two intervals to obtain a final steady-state time interval. According to the method, the sample size is reduced through precondition screening, the data processing efficiency is improved, irrelevant data is filtered, the judgment credibility is improved, and the method can be used for deducing pilot operation habits, judging the sensitivity of finished products / structural parts and predicting system faults and is suitable for flight parameter data steady-state analysis of various airplanes.

The application discloses a kind of intelligence street lamp brightness adjustment methods based on digital twinning, to solve the problem that digital twin model is online calibrated and self-updating process is caused by lamp aging, pollution and individual difference, and long-term deviation of twin and entity, slow calibration convergence and active detection may affect lighting safety, the application is by constructing digital twin model and obtaining dimming instruction, measured illumination, measured electrical parameter and context information, generate optical residual and electrical residual;According to the context information, the hazard rate is adaptively generated, and the change point judgment is obtained by using Bayesian online change point detection, and the digital twin model and online sparse Gaussian process regression model are reset or segmented initialization when the change point triggers;Twin predicted illumination is used as the mean function of online sparse Gaussian process regression model to carry out residual online learning and compensation prediction, and under the illumination safety constraints such as minimum illumination threshold, maximum dimming change amplitude threshold and glare index threshold, the dimming instruction cycle update is selected and detected by using the context multi-arm Bandit based on Thompson Sampling, the technical effects of fast online calibration, long-term drift tracking and stable brightness adjustment under the illumination safety constraints are realized.

The application discloses a short-chain chlorinated paraffin mitochondrial toxicity evaluation method, which comprises the following steps: constructing a short-chain chlorinated paraffin human cell line (L02) in-vitro exposure model, and using a Seahorse extracellular flux analyzer to measure extracellular acidification rate and oxygen consumption rate, so as to evaluate the influence of short-chain chlorinated paraffin exposure on cell respiration and energy synthesis; using a transmission electron microscope to observe the ultrastructure of cell mitochondria and performing morphological analysis, using a JC-1 mitochondrial membrane potential fluorescent probe to label the mitochondrial membrane potential and identifying the change of the mitochondrial membrane potential under a confocal microscope, so as to identify the damage of short-chain chlorinated paraffin to the structure and function of L02 cell mitochondria; and using a mitochondrial metabolomics method to quantitatively analyze small molecule metabolites. The method can accurately and efficiently evaluate the mitochondrial toxicity of pollutants and reveal the potential toxic action mechanism. Meanwhile, the method has the advantages of simple pretreatment method, rapid detection, good repeatability and comprehensive information obtained.

This invention belongs to the field of biomedical technology, specifically relating to a method and kit for improving the sensitivity and specificity of circulating tumor cell (CTC) detection. The method first treats anticoagulated blood with erythrocyte lysis buffer, centrifuges to obtain a cell suspension (including leukocytes and circulating tumor cells); then, a radiosensitizer is added and the suspension is irradiated; next, single-cell gel electrophoresis is used to detect the degree of DNA damage in the test cells; finally, leukocytes and tumor cells are distinguished based on cell morphology using a fluorescence microscope or fluorescence scanner. This invention is the first to detect the number and type of circulating tumor cells (CTCs) in peripheral blood based on ionizing radiation and radiosensitization effects, according to the degree of DNA damage in tumor cells. Compared with existing technologies, this detection method and kit are not only simple and rapid, but also significantly improve detection sensitivity and specificity. Furthermore, it is independent of the physical properties of cells and tumor cell surface markers, requires a small sample volume, is highly versatile, and can detect CTCs in different types of solid tumors.