32 results about "Slice sampling" patented technology

The invention discloses a method for predicting the remaining service life of complex equipment based on a combined depth neural network. The main steps are as follows: acquiring multi-sensor data ofcomplex equipment; Obtaining effective measurement data by feature selection; obtaining A plurality of slice samples by preprocessing; Establishing the neural network regression model which combines the attention mechanism and depth neural network; The slice samples and their corresponding labels are inputted into the neural network regression model to train the neural network regression model offline. inputting The slice samples of multi-sensor data to be predicted into the trained neural network regression model, and the remaining service life of complex equipment is obtained. Considering the data characteristics of the multi-sensor signal, the invention fully excavates the local characteristics and the time sequence information in the data, has high prediction accuracy and wide applicability, and can be widely applied to various pieces of complex equipment.

The invention discloses an engine fault prediction method. The method comprises the following steps that effective measurement data of a plurality of sensors of an engine are obtained; the effective measurement data are subjected to normalization processing; the effective measurement data obtained after normalization processing are sliced, and a plurality of slice samples are formed; the multiple slice samples are sent into a deep nerve network to be subjected to feature extraction, and after feature extraction, the slice samples are connected to a fully-connected network; and according to output of the fully-connected network, classification is conducted through a softmax classifier, and the left service life of the engine is determined. According to the provided engine fault prediction method, the process is small, operation is easy, and the engine fault prediction method can be widely applied to various engines of aircraft.

Mapping of myelin water content in white matter may provide important information for early diagnosis of multiple sclerosis and the detection of white matter abnormality in other diseases. It is disclosed here that free induction decay (FID) of each voxel at multiple slice locations is acquired in the brain using an echo-planar spectroscopic imaging (EPSI) pulse sequence. The multi-slice EPSI acquisition is designed to have a short first echo time (˜2 ms) and echo-spacing (˜1 ms) in order to acquire multiple sampling points during the fast decay of the myelin water signal. Multi-compartment analysis is then applied to the FID in each pixel using a 3-pool model of white matter to obtain quantitative maps of the myelin water fraction. Using this technique, the MR data for whole brain mapping of the myelin water can be acquired in less than 10 minutes, making this technique feasible for routine clinical applications.

The invention discloses a health condition monitoring method of complex equipment based on an attention mechanism and a neural network. The main steps comprise acquiring tge multi-sensor data of complex equipment; obtaining the effective measurement data by feature selection; obtaining a plurality of slice samples by preprocessing; establishing the neural network classification model which combines the attention mechanism and the depth neural network; inputting the slice samples and their corresponding labels into the neural network classification model to train the neural network classification model offline; inputting the slice samples of multi-sensor data to be predicted into the trained neural network classification model to obtain the health status of complex equipment. The method considers the data characteristics of the multi-sensor signal, fully excavates the local characteristics and the time sequence information in the data, has high prediction accuracy and wide applicability, and can be widely applied to various complex equipment.

A method for evaluation of cable aging degradation based on slice sampling is revealed. An insulation layer of a cable is aged or degraded from the outside in under influence of high temperature, liquid immersion, radiation exposure, or other factors. The present invention gets slices as samples of the cable by cutting from the outside in. Then related tests including dielectric withstand test, insulation resistance measurement, elongation test, etc. are carried out. Besides the state of cable aging degradation being of the slice being found out, different positions in the insulation layer such as an outer layer, a middle layer and an inner layer can also be evaluated.

The invention discloses a real-time human face attitude estimation method based on depth video streaming. The real-time human face attitude estimation method comprises two stages of sampling and training and estimating in real time. The sampling and training stage comprises the following steps of obtaining filed depth images of all human face angles; then conducting random sampling on the filed depth images of all angles and obtaining a training sample set; and using a supervised learning method to conduct training, and obtaining a classifier. The real-time estimation stage comprises the following steps of firstly extracting real-time human face filed depth images in the depth video streaming output by collection equipment and converting the real-time human face filed depth images into integral images; conducting random slice sampling on the integral images, utilizing the classifier obtained by training to conduct classification on samples, and obtaining a plurality of estimation results; and removing abnormal results for the results and conducting weighted average, and obtaining final human face attitude results. The real-time human face attitude estimation method based on the depth video streaming avoids influences of factors like illumination on the final results, and is good in instantaneity and precision.

The invention discloses an apparatus and method for detecting objects in a three-dimensional volumetric image. The apparatus includes a slice sampling unit which is configured to sample the three-dimensional volumetric image so as to obtain a plurality of two-dimensional images, a detection unit which is configured to detect two-dimensional regions of interest from each two-dimensional image in the plurality of two-dimensional images which are obtained by the slice sampling unit through sampling, a combination unit which is configured to combine three-dimensional regions of interest through utilizing the two-dimensional regions of interest which are detected by the detection unit, and a segmentation unit which is configured to perform three-dimensional segmentation on the three-dimensional regions of interest so as to extract targeted objects.

The invention provides an electroplating quality detection module, a printed circuit board motherboard and an electroplating quality detection method, wherein the electroplating quality detection module is located on the edge of the printed circuit board motherboard, including : detection hole, metal plating is attached on the hole wall of the detection hole, and the aperture of the detection hole gradually decreases from top to bottom, so that the detection hole is in the shape of a circular platform with a large top and a small bottom, so that the detection hole can pass through the The metal coating on the hole wall is inspected for electroplating quality. Through this technical solution, the electroplating quality of the printed circuit board can be directly judged by detecting the detection hole, and whether there is no copper in the hole can be quickly and accurately judged, which reduces the quality risk of the product and improves the efficiency of electroplating quality inspection , to avoid product scrapping caused by destructive slice sampling, and to reduce production costs.

The invention discloses a high-resolution tomography optical microscopic imaging device for tissue samples. The high-resolution tomography optical microscopic imaging device based on mechanical cutting can cut the tissue samples into thin slices and simultaneously carry out microscopic optical imaging for the thin slices. The device comprises a tissue sample cutting module and an optical microscopic imaging system. A cutting tool of the device is subjected to opacity treatment. The high-resolution tomography optical microscopic imaging device has the advantages that the slices are physically separated from remaining tissue samples in a cutting procedure while tomography images are acquired, illumination light or excitation light of the optical microscopic system cannot be transmitted through the thin slices and the cutting tool to illuminate or excite the remaining tissue samples below the cutting tool owing to the opacity treatment for the cutting tool, and accordingly interference of the tissue samples which are not cut currently on sampling for the slices is eliminated. The high-resolution tomography optical microscopic imaging device can be used for quick high-resolution tomography microscopic imaging for tissue samples.

The invention belongs to the technical field of power distribution network operation control, and particularly relates to a power distribution network voltage stability probability evaluation method based on large-scale wind power and electric automobile grid connection. The method comprises the following steps: (1), inputting relevant data such as actually measured data and the like of a wind power plant; (2), building a probability model of an electric automobile charge load and a probability model of a wind power plant output; (3) sampling the probability models of the electric automobile charging load and the wind power plant output in the step (2) by adopting a slice sampling algorithm, and constructing sample spaces of input random variables; (4) calculating corresponding values in the sample spaces of the input random variables at the moment t by adopting a continuous power flow algorithm to obtain output random variables of a system voltage stability margin at the moment; and (5) obtaining probability distribution characteristics of the output random variables according to a probability statistics method. The method has the effects that the accuracy and effectiveness of voltage stability probability evaluation are greatly improved from the perspective of the sampling algorithm.

The invention discloses a seismic signal regularization processing method based on slice sampling. The method is applied to the field of seismic exploration, and for the problem of surface missing inVSP data, a Low-tubal-rank and Sparse Sensor Complementation (LRSTC) algorithm is provided to complete signal regularization processing; an LRSTC model is solved by using an enhanced Lagrange method;through experimental simulation and analysis on synthetic seismic data and actual seismic data, the excellent performance of the LRSTC is verified.

The invention discloses a preparation method of a printed circuit board failure region sample. The method comprises the following steps of slice sampling: through electric performance test, determining a sampling region of a printed circuit board sample, making a mark, and cutting the sample in the required slice dimension; uniformly mixing epoxy resin glue liquid, a curing agent and a catalyst; then, pouring the mixture into a special metallographic slice mold in which the slice sample is placed; performing still standing curing; after the curing completion, taking out the sample to be ground and polished from the mold; grinding and polishing: monitoring the distance from the surface of a region to be tested and the surface of the sample to be ground and polished, wherein the distance height is the grinding thickness; stopping grinding after the grinding is performed to the preset thickness; polishing; obtaining the printed circuit board failure region sample. The preparation method has the advantages that a slice sampler with high automation degree is used for precise sampling; the detecting efficiency and the accuracy and reliability of the detecting result are improved.

The invention discloses a lateral erosion, crack and cavity measurement slice manufacturing method. A current fuzzy measurement slice graph boundary problem is effectively solved. The method comprisesthe following steps of (1) slice sampling; (2) rough grinding; (3) polyester resin filling and fine grinding; and (4) metallographic microscope measurement, and also comprises the step of defect areacolor filling after the step (1) or the step (2), wherein the step of defect area color filling includes the following step of coating a defect area with a filler color to distinguish from other material colors so as to enhance a slice defect contrast ratio; and the other material colors include substrate, copper, and solder resist colors, and a surface processing color.

The invention provides a biological microscope structure for plant quarantine, which comprises a top fence and a supporting pipe; the back end face of a main body handle frame is equipped with a square structured connecting base, one side face of the connecting base is equipped with a metal corrugated connecting pipe; the other end of the metal corrugated connecting pipe is equipped with a circular plate shaped slice operation platform; the side face of the connecting base is connected with a spray pipe in a penetrating manner through a matched rotating head, and the side face of the slice operation platform is provided with a first placing slot and a second placing slot from outside to inside; the outer wall at the top side of the main body handle frame is connected with a circular sliceoperation platform by the metal corrugated connecting pipe, and the side face of the slice operation platform is provided with two sample culture glass carriers for mounting cutters and quarantining,thus the original operation mode of performing slice sampling on a workbench is replaced, the space is saved, and the operation space of the original operation platform is saved.

A method for evaluation of cable aging degradation based on slice sampling is revealed. An insulation layer of a cable is aged or degraded from the outside in under influence of high temperature, liquid immersion, radiation exposure, or other factors. The present invention gets slices as samples of the cable by cutting from the outside in. Then related tests including dielectric withstand test, insulation resistance measurement, elongation test, etc. are carried out. Besides the state of cable aging degradation being of the slice being found out, different positions in the insulation layer such as an outer layer, a middle layer and an inner layer can also be evaluated.

The invention discloses a slice sampling method used for determining a recycled concrete carbonization zone microstructure. The method includes the following steps: (1) molding a recycled concrete test piece, and performing one-dimensional carbonization after demolding and maintenance; (2) performing vertically slicing from an intersection point of a front carbonized surface and an upper non-carbonized surface to the center of the test piece at intervals along the one-dimensional carbonization direction of the test piece so that test piece slices with different carbonization depth can be obtained; and (3) performing sampling, knocking out new and old mortar particles in each test piece slice, and performing carbonized zone microscopic test after performing further crushing and vacuum drying. The method can control slice intervals according to actual carbonization depth, so that new and old hardened cement slurry samples of recycled concrete in different carbonization depth sections canbe obtained; and the method can separately analyze the carbonization depth, the division of carbonization areas and microstructure of the new and old mortar in the recycled concrete, and therefore, reference can be provided for accurate carbonation life prediction of the recycled concrete and other sampling methods for durability studies.

The invention relates to a general anesthesia invasive systolic pressure prediction method and system based on machine learning fusion. The method comprises the following steps: S1, collecting the body feature data and vital sign data of a patient, carrying out the preprocessing of all data, and dividing the preprocessed data into a training set, a test set and a verification set; respectively performing slice sampling on the training set, the test set and the verification set to collect n training subsets, test subsets and verification subsets; s2, constructing a prediction model based on machine learning fusion, and predicting the general anesthesia invasive systolic pressure by using the prediction model; the prediction model comprises n primary learners and a secondary learner, and the output values of all the primary learners are used as the input of the secondary learner. The system comprises a database module, a data collection module, a prediction module and an interaction module. A prediction program is stored in the prediction module. According to the method, the defect of low prediction precision of a single algorithm is overcome, the input of the secondary learner is optimized, and the prediction precision is further improved.

The invention discloses a carton quality inspection and detection method comprising the steps of carton printing, patch prefabricating, carton sampling, shape detection, slice cutting, gap filling, slice shape and position test, slice performance test and data processing. Slice marking lines are printed on all cartons, cartons are selected through sampling, and slice sampling is carried out at the marking lines. The quality, thickness, compressive strength and impact strength of slices are tested, and the quality and performance of all the cartons are judged through data processing. The quality of cartons is measured and detected in a simple and practical method. By adopting the method, the quality of cartons can still be effectively inspected and controlled under the condition that there is neither bursting strength test equipment nor drop test equipment in the factory.

The invention discloses a resolution power test method and system based on ISO12233. The test method comprises the steps of obtaining Raw format sample images of ISO12233 test images; selecting or inputting test block coordinates from the Raw format sample images, determining test blocks, and extracting two-dimensional image data in a coordinate range as image data in the test blocks; carrying outseparation recombination on image data channels in the test blocks and carrying out slicing sampling on the recombined image data channels; and calculating and judging whether all sample slices passor not. According to the method and the system, the rapid and batch test can be carried out on resolution power of camera modules.

The invention discloses an electric power grid ultra-high voltage electric transmission and distribution line composite insulator slicing sampling apparatus, which comprises a cutter blade installation seat (9) and a cutter blade (10), wherein the cutter blade (10) is fixedly arranged on the cutter blade installation seat (9). The electric power grid ultra-high voltage electric transmission and distribution line composite insulator slicing sampling apparatus is characterized by comprising a racket (1), a clamping pincers (2), a motor (4), a drive belt (5), a cutter blade moving screw rod drive nut (6), a cutter blade moving screw rod (7) and a rotation connection block (8). According to the present invention, the operation of the whole sampling process of the apparatus is convenient, and the automatic cutting is achieved through the matching of various devices of the whole apparatus; the whole apparatus has the simple structure, the whole slicing process can be completed at the high-altitude, and the condition that the composite insulator is disassembled from the line, is conveyed to the ground and then is cut and sampled is not required; the charged work can be directly performed; the structure of the whole set of the apparatus is simple, and the weight is light; and different sampling requirements can be met, and the sheets with different thicknesses can be cut.

The invention discloses an apparatus and method for detecting objects in a three-dimensional volumetric image. The apparatus includes a slice sampling unit which is configured to sample the three-dimensional volumetric image so as to obtain a plurality of two-dimensional images, a detection unit which is configured to detect two-dimensional regions of interest from each two-dimensional image in the plurality of two-dimensional images which are obtained by the slice sampling unit through sampling, a combination unit which is configured to combine three-dimensional regions of interest through utilizing the two-dimensional regions of interest which are detected by the detection unit, and a segmentation unit which is configured to perform three-dimensional segmentation on the three-dimensional regions of interest so as to extract targeted objects.

The invention relates to a seed locating device. The locating device comprises a push mechanism and a clamping mechanism, wherein the push mechanism is arranged to be used for pushing seeds to a preset slice sampling station along a first moving direction and extending out of the slice sampling station by a preset thickness; the first moving direction is a linear moving direction perpendicular tothe edge of the slice sampling station in a plane on which the slice sampling station is positioned; and the clamping mechanism is arranged to be used for clamping the seeds pushed onto the slice sampling station by the push mechanism from the upper side. The invention further relates to automatic seed slice sampling equipment. In addition to the seed locating device, the automatic seed slice sampling equipment further comprises a sample collection device and a seed collection device.

The invention discloses a spring-type brain slice sampler and a sampling method thereof. The sampler comprises a glass suction head, a curved tube and a controllable piston component. The circular end of the curved tube is connected to the controllable piston component through a connecting head. , the other end of the curved tube is connected with the glass suction head; the controllable piston part includes a top, a connecting rod and a piston body, the upper end of the piston body is movably connected with the top of the piston through a connecting rod, and a spring is arranged in the piston body. One end of the spring is movably connected with the piston connecting rod through the movable panel, and the other end of the spring is fixed on the fixed panel at the lower end of the piston body. The sampling method is to put the suction head close to the brain slice and press the top of the piston lightly, and then slowly release it to suck the brain slice. The invention provides a brain slice sampler with compact structure, simple operation, stable and reliable structure for relevant professional scientific research experiments, improves the efficiency of brain slice transfer and minimizes damage to the brain slice for researchers in neuroelectrophysiology experiments, and improves the the survival rate of brain slices.

The invention discloses an automatic laser slicing sampler structure device for crop breeding and aims at providing a novel automatic laser slicing sampler for crop breeding. During crop breeding cutting, since the shapes and outline dimensions of grains are quite different, automatic cutting sampling is hard to achieve through a common method at present, a manual removal method is usually adopted, efficiency is low, and the accuracy rate is low. The double-layer rotating disc type automatic laser slicing sampler equipment for breeding provided by the invention comprises an automatic feeding mechanism, a single-grain separation mechanism, a grain orientation mechanism, a grain cutting positioning mechanism, an automatic cutting mechanism, a sample separation mechanism and a sample marking and storing mechanism. Machine vision recognition is adopted for assisting the double-layer rotating disc positioning mechanism, laser is used for conducting automatic slicing sampling on seeds of crops such as corns, and therefore the problem that automatic slicing sampling of crop seeds cannot be achieved since the crop seeds are highly different in shape and the like can be solved to a certain degree. The automatic equipment is provided for slicing sampling for crop breeding.

The invention provides a high-throughput device and method for obtaining micro-tissue blocks, and relates to the technical field of slice sampling. It includes a sample table, sampling needles distributed in an array, a flexible assembly that drives the sampling needles to advance or retract, and a three-dimensional translation platform; the flexible assembly includes a cylinder and a positioning part, and the positioning part is used to limit the rotation of the piston rod of the cylinder. The sampling needles are distributed in an array, and high-throughput sampling can be completed in a single pass; the flexible component drives the sampling needles to move forward flexibly for sampling, which can well adjust the force between the sampling needles and the tissue; the positioning part is in the sampling process. During the process, it is ensured that the sampling needle does not rotate with the cylinder piston rod, so as to avoid the relative position deflection between the sampling needle array and the sample, which can not only ensure the success of repeated sampling of similar samples, but also achieve the purpose of protecting the sampling needle.

The present invention relates to a seed positioning device, which comprises: a pushing mechanism configured to push seeds to a predetermined slice sampling station along a first moving direction and extend out of the slice sampling station A predetermined thickness, wherein the first movement direction is a linear movement direction perpendicular to the edge of the slice sampling station in the plane where the slice sampling station is located; and a clamping mechanism, the clamping mechanism is set It is used for clamping the seeds pushed to the section sampling station by the pushing mechanism from above. The present invention also relates to an automatic seed slicing and sampling device, which includes a sample collection device and a seed collection device in addition to the above seed positioning device.

The invention discloses a real-time human face attitude estimation method based on depth video streaming. The real-time human face attitude estimation method comprises two stages of sampling and training and estimating in real time. The sampling and training stage comprises the following steps of obtaining filed depth images of all human face angles; then conducting random sampling on the filed depth images of all angles and obtaining a training sample set; and using a supervised learning method to conduct training, and obtaining a classifier. The real-time estimation stage comprises the following steps of firstly extracting real-time human face filed depth images in the depth video streaming output by collection equipment and converting the real-time human face filed depth images into integral images; conducting random slice sampling on the integral images, utilizing the classifier obtained by training to conduct classification on samples, and obtaining a plurality of estimation results; and removing abnormal results for the results and conducting weighted average, and obtaining final human face attitude results. The real-time human face attitude estimation method based on the depth video streaming avoids influences of factors like illumination on the final results, and is good in instantaneity and precision.

The invention relates to a microfluid observation experiment device and a working method thereof, the microfluid observation experiment device comprises a chip position and image acquisition devices.The chip position is used for placing a rock slice test model, and image acquisition devices are arranged around the chip position and right above the chip position; and the image acquisition device is suitable for shooting the distribution and flow conditions of multi-phase fluid in the rock slice test model. Corresponding test channels are formed by embedding corresponding rock-core-imitated slice samples which are arranged in sequence; the rock-core-imitated slice samples can be correspondingly sorted according to the density degree of the microscopic pore channels in the rock-core-imitatedslice samples to realize different test manners and further meet tests for various types of core slices; distribution and flow conditions of multiphase fluid in the corresponding microcosmic channelsin the rock-core-imitated slice samples are clearly shot by the image acquisition devices arranged in different directions, so that data analysis is carried out on the rock-core-imitated slice samples.

The invention provides a device and a method for obtaining micro tissue blocks at high throughput, and relates to the technical field of slice sampling. The device comprises a sample table, sampling needles distributed in an array, a flexible assembly for driving the sampling needles to advance or retract, and a three-dimensional translation table. The flexible assembly comprises an air cylinder and a positioning part used for limiting rotation of a piston rod of the air cylinder. The sampling needles are distributed in an array manner, and high-flux sampling can be completed at a time. The flexible assembly drives the sampling needle to flexibly advance for sampling, so that the acting force between the sampling needle and the tissue can be well adjusted. The positioning part ensures thatthe sampling needle does not rotate along with the piston rod of the air cylinder in the whole sampling process, so that the relative position between the sampling needle array and the sample is prevented from deflecting, the success of repeated sampling of similar samples can be ensured, and the purpose of protecting the sampling needle can be achieved.