65results about How to "Aids in detection" patented technology

The invention relates to the field of curved planar reconstruction, in particular to a curved planar reconstruction method for cardiac scattered-point cloud data. The curved planar reconstruction method for cardiac scattered-point cloud data includes the steps of firstly, defining the data representation form of acquired point cloud data, establishing octree topological relation, and defining a space function; secondly, establishing a vector field, selecting local adjacent planes, and determining vertex normal vectors according to an average of planar normal vectors of the local adjacent planes; thirdly, uniformizing the vertex normal vectors; and fourthly, solving a Poisson equation, extracting a contour surface by MC (marching cubes) algorithm according to an indicator function and gradient thereof, and reconstructing a cardiac three-dimensional surface model. By the curved planar reconstruction method for cardiac scattered-point cloud data, cardiac spatial position relation can be displayed visually and accurately, optional display, zooming, rotation and cutting in three dimensions can be achieved, cardiac diseases can be detected, computer diagnostic analysis for diseases such as arrhythmia and surgical accurate simulation are achieved, and safety and reliability in disease diagnosis are improved.

The invention provides a remote sensing image small sample target detection method based on a prototype convolutional neural network. A target detection network mainly comprising a feature extraction and category prototype acquisition module, a prototype guidance RPN module, a redirection feature map module and a detector module is constructed, network model basic learning is performed on a base class data set containing a large number of labeled samples, then a network model is finely adjusted on a balanced sub-data set, and finally, post-processing operations such as non-maximum suppression and the like are performed to realize multi-class target detection of the small sample remote sensing image. According to the method, different types of targets can be rapidly and accurately detected from the optical remote sensing image with the complex background by using a small amount of new class annotation data, and the method has relatively high detection precision and relatively high detection speed.

The invention provides a hybrid variation bioelectrical impedance imaging method, relating to the measurement on the conductivity of the pleural cavity of the body. According to the method, the potential spatial distribution condition is simulated by adopting a finite element method, a numerical model of the bioelectrical impedance imaging technology is established, a numerical model with large size is dispersed into small units, certain boundary conditions are applied and boundary voltage is calculated, a two-dimensional thoracic cavity numerical model and a three-dimensional thoracic cavity numerical model are respectively established, after the objective function of the hybrid variation algorithm is determined, the inverse problem solving is carried out by adopting the steepest descent method, the electrical impedance image reconstruction of the thoracic cavity is carried out, so that the resolution ratio of the reconstructed image is improved, therefore, the problems in the existing bioelectrical impedance imaging technology, the influences of noises and errors exist during the process of reestablishing the image with high resolution ratio, consequently, the excessive smooth and staircase effect are caused, and the accurate electrical impedance reconstructed image of the lung can not be obtained are solved.

The invention discloses a multi-dimensional distance clustering anomaly detection method and system based on a time sequence, and belongs to the technical field of aviation safety. The multi-dimensional distance clustering anomaly detection method based on the time sequence comprises the following steps: step 1, preprocessing a trajectory data set, the preprocessing comprising cleaning and re-integration; 2, calculating the multi-dimensional similarity between the tracks; 3, for the multi-dimensional Hausdorff distance, constructing an inter-track similarity matrix; 4, carrying out a hierarchical clustering algorithm of the multi-dimensional hausdorff distance; selecting a hierarchical clustering algorithm in machine learning to perform hierarchical clustering based on the similarity matrix; and step 5, detecting the anomaly detection effect of the algorithm, constructing a track with anomalies in speed, direction, longitude and latitude, clustering the abnormal track with a normal track through the hierarchical clustering algorithm, and evaluating the clustering algorithm by selecting a correct rate, a precision rate, a recall rate and an F1 value.

The invention provides a method for improving the adhesion property of a polyacrylamide hydrogel, and resulting polyacrylamide hydrogel. The method comprises the following steps: (1) uniformly mixingdopamine grafted and modified hyaluronic acid or hyaluronate and a soluble tetraborate in deionized water to form a first crosslinked network; and (2) adding acrylamide and a crosslinking agent, thenadding an initiator and tetramethylethylenediamine under ice bath conditions, performing uniform mixing, and then polymerizing the obtained mixture at 0-4 DEG C to obtain the polyacrylamide hydrogel,wherein in step (1), the dopamine graft rate of the above modified product is 30-32%, and a mass ratio of the modified product to the tetraborate is 5:(2-1); and a mass ratio of the acrylamide added in step (2) to the modified product in the step (1) is (18-20):1, and the hyaluronate is a potassium salt or a sodium salt. The method greatly improves the adhesion property of the prepared polyacrylamide hydrogel.

The invention relates to a method for carrying out three-dimensional reconstruction on an intestinal canal by using VTK (Visualization Tool Kit). In the method, the three-dimensional reconstruction is directly carried out on the basis of VTK. The method comprises the following steps of: first, carrying out filtering and volume data segmentation on original human body CT scanning data including noise so as to obtain CT data of an intestinal canal tissue; interpolating the data in order to obtain a better reconstruction effect; interpolating the volume data by using a morphological method; and then designing an algorithm for high efficiently solving multiplanar reconstruction ambiguity according to MarchingCubes multiplanar reconstruction theory. During multiplanar reconstruction, color, scattered light and scattered light intensity are well set according to the characteristics of the intestinal canal. It is shown by experiment results that a three-dimensional intestinal canal can be realistically reconstructed at a higher reconstruction speed by using the three-dimensional intestinal canal reconstruction algorithm provided by the invention.

One aspect of the present invention is to assess the performance of automated analysis of blood oxygen saturation (SpO2) recordings as a screening tool for OSAHS. As an initial step, statistical, spectral and nonlinear features are estimated to compose an initial feature set. Then, a fast correlation-based filter (FCBF) is next applied to search for the optimum subset. Finally, the discriminationpower of three pattern recognition algorithms is assessed: linear discriminant analysis (LDA), quadratic discriminant analysis (QDA) and logistic regression (LR). According to another aspect of the invention, oximetry is used to determine the OSAHS severity in children. Single-channel Sp02 recordings from 176 children were divided into three severity groups according to the apnea- hypopnea index (AHI): AHI<1 events per hour (e / h), l<AliI<5 e / h, and Alii >= 5 e / h. For testing the severity of OSAHS, first spectral analysis is conducted to define and characterize a frequency band of interest in SpO2. Then the spectral data is combined with 3% oxygen desaturation index (ODI3) by means of a multi-layer perceptron (MLP) neural network, in order to classify children into one of the three OSAHS severity groups.

The invention discloses a genetic group for molecular subtyping of medulloblastoma. The genetic group is formed on one or more of 32 genes in total. The invention further discloses a kit for molecularsubtyping of medulloblastoma and use of the genetic group in the preparation of a reagent for molecular subtyping of medulloblastoma. Besides, the invention further provides use of an SNCA gene for diagnosis or as a diagnosis marker of 4-type medulloblastoma.

The present invention discloses a circuit for generating a random output value which comprises: a bistable circuit having two stable states in which a 0 or a 1 is output and having a balanced metastable state in which a floating value between 0 and 1 is output, said bistable circuit resolving from said metastable state to one of said stable states on being switched on, said state depending on a voltage level at a port on said bistable circuit; a voltage level control circuit for controlling a voltage level at said port on said bistable circuit; a time measuring circuit for measuring a switching time taken for said bistable circuit to switch from said metastable state to one of said stable states following switch on; and control logic for controlling said time measuring circuit, said voltage level control circuit and a switching off and on of said bistable circuit, said control logic being adapted to perform a following sequence: control said voltage level control circuit to set a predetermined voltage level at said port on said bistable circuit, switch said bistable circuit on, detect a measured switching time, and turn said bistable circuit off and if said measured switching timeis longer than a predetermined value, output said resolved stable state of said bistable circuit as said random output value.

When configuring a network system (10) in a user's residence, a patient to receive home healthcare assistance or other user receives an encoded configuration message. One type of configuration message includes a sequence of code words, each of which corresponds to one or more numerical digits, which the user receives via voice or text message on a mobile phone (28), as an email message, etc., and the user enters the codewords into a set top box (STB) (12). The user enters the codewords by selecting the codewords and / or images representing the codewords displayed on a GUI (18). The STB (12) uses a translation table (40, 42) to decode the codewords to determine the numerical sequences. The complete sequence represents a configuration information sequence, such as a user ID, an IP address, or the like, and is employed by the STB (12) to configure itself and / or other components in the network system (10). If the configuration message is received on a Bluetooth-capable cellular device, the configuration sequence is sent wirelessly to the STB (12).

The invention discloses a state monitoring and defect simulation system for the electrical insulation performance of an oil-immersed bushing, and the system comprises an oil pressure monitoring modulewhich is used for monitoring the pressure of insulating oil in the oil-immersed bushing; a vibration characteristic monitoring module which is used for monitoring the vibration frequency and amplitude of the oil-immersed sleeve in the operation process; a discharge characteristic monitoring module which is used for judging whether the oil-immersed bushing is in a normal operation state or not bytesting the magnitude of partial discharge pulse current at the end part of the oil-immersed bushing and a discharge spectrum; a discharge phenomenon observation module which is used for observing theposition of a discharge point in the oil-immersed bushing and recording a discharge process image and animation at the discharge moment; and a dielectric response test module which is used for evaluating the insulation condition of the insulation material or the insulation equipment by changing the frequency of the alternating current excitation, taking complex capacitance and dielectric loss asfunctions of the frequency and using the change condition of the functions. According to the invention, comprehensive monitoring and analysis of electrical and mechanical property characteristic parameters can be carried out on defects.

The invention discloses an eye-facing quick blood flow imaging optical coherence tomography (OCT) ophthalmoscope, which comprises a collimation light source, a beam splitting module, an interference system, a scanning device, a detector, and a collecting processor. The provided ophthalmoscope has been improved, on the basis of a conventional SLO ophthalmoscope, an interference system is added, a quick resonance type galvanometer and a slow galvanometer are combined to carry out scanning, vertical scanning is not needed to realize blood flow imaging, the pathological change of retina in a largefield range can be observed, and the comprehensive inspection and retina evaluation are promoted. Furthermore, the ophthalmoscope has the advantages of small volume, easy operation, and real-time image collection, and is easy to industrialize and popularize.

The invention discloses a method for extracting the shape of a laser additive manufacturing molten pool. The method comprises the following steps: performing graying processing on the input molten pool image to generate a gray level image; performing filtering processing on the grayscale image; performing binarization processing on each frame of filtered grayscale image to obtain a binarized image; when the input molten pool image is not coaxially acquired with the laser, identifying and removing reflection spots in the binarized image, extracting a molten pool image contour in the binarized image, and obtaining an external minimum rectangle of the molten pool image contour, the length and width of the external minimum rectangle being the length and width of the molten pool.

The invention discloses a complex-background image saliency detection method based on low-rank representation. A distance constraint among sparse subgraphs is added in a low-rank saliency model, gapsbetween a saliency target and background targets are increased, prior knowledge weights are fused in the sparse subgraphs, and thus saliency target information is enhanced in matrix decomposition. Themethod can improve discerning capability of the saliency target and the background targets, and can be used for image detection of large-area saliency targets and complex backgrounds.

The invention discloses a multifunctional test bench for a chip. The multifunctional test bench comprises a test bench and an extrusion plate, wherein a groove is formed in the middle of the upper surface of the top of the test bench; a detection plate is arranged in the groove; an insertion rod is arranged in the middle of the bottom surface of the test bench; a connection ring is arranged at thebottom end of the insertion rod; a connection block is mounted in the middle of the bottom surface of the extrusion plate; and limiting plates are arranged at positions, close to two sides, in the extrusion plate; and a detector is mounted on the rear surface of the extrusion plate. According to the multifunctional test bench for the chip, the chip can be limited through the limiting plates, so that the chip is prevented from being cracked by the extrusion plate due to a mechanical error; through springs and the insertion rod, the chip can be separated and taken out from the test bench; and the whole test bench is simple in structure, relatively practical and suitable for popularization.

The invention discloses a hydrogen production and hydrogen supplement system of a hydrogen cooling unit and a working method of the system, and belongs to a hydrogen production and hydrogen supplement system. The hydrogen production and hydrogen supplement system comprises a water tank, the water tank communicates with an ion purifier through a pipeline, the ion purifier communicates with a filter through a pipeline, and the filter communicates with a PEM water electrolyser through a pipeline; two electrodes of the PEM water electrolyser communicate with a first gas-liquid separator and a second gas-liquid separator through pipelines respectively, the first gas-liquid separator communicates with a first gas analyzer through a pipeline, the first gas analyzer communicates with a hydrogen tank through a pipeline, the hydrogen tank communicates with a first gas filter through a pipeline, and the first gas filter communicates with a first compressor through a pipeline; and the first compressor communicates with a drying tower I through a pipeline, and the drying tower I communicates with a low-pressure hydrogen storage tank and a high-pressure hydrogen cylinder group through pipelines. The system is scientific and reasonable in structure, automatic hydrogen supplementing is achieved, stable operation of the generator set can be guaranteed, hydrogen sealing is facilitated, and the safety of the system can be greatly improved.

The invention discloses an experimental device and method for measuring CO2 pipeline decompression wave propagation velocity. The experimental device comprises an experimental loop, wherein an inlet of the experimental loop is connected with a CO2 injection system, an outlet of the experimental loop is connected with a double-rupture-disk control device, a data acquisition system is installed on the experimental loop, and the CO2 fluid pressure and the temperature variation process along with the time in a pipeline are acquired by virtue of the data acquisition system under the instantaneous decompression working condition of the experimental loop. By adopting the experimental device and method, the decompression wave propagation velocity can be safely and accurately measured. The manual control on the CO2 pipeline decompression process can be realized, and the CO2 pipeline decompression wave at different states such as a supercritical state, a liquid state, a gas state and the like can be measured. By adopting the experimental device and method, the detection on the CO2 pipeline leakage and the safety control to the pipeline crack advance are facilitated.

The invention discloses a rain removal method based on an image restoration technology. The method comprises the following steps: constructing a coarse rain removal network composed of three feature extraction modules and a residual image prediction module; constructing an image fine restoration network composed of a threshold judgment module and an image restoration module; training the coarse rain removal network and the image fine restoration network based on the rain image database distribution, and combining the trained coarse rain removal network and image fine restoration network into arain removal model based on the image restoration technology; and processing the input image based on the rain removal model. According to the method, the utilization of the feature information of the residual image can be accurately and effectively realized, the rain removal precision can be obviously improved, and the actual scene application of the rain removal algorithm is further promoted.

The invention discloses a method for detecting relative expression levels of TBLR1-RAR alpha and PRKAR1A-RAR alpha fusion genes by using a fluorescent quantitative PCR technology. The method uses a primer and a probe with specificity. The method can be used for detecting expression levels of the fusion genes such as TBLR1-RAR alpha, PRKAR1A-RAR alpha and PRKAR1A-RAR alpha inside acute promyelocytic leukemia (APL) patients. The method can be used as one of evidences for selection and formulation of APL individual treatment schemes, and is significant for adjusting the treatment schemes, evaluating treatment effect, predicting prognosis and preventing clinical recurrence.

The invention provides a stool sample handling method and application thereof. The stool sample handling method comprises the following steps: placing a stool sample to be detected in a sealable container; adding a drying agent into the container; sealing the container to enable the drying agent to absorb moisture in both the stool sample and air. The stool sample handling method can effectively maintain the stability of detected ingredients in the stool sample, enables self-help sample extraction by patients at home to be possible, and does not hinder downstream detection (immunologic detection); as a stool and drying agent mixture can directly enter the detection process, the flexibility of follow-up stool sample handling process is greatly facilitated, and the method is conductive to detection and treatment of digestive system diseases.

The invention discloses a method, primers, probes and kit for detecting relative expression of an RBM5 gene, and all relates to the primers RBM5-F and RBM5-R and the probe RBM5-Probe for detecting theexpression level of the RBM5 gene, and the primers Actin-F, Actin-R and probe Actin-Probe for detecting reference gene Actin. The primers and probes provided by the invention have good specificity, high sensitivity and easy operation after tests; and the method, primers, probes and kit provided by the invention can quickly detect the amount of the RBM5 gene and the expression in a sample, and canassist in formulating individualized treatment plans and disease prognosis judgment for lung cancer patients.

The invention relates to a thermal desorption treatment process and a remediation device for organic contaminated soil. The process comprises the steps of collecting the contaminated soil, pretreating the soil to be treated, performing thermal desorption treatment on the pretreated soil, separating the thermal desorption soil from waste gas, recycling heat of the waste gas, detecting the thermal desorption soil and the like. The repairing device comprises an air extracting device, a pretreatment device, a thermal desorption rotary kiln and an incineration device, wherein the air extracting device and the pretreatment device are both connected with the thermal desorption rotary kiln, the thermal desorption rotary kiln is connected with a batch conveying assembly, a heat exchange piece used for recovering gas heat is connected between the thermal desorption rotary kiln and the incineration device, and the incineration device is connected with a purification piece used for purifying gas. According to the technology, heat of exhausted gas can be recycled and used for preheating and pretreating soil, energy is saved, and the technology is more environmentally friendly; and according to the device, qualified thermal desorption soil subjected to repeated treatment can be reduced, heat is recovered, and secondary pollution is reduced.

The invention relates to an automatic coal density testing system which comprises a sampler, a metering unit, a water replenishing unit and a discharge unit, wherein the sampler and the water replenishing unit are arranged beside the metering unit and are respectively used for feeding a coal sample and replenishing water into the metering unit; the discharge unit is arranged on one side of the metering unit and is used for discharging the coal sample and the water in the metering unit. Due to adoption of the sampler, the metering unit, the water replenishing unit and the discharge unit of theautomatic coal density testing system, automatic measurement on the density of the coal sample is achieved, problems that a conventional automatic coal density testing system is difficult in sampling,tedious in measurement, high in cost, large in labor and time consumption, low in measurement precision, and the like, are solved, a measurement system which is low in cost and convenient and precisein measurement is provided for large coal use companies such as heat-engine plants and heat supply companies, the companies can handle real-time density of fuel coal conveniently, and coal quality can be conveniently controlled and detected.

A solid waste identification data set construction system based on a convolutional neural network comprises a data set acquisition module which is used for acquiring a solid waste image set including color information and spatial information, acquiring a solid waste image set including height information, and performing synchronous matching processing on the two types of image sets, thereby obtaining a solid waste image set including color information, spatial information and height information; and the data set labeling module is used for generating a data set required by solid waste identification. Through the data set acquisition module and the data set labeling module, the waste recognition data set can be quickly and effectively constructed and expanded, so that training of the convolutional neural network model is facilitated, and the accuracy of solid waste recognition is further improved.

The invention relates to the technical field of coatings, in particular to a water-based two-component highlight white finish paint as well as a preparation method and an application method thereof. Hydroxyl acrylic acid dispersoid and polyester polyol secondary dispersoid are taken as main raw materials of the finish paint and react with a curing agent, so that the hardness, glossiness and fullness of a paint film coated on the surface of a plate can be improved; by adopting a low-speed stirring preparation method, the generation of bubbles in an emulsion system can be reduced, and the stability of the main paint coating is improved, so that the adhesive force of a coating film is improved; and the water-based two-component highlight white finish paint has the characteristic of low VOC emission, meets the environmental protection requirements and does not influence the health of human bodies.

The invention discloses a biomarker for detecting high altitude hypoxia and an application thereof. The biomarker for detecting the high altitude hypoxia is N-acetylneuraminic acid or a specific antibody thereof and used for preparing diagnostic reagent or a kit for detecting the high altitude hypoxia. The method of determining the degree of the high altitude hypoxia by detecting a serum marker helps to detect or assist in detecting hypoxia so as to help to take appropriate treatment measures as soon as possible, and is easy and fast in operation, easy for patients to accept, and convenient for the dynamical monitor of the progress of hypoxic injury in high altitude population.

The invention provides a construction method of a soybean seed protein expression profile and an application of the soybean seed protein expression profile to analysis of biological metabolism ways, and belongs to the technical field of protein expression profile construction technologies. According to the construction method, soybean protein electrophoresis films are obtained by adoption of an SDS-PAGE technology; the soybean protein electrophoresis films are graded; and trypsin enzymolysis and liquid chromatography and mass spectrum combination (LC-MS) are respectively carried out on gradedproteins to authenticate the varieties and contents of the soybean proteins. The soybean proteins are graded and authenticated according to electrophoresis, so that benefit is brought to detect low-content proteins and low-richness proteins are prevented from being covered by high-richness proteins, thereby obtaining more proteins. Through grading and authenticating the soybean proteins, functional features of the soybean proteins are found from the angle of bioinformatics, and protein classification and database construction are carried out to provide technical and data support for soybean protein-related researches.

This application relates to a thermal desorption treatment process and repair device for organic polluted soil. The process of this application includes collecting polluted soil, pretreatment of the soil to be treated, thermal desorption of the pretreated soil, thermal desorption of soil and waste gas Steps such as separating and recovering the heat of exhaust gas and detecting thermally desorbed soil; the restoration device of the present application includes air extraction device, pretreatment device, thermal desorption rotary kiln and incineration device, and the air extraction device and pretreatment device are all connected with heat The desorption rotary kiln is connected, the thermal desorption rotary kiln is connected with a batch conveying assembly, the thermal desorption rotary kiln and the incineration device are connected with a heat exchange element for recovering gas heat, and the incineration device is connected with a Purification parts for purifying gases. The process of the present application can recover the heat of the discharged gas and use it to preheat the pretreated soil, saving energy and being more environmentally friendly; the device of the present application can reduce repeated treatment of qualified thermal desorption soil, recover heat, and reduce secondary pollution.