13results about How to "Improve application level" patented technology

The invention relates to the technical field of medical treatment, and discloses an intelligent gait analysis auxiliary diagnosis system for knee joint functions. Comprising a data acquisition module, a 3D human body posture modeling module, a gait feature extraction module, a gait feature measurement and analysis module, a deep learning analysis and diagnosis module, an interpretive model and user interaction module, a system integration module and a data management and storage module. The data acquisition module acquires human body gait video data through a multi-view camera system. A non-contact multi-view camera shooting technology and an artificial intelligence algorithm are adopted, the dependence on expensive equipment and professional operation is reduced, the deployment and maintenance cost of the system is reduced, medical services related to gait analysis can be carried out in medium and small hospitals, the step of pasting mark points on patients is omitted through a non-contact data acquisition mode, and the medical service efficiency is improved. The operation process is simplified, the dependence on professional medical staff is reduced, and the working efficiency is improved.

The present invention discloses an experimental device and method for induced polarization of a nanopore array simulating rock and soil pore structure, and relates to the technical field of electrical prospecting experiments. It comprises an experimental container, wherein a cavity is arranged in the experimental container, power supply electrodes are arranged at both ends of the cavity, a solid nanoplate is arranged in the middle of the cavity, and the space between the power supply electrode and the solid nanoplate is used to accommodate an electrolyte solution; a plurality of nanopores are arranged on the solid nanoplate, and the power supply electrode is used to apply a direct current electric field to the electrolyte solution, so that the ions in the electrolyte solution move in a directional manner from the nanopores to produce a polarization effect. The present invention studies the induced polarization effect in solid nanopores through experiments, reveals its microscopic mechanism, establishes a quantitative model, and explores the main factors and response laws that affect the induced polarization effect.

The invention belongs to the technical field of synchrotron radiation technology and laser welding, and discloses a myriawatt laser welding in-situ observation device based on high-energy synchrotron radiation technology, which comprises a laser connected with an incident optical fiber and used for generating laser; and the base comprises a horizontal displacement mechanism, a lifting table and a clamping mechanism, and the clamping mechanism is used for fixing a sample piece to be welded. A relatively closed space is created through the reaction cover, and smoke dust generated by laser welding is pumped away from the top through the dust removal equipment so as to meet the requirement for protecting the in-situ environment; the reaction cover is provided with the high-energy X-ray observation window, the dynamic evolution process of a molten pool and a small hole in the welding process can be recorded in real time through the high-energy X-ray observation system while laser welding is conducted, and therefore the myriawatt-level laser welding molten pool and the small hole can be observed more accurately.

The invention discloses a road three-dimensional modeling vehicle-mounted auxiliary device based on RGB image information, and particularly relates to the technical field of three-dimensional modeling, the vehicle-mounted auxiliary device comprises an energy supply device, a storage device, a photographing device and an image acquisition processing device, the photographing device completes road image data acquisition, and the image acquisition processing device processes the road image data. A main control chip arranged in an image acquisition and processing device is used for controlling logic and constructing an algorithm, and based on computer vision and machine vision, a mapping relation between a two-dimensional image and a three-dimensional target is established and three-dimensional geometric information is recovered; a least square algorithm in a computer vision library OpenCV is adopted to minimize the difference between a point, projected to a two-dimensional image plane through a camera model, of a three-dimensional point and a corresponding point in an actual image, a target function of the sum of re-projection errors of all observed feature points is constructed, and then an optimal solution is found through the algorithm; and initializing the main control chip and preprocessing the original image by using the algorithm built in the main control chip.

The present invention relates to a method for identifying electromagnetic interference echoes of weather radars based on target detection, comprising: obtaining radar base data to be identified and generating radar echo images to be identified; inputting the radar echo images to be identified into a preset target detection model to identify electromagnetic interference echoes of weather radars; wherein the target detection model is obtained by training an improved YOLOv8 model with a pre-constructed data set, and the data set includes: an electromagnetic interference echo image of a weather radar and annotated data. The technical solution provided by the present invention improves the data quality of weather radars and can be applied to the data processing of weather radars in existing business operations.

The invention discloses a taste pathway calculation model optimization method based on a human body taste neural pathway, which comprises the following steps: S1, optimization of a taste pathway calculation model: comparing existing taste pathways according to inquired related information of a human taste pathway, and completing optimization of the taste pathway, a taste model topological structure and a support equation of the model; s2, verifying the performance of the optimized model: verifying some characteristics of the original model, improving the dynamic performance and calculating and verifying some new parameters capable of explaining the bionic property of the model; and S3, preparing a test sample and collecting taste data. According to the method provided by the invention, an existing taste pathway calculation model is effectively improved, auxiliary evaluation of artificial taste is realized, reliable technical support is provided, and the method is used for improving the application level of the taste recognition field and the food field.

The invention discloses a rape cadmium enrichment related gene and application thereof, and belongs to the technical field of gene engineering and the field of heavy metal soil pollution remediation. According to the invention, on the basis of a CRISPR / Cas9 gene editing technology, a plurality of pairs of sgRNAs are utilized to edit two homologous copies BnABCG36.C06 and BnABCG36.A07 of a BnPDR8 / BnABCG36 gene in a receptor rape, so that a mutant rape strain with the BnPDR8 / BnABCG36 gene mutation is obtained. The stem part of the mutant rape is enriched with more cadmium under cadmium stress, and the heavy metal cadmium transport coefficient of the mutant rape is obviously higher than that of a wild type, so that the rape can be used as a good soil heavy metal pollution phytoremediation material, has good phytoremediation application potential, and has good application prospects. An effective strategy is provided for improving the plant heavy metal pollution remediation efficiency and the application level.

The invention provides a radar jigsaw data abnormal echo recognition method and system based on semantic segmentation, and relates to the technical field of radar jigsaw data quality control, and the method comprises the following steps: constructing a radar jigsaw image data set based on a radar combined reflectivity image; marking abnormal echo images in the radar jigsaw image data set, and constructing a radar jigsaw abnormal echo training data set; introducing a middle-level feature extraction layer and a simple attention module into the semantic segmentation network to obtain an improved semantic segmentation network; based on the improved semantic segmentation network, constructing a radar puzzle data abnormal echo recognition model; and training a radar puzzle data abnormal echo recognition model based on the radar puzzle abnormal echo training data set, and performing abnormal echo recognition on the to-be-recognized radar puzzle data to obtain an abnormal echo recognition result. According to the technical scheme, technical support is provided for further improving the data quality and the application level of the radar jigsaw data.

The present invention relates to the field of food safety artificial intelligence detection, and more specifically, to a pixel-level detection method for aflatoxin based on multiverse optimization. The present invention provides a pixel-level detection method for aflatoxin based on multiverse optimization, including: a data acquisition and processing step: obtaining the first historical spectral data of the sample grain and performing data preprocessing to obtain the second historical spectral data; a model construction and optimization step: constructing a CNN-BiLSTM model, optimizing the CNN-BiLSTM model based on the multiverse algorithm, and training the optimized CNN-BiLSTM model through the second historical spectral data to obtain an MVO-CNN-BiLSTM model; fine-tuning the MVO-CNN-BiLSTM model to obtain an aflatoxin pixel-level detection model; an aflatoxin detection step: inputting the spectral data to be tested into the aflatoxin pixel-level detection model to obtain the aflatoxin pixel-level detection result.

The present invention relates to the field of organic electroluminescent technology. The present invention provides an operation detection method and system for an organic electroluminescent device, which aims to solve the problem that the prior art cannot accurately detect the operating performance of the device under different states. By acquiring device configuration information and detection tasks, the device operating status is detected in real time, historical data is collected and a deep learning model is trained, and an operation model group corresponding to the device status is established. A time period detection strategy is adopted, the best model is matched to process data, the detection task is output, and the scheduling instructions are optimized. If the error of the detection result exceeds the range, the scheduling model is optimized and the fault is warned. The present invention improves the detection accuracy, enhances the fault warning capability, prolongs the service life of the device, and improves the user experience, providing effective support for the operation and maintenance of organic electroluminescent devices.

The invention provides a system and a method for testing thermosetting and shearing characteristics of a non-displacement pile contact interface. The system for testing the thermosetting and shearing characteristics comprises a filter pressing and shearing container, a pressurized grouting and constant pressure device, a pressurization and temperature control device and a shearing loading device. The filter pressing and shearing container comprises a left container main body and a right container main body, and the left container main body and the right container main body are in left-right butt joint and are in sealed connection through a connecting belt to form a filter pressing and shearing cavity; the pressurized grouting and constant pressure device comprises a slurry storage container and a pressure conveyor, and the slurry storage container is communicated with the filter pressing and shearing chamber; the pressure conveyor is communicated with the slurry storage container; the pressurization and temperature control device is arranged on the outer part, close to the left container main body, of the filter pressing and shearing container; and the shear loading device is arranged outside the filter pressing shear container. According to the invention, a reliable experimental means is provided for researching the performance of the non-compaction pile in practical application, and the safety and durability of a building are improved.

The present invention belongs to the field of optical gas imaging detection, and discloses a multi-spectral channel gas classification and quantitative detection method and system thereof, including: dividing an incident light beam into a plurality of sub-beams and filtering them to obtain N-1 sub-beams of different narrow-band spectral bands and a broadband all-pass band sub-beam; converting the sub-beams of N bands into digital image signals of simultaneous imaging of multi-band channels; performing image registration and alignment of the digital image signals of simultaneous imaging of multi-band channels with images of different channels, and outputting a spectral image cube; performing classification detection on the spectral image cube to obtain pixel coordinate areas and type information of gas distribution; performing quantitative solution of concentration equations for the pixel coordinate areas and type information of gas distribution, and performing pseudo-color enhancement on the gas, and outputting the spatial distribution of gas concentration. The present invention can significantly improve the application level of optical gas detection technology, and provide more accurate and reliable solutions for fields such as environmental monitoring.

This application provides a method, apparatus, electronic device, and storage medium for location reliability processing. The method includes: first, acquiring first point cloud data; then, filtering the first point cloud data to reduce the number of points while maintaining shape features, to obtain second point cloud data; smoothing a first grid map to eliminate noise, to obtain a second grid map; then, calculating the matching degree of each current point based on the second point cloud data and the second grid map; obtaining the actual matching degree of each current point by multiplying by a preset coefficient, and calculating the root mean square error to obtain a second laser matching degree; finally, using the second laser matching degree as the robot's location reliability. This application can obtain more accurate location reliability.