20results about How to "Valid match" patented technology

The invention discloses a knowledge graph-based dynamic vocational ability and post matching education evaluation method. The method comprises the steps of S1, constructing a vocational ability knowledge graph; s2, constructing a post demand knowledge graph; s3, designing and training a double-layer generative adversarial network model; s4, matching the vocational ability enhancement scheme and the post demand change generated by the double-layer generative adversarial network model with the existing vocational ability knowledge graph and post demand knowledge graph; s5, updating the vocational ability knowledge graph and the post demand knowledge graph in real time based on the dynamic change of the market demand and the development condition of the individual vocational ability, generating a new matching relationship by using a double-layer generative adversarial network model, and continuously optimizing a matching result; and S6, according to the optimized matching result, generating an education evaluation report and an occupational planning suggestion. According to the invention, the dynamic adaptability and the matching accuracy of vocational ability and post matching are remarkably improved, and accurate docking between job seekers and post requirements is realized.

The invention discloses a stereo matching method based on context geometric features and distortion parallax optimization, which comprises the following steps of: firstly, shooting a calibrated left picture and a calibrated right picture through a binocular camera, extracting multi-scale context features of the two pictures, and calculating the similarity between feature points according to the feature points of the left feature graph and the right feature graph under different parallaxes; the matching cost is the matching cost, so that the constructed geometric cube contains rich geometric matching information. Meanwhile, context features are copied and expanded into context feature cubes with the same size according to parallax, and rich context information is contained. The geometric cube contains matching conditions of feature points of left and right views with different parallax errors, cost aggregation is guided through context features of the left view, and context feature information, feature point cost matching information under different parallax errors and geometric information of adjacent feature points are preliminarily fused to improve cost matching reliability. And generating a geometric attention weight cube. And filtering the contextual feature cube.

The invention discloses a three-dimensional directivity target segmentation method under weak supervision setting, and relates to the technical field of three-dimensional directivity target segmentation. The method comprises the following steps: an instance extraction process: obtaining a point cloud scene and text description, extracting 3D instances in the scene, and representing the 3D instances as instance masks and category score prediction; in the multi-expert mining process, information is extracted from semantic clues of three dimensions of complete context, attribute and category through a plurality of expert models, and semantic distribution of targets is calculated respectively; and a multi-expert aggregation process: according to characteristics of a current sample, automatically endowing input distribution from a more accurate expert model with a larger weight, and eliminating interference information while highlighting a target instance. According to the three-dimensional directivity target segmentation method under weak supervision setting provided by the invention, only the three-dimensional point cloud data and the corresponding directivity description are provided, and mask annotation is not provided, so that time and energy do not need to be consumed for mask annotation.

The invention relates to a data matching method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of obtaining to-be-matched text data; determining a business object matched with the text data based on a matching result of the text data and prompt words in a preset relation table, and obtaining a candidate data identifier based on a field identifier of the business object; extracting a description field of the candidate data from the candidate data corresponding to the candidate data identifier; and based on the similarity between the description field of each candidate data and the text data, determining target data matched with the text data from the candidate data. According to the method and the device, matching between the data data and the text data is converted into matching between texts, so that effective matching between the data data and the text data is realized.

The invention discloses a flying car obstacle avoidance method, system and device based on multi-sensor fusion, and belongs to the technical field of flying cars, and the obstacle avoidance method comprises the following steps: obtaining image data and point cloud data of the surrounding environment of a flying car after a camera sensor and a laser radar sensor are subjected to time-space synchronization; after the image data and the point cloud data are preprocessed, target detection is carried out respectively to obtain two-dimensional image target information and a point cloud target detection result; after data association is carried out on the two-dimensional image target information and the point cloud target detection result by adopting an IOU-based matching strategy, optimal matching is carried out through a KM association matching algorithm to obtain a matching result and confidence; and performing optimal path planning according to the matching result and the confidence coefficient to obtain an optimal track, and performing obstacle avoidance by the hovercar according to the optimal track. According to the invention, the obstacle detection accuracy of the existing obstacle avoidance technology can be further improved, and the optimal obstacle avoidance track can be planned.

The invention relates to a map construction method and device based on visual SLAM (Simultaneous Localization and Mapping). The method comprises the following steps: acquiring a target environment image in real time through a camera; calculating a camera pose according to the target environment image; extracting point, line and surface features in the target environment image, and constructing an error function of similar features and heterogeneous features according to the camera pose; constructing an optimization solver comprising a nonlinear equation and an iterative algorithm, wherein the nonlinear equation is used for calculating the moving trajectory of the camera; inputting the point, line and surface features of the current frame, determining the camera pose of the camera in the next frame relative to the point, line and surface features, and determining the mapping relation of the point, line and surface features of the current frame in the next frame according to the error function; according to the method, the point, line and surface features in the next frame are iteratively optimized according to the mapping relation to complete the construction of the map, and by constructing an error function and iteratively optimizing, the features of different image frames can be effectively matched, mismatching is reduced, and the matching accuracy is improved.

This invention belongs to the field of near-infrared luminescent materials technology, and provides a tungstate-based broadband near-infrared luminescent material, its preparation method, and its applications. The preparation method includes: (1) weighing SrCO3, La2O3, WO3, and Bi2O3 raw material powders respectively; (2) grinding the weighed raw material powders in an agate mortar, obtaining a mixture after grinding, and pouring the mixture into a clean alumina crucible; (3) transferring the alumina crucible containing the mixture to a high-temperature box furnace for sintering to obtain the tungstate-based broadband near-infrared luminescent material. This tungstate-based broadband near-infrared luminescent material can achieve continuous control of luminescence behavior by adjusting the concentration of doped ions, the external field temperature, and the excitation wavelength. This tungstate-based luminescent material has wide applications and can be used in lighting, bioimaging, temperature sensing, anti-counterfeiting coding, multi-channel optical information storage / encryption, and many other fields.

The utility model relates to the technical field of clamping structures for numerically controlled lathes, in particular to a clamping structure for a numerically controlled lathe, which comprises a worktable, mounting holes are formed in positions, close to four corners, of the upper end of the worktable, a movable plate is arranged on one side of the upper end of the worktable, and a fixed plate is fixedly mounted on the other side of the upper end of the worktable. Clamping assemblies are arranged on the opposite sides of the movable plate and the fixed plate correspondingly, each clamping assembly comprises a disc, six rectangular grooves are annularly formed in the outer surface of one side of each disc, guide rods are arranged in the rectangular grooves, and arc-shaped clamping pads are fixedly mounted at the positions, located outside the discs, of one ends of the guide rods; a driven gear disc is movably installed at the position, close to the center, of the front end of the disc, and six arc-shaped through grooves are formed in one side of the driven gear disc. The clamping structure for the numerical control lathe is good in clamping effect and capable of preventing workpieces from being damaged.

The invention relates to the technical field of screen display, in particular to a display module, a display method, a controller, a storage medium and a display system, and aims to solve the problem of how to effectively match a backlight partition and a display partition and improve the display effect. Based on the purpose, the display module comprises a backlight module and a display panel, the size of a light-emitting area of the backlight module is the same as that of a display area of the display panel, and the size of the display area is configured to be that the actual resolution is larger than the nominal resolution of the display panel. When the backlight module and the display panel are assembled, the assembly deviation between the backlight module and the display panel is obtained, the pixels needing to be closed in the pixels corresponding to the actual resolution of the display panel are determined according to the assembly deviation, and the pixels needing to be closed are forbidden. In this way, the unclosed pixels in the pixels corresponding to the actual resolution provide nominal resolution, and the backlight module and the display panel can be effectively matched.

This application provides a semiconductor device and a preparation method thereof, an integrated circuit, and an electronic device. The semiconductor device includes a drain, a substrate, an epitaxial layer, and a semiconductor layer. The semiconductor layer includes a source region located on a side that is at the semiconductor layer and that is away from the epitaxial layer. A trench extending to the epitaxial layer is disposed on a side that is of the source region and that is away from the epitaxial layer. A gate, an electrode plate, a first shield gate, and a second shield gate are disposed in the trench. The electrode plate is located between the first shield gate and the second shield gate. The trench is further filled with an oxidized layer structure. The first shield gate and the second shield gate are separately spaced from the electrode plate to form electrode plate capacitance. A first electrode is electrically connected to the electrode plate, and a second electrode is electrically connected to the shield gate structure. The first electrode is one of the source region, the drain, and the gate, the second electrode is one of the source region, the drain, and the gate, and the first electrode is different from the second electrode. The electrode plate capacitance can change output capacitance, Miller capacitance, or input capacitance to adjust a capacitance value and optimize performance of the semiconductor device.

The invention relates to the technical field of geographic information systems, in particular to a geographic information acquisition system and method based on remote sensing images, and the system comprises a remote sensing image analysis module, a feature data extraction module, a classification matching module and a geographic data analysis module. According to the method, spectral reflection analysis is carried out on all pixels, color values are extracted in different wave band ranges, feature analysis is carried out, texture feature values containing geological information are extracted, and different land cover types can be identified more accurately; effective matching between the image units and the geographic classification labels is realized by calculating the weighted Euclidean distance between the feature vector of each image unit and each label classification vector; by extracting geographic classification label matching results, various types of geographic information data are counted, geographic distribution characteristics can be known, and data support is provided for subsequent geographic planning and resource utilization.

An optoelectronic device includes a first substrate, a second substrate, a photonic integrated circuit, and a laser diode. The second substrate is located above the first substrate. The photonic integrated circuit is disposed on the first substrate. The photonic integrated circuit includes a first waveguide channel, a second waveguide channel, and a patterned structure. The first waveguide channel and the second waveguide channel are coupled to the patterned structure. The laser diode is arranged on the second substrate and is used for emitting a light beam towards the patterned structure. Polarization-independent and better optical coupling efficiency can be achieved.

The application discloses a kind of urban rail transit signal system risk refinement grading method, comprising: basic data preprocessing, the correlation of scene and risk point under the construction of different scenarios, the risk index of each risk point is calculated, high-risk transmission path and key risk node are identified, and the risk level result for different scenarios is formed by fine classification risk, update based on data update, scene change and equipment iteration trigger risk point set and the result of risk level dynamic update.The present application can provide the basis for the scene-based and refined risk classification of urban rail transit signal system, support the dynamic correction and iterative optimization of risk level.

The present invention relates to the field of medical data processing technology, and in particular to an automatic discharge monitoring system based on data processing. The system includes a remote monitoring module, a medical health database, a data processing module, a data analysis module, and an early warning module. The present invention analyzes and processes the monitored self-reported data to efficiently identify repeated content appearing in text data, that is, by performing extended scanning and detection on keywords, it avoids repeated matching of repeated real-time keywords in the database, that is, avoids repeated detection of matches, improves data processing efficiency, deletes repeated content, processes data in a timely and effective manner, reduces repeated and redundant information in medical health data, improves data quality and availability, determines different risk levels based on the degree of correlation between the self-reported content and the condition, and the monitoring results of physical health parameters, analyzes discharge monitoring data in more detail, and improves system management efficiency.

The invention relates to the technical field of artificial intelligence, and provides a model-based artificial intelligence real-time news recommendation system, which comprises a data acquisition module, a preprocessing module, a model training module and a recommendation module. The system collects news data from multiple sources, cleans and converts the news data, constructs a recommendation model by adopting a collaborative filtering algorithm, and generates a personalized recommendation list to be pushed to a user. According to the method, the news reading correlation and the user satisfaction can be improved.

This application discloses a method and system for matching electric vehicle charging and discharging stations with the electricity market. The method includes: collecting multi-day charging record data from multiple electric vehicle charging and discharging stations; obtaining the adjustable range for each electric vehicle charging and discharging station based on the multi-day charging record data; classifying each electric vehicle charging and discharging station into those eligible for market access and those not eligible for market access; establishing a calculation model for maximizing the revenue of each eligible station participating in various electricity markets; obtaining revenue datasets for each eligible station participating in various electricity markets based on the calculation model for maximizing the revenue of each eligible station participating in various electricity markets; establishing a station-electricity market matching model for each eligible market; and obtaining matching strategies for each eligible market and the electricity market based on the station-electricity market matching model for each eligible station. This application enables effective matching of electric vehicle charging and discharging stations with diversified electricity markets.

The invention discloses a heterogeneous SAR image high-precision connection point matching method. The method comprises the following steps: extracting object space connection points as region guidance according to object space SAR image data; determining an initial position and a guide area of an image space connection point based on an object-image conversion relation, searching a local optimal connection point, and extracting a supplementary feature point according to an exponential weighted mean ratio of an image texture structure; constructing SAR image feature descriptors according to a gradient statistical histogram and accurately matching the SAR image feature descriptors with image spaces; further eliminating wrong matching points through a similarity threshold value and a random sample consistency algorithm to obtain high-precision connection points; according to the invention, the problems in the prior art that the different-orbit SAR image connection point matching method has obvious defects in coping with the problems of image isomerism and object image conversion position deviation and is difficult to meet the application requirements of high-precision SAR images are solved.

The present invention discloses an image augmentation model training method and an image classification method based on a variational autoencoder and a generative adversarial network. The method inputs the visual features and semantic features of a visible class training image into the visual modality and semantic modality variational autoencoders to generate a first pseudo visual feature and a pseudo semantic feature respectively, and inputs them into a generator network to generate a second pseudo visual feature, and then uses a discriminator network to discriminate between real features and generated features, and uses a visible class training image data set to train the variational autoencoder generative adversarial network model. For zero-shot image classification, the model trained on the visible class generates pseudo visual features of unseen class training images and combines the class label training classifier to classify the unseen class images; it can effectively fuse the visual information and semantic information of the image, generate visible class and unseen class images that are closer to the real data distribution and of high quality, and improve the accuracy of zero-shot image classification.

The present application relates to the technical field of information matching, in particular to a past matching method and system based on multi-feature fusion natural language processing, which comprises the following steps: obtaining past description texts from two users respectively, calculating the scores of the two texts in five dimensions of semantic similarity, role complementary similarity, time entity similarity, place entity similarity and name gender similarity respectively, obtaining the comprehensive matching degree through weighted fusion, and completing matching determination and notification interaction based on the preset matching threshold. Through multi-dimensional feature fusion, especially the innovative role complementary similarity calculation mechanism, the accuracy and robustness of the past matching are greatly improved, without the need for the user to provide the accurate identity information of the other party, and the matching can be completed only through the common past description, which can be widely applied to the friend matching scene of social network platforms.

This invention discloses a visual buffer pick-and-place device and method for microneedles. The device includes a feeding assembly, a pick-and-place assembly, and a feeding assembly. The feeding assembly includes a vibrating plate and a visual screening unit. The vibrating plate disperses the vibration of the microneedles, and the visual screening unit acquires images of the microneedles, filters and identifies individual microneedles, and provides feedback on the position and orientation information of the individual microneedles. The feeding assembly includes a feeding seat and a pressure-adjusting buffer structure. The feeding seat has a feeding groove, and the pressure-adjusting buffer structure provides a buffer positive or negative pressure to the feeding groove. The pick-and-place assembly includes a suction head, a pressure-adjusting pick-and-place structure, and a driving structure. The suction head has several microholes communicating with the pressure-adjusting pick-and-place structure. By generating negative pressure at the microholes, the individual microneedles are picked up. The driving structure drives the suction head to reciprocate between the feeding assembly and the feeding assembly, and delivers the individual microneedles to the feeding groove according to the position and orientation information to complete the feeding operation.