8results about How to "Overcome mismatch" patented technology

The invention discloses an airborne hyperspectral point cloud three-dimensional target detection system and method based on cylinder-voxel fusion, and belongs to the technical field of three-dimensional target detection. The objective of the invention is to solve the problems of difficulty in fully extracting features and mismatching of space and spectrum in existing three-dimensional target detection. The method comprises the following steps: firstly, through canopy density calculation and ground fitting, randomly adding an adversarial sample for a to-be-detected scene; then target detection is carried out based on an airborne hyperspectral point cloud three-dimensional target detection system based on cylinder-voxel fusion, and the system realizes feature extraction of airborne hyperspectral point cloud and split geometric point cloud through a cylinder-voxel double-branch encoder; aligning, dynamically adjusting and integrating double-branch intermediate layer features through a sparse feature fusion module; and then adaptively aligning and selecting double-branch output features by using a block feature fusion module to obtain a dense aerial view feature map of the scene, and then inputting a detection head to obtain a prediction result.

The embodiment of the utility model provides a microscope system and a microscope, and relates to the technical field of microscopes, the microscope system comprises a host control subsystem and a microscope, the microscope comprises a machine head imaging subsystem and a machine body operation control subsystem, and the machine body operation control subsystem comprises a Z-axis module, an objective table and an auxiliary image acquisition module. The machine head imaging subsystem comprises an objective lens, an image acquisition module, an objective lens conversion module and an objective lens identification module; the host control subsystem comprises an image processing module and a display control module; the host control subsystem is in communication connection with the machine head imaging subsystem, and the host control subsystem is in communication connection with the machine body operation control subsystem; the machine head imaging subsystem is installed on the machine body operation control subsystem. The objective table is used for placing a sample to be tested, and under the driving of the Z-axis module, the distance between an objective lens of the machine head imaging subsystem and the objective table changes along the Z axis. According to the embodiment of the invention, the adverse effect of the depth of the traditional optical microscope group on the imaging quality is reduced.

This application provides a gradient-doped ferroelectric thin film device and its fabrication method, relating to the field of optoelectronic device technology. The gradient-doped ferroelectric thin film device comprises, from bottom to top, a substrate, a buried oxide layer, a buffer layer, and a ferroelectric thin film material layer; the ferroelectric thin film material layer is doped with impurity ions, with the doping concentration of the impurity ions increasing sequentially from bottom to top. This application, by employing a bottom-up incremental gradient doping design, optimizes the interface defects and internal stress of the ferroelectric thin film, overcomes the problem of lattice mismatch between ordinary ferroelectric thin films and the substrate layer, achieves improved crystal quality and enhanced electro-optic coefficient, and effectively improves the electro-optic effect.

The invention discloses a computer-aided oracle-bone conjugation method of a full-scale contour feature decomposition matrix. The method comprises the following steps: firstly, extracting an external edge contour of an oracle bone rubbing by utilizing a maximum between-class variance method, morphological operation and an edge tracking algorithm; secondly, converting edge contour pixels of the oracle bone rubbing into a coordinate sequence, and extracting angle features, distance features and end point features of the oracle bone rubbing under all scales by using a full-scale contour feature decomposition matrix to obtain fractal information of an oracle bone edge muck; then, a candidate ballast fragment to be matched is positioned through slicing and cyclic shift operation of a full-scale contour feature separation matrix, and companding processing is carried out on edge fractal features under all scales through nonlinear transformation; and finally, performing automatic matching by taking the Euclidean distance and the large amplitude coefficient proportion as similarity measurement, and determining an oracle bone rubbing set for conjugation. Experimental results verify the effectiveness of the method.

The present disclosure provides a game interaction method and device, an electronic device, and a storage medium, and relates to the field of game technology. The game interaction method comprises: obtaining biological activity data of a target user collected by a wearable device; determining the current activity state of the target user according to the biological activity data; in response to the current activity state of the target user being a preset state, controlling a game virtual character to perform a plot interaction operation with the target user corresponding to the activity state of the target user. The present disclosure can effectively improve the efficiency of game information transmission and the matching degree of information content.

This invention proposes a method for the coordinated control of argon flow rate and micro-positive pressure in an electroslag remelting furnace, comprising: acquiring oxygen content and micro-positive pressure signals within the furnace; predicting future furnace conditions using a deep belief network model; offline optimizing the initial parameters of a fuzzy PID controller using a particle swarm optimization algorithm; online adaptively adjusting the controller parameters based on real-time signals and prediction results; and finally, outputting coordinated control commands for argon flow rate and dust collector valve opening. This invention achieves proactive control by predicting future furnace conditions using a deep belief network model, overcoming the problem of large system lag; offline parameter optimization of the fuzzy PID controller using a particle swarm optimization algorithm provides it with excellent initial performance adaptable to different operating conditions; adaptive adjustment of controller parameters through online fuzzy inference enables the system to be robust to dynamic processes; and finally, precise and stable coordinated control of oxygen content and micro-positive pressure within the furnace is achieved by calculating the coordinated argon flow rate and dust collector valve opening commands.

The invention relates to a barrel type foundation structure anticorrosive coating thickness control method and device considering a multi-factor coupling effect and a medium. The method comprises the steps that S1, a coating dry film thickness prediction model is constructed based on a simulation data set and a historical data set; s2, acquiring a real-time environment wind speed and a spraying distance, and querying based on a pre-configured response surface database to obtain a reference spraying pressure and a reference nozzle walking speed; s3, on the basis of the coating dry film thickness prediction model, a spraying pressure correction sequence and a nozzle walking speed correction sequence are obtained by minimizing film thickness control deviation and fluctuation targets of spraying pressure and nozzle walking speed in a period of time in the future; and S4, respectively superposing to the corresponding reference spraying pressure and the reference nozzle walking speed to obtain the target spraying pressure and the target nozzle walking speed. Compared with the prior art, the method has the advantages that the film thickness prediction precision under variable working conditions is improved, and accurate closed-loop control of the coating thickness is realized.

The invention discloses a lithium battery SOC adaptive estimation method based on multi-mode fusion. A data acquisition and processing module, a multi-mode fusion estimation module and an adaptive parameter optimization module are included. According to the method, multi-source data such as voltage, current, temperature and the like are collected in real time, online parameter identification is carried out by adopting a least square method with a joint adaptive forgetting factor and noise covariance, the online parameter identification is combined with extended Kalman filtering, ampere-hour integration and static calibration, dynamic fusion is carried out according to confidence, and an optimal SOC estimated value is output; according to the method, the problem that the precision of a traditional single estimation method is reduced under a complex working condition is effectively solved, and the robustness and accuracy of SOC estimation of the lithium battery under the conditions of a full life cycle, a wide temperature range and variable loads are remarkably improved.