9results about How to "Consistent result" patented technology

The present application belongs to the field of image fusion and multi-modal image processing, and in particular to an infrared and visible light image fusion method based on semantic guidance and scene graph reasoning, comprising: S1, preparing a data set: preparing three visible light and infrared image fusion data sets, data set one and data set two are used for network training, fine tuning, and data set three is used for testing. The present application constructs a visible light and infrared image fusion model based on the infrared and visible light image fusion method based on semantic guidance and scene graph reasoning, designs a scene graph construction module based on self-supervised fine tuning, a semantic guidance deformable alignment module and a dynamic calculation and fusion module. Through experimental data, it is proved that the present application can effectively solve the problems of geometric misalignment and semantic gap, gradually improve the registration accuracy of key semantic regions, and alleviate the phenomenon of insufficient representation of pre-trained models on cross-modal data. The present application shows good performance in the qualitative and quantitative evaluation of visible light and infrared image fusion tasks.

The invention discloses a Fortran program parallel optimization method based on intelligent dependency analysis. The method comprises the following steps: firstly, constructing a parallel optimization system consisting of a loop extraction module, a loop nested relation analysis module, a semantic analysis module, an intelligent dependency analysis engine, a variable classification module and an instruction generation and injection module; the loop extraction module analyzes a nested relation and a variable action range of loops; the loop nesting relation analysis module determines a nesting relation between loops; the semantic analysis module constructs a row-level data access view; the variable classification module identifies private variables and reduction variables; the intelligent dependency analysis engine executes loop type check, I / O operation check and data dependency check; and the instruction generation and injection module generates a parallelization instruction and inserts the parallelization instruction into the source code to obtain a parallelized program source code. The method can solve the problems that an existing parallelization method is low in cyclic dependency relation recognition accuracy and safety, and parallelization errors cannot be accurately recognized.

The invention discloses a sensor product classification method based on a multi-modal condition, and relates to the technical field of product classification, and the method comprises the steps: defining the multi-modal condition and a standard value of a sensor; performing preprocessing operation on the multi-dimensional measurement characteristic data of the sensor, and screening effective samples to obtain a standardized deviation rate matrix; constructing a multi-dimensional similarity component for any two effective samples; setting a similarity component weight, and performing weighted fusion to obtain a comprehensive similarity; and the comprehensive similarity is converted into distance metric, effective samples are clustered by adopting a DBSCAN algorithm, a clustering result is output, and classification operation of sensor products is realized. Through the multi-dimensional similarity component, the classification result can be consistent with the actual performance of the sensor, the weight of the similarity component can be adjusted according to business requirements, classification targets of different application scenes can be adapted, abnormal samples seriously deviating from the standard are eliminated by screening effective samples, the difference between the dimension and the baseline is eliminated through standardization, and the classification accuracy is improved. And the interference of noise on the clustering result is reduced.

This invention discloses a method for preparing nano-boehmite and its application in lithium-ion battery separators, belonging to the field of inorganic nanomaterial preparation technology. The method includes five steps: raw material calcination and activation, preparation of precursor slurry, hydrothermal synthesis reaction, washing and filtration, and drying and depolymerization. Calcination is carried out in a dynamic calcination furnace, whose exhaust mechanism can promptly remove water vapor. During discharge, the switching mechanism automatically opens the discharge cover, achieving continuous production with no material sticking to the wall and no residue. The obtained nano-boehmite is characterized by low sodium content, uniform particle size, and good dispersibility. This material can be formulated with binders and other agents to form a ceramic coating slurry. After coating and drying, a robust nano-ceramic coating is formed on the surface of a polyolefin-based membrane. This coating significantly improves the thermal stability, electrolyte wettability, and puncture resistance of the separator, thereby improving the battery's safety performance and cycle life.

The application discloses a JPEG compression verification method and device and a storage medium, relates to the field of data processing, and comprises the following steps: acquiring an original image frame and a compressed image; performing grayscale processing and image cutting operation on the compressed image to acquire a plurality of compressed image blocks and grayscale image blocks; performing edge detection on the grayscale image blocks to acquire a binary edge image; acquiring an affine transformation matrix according to the pixel values of all pixels in the binary edge image; generating a plurality of feature image blocks according to the original image frame, image configuration parameters, each compressed image block and the affine transformation matrix; performing feature comparison on the i-th compressed image block and the i-th feature image block to acquire an i-th similarity comparison result; comparing the i-th similarity comparison result with a preconfigured preset threshold value respectively to acquire an i-th comparison result; and acquiring a compression verification result when the i acquired comparison results meet a preset stop condition. The method has high compatibility, low cost and high efficiency.

The utility model discloses a functional monomer synthesis product separation device belongs to the field of separation, including frame, the inside fixed mounting of frame has processing cylinder, the upper surface of processing cylinder is clamped and has the shelter cover, the upper surface fixed connection of shelter cover has rotary mechanism, the upper surface fixed connection of frame has the mixing open and close mechanism, through the cooperation of above each device, through the separation mechanism of setting, when separating monomer synthesis product, through high -speed operation can rotate the separation cover in separation mechanism, when the separation cover rotates, will monomer synthesis product high -speed rotation together, and the separation cover middle is the hollow state, when the separation cover high -speed rotation will rapidly separate the monomer synthesis product of inside, through the filter screen in separation mechanism separates liquid, flows in the gathering cover, has adopted the design of high -speed rotation, can rapidly complete the separation process of a large amount of material, compared with traditional gravity sedimentation etc. Method improves the processing speed.

This application proposes an interactive interface construction method, apparatus, electronic device, and storage medium. It determines the current hierarchical relationship between the selected component and other components based on their current positions. If the current hierarchical relationship is sibling, it determines whether the selected component matches a first preset layout. This identifies whether the user's intended design of the selected component conflicts with the preset layout information. If a conflict is found, the layout information is updated. The selected component and other components are designated as child components of a second parent component. A final preview of the selected component and other components is displayed on the canvas interface. This avoids the need for users to first understand the logical positional relationships of each component and then manually adjust them. By constructing a parent component and preset layout information, it improves processing efficiency and user flexibility, lowering the barrier to entry.

The application provides a heat treatment water hydration shale porosity prediction method based on energy theory, comprising: carrying out rock uniaxial or triaxial compression test on target shale under different heat treatment temperature and hydration time conditions, obtaining full stress-strain curve, and calculating total energy of external load input through integration; based on the first law of thermodynamics, the total energy of the external load input into the target shale is decomposed into releasable elastic strain energy and irreversible dissipation energy; the adsorption behavior of clay minerals of the target shale in the hydration process is quantified as the pore surface area by using the Langmuir isothermal adsorption theory; based on the fact that the pore surface area increment generated by hydration adsorption and the pore surface area increment generated by thermal stress cracking jointly constitute the total increment of the internal pore surface area of shale, and combining the geometric correlation between the pore surface area and the pore volume, the heat treatment water hydration shale porosity is predicted. The method provides a quantitative basis for shale gas reservoir evaluation, fracturing temperature optimization and wellbore stability evaluation.

This application provides a method, apparatus, and storage medium for generating computational jobs. The method includes: obtaining a first structured query language to create a draft entity containing the first structured query language; creating a first deployment entity in streaming mode based on the draft entity, obtaining first configuration information of the first deployment entity, and starting the first deployment entity to create a first instance in streaming mode and a first computational job corresponding to the first instance and running according to the first configuration information; creating a second deployment entity in batch mode based on the draft entity, obtaining second configuration information of the second deployment entity, and starting the second deployment entity to create a second instance in batch mode and a second computational job corresponding to the second instance and running according to the second configuration information, ensuring consistency between the results of streaming jobs and batch jobs.