12results about How to "Fully featured" patented technology

The invention provides a multi-modal intelligent irrigation decision algorithm based on causal inference, and the algorithm comprises the steps: carrying out the knowledge distillation of a pre-trained image feature extractor based on causal inference, and fully extracting the features of crop time sequence information and image information; according to the method, multi-modal data is considered, and heterogeneous data is deeply fused. Through knowledge distillation of an image feature extractor, the reasoning speed of the model is higher, the prediction accuracy is higher, end-to-end water shortage state prediction can be carried out based on greenhouse environment data, root system environment data and crop images, and a prediction result can be used for guiding crop irrigation and correcting the irrigation frequency and the irrigation amount of crops. And a more intelligent and comprehensive irrigation decision is realized.

The invention relates to the technical field of vehicle suspension system control, and discloses a multi-source data fused shock absorber self-adaptive regulation and control method and system.The method comprises the steps that multi-source signal data are synchronously collected through a sensor, and a preliminary signal set is generated in combination with environment change data; analyzing vibration signal peak amplitude and displacement data integral variation trend, distinguishing high-frequency small-acceleration and low-frequency large-amplitude pavement excitation characteristics, and determining signal contribution degree distribution; dynamically adjusting the signal weight and introducing temperature compensation to correct stiffness drift to generate a weighted vector; carrying out weighting processing, smoothing, noise suppression and nonlinear amplitude estimation to generate fusion data, and optimizing the weight to obtain a refined weighted vector; after secondary fusion, a cross-frequency-band transition smoothing technology and a least square method are adopted to determine damping characteristic parameters; according to the vehicle suspension system self-adaptive regulation and control method and system, the self-adaptive regulation and control accuracy and the working condition adaptability of the vehicle suspension system are improved.

The invention provides a cyclic enhanced vision-text cross-modal attention characterization method and a cyclic enhanced vision-text cross-modal attention characterization system. The invention aims to provide a vision-text cross-modal attention characterization method, and aims to enhance vision-text association and reduce feature difference between vision-text bimodals. Visual text fusion is researched in a unified manner through an iterative multi-stage vision-text fusion module, a mask reference-based central point supervision module and a cyclic enhancement decoder module. According to the method, the text information can be fully utilized, more comprehensive and more detailed text embedding is obtained, the context understanding of the image is enhanced, and the visual target most relevant to the text features is fused through circular enhancement. The method has a wide application prospect, can be applied to the fields of visual text fusion, remote sensing image processing and the like, and provides an effective solution for visual-text cross-modal feature representation.

The invention discloses a cross-platform store matching method and system based on multi-dimensional data fusion analysis, and relates to the technical field of data analysis, and the method comprises the steps: obtaining platform store multi-dimensional data from a plurality of data platforms; extracting store comprehensive features respectively corresponding to the multi-dimensional data of each platform store; performing weighted clustering on the comprehensive characteristics of each store to determine a plurality of corresponding clusters; in a weighted clustering process, calculating a corresponding membership degree according to the Euclidean distance between each store comprehensive feature and each clustering cluster; and for each store comprehensive feature, determining a matching cluster of the store comprehensive feature according to the cluster corresponding to the maximum membership degree, and determining the matching cluster as a cross-platform store matching result of the multi-dimensional data of the corresponding platform store. Therefore, through aggregation comprehensive analysis of the multi-dimensional data, the optimal matching result is output, and the consistency of O2O cross-platform matching results can be ensured.

Some embodiments of the present application provide a method, device, electronic device and storage medium for clustering target objects, the method comprising: obtaining multiple target objects; projecting each target object into a grid template respectively, and extracting a feature sequence corresponding to each target object; and obtaining clustering results for the multiple target objects according to the feature sequence. Some embodiments of the present application can achieve clustering of multiple target objects, with high versatility and high clustering efficiency.

The invention discloses a preparation method of a barium sulfate pre-dispersed master batch and a barium sulfate filled polyolefin elastomer material, and the preparation method comprises the following steps: (1) preparing a barium sulfate surface treatment auxiliary agent which comprises a block copolymer composed of methoxypolyethylene glycol and methyl methacrylate in a molar ratio of 1: (1-4), and the theoretical molecular weight of the barium sulfate surface treatment auxiliary agent is 300-600; (2) mixing barium sulfate powder with the barium sulfate surface treatment aid, stirring and mixing at a high speed, then putting into a high-temperature environment for binding reaction, and stirring at a high speed to obtain surface-treated barium sulfate powder; and (3) preparing an SEBS solution, adding the barium sulfate powder subjected to surface treatment into the SEBS solution, stirring and mixing, pouring the mixed solution into boiling water to remove the organic solvent to form a master batch, and drying to obtain the barium sulfate pre-dispersed master batch. The method provided by the invention can ensure sufficient dispersion of barium sulfate, better maintain the molecular structure of the carrier polymer, and improve the performance of the barium sulfate filled polyolefin elastomer material.

The present application discloses a method for detecting malicious websites, including: after a target web page of a target website is loaded, determining a webpage screenshot of the target web page; determining the content type of the target web page according to the sampling points in the webpage screenshot, and calculating the webpage feature value of the target web page according to the content type; judging whether there is a target feature value in a feature value database determined in advance according to the malicious website, and the target feature value has a similarity with the webpage feature value reaching a preset threshold; if so, determining that the target website is a malicious website. The present method improves the accuracy of detecting malicious websites on the basis of being able to reduce the consumption of human resources. The present application also discloses a malicious website detection device, equipment and computer-readable storage medium, all of which have the above-mentioned beneficial effects.

The invention discloses a high-precision positioning method for a mobile intelligent terminal, and belongs to the technical field of precise positioning, and the method comprises the following steps: S1, obtaining WiFi strength information, and determining a suspicious reference point set of the mobile terminal according to the WiFi strength information; s2, determining a positioning coefficient of each suspicious reference point in the suspicious reference point set; and S3, determining the accurate position of the mobile terminal according to the positioning coefficient of each suspicious reference point. The terminal positioning method provided by the invention is suitable for various environments, the positioning precision can be further improved, and the deployment cost of the positioning method is low.

The present application relates to the field of intelligent speech recognition, and specifically discloses a speech style recognition system based on a large model, which receives the speech input signal of the target user collected by a microphone, extracts the Mel spectrum therefrom, and uses the signal analysis and processing technology based on deep learning and large models to perform block processing and multi-scale semantic encoding on the extracted Mel spectrum graph of the speech input signal, so as to intelligently generate speech style recognition broadcast speech according to the dynamic feature aggregation representation between the local coding features of the Mel spectrum of each context obtained by encoding. In this way, the system can ensure that complex styles are fully characterized, and can better adapt to the significant differences in pronunciation, speech speed, pitch, etc. between different speakers, and improve generalization ability.

The invention belongs to the field of polymer composite materials, and discloses a barium sulfate surface treatment auxiliary agent, a preparation method and application of the barium sulfate surface treatment auxiliary agent and a barium sulfate filled polyolefin elastomer material. The molar ratio of methoxypolyethylene glycol to methyl methacrylate is 1: (1-4), and the theoretical molecular weight of the barium sulfate surface treatment aid is 300-600. The mPEG-MMA block copolymer composed of methoxypolyethylene glycol (mPEG) and methyl methacrylate (MMA) is prepared through oxygen anion polymerization and can serve as a barium sulfate surface treatment auxiliary to be fully combined on the surface of barium sulfate, the hydrophilicity of the barium sulfate is reduced, the characteristic that barium sulfate is difficult to be compatible with a polymer is overcome, and the service life of the barium sulfate is prolonged. The barium sulfate subjected to surface treatment can be fully combined with polyolefin elastomer components, highly uniform dispersion is realized, and the overall performance of the barium sulfate filled polyolefin elastomer material can be further improved.

The present disclosure relates to a text recognition method, device, readable medium and electronic device, the method comprising: obtaining a text image to be recognized; obtaining the text content corresponding to the text image through a pre-trained text recognition model according to the text image and the text words corresponding to the text image; wherein the text recognition model comprises an encoding sub-model and a character recognition sub-model, the encoding sub-model is used to output a character encoding feature vector corresponding to each character in the text image according to the input text image, and the character recognition sub-model is used to obtain the text content corresponding to the text image according to each character encoding feature vector and the word embedding vector corresponding to the text word. That is to say, when recognizing a text image, the present disclosure adds the features of the word granularity corresponding to the text image, so that the features of the text image are more complete, thereby improving the accuracy of text image recognition.

This invention discloses a predictive transmission feedback method and system based on trajectory-aware modeling. The method includes: a receiver preprocessing the received signal to form basic observation information and constructing trajectory-aware observation information, including the complex plane position of the equalization symbol, geometric deviation information relative to the reference constellation point, and corresponding reliability statistics and channel quality information; inputting the trajectory-aware observation information into a trajectory-aware modeling network for feature extraction and generating a risk score through a risk prediction branch, and generating policy priors and recommended actions through a policy generation branch; based on the risk score and policy priors and / or recommended actions, forming predictive transmission feedback information and feeding it back to the transmitter; and the transmitter adaptively adjusting subsequent transmission strategies after receiving the predictive transmission feedback information. This invention can generate more instructive feedback content in short-packet high-reliability transmission scenarios, improving transmission reliability and enhancing system latency and energy efficiency.