6results about How to "Overcome ambiguity" patented technology

The embodiment of the invention provides a tomato maturity prediction method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring a color image, one-dimensional near infrared spectrum data and one-dimensional ultrasonic spectrum data of a tomato; performing feature extraction on the color image to obtain a visual feature vector; converting the one-dimensional near infrared spectrum data into two-dimensional near infrared spectrum data, and performing feature extraction on the two-dimensional near infrared spectrum data to obtain a near infrared spectrum feature vector; performing feature extraction on the one-dimensional ultrasonic spectrum data to obtain an ultrasonic feature vector; based on an attention mechanism, performing feature fusion on the visual feature vector, the near infrared spectrum feature vector and the ultrasonic feature vector to obtain a target fusion feature vector; and predicting the target fusion feature vector to obtain the maturity. According to the invention, the accuracy of tomato maturity prediction is improved.

The invention relates to the technical field of medical care informatics, and discloses a hysteroscope image auxiliary diagnosis and treatment evaluation system fusing traditional Chinese and western medicine multi-mode characterization, which comprises an optical field data acquisition module, a spectral texture orthogonal decoupling module, a heterogeneous flow field dynamic characterization module and a rheological state inversion mapping module, by decoupling specular reflection and diffuse reflection signals, a Qi-blood body fluid operation retardation quantitative index of a fluid drift model relative to an endometrial basement motion model is calculated, a light tissue relative slip vector is generated, a rheological characteristic index is inversed and is mapped to an orthogonal evaluation space in combination with chromaticity characteristics, and the evaluation accuracy is improved. According to the method, a microstate quantification mechanism based on fluid dynamics is constructed, the technical problem that the traditional Chinese medicine body fluid metabolism syndrome lacks objective physical characterization indexes is effectively solved, and the evaluation precision and diagnosis specificity of the pathological and physiological state of the uterine cavity microenvironment are improved.

The invention discloses a multi-virtual-person simulated teaching method and a related device, and relates to the field of virtual teaching, multi-modal interaction data of a target object in a virtual classroom is acquired, a target dimension influenced by the multi-modal interaction data is determined, a state value of a virtual student under the target dimension is updated according to the multi-modal interaction data, and the state value of the virtual student under the target dimension is updated according to the updated state value. And the virtual students are driven to make related behavior feedback based on the updated state values, the multi-modal interaction data are obtained again until the teaching is finished, and teaching evaluation data are generated according to the multi-modal interaction data and the behavior feedback obtained in the teaching process. According to the method, state value updating is only carried out on the influenced target dimension, the lesson listening state jumping efficiency is improved, the training scene is more consistent with the real teaching situation, and teaching in the virtual training scene is safer and more controllable; and evaluation is carried out based on objective data of the teaching process, so that objectivity and credibility of teaching evaluation data are improved.

The present application relates to the field of petrochemical industry and environmental protection technology, and particularly relates to a multi-core pipe parallel type main and auxiliary cavity cyclone oil-gas-water separation system and a separation method. The method comprises obtaining the time of flight of reflected sound waves and the Doppler power spectral density diagram of the cyclone separation main cavity; determining the axial coordinate sequence and the radial coordinate sequence based on the time of flight; determining whether the cyclone intensity of the cyclone separation main cavity is qualified based on the height difference of the cyclone liquid column; in response to the unqualified cyclone intensity, determining the adjustment direction of the gas phase outlet back pressure based on the cyclone gas core ratio; based on the qualified cyclone intensity, determining whether the cyclone load of the cyclone separation auxiliary cavity is up to standard based on the frequency spectrum width value, and in response to the unqualified cyclone load, prolonging the liquid phase separation time of the cyclone separation main cavity; based on the qualified cyclone load, determining whether there is a downward trend of the oil-gas-water separation efficiency, and enabling sound early warning when the oil-gas-water separation efficiency has a downward trend. The present application solves the problem of lag in sensing the state fluctuation of the oil-gas-water mixed liquid flow field.

This invention relates to the field of metal environment imaging, and more particularly to an environmental imaging method and apparatus based on millimeter-wave radar. The method includes the following steps: transmitting multi-frequency signals to the metal environment to be detected using a millimeter-wave radar array, and extracting multipath signal sequences; performing interferometric phase analysis based on the multipath signal sequences to obtain the three-dimensional coordinates of the metal and the actual target reflection point; performing iterative forward calculation based on the three-dimensional coordinates of the metal and the actual target reflection point to obtain a first metal environment image; and performing iterative residual convergence on the first metal environment image to output a second metal environment image. This invention achieves high-precision and reliable three-dimensional imaging of complex metal environments.

The present application relates to a kind of detection method and device of traffic signal light state under vibration condition, solve the technical problem that signal light state identification is unreliable under vibration condition.Method includes: the image preprocessing of signal light video under vibration condition is carried out to overcome input interference and form the image sequence of detection;Through target detection model, signal light in input image is carried out target detection to obtain positioning area and detection confidence, and the statistical characteristic analysis of RGB channel is carried out to signal light by positioning area;According to detection confidence and statistical characteristic, the fusion probability determination of signal light state is carried out;According to the state time sequence of signal light, signal light interframe state is smoothed, and state conversion constraint is established to verify signal light state and output.Multiple-source information probability fusion can improve detection robustness, and modal feature fusion of cross-appearance information and structure information can effectively suppress noise, and improve the sensing performance in complex scene.