9results about How to "Enable early detection" patented technology

This invention relates to the field of medical image processing, specifically to a multimodal medical image fusion system and method, comprising a data preprocessing module, a domain manifold embedding module, a hierarchical adaptive domain alignment network module, a multimodal feature fusion module, and a diagnostic decision module. The system establishes a topological correspondence between EBUS ultrasound, OCT tomography, and DWI functional images through a multidimensional domain manifold embedding structure; employs a hierarchical adaptive domain alignment network to achieve multi-scale feature extraction and precise alignment; designs a topology-preserving multimodal feature fusion mechanism to ensure the complete preservation of key diagnostic information from each modality during the fusion process; and utilizes a dual-path cross-validation decision strategy to improve the stability and reliability of diagnosis. The system inputs the domain-aligned multimodal features into a Transformer network and generates nodule detection and benign / malignant classification results through dual-threshold judgment, achieving accurate and non-invasive diagnosis of small lesions such as pulmonary nodules and early gastrointestinal lesions.

The invention discloses an intelligent acoustic positioning system for sick pigs in a hog house, and relates to the field of sound recognition and positioning. The problems that an existing sick pig acoustic positioning method is poor in voice recognition accuracy and large in positioning error in a complex acoustic environment are solved. According to the invention, a time difference and phase difference complementary positioning principle is adopted, and an adaptive beam forming technology is combined, so that the problem of inaccurate sound source positioning in a pig house environment with strong reflection and high noise is solved, multi-feature extraction and intelligent diagnosis are carried out on enhanced sound data through the sick pig sound recognition unit, and the recognition accuracy is improved. The method is mainly used for positioning sick pigs in a complex breeding environment.

This invention discloses a method and system for identifying crop pests based on visual recognition, belonging to the field of pest identification technology. A crop pest identification system based on visual recognition includes a crop visual processing module and a crop pest identification module. This invention constructs a multi-source information collaborative judgment mechanism by integrating visual image features, volatile gas concentrations, and environmental parameters, effectively distinguishing between physiological abnormalities and pathogenic diseases, reducing misjudgments and missed judgments caused by environmental interference, and significantly improving the accuracy and reliability of identification results. By combining gas sensor data to analyze crop respiration characteristics and maturity status, it can identify crop physiological abnormalities before visual symptoms appear, achieving early detection and warning of pests. Dynamically adjusting the identification threshold and sensitivity according to different growth stages supports targeted prevention and control decisions, improving the timeliness of prevention and control.

This invention discloses a combination of methylation molecular markers for the diagnosis or prediction of nasopharyngeal carcinoma, consisting of three methylation molecular markers located in the human ZNF804A, FOXL1, and CASZ1 genes: chr2:184598880-184599080, chr16:86578884-86579084, and chr1:10642015-10642215, specifically located using hg38. This invention also discloses the application of this combination of methylation molecular markers, related kits, and analytical processing procedures recorded on a computer-readable storage medium. The methylation levels of the ZNF804A, FOXL1, and CASZ1 genes, as biomarkers for the early diagnosis or prediction of nasopharyngeal carcinoma, enrich the options available to those skilled in the art.

This invention relates to the field of social media content detection, and more specifically, to an early rumor detection method based on cross-modal meta-learning of social big data with small sample sizes. The method includes: acquiring multimodal information to be detected published on social media; extracting features using a multimodal feature extraction network; constructing a multimodal hidden information extraction network to extract hidden information, thereby obtaining multimodal hidden information; constructing a multimodal fusion processing network; using the multimodal fusion processing network to detect rumors; and optimizing the multimodal hidden information extraction network and the multimodal fusion processing network using a meta-learning algorithm to obtain the final detection result. This invention achieves rumor detection by extracting multimodal hidden information and performing deep fusion processing. Furthermore, this invention achieves early rumor detection with a small sample size by applying a meta-learning algorithm to the multimodal hidden information extraction network and the multimodal fusion processing network.

This invention discloses a structure-sensor integrated prefabricated transition connection component and monitoring method for offshore wind turbine steel-concrete towers. It relates to the field of building structural component technology, and includes: a lower flange and an upper flange respectively provided on the upper and lower ends of the transition connection component body; a sliding decoupling interface layer on the lower end face of the lower flange and an upper sliding decoupling interface layer on the upper end face of the upper flange; an inner ring bolt assembly for connecting the lower flange to the lower concrete section ring body; and an outer ring bolt assembly for connecting the upper flange to the upper steel tower section; an FBG sensing channel is disposed within the wall of the transition connection component body. This invention, a structure-sensor integrated prefabricated transition connection component and monitoring method for offshore wind turbine steel-concrete towers, can serve as a load-bearing structural component, and simultaneously integrates strain self-sensing, interface slip self-detection, bolt axial force self-monitoring, and preload active hydraulic-semi-passive SMA combined self-compensation functions within the component body.

This invention discloses an in-situ monitoring device for formation fluid invasion based on annular fluid density measurement. During drilling, drilling fluid flows from the annulus through a fluid sampling unit located on the logging-while-drilling tool. This unit is connected to the annulus via inlet and outlet guide pipes, and a portion of the annular fluid continuously flows through a built-in radiometric densitometer. The densitometer continuously measures the fluid mixing density at a set frequency and converts the density data into an electrical signal. The downhole logging-while-drilling tool simultaneously collects real-time temperature and pressure data, accurately calculates and corrects the fluid phase density, and thus calculates the invasion amount at that downhole location. By setting an invasion amount alarm threshold, it is determined whether a spill has occurred. If a spill is confirmed, the invasion amount data and alarm information are uploaded to the surface data processor in real time via a logging-while-drilling pulse generator. This invention enables early monitoring of spills, providing a more reliable technical guarantee for drilling safety.

This invention relates to the field of machine tool processing technology, specifically to a gear-removing machine tool cutting tool and its electric spindle. The tool includes an electric spindle body, within which a rotary support module, a drive module, and a tool changing module are disposed. The rotary support module includes a rotary groove formed within the electric spindle body, a rotary sleeve rotatably connected within the rotary groove, and an air bearing disposed between the rotary sleeve and the inner wall of the rotary groove. The rotary sleeve is circumferentially arranged with several pneumatic displacement components, which generate displacement based on the air film pressure fluctuations generated by the air bearing on the rotary sleeve during tool processing. The invention also includes a monitoring mechanism and an alarm mechanism. The monitoring mechanism responds to the displacements generated by the pneumatic displacement components in various directions and performs displacement difference processing to obtain the displacement difference. The alarm mechanism triggers an alarm when the displacement difference exceeds a threshold. This invention enables real-time monitoring of the tool's operating status during gear-removing machining.