9results about How to "Strong correlation" patented technology

The application discloses an advertisement conversion rate calibration method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a parameter cumulative value related to an estimated conversion rate of target advertisement data within a preset time length, each set of target advertisement data having the same dimension information under at least one dimension object and corresponding to the same identifier combination, and the target advertisement data being selected from M advertisement data; selecting a target parameter cumulative value from the parameter cumulative values of the multiple sets of target advertisement data corresponding to the preset time length according to the to-be-put advertisement data and the identifier combination corresponding to the to-be-put advertisement data; obtaining a calibration coefficient of the to-be-put advertisement data according to the target parameter cumulative value; and calibrating the estimated conversion rate of the to-be-put advertisement data by using the calibration coefficient to obtain a calibrated estimated conversion rate. By using the calibration method, the calibrated estimated conversion rate is more accurate.

The present application relates to the technical field of integrated navigation, in particular to a positioning method and system based on optical angle measurement and astronomical-inertial integrated navigation. The method first acquires star and navigation satellite images by shooting a star map, and then calculates the attitude of the camera relative to the geocentric inertial coordinate system by identifying and processing the stars, and further determines the coordinates of the navigation satellite in the coordinate system. Through coordinate conversion, the angle information of the navigation satellite relative to the observer in the earth coordinate system is obtained. The optical angle measurement information is fused with the attitude, speed and position information output by the inertial navigation system, the Kalman filter state equation and observation equation are constructed, and finally the real-time high-precision solution and update of the observer's position are realized. The present application combines the accuracy of optical angle measurement, the limited distance reference of astronomical navigation and the autonomous continuity of inertial navigation, effectively improving the navigation and positioning accuracy and reliability under complex environment and satellite denial conditions.

The invention provides a safety verification method and system for a camera image and electronic equipment, and belongs to the technical field of image data processing, and the method comprises the following steps executed by an image sensor chip: responding to a frame synchronization signal, and synchronously triggering to collect original image data and environment parameters of a current frame; obtaining a pre-stored sensor chip identifier, and generating a dynamic watermark according to the environment parameter of the current frame and the sensor chip identifier and a preset rule; embedding the dynamic watermark into the original image data to obtain an image with a watermark; and outputting the image with the watermark and the environment parameters of the current frame to a rear-end image processing module. According to the invention, the reliability of verifying the authenticity and integrity of the camera image is improved.

The application relates to the fields of molecular biological technology and livestock breeding technology, in particular to a SNP molecular marker related to a total number of piglets character, a detection primer pair, a kit and application of the SNP molecular marker in a method for breeding large white pigs with high number of piglets, the SNP molecular marker is located on a pig 9th chromosome, a physical position is located at chr9:65633096 of a genome version Ensembl Sscrofa11.1, a polymorphism site is C or A, and the C allele is positively correlated with the high number of piglets character; through genotype discrimination, selection breeding can be carried out: an individual with a genotype of C / C is preferentially selected or reserved as a breeding pig, because the total number of piglets has the highest potential, so that the genetic improvement speed of a population breeding performance is accelerated.

This invention provides a method and system for explaining misclassified samples in an IoT device identification model based on random forests, belonging to the field of machine learning interpretability technology. The core of this method lies in locating the key features leading to misclassification of individual samples through a two-level interpretation framework combining fine-grained and coarse-grained approaches. First, for each misclassified sample, the fine-grained importance contribution value of that feature within a single tree is obtained by calculating the change in the proportion of samples of the true class caused by feature splitting along the decision path of each decision tree. Then, the results of all decision trees in the random forest are aggregated, and the average importance contribution value of each feature at the model level is calculated as the final importance score. Based on this, the key features leading to misclassification are identified and output. This invention does not require reconstruction of the original model and can achieve accurate explanation of the causes of sample-level misclassification, providing support for the optimization of IoT device identification models, network asset management, and security protection.

This invention relates to the emerging information field and provides a method and system for smart screen application orchestration based on a large language model. The method includes: inputting user-input natural language commands and a pre-built application capability description library into a large language model for intent understanding and task decomposition to obtain intent parsing results; inputting the intent parsing results and contextual information into the large language model for service matching and orchestration planning to obtain a large-screen orchestration scheme; using an interface generation engine, dynamically combining multiple cards and injecting parameters according to the large-screen orchestration scheme to obtain a personalized large-screen interface; collecting and analyzing user interaction behavior data based on the personalized large-screen interface to obtain behavior feedback results; and inputting the behavior feedback results into a user preference model for behavior pattern recognition to obtain recommended commands that trigger proactive large-screen generation. This invention solves the application isolation problem in smart screen systems and improves the intelligence level of smart screen systems.

This invention discloses the application and method of green manure return to the field in the remediation of cadmium pollution in red soil, belonging to the field of agricultural heavy metal pollution remediation technology. This method addresses the problems of high cost, potential secondary pollution, and difficulty in coordinating with agricultural production associated with chemical passivating agents in the remediation of cadmium-contaminated farmland in red soil. It utilizes a crop rotation system combining continuous planting and incorporation of milkvetch with rice planting and fertilization to simultaneously regulate and significantly increase soil microbial biomass carbon and amorphous iron oxide content, synergistically driving the transformation of soil cadmium from a highly active, weakly acidic extractable state to a more stable iron-manganese oxide-bound and organically bound state. This method achieves long-term, stable reduction of soil cadmium bioavailability without the need for additional chemical passivating agents, realizing a green, low-cost, and in-situ synergistic approach to cadmium pollution remediation and agricultural production, and has significant application value.

This invention discloses an automatic selection method and system for monitoring indicators of large-scale computer systems. The automatic selection method for out-of-band monitoring indicators includes: quantifying the dynamic correlation strength between M in-band and N out-of-band monitoring indicators from the same computer node using time-series data sequences; selecting multiple out-of-band monitoring indicators with strong dynamic correlation to the in-band indicators to obtain a set of key out-of-band monitoring indicators; and further optimizing the key out-of-band monitoring indicators by extracting in-band anomalies and performing spatiotemporal correlation analysis between in-band indicator anomalies and out-of-band hardware alarms to obtain the final selected out-of-band indicators. This invention aims to automatically and unsupervisedly select out-of-band monitoring indicators that are highly indicative of system operation by associating the system's in-band operating status, thereby reducing the problems of a large number of data acquisition sensors, high data transmission pressure, and large processing latency.

The application discloses a frequency-modulated laser pulse spectrum width calibration method and a calibration system based on a traversal correlation algorithm, and belongs to the field of laser signal processing. The frequency-modulated laser pulse spectrum width calibration method draws a first relationship curve between a measured spectrum width and a calibration spectrum width based on measurement data, and finally determines the calibration spectrum width of a subsequent laser pulse to be measured by using the first relationship curve. The application establishes a connection between a medium-precision measurement spectrum and a theoretical simulation spectrum, the calibrated spectrum width more reflects the physical nature of phase modulation relative to the -3dB spectrum width, and the data obtained by the calibration method and the calibration system has strong correlation (R>0.9), high linearity and high confidence, and the data is more reliable. Meanwhile, the calibration method and the calibration system provided by the application reduce the use frequency of a high-precision spectrometer, reduce the use cost, reduce the dependence on high-end instruments, and have high economic value.