6results about How to "Raise the bar" patented technology

The application relates to the technical field of data analysis and intelligent marketing, and particularly discloses a market trend prediction and precision marketing system based on deep learning. The system comprises a data interface module, an interlocking collaborative analysis engine and a strategy generation module. The interlocking collaborative analysis engine sequentially performs market trend prediction and user behavior analysis, and through a two-way coupling feedback step, converts the market prediction result into an adjustment signal for a user interest model, and feeds the emerging pattern identified in the user behavior to the market prediction model as a correction input; and then updates the two models based on the coupled new data, to realize collaborative evolution. The strategy generation module generates marketing instructions under resource constraints according to the collaborative analysis result. The application realizes the deep integration and co-evolution of market trends and user preferences by forcibly establishing and continuously optimizing a two-way interaction channel between macro prediction and micro analysis, so that the foresight, precision and self-adaptive ability of the marketing strategy are improved.

This application provides an adaptive blockchain notarization method, system, blockchain gateway device, and computer program product for IoT data. The main components include: receiving raw data transmitted from IoT devices; calculating the notarization value score of the raw data based on at least two of the following: risk deviation index, event scarcity index, device reputation weight index, and service interruption indication index; periodically acquiring the operating status parameters of the blockchain network and calculating the current congestion index based on the operating status parameters; calculating a rapid notarization threshold and an aggregated notarization threshold based on the current congestion index; and performing the following diversion processing on the raw data according to the relationship between the notarization value score and the rapid notarization threshold and the aggregated notarization threshold, respectively, to complete the notarization of data transmitted by IoT devices, achieving adaptive resource optimization and timely protection of critical data.

This invention relates to a method for managing the weight of goods in multimodal transport, comprising the following steps: (1) a courier company branch collects express packages and transports them to the courier company's city transit station; (2) the courier company's city transit station selects express packages to be delivered for multimodal transport, weighs the packages using intelligent weighing equipment, checks whether the weight and cost are consistent while scanning the package tracking number, and then records it to the blockchain; and divides the packages according to the transport city, recording the tracking number of each package to the blockchain; (3) the courier company transports the multimodal transport goods to the multimodal transport consignment point and hands them over to the multimodal transport carrier; (4) the multimodal transport entity delivers the goods to the courier company in the target city; (5) the weight of the transported goods is recorded; (6) offline error analysis is performed, and records with an absolute error value greater than 5% are analyzed monthly. The advantage of this invention is that it proposes a weight management method based on a game-theoretic mechanism in multimodal transport to strengthen the fair and trustworthy mechanism outside the system.

The utility model discloses a single machine table for testing open-circuit voltage of a blade cell and measuring thickness of the cell, which comprises a large mounting plate, and a thickness measuring mechanism is mounted above the large mounting plate through a portal frame; a probe mechanism is mounted on the rear side of the portal frame through a supporting plate; upper-layer sliding table linear guide rails are symmetrically connected to the portion, below the portal frame, of the installation large plate through supporting frames, an upper-layer sliding table air cylinder and a lower-layer sliding table air cylinder are connected to the portion, between the two upper-layer sliding table linear guide rails, of the installation large plate, and an upper sliding table assembly is in driving connection with the upper portion of the upper-layer sliding table air cylinder. The upper sliding table assembly is in sliding fit with the upper-layer sliding table linear guide rail; lower-layer sliding table linear guide rails are connected to the positions, located on the two sides of the lower-layer sliding table air cylinder, of the large installation plate and are lower than the upper-layer sliding table linear guide rails, and a lower sliding table assembly is connected to the upper portion of the lower-layer sliding table air cylinder in a driving mode and is in sliding fit with the lower-layer sliding table linear guide rails. The device can effectively improve the detection efficiency, and is compatible with the detection of blade cells with different sizes and different pole positions.

The application discloses a kind of based on cell image morphological identification's sheep estrus monitoring system, including its features in, including sample acquisition module (100) obtains sheep vaginal epithelial cell sample and carries out dyeing treatment to cell sample;Microscopic imaging module (200) carries out optical amplification to the cell sample after dyeing and generates cell morphology image;Image processing module (300) extracts cell edge contour and quantifies morphological irregular feature;Intelligent analysis module (400) is determined by the comprehensive analysis to nuclear deviation center proportion and morphological irregular index, judges sheep estrus state.The application has beneficial effect for proposing a kind of based on cell image morphological identification's sheep estrus monitoring system, by fusing the double morphological criterion of nuclear space displacement analysis and contour geometric distortion detection, realizes the high sensitivity capture to early estrus biological marker, significantly improves the timeliness and precision of reproduction control.

The invention discloses an ultrasonic image defect segmentation method based on a memory bank-patch denoising diffusion probability model, and belongs to the field of ultrasonic nondestructive testing. The method is an ultrasonic image unsupervised automatic segmentation method which is based on a memory bank and does not need labels, a defect-free image is adopted to train an unsupervised anomaly detection model, and the trained model is used to carry out automatic defect segmentation on a defect-containing image. According to the method, the anomaly detection capability is improved through the memory bank module, automatic segmentation of ultrasonic image defects can be realized on the premise that data does not need to be labeled, and excellent segmentation performance is obtained. According to the method, the dependence on a large amount of manual annotation data can be effectively relieved, and a more accurate solution is provided for automatic segmentation of ultrasonic image defects.