8results about How to "Raise the importance" patented technology

The invention relates to a port storage yard container storage time prediction method and device based on a self-attention mechanism, and the method comprises the steps: calculating the correlation degree between each characteristic variable and the storage time through gray correlation degree analysis; feature variables with high correlation are screened out based on the correlation degree to serve as prediction input, a complex dependency relationship and long program column features among modeling variables of the multi-head self-attention network are introduced, nonlinear mapping and fitting are achieved in combination with a full-connection network, and therefore the accuracy of a prediction result is effectively improved; in the model training process, a loss function with measurement monotonous consistency is designed, a constraint model keeps monotonous sequence consistency of output results on the premise that prediction precision is not lost, and the container turnover and secondary transfer risks caused by prediction sequence deviation in storage yard operation are reduced. And the model prediction performance is comprehensively evaluated from two dimensions of prediction precision and monotone consistency. According to the method, prediction precision and application practicability are both considered, and reliable time information can be provided for storage optimization of the container in the storage yard.

This invention discloses a heuristic dynamic memory weighting and recall reordering method, comprising six steps: initial impression value calculation, Ebbinghaus forgetting curve modeling, recall depth parameterization, multi-dimensional independent sorting, multi-dimensional result fusion, and recall-triggered impression value inversely proportional increment. This invention simulates the natural decay of memory through an 8-stage Ebbinghaus forgetting curve, achieves a recall-as-reinforcement effect through an inverse impression value increment mechanism, comprehensively considers semantic similarity, temporal freshness, and memory importance through multi-dimensional reordering, and flexibly adjusts the breadth and depth of recall through recall depth parameterization. This invention provides two forgetting curve implementation methods: discrete-stage lookup table method and continuous curve calculation method (including exponential decay type and power-law decay type), suitable for different application scenarios. This invention significantly improves the intelligence level and anthropomorphism of AI long-term memory systems, enabling AI to perform natural memory recall like humans.

The invention belongs to the technical field of market information visualization analysis, and discloses a market information visualization and analysis system based on a self-adaptive equivalent amplitude reference. The system comprises a data preprocessing fluctuation calculation module, a dynamic equivalence amplitude reference generation module, an equivalence line generation maintenance module, a chip distribution dynamic calculation module and a market form analysis module, and is characterized in that based on an original market data set, an equivalence line amplitude is adjusted to carry out adaptive calculation on an object market volatility to obtain a volatility data set; the method comprises the following steps: calculating and adjusting an equivalent amplitude reference value based on a volatility data set to obtain a multi-amplitude equivalent line sequence data set, obtaining an equivalent line sequence data set and a chip distribution data set according to a multi-amplitude equivalent line, and comprehensively analyzing data and visually displaying. The method has the remarkable advantages of high market analysis accuracy, high chip distribution timeliness and good market noise data filtering effect.

This application relates to the technical field of circuit devices for power supply or distribution. This application discloses an emergency power supply, comprising: a housing having a receiving space; a storage assembly disposed outside the housing, the storage assembly including a cover plate and a connector, the connector being disposed between the cover plate and the housing to create a storage space between the cover plate and the housing; and a gas supply assembly including a gas supply body and a gas supply pipe communicating with the gas supply body, the gas supply body being disposed within the receiving space, and the gas supply pipe being at least partially located outside the housing and capable of being stored within the storage space. The emergency power supply of this application achieves the storage and protection of the gas supply pipe through the storage assembly, improving the applicability and reliability of the gas supply assembly.

An exposure adjustment method and device, a computer readable storage medium and a terminal, the method comprising: extracting a subject saliency map in an original image; determining a target detection region based on the subject saliency map; determining the luminance values of each sub-region of the original image, the subject saliency map, the target detection region and a background region respectively; determining the weight values of each grid region in the original image, the subject saliency map, the target detection region and the background region respectively; performing weighted operation on the luminance difference values of the original image, the subject saliency map, each sub-region of the target detection region and the background region and the weight values of the corresponding grid regions to obtain a to-be-adjusted luminance difference value; and adjusting the exposure of a shooting device of the original image using the to-be-adjusted luminance difference value. The present application can improve the matching degree of the to-be-adjusted luminance difference value and the actual subject condition of the image, and improve the exposure adjustment accuracy.

The invention relates to the technical field of digital management, and discloses a digitized comprehensive management system and method for diabetes mellitus, and the system comprises an intelligent terminal and a cloud server side. The intelligent terminal comprises a user side, and the user side comprises a blood glucose health evaluation module used for evaluating the current blood glucose health state and complication risk of a user according to blood glucose health data and complication related data; the blood glucose health management module is used for intervening in daily blood glucose management of the user and evaluating the blood glucose health management level of the user; the my consultant module is used for a user to add a consultant, receive tasks and suggestions of the consultant and communicate with the consultant online; and the cloud server side is used for analyzing, processing, storing and transmitting the data from the intelligent terminal, and returning a processing result to the intelligent terminal for displaying. According to the method, multi-source heterogeneous data can be deeply fused, personalized health assessment and management can be carried out, the compliance of patients can be enhanced, and the risk of complications can be reduced.

This application provides a spectrum monitoring method and system, relating to the field of spectrum monitoring technology. The method includes: performing feature analysis on spectrum data collected by multiple monitoring terminals to generate spectrum feature values; calculating anomaly indices for each spectrum data based on the spectrum feature values; generating a first compression scheme for the spectrum data by combining the terminal characteristics and anomaly indices of each monitoring terminal; adjusting the first compression scheme based on the location information of each monitoring terminal to generate a second compression scheme; adjusting the second compression scheme based on the historical data acquisition quality of each monitoring terminal to generate a target compression scheme; compressing the spectrum data collected by each monitoring terminal using the target compression scheme to generate target spectrum data; determining storage priorities based on the spatiotemporal aggregation degree of each target spectrum data; and hierarchically storing the target spectrum data according to the storage priorities. The technical effect of this application is: accurate compression of spectrum data, reducing the waste of storage resources.

The application belongs to the technical field of edible fungus physiological characteristic detection, and discloses a determination method and application of reed coprinus micaceus mycelium aging, which quantitatively evaluates the aging degree of mycelium by detecting the changes of carboxymethyl cellulase (CMC) enzyme activity and TTC (triphenyltetrazolium chloride) reductase activity in the reed coprinus micaceus mycelium. The application quantitatively determines the aging degree of the reed coprinus micaceus mycelium by establishing double-enzyme activity indexes. The CMC enzyme activity directly reflects the nutritional acquisition ability of the reed coprinus micaceus mycelium, and the TTC enzyme activity indicates the overall vitality of cells, so that the combination of the two can comprehensively capture the aging characteristics and avoid the limitations of a single index.