7results about How to "Resolve slow performance" patented technology

The utility model provides an LED drive circuit with a night lamp function. The LED drive circuit comprises a compatible dimming chip, a constant current chip, a switching module, a main light source module and an auxiliary light source module. The power supply input end of the compatible dimming chip is used for being connected with an external power supply; the high-voltage end of the compatible dimming chip is connected with the high-voltage end of the constant-current chip and the power input end of the switching module. The compatible dimming chip is used for compensating the bleeder current according to the type of the accessed dimmer; the first output end of the switching module is connected with the main light source module; the second output end of the switching module is connected with the auxiliary light source module. The signal input end of the switching module is connected with an external power supply, generates a switching signal based on the switching state of the external power supply, and switches the main light source module or the auxiliary light source module according to the switching signal; therefore, the loss of a single chip is reduced, and the chip is effectively prevented from heating due to excessive loss.

The application discloses a domain name resolution method and device based on domain name request risk management and control, the method comprises the following steps: identifying domain name requests as normal domain name requests or abnormal domain name requests; according to the user domain name access behavior data set and the abnormal domain name association strength, evaluating the security rating and the security score of the user; sending the normal domain name requests initiated by users with different security ratings to the DNS server subset cluster corresponding to their levels, so that the DNS server subset cluster of the level responds to the normal domain name requests in order based on the security score; predicting the normal domain names with high probability of access to form a domain name resource list, which is used to cache the domain name resource list to the selected DNS server when the security rating of the user is higher than the set threshold, so as to improve the domain name resolution cache hit rate and the resolution efficiency. The application solves the problem of reduced performance of the domain name server caused by the low utilization rate of the conventional DNS server due to the zombie network attack.

This invention discloses a semiconductor device and a method for forming the same, wherein the semiconductor device includes: a semiconductor substrate; a gate structure located on the semiconductor substrate; a source region and a drain region located in the semiconductor substrate and on opposite sides of the gate structure; a sacrificial oxide layer located on the semiconductor substrate; a contact etch stop layer located on the sacrificial oxide layer; a lower interlayer dielectric layer located on the contact etch stop layer; a high-resistivity dielectric layer located on the gate structure and the lower interlayer dielectric layer; and a high-resistivity field plate, wherein the high-resistivity field plate is at least partially located on the high-resistivity dielectric layer.

The invention provides a stock prediction model online integration method and system based on resampling distribution estimation. The method comprises the steps of obtaining a basic model prediction result and stock data; a time sequence feature extractor based on a recurrent neural network extracts time sequence features; a resampler based on feature similarity carries out resampling on each sample formed by the time sequence features and the basic model prediction errors, and a resampling weight is distributed to each sample; calculating joint probability distribution parameters of time sequence features and basic model prediction errors on the resampling set to obtain a linear integrated weight generator; a linear integration weight generator is used for generating combination weights of different basic models on the data, and a final model integration prediction result is obtained; and calculating prediction loss according to the label prediction value and the label true value, and optimizing the feature extractor and the resampler. According to the method, the problem of model performance reduction caused by data distribution deviation between the training data set and the prediction data set is solved.

The utility model discloses a blank holder for an end socket of a pressure vessel, relates to the related field of pressure vessels, and aims to solve the problems that the blank is stressed, stretched and deformed under the action of a male die and a female die, so that the middle position and the peripheral position of the blank are stretched, deformed and stressed differently, but the blank is pressed and fixed by the blank holder. In order to achieve the tensile deformation effect, the acting force needs to be increased, and the acting effect of the blank holder is weakened. An upper-layer inner blank holder is arranged in the upper-layer outer blank holder, and a lower-layer blank holder is arranged at the lower ends of the upper-layer outer blank holder and the upper-layer inner blank holder; and the lower-layer blank holder comprises a third main ring body, rectangular grooves are formed in the inner side of the lower end face of the third main ring body in an annular array mode, auxiliary rotating rollers are rotationally connected into the rectangular grooves, and the auxiliary rotating rollers rotate inwards.

The invention relates to a PLC platform embedded LPV prediction control method and device and computer equipment, and the method comprises the steps: collecting the scheduling parameters and output measurement values of process equipment in real time; determining a corresponding discrete matrix according to the scheduling parameters and a pre-constructed structured data table; determining an adjusting signal according to the output measurement value and the discrete matrix; collecting an input signal and output response data of the process equipment; constructing a continuous system model corresponding to predefined scheduling parameters according to the input signal and the output response data; performing discretization calculation on the continuous system model to obtain a target discrete matrix set; and constructing a structured data table according to predefined scheduling parameters and the target discrete matrix set. According to the method and the device, the problem of performance reduction caused by discrete matrix online calculation in related technologies is solved, and the performance of the prediction control method is improved in a computing power limited scene.

The invention is suitable for the technical field of respiratory support equipment, and relates to a method and system for qualitatively analyzing flow through the temperature difference before and after a heating pipeline, and the method comprises the following steps: S10, obtaining a first temperature value T0 at the inlet of the heating pipeline and a second temperature value T1 at the outlet of the heating pipeline; s20, the temperature difference delta T is calculated according to the formula: delta T = T1-T0; s30, the gas flow is divided into a plurality of qualitative gears according to the relation between the temperature difference delta T and a preset threshold value; and S40, the heating power is adjusted according to the qualitative gear. The method is simple in process and convenient to operate, the gas flow in the pipeline is qualitatively judged according to the temperature difference between the front temperature sensor and the rear temperature sensor of the heating breathing pipeline, and therefore the defect that the humidifier cannot actively obtain the flow is overcome.