31results about How to "Solve the slow calculation" patented technology

Examples of the present invention provide a shooting focus method and mobile terminal, where the method is applied to a mobile terminal with radar device, including: determine the target object after starting the camera;The target distance value of the camera is focused.In this way, the embodiments of the present invention obtain the distance value of the target object to the camera through the radar device, and then focus on the target object according to the distance value.Because the radar device uses electromagnetic waves to calculate the distance of the target and object characteristics, it is not limited to the brightness of environmental light.It can be seen that the shooting focusing method of the embodiment of the present invention achieves the purpose of accurate focusing on weak light conditions.

The invention relates to a photovoltaic power supply included distribution network reconfiguration method considering multidimensional safety constraints. The method comprises the steps of 1, collecting modeling parameters of a target distribution network; 2, collecting preset time T-day historical data of the output of a photovoltaic power plant in a target area, conducting a cluster analysis ona photovoltaic output curve to determine an optimal cluster number N, and obtaining a cluster center Z0 of the N typical photovoltaic output scenarios as an output curve of the corresponding output scenario; 3, determining a load demand scenario and a typical photovoltaic output scenario curve, and based on distribution network security domain indicators, constructing a photovoltaic distribution network reconstruction mathematical model considering multi-scenario N-1 safety constraints; and 4, using a genetic algorithm to solve the photovoltaic distribution network reconstruction mathematicalmodel considering the multi-scenario N-1 safety constraints, and obtaining an optimal reconstruction scheme for the photovoltaic distribution network. The method of the invention improves the safety domain theory of the distribution network, makes the N-1 safety constraints of the photovoltaic distribution network a part of the network optimization reconstruction model, and avoids the problem of slow calculation speed caused by a point-by-point simulation method.

The invention discloses an image distortion correction method, comprising the following steps of: (10) obtaining the data of an original image; (20) establishing an corrected image; (40) measuring the red value, green value and blue value of a pixel on the corrected image; and (50) establishing an corrected image: returning to step (30) until the red value, the green value and the blue value of each pixel on the corrected image are measured, thereby establishing the corrected image. Under the condition that the image distortion coefficient is known, each pixel on the distortion corrected image is inversely measured to obtain the position of the pixel in the original image, and then the red, green and blue color values of the pixel are measured by bilinear interpolation. The correction process is simple and efficient.

The invention relates to an action classification method based on joint point space-time simple loop network and attention mechanism. First, the ordinary SRU model is extended to the space dimension, and a ST-SRU model that performs iterative calculations in both time and space dimensions is designed. Then, based on the proposed ST‑SRU model, the global context attention mechanism is introduced, and the GCA‑ST‑SRU method is proposed. Finally, the proposed method is used for human behavior recognition. First, the features of human joints are extracted by deep network, and then the extracted features are recognized by GCA‑ST‑SRU method. The method of the invention can reduce training time consumption and improve classification accuracy, and has obvious efficiency advantages. The rapid inference speed of the method of the invention is beneficial to the design of a real-time action recognition system, is suitable for running on a platform with limited computing power, and has broad application prospects in the fields of computer vision, intelligent monitoring, human-computer interaction and the like.

The invention discloses a measurement and calculation method of a turbine shaft system center. The measurement and calculation method comprises the following steps: firstly, carrying out modeling on a turbine shaft system before repair, and measuring the center number value of the turbine shaft system before repair, the length of each rotor and the diameter of the rear clutch of each rotor to obtain the modeling data of the turbine shaft system before repair; then, according to the modeling data of the turbine shaft system before repair, calculating the adjustment amount of each rotor clutch; and taking the adjustment amount of each rotor clutch as an intermediate value to calculate to obtain the adjustment amount of a corresponding rotor bearing so as to calculate the adjustment amount of a corresponding bearing regulation spacer according to the adjustment amount of each bearing and the position of each adjustment spacer. Firstly, the center number value of the turbine shaft system before repair is measured, the adjustment amount of each rotor clutch is calculated, the adjustment amount of each rotor clutch is taken as the intermediate value to calculate the adjustment amount of the corresponding bearing, an influence value on a rear clutch opening value after the rotor bearing is regulated does not need to be measured and calculated, measurement and calculation can be well organized, and a measurement and calculation amount and measurement fault possibility are effectively reduced.

The invention discloses an airborne single baseline Doppler-phase difference direction finding method by which an entire cycle solution of a radial distance can be directly obtained through comprehensively utilizing the relation among a speed vector equation, a Doppler frequency shift and a change rate, therefore, an entire cycle value of a path difference between radial distances of two adjacentarray elements of single baseline can be obtained. The path difference is entirely determined after the value of a non-entire cycle part of the path difference is determined by further utilizing a phase difference. Hence, under the condition that the length of the baseline is determined, the direction of an object can be directly obtained according to a trigonometric function relationship. The invention has a series of advantages of low installation requirement, short measuring time, suitability for bandwidth detection, and the like.

The invention belongs to the field of data processing, and in particular relates to a target recognition method and system based on multi-source spatio-temporal data assembly. The present invention includes a space normalization module, a time normalization module, a data standardization module for standardizing raw data, a heterogeneous data connection module, an assembly initialization module, a group combination counting and matching result judging module, and a result The verification module and historical data connection and generation verification module use the above modules to normalize the spatial characteristics of information sources, standardize the space and time dimensions of data from different sources, and set its data identification code driven by a selected data source As a keyword, the data identification codes from other data sources that appear at the same time and at the same place will be integrated and counted. The present invention adopts the method of splitting calculation first and then merging results to calculate step by step, processes massive data, has high adaptability to equipment performance, flexible calculation, high real-time performance and accurate results.

The invention discloses a quick feedback analyzing system in a tunnel constructing process. The system adopts a scheme: understanding currently adopted designing construction parameters; establishing a tunnel excavation three-dimensional finite element numerical grid calculation model; acquiring surrounding rock layering and convergent displacement monitoring information after a tunnel is excavated; establishing a non-linear support vector machine model; fixing an anchoring parameter according to the actual construction parameter, and optimally identifying rock mechanic parameters by adoptinga differential optimization algorithm; optimizing the construction parameter of an anchoring scheme by adopting a differential evolution algorithm; and optimizing the rock mechanic parameters by calling the differential evolution and optimization algorithms to further solve the construction parameter of the anchoring scheme, and outputting the construction parameter of the optimized anchoring scheme as a construction scheme through a computer display screen to guide the constructors to construct. The quick feedback analyzing system ensures that the monitoring information is used for optimizing the anchoring parameter while being used for identifying the surrounding rock parameters, so that the dynamic information construction is improved to a level of quantitative analysis.