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

The invention relates to an action classification method based on a connection node spatio-temporal simple circulating network and an attention mechanism. Firstly, the space dimension of SRU model isextended, and an iterative computation method of ST-SRU model. Then, in the proposed ST-SRU model and global contextual attention mechanism, GCA-ST-SRU method. Finally, the proposed method is appliedto human behavior recognition. Firstly, the features of human joints are extracted by depth network, and then the human joints are extracted by GCA-ST-SRU method recognizes the extracted features. Themethod of the invention can reduce training time consumption and improve classification accuracy, and has obvious efficiency advantages. The method of the invention can quickly deduce the speed, which is favorable for the design of the real-time motion recognition system, and is suitable for running on the platform with limited computing power, and has wide application prospect in the fields of computer vision, intelligent monitoring, human-computer interaction and the like.

The invention discloses a method for transmitting ephemeris data during RTK measurement, which is applied to a mobile receiving station and comprises the following steps: receiving ephemeris data withpreset time length every preset transmission period and transmitting the ephemeris data to a real-time dynamic carrier phase difference partial positioning RTK measuring and calculating station; theRTK measuring station carries out RTK measurement according to ephemeris data and other navigation information data; wherein the preset time length is not less than the time for the satellite to transmit the complete ephemeris data once, and the preset transmission period is greater than the preset time length and is not greater than the ephemeris minimum updating period in the current satellite system. The method for transmitting ephemeris data during RTK measurement reduces the repeated data transmitted to the RTK measuring and calculating station by the mobile receiving station, thereby reducing the data volume transmitted by the mobile receiving station, improving the RTK measuring and calculating speed and enabling the same transmission bandwidth to accommodate more data transmitted by the mobile receiving station, thereby increasing the number of mobile receiving stations that the data link can accommodate to transmit data. The invention further discloses a mobile receiving station and an RTK measuring system based on the 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 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 adjacent array 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 embodiment of the invention provides a photographing focus method and a mobile terminal. The method is applied to the mobile terminal with a radar device. The method comprises the steps of determining a target object after a camera is started; and carrying out focus according to a target distance value obtained by the radar device from the target object to the camera. In this way, according to the embodiment of the invention, the distance value from the target object to the camera is obtained through the radar device, and the focus is carried out on the target object according to the distance value. Information such as the distance to the target and an object feature is calculated by the radar device through utilization of an electromagnetic wave, so the influence of environment illumination brightness is eliminated. Visibly, according to the photographing focus method provided by the embodiment of the invention, the focus is carried out accurately under a weak light condition.

The invention discloses a digital shot blasting coverage rate measurement method based on a computer vision technology, and belongs to the technical field of digital image processing. The method comprises the steps of image acquisition, gray scale conversion, noise elimination, region segmentation, binarization processing, filling, pseudo connection elimination and statistics, and image processingfor surface dents after shot blasting of a plate. A computer program is adopted for shot blasting image processing, the consistency of multiple times of measurement is guaranteed, the measurement error is controlled within 5%, the measurement and calculation speed is high, the method does not depend on personal experience, the compatibility with other computer-aided manufacturing equipment is good, the portability is good, and possibility is brought to detection feedback link work in automatic shot blasting control circulation.

Provided are a distributed power marketing strategy method and system based on big data. According to the method, by using the broadband carrier of an electricity information collection system to achieve automatic meter reading, meter number data is transmitted back in real time. By conducting distributed processing on user profiles, electricity price number, distribution data, meter number and other big data information, electric charge measurement is completed. By conducting distributed processing on marketing strategy management and an electric charge measurement result, strategy application is generated. Finally, strategy execution on a marketing strategy application result is completed, and an execution result is fed back. The method includes the steps of using the broadband carrier to conduct meter number data collection, distributed-electric charge measurement of the big data and distributed processing, and thus generating the marketing strategy application result, an executionstrategy application and a returned strategy execution result. According to the technical scheme, the problems that traditional power marketing strategy is not high in automation degree and poor in performance are solved, and the distributed processing mode base on the big data is used in power marketing strategy processing, so that the power marketing industry personnel' working efficiency is greatly improved.

The invention discloses a cable section structure measuring and calculating method. The cable section structure measuring and calculating method comprises the steps that an image of the cable sectionis obtained; the image is binarization-processed, and a corresponding grayscale image is obtained; according to pixel points of the grayscale image, a calculation section parameter corresponding to the cable section is determined, and the calculation section parameter comprises the insulation layer thickness, the shielding layer thickness and/or the insulation layer eccentricity degree; and the calculation section parameter is converted to an actual section parameter of the cable section by using image conversion coefficient. According to the cable section structure measuring and calculating method, the actual section parameter of cable section can be obtained directly through image processing, cables do not need to be sliced up, therefore, it is not necessary to consider influence of theslicing technology on the measuring and calculating accuracy, the measuring and calculating speed is much higher than the speed of a laboratory measuring and calculating method, the time required forinspection is greatly shortened, all cables can be inspected, and reliability of the whole batch of the cables is improved. The invention further correspondingly discloses a cable section structure measuring and calculating system and device, and a readable storage medium.

The invention discloses an air conditioner cooling load prediction method and system considering data characteristics after frequency domain decomposition. The method comprises the following steps: taking factors of which the load sequence importance is greater than a set threshold value as input variables; decomposing an original load sequence into two intrinsic mode functions IMF1 and IMF2 and an error sequence ERR by using a variational mode decomposition technology; establishing a least square support vector machine prediction model for the intrinsic mode function IMF1 to obtain a prediction component of an IMF1 subsequence; establishing an extreme gradient boosting decision tree prediction model for the intrinsic mode function IMF2 to obtain a prediction component of an IMF2 sub-sequence; performing normal fitting on the probability distribution of the error sequence ERR showing the Gaussian noise part to obtain a prediction component of a sub-sequence of the error sequence ERR; and superposing the prediction component of the IMF1 sub-sequence, the prediction component of the IMF2 sub-sequence and the prediction component of the error sequence ERR sub-sequence, and outputting to obtain a final cold load prediction value. According to the method, the prediction precision under the environment noise condition is improved, and the method has the practical engineering application background and important practical significance.

The invention relates to the technical field of pull-up counting, in particular to a pull-up counting method based on image difference, which comprises the following steps: an athlete image acquisition step: acquiring a human body image of an athlete by adopting a camera, and preprocessing the acquired human body image to obtain a grey-scale map; and a background image extraction and real-time updating step: taking the smooth image of the grey-scale image in the athlete image acquisition step as a reference background image, comparing the contour of the current frame with the background contour, calculating the difference between the current frame and the reference background image, obtaining a difference image, and performing real-time updating. According to the method, the inter-frame difference image processing technology is adopted, the head area of the human body and the real-time position of the horizontal bar during pull-up are detected, positioning is simple, the problem that the calculation speed is low due to the fact that the calculation amount of pull-up is large is solved, and the effect that the number of pull-up completed by an athlete is calculated in real time is achieved.

The invention provides an epileptic seizure automatic detection system based on 1D-LBP and fuzzy logic classification, and the system comprises an electroencephalogram signal preprocessing module which is configured to segment an obtained electroencephalogram signal by taking a set time length as a unit, and carries out the filtering processing; the feature extraction module is configured to extract one-dimensional signal uniform local binary pattern texture features on the electroencephalogram signals represented by time-frequency; the classification module is configured to use a pre-trained fuzzy logic classifier to classify the extracted information and determine whether epileptic seizure occurs or not, and the classification distance of the fuzzy logic classifier is selected according to specific conditions; according to the method, the defect of low efficiency of epilepsy detection in the prior art is overcome, redundant information can be effectively eliminated, key information can be effectively extracted, the false detection rate in epilepsy detection is reduced, the speed is high, and the detection accuracy is high.

The invention discloses a weapon go-through analysis method, terminal equipment and a computer readable storage medium, and the method comprises the steps: obtaining the basic information data of allchess pieces under the same three-dimensional coordinate system, and the basic information data comprises a go-through range; determining instruction chess pieces, and determining all enemy chess pieces in the intervisibility range of the instruction chess pieces according to the instruction chess pieces; taking the instruction chess piece as an original point, and emitting a ray to all enemy chess pieces in the intervisibility range of the instruction chess piece; judging whether the rays collide with the enemy chess pieces or not, and if yes, instructing the chess pieces to be seen through with the collided enemy chess pieces. According to the method, the problems of slow intervisibility calculation and low efficiency in traditional weapon chess deduction are solved, the calculation frequency is reduced, the time is saved, the intervisibility result of the chess pieces can be obtained in a shorter time, and the calculation efficiency and accuracy are improved; meanwhile, the method is simple in overall operation, and CPU resource consumption and memory occupation of the intelligent equipment are reduced.

The invention relates to the technical field of signal processing, in particular to a phase unwrapping algorithm based on double counters, which comprises the following steps of: calculating a difference value between a front phase and a rear phase, judging whether the difference value is greater than a threshold value of phase truncation, adding 1 to a corresponding counter if the difference value is greater than the threshold value, and judging the relative size of the counter if not; subtracting the counter with the small numerical value from the counter with the large numerical value, assigning a result to the counter with the large numerical value, setting the numerical value of the counter with the small numerical value to be 0, calculating a difference value of the two counters, and performing first-step compensation on the phase. Calculating the difference between the current phase value and the rear phase value as well as the difference between the current phase value and the front phase value, comparing the difference results of the phase values with a threshold value, and if the difference results of the phase values are greater than the threshold value, subtracting two times of the threshold value from the current phase value; if the numerical difference results are all smaller than the threshold value, the current phase value is added with two times of the threshold value, otherwise, the current phase value is kept unchanged, the problems that a phase unwrapping algorithm is low in speed and high in complexity are solved, and the phase unwrapping algorithm is suitable for an FPGA platform at the same time.