32results about How to "Excellent calculation speed" patented technology

The invention discloses a computing method for improving small signal stability and providing aid decision making, which is suitable for computation of output power adjustment measures of units for improving a plurality of dampers in weak damping modes under the determined mode of operation. The method is characterized by considering the weak damping modes and the modes close to safe damping threshold while determining the coordination control properties of the units, selecting the units with larger participation factors in the weak damping modes to participate in output power adjustment, dividing the units participating in output power adjustment into two groups according to the unit mode information in each mode, determining the output power adjustment directions of the two groups of units by a method of perturbation of power, determining the output power adjustment directions during coordination control by combining the participation factors and the output power adjustment directions of the units in different modes, computing the output power adjustment measures of the units for improving the dampers in the single mode by a sensitivity method, checking the combined control measures by computing the eigenvalues in the given range to determine the effectiveness of the control measures and giving the output power adjustment measures of the units for coordination control of a plurality of weak damping modes.

The present invention proposes a pose measurement method based on semantic segmentation and Kalman filtering under monocular vision, which includes calibrating the measurement site; taking pictures of the measurement objects and making data sets for semantic segmentation training; the trained model Realize image positioning, and combine the mathematical model in this paper to realize position and attitude measurement. The invention is based on monocular vision measurement and semantic segmentation, and can adapt to various objects with known width and unknown height, and related parameters are optimized by Kalman filter, so that positioning can be realized quickly and accurately.

The invention discloses a binocular three-dimensional ranging method for a bionic underwater robotic fish. The matching algorithm of SGBM can not only obtain more effective depth points, but also be superior to the algorithm of SIFT feature extraction and matching in terms of calculation speed; at the same time, in the water In the case of severe light attenuation in the lower scene, the image binocular distance measurement with higher precision in the short distance is used, combined with the long-distance sonar detection method; it not only makes up for the lack of interference of the sonar short-distance flow field, but also reduces the lack of light received by the long-distance binoculars to achieve high-precision underwater obstacle avoidance detection.

The invention provides a method for quickly predicting a directional diagram of a microwave antenna under the occlusion of a near-field complex barrier. The method specifically comprises the following steps: 1) approximating near-field properties of the microwave antenna based on expansion of a spherical surface wave source: by taking an origin of coordinates as a center of circle, making a smallest sphere surrounding a to-be-predicted antenna, wherein an antenna field represents weighted sum of vector wave functions in a space outside the sphere, and an electric field intensity vector and a magnetic field intensity vector are used for expression, so that a radiation near field of a reflector antenna is approximated as the expansion of the spherical surface wave source; 2) constructing a simulation scene by the expanded spherical surface wave source and a complex barrier model, wherein the complex barrier model has coexistence complexity of a dielectric material and a metal material; and 3) performing simulation calculation on the simulation scene constructed in the step 2) with a geometric optical method to obtain a directional diagram curve. According to the method, the problem of near-field occlusion can be solved, the material range is relatively wide and the electric dimension is relatively high in problem solving, the calculation speed is remarkably higher than that in a conventional method, and a prediction result is relatively matched with a test result.

The invention belongs to the technical field of manufacturing of integrated circuit semiconductor and provides a heuristic method for the dummy fill of a chemical mechanical polishing process. In the method, the dummy fill problem of the minimum dummy metal number is expressed as a standard linear programming problem and then a heuristic algorithm for dynamically increasing the dummy metal density in a grid is provided for solving the minimum dummy fill problem. In the method, the density value of dummy metal filled in the to-be-filled grid is dynamically determined during each optimization process according to a grid density cost function and approximation precision; meanwhile, the increment of the dummy metal density in the grid during each iteration is adjusted through an approximate constant epsilon; thus the compromise of the final result precision and the calculation speed can be realized. The method has high feasibility, extremely high-efficiency processing speed, superior calculation speed and result precision to those of the popular Monte-Carlo method and can be used for solving the large-scale territory dummy fill problem.

The application discloses a blood flow reserve fraction calculation method, device, electronic equipment and readable storage medium. The method provided by this application determines the pressure drop prediction value through the arterial characteristic parameters after dimension reduction, so compared with the calculation method of three-dimensional fluid dynamics, the calculation speed is faster, and the pressure drop correction value prediction processing is performed on the pressure drop prediction value to obtain The correction value of the pressure drop corrects the predicted value of the pressure drop, which overcomes the inaccurate shortcomings of the predicted value of the pressure drop. Therefore, the whole process of calculating the blood flow reserve fraction not only ensures that the calculation speed is better than the traditional method, but also ensures the blood flow obtained in the final calculation. Reserve scores are highly accurate.

The invention relates to a CT (Computerized Tomography) image metal track prediction and artifact reduction method based on integral cosine. Aiming at metal area part cutting in a metal artifact reduction algorithm, compared with a common threshold algorithm which uses original sinogram data to reestablish images, then cuts an image domain into metal pixels and finally projects the cut metal pixels onto a sinogram domain to position a metal track, the CT image metal track prediction and artifact reduction method based on integral cosine firstly obtains various projection tracks according to a cosine projection relationship, projections on each track are added and values which are greater than a threshold are regarded as values corresponding to metal, so that the metal track is obtained. The CT image metal track prediction and artifact reduction method based on integral cosine has the advantages that the original images are not required to be reestablished, the time is greatly saved, the accurate positioning of metal areas in images is kept as much as possible and artifacts introduced in the reestablished images are ensured to be as few as possible. According to results, the CT image metal track prediction and artifact reduction method can be used in a metal artifact reduction algorithm of CT medical images and the metal artifact reduction effect of the repaired images is better.

The invention discloses a method for detecting a Spiking corner point based on a grayscale image, which belongs to the technical field of image processing and focuses on solving the problems of low corner point detection accuracy, complicated operation and slow detection speed in the prior art. The present invention mainly utilizes the characteristics of the Spiking neural network to invent a detection template to detect the corner information of the image, and determine the corner of the gray image by the characteristic that the voltage value of the detection template reaches the minimum when the voltage value is at the corner. points, the present invention can better detect the corner points of the image, and extract the time information and spatial information of the corner points of the grayscale image. The application scenarios of the present invention are mainly in image corner detection, character object tracking and recognition, motion estimation and other computer scenarios where corner information is applied. Involves Spiking neural network, machine learning.

The invention discloses a tamper-proof signature algorithm for a large amount of data in the Internet of Vehicles. The algorithm uses a combination of a chain storage structure, a hash digest algorithm and a CBC-MAC algorithm to store locally stored data in the Internet of Vehicles, such as vehicle speed and GPS. Anti-tamper protection for large batches of data generated in equal cycles. The algorithm stores the batch data in files according to the data generation time, and connects the files through the header data signature algorithm to realize the chain storage structure; connects the data frames in the same file through the non-header signature algorithm. This algorithm adds AES encryption operation to avoid the risk of packet replacement attack; and this algorithm only needs to perform AES and SHA256 once, and the calculation speed is better than CBC-MAC. Through the above algorithm, no matter whether the attacker deletes the last piece of data or modifies the content of the last piece of data, he can detect it through the signature check of this group of data. Through this algorithm, the tamper-proof signature and authentication of the original data frame can be realized, which has stronger security and higher computing efficiency.

The invention discloses an embedded IP soft core based on a PLB bus and a calculation method for calculating a rotation angle. The calculation IP soft core includes a main control module, a PLB bus timing conversion module, a configuration register module, and a lookup table RAM module. , FIFO module, quadrant conversion module and several iterative modules; multiple iterative modules form a multi-stage pipeline structure, and the iterative module feeds back the output to the input to realize multiple iteration functions. The calculation of the rotation angle adopts a feedback pipeline structure, that is, feedback first and then pipeline The "true" pipeline structure converts the sine and cosine values ​​of single-precision floating-point type into single-precision floating-point angle values, and connects with the on-chip processor through the on-chip bus PLB bus, which is superior to " The "pure" feedback iterative structure and the "pseudo" pipeline structure with pipeline first and then feedback are superior to the "pure" pipeline structure in occupying resources, and are superior to traditional designs in terms of portability in embedded systems.