8results about How to "Increase computing speed" patented technology

The present application relates to a kind of lake reservoir type chlorophyll concentration prediction method, device and medium, method includes the following steps: obtaining the water quality, water dynamics and weather of the online automatic monitoring data of lake reservoir including forecast point and upstream point;The online automatic monitoring data is preprocessed, and the data after processing is obtained;The data after processing is carried out feature extraction to obtain the water quality feature and water dynamics index feature of forecast point and upstream point, and construct cumulative illumination feature;Upstream water quality feature, water dynamics index feature and illumination feature are input into the fusion prediction model pre-trained, to obtain upstream transport chlorophyll prediction result and time series influence chlorophyll prediction result, using error reciprocal method upstream transport chlorophyll prediction result and time series influence chlorophyll prediction result are fused;The chlorophyll prediction result obtained by fusion is output.Compared with prior art, the present application has the advantages of high accuracy, strong stability and the like.

This invention discloses a partial discharge (PD) signal denoising method based on image information entropy and multivariate variational mode decomposition (MMD). The method involves converting the noisy signal into a grayscale image, calculating the image information entropy, and optimizing the number of modes K in the MMD by combining Pearson correlation coefficient and execution efficiency to determine the optimal value. The noisy PD signal is then decomposed. The kurtosis value of each intrinsic mode component is calculated, and the nature of the mode component is determined based on a threshold, classifying it as either a dominant PD component or a noise component. A mathematical statistical method using the 3σ criterion is employed to filter out normally distributed white noise. The reconstructed signal is then denoised using an improved wavelet thresholding method to obtain the denoised PD signal. This denoising method accurately reduces noise in noisy PD signals, achieving good noise suppression and restoring the waveform characteristics of the PD signal while maintaining high execution efficiency.

The water-fat separation method, system and terminal for magnetic resonance imaging of the present application obtain the corresponding water-fat separation result according to the echo complex image data through the water-fat separation model based on the deep learning and the traditional model segmentation combination. The present application optimizes the precision of the field map extraction, improves the stability and calculation speed of the water-fat separation, at the same time, retains the constraint force of the traditional algorithm on the output result, and maximizes the consistency of the output result and the original signal.

The invention relates to a rectangular coordinate-to-polar coordinate conversion method and device based on an LUT and CORDIC hybrid architecture. The method comprises the following steps: S1, sector folding preprocessing; s2, performing coarse rotation iteration; s3, generating a dynamic address; s4, a compression lookup table is queried; and S5, data compensation and reconstruction. According to the method, a small amount of CORDIC iteration is introduced to rotate the input vector to a very small angle range, so that the input space required to be covered by a subsequent lookup table is greatly compressed; meanwhile, the bit width and the address depth of a storage value in the LUT are remarkably reduced by combining module value residual storage and a dynamic truncation technology, so that the storage resources of the LUT are greatly reduced on the premise of ensuring the precision, and the hardware implementation cost is lower.

This application discloses an adaptive optimization method and system for thermal coupling parameters of automotive backlight panels, relating to the field of parameter simulation optimization technology. The specific implementation scheme is as follows: A full-envelope operating condition script is compiled; a thermal model and thermal coupling parameter set are imported; thermal simulations are automatically run in batches sequentially using the full-envelope operating condition script; raw datasets for each operating condition segment are collected; risky operating condition segments are screened; thermal coupling parameter perturbation groups are applied to each risky operating condition segment; high-risk operating condition segments are identified; parameter inversion is performed on each high-risk operating condition segment; and the thermal coupling parameter update strategy for each high-risk operating condition segment is determined, along with the optimal thermal coupling parameter version. This invention can improve the prediction accuracy of the thermal model under complex or extreme operating conditions, thereby avoiding problems such as underestimated junction temperature peaks, distorted hotspot locations, and drifting temperature rise rates. This provides a scientific and reliable data basis for the structural design, safety margin setting, and temperature control strategy optimization of automotive backlight panel radiators.

This invention discloses a method for calculating the equivalent model of the radar cross-section of a large ship target, comprising the following steps: establishing a three-dimensional geometric model of the large ship target; establishing a virtual electromagnetic wave incident aperture surface approaching infinity based on the target geometry, and discretizing the aperture surface to obtain individual ray tubes; tracking the reflection direction of each ray tube on the target surface until the ray leaves the target surface; calculating the scattering field of each ray tube in the receiving direction, and superimposing the scattering fields of all ray tubes to obtain the total scattering field of the target; plotting the horizontal cross-section and vertical gain diagram of the ship target based on the calculated target radar scattering gain at typical horizontal azimuth and vertical elevation angles; and calculating the radar cross-section of the ship target when detected by radar equipment in different directions based on the target radar scattering gain diagram using interpolation formulas. This invention improves the calculation accuracy and speed of scattering of large ship targets, and is helpful for the stealth assessment of large ship targets.

This application belongs to the field of hydraulic systems, and specifically relates to a rapid calculation and application method for spatiotemporally distributed pulsating pressure in hydraulic pipelines. It assumes that the pressure value is the same at all locations on the inner wall of the hydraulic pipeline cross-section, and the cross-sectional pressure is controlled only by the distance from the intersection of the cross-section and the pipeline control spline to the pipeline inlet. The control points belonging to the pipe wall nodes are obtained, and a spatiotemporal distribution function of the pipe wall pressure is established based on the coordinates of the discrete control points and the spatiotemporal distribution of the pulsating pressure. The transient response of the pipeline is calculated based on the spatiotemporal distribution function of the pipe wall pressure, yielding the pipeline's time-domain response. Utilizing the spatiotemporal distribution characteristics of hydraulic pulsations, the spatiotemporally related pressure distribution along the pipeline streamline direction is calculated, and then rapidly applied to the pipeline finite element model. This method omits the unsteady CFD calculation of the flow within the pipeline and allows for rapid application of a spatiotemporally coupled pressure load field to the pipeline finite element model, improving the computational efficiency and iteration speed of the initial design phase of aircraft pipelines.

The application relates to a semantic segmentation and stereo matching method and framework based on multi-task joint learning, which comprises the following steps: acquiring stereo image pair information, wherein the stereo image pair information comprises a left image and a right image; based on the left image and the right image, shared features are extracted by using a joint encoder, and a preliminary disparity map is obtained by calculating a disparity; based on the shared features, the preliminary disparity map is updated by updating the disparity, so that a refined disparity map is obtained, wherein the refined disparity map is a stereo matching result; the shared features are converted to a semantic space, and feature fusion is performed with the refined disparity map, so that fused features are obtained; and based on a densely connected skip connection decoder, the fused features are decoded, so that a semantic segmentation result is obtained. Compared with the prior art, the application has the advantages of improving real-time performance, low data requirement and the like.