8 results about "Continuous scale" patented technology

The application discloses a kind of for mixed cresol separation continuous amplification production process and method, belong to mixed cresol separation and purification field.This process solves the problem of low flow, difficult to control, temperature-resistant equipment selection difficult in early stage working condition exploration, proposes the design concept of "breathing mouth".Further, a kind of "exogenous" online detection system can effectively avoid the influence of analysis results due to excessive flow temperature, excessive pressure, high concentration, reduce the complexity of structure design;For the problem of large amount of desorbent, an efficient desorbent extraction system is proposed, which can realize efficient recovery of desorbent and separation and purification of m-cresol product.The process and method are scientific and reasonable, and can realize continuous production, and have important role in mixed cresol separation amplification production.At the same time, it also has wide applicability in other chemical amplification production, separation and purification fields.

The invention discloses a federal learning method based on semantic-geometric reconstruction. The method comprises the steps that a server initializes global model parameters and a global prototype and distributes the global model parameters and the global prototype to clients; the client side utilizes local data and a global prototype to extract features in parallel through a global feature extractor and a local heterogeneous feature extractor, and self-adaptive affine transformation is carried out through a global feature guiding module to generate fusion features; performing multi-stage classification prediction by using a continuous scale autoregression module, and calculating classification loss; calculating in-view comparison loss and inter-view consistency loss through a double-view prototype comparison learning module; according to the total loss function optimization parameters, local prototypes are aggregated and uploaded to a server; and the server updates global parameters after weighted aggregation and issues the global parameters to the client, and iteration is carried out until convergence. According to the method, semantic noise is effectively suppressed, a cross-scale discrimination gap is reduced, prototype drift is corrected, and generalization performance and classification accuracy in a heterogeneous data and model environment are remarkably improved.

The invention provides a segmented frequency domain self-supervised multi-contrast MRI (Magnetic Resonance Imaging) super-resolution reconstruction method. The method comprises the following steps: constructing and training a super-resolution reconstruction model, inputting to-be-reconstructed MRI image information of a tested object into the trained super-resolution reconstruction model, and outputting a continuous-scale high-resolution reconstruction image. According to the super-resolution reconstruction model provided by the invention, high-quality reconstruction can be completed by utilizing low-resolution data of a patient, and dependence on an external big data set is reduced; multiple MRI contrast ratios are processed at the same time, so that complementary information of all modes is fused to the maximum extent, and the overall reconstruction effect is improved; the MRI data information is effectively supervised, so that the constraint of low-frequency signals can be ensured, and a better high-frequency detail and edge reconstruction effect can be achieved.

The present application relates to the technical field of cartographic generalization, and particularly relates to a continuous scale merging method and system for areal natural features based on Morphing, which establishes a continuous scale expression concept model, that is, inputting large scale features and small scale features, outputting intermediate scale features according to the change of transformation degree, obtaining the corresponding relationship of large scale and small scale map features according to the area overlay rate, merging a group of large scale features corresponding to the same small scale feature by using the Greiner-Hormann algorithm after obtaining the corresponding relationship of features, classifying and simplifying the boundary lines of the merged features, combining the simplified boundary lines according to the order of the original feature boundary lines, and obtaining the final intermediate scale features. The present application realizes the continuous scale merging and boundary simplification operation of mutually separated areal natural features.

The application belongs to the technical field of geographic spatial information processing, and particularly relates to a contour continuous scale simplification method based on a perpendicular distance method. The method comprises the following steps: S1. For a contour, the perpendicular distances from the middle node of the three adjacent nodes of the contour to the connecting line of the left and right nodes are calculated, and all the perpendicular distances of the contour are sorted; S2. The contour is simplified by using the perpendicular distance method in combination with the buffer channel corresponding to the contour; if the connecting line of the two adjacent nodes of a node is in the buffer channel corresponding to the contour, the node is deleted to simplify the contour, otherwise, the node is retained; S3. Step S2 is repeated until the termination condition is met, so that the contour simplification is completed; and S4. All the contours are simplified according to the method of steps S1, S2 and S3. Through the above steps, the problem that the contour data in geographic spatial data cannot be expressed by a continuous scale is effectively solved.

The utility model relates to grinding device technical field especially discloses an adjustable grinding device for curing agent production, including casing and two adjusting handwheels, and the measuring component includes two dials, the outside of each adjusting handwheel is provided with the pointer, and each fixed mechanism includes the locating block, nut and bolt, the outside of locating block is slid in the one end of dial, and bolt is connected in the inside of nut and is used for limiting the movement of dial, and the edge of two dials corresponding to the same adjusting handwheel is tightly combined to form continuous scale surface, and the scale line keeps accurate alignment, and when operating, the adjusting handwheel is rotated, the pointer is rotated synchronously with the adjusting handwheel and forms continuous indicating track on the combined dial, and the displacement difference of two side pointers can be observed, the rotation amplitude of two adjusting handwheels can be directly controlled to keep consistent, the grinding gap deviation caused by the adjustment difference is effectively avoided, the curing agent particle grinding uniformity is ensured, and the production quality of curing agent product is further guaranteed.

The present application relates to the field of landslide soil strength prediction, and more particularly to a landslide soil strength prediction method based on CT scanning microstructure parameters. The content includes: CT scanning of landslide soil samples, obtaining CT images of landslide soil, and performing gray scale normalization processing; after gray scale normalization processing, a direction-scale joint structure response operator is introduced to construct a structure density field; a continuous scale disturbance calculation mechanism is introduced, the CT image of the landslide soil is divided into multi-scale voxel blocks according to the spatial scale, and based on the structure density field, the normalized structure disturbance strength index under each spatial scale is generated; based on the normalized structure disturbance strength index under each spatial scale, the scale response parameter is generated; a structure response prediction model is introduced, and based on the structure density field and the scale response parameter, the shear strength of the landslide soil is predicted. The problems of the existing landslide soil strength prediction method, such as lack of structure resolution capability, low prediction accuracy and difficulty in adapting to multi-scale structure characteristics, are solved.

This invention discloses a method and system for calculating spatial interaction efficiency based on a 3D model and voxel partitioning, relating to the field of 3D modeling and data processing technology. The method includes the following steps: voxelizing the 3D model of the target object into a material mesh; adaptively partitioning the source space into non-uniform voxels based on solid angle gradients; obtaining an anisotropic response correction operator through a lookup table; performing path tracing on the emitted rays of each source voxel and calculating the total path transmission weight using the correction operator; finally, numerically integrating based on the solid angle, transmission weight, and volume of each voxel to obtain the total interaction efficiency value, and fitting it into a continuous scale curve. This invention balances computational accuracy and speed through adaptive partitioning, and improves model realism through full path tracing and anisotropic correction, achieving efficient and accurate calculation of spatial interaction efficiency under complex conditions. It is applicable to scenarios such as passive efficiency calibration of radiation detectors.