14results about How to "Guaranteed implementability" patented technology

The invention belongs to the technical field of image processing, and relates to an automatic scoliosis parameter measurement method based on X-ray film key point detection, which is characterized in that a key point thermodynamic diagram and an offset diagram of a spine centrum are predicted at the same time based on a multi-task deep learning network, and bilaterally symmetric feature information of a spine structure is captured in a priori explicit manner by using a symmetric offset distance. The centrum center point is accurately recognized, correct pairing of centrum angular points is completed, various abnormal detection conditions such as missing points, redundant points and outliers can be effectively solved, the accuracy of centrum key point detection is guaranteed, full-automatic measurement of scoliosis core parameters such as Cobb angular parameters is achieved according to clinical measurement criteria, the calculation complexity is low, the real-time performance is high, and the method is suitable for large-scale popularization and application. And a foundation is laid for subsequent intelligent diagnosis and treatment of spinal diseases.

The invention provides a breast cancer model construction method based on Cox regression, and relates to the technical field of clinical medical diagnosis and treatment, and the method comprises the following steps: obtaining a prognosis lifetime and a plurality of clinical factors of a breast cancer patient, associating the prognosis lifetime with the plurality of clinical factors, and constructing a sample set; performing Cox regression analysis on the basis of the sample set to obtain final clinical factors of the breast cancer patient to be predicted, and constructing a prediction model on the basis of Cox regression analysis; and performing internal verification on the prediction model based on the sample set, and obtaining the verified prediction model when the verification is passed. According to the method, the identification accuracy of the prediction model can be improved, and the prognosis survival probability of the breast cancer patient is efficiently predicted, so that reference is provided for treatment of the breast cancer patient.

The present application discloses a capability opening method, apparatus, communication device and storage medium. The method comprises: a first device receives capability opening rule configuration information from a second device, the capability opening rule configuration information comprises a capability opening mode; the capability opening mode is used to indicate the first device as a capability opening mode of a third device.

The present invention relates to the field of biomedicine, and in particular to a gel separation buffer for capillary electrophoresis detection, characterized in that it comprises: tris(hydroxymethyl)aminomethane (Tris), 3.1-4.6% (w / w) boric acid, disodium ethylenediaminetetraacetate (EDTA), glycerol, a surfactant, 8.0-12.0% (w / w) dextran, wherein the surfactant is sodium dodecyl sulfate (SDS) or sodium hexadecyl sulfate (SHS). The present invention provides a gel separation buffer with good separation, stable baseline and good durability.

The present invention discloses a foundation cushion structure and a construction method thereof, wherein the foundation cushion structure comprises: a geocell, comprising a first geotechnical partition and a second geotechnical partition arranged in a grid shape; a geobag, wherein vibration-damping materials are filled inside, and the geobags filled with vibration-damping materials are respectively compacted and stacked in the grid space of the geocell according to height; a plurality of limiting shafts, respectively inserted between a first limiting sleeve of the first geotechnical partition and a second limiting sleeve of the second geotechnical partition, wherein the outer sides of the first limiting sleeve and the second limiting sleeve are respectively laterally movable and plugged with corresponding fixed pins, and a blocking and pushing mechanism matched with the fixed pins is arranged on the limiting shaft. The present invention forms a lateral restraining force for the stacked geobags through the geocell to ensure the stacking stability of the geobags filled with vibration-damping materials, and then effectively forms a reasonable vibration-damping effect through the vibration-damping materials in the stably arranged geobags.

The present invention discloses a system for implementing a hyperthreading architecture of multiple threads in parallel in a processor, including: an FU operation domain, a GS state domain, and a physical channel switch array. The FU operation domain describes the FU mapping state, and the FU includes a time series layer part FU_TL and a current synthesis layer part FU_CL; the GS state domain is converted from the VLcore operation domain, and the GS state domain can be converted from the VLcore operation domain back to the FU operation domain, and the VLcore operation domain conversion is an analysis of the current use state of the FU with VLcore as the medium. The present invention has only one set of hardware for logic cores and operators, saving resources; by dividing FU functional units and dynamically mapping, multi-core logic cores and operators are virtualized to achieve the effect of synchronous multi-threading; reducing system complexity and ensuring feasibility.

The application relates to the technical field of railway engineering materials, in particular to an anti-seismic and waterproof earthwork cloth manufacturing process for a railway track.S1: material pretreatment, selecting nano-modified polyester filaments, elastic rubber, HDPE resin, self-healing adhesive and nano-silicon dioxide powder as core raw materials;S2: completing preparation of each layer;S3: composite process, closely combining the anti-aging surface layer, the anti-seismic and damping middle layer and the anti-corrosion bottom layer through an intelligent temperature control composite process in an embedding structure to form a gradient composite structure;S4: factory prefabrication;S5: on-site paving and sealing;S6: finished product detection and repair, and completing the manufacturing.The layered preparation, precise embedding and intelligent temperature control composite process are adopted, the layers are closely adhered, molecular-level fusion is realized, the problems of layering and degumming between the layers are effectively avoided, and the overall structural stability of the earthwork cloth is favorably ensured.

The invention discloses a gold bump preparation method for thermal ultrasonic spherical gold wire bonding, a flip-chip bonding structure and a chip, and relates to the field of chips. According to the mass fraction, the method comprises the following steps that a plurality of gold protruding points are formed on a flip-chip bonding pad through hot ultrasonic spherical gold wire bonding, and the width of the flip-chip bonding pad is larger than or equal to 150 micrometers. A plurality of gold bumps are formed through thermal ultrasonic spherical gold wire bonding, so that the plurality of gold bumps can support a flip-chip bonding pad with the width greater than or equal to 150 [mu] m for a large-size chip. Based on the specific requirements of gold wires with different diameters and the sizes of the bonding pads, combined preparation of various gold bumps is performed, the contact area of the bonding pads on the flip chip and the bonding pads on the substrate is increased, electrical signal interconnection between the bonding pads is completed, the gold bump process replaces micro gold bumps and copper columns which are high in cost and complex in process, the cost can be reduced, and the production efficiency is improved. The efficiency is improved.

The invention provides a serous ovarian cancer prognosis survival time back test method constructed based on Lasso regression, and relates to the technical field of biomedicine, and the serous ovarian cancer prognosis survival time back test method comprises the following steps: obtaining the prognosis survival time and final clinical factors of a serous ovarian cancer patient, associating the prognosis survival time with the final clinical factors, and constructing a sample data set, and establishing an initial model, carrying out Lasso regression test based on the test sample set, obtaining a trained back test model when the test passes, and otherwise, carrying out iterative training based on the training sample set and obtaining the back test model again. According to the method, the recognition accuracy of the back-test model can be improved, and the prognostic survival probability of the serous ovarian cancer patient is efficiently back-tested, so that a reference is provided for treatment of the serous ovarian cancer patient.

The pipe network robot path and data station deployment joint optimization method disclosed by the application belongs to the technical field of smart city infrastructure operation and maintenance, and specifically comprises the following steps: firstly, a pipe network-robot-data station system model is constructed, and the pipe network topology is mapped into an undirected graph; secondly, combined with EPANET hydraulic simulation data, the pipe monitoring time is calculated under the conditions of downstream flow and upstream flow, and a hybrid graph with time weight is constructed; then, a weighted optimization mathematical model with the double objectives of minimizing the maximum monitoring time and minimizing the maximum data delay is established, and constraint conditions such as pipe full coverage and robot collision-free are defined; finally, the NSGA-II algorithm is used to generate a Pareto frontier, and the best compromise scheme is selected through weight distribution. The application solves the technical problems that the robot path planning and data station deployment lack cooperation in the existing pipe network monitoring technology, and the pipe network hydraulic characteristics are not coupled, so that the monitoring time and data delay are difficult to consider.

The invention provides a wafer cutting depth control method, a wafer cutting depth control system and a wafer scribing machine, which are used for solving the problem of insufficient cutting depth precision caused by uneven wafer thickness and uneven cutting table surface. The method comprises the following steps: firstly, establishing a fixed compensation relation value between a height measurement value of a cutting knife body and a laser distance measurement value through calibration; secondly, multiple points on the surface of the wafer are scanned through a laser range finder before cutting, and a curved surface model of the surface appearance of the wafer is fitted through an interpolation algorithm; and finally, in the cutting process, the predicted height is obtained from the curved surface model according to the coordinates of the current cutting point, and the position of the cutter body is calculated and adjusted in real time in combination with the fixed compensation relation value and the preset cutting depth. The system comprises corresponding hardware and a control module. According to the method, constant control over the cutting depth is achieved through dynamic compensation, and the precision and consistency of the cutting technology are greatly improved.

The utility model relates to a rear joint bar anchor rod / pile of a dumping type reserved large-cavity spiral drill rod, which can be applied to the fields of foundation pit support, side slopes, leakage stoppage, floating resistance, reinforcement and deviation rectification. The anchor rod / pile is composed of a one-time soil discharging type large-cavity spiral drill rod, a rib body implanted after hole forming, cement paste or a double-liquid-slurry grouting body and auxiliary components. When the anchor rod / pile is implemented, an anchor rod drilling machine is used for drilling the soil discharging type large-cavity spiral drill rod in place, then the drill rod is reserved in a stratum, a rib body is implanted into the large cavity, then pressure grouting is conducted after hole sealing, and the interior and the exterior of the drill rod are fully grouted through a pressure grouting hole reserved in the front end of the drill rod. The anchor rod / pile can be effectively implemented in a quicksand layer and a sand pebble layer with flowing water or confined water, ensures that the bearing capacity meets the requirement, and is particularly suitable for an anchor rod needing to penetrate through a waterproof curtain or leaking stoppage, anti-floating, reinforcing, deviation rectifying and layer adding projects. The anchor rod / pile can be used as an uplift anchor rod, an uplift pile, a bearing pile and a support pile.

The invention relates to an automatic detection unit flexible tool, and belongs to the field of rudder sheet measurement. The device comprises a supporting assembly (1) and a tray assembly (2), the support assembly (1) is used for providing support and zero point positioning reference, and the tray assembly (2) is arranged above the support assembly (1) and is used for bearing and fixing a part to be tested; the supporting assembly (1) comprises a zero point tool (3), a quick connection gas circuit (4), a proximity switch (5) and a bottom plate (6). The bottom plate (6) is a square plate and fixed to a three-coordinate platform, the zero point tool (3) is arranged in the middle of the upper portion of the bottom plate (6), the quick-connection gas circuits (4) are arranged at the symmetrical positions of the two sides of the zero point tool (3), and the proximity switch (5) is further arranged on the upper portion of the bottom plate. And the feasibility of automatic detection of the rudder sheet is ensured from a mechanical structure.

The invention discloses a high-pressure inflatable tent anomaly detection method based on machine vision, and relates to the technical field of inflatable tent structure safety monitoring, and the method comprises the following steps: S1, continuously obtaining an image sequence of the surface of a tent lining through an image collection device disposed in a tent; and air pressure time sequence data in the tent are synchronously collected through an air pressure sensor arranged in the tent. According to the high-pressure inflatable tent anomaly detection method based on machine vision, dual information of machine vision and air pressure sensing is fused, a multi-mode collaborative sensing system is constructed, and the inherent defect that a traditional single air pressure threshold detection method is insufficient in sensitivity in a dynamic environment is effectively overcome. According to the method, the complementary characteristic of the visual deformation characteristic quantity and the air pressure trend characteristic quantity is utilized, and the active excitation verification mechanism and the iterative decision model are combined, so that the accurate identification of the early-stage tiny leakage of the inflatable tent is realized, the reliability of anomaly detection is improved, and the false alarm phenomenon caused by environmental interference is reduced.