7results about How to "Short acquisition time" patented technology

The invention discloses a shaft part radial total run-out error measurement method based on image processing. The method comprises the following steps: S1, acquiring an image of a measured part; s2, establishing an initial point cloud image based on a three-dimensional coordinate system O1 according to the image of the measured part; s3, in the initial point cloud image, determining the axis of the image by using a fitting algorithm; s4, establishing a new three-dimensional coordinate system Oe by taking the axis as a coordinate axis; s5, establishing a conversion matrix T between the three-dimensional coordinate system O1 and the three-dimensional coordinate system Oe, and converting the point cloud image data based on the three-dimensional coordinate system Oe into the point cloud image data in the three-dimensional coordinate system O1 through the conversion matrix T; and S6, calculating the distance from the midpoint of the point cloud to the Z axis, and obtaining an error value by using an error judgment method. According to the error measurement method, the problems of unreasonable reference establishment and inaccurate data acquisition in the prior art are solved.

The invention provides a method for calculating the fatigue limit of an aluminum alloy by utilizing defects and yield strength, which comprises the following steps: S1, obtaining the yield strength of the aluminum alloy by utilizing a tensile test; s2, a fatigue test is utilized, a large load is loaded, the sample is broken within 2 hours, and a fatigue fracture is obtained; s3, observing a fatigue crack source, and measuring the defect area and the like of the crack source; s4, according to the results of the steps S1 and S3, calculating the fatigue limit by using a mathematical relationship between the yield strength, the defect area and the like and the fatigue limit to obtain a first fatigue strength value; s5, repeating the steps S2, S3 and S4 to obtain a second fatigue strength value; repeating the steps S2, S3 and S4 again to obtain a third fatigue strength value; and by parity of reasoning, after three or more fatigue strength values are obtained, an average value, namely the fatigue limit, is obtained. The method has the beneficial effects that the defect and the yield strength are comprehensively considered, the accuracy of the calculated fatigue limit is higher, and time, manpower and material resources are saved.

Disclosed herein are systems and methods for estimating autofluorescence (AF) signals and other non-target signals in each channel of a multi-channel image of a biological sample stained with one or more fluorescent markers. In some embodiments, the estimated autofluorescence signal can then be subtracted or masked from the multi-channel image. In some embodiments, the multi-channel image with autofluorescence removed can then be used for further processing (e.g., image analysis, etc.).

This invention discloses a soil volumetric water content (VWC) measurement system based on LoRa-RSSI and a drone. The system comprises several underground LoRa nodes for collecting environmental monitoring data; a host computer embedded in the soil; and an aerial node carried by a small drone. Combining IoUT technology, this invention designs an innovative system for soil VWC measurement based on LoRa received signal strength and a drone. The system utilizes the changes in LoRa-RSSI between the soil's internal transmitter and the drone's aerial receiver during the drone's angular rotation. Combined with a Long Short-Term Memory (LSTM) network, it collects differential LoRa-RSSI values ​​and uses a deep learning (DL) algorithm to calculate soil VWC, achieving relatively accurate soil VWC data. This invention eliminates the need for depth measurement of VWC data, utilizes soft sensors to measure soil VWC, and offers low cost, high efficiency, and small measurement error, providing a novel approach for soil VWC measurement design.

The invention relates to the technical field of magnetic resonance imaging, in particular to a cardiopulmonary magnetic resonance imaging method and system based on a low-rank tensor approximation algorithm, and the method comprises the steps: S1, synchronously collecting magnetic resonance k-space imaging data, breathing phase data and cardiac phase data of a patient; s2, constructing a three-dimensional data tensor according to the magnetic resonance k-space imaging data, the breathing phase data and the heartbeat phase data; s3, filling an unsampled region corresponding to the magnetic resonance k-space imaging data in the three-dimensional data tensor by adopting low-rank approximate estimation to obtain a filled three-dimensional data tensor; and S4, carrying out image reconstruction by adopting the filled three-dimensional data tensor. The method has the beneficial effects that in the three-dimensional data tensor, the breathing phase data and the heartbeat phase data are combined to jointly carry out low-rank tensor approximate estimation, so that filling of the part of data is realized, a high-quality ULF-MRI image is conveniently obtained, and the scanning time does not need to be prolonged.

The invention discloses a method for detecting the concentration of rosaxostat in human plasma based on an LC-MS / MS technology. The method is easy and convenient to operate, simple in pretreatment and short in mass spectrum collection time (3 min), all verification indexes meet the requirements of laws and regulations, rosaxostat can be accurately quantified, laboratory operation is simplified and facilitated to the maximum extent, and clinical requirements are met.

The invention discloses a detection method and system for a complex ground random target, and the method comprises the steps: carrying out the data collection of a complex ground through collection equipment, and obtaining initial collection data; the data acquisition device at least comprises a hyperspectral acquisition device, an SAR acquisition device and a camera acquisition device; performing feature marking on the initial acquisition data acquired by the camera acquisition equipment; if the feature mark exists, carrying out detection and identification to obtain a detection result, and stopping carrying out detection and identification on initial acquisition data acquired by the hyperspectral acquisition equipment and the SAR acquisition equipment; and if no feature mark exists, performing consistency processing, normalization processing and detection identification on the initial acquisition data acquired by the hyperspectral acquisition device and the SAR acquisition device to obtain a detection result. In the invention, two channels are identified and detected, the identification efficiency is not influenced, and the identification cost is obviously reduced.