9 results about "Size determination" patented technology

The invention discloses a power station meter shell damage defect detection method based on positive sample defect comparison. According to the method, a target detection model is used to obtain each meter area and meter type, then a diffusion generation algorithm is used as a basic model, a self-adaptive sampling step length determination mechanism and a self-adaptive spatial feature fusion mechanism are designed, and an original diffusion generation model is adapted to a generation model suitable for abnormal defect detection. According to the model, no matter whether a meter image has a shell damage area or not, a meter image without shell damage can be generated, finally, a DinoV2 model with power transformation knowledge is used for obtaining a thermodynamic diagram of a defect area, and finally analysis and judgment are obtained.

The invention relates to the field of geology and rock engineering, in particular to a rock mineral component automatic segmentation method based on image processing and multi-channel association. In the aspects of geological research and lithology identification, quantitative analysis of rock mineral components is crucial, and the method is based on a rock digital image and comprises the following steps: firstly, carrying out preprocessing such as cutting, size determination and noise reduction on an original rock sample image; then, determining an initial segmentation threshold value of mineral components in the rock by applying a pixel row curve and digital image interaction method, and carrying out initial segmentation on the mineral components of the rock; and finally, mineral components with similar colors and textures are subjected to secondary segmentation by using the incidence relation among multiple channels, so that the accuracy of rock mineral component segmentation is improved. According to the method, the accuracy of rock mineral component analysis is improved, geological employees can more quickly and better understand the composition and category of rock materials, and a high-precision mesoscopic numerical model can be provided for numerical simulation analysis of the rock materials.

The invention belongs to the technical field of aeronautical equipment quality judgment, and particularly relates to a minimum sample size determination method and system for aeronautical equipment reliability assessment, and the method comprises the steps: S1, carrying out the normality test of the sample size data for aeronautical equipment reliability assessment, and determining the initial minimum sample size; s2, performing skewness detection on the sample size data for reliability evaluation of the aviation equipment; s3, correcting the minimum sample size of reliability evaluation of the aviation equipment according to the sample data skewness judgment parameters; and S4, determining the minimum sample size of aviation equipment reliability evaluation. And S5, carrying out reliability evaluation according to the minimum sample size for reliability evaluation of the aviation equipment finally determined in the step S4. The method provided by the invention has very high engineering value in a small sample scene with high sample acquisition cost and long period in aeronautical equipment development.

The application discloses a method and device for simulating the post-waving buckling deformation of a cold-rolled thin wide strip, and comprises the following steps: determining the size of a cold-rolled thin strip sample and the deformation area and size thereof, determining the base plate material and the initial heating final temperature based on the size of the deformation area, determining the size of the base plate, cutting the cold-rolled thin strip sample with good plate shape and drawing an original speckle pattern, performing original speckle quality evaluation, calibrating the original speckle based on the calibration plate after the quality is qualified, heating the base plate and the thin strip sample to the heating final temperature, bonding the connecting surface of the thin strip sample and the base plate through a rolling coating mechanism, observing and recording the data of the bonded thin strip sample through a high-speed camera, and determining the photographing trigger condition according to the temperature interval, and processing the recorded data. The obtained results can be used for the research on the elastic buckling theory and the plate shape control.

The invention relates to a sample size determination method and device and a storage medium, and the method comprises the steps: determining score mapping models corresponding to a plurality of original sample sizes, each original sample size corresponding to a plurality of score mapping models, each score mapping model representing influence factor scores of a plurality of influence factor satisfaction degrees under different groups, and according to the plurality of score mapping models corresponding to each original sample size, determining a model stability parameter corresponding to each original sample size, and determining the original sample size with the model stability parameter meeting a stability condition and the minimum sample size in the plurality of original sample sizes as a target sample size. Therefore, under the condition that a stable and accurate score mapping model is established, the sample size can be reduced as much as possible.

The invention relates to a sample treatment method and a method for measuring the granularity of lubricating oil through a shading method.The method comprises the steps that S1, an oil sample to be measured is placed in a closed container and then dried under the vacuum condition, and the treated oil sample to be measured is obtained; according to the method provided by the invention, the to-be-detected oil sample can be dehydrated and degassed at the same time before granularity determination, the trace moisture of the to-be-detected oil sample can be effectively reduced, and the influence of the trace moisture in the to-be-detected oil sample on the granularity determination is effectively avoided, so that the accuracy and stability of the granularity determination of the to-be-detected oil sample are further improved.

This invention relates to the field of testing technology for power oil, and discloses a fully automatic particle size determination device and method. The device includes multiple fixed functional stations set on a frame, including a sample station, a cover opening and closing unit, an ultrasonic treatment device, an outer wall cleaning unit, and a particle size analyzer. Each functional station is arranged in a loop-shaped flow path, and a robotic arm 3 is set on one side of the loop-shaped flow path area. The system completes the fully automated operation of a sample from pretreatment to detection and posttreatment.

Techniques are described for maintaining patient privacy in association with obtaining patient data for machine learning applications. In one example, a method may include accessing, by a system including a processor, a training dataset associated with a machine learning model, the training dataset including data samples each including unique features of an individual. The method also includes determining, by the system, characteristic curve information that associates different data portions extracted from the data samples with respective probabilities that match the different data portions to respective ones of the data samples from which the different data portions are extracted. The method also includes controlling, by the system, collection of a new data portion extracted from a new data sample corresponding to the data sample based on the new data portion complying with criteria defining a target data portion, wherein the criteria include a probability of the respective probabilities that meets an anonymous criterion.

The invention belongs to the technical field of biological medicines, and particularly discloses a Florfenicol particle size analysis method, which is carried out by adopting a particle size analyzer, and is characterized by comprising the following steps: uniformly shaking a Florfenicol raw material medicine sample, putting the sample into a test tube, adding a dispersing agent into the test tube, carrying out vortex treatment until the sample is uniformly dispersed, preparing a sample suspension, and carrying out freeze drying on the sample suspension to obtain the Florfenicol particle size analysis product. The sample suspension is taken and placed in a particle size analyzer to be subjected to background testing, after the background testing is completed, the sample suspension is shaken up, the shaken-up sample suspension is added into a dispersing pool of the particle size analyzer, the particle size analyzer is used for carrying out wet-method particle size determination, and an analysis result is obtained. The invention provides a Florfenicol particle size analysis method, which is used for providing a stable and accurate measurement method for the measurement of the particle size of Florfenicol.