7results about How to "Small standard deviation" patented technology

The application provides an aluminum profile pre-aging stability treatment method and belongs to the technical field of aluminum profile production. A data set is established through cross-section thickness scanning, a multi-scale asymptotic expansion homogenization algorithm and thermodynamic path integral Monte Carlo simulation are used to predict a temperature field and precipitate phase evolution, a double-layer game model is used to optimize partition heating power distribution, temperature history synchronous control is realized through dynamic adjustment of a model prediction controller, an artificial intelligence organization uniformity evaluation model and a learning rate dynamic adjustment mechanism are combined to realize online optimization, and finally, process parameters are adjusted through mechanical property detection feedback, so that the technical problem of large differences in precipitate phase organization states caused by uneven temperature distribution in different cross-section thickness regions during the pre-aging process of the aluminum profile is solved.

A negative electrode for an electrochemical device and an electrochemical device including the same are provided. The negative electrode for the electrochemical device comprises: a current collector; and a negative electrode active material layer present on the current collector, wherein the negative electrode active material layer comprises particles containing a silicon-based active material, a linearly conductive material, and a binder for the particles, wherein the dispersion of the particles within the negative electrode active material layer is 1 × 10⁻⁶. ‑2 Up to 10×10 ‑2 The standard deviation of particle dispersion is 1×10⁻⁶. ‑3 Up to 4×10 ‑3 The volume expansion rate of the negative electrode active material layer is 3% to 30%.

The application provides an interval event matching method and system of a content-based publish / subscribe system, through constructing a predicate disjoint set and an optimized partition model thereof, and integrating a learning index of a range query recursive model index in each partition, high-speed, stable and verifiable matching of events to a subscription set under multi-attribute interval predicates is realized; in particular, the traditional memory-intensive matching is reconstructed into a calculation-intensive process mainly based on model reasoning, while correctness and completeness are ensured, average latency is reduced and long tail delay is inhibited, and key modules such as partition and coverage optimization, model training and online reasoning, error boundary control and limited correction, and accurate back matching of residual set subscription are included.

This invention discloses a method for preparing finasteride tablets, relating to the field of pharmaceutical preparation technology. The method includes: preparing a surfactant into an aqueous solution, adding a first-prescription amount of binder to form a binder suspension; premixing finasteride, a filler, a first-prescription amount of disintegrant, and a second-prescription amount of binder to obtain a premixed material; adding the binder suspension to the premixed material for wet granulation to obtain wet granules; drying and sizing the wet granules, then mixing them with a second-prescription amount of disintegrant and lubricant, and compressing the mixture into tablets. This invention, while ensuring rapid tablet release, achieves the production of tablets with suitable hardness and stable properties at a relatively low compression pressure. Furthermore, this invention utilizes non-organic solvents for granulation, significantly improving the stability, safety, and industrial production efficiency of the final product without the addition of non-standard excipients.

The application discloses a gradient detection method for uniform corrosion performance of ferritic stainless steel and belongs to the field of stainless steel corrosion performance detection. The method provides a gradient detection method for the problems that the standard method of GB4334.6-2015 cannot measure the uniform corrosion rate of 409, 430 and other ferritic stainless steel and the test time of the prior art is too long. The method comprises sample preparation, preparation of a basic corrosion medium, selection and adjustment of the gradient of the corrosion medium, corrosion test, treatment of the sample after corrosion and calculation of the uniform corrosion rate. By controlling the hydrogen ion concentration [H + ] to be 0.5-2.0 mol / L, the chloride ion concentration [Cl ‑ ] to be 0.5-2.0 mol / L and the molar ratio of [H + ] / [Cl ‑ ] to be 0.3-0.9, the uniform corrosion is ensured; a three-level gradient detection system of 'basic medium-concentration optimization-corrosion inhibitor assistance' is established, and universal detection of ferritic stainless steel with different corrosion resistance is realized. The test time of the method is only 0.5-1 h, which is 6-12 times more efficient than the prior art of 6 h, the technical blank of the uniform corrosion detection of ferritic stainless steel is filled, and the method has good reproducibility and stability.

The invention discloses an electrochemical sensor as well as a preparation method and application thereof, and relates to the technical field of sensors. The electrochemical sensor comprises a working electrode, a reference electrode and a counter electrode, wherein the surface of the working electrode of the electrochemical sensor contains a nano composite material; the nano composite material comprises a nitrogen-doped carbon-coated ferric oxide material and conductive nano particles. The electrochemical sensor disclosed by the invention has high sensitivity and high stability, has strong adsorption capacity on a target object when being applied to the field of detection, is small in relative standard deviation of test results obtained after being placed for different days, is particularly suitable for detection of 2, 4-dichlorophenol, and has the advantages of wide detection linear range, high sensitivity and the like.

The application discloses a hyperspectral laser radar point cloud edge effect detection and filtering method, and relates to the technical field of laser radar remote sensing data processing.The application can robustly identify all points affected by edge effect at all wavelengths by constructing a multi-wavelength edge threshold automatic detection method based on an intensity distribution histogram.Further, by fine edge detection based on neighborhood convolution, points that are misdetected due to low reflectivity on the surface of leaves are effectively removed.Finally, by spherical space filtering, the intensity values of edge points are corrected by using the intensity information of the points inside the leaves around the edge points.The experimental results show that after the method is processed, the standard deviation of the intensity of the edge region of the leaves is reduced by 22.68%, the coefficient of variation is reduced by 28.30%, the coefficient of variation of all wavelengths is less than 1 (the average is 0.7288), and the consistency and quantitative reliability of the spectral data of the edge region are significantly improved.The method has a clear and simple operation process, can be embedded into an existing hyperspectral laser radar data processing process, and has important significance for improving the precision of three-dimensional inversion of vegetation biochemical parameters.