36results about How to "Guaranteed objectivity" patented technology

The invention aims at providing a fine partition method of soil pollutant content spatial distribution. The fine partition method of the soil pollutant content spatial distribution solves the problem that an existing spatial interpolation method cannot achieve fine partition of soil pollutant distribution due to the problem of interpolation transboundary. The fine partition method uses a spatial relation between the soil pollutant content distribution and a pollution source as a reference, extracts a constraint region, builds a boundary constraint space interpolation algorithm based on the constraint region, enables spatial interpolation to be restrained in a reliable space region, and achieves the fine partition of the soil pollutant content distribution. The fine partition method of the soil pollutant content spatial distribution has the advantages of extracting the pollution source influence range serving as a boundary constraint condition, restraining spatial interpolation of unknown sites in the reliable space region, and achieving accuracy and reliability of partition of the soil pollutant content distribution. The fine partition method of the soil pollutant content spatial distribution is suitable for digital map production of the pollutant content distribution of the fields of soil, zoology, hydrology and the like.

The invention provides a fuzzy measurement method for network equipment information security evaluation, and belongs to the technical field of network space security. The fuzzy measurement method comprises the steps of firstly setting index weights, building a fuzzy judgment matrix for the pairwise index relative importance degree of a sub-index set of a certain index, calculating maximum and minimum possible values and an average value for each element in the fuzzy judgment matrix according to evaluation data of known institutions, representing each element into a triangular fuzzy number by using the three values, then calculating the weight of each de-fuzzy sub-index, performing weight resetting on sub-indexes with the calculated weight being 0, and then performing normalization to acquire a final weight of each sub-index; and then performing cross-testing on network equipment, acquiring a test data result, providing comments by an expert, and performing judgment on the security of the network equipment according to the acquired sub-index weights and the comments. The fuzzy measurement method realizes judgment for the security of the network equipment, and the judgment result is more objective and more accurate.

The invention discloses a nondestructive testing method for a furnace body lining based on impact elastic waves. The nondestructive testing method for the furnace body lining based on the impact elastic waves comprises the following steps: (a) determining a measuring point position and an exciting position on the surface of a furnace body; (b) mounting a sensor at the measuring point position andan excitation device in the exciting position; starting the excitation device to excite and collecting vibration signals through the sensor; (c) analyzing the vibration signals and saving analysis conditions and an analysis result; (d) using the same excitation device, repeating the steps (b) to (c) in the same measuring point position and excitation position in the step (a) after a period of time, and using the same analysis conditions in the step (c) to perform analysis; (e) performing trend analysis on the analysis result obtained at different times to obtain change trends of the thicknessof the furnace body lining so as to judge the safety of the furnace body. The nondestructive testing method for the furnace body lining based on the impact elastic waves disclosed by the invention isused for solving the problem of difficulty in accurately performing non-destructive testing on the furnace body lining in the prior art, so as to provide a sufficient basis for judging the state of the furnace body lining.

The invention discloses a multi-borehole information protecting layer mining pressure relief range actual measurement method which includes the steps: 1) drawing a protecting layer mining stereoscopic schematic diagram and drawing theoretical reference boundary lines in the protecting layer mining stereoscopic schematic diagram; 2) designing a special gas extraction lane and a drill site; 3) designing actual measurement boreholes; 4) constructing the actual measurement boreholes; 5) recording borehole information; 6) calibrating an actual measurement pressure relief range. Authenticity and objectivity of the influence range of protecting layer mining for protected layer pressure relief are fundamentally guaranteed, protecting layer mining actual pressure relief range can be acquired, pressure relief blind zones are avoided, and powerful technical support is provided for safe and efficient mining of a protected layer.

The invention proposes an image automatic scoring method and scoring system based on element identification, belonging to the technical field of image quality evaluation. The method includes the following steps: S100: Acquire a picture to be rated; S200: Determine the foreground area image and the background area image of the picture to be rated; S300: Acquire the first depth map information of the foreground area image and the second depth map information of the background area image; S400: Obtain a scoring result of the picture to be scored based on the first depth map information and the second depth map information. The system includes a light field camera shooting component, a user interaction component, a depth information acquisition component, and a picture scoring calculation component. The invention proposes a computer terminal device and a storage medium for realizing the method. The present invention can realize shooting adjustment or picture sharing after automatic quality scoring of pictures taken by a light field camera based on element depth information identification.

An electronic endoscope processor includes: a converting means for converting each of a plurality of pieces of pixel data that are made up of n (n≥3) types of color components and constitute a color image of a biological tissue in a body cavity into a piece of pixel data that is made up of m (m≥2) types of color components, m being smaller than n; a correlation value calculating means for setting a reference axis that is related to a target illness and, for each pixel of the color image, calculating a correlation value with a predetermined reference that is related to the target illness; and an evaluation value calculating means for integrating the correlation values calculated for the pixels and setting a sum of the correlation value obtained by the integrating as an evaluation value that is related to the target illness.